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Improvement in crop mapping from satellite image time series by effectively supervising deep neural networks / Sina Mohammadi in ISPRS Journal of photogrammetry and remote sensing, vol 198 (April 2023)
[article]
Titre : Improvement in crop mapping from satellite image time series by effectively supervising deep neural networks Type de document : Article/Communication Auteurs : Sina Mohammadi, Auteur ; Mariana Belgiu, Auteur ; Alfred Stein, Auteur Année de publication : 2023 Article en page(s) : pp 272 - 283 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] apprentissage dirigé
[Termes IGN] apprentissage profond
[Termes IGN] carte de la végétation
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] classification par réseau neuronal récurrent
[Termes IGN] cultures
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-OLI
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] série temporelleRésumé : (auteur) Deep learning methods have achieved promising results in crop mapping using satellite image time series. A challenge still remains on how to better learn discriminative feature representations to detect crop types when the model is applied to unseen data. To address this challenge and reveal the importance of proper supervision of deep neural networks in improving performance, we propose to supervise intermediate layers of a designed 3D Fully Convolutional Neural Network (FCN) by employing two middle supervision methods: Cross-entropy loss Middle Supervision (CE-MidS) and a novel middle supervision method, namely Supervised Contrastive loss Middle Supervision (SupCon-MidS). This method pulls together features belonging to the same class in embedding space, while pushing apart features from different classes. We demonstrate that SupCon-MidS enhances feature discrimination and clustering throughout the network, thereby improving the network performance. In addition, we employ two output supervision methods, namely F1 loss and Intersection Over Union (IOU) loss. Our experiments on identifying corn, soybean, and the class Other from Landsat image time series in the U.S. corn belt show that the best set-up of our method, namely IOU+SupCon-MidS, is able to outperform the state-of-the-art methods by
scores of 3.5% and 0.5% on average when testing its accuracy across a different year (local test) and different regions (spatial test), respectively. Further, adding SupCon-MidS to the output supervision methods improves
scores by 1.2% and 7.6% on average in local and spatial tests, respectively. We conclude that proper supervision of deep neural networks plays a significant role in improving crop mapping performance. The code and data are available at: https://github.com/Sina-Mohammadi/CropSupervision.Numéro de notice : A2023-203 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1016/j.isprsjprs.2023.03.007 Date de publication en ligne : 29/03/2023 En ligne : https://doi.org/10.1016/j.isprsjprs.2023.03.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103105
in ISPRS Journal of photogrammetry and remote sensing > vol 198 (April 2023) . - pp 272 - 283[article]A GIS-based model for automated land suitability assessment for main crops in north-western desert of Egypt (case study: south of Al-Dabaa Corridor) / Adel Shalaby in Applied geomatics, vol 15 n° 1 (March 2023)
[article]
Titre : A GIS-based model for automated land suitability assessment for main crops in north-western desert of Egypt (case study: south of Al-Dabaa Corridor) Type de document : Article/Communication Auteurs : Adel Shalaby, Auteur ; Hossam Khedr, Auteur ; Ehab Youssef, Auteur ; et al., Auteur Année de publication : 2023 Article en page(s) : pp 15 - 28 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] cultures
[Termes IGN] désert
[Termes IGN] Egypte
[Termes IGN] production agricole
[Termes IGN] système d'information géographique
[Termes IGN] utilisation du solRésumé : (auteur) The ever-increasing population causes huge pressure on the areas already inhabited and causes a decrease in an area per capita. This fact necessitates an essential demand for evaluating and classifying the soil according to its agricultural productivity for different crops. This research aimed to evaluate lands which proposed to use in the agricultural field in the south of Al-Dabaa Corridor based on remote sensed data and GIS techniques. Moreover, the future optimum agricultural use planning will be projected based on the land assessments in the study area. Land suitability was evaluated using ALES-arid software for six crops. It was found that 74% of the study area was suitable for one fruit crop, date palm, and about 77.3% for one crop, alfalfa, and also suitable for one vegetable crop, tomato, by 77.1%. Furthermore, it was found that the study area was moderately suitable for other two crops, faba bean and maize (72.7 and 67.8%), and one fruit crop, citrus (70.1%). On the other hand, it was found that the characteristics that most affected the suitability class of fruit crops were soil salinity, soil depth, ESP, slope, and coarse texture. Finally, the study area should go under major reclamation process (removal of the excess salts and improvement of the drainage conditions) in order to obtain the highest production. Numéro de notice : A2023-217 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s12518-022-00474-8 Date de publication en ligne : 30/11/2022 En ligne : https://doi.org/10.1007/s12518-022-00474-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103149
in Applied geomatics > vol 15 n° 1 (March 2023) . - pp 15 - 28[article]Vine canopy reconstruction and assessment with terrestrial Lidar and aerial imaging / Igor Petrovic in Remote sensing, vol 14 n° 22 (November-2 2022)
[article]
Titre : Vine canopy reconstruction and assessment with terrestrial Lidar and aerial imaging Type de document : Article/Communication Auteurs : Igor Petrovic, Auteur ; Matej Sečnik, Auteur ; Marko Hočevar, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 5894 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] analyse comparative
[Termes IGN] couvert végétal
[Termes IGN] défoliation
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] échantillonnage de données
[Termes IGN] épandage
[Termes IGN] lasergrammétrie
[Termes IGN] pas d'échantillonnage au sol
[Termes IGN] photogrammétrie aérienne
[Termes IGN] Slovénie
[Termes IGN] viticultureRésumé : (auteur) For successful dosing of plant protection products, the characteristics of the vine canopies should be known, based on which the spray amount should be dosed. In the field experiment, we compared two optical experimental methods, terrestrial lidar and aerial photogrammetry, with manual defoliation of some selected vines. Like those of other authors, our results show that both terrestrial lidar and aerial photogrammetry were able to represent the canopy well with correlation coefficients around 0.9 between the measured variables and the number of leaves. We found that in the case of aerial photogrammetry, significantly more points were found in the point cloud, but this depended on the choice of the ground sampling distance. Our results show that in the case of aerial UAS photogrammetry, subdividing the vine canopy segments to 5 × 5 cm gives the best representation of the volume of vine canopies. Numéro de notice : A2022-881 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.3390/rs14225894 Date de publication en ligne : 21/11/2022 En ligne : https://doi.org/10.3390/rs14225894 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102203
in Remote sensing > vol 14 n° 22 (November-2 2022) . - n° 5894[article]Habitats, agricultural practices, and population dynamics of a threatened species: The European turtle dove in France / Christophe Sauser in Biological Conservation, vol 274 (octobre 2022)
[article]
Titre : Habitats, agricultural practices, and population dynamics of a threatened species: The European turtle dove in France Type de document : Article/Communication Auteurs : Christophe Sauser, Auteur ; Loïc Commagnac , Auteur ; Cyril Eraud, Auteur ; et al., Auteur Année de publication : 2022 Projets : 1-Pas de projet / Article en page(s) : n° 109730 Note générale : bibliographie
Addendum : "The authors add: This study was partly funded and forms part of OFB's contribution to the European Commission contract ENV.D.3/SER /2019/0021 “Development of a population model and adaptive harvest mechanism for Turtle Dove (Streptopelia turtur)”. The authors would like to apologise for any inconvenience caused."Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] agronomie
[Termes IGN] analyse diachronique
[Termes IGN] Aves
[Termes IGN] habitat animal
[Termes IGN] haie
[Termes IGN] impact sur l'environnement
[Termes IGN] jachère
[Termes IGN] lisière
[Termes IGN] modèle numérique
[Termes IGN] politique de conservation (biodiversité)
[Termes IGN] R (langage)Mots-clés libres : tourterelle des bois Streptopelia turtur Résumé : (auteur) Agricultural changes in recent decades have led to a widespread loss of biodiversity, with habitat loss considered as the main factor in the decline. The European turtle dove is one of the farmland birds that has declined markedly in Europe, leading the IUCN to downgrade its status in 2015 from “Near Threatened” to “Vulnerable”. Knowledge of how habitat factors and agricultural practices influence the turtle dove population is crucial for the conservation of this species through the implementation of targeted measures. Here we investigate how foraging and nesting habitats influence the abundance of turtle doves at national and regional scales, using a 23-year dataset from point counts carried out throughout France, a stronghold country for this species during the breeding season. We found that turtle dove abondance was positively affected by fallow lands, both at national and regional scales. Turtle dove abundance was also negatively affected by fodder crop area at national scale, but the effect was detected in only four of the 13 French regions. We also showed that an increase in hedgerows length had a positive effect on turtle dove abundance. On the other hand, forest edges length showed a bell-shaped trend, suggesting that an increase in forest edges length may have a favourable effect on turtle dove abundance only up to a given threshold. We suggest that targeted conservation measures combining an increase in fallow lands and hedgerows length could allow the stabilisation or even an increase in turtle dove abundance in France, but also in European countries with similar landscapes. Numéro de notice : A2022-687 Affiliation des auteurs : IGN+Ext (2020- ) Autre URL associée : Addendum Thématique : BIODIVERSITE/GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.biocon.2022.109730 Date de publication en ligne : 09/09/2022 En ligne : https://doi.org/10.1016/j.biocon.2022.109730 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101612
in Biological Conservation > vol 274 (octobre 2022) . - n° 109730[article]Comparison of deep neural networks in detecting field grapevine diseases using transfer learning / Antonios Morellos in Remote sensing, vol 14 n° 18 (September-2 2022)
[article]
Titre : Comparison of deep neural networks in detecting field grapevine diseases using transfer learning Type de document : Article/Communication Auteurs : Antonios Morellos, Auteur ; Xanthoula Eirini Pantazi, Auteur ; Charalampos Paraskevas, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 4648 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] apprentissage profond
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] détection de changement
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] Grèce
[Termes IGN] jeu de données
[Termes IGN] maladie cryptogamique
[Termes IGN] maladie phytosanitaire
[Termes IGN] viticultureRésumé : (auteur) Plants diseases constitute a substantial threat for farmers given the high economic and environmental impact of their treatment. Detecting possible pathogen threats in plants based on non-destructive remote sensing and computer vision methods offers an alternative to existing laboratory methods and leads to improved crop management. Vine is an important crop that is mainly affected by fungal diseases. In this study, photos from healthy leaves and leaves infected by a fungal disease of vine are used to create disease identification classifiers. The transfer learning technique was employed in this study and was used to train three different deep convolutional neural network (DCNN) approaches that were compared according to their classification accuracy, namely AlexNet, VGG-19, and Inception v3. The above-mentioned models were trained on the open-source PlantVillage dataset using two training approaches: feature extraction, where the weights of the base deep neural network model were frozen and only the ones on the newly added layers were updated, and fine tuning, where the weights of the base model were also updated during training. Then, the created models were validated on the PlantVillage dataset and retrained using a custom field-grown vine photo dataset. The results showed that the fine-tuning approach showed better validation and testing accuracy, for all DCNNs, compared to the feature extraction approach. As far as the results of DCNNs are concerned, the Inception v3 algorithm outperformed VGG-19 and AlexNet in almost all the cases, demonstrating a validation performance of 100% for the fine-tuned strategy on the PlantVillage dataset and an accuracy of 83.3% for the respective strategy on a custom vine disease use case dataset, while AlexNet achieved 87.5% validation and 66.7% accuracy for the respective scenarios. Regarding VGG-19, the validation performance reached 100%, with an accuracy of 76.7%. Numéro de notice : A2022-768 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.3390/rs14184648 Date de publication en ligne : 17/09/2022 En ligne : https://doi.org/10.3390/rs14184648 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101794
in Remote sensing > vol 14 n° 18 (September-2 2022) . - n° 4648[article]Analysis of the land suitability for paddy fields in Tanzania using a GIS-based analytical hierarchy process / Ahmad Al-Hanbali in Geo-spatial Information Science, vol 25 n° 2 ([01/06/2022])PermalinkPrecise crop classification of hyperspectral images using multi-branch feature fusion and dilation-based MLP / Haibin Wu in Remote sensing, vol 14 n° 11 (June-1 2022)PermalinkSpatial-temporal variation of satellite-based gross primary production estimation in wheat-maize rotation area during 2000–2015 / Wenquan Xie in Geocarto international, vol 37 n° 9 ([15/05/2022])PermalinkAlternative procedure to improve the positioning accuracy of orthomosaic images acquired with Agisoft Metashape and DJI P4 multispectral for crop growth observation / Toshihiro Sakamoto in Photogrammetric Engineering & Remote Sensing, PERS, vol 88 n° 5 (May 2022)PermalinkCrop type identification and spatial mapping using Sentinel-2 satellite data with focus on field-level information / Murali Krishna Gumma in Geocarto international, vol 37 n° 7 ([15/04/2022])PermalinkAssessment of land suitability potentials for winter wheat cultivation by using a multi criteria decision Support-Geographic information system (MCDS-GIS) approach in Al-Yarmouk Basin (Syria) / Safwan Mohammed in Geocarto international, vol 37 n° 6 ([01/04/2022])PermalinkParcel-based summer maize mapping and phenology estimation combined using Sentinel-2 and time series Sentinel-1 data / Yanyan Wang in International journal of applied Earth observation and geoinformation, vol 108 (April 2022)PermalinkProjections of climate change impacts on flowering-veraison water deficits for Riesling and Müller-Thurgau in Germany / Chenyao Yang in Remote sensing, vol 14 n° 6 (March-2 2022)PermalinkComparing methods to extract crop height and estimate crop coefficient from UAV imagery using structure from motion / Nitzan Malachy in Remote sensing, vol 14 n° 4 (February-2 2022)PermalinkIn situ C-band data for wheat physiological functioning monitoring in the South Mediterranean region / Nadia Ouaadi (2022)PermalinkMonitoring and analysis of crop irrigation dynamics in Central Italy through the use of MODIS NDVI data / Marta Chiesi in European journal of remote sensing, vol 55 n° 1 (2022)PermalinkPotentialité de la télédétection thermique pour la modélisation climatique en milieu viticole / Gwenaël Morin (2022)PermalinkCrop rotation modeling for deep learning-based parcel classification from satellite time series / Félix Quinton in Remote sensing, vol 13 n° 22 (November-2 2021)PermalinkField scale wheat LAI retrieval from multispectral Sentinel 2A-MSI and LandSat 8-OLI imagery: effect of atmospheric correction, image resolutions and inversion techniques / Rajkumar Dhakar in Geocarto international, vol 36 n° 18 ([01/10/2021])PermalinkGeoglam, l'agriculture par satellite / Laurent Polidori in Géomètre, n° 2194 (septembre 2021)PermalinkSentinel-1 sensitivity to soil moisture at high incidence angle and the impact on retrieval over seasonal crops / Davide Palmisano in IEEE Transactions on geoscience and remote sensing, Vol 59 n° 9 (September 2021)PermalinkEvaluation of sum-NDVI values to estimate wheat grain yields using multi-temporal Landsat OLI data / Asadollah Mirasi in Geocarto international, vol 36 n° 12 ([01/07/2021])PermalinkLeaf area index estimation of wheat crop using modified water cloud model from the time-series SAR and optical satellite data / Vijay Pratap Yadav in Geocarto international, vol 36 n° 7 ([15/04/2021])PermalinkPotentialité des données satellitaires Sentinel-2 pour la cartographie de l’impact des feux de végétation en Afrique tropicale : application au Togo / Yawo Konko in Bois et forêts des tropiques, n° 347 ([02/04/2021])PermalinkA CNN approach to simultaneously count plants and detect plantation-rows from UAV imagery / Lucas Prado Osco in ISPRS Journal of photogrammetry and remote sensing, vol 174 (April 2021)PermalinkGIS-based multi-criteria analysis of the suitability of western Siberian forest-steppe lands / V.K. Kalichkin in Annals of GIS, vol 27 n° 2 (April 2021)PermalinkApport des images Landsat à l’étude de l’évolution de l’occupation du sol dans la plaine de Saïss au Maroc, pour la période 1987-2018 / Abdelkader El Garouani in Revue Française de Photogrammétrie et de Télédétection, n° 223 (mars - décembre 2021)PermalinkApport des données satellitaires Sentinel-1 et Sentinel-2 pour la détection des surfaces irriguées et l'estimation des besoins et des consommations en eau des cultures d'été dans les zones tempérées / Yann Pageot (2021)PermalinkApport de la télédétection pour la simulation spatialisée des composantes du bilan carbone des cultures et des effets d'atténuation biogéochimiques et biogéophysiques des cultures intermédiaires / Gaétan Pique (2021)PermalinkPermalinkPermalinkDiurnal cycles of C-band temporal coherence and backscattering coefficient over a wheat field in a semi-arid area / Nadia Ouaadi (2021)PermalinkÉvaluation de l'évapotranspiration des zones irriguées en piémont du Haut Atlas, Maroc / Jamal Elfarkh (2021)PermalinkEvaluation of Sentinel-1 & 2 time series for the identification and characterization of ecological continuities, from wooded to crop-dominated landscapes / Audrey Mercier (2021)PermalinkLes impacts spatiaux du changement climatique / Denis Mercier (2021)PermalinkIs Xylella fastidiosa a serious threat to European forests? / Marie-Laure Desprez-Loustau in Forestry, an international journal of forest research, vol 94 n° 1 (January 2021)PermalinkSuivi de la rotation des cultures à partir de séries temporelles d’images satellite / Félix Quinton (2021)PermalinkPermalinkSuivi des vignes par télédétection de proximité : le deep learning au service de l’agriculture de précision / Sami Beniaouf (2021)PermalinkThe challenge of robust trait estimates with deep learning on high resolution RGB images / Etienne David (2021)PermalinkMonitoring of wheat crops using the backscattering coefficient and the interferometric coherence derived from Sentinel-1 in semi-arid areas / Nadia Ouaadi in Remote sensing of environment, Vol 251 (15 December 2020)PermalinkQuantification of cotton water consumption by remote sensing / Jefferson Vieira José in Geocarto international, vol 35 n° 16 ([01/12/2020])PermalinkAdaptation de l'irrigation au changement climatique dans l'Union européenne : les actions engagées par les États membres pour économiser l'eau / Claire Serra-Wittling in Sciences, eaux & territoires, n° 34 (novembre 2020)PermalinkAn integration of bioclimatic, soil, and topographic indicators for viticulture suitability using multi-criteria evaluation: a case study in the Western slopes of Jabal Al Arab—Syria / Karam Alsafadi in Geocarto international, vol 35 n° 13 ([01/10/2020])PermalinkComparative analysis of index and chemometric techniques-based assessment of leaf area index (LAI) in wheat through field spectroradiometer, Landsat-8, Sentinel-2 and Hyperion bands / Bappa Das in Geocarto international, vol 35 n° 13 ([01/10/2020])PermalinkAnalysis of chlorophyll concentration in potato crop by coupling continuous wavelet transform and spectral variable optimization / Ning Liu in Remote sensing, vol 12 n° 17 (September-1 2020)PermalinkCounting of grapevine berries in images via semantic segmentation using convolutional neural networks / Laura Zabawa in ISPRS Journal of photogrammetry and remote sensing, vol 164 (June 2020)PermalinkDiscriminant analysis for lodging severity classification in wheat using RADARSAT-2 and Sentinel-1 data / Sugandh Chauhan in ISPRS Journal of photogrammetry and remote sensing, vol 164 (June 2020)PermalinkWheat leaf area index retrieval using RISAT-1 hybrid polarized SAR data / Thota Sivasankar in Geocarto international, Vol 35 n° 8 ([01/06/2020])PermalinkAbove-ground biomass estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imaging / Bo Li in ISPRS Journal of photogrammetry and remote sensing, vol 162 (April 2020)PermalinkConterminous United States land cover change patterns 2001–2016 from the 2016 National Land Cover Database / Collin Homer in ISPRS Journal of photogrammetry and remote sensing, vol 162 (April 2020)PermalinkRadar Vegetation Index for assessing cotton crop condition using RISAT-1 data / Dipanwita Haldar in Geocarto international, vol 35 n° 4 ([15/03/2020])PermalinkEstimating wheat yields in Australia using climate records, satellite image time series and machine learning methods / Elisa Kamir in ISPRS Journal of photogrammetry and remote sensing, vol 160 (February 2020)PermalinkOptimising drone flight planning for measuring horticultural tree crop structure / Yu-Hsuan Tu in ISPRS Journal of photogrammetry and remote sensing, vol 160 (February 2020)PermalinkC band radar crops monitoring at high temporal frequency: first results of the MOCTAR campaign / Pierre-Louis Frison (2020)PermalinkSurface soil moiture retrieval over irrigated wheat crops in semi-arid areas using Sentinel-1 data / Nadia Ouaadi (2020)PermalinkWater stress detection over irrigated wheat crops in semi-arid areas using the diurnal differences of Sentinel-1 backscatter / Nadia Ouaadi (2020)PermalinkCalculating potential evapotranspiration and single crop coefficient based on energy balance equation using Landsat 8 and Sentinel-2 / Ali Mokhtari in ISPRS Journal of photogrammetry and remote sensing, vol 154 (August 2019)PermalinkFeasibility study of vegetation indices derived from Sentinel-2 and PlanetScope satellite images for validating the LAI biophysical parameter to monitoring development stages of winter wheat / Radoslaw Gurdak in Geoinformation issues, Vol 10 n°1 (2018)PermalinkStem-leaf segmentation and phenotypic trait extraction of individual maize using terrestrial LiDAR data / Shichao Jin in IEEE Transactions on geoscience and remote sensing, vol 57 n° 3 (March 2019)PermalinkPermalinkPotentialités de l’imagerie couleur embarquée pour la détection et la cartographie des maladies fongiques de la vigne / Florent Abdelghafour (2019)PermalinkTime-space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series / Vivien Sainte Fare Garnot (2019)PermalinkEstimation of winter wheat crop growth parameters using time series Sentinel-1A SAR data / P. Kumar in Geocarto international, vol 33 n° 9 (September 2018)PermalinkExtracting leaf area index using viewing geometry effects : A new perspective on high-resolution unmanned aerial system photography / Lukas Roth in ISPRS Journal of photogrammetry and remote sensing, vol 141 (July 2018)PermalinkClose-range hyperspectral image analysis for the early detection of stress responses in individual plants in a high-throughput phenotyping platform / Mohd Shahrimie Mohd Asaari in ISPRS Journal of photogrammetry and remote sensing, vol 138 (April 2018)PermalinkPermalinkPermalinkSentinel-2 data analysis and comparison with UAV multispectral images for precision viticulture / Frederica Nonni in GI Forum, vol 2018 n° 1 ([01/01/2018])PermalinkSuivi des cultures dans le périmètre du Loukkos-Maroc : Apport de la télédétection radar et optique / Siham Acharki (2018)PermalinkUnderstanding the temporal behavior of crops using Sentinel-1 and Sentinel-2-like data for agricultural applications / Amanda Veloso in Remote sensing of environment, vol 199 (15 September 2017)PermalinkDeveloping detailed age-specific thematic maps for coffee (Coffea arabica L.) in heterogeneous agricultural landscapes using random forests applied on Landsat 8 multispectral sensor / Abel Chemura in Geocarto international, vol 32 n° 7 (July 2017)PermalinkWREP : A wavelet-based technique for extracting the red edge position from reflectance spectra for estimating leaf and canopy chlorophyll contents of cereal crops / Dong Li in ISPRS Journal of photogrammetry and remote sensing, vol 129 (July 2017)PermalinkViCTOr : paysage virtuel pour explorer les dynamiques de la VIticulture et de la Consommation en TouRaine / Etienne Delay in Cybergeo, European journal of geography, n° 2017 ([01/06/2017])PermalinkAgricultural cropland mapping using black-and-white aerial photography, Object-Based Image Analysis and Random Forests / M.F.A. Vogels in International journal of applied Earth observation and geoinformation, vol 54 (February 2017)PermalinkTélédétection pour l'observation des surfaces continentales, Volume 3. Observation des surfaces continentales par télédétection 1 / Nicolas Baghdadi (2017)PermalinkCartographie de la dynamique de terroirs villageois à l’aide d’un drone dans les aires protégées de la République démocratique du Congo / Jean Semeki Ngabinzeke in Bois et forêts des tropiques, n° 330 (4e trimestre 2016)PermalinkDisaggregation of remotely sensed soil moisture in heterogeneous landscapes using holistic structure-based models / Subit Chakrabarti in IEEE Transactions on geoscience and remote sensing, vol 54 n° 8 (August 2016)PermalinkSoil moisture retrieval in agricultural fields using adaptive model-based polarimetric decomposition of SAR data / Lian He in IEEE Transactions on geoscience and remote sensing, vol 54 n° 8 (August 2016)PermalinkQuantifying the completeness of and correspondence between two historical maps: a case study from nineteenth-century Palestine / Gad Schaffer in Cartography and Geographic Information Science, Vol 43 n° 2 (April - May 2016)PermalinkTemporal MODIS data for identification of wheat crop using noise clustering soft classification approach / Priyadarshi Upadhyay in Geocarto international, vol 31 n° 3 - 4 (March - April 2016)PermalinkAutomatisation des processus de création d’atlas dynamique et interactif développé pour internet / Victoire Marlet (2016)PermalinkEffects of water and heat on growth of winter wheat in the North China Plain / Hongyan Wang in Geocarto international, vol 31 n° 1 - 2 (January - February 2016)PermalinkPermalinkPlus de 50 ans de productions agricoles franciliennes : une terre de grandes cultures aux portes de Paris / Sylvie Bernadet (2016)PermalinkPointwise approach for texture analysis and characterization from very high resolution remote sensing images / Minh-Tan Pham (2016)PermalinkAutomated annual cropland mapping using knowledge-based temporal features / François Waldner in ISPRS Journal of photogrammetry and remote sensing, vol 110 (December 2015)PermalinkCombining leaf physiology, hyperspectral imaging and partial least squares-regression (PLS-R) for grapevine water status assessment / Tal Rapaport in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)PermalinkTélédétection pour l'agriculture de précision par caméra hyperspectrale miniature / D. Constantin in Géomatique suisse, vol 113 n° 9 (septembre 2015)PermalinkImpact of diurnal variation in vegetation water content on radar backscatter from maize during water stress / Tim Van Emmerik in IEEE Transactions on geoscience and remote sensing, vol 53 n° 7 (July 2015)PermalinkCirconscrire les gisements de biomasse-énergie pour protéger l'alimentation et la biodiversité : le défi intenable / Yves Poinsot in VertigO, vol 15 n° 1 (mai 2015)PermalinkFully polarimetric synthetic aperture radar (SAR) processing for crop type identification / Gang Hong in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 2 (February 2015)PermalinkUsing geographically weighted regression kriging for crop yield mapping in West Africa / Muhammad Imran in International journal of geographical information science IJGIS, vol 29 n° 2 (February 2015)PermalinkEstimating leaf chlorophyll of barley at different growth stages using spectral indices to reduce soil background and canopy structure effects / Kiyun Yu in ISPRS Journal of photogrammetry and remote sensing, vol 97 (November 2014)PermalinkModélisation spatiale des températures dans le vignoble des coteaux du Layon / Cyril Bonnefoy in Revue internationale de géomatique, vol 24 n° 3 (septembre - novembre 2014)PermalinkDetecting winter wheat phenology with SPOT-VEGETATION data in the North China Plain / Linlin Lu in Geocarto international, vol 29 n° 3 - 4 (June - July 2014)PermalinkPermalinkParcel-level identification of crop types using different classification algorithms and multi-resolution imagery in southeastern Turkey / Ugur Alganci in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 11 (November 2013)PermalinkParcellaire viticole : un patrimoine façonné par l'histoire / Marielle Mayo in Géomètre, n° 2108 (novembre 2013)PermalinkPrévisibilité du cycle du blé : Mobilisation par approche globale et assimilation de données / Sylvain Mangiarotti in Revue Française de Photogrammétrie et de Télédétection, n° 204 (Octobre 2013)PermalinkRéflexions sur l'accessibilité aux châtaigniers et ses conséquences dans la haute vallée de la Tinée (parc national du Mercantour) / Mohamed Ben Jeddou in Géomatique expert, n° 94 (01/09/2013)PermalinkMise en place d'un SIG pour inventorier les dégâts sur les murs en pierres sèches des vignobles de Martigny et Martigny-Combe / Nicolas Szakacs in Géomatique suisse, vol 111 n° 4 (01/04/2013)PermalinkUsing thermal time and pixel purity for enhancing biophysical variable time series: An interproduct comparison / Grégory Duveiller in IEEE Transactions on geoscience and remote sensing, vol 51 n° 4 Tome 1 (April 2013)PermalinkCrop yield estimation based on unsupervised linear unmixing of multidate hyperspectral imagery / B. Luo in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 1 (January 2013)PermalinkDétection et identification de zones de végétation arborée et viticole : utilisation d’images satellite RapidEye et de données BDOrtho / Arnaud Le Bris (2013)PermalinkCartographie web : comment construire le lien entre territoire et consommateur ? / Etienne Delay in Cartes & Géomatique, n° 213 (septembre 2012)PermalinkModélisations géométriques plurielles d'un espace agricole en évolution : application à la palmeraie de l'oasis de Figuig (Maroc) / G. Janty in Revue internationale de géomatique, vol 22 n° 3 (septembre - novembre 2012)PermalinkDetermining irrigated areas and quantifying blue water use in europe using remote sensing Meteosat Second Generation (MSG) products and Global Land Data Assimilation System (GLDAS) data / Mireia Romaguera in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 8 (August 2012)PermalinkEstimating irrigated agricultural water use through Landsat TM and a simplified surface energy balance modeling in the semi-arid environments of Arizona / S. Kaplan in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 8 (August 2012)PermalinkMapping crop types, irrigated areas, and cropping intensities in heterogeneous landscapes of southern India using multi-temporal medium-resolution imagery: implications for assessing water use in agriculture / E. Heller in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 8 (August 2012)PermalinkPhenology-based crop classification algorithm and its implications on agricultural water use assessments in California's central valley / L. Zhong in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 8 (August 2012)PermalinkExtraction of vineyards out of aerial photo-image using texture information / Arnaud Le Bris in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol I-3 (2012)PermalinkMonitoring water stress and fruit quality in an orange orchard under regulated deficit irrigation using narrow-band structural and physiological remote sensing indices / S. Stagakis in ISPRS Journal of photogrammetry and remote sensing, vol 71 (July 2012)PermalinkRobust hyperspectral vision-based classification for multi-season weed mapping / Y. Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 69 (April 2012)PermalinkA comparison of fuzzy AHP and ideal point methods for evaluating land suitability / M. Elaalem in Transactions in GIS, vol 15 n° 3 (July 2011)PermalinkVinogéo : oenologie et webmapping / Anonyme in Géomatique expert, n° 80 (01/05/2011)PermalinkAtlas of INSPIRE - evaluating SDI development through an inventory of INSPIRE experiences of European national mapping agencies / Wim de Vries in International Journal of Spatial Data Infrastructures Research, vol 6 (Year 2011)PermalinkEffect of corn on C-an L-band radar backscatter: a correction method for soil moisture retrieval / A. Joseph in Remote sensing of environment, vol 114 n° 11 (15/11/2010)PermalinkApport des images satellitaires à l'étude de la dynamique de l'occupation du sol de bassins versants côtiers : exemple de l'Agneby, de la Me et du Boubo (Côte d'Ivoire) / Z. Kouadio in Photo interprétation, European journal of applied remote sensing, vol 46 n° 2 (juin 2010)PermalinkLes Vilmorin, une passion en héritage / Marie-Françoise Valéry in Vieilles maisons françaises, n° 232 (mai 2010)PermalinkTraitement des données de télédétection / Michel-Claude Girard (2010)PermalinkAn agent-based approach to simulating the dynamics of shifting cultivation in an upland village in Vietnam / T.A. Ngo in Revue internationale de géomatique, vol 19 n° 4 (décembre 2009 – février 2010)PermalinkInfluence of resolution in irrigated area mapping and area estimations / N. Velpuri in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 12 (December 2009)PermalinkDiscrimination of agricultural crops in a tropical semi-arid region of Brazil based on L-band polarimetric airborne SAR data / W. Silva in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 5 (September - October 2009)PermalinkMutualisation autour d'une BD d'occupation du sol pour le suivi du territoire du PNR [parc naturel régional] de la Narbonnaise / Henri Durand in Géomatique expert, n° 64 (01/09/2008)PermalinkReconstruire l'histoire du génome des céréales / Pascale Mollier in INRA magazine, n° 5 (juin 2008)PermalinkThe early explanatory power of NDVI in crop yield modelling / L. Wall in International Journal of Remote Sensing IJRS, vol 29 n° 7 (April 2008)PermalinkComplémentarité des données de télédétection pour l'analyse des transformations de l'occupation du sol dans des zones humides urbaines : application aux hortillonnages d'Amiens et aux chinampas de Mexico / C. Clauzel in Photo interprétation, vol 44 n° 1 (Mars 2008)PermalinkDetection of nickel-induced stress using laser-induced fluorescence signatures from leaves of wheat seedlings / K.B. Mishra in International Journal of Remote Sensing IJRS, vol 29 n°1-2 (January 2008)PermalinkApplications of photogrammetric processing using an autonomous model helicopter / Henri Eisenbeiss in Revue Française de Photogrammétrie et de Télédétection, n° 185 (Mars 2007)PermalinkÉvolution récente des terroirs viticoles dans la région do Entre Douro e Minho (nord du Portugal) / H. Quenol in Revue internationale de géomatique, vol 17 n° 1 (mars – mai 2007)PermalinkEvaluating temporal variability in the spectral reflectance response of annual ryegrass to changes in nitrogen applications and leaching fractions / M. Baghzouz in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)PermalinkAgent-based modelling of shifting cultivation field patterns, Vietnam / M.R. Jepsen in International journal of geographical information science IJGIS, vol 20 n° 9 (october 2006)PermalinkPerformance of change detection using remotely sensed data and evidential fusion: comparison of three cases of application / Sylvie Le Hégarat-Mascle in International Journal of Remote Sensing IJRS, vol 27 n°15-16 (August 2006)PermalinkResolution dependent errors in remote sensing of cultivated areas / M. Ozdogan in Remote sensing of environment, vol 103 n° 2 (30/07/2006)PermalinkSoil moisture mapping and AMSR-E validation using the PSR in SMEX02 / R. Bindlish in Remote sensing of environment, vol 103 n° 2 (30/07/2006)PermalinkPrincipal component analysis of aerial video imagery / W.J. Kramber (29/03/2006)PermalinkEarly prediction of crop production using drought indices at different time-scales and remote sensing data: application in the Ebro Valley (north-east Spain) / S.M. Vicente-Serrano in International Journal of Remote Sensing IJRS, vol 27 n°1-2 (January 2006)PermalinkElaboration d'un plan d'occupation des sols dans un secteur du Tigray (Ethiopie) / Muriel Nouguier (2006)PermalinkUne gestion satellitale des vignobles / M. Mayo in Géomètre, n° 2021 (décembre 2005)PermalinkTowards a potential research agenda to guide the implementation of spatial data infrastructures: a case study from India / Yola Georgiadou in International journal of geographical information science IJGIS, vol 19 n° 10 (november 2005)PermalinkLAI retrieval from multiangular image classification and inversion of a ray tracing model / R. Casa in Remote sensing of environment, vol 98 n° 4 (30/10/2005)PermalinkUpdating land cover classification using a rule-based decision system / Damien Raclot in International Journal of Remote Sensing IJRS, vol 26 n° 7 (April 2005)PermalinkAnalysis of land use drivers at the watershed and household level: Linking two paradigms at the Philippine forest fringe / K.P. Overmars in International journal of geographical information science IJGIS, vol 19 n° 2 (february 2005)PermalinkAgriculture classification using PolSAR data / H. Skriver (2005)PermalinkMise en place d'un réseau français d'arboretums pour une valorisation coordonnée des ressources ligneuses ex situ / Stéphanie Brachet (2005)PermalinkProjet IGLOO / F. Chauve (2005)PermalinkA texture orientation estimator for discriminating between forests, orchards, vineyards, and tilled fields / Roger Trias-Sanz (2005)PermalinkThe development of superspectral approaches for the improvement of land cover classification / M. Gianinetto in IEEE Transactions on geoscience and remote sensing, vol 42 n° 11 (November 2004)PermalinkLand cover-based optimal deconvolution of PALS L-band microwave brightness temperatures / A.S. Limaye in Remote sensing of environment, vol 92 n° 4 (30 September 2004)PermalinkRetrieval of soil moisture from passive and active L/S band sensor (PALS) observations during the soil moisture experiment in 2002 (SMEX) / U. Narayan in Remote sensing of environment, vol 92 n° 4 (30 September 2004)PermalinkSpatial variability in classification accuracy of agricultural crops in the Dutch national land-cover database / A.J.W. Van Oort in International journal of geographical information science IJGIS, vol 18 n° 6 (october 2004)PermalinkUse of hyperspectral derivative ratios in the red-edge region to identify plant stress responses to gas leaks / K.L. Smith in Remote sensing of environment, vol 92 n° 2 (15/08/2004)PermalinkPotential of using NOAA-AVHRR data for estimating irrigated area to help solve an inter-state water dispute / V.K. Boken in International Journal of Remote Sensing IJRS, vol 25 n° 12 (June 2004)PermalinkHyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: modelling and validation in the context of precision agriculture / D. Haboudane in Remote sensing of environment, vol 90 n° 3 (15/04/2004)PermalinkAirborne measurement of hot spot reflectance signatures / F. Camacho-De Coca in Remote sensing of environment, vol 90 n° 1 (15/03/2004)PermalinkDynamique de la déforestation et agriculture pionnière dans le sud-ouest de Madagascar : exploitation diachronique de l'imagerie satellitale haute résolution / F. Lasry in Photo interprétation, vol 40 n° 1 (Mars 2004)PermalinkInvestigation into small-format camera sensors for level development of USDA GIS of crop compliance / S.D. Lyle in Surveying and land information science, vol 64 n° 1 (01/03/2004)PermalinkIntegration of linear programming and a watershed-scale hydrologic model for proposing an optimized land-use and assessing its impact on soil conservation: a case study of the Nagwan watershed in the Hazaribagh district of Jharkhand, India / R. Kaur in International journal of geographical information science IJGIS, vol 18 n° 1 (january - february 2004)PermalinkWithin-field wheat yield prediction from Ikonos data: a new matrix approach / E.A. Enclona in International Journal of Remote Sensing IJRS, vol 25 n° 2 (January 2004)PermalinkHyperspectral monitoring of physiological parameters of wheat during a vegetation period using AVIS data / N. Oppelt in International Journal of Remote Sensing IJRS, vol 25 n° 1 (January 2004)PermalinkThe EuroSTARRS airborne campaign in support of the SMOS mission: first results over land surfaces / K. Saleh in International Journal of Remote Sensing IJRS, vol 25 n° 1 (January 2004)PermalinkCartographie des rizières d'une zone des hautes terres centrales de Madagascar pour la détermination des zones à risque du paludisme / F. Thomas (2004)PermalinkTraitement des données de télédétection / Michel-Claude Girard (2004)PermalinkClassification of wheat crop with multi-temporal images: performance of maximum likelihood and artificial neural networks / C.S. Murthy in International Journal of Remote Sensing IJRS, vol 24 n° 23 (December 2003)PermalinkTraining a neural network with a canopy reflectance model to estimate crop leaf area index / F. Mark Danson in International Journal of Remote Sensing IJRS, vol 24 n° 23 (December 2003)PermalinkUsefulness of spectral reflectance indices as durum wheat yield predictors under contrasting Mediterranean conditions / C. Royo in International Journal of Remote Sensing IJRS, vol 24 n° 22 (November 2003)PermalinkImprovements in land use mapping for irrigated agriculture from satellite sensor data using a multi-stage maximum likelihood classification / I.A. El-Magd in International Journal of Remote Sensing IJRS, vol 24 n° 21 (November 2003)PermalinkTowards an operational system for regional-scale rice yield estimation using a time-series of Radarsat ScanSAR images / Y. Li in International Journal of Remote Sensing IJRS, vol 24 n° 21 (November 2003)PermalinkVegetation canopy anisotropy at 1.4 GHz / B.K. Hornbuckle in IEEE Transactions on geoscience and remote sensing, vol 41 n° 10 (October 2003)PermalinkCrop yield assessment from remote sensing / P.C. Doraiswamy in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 6 (June 2003)PermalinkRemote sensing for crop management / P.J. Pinter in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 6 (June 2003)PermalinkComparison of Earth observing-1 ALI and Landsat ETM+ for crop identification and yield prediction in Mexico / D.B. Lobell in IEEE Transactions on geoscience and remote sensing, vol 41 n° 6 (June 2003)PermalinkLes SIG au secours de l'ONIC / Anonyme in Géomatique expert, n° 23 (01/02/2003)PermalinkEvaluation de la sensibilité à l'érosion des zones viticoles : influence des pratiques culturales (exemple du Fronsadais) / V. Herbreteau (2003)PermalinkMaking the trade-off between decision quality and information cost / S. De Bruin in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 1 (January 2003)PermalinkSchätzung von Vegetationsparametern aus multispektralen Fernerkundungsdaten / F. Kurz (2003)PermalinkSegmentation temporelle et spatiale de données agricoles / J.F. Mari in Revue internationale de géomatique, vol 12 n° 4 (décembre 2002 – février 2003)PermalinkComparative evaluation of Indian remote sensing multi-spectral sensors data for crop classification / R.P. Singh in Geocarto international, vol 17 n° 2 (June - August 2002)PermalinkEvaluation of narrowband and broadband vegetation indices for determining optimal hyperspectral wavebands for agricultural crop characterization / Prasad S. Thenkabail in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 6 (June 2002)PermalinkApprofondissement des techniques de diagnostique des propriétés spectrales d'une culture / Laure Chandelier (2002)PermalinkApport et limites de la cartographie statistique dans une démarche de développement territorial, la place de l'agriculture dans les espaces ruraux / P. Triboulet in Revue internationale de géomatique, vol 11 n° 2 (juin - aout 2001)PermalinkLes systèmes d'information géographique au service de la gestion et la planification de l'irrigation / Abdelkader Mendas in Géomatique expert, n° 11 (01/02/2001)PermalinkEtude test sur l'estimation des superficies agricoles à partir d'images Landsat / Olivier Laporte (2001)PermalinkNatural disaster monitoring by remote sensing in Hungary: waterlogging and floods in the 1998-2001 period / M. Lelkes (2001)PermalinkRemote sensing applications for sustainable watershed management and food security / G. Rochon (2001)PermalinkL'Arboretum national des Barres / Dominique Piou in Forêts de France, n° 436 (septembre 2000)PermalinkLa concentration à l'origine d'un bon remembrement / H. Alvares Correa in Géomètre, vol 2000 n° 7 (juillet 2000)PermalinkEtude de faisabilité pour l'élaboration d'une cartographie statistique d'inventaire des vergers café et cacao en Côte d'ivoire par télédétection satellitale / C. N'doume in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 157 (Janvier 2000)PermalinkRevue des applications de la télédétection à la gestion des ressources en eau pour la production d'eau potable / X. Girard (2000)PermalinkDrought monitoring based on thermal and microwave satellite data / Katarzyna Dabrowska-Zielinska (31/05/1999)PermalinkA casebook for spatial statistical data analysis / Daniel A. Griffith (1999)PermalinkPermalinkWhat's good for the grower : assessing goose damage to northwest crops / D.E. Johnson in GPS world, vol 9 n° 3 (March 1998)PermalinkAn early crop yield estimation method for Finnish conditions / Risto Kuittinen (1998)PermalinkPacOise, un SIG expérimental de contrôle des exploitations agricoles : l'Oise expérimente une procédure contrôlant les déclarations de mise en jachère / M.P. Olphand in Géomètre, vol 1998 n° 1 (janvier 1998)PermalinkProceedings of the first international conference [of] Geospatial information in agriculture and forestry: Decision support, technology and applications, Lake Buena Vista, Florida, 1-3 June 1998, 1. Tome 1 / ERIM international (1998)PermalinkProceedings of the first international conference [of] Geospatial information in agriculture and forestry: Decision support, technology and applications, Lake Buena Vista, Florida, 1-3 June 1998, 2. Tome 2 / ERIM international (1998)PermalinkSAR images and ancillary data in crop species interpretation / Leena Matikainen (1998)PermalinkTerre de Tunisie / A. Kammoun (1998)Permalink