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Near-real time forecasting and change detection for an open ecosystem with complex natural dynamics / Jasper A. Slingsby in ISPRS Journal of photogrammetry and remote sensing, vol 166 (August 2020)
Titre : Near-real time forecasting and change detection for an open ecosystem with complex natural dynamics Type de document : Article/Communication Auteurs : Jasper A. Slingsby, Auteur ; Glenn R. Moncrieff, Auteur ; Adam M. Wilson, Auteur Année de publication : 2020 Article en page(s) : pp 15 - 25 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes descripteurs IGN] approche hiérarchique
[Termes descripteurs IGN] biodiversité
[Termes descripteurs IGN] classification bayesienne
[Termes descripteurs IGN] détection de changement
[Termes descripteurs IGN] écosystème
[Termes descripteurs IGN] incendie
[Termes descripteurs IGN] internet interactif
[Termes descripteurs IGN] Le Cap
[Termes descripteurs IGN] milieu naturel
[Termes descripteurs IGN] modèle dynamique
[Termes descripteurs IGN] Normalized Difference Vegetation Index
[Termes descripteurs IGN] surveillance de la végétation
[Termes descripteurs IGN] surveillance écologiqueRésumé : (auteur) Managing fire, water, biodiversity and carbon stocks can greatly benefit from early warning of changes in the state of vegetation. While near-real time tools to detect forest change based on satellite remote sensing exist, these ecosystems have relatively stable natural vegetation dynamics. Open (i.e. non-forest) ecosystems like grasslands, savannas and shrublands are more challenging as they show complex natural dynamics due to factors such as fire, postfire recovery, greater contribution of bare soil to observed vegetation indices, as well as high sensitivity to rainfall and strong seasonality. Tools to aid the management of open ecosystems are desperately required as they dominate much of the globe and harbour substantial biodiversity and carbon. We present an innovative approach that overcomes the difficulties posed by open ecosystems by using a spatio-temporal hierarchical Bayesian model that uses data on climate, topography, soils and fire history to generate ecological forecasts of the expected land surface signal under natural conditions. This allows us to monitor and detect abrupt or gradual changes in the state of an ecosystem in near-real time by identifying areas where the observed vegetation signal has deviated from the expected natural variation. We apply our approach to a case study from the hyperdiverse fire-dependent African shrubland, the fynbos of the Cape Floristic Region, a Global Biodiversity Hotspot and UNESCO World Heritage Site that faces a number of threats to vegetation health and ecosystem function. The case study demonstrates that our approach is useful for identifying a range of change agents such as fire, alien plant species invasions, drought, pathogen outbreaks and clearing of vegetation. We describe and provide our full workflow, including an interactive web application. Our approach is highly versatile, allowing us to collect data on the impacts of change agents for research in ecology and earth system science, and to predict aspects of ecosystem structure and function such as biomass, fire return interval and the influence of vegetation on hydrology Numéro de notice : A2020-349 Thématique : BIODIVERSITE/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2020.05.017 date de publication en ligne : 05/06/2020 En ligne : https://doi.org/10.1016/j.isprsjprs.2020.05.017 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95231
in ISPRS Journal of photogrammetry and remote sensing > vol 166 (August 2020) . - pp 15 - 25[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2020081 SL Revue Centre de documentation Revues en salle Disponible 081-2020083 DEP-RECP Revue MATIS Dépôt en unité Exclu du prêt 081-2020082 DEP-RECF Revue Nancy Dépôt en unité Exclu du prêt
Titre : Complete and accurate data correction for seamless mosaicking of airborne hyperspectral images: A case study at a mining site in Inner Mongolia, China Type de document : Article/Communication Auteurs : Kun Tan, Auteur ; Chao Niu, Auteur ; Xiuping Jia, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 1 - 15 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes descripteurs IGN] atténuation
[Termes descripteurs IGN] correction atmosphérique
[Termes descripteurs IGN] distorsion du signal
[Termes descripteurs IGN] distribution du coefficient de réflexion bidirectionnelle BRDF
[Termes descripteurs IGN] image hyperspectrale
[Termes descripteurs IGN] mine
[Termes descripteurs IGN] Mongolie intérieure (Chine)
[Termes descripteurs IGN] mosaïquage d'images
[Termes descripteurs IGN] radiance
[Termes descripteurs IGN] rayonnement infrarouge
[Termes descripteurs IGN] réflectance de surface
[Termes descripteurs IGN] Short Waves InfraRed
[Termes descripteurs IGN] spectroradiométrie
[Termes descripteurs IGN] surveillance écologiqueRésumé : (auteur) Airborne hyperspectral remote sensing is an important application in the ecological monitoring of the environment in mining areas, and accurate preprocessing of the original images is the key to quantitative information retrieval. The original image data need radiation correction to acquire surface reflectance data. Due to the impact of the field angle, incidental radiance, and the bidirectional reflectance distribution function (BRDF), there can be a brightness gradient between adjacent strips, which leads to radiance difference and obvious chromatic aberration of the mosaicked images. We propose a novel data correction method for seamless mosaicking of airborne hyperspectral images. Firstly, visible and near-infrared (VNIR) and shortwave infrared (SWIR) sensors are calibrated in the laboratory, and the radiation calibration model of the sensor is established by an integrating-sphere system. A correction function is then established by combining the BRDF effect and the radiation attenuation coefficients. We also normalize the exposure time, sun altitude angle, and sensor altitude angle according to the flight strip. The results showed that this method is able to eliminate the signal distortion, allowing the seamless mosaicking of 37 strip images which were taken in different date and conditions in the study area. After the atmospheric correction of the imagery was completed, the accuracy of the preprocessing results was evaluated by field-measured ASD spectroradiometer data. The coefficient of determination R2 of the results for the reflectance was greater than 0.9. The experiments show that the proposed method has a good performance in radiation accuracy, and can provide high-quality hyperspectral data for the follow-up application of the ecological monitoring of a mining area. Numéro de notice : A2020-465 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2020.04.022 date de publication en ligne : 16/05/2020 En ligne : https://doi.org/10.1016/j.isprsjprs.2020.04.022 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95092
in ISPRS Journal of photogrammetry and remote sensing > vol 165 (July 2020) . - pp 1 - 15[article]Réservation
Réserver ce documentExemplaires (3)
Code-barres Cote Support Localisation Section Disponibilité 081-2020071 SL Revue Centre de documentation Revues en salle Disponible 081-2020073 DEP-RECP Revue MATIS Dépôt en unité Exclu du prêt 081-2020072 DEP-RECF Revue Nancy Dépôt en unité Exclu du prêt
Titre : Remote sensing for target object detection and identification Type de document : Monographie Auteurs : Gemine Vivone, Editeur scientifique ; Paolo Addesso, Editeur scientifique ; Amanda Ziemann, Editeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2020 Importance : 336 p. Format : 17 x 25 cm ISBN/ISSN/EAN : 978-3-03928-333-0 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes descripteurs IGN] détection d'objet
[Termes descripteurs IGN] détection de cible
[Termes descripteurs IGN] image de drone
[Termes descripteurs IGN] image hyperspectrale
[Termes descripteurs IGN] image radar moirée
[Termes descripteurs IGN] surveillance de l'urbanisation
[Termes descripteurs IGN] surveillance écologiqueRésumé : (éditeur) Target object detection and identification are among the primary uses for a remote sensing system. This is crucial in several fields, including environmental and urban monitoring, hazard and disaster management, and defense and military. In recent years, these analyses have used the tremendous amount of data acquired by sensors mounted on satellite, airborne, and unmanned aerial vehicle (UAV) platforms. This book promotes papers exploiting different remote sensing data for target object detection and identification, such as synthetic aperture radar (SAR) imaging and multispectral and hyperspectral imaging. Several cutting-edge contributions, which provide examples of how to select of a technology or another depending on the specific application, will be detailed. Note de contenu : Editorial
1- Pixel tracking to estimate rivers water flow elevation using Cosmo-SkyMed synthetic aperture radar data
2- Flood distance algorithms and fault hidden danger recognition for transmission line towers based on SAR Images
3- Geospatial object detection on high resolution remote sensing imagery based on double multi-scale feature pyramid network
4- A novel multi-model decision fusion network for object detection in remote sensing images
5- Local region proposing for frame-based vehicle detection in satellite videos
6- Efficient object detection framework and hardware architecture for remote sensing images
7- Unsupervised saliency model with color Markov chain for oil tank detection
8- Affine-function transformation-based object matching for vehicle detection from unmanned aerial vehicle imagery
9- Hyperspectral anomaly detection via dictionary construction-based low-rank representation and adaptive weighting
10- Infrared small target detection based on non-convex optimization with Lp-Norm constraint
11- Infrared small target detection based on partial sum of the tensor nuclear norm
12- Infrared small-faint target detection using non-i.i.d. mixture of Gaussians and flux density
13- Mask sparse representation based on semantic features for thermal infrared target tracking
14- Infrared optical observability of an earth entry orbital test vehicle using ground-based remote sensorsNuméro de notice : 25885 Thématique : IMAGERIE Nature : Monographie DOI : 10.3390/books978-3-03928-333-0 En ligne : https://doi.org/10.3390/books978-3-03928-333-0 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95781
Titre : Caractériser et suivre qualitativement et quantitativement les haies et le bocage en France Type de document : Article/Communication Auteurs : Sophie Morin, Auteur ; Loïc Commagnac Année de publication : 2019 Projets : 1-Pas de projet / Article en page(s) : pp 16 - 21 Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Ecologie
[Termes descripteurs IGN] base de données IGN
[Termes descripteurs IGN] BD Topo
[Termes descripteurs IGN] bocage
[Termes descripteurs IGN] haie
[Termes descripteurs IGN] Registre parcellaire graphique
[Termes descripteurs IGN] service écosystémique
[Termes descripteurs IGN] surveillance écologiqueRésumé : (auteur) Patrimoine historique et culturel, les bocages connaissent un recul depuis de nombreuses années. Or, ces territoires sont très favorables à la biodiversité. Fort de ce constat, l’Office national de la chasse et de la faune sauvage et l’Institut national de l’information géographique et forestière se sont associés pour développer un projet de suivi qualitatif et quantitatif des bocages en France. L’objectif est de ralentir voire de stopper la dégradation des bocages au titre des différents services rendus à la société. Il s’agit aussi de restaurer les bocages dégradés pour les rendre fonctionnels d’un point de vue écologique. Numéro de notice : A2019-631 Thématique : BIODIVERSITE/GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : 10.14758/SET-REVUE.2019.4.03 date de publication en ligne : 03/10/2019 En ligne : https://doi.org/10.14758/SET-REVUE.2019.4.03 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95445
in Sciences, eaux & territoires > n° 30 (octobre 2019) . - pp 16 - 21[article]
Titre : Drones for biodiversity conservation and ecological monitoring Type de document : Monographie Auteurs : Ricardo Díaz-Delgado, Editeur scientifique ; Caspar A. Mücher, Editeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2019 Importance : 176 p. Format : 17 x 25 cm ISBN/ISSN/EAN : 978-3-03921-981-0 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes descripteurs IGN] cartographie écologique
[Termes descripteurs IGN] classification dirigée
[Termes descripteurs IGN] conservation
[Termes descripteurs IGN] écosystème
[Termes descripteurs IGN] image de drone
[Termes descripteurs IGN] image hyperspectrale
[Termes descripteurs IGN] protection de la biodiversité
[Termes descripteurs IGN] surveillance écologiqueRésumé : (éditeur) Unmanned aerial vehicles (UAV) have already become an affordable and cost-efficient tool to quickly map a targeted area for many emerging applications in the arena of ecological monitoring and biodiversity conservation. Managers, owners, companies, and scientists are using professional drones equipped with high-resolution visible, multispectral, or thermal cameras to assess the state of ecosystems, the effect of disturbances, or the dynamics and changes within biological communities inter alia. We are now at a tipping point on the use of drones for these type of applications over natural areas. UAV missions are increasing but most of them are testing applicability. It is time now to move to frequent revisiting missions, aiding in the retrieval of important biophysical parameters in ecosystems or mapping species distributions. This Special Issue shows UAV applications contributing to a better understanding of biodiversity and ecosystem status, threats, changes, and trends. It documents the enhancement of knowledge in ecological integrity parameters mapping, long-term ecological monitoring based on drones, mapping of alien species spread and distribution, upscaling ecological variables from drone to satellite images: methods and approaches, rapid risk and disturbance assessment using drones, mapping albedo with UAVs, wildlife tracking, bird colony and chimpanzee nest mapping, habitat mapping and monitoring, and a review on drones for conservation in protected areas. Note de contenu : Editorial
1- Calibrating Sentinel-2 imagery with multispectral UAV derived information to quantify damages in mediterranean rice crops caused by western Swamphen (Porphyrio porphyrio)
2- A UAV-based sensor system for measuring land surface Albedo: tested over a boreal peatland ecosystem
3- Drones for conservation in protected areas: present and future
4- Enhancement of ecological field experimental research by means of UAV multispectral sensing
5- Greenness indices from a low-Cost UAV imagery as tools for monitoring post-fire forest recovery
6- Classification of lowland native grassland communities using hyperspectral unmanned aircraft system (UAS) imagery in the tasmanian midlands
7- Rapid assessment of ecological integrity for LTER wetland Sites by using UAV multispectral mapping
8- Estimating wildlife tag location errors from a VHF receiver mounted on a drone
9- Drone Monitoring of Breeding waterbird populations: The case of the glossy ibis
10- Assessment of chimpanzee nest detectability in drone-acquired imagesNuméro de notice : 25886 Thématique : IMAGERIE Nature : Monographie DOI : 10.3390/books978-3-03921-981-0 En ligne : https://doi.org/10.3390/books978-3-03921-981-0 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95786 Generating terrestrial glacier views from historic airphotos for comparison with contemporary ground photographs / Marion Holst (2018)
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