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Global sensitivity analysis of the L-MEB model for retrieving soil moisture / Zengyan Wang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 5 (May 2016)
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Titre : Global sensitivity analysis of the L-MEB model for retrieving soil moisture Type de document : Article/Communication Auteurs : Zengyan Wang, Auteur ; Tao Che, Auteur ; Yuei-An Liou, Auteur Année de publication : 2016 Article en page(s) : pp 2949 - 2962 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse d'image orientée objet
[Termes IGN] analyse de sensibilité
[Termes IGN] bande L
[Termes IGN] densité de la végétation
[Termes IGN] humidité du sol
[Termes IGN] rugosité du sol
[Termes IGN] température au solRésumé : (Auteur) A global sensitivity analysis utilizing the extended Fourier amplitude sensitivity test is used to determine the parameter sensitivity of the L-band microwave emission of the biosphere (L-MEB) model. The results are analyzed from two perspectives of calibration and inversion. First, the parameters of surface soil moisture, soil roughness factor, vegetation optical depth at nadir, and effective land surface temperature are the four most sensitive parameters in the L-MEB model, demonstrating their possibility to be retrieved in the multiparameter retrieval approaches. Then, the high total sensitivity index (TSI) values of surface soil temperature in the analyses emphasize the importance of high-precision land surface temperature data in the surface soil moisture retrievals, especially for rougher or more vegetated surface conditions. Finally, our analysis indicates that TSI values are high for the soil surface roughness and vegetation optical depth model parameters but low for the vegetation structure, single scattering albedo, and soil roughness coefficient model parameters at incidence angles near nadir. This suggests that calibration experiments performed at small incidence angles may be appropriate for some but not all of the model parameters, which characterize the effect of soil surface roughness and vegetation on the terrestrial brightness temperature. Consequently, new calibration procedures that account for the different relative sensitivities of these model parameters at larger incidence angles may need to be developed in the future. Numéro de notice : A2016-847 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2509176 En ligne : https://doi.org/10.1109/TGRS.2015.2509176 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82928
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 5 (May 2016) . - pp 2949 - 2962[article]L’imagerie satellitaire stéréoscopique très haute résolution spatiale Pléiades : apport pour les problématiques urbaines / Dominique Hébrard in Signature, n° 60 (mai 2016)
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Titre : L’imagerie satellitaire stéréoscopique très haute résolution spatiale Pléiades : apport pour les problématiques urbaines Type de document : Article/Communication Auteurs : Dominique Hébrard, Auteur Année de publication : 2016 Article en page(s) : pp 11 - 24 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] classification
[Termes IGN] couche thématique
[Termes IGN] image Pléiades
[Termes IGN] image Pléiades-HR
[Termes IGN] indicateur
[Termes IGN] milieu urbain
[Termes IGN] occupation du sol
[Termes IGN] urbanismeRésumé : (auteur) Les questions de consommation d’espace raisonnée des territoires sont de plus en plus prégnantes dans la réglementation en matière d’urbanisme et d’environnement. Aussi, les acteurs de l’aménagement du territoire doivent disposer de données actualisées et pertinentes pour mettre en œuvre des politiques publiques efficaces. Ce dossier vise à montrer l’apport potentiel de l’imagerie spatiale très haute résolution pour les problématiques urbaines. Le PCI AST (Pôle de Compétences et d’Innovation Applications Satellitaires) du Cerema a ouvert une série de chantiers depuis plusieurs années sur le développement de méthodologies, leur portage dans le champ opérationnel, sur la continuité entre les aspects techniques et thématiques. Numéro de notice : A2016-284 Affiliation des auteurs : non IGN Thématique : IMAGERIE/URBANISME Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80863
in Signature > n° 60 (mai 2016) . - pp 11 - 24[article]Documents numériques
en open access
L’imagerie satellitaire stéréoscopique très haute résolution spatiale PléiadesAdobe Acrobat PDFIn search of Georgian artefacts : UAS for archaeological exploration / Ella Doolan in GIM international, vol 30 n° 5 (May 2016)
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Titre : In search of Georgian artefacts : UAS for archaeological exploration Type de document : Article/Communication Auteurs : Ella Doolan, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 28 - 31 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] archéologie aérienne
[Termes IGN] drone
[Termes IGN] Géorgie (Europe)
[Termes IGN] site archéologiqueRésumé : (éditeur) Over the past nine years, a team of Australian archaeologists has visited Georgia every year as part of the Georgian-Australian Investigations into Archaeology (GAZA), a partnership between the University of Melbourne and the Georgian National Museum. As part of our final year of the Master of Engineering (Geomatics) program, we were fortunate enough to capitalize upon this strong relationship and based our year-long research project at an archaeological site in Dzveli, Georgia. Here, the primary objective was to survey and map the site where a preliminary investigation had already revealed remains of the Kura-Araxes culture dating from approximately 3500 BC. Numéro de notice : A2016-212 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80676
in GIM international > vol 30 n° 5 (May 2016) . - pp 28 - 31[article]Mapping tree species diversity of a tropical montane forest by unsupervised clustering of airborne imaging spectroscopy data / Elisa Schäfer in Ecological indicators, vol 64 (May 2016)
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Titre : Mapping tree species diversity of a tropical montane forest by unsupervised clustering of airborne imaging spectroscopy data Type de document : Article/Communication Auteurs : Elisa Schäfer, Auteur ; Janne Heiskanen, Auteur ; Vuokko Heikinheimo, Auteur ; Petri Pellikka, Auteur Année de publication : 2016 Article en page(s) : pp 49 - 58 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse d'image orientée objet
[Termes IGN] arbre (flore)
[Termes IGN] biodiversité
[Termes IGN] canopée
[Termes IGN] forêt tropicale
[Termes IGN] image aérienne
[Termes IGN] Kenya
[Termes IGN] placette d'échantillonnage
[Termes IGN] segmentation d'imageRésumé : (auteur) With the ongoing global biodiversity loss, approaches to measuring and monitoring biodiversity are necessary for effective conservation planning, especially in tropical forests. Remote sensing has much potential for biodiversity mapping, and high spatial resolution imaging spectroscopy (IS) allows for direct prediction of tree species diversity based on spectral reflectance. The objective of this study was to test an approach for mapping tree species alpha diversity that takes advantage of an unsupervised object-based clustering. Tree species diversity of a tropical montane forest in the Taita Hills, Kenya, was mapped based on spectral variation of high spatial resolution IS data.
Airborne IS data and species data from 31 field plots were collected in the study area. Species diversity measures were obtained from the IS data by clustering spectrally similar image segments representing tree crowns. In order to do this, the image was segmented to objects that represented tree crowns. Three measures of species diversity were calculated based on the field data and on the clustering results, and the relationships were statistically analyzed.
According to the results, the approach succeeded well in revealing tree species diversity patterns. Especially, tree species richness was well predicted (RMSE = 3 species; r2 = 0.50) directly based on the clustering results. The optimal number of clusters was found to be close to the estimated number of tree species in the forest. Minimum tree size was an important determinant of the relationships, because only part of the trees are visible to the airborne sensor in the multi-layered closed canopy forest.
In general, the object-based approach proved to be a viable alternative to a pixel-based clustering. The approach takes advantage of the capability of IS to detect spectral differences among tree crowns, but without the need for spectral training data, which is expensive to collect. With further development, the approach could be applied also for estimating beta diversity.Numéro de notice : A2016-346 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.ecolind.2015.12.026 En ligne : http://dx.doi.org/10.1016/j.ecolind.2015.12.026 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81035
in Ecological indicators > vol 64 (May 2016) . - pp 49 - 58[article]Monitoring of water stress in wheat using multispectral indices derived from Landsat-TM / Nitika Dangwal in Geocarto international, vol 31 n° 5 - 6 (May - June 2016)
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Titre : Monitoring of water stress in wheat using multispectral indices derived from Landsat-TM Type de document : Article/Communication Auteurs : Nitika Dangwal, Auteur ; N.R. Patel, Auteur ; Mamta Kumari, Auteur ; S.K. Saha, Auteur Année de publication : 2016 Article en page(s) : pp 682 - 693 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] image Landsat-TM
[Termes IGN] indice d'humidité
[Termes IGN] indice de stress
[Termes IGN] irrigation
[Termes IGN] surveillance agricole
[Termes IGN] teneur en eau de la végétationRésumé : (Auteur) Detection of crop water stress is crucial for efficient irrigation water management. Potential of Satellite data to provide spatial and temporal dynamics of crop growth conditions makes it possible to monitor crop water stress at regional level. This study was conducted in parts of western Uttar Pradesh and Haryana. Multi-temporal Landsat data were used for detecting wheat crop water stress using vegetation indices (VIs), viz. vegetation water stress index (VWSI) and land surface wetness index water stress factor (Ws_LSWI). The estimated water stress from satellite data-based VIs was validated by water stress factor (Ws) derived from flux-tower data. The study observed Ws_LSWI to be better index for water stress detection. The results indicated that Ws_LSWI was superior over other index showing RMSE = 0.12, R2 = 0.65, whereas VWSI showed overestimated values with mean RD 4%. Numéro de notice : A2016-174 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2015.1073369 Date de publication en ligne : 01/09/2015 En ligne : http://www.tandfonline.com/doi/full/10.1080/10106049.2015.1073369 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80518
in Geocarto international > vol 31 n° 5 - 6 (May - June 2016) . - pp 682 - 693[article]Réservation
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