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Potential of Sentinel-1 data for monitoring temperate mixed forest phenology / Pierre-Louis Frison in Remote sensing, vol 10 n° 12 (December 2018)  

Public [article]  inRemote sensing > vol 10 n° 12 (December 2018) Titre : Potential of Sentinel-1 data for monitoring temperate mixed forest phenology Type de document : Article/Communication Auteurs : Pierre-Louis Frison , Auteur ; Bénédicte Fruneau , Auteur ; Syrine Kmiha, Auteur ; Kamel Soudani, Auteur ; Eric Dufrêne, Auteur ; Thuy Le Toan, Auteur ; Thierry Koleck, Auteur ; Ludovic Villard, Auteur ; Eric Mougin, Auteur ; Jean-Paul Rudant , Auteur Année de publication : 2018 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] analyse diachronique [Termes descripteurs IGN] arbre caducifolié [Termes descripteurs IGN] coefficient de rétrodiffusion [Termes descripteurs IGN] cohérence des données [Termes descripteurs IGN] données polarimétriques [Termes descripteurs IGN] Fontainebleau, forêt de [Termes descripteurs IGN] forêt tempérée [Termes descripteurs IGN] image radar moirée [Termes descripteurs IGN] image Sentinel-SAR [Termes descripteurs IGN] phénologie [Termes descripteurs IGN] signature spectrale [Termes descripteurs IGN] surveillance forestière Résumé : (auteur) In this study, the potential of Sentinel-1 data to seasonally monitor temperate forests was investigated by analyzing radar signatures observed from plots in the Fontainebleau Forest of the Ile de France region, France, for the period extending from March 2015 to January 2016. Radar backscattering coefficients, σ0 and the amplitude of temporal interferometric coherence profiles in relation to environmental variables are shown, such as in situ precipitation and air temperature. The high temporal frequency of Sentinel-1 acquisitions (i.e., twelve days, or six, if both Sentinel-1A and B are combined over Europe) and the dual polarization configuration (VV and VH over most land surfaces) made a significant contribution. In particular, the radar backscattering coefficient ratio of VV to VH polarization, σ0VV/σ0VH , showed a well-pronounced seasonality that was correlated with vegetation phenology, as confirmed in comparison to NDVI profiles derived from Landsat-8 (r = 0.77) over stands of deciduous trees. These results illustrate the high potential of Sentinel-1 data for monitoring vegetation, and as these data are not sensitive to the atmosphere, the phenology could be estimated with more accuracy than optical data. These observations will be quantitatively analyzed with the use of electromagnetic models in the near future. Numéro de notice : A2018-669 Thématique : FORET/IMAGERIE Nature : Article DOI : 10.3390/rs10122049 date de publication en ligne : 17/12/2018 En ligne : https://doi.org/10.3390/rs10122049 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94271 [article]

Cartographier le relief sous les forêts, et le substrat sous les déserts de sable : les attentes de la mission radar Biomass / Laurent Polidori in XYZ, n° 154 (mars - mai 2018)

Public [article]  inXYZ > n° 154 (mars - mai 2018) . - pp 56 - 61 Titre : Cartographier le relief sous les forêts, et le substrat sous les déserts de sable : les attentes de la mission radar Biomass Type de document : Article/Communication Auteurs : Laurent Polidori, Auteur ; Thierry Koleck, Auteur ; Ludovic Villard, Auteur ; Mhamad El Hage, Auteur ; Philippe Paillou, Auteur ; Thuy Le Toan, Auteur Année de publication : 2018 Article en page(s) : pp 56 - 61 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Missions spatiales [Termes descripteurs IGN] bande P [Termes descripteurs IGN] Biomass [Termes descripteurs IGN] désert [Termes descripteurs IGN] forêt [Termes descripteurs IGN] interféromètrie par radar à antenne synthétique [Termes descripteurs IGN] modèle numérique de terrain [Termes descripteurs IGN] polarimétrie radar [Termes descripteurs IGN] radar à antenne synthétique [Termes descripteurs IGN] tomographie radar Résumé : (Auteur) La mission spatiale Biomass sera lancée par l'Agence spatiale européenne en 2021 avec un radar à synthèse d'ouverture en bande P dans le but de cartographier la biomasse forestière à l'échelle planétaire, ainsi que la hauteur et les dégradations du couvert forestier. Plusieurs produits secondaires sont aussi envisagés, notamment la cartographie 30 du relief sous les forêts et du substrat sous les déserts de sable, qui devraient bénéficier du pouvoir de pénétration des ondes radar en bande P et de l'aptitude de la tomographie à séparer les contributions des différentes couches dans un profil vertical de rétrodiffusion. Ces possibilités ayant été démontrées lors de campagnes aéroportées, la qualité des modèles 3D attendus de la mission Biomass reste à évaluer. Numéro de notice : A2018-090 Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89464 [article]

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Understanding 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)  

Public [article]  inRemote sensing of environment > vol 199 (15 September 2017) . - pp 415 - 426 Titre : Understanding the temporal behavior of crops using Sentinel-1 and Sentinel-2-like data for agricultural applications Type de document : Article/Communication Auteurs : Amanda Veloso, Auteur ; Stéphane Mermoz, Auteur ; Alexandre Bouvet, Auteur ; Thuy Le Toan, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 415 - 426 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes descripteurs IGN] blé (céréale) [Termes descripteurs IGN] cultures [Termes descripteurs IGN] Glycine max [Termes descripteurs IGN] image optique [Termes descripteurs IGN] image Sentinel-MSI [Termes descripteurs IGN] image Sentinel-SAR [Termes descripteurs IGN] maïs (céréale) [Termes descripteurs IGN] Normalized Difference Vegetation Index [Termes descripteurs IGN] surveillance agricole [Termes descripteurs IGN] tournesol [Termes descripteurs IGN] variation saisonnière [Termes descripteurs IGN] variation temporelle Résumé : (auteur) Crop monitoring information is essential for food security and to improve our understanding of the role of agriculture on climate change, among others. Remotely sensing optical and radar data can help to map crop types and to estimate biophysical parameters, especially with the availability of an unprecedented amount of free Sentinel data within the Copernicus programme. These datasets, whose continuity is guaranteed up to decades, offer a unique opportunity to monitor crops systematically every 5 to 10 days. Before developing operational monitoring methods, it is important to understand the temporal variations of the remote sensing signal of different crop types in a given region. In this study, we analyse the temporal trajectory of remote sensing data for a variety of winter and summer crops that are widely cultivated in the world (wheat, rapeseed, maize, soybean and sunflower). The test region is in southwest France, where Sentinel-1 data have been acquired since 2014. Because Sentinel-2 data were not available for this study, optical satellites similar to Sentinel-2 are used, mainly to derive NDVI, for a comparison between the temporal behaviors with radar data. The SAR backscatter and NDVI temporal profiles of fields with varied management practices and environmental conditions are interpreted physically. Key findings from this analysis, leading to possible applications of Sentinel-1 data, with or without the conjunction of Sentinel-2, are then described. This study points out the interest of SAR data and particularly the VH/VV ratio, which is poorly documented in previous studies. Numéro de notice : A2017-418 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern En ligne : https://doi.org/10.1016/j.rse.2017.07.015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86311 [article]

Coverage of high biomass forests by the ESA BIOMASS mission under defense restrictions / João M.B. Carreiras in Remote sensing of environment, vol 196 (July 2017)  

Public [article]  inRemote sensing of environment > vol 196 (July 2017) . - pp 154 - 162 Titre : Coverage of high biomass forests by the ESA BIOMASS mission under defense restrictions Type de document : Article/Communication Auteurs : João M.B. Carreiras, Auteur ; Shaun Quegan, Auteur ; Thuy Le Toan, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 154 - 162 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] bande P [Termes descripteurs IGN] Biomass [Termes descripteurs IGN] biomasse aérienne [Termes descripteurs IGN] couvert forestier [Termes descripteurs IGN] image radar moirée [Termes descripteurs IGN] modèle numérique [Termes descripteurs IGN] puits de carbone [Vedettes matières IGN] Végétation et changement climatique Résumé : (auteur) The magnitude of the global terrestrial carbon pool and related fluxes to and from the atmosphere are still poorly known. The European Space Agency P-band radar BIOMASS mission will help to reduce this uncertainty by providing unprecedented information on the distribution of forest above-ground biomass (AGB), particularly in the tropics where the gaps are greatest and knowledge is most needed. Mission selection was made in full knowledge of coverage restrictions over Europe, North and Central America imposed by the US Department of Defense Space Objects Tracking Radar (SOTR) stations. Under these restrictions, only 3% of AGB carbon stock coverage is lost in the tropical forest biome, with this biome representing 66% of global AGB carbon stocks in 2005. The loss is more significant in the temperate (72%), boreal (37%) and subtropical (29%) biomes, with these accounting for approximately 12%, 15% and 7%, respectively, of the global forest AGB carbon stocks. In terms of global carbon cycle modelling, there is minimal impact in areas of high AGB density, since mainly lower biomass forests in cooler climates are affected. In addition, most areas affected by the SOTR stations are located in industrialized countries with well-developed national forest inventories, so that extensive information on AGB is already available. Hence the main scientific objectives of the BIOMASS mission are not seriously compromised. Furthermore, several space sensors that can estimate AGB in lower biomass forests are in orbit or planned for launch between now and the launch of BIOMASS in 2021, which will help to fill the gaps in mission coverage. Numéro de notice : A2017-808 Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2017.05.003 En ligne : https://doi.org/10.1016/j.rse.2017.05.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89247 [article]

Potential of Sentinel-1 data for vegetation monitoring / Pierre-Louis Frison (2017)

Public Titre : Potential of Sentinel-1 data for vegetation monitoring Type de document : Article/Communication Auteurs : Pierre-Louis Frison , Auteur ; Bénédicte Fruneau , Auteur ; Kamel Soudani, Auteur ; Eric Dufrêne, Auteur ; Thuy Le Toan, Auteur ; Thierry Koleck, Auteur ; J.F. Dejoux, Auteur ; Ludovic Villard, Auteur ; Eric Mougin, Auteur Congrès : RAQRS 2017, 5th international symposium on Recent Advance in Quantitative Remote Sensing (18 - 22 septembre 2017; Torrent, Valence, Espagne) , Commanditaire Editeur : Valence [Espagne] : Universitat de Valencia Année de publication : 2017 Langues : Anglais (eng) Résumé : (auteur) The monitoring of seasonal variations of Earth Surfaces needs acquisitions realized with high temporal frequencies. Radar remote sensing data have shown its potential for surface parameters monitoring (biomass and soil moisture). For example, the high temporal frequency of acquisitions (about 1-5 days depending of the latitude) realized par radar spaceborne scatterometers, such as those onboard ERS or METOP satellites allowed the quantitative estimation of yearly biomass and soil moisture estimations over semi-arid areas, such as the Sahelian region. The associated coarse spatial resolution (20 – 50 km) makes these data dedicated applications at regional and global scales. The Sentinel-1 mission allows to acquire of radar data every 12 days from the period extending from March 2015 to August 2016, when only Sentinel-1A operated alone. This period is reduced to 6 days since September 2016 by the combination of Sentinel-1B acquisitions. Consequently, it allows for the first time to assess the potential of radar data acquired with this revisiting time associated to a spatial resolution of about 20 m. In addition to the radar intensity, data acquired by the CSAR (C-band Synthetic Aperture Radar) onboard Sentinel-1 allow to access to he phase information. Consequently, interferometric products between two consecutive aquisitions can be generated, such as the interferometric coherence ρ. In this talk we analyze temporal profiles of radar backscattering coefficient σ0 as well as coherence |ρ| over vegetated areas. Two different sites are considered, both located in France: a temperate forest near Fontainebleau, in the region of Ile de France, and an agricultural area located near Toulouse. Primary results show that on the contrary to existing SAR missions, characterized by a temporal repetitivity of about one month, the 12 days temporal period, combined to the dual polarization (both VV and VH polarizations are acquired in the Interferometric Wide Swath mode over land surfaces) allow to observe a seasonal cycle in the σ0 temporal profile. This temporal behaviour, which appears to be time coincident with the leaves activity period over the Fontainebleau Forest, is particularly emphasis with the polarization ration, i.e.: σ0VV⁄σ0VH. The coherence behaviour appears to be low (≈ 0.2) and constant most of the year over the forest. It appears that the highest seasonal variations are observed over agricultural fields where both σ0 and |ρ| temporal profiles show complementary behaviour. Numéro de notice : C2017-050 Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91948

Radar based classification prior to biomass retrieval from P-Band SAR data / Pierre-Louis Frison (2016)  

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The TropiSAR airborne campaign in French Guiana : objectives, description, and observed temporal behavior of the backscatter signal / P. Dubois-Fernandez in IEEE Transactions on geoscience and remote sensing, vol 50 n° 8 (August 2012)  

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Agriculture classification using PolSAR data / H. Skriver (17/01/2005)

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Monitoring surface soil moisture in post-harvest rice areas using C-band radar imagery in NorthEast Thailand / S. Kaojarern in Geocarto international, vol 19 n° 3 (September - November 2004)  

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On the retrieving of forest stem volume from VHF SAR data: observation and modeling / P. Melon in IEEE Transactions on geoscience and remote sensing, vol 39 n° 11 (November 2001)

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Effet de la direction des rangs de semis de maïs sur la réponse radar en bande L / Thuy Le Toan in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 79 - 80 (Octobre 1980)

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Etude préliminaire d'images radar en bande L de forêts de pins maritimes dans le sud-ouest de la France / Jacques Riom in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 79 - 80 (Octobre 1980)

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Les clichés ERTS1 et la cartographie des paysages en milieu tropical : le cas de la Thaïlande septentrionale / M. Bruneau in Bulletin [Société Française de Photogrammétrie], n° 61 (Janvier 1976)

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Étude de culture irriguée (riz) par télédétection dans le cadre du programme Agreste / Thuy Le Toan (1976)

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