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Auteur Eric Mougin |
Documents disponibles écrits par cet auteur (7)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externesPotential of Sentinel-1 data for monitoring temperate mixed forest phenology / Pierre-Louis Frison in Remote 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 Année de publication : 2018 Projets : 3-projet - voir note / Article en page(s) : n° 2049 Note générale : bibliographie
This research was funding by the Centre National d’Etudes Spatiales (CNES), grant number DCT/SI/TR/2016-01532Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse diachronique
[Termes IGN] arbre caducifolié
[Termes IGN] coefficient de rétrodiffusion
[Termes IGN] cohérence des données
[Termes IGN] données polarimétriques
[Termes IGN] Fontainebleau, forêt de (Seine-et-Marne)
[Termes IGN] forêt tempérée
[Termes IGN] image radar moirée
[Termes IGN] image Sentinel-SAR
[Termes IGN] phénologie
[Termes IGN] signature spectrale
[Termes IGN] surveillance forestièreRésumé : (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 Affiliation des auteurs : UPEM-LASTIG+Ext (2016-2019) Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern 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
in Remote sensing > vol 10 n° 12 (December 2018) . - n° 2049[article]
Titre : Soil moisture estimation in Ferlo region (Senegal) using radar (ENVISAT/ASAR) and optical (SPOT/VEGETATION) data Type de document : Article/Communication Auteurs : Gayane Faye, Auteur ; Pierre-Louis Frison Année de publication : 2018 Projets : 1-Pas de projet / Article en page(s) : pp 13 - 22 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Ferlo
[Termes IGN] humidité du sol
[Termes IGN] image Envisat-ASAR
[Termes IGN] image SPOT-Végétation
[Termes IGN] SénégalRésumé : (auteur) The sensitivity of the radar signal to the seasonal dynamics in the Sahel region is a considerable asset for monitoring surface parameters including soil moisture. Given the sensitivity of the radar signal to vegetation mass production, roughness and soil moisture, the main problem has been to estimate the contribution of these three parameters to the signal. This study aims to circumvent this problem by combining radar with optical data. The DMP (Dry Mater Product) extracted from SPOT data allowed to estimate vegetation mass production. Surface roughness was estimated from radar data during the dry season. Because during the dry season, radar signal is only conditioned by soil roughness in this region a Radiative Transfer Model (RTM) was used: it consists in a microwave scattering model of layered vegetation based on the first-order solution of the radiative transfer equation and it accounts for multiple scattering within the canopy, surface roughness of the soil, and the interaction between canopy surface and soil. This model was designed to account for the branch size distribution, leaf orientation distribution, and branch orientation distribution for each size. In this study, the RTM has been calibrated with ESCAT (European Radar Satellite Scatterometer) data, and has been used in order to estimate soil moisture. The results obtained have allowed to track the spatial and temporal dynamics of soil moisture on the one hand, and on the other hand the influence of geology and morphopedology on the spatial dynamics of the soil moisture variability. These results are promising despite the fact that the inversed RTM often faces difficulties to interpret the signal for saturated soils, giving an aberrant value of soil moisture more often than not. Numéro de notice : A2018-677 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.ejrs.2017.11.005 Date de publication en ligne : 18/07/2017 En ligne : https://doi.org/10.1016/j.ejrs.2017.11.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91943
in The Egyptian Journal of Remote Sensing and Space Science > Vol. 21 suppl.1 (juillet 2018) . - pp 13 - 22[article]Land Surface Remote Sensing in Continental Hydrology, ch. 3. Using satellite scatterometers to monitor continental surfaces / Pierre-Louis Frison (2017)
Titre de série : Land Surface Remote Sensing in Continental Hydrology, ch. 3 Titre : Using satellite scatterometers to monitor continental surfaces Type de document : Chapitre/Contribution Auteurs : Pierre-Louis Frison Editeur : Amsterdam [Pays Bas] : Elsevier Année de publication : 2017 Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] biomasse aérienne
[Termes IGN] dégel
[Termes IGN] diffusomètre
[Termes IGN] humidité du sol
[Termes IGN] stress hydrique
[Termes IGN] zone boréaleRésumé : (auteur) Scatterometers are sidelooking radar sensors designed to precisely evaluate the radar backscatter coefficient σ0 of the surfaces being observed. However, as we will aim to demonstrate, this high radiometric resolution is obtained at the cost of spatial resolution. Scatterometers are therefore radar sensors complementary to synthetic aperture radars (SAR). These promote spatial resolution at the cost of radiometric resolution. Thus, while current SAR are characterized by a spatial resolution of about 1 m, with a strong radiometric variation linked to the speckle effect, satellite scatterometers have a spatial resolution accurate to about 10 km, with an precision on the estimation of σ0 within a tenth of a decibel. Originally designed in order to evaluate the speed and direction of wind across ocean surfaces, the potential of these sensors for the monitoring of continental surfaces on a regional or global scale has been demonstrated. Numéro de notice : H2017-032 Affiliation des auteurs : UPEM-LASTIG+Ext (2016-2019) Thématique : IMAGERIE Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.1016/B978-1-78548-104-8.50003-6 Date de publication en ligne : 23/09/2016 En ligne : https://doi.org/10.1016/B978-1-78548-104-8.50003-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95536
Titre : Potential of Sentinel-1 data for vegetation monitoring Type de document : Article/Communication Auteurs : Pierre-Louis Frison Editeur : Valence [Espagne] : Universidad de Valencia Année de publication : 2017 Conférence : RAQRS 2017, 5th international symposium on Recent Advance in Quantitative Remote Sensing 18/09/2017 22/09/2017 Valence Espagne open access proceedings 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 Affiliation des auteurs : UPEM-LASTIG+Ext (2016-2019) Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91948
contenu dans Télédétection pour l'observation des surfaces continentales, Volume 4. Observation des surfaces continentales par télédétection 2 / Nicolas Baghdadi (2017)
Titre de série : Télédétection pour l'observation des surfaces continentales, ch. 3 Titre : Utilisation des diffusiomètres satellitaires pour le suivi des surfaces continentales Type de document : Chapitre/Contribution Auteurs : Pierre-Louis Frison Editeur : Londres : ISTE Editions Année de publication : 2017 Collection : Collection système Terre - Environnement Importance : pp 89 - 119 Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] biomasse aérienne
[Termes IGN] dégel
[Termes IGN] diffusomètre
[Termes IGN] humidité du sol
[Termes IGN] stress hydrique
[Termes IGN] zone boréaleRésumé : (auteur) A retenir :
- Contrairement à la télédétection Vis/PIR dont les premières images dédiées à la terre datent du début des années 1970, les observations globales dans le domaine radar effectuées par les diffusiomètres sont plus récentes et permettent aussi une observation continue en bande C depuis 1991, et en bande Ku depuis 1999.
- Ces données sont directement liées au contenu en eau du sol en surface et à la quantité de biomasse aérienne. Etant peu ou pas sensibles à l'atmosphère, elles permettent des estimations quantitatives de ces paramètres.
- C'est la sensibilité du radar à l'humidité superficielle du sol qui a fortement contribué à l'utilisation de ces données pour le suivi des terres émergées dans le cadre de nombreuses applications en météorologie et en hydrologie.
- Pour le suivi de la végétation, les longueurs d'ondes utilisées les rendent particulièrement adaptées au suivi des zones arides et semi-arides.
- Plusieurs applications plus exploratoires ont été développées à partir des données des diffusiomètres. Bien que n'ayant pas encore le même niveau de maturité, certaines comme la cartographie des zones inondées ou la détection du stress hydrique de végétation sont amenées à être développées notamment grâce à la continuité des programmes spatiaux qui permettront des acquisitions sur de longues périodes.Numéro de notice : H2017-027 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Chapître / contribution nature-HAL : ChOuvrScient Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91718 Multispectral and microwave sensing of forestry, hydrology, and natural resources / Eric Mougin (1995)
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