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Remote sensing of environmental changes in cold regions / Jinyang Du (2019)  

Public Titre : Remote sensing of environmental changes in cold regions Type de document : Monographie Auteurs : Jinyang Du, Éditeur scientifique ; Jennifer D. Watts, Éditeur scientifique ; Hui Lu, Éditeur scientifique ; Lingmei Jiang, Éditeur scientifique ; Paolo Tarolli, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2019 Importance : 210 p. ISBN/ISSN/EAN : 978-3-03921-571-3 Note générale : Bibliographie This book is a printed edition of the Special Issue Remote sensing of environmental changes in cold regions that was published in Remote Sensing Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Alaska (Etats-Unis) [Termes IGN] Arctique [Termes IGN] changement climatique [Termes IGN] climat froid [Termes IGN] cryosphère [Termes IGN] eau de surface [Termes IGN] extraction de la végétation [Termes IGN] image Aqua-MODIS [Termes IGN] image radar moirée [Termes IGN] image Radarsat [Termes IGN] image Terra-MODIS [Termes IGN] impact sur l'environnement [Termes IGN] incendie [Termes IGN] nadir [Termes IGN] neige Résumé : (Editeur) This Special Issue gathers papers reporting recent advances in the remote sensing of cold regions. It includes contributions presenting improvements in modeling microwave emissions from snow, assessment of satellite-based sea ice concentration products, satellite monitoring of ice jam and glacier lake outburst floods, satellite mapping of snow depth and soil freeze/thaw states, near-nadir interferometric imaging of surface water bodies, and remote sensing-based assessment of high arctic lake environment and vegetation recovery from wildfire disturbances in Alaska. A comprehensive review is presented to summarize the achievements, challenges, and opportunities of cold land remote sensing. Note de contenu : - Modelling the L-Band Snow-Covered Surface Emission in a Winter Canadian Prairie Environment / Alexandre Roy, Marion Leduc-Leballeur, Ghislain Picard, Alain Royer, Peter Toose, Chris Derksen, Juha Lemmetyinen, Aaron Berg, Tracy Rowlandson and Mike Schwank - Comparison of Passive Microwave Data with Shipborne Photographic Observation sof Summer Sea Ice Concentration along an Arctic Cruise Path / Qingkai Wang, Peng Lu, Yongheng Zu, Zhijun Li, Matti Leppa¨ranta and Guiyong Zhang - Radar Scatter Decomposition to Differentiate between Running Ice Accumulations and Intact Ice Covers along Rivers / Karl–Erich Lindenschmidt and Zhaoqin Li - Development of a Snow Depth Estimation Algorithm over China for the FY-3D/MWRI / Jianwei Yang, Lingmei Jiang, Shengli Wu, Gongxue Wang, Jian Wang and Xiaojing Liu - Development of a Parameterized Model to Estimate Microwave Radiation Response Depth of Frozen Soil / Tao Zhang, Lingmei Jiang, Shaojie Zhao, Linna Chai, Yunqing Li and Yuhao Pan - Mapping High Mountain Lakes Using Space-Borne Near-Nadir SAR Observations / Shengyang Li, Hong Tan, Zhiwen Liu, Zhuang Zhou, Yunfei Liu, Wanfeng Zhang, Kang Liu and Bangyong Qin - Development of Supraglacial Ponds in the Everest Region, Nepal, between 1989 and 2018 / Mohan Bahadur Chand and Teiji Watanabe - Impacts of Climate Change and Intensive Lesser Snow Goose (Chen caerulescens caerulescens) Activity on Surface Water in High Arctic Pond Complexes / T. Kiyo F. Campbell, Trevor C. Lantz and Robert H. Fraser - Recovery Rates of Wetland Vegetation Greenness in Severely Burned Ecosystems of Alaska Derived from Satellite Image Analysis / Christopher Potter Numéro de notice : 26508 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-03921-571-3 En ligne : https://doi.org/10.3390/books978-3-03921-571-3 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97134

Passive microwave remote sensing of soil moisture based on dynamic vegetation scattering properties for AMSR-E / Jinyang Du in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 54 n° 1 (January 2016) . - pp 597 - 608 Titre : Passive microwave remote sensing of soil moisture based on dynamic vegetation scattering properties for AMSR-E Type de document : Article/Communication Auteurs : Jinyang Du, Auteur ; John S. Kimball, Auteur ; Lucas A. Jones, Auteur Année de publication : 2016 Article en page(s) : pp 597 - 608 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] capteur passif [Termes IGN] estimation statistique [Termes IGN] humidité du sol [Termes IGN] image Aqua-AMSR [Termes IGN] réflectance végétale [Termes IGN] rétrodiffusion [Termes IGN] télédétection en hyperfréquence [Termes IGN] variation saisonnière [Termes IGN] végétation Résumé : (Auteur) Accurate mapping of long-term global soil moisture is of great importance to earth science studies and a variety of applications. An approach for deriving volumetric soil moisture using satellite passive microwave radiometry from the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) was developed in this study. Unlike the major AMSR-E retrieval algorithms that assume fixed scattering albedo values over the globe, the proposed algorithm adopts a weighted averaging strategy for soil moisture estimation based on a dynamic selection of albedo values that are empirically determined. The resulting soil moisture retrievals demonstrate more realistic global patterns and seasonal dynamics relative to the baseline University of Montana soil moisture product. Quantitative analysis of the new approach against in situ soil moisture measurements over four study regions also indicates improvements over the baseline algorithm, with coefficients of determination (R2) between the retrievals and in situ measurements increasing by approximately 16.9% and 41.5% and bias-corrected root-mean-square errors decreasing by about 25.0% and 38.2% for ascending and descending orbital data records, respectively. The resulting algorithm is readily applied to similar microwave sensors, including the Advanced Microwave Scanning Radiometer 2, and its retrieval strategy is also applicable to other passive microwave sensors, including lower frequency (L-band) observations from the National Aeronautics and Space Administration Soil Moisture Active Passive mission. Numéro de notice : A2016-070 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2462758 En ligne : https://doi.org/10.1109/TGRS.2015.2462758 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79832 [article]

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