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Xia, Long, Song, Xiaoning, Leng, Pei, Wang, Yawei, Hao, Yanbin, Wang, Yanfen (2019) A comparison of two methods for estimating surface soil moisture based on the triangle model using optical/thermal infrared remote sensing over the source area of the Yellow River. International Journal of Remote Sensing, 40 (5). doi:10.1080/01431161.2018.1519287

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Reference TypeJournal (article/letter/editorial)
TitleA comparison of two methods for estimating surface soil moisture based on the triangle model using optical/thermal infrared remote sensing over the source area of the Yellow River
JournalInternational Journal of Remote Sensing
AuthorsXia, LongAuthor
Song, XiaoningAuthor
Leng, PeiAuthor
Wang, YaweiAuthor
Hao, YanbinAuthor
Wang, YanfenAuthor
Year2019 (March 19)Volume40
Issue5
PublisherInforma UK Limited
DOIdoi:10.1080/01431161.2018.1519287Search in ResearchGate
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Mindat Ref. ID17809293Long-form Identifiermindat:1:5:17809293:1
GUID0
Full ReferenceXia, Long, Song, Xiaoning, Leng, Pei, Wang, Yawei, Hao, Yanbin, Wang, Yanfen (2019) A comparison of two methods for estimating surface soil moisture based on the triangle model using optical/thermal infrared remote sensing over the source area of the Yellow River. International Journal of Remote Sensing, 40 (5). doi:10.1080/01431161.2018.1519287
Plain TextXia, Long, Song, Xiaoning, Leng, Pei, Wang, Yawei, Hao, Yanbin, Wang, Yanfen (2019) A comparison of two methods for estimating surface soil moisture based on the triangle model using optical/thermal infrared remote sensing over the source area of the Yellow River. International Journal of Remote Sensing, 40 (5). doi:10.1080/01431161.2018.1519287
In(2019, March) International Journal of Remote Sensing Vol. 40 (5). Informa UK Limited

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Leng, Pei, Song, Xiaoning, Li, Zhao-Liang, Wang, Yawei, Wang, Di (2015) Effects of vegetation and soil texture on surface soil moisture retrieval using multi-temporal optical and thermal infrared observations. International Journal of Remote Sensing, 36 (19). doi:10.1080/01431161.2015.1040131
Wang, Yawei, Peng, Jian, Song, Xiaoning, Leng, Pei, Ludwig, Ralf, Loew, Alexander (2018) Surface Soil Moisture Retrieval Using Optical/Thermal Infrared Remote Sensing Data. IEEE Transactions on Geoscience and Remote Sensing, 56 (9) 5433-5442 doi:10.1109/tgrs.2018.2817370
Leng, Pei, Song, Xiaoning, Li, Zhao-Liang, Wang, Yawei, Wang, Ruixin (2015) Toward the Estimation of Surface Soil Moisture Content Using Geostationary Satellite Data over Sparsely Vegetated Area. Remote Sensing, 7 (4). doi:10.3390/rs70404112
Leng, Pei, Song, Xiaoning, Li, Zhao-Liang, Wang, Yawei (2013) Evaluation of the Effects of Soil Layer Classification in the Common Land Model on Modeled Surface Variables and the Associated Land Surface Soil Moisture Retrieval Model. Remote Sensing, 5 (11). doi:10.3390/rs5115514
Carlson, Toby N., Petropoulos, George P (2019) A new method for estimating of evapotranspiration and surface soil moisture from optical and thermal infrared measurements: the simplified triangle. International Journal of Remote Sensing, 40 (20). doi:10.1080/01431161.2019.1601288
Leng, Pei, Song, Xiaoning, Li, Zhao-Liang, Ma, Jianwei, Zhou, Fangcheng, Li, Shuang (2014) Bare surface soil moisture retrieval from the synergistic use of optical and thermal infrared data. International Journal of Remote Sensing, 35 (3). doi:10.1080/01431161.2013.875237
Leng, Pei, Song, Xiaoning, Duan, Si-Bo, Li, Zhao-Liang (2016) Preliminary validation of two temporal parameter-based soil moisture retrieval models using a satellite product and in situ soil moisture measurements over the REMEDHUS network. International Journal of Remote Sensing, 37 (24). doi:10.1080/01431161.2016.1253896
Leng, Pei, Li, Zhao-Liang, Duan, Si-Bo, Gao, Mao-Fang, Huo, Hong-Yuan (2019) First results of all-weather soil moisture retrieval from an optical/thermal infrared remote-sensing-based operational system in China. International Journal of Remote Sensing, 40 (5). doi:10.1080/01431161.2018.1468119
Song, Xiaoning, Ma, Jianwei, Li, Xiaotao, Leng, Pei, Zhou, Fangcheng, Li, Shuang (2014) First Results of Estimating Surface Soil Moisture in the Vegetated Areas Using ASAR and Hyperion Data: The Chinese Heihe River Basin Case Study. Remote Sensing, 6 (12). doi:10.3390/rs61212055
Anderson, M (1997) A Two-Source Time-Integrated Model for Estimating Surface Fluxes Using Thermal Infrared Remote Sensing. Remote Sensing of Environment, 60 (2). 195-216 doi:10.1016/s0034-4257(96)00215-5
Wang, Yawei, Leng, Pei, Ma, Jianwei, Peng, Jian (2022) A Method for Downscaling Satellite Soil Moisture Based on Land Surface Temperature and Net Surface Shortwave Radiation. IEEE Geoscience and Remote Sensing Letters, 19. 1-5 doi:10.1109/lgrs.2021.3062453
 
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