Use of a new Tibetan Plateau network for permafrost to characterize satellite-based products errors: An application to soil moisture and freeze/thaw

• Published in: Remote Sensing of Environment
• Main Authors: Zheng, Jingyao, Zhao, Tianjie, Lü, Haishen, Zou, Defu, Rodriguez-Fernandez, Nemesio, Mialon, Arnaud, Richaume, Philippe, Xiao, Jianshe, Ma, Jun, Fan, Lei, Song, Peilin, Zhu, Yonghua, Li, Rui, Yao, Panpan, Yang, Qingqing, Du, Shaojie, Wang, Zhen, Peng, Zhiqing, Xiong, Yuyang, Xing, Zanpin, Zhao, Lin, Kerr, Yann, Shi, Jiancheng
• Other Authors: Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2024
• Subjects: Validation; Dense network; Soil moisture; Freeze/thaw; Categorical triple collocation; Permafrost; Tibetan Plateau; [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces; environment; permafrost
• Online Access: https://hal.science/hal-04388742; https://doi.org/10.1016/j.rse.2023.113899

International audience optimal F/T retrievals can be increased by >10% during nighttime after optimizing thresholds based on groundbased measurements. CTC can provide consistent performance ranking with ground-based results in most cases, but the risk of CTC performing incorrect rankings was higher within the triplet where two products strongly covariate or one of the products has a significant error. This study is the first to use dense ground-based measurements in the permafrost region (SMN-WDL) to characterize the errors of four satellite SSM and F/T products. These results are expected to provide a reference with smaller representativeness errors for the further refinement of satellite retrievals in the permafrost region of the third pole.