The following publications are possibly variants of this publication:
- Mapping Soil Moisture at a High Resolution over Mountainous Regions by Integrating In Situ Measurements, Topography Data, and MODIS Land Surface TemperaturesLei Fan, A. Al-Yaari, Frédéric Frappart, Jennifer J. Swenson, Qing Xiao, Jianguang Wen, Rui Jin, Jian Kang 0004, Xiaojun Li, R. Fernandez-Moran, Jean-Pierre Wigneron. remotesensing, 11(6):656, 2019. [doi]
- Spatial Disaggregation of Coarse Soil Moisture Data by Using High-Resolution Remotely Sensed Vegetation ProductsSeokhyeon Kim, Keerthana Balakrishnan, Yi Liu, Fiona Johnson, Ashish Sharma 0002. lgrs, 14(9):1604-1608, 2017. [doi]
- A spatio-temporal data fusion algorithm for estimating high-resolution soil moisture in agricultural regionsSubit Chakrabarti, Pang-Wei Liu, Jasmeet Judge, Anand Rangarajan 0001, Roger D. De Roo, Rajat Bindlish, Andreas Colliander, Sidharth Misra, Scott Tripp, Barron Latham, Ross Williamson, Isaac Ramos, Thomas J. Jackson, Anthony W. England, Sanjay Ranka, Simon Yueh. igarss 2017: 2495-2498 [doi]
- Discharge Estimates for Ungauged Rivers Flowing over Complex High-Mountainous Regions based Solely on Remote Sensing-Derived DatasetsMulugeta Genanu Kebede, Lei Wang, Kun Yang, Deliang Chen, Xiuping Li, Tian Zeng, Zhidan Hu. remotesensing, 12(7):1064, 2020. [doi]
- The Merit of Estimating High-Resolution Soil Moisture Using Combined Optical, Thermal, and Microwave DataJi Li, Guoyong Leng, Jian Peng 0006. lgrs, 20:1-5, 2023. [doi]