Two-step fusion method for generating 1 km seamless multi-layer soil moisture with high accuracy in the Qinghai-Tibet plateau
Authors:
- Shuzhe HuangSHShuzhe Huang
- Xiang ZhangXZXiang Zhang
- Chao WangCWChao Wang
- Nengcheng ChenNCNengcheng Chen
- 26 February 2023
- journal article
- research article
- Published by Elsevier in ISPRS Journal of Photogrammetry and Remote Sensing
- Vol. 197, 346-363
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (41801339,41890822)
- National Natural Science Foundation of China (41801339)
- National Natural Science Foundation of China (41890822)
- China University of Geosciences, Wuhan
This publication has 80 references indexed in Scilit:
- Upscaling sparse ground‐based soil moisture observations for the validation of coarse‐resolution satellite soil moisture productsReviews of Geophysics, 2012
- The Tibetan Plateau observatory of plateau scale soil moisture and soil temperature (Tibet-Obs) for quantifying uncertainties in coarse resolution satellite and model productsHydrology and Earth System Sciences, 2011
- Response of hydrological cycle to recent climate changes in the Tibetan PlateauClimatic Change, 2011
- Sensitivity of bare soil albedo to surface soil moisture on the moraine of the Zongo glacier (Bolivia)Geophysical Research Letters, 2009
- The relationship between NDVI and precipitation on the Tibetan PlateauJournal of Geographical Sciences, 2007
- Assimilation of Disaggregated Microwave Soil Moisture into a Hydrologic Model Using Coarse-Scale Meteorological DataJournal of Hydrometeorology, 2006
- A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filterRemote Sensing of Environment, 2004
- Land-surface hydrological processes in the permafrost region of the eastern Tibetan PlateauJournal of Hydrology, 2003
- Soil moisture retrieval from space: the Soil Moisture and Ocean Salinity (SMOS) missionIEEE Transactions on Geoscience and Remote Sensing, 2001
- Smoothing and Differentiation of Data by Simplified Least Squares Procedures.Analytical Chemistry, 1964