AMSR2 Soil Moisture Downscaling Using Temperature and Vegetation Data
Soil moisture (SM) applications in terrestrial hydrology require higher spatial resolution soil moisture products than those provided by passive microwave remote sensing instruments (grid resolution of 9 km or larger). In this investigation, an innovative algorithm that uses visible/infrared remote...
Main Authors: | Bin Fang, Venkat Lakshmi, Rajat Bindlish, Thomas J. Jackson |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-10-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | http://www.mdpi.com/2072-4292/10/10/1575 |
Similar Items
-
Comparison and Downscale of AMSR2 Soil Moisture Products with In Situ Measurements from the SCAN–NRCS Network over Puerto Rico
by: Jonathan Nuñez-Olivieri, et al.
Published: (2017-09-01) -
A Downscaling Method for Improving the Spatial Resolution of AMSR-E Derived Soil Moisture Product Based on MSG-SEVIRI Data
by: Wei Zhao, et al.
Published: (2013-12-01) -
Enhanced Estimation of Root Zone Soil Moisture at 1 km Resolution Using SMAR Model and MODIS-Based Downscaled AMSR2 Soil Moisture Data
by: Maedeh Farokhi, et al.
Published: (2021-07-01) -
A New Approach for Soil Moisture Downscaling in the Presence of Seasonal Difference
by: Ran Yan, et al.
Published: (2020-08-01) -
Long-Term Spatiotemporal Variations in Soil Moisture in North East China Based on 1-km Resolution Downscaled Passive Microwave Soil Moisture Products
by: Xiangjin Meng, et al.
Published: (2019-08-01)