Intercomparison of Downscaling Techniques for Satellite Soil Moisture Products
During recent decades, various downscaling methods of satellite soil moisture (SM) products, which incorporate geophysical variables such as land surface temperature and vegetation, have been studied for improving their spatial resolution. Most of these studies have used least squares regression mod...
Saved in:
Main Authors: | Daeun Kim, Heewon Moon, Hyunglok Kim, Jungho Im, Minha Choi |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2018-01-01
|
Series: | Advances in Meteorology |
Online Access: | http://dx.doi.org/10.1155/2018/4832423 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Development and Assessment of the Sand Dust Prediction Model by Utilizing Microwave-Based Satellite Soil Moisture and Reanalysis Datasets in East Asian Desert Areas
by: Hyunglok Kim, et al.
Published: (2017-01-01) -
An Apparent Thermal Inertia Based Trapezoid Model for Downscaling ESA CCI Soil Moisture Products
by: Shulin Li, et al.
Published: (2025-01-01) -
Aerosol layer height (ALH) retrievals from oxygen absorption bands: intercomparison and validation among different satellite platforms, GEMS, EPIC, and TROPOMI
by: H. Kim, et al.
Published: (2025-01-01) -
Goniopolarimetric Properties of Typical Satellite Material Surfaces: Intercomparison with Semi-Empirical pBRDF Modeled Results
by: Min Yang, et al.
Published: (2024-12-01) -
Bias Correction in Monthly Records of Satellite Soil Moisture Using Nonuniform CDFs
by: Shan Wang, et al.
Published: (2018-01-01)