Improving Spatial Resolution of SMAP Surface Soil Moisture through the Synergy of Radar-Microwave Observations at the Firoozabad Watershed, Ardabil
Surface soil moisture retrieval using microwave remote sensing, as the most promising method, has been highly valued due to its great accuracy and temporal resolution in broad scales. However, its coarse resolution limits regional scale applications. This study aims to apply the optional downscaling...
Auteurs principaux: | Ayoob Karami, Hamid Reza Moradi, Ali Jafar Mousivand |
---|---|
Format: | Article |
Langue: | fas |
Publié: |
Fars Agricultural and Natural Resources Research and Education Center
2020-12-01
|
Collection: | پژوهشهای آبخیزداری |
Sujets: | |
Accès en ligne: | https://wmrj.areeo.ac.ir/article_121797_ec0371b5c5aa15d04ae2d9fa2e1b1c2b.pdf |
Documents similaires
-
Downscaling SMAP Soil Moisture Products With Convolutional Neural Network
par: Wei Xu, et autres
Publié: (2021-01-01) -
Exploring the utility of the downscaled SMAP soil moisture products in improving streamflow simulation
par: Shimelis Asfaw Wakigari, et autres
Publié: (2023-06-01) -
Spatially Interpolated CYGNSS Data Improve Downscaled 3 km SMAP/CYGNSS Soil Moisture
par: Liza J. Wernicke, et autres
Publié: (2024-08-01) -
Dependence of Soil Moisture and Strength on Topography and Vegetation Varies Within a SMAP Grid Cell
par: Joseph R. Bindner, et autres
Publié: (2025-02-01) -
Global Evaluation of SMAP/Sentinel-1 Soil Moisture Products
par: Farzane Mohseni, et autres
Publié: (2022-09-01)