Soil Moisture Active/Passive (SMAP) L-Band Microwave Radiometer Post-Launch Calibration Revisit: Approach and Performance [PDF]
Jinzheng Peng +9 more
openalex +1 more source
An initial assessment of SMAP soil moisture retrievals using high-resolution model simulations and in situ observations [PDF]
At the end of its first year of operation, we compare soil moisture retrievals from the Soil Moisture Active Passive (SMAP) mission to simulations from a land surface model with meteorological forcing downscaled from observations/reanalysis and in situ ...
Bell +29 more
core +1 more source
A Modified Hierarchical Vision Transformer for Soil Moisture Retrieval From CYGNSS Data
Abstract This research introduces a new deep learning (DL) framework, multi‐head self‐attention‐aided vision Transformer (MSA‐ViT), for soil moisture (SM) retrieval using Cyclone Global Navigation Satellite System (CYGNSS) data. We first assess the sensitivity of CYGNSS reflectivity (Γ) $({\Gamma })$ to SM, demonstrating a strong physical linkage ...
Qingyun Yan +4 more
wiley +1 more source
Abstract Hydrological models are typically calibrated using historical ground‐based streamflow observations to constrain model uncertainty. However, such a calibration strategy can lead to unrealistic model parameters and is not applicable in data‐sparse regions where streamflow observations are unavailable.
Huihui Feng +7 more
wiley +1 more source
Rapid Flood Progress Monitoring in Cropland with NASA SMAP
Research in different agricultural sectors, including in crop loss estimation during flood and yield estimation, substantially rely on inundation information. Spaceborne remote sensing has widely been used in the mapping and monitoring of floods. However,
Md. Shahinoor Rahman +5 more
doaj +1 more source
Seasonal Parameterizations of the Tau-Omega Model Using the ComRAD Ground-Based SMAP Simulator [PDF]
NASA's Soil Moisture Active Passive (SMAP) mission is scheduled for launch in November 2014. In the prelaunch time frame, the SMAP team has focused on improving retrieval algorithms for the various SMAP baseline data products.
Cosh, M. +4 more
core +1 more source
Empirical fitting of forward backscattering models for multitemporal retrieval of soil moisture from radar data at L-band [PDF]
A multitemporal algorithm, originally conceived for the C-band radar aboard the Sentinel-1 satellite, has been updated to retrieve soil moisture from L-band radar data, such as those provided by the National Aeronautics and Space Administration Soil ...
Fascetti, Fabio +2 more
core +2 more sources
SMAP Satellite Microwave Radiometry to Monitor River Flow and Lake Level in the Lower Mekong Basin
Abstract The NASA Soil Moisture Active Passive Mission (SMAP) satellite passive microwave radiometry (PMR) capability is demonstrated for measurements of river stage, river discharge, and lake level with in situ gauging data in the Lower Mekong Basin (LMB).
A. Podkowa +3 more
wiley +1 more source
The SMAP and Copernicus Sentinel 1A/B Microwave Active-Passive High Resolution Surface Soil Moisture Product and Its Applications [PDF]
SMAP project released a new enhanced high-resolution (3km and 1 km) soil moisture active-passive product. This product is obtained by combining the SMAP radiometer data and the Sentinel-1A and -1B Synthetic Aperture Radar (SAR) data.
Chaubell, Mario +7 more
core +1 more source
Abstract Drought significantly affects water resources, agriculture, energy, and ecosystems, revealing enduring socio‐economic vulnerabilities over the centuries. This review synthesizes a century of development and recent advances in drought research (1900–2023), drawing on a bibliometric analysis of over 152,000 peer‐reviewed publications. The review
Amitesh Sabut, Ashok Mishra
wiley +1 more source

