Assessing the spatiotemporal variability of SMAP soil moisture accuracy in a deciduous forest region

M Abdelkader, M Temimi, A Colliander, MH Cosh… - Remote Sensing, 2022 - mdpi.com
The goal of this study is to assess the temporal variability of the performance of the Soil
Moisture Active Passive, SMAP, soil moisture retrievals throughout the seasons as surface …

Microwave Emission Model for Layered Vegetation (MEMLV): An Exemplary Study for Coniferous Forests from P-to Ka-Band

Y Zhou, M Schwank, M Kurum, D Houtz… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
A physics-based microwave emission model for layered vegetation (MEMLV) is developed
to simulate the vegetation optical depth (VOD) and scattering albedo of coniferous forests …

A 3-D Full-Wave Model to Study the Impact of Soybean Components and Structure on L-Band Backscatter

K Niknam, J Judge, AK Roberts… - arXiv preprint arXiv …, 2024 - arxiv.org
Microwave remote sensing offers a powerful tool for monitoring the growth of short, dense
vegetation like soybean. As the plants mature, changes in their biomass and 3-D structure …

Modelling Scattering Albedo of Trees from 1 To 37 GHZ and Its Application to Vod Retrieval

Y Zhou, M Schwank, M Kurum… - IGARSS 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
This study focuses on modelling the scattering albedo of a vegetation canopy, which can be
used in vegetation opacity depth (VOD) retrieval, over a wide frequency range (1-37 GHz). In …