Review of machine learning approaches for biomass and soil moisture retrievals from remote sensing data

I Ali, F Greifeneder, J Stamenkovic, M Neumann… - Remote Sensing, 2015 - mdpi.com
The enormous increase of remote sensing data from airborne and space-borne platforms, as
well as ground measurements has directed the attention of scientists towards new and …

[HTML][HTML] Recent trend and advance of synthetic aperture radar with selected topics

K Ouchi - Remote Sensing, 2013 - mdpi.com
The present article is an introductory paper in this special issue on synthetic aperture radar
(SAR). A short review is presented on the recent trend and development of SAR and related …

Soil moisture retrieval from active spaceborne microwave observations: An evaluation of current techniques

BW Barrett, E Dwyer, P Whelan - Remote Sensing, 2009 - mdpi.com
The importance of land surface-atmosphere interactions, principally the effects of soil
moisture, on hydrological, meteorological, and ecological processes has gained widespread …

Comparative evaluation of land surface temperature images from unmanned aerial vehicle and satellite observation for agricultural areas using in situ data

M Awais, W Li, S Hussain, MJM Cheema, W Li, R Song… - Agriculture, 2022 - mdpi.com
Remotely-sensed data are a source of rich information and are valuable for precision
agricultural tasks such as soil quality, plant disease analysis, crop stress assessment, and …

Estimation of soil moisture applying modified dubois model to Sentinel-1; a regional study from central India

A Singh, K Gaurav, GK Meena, S Kumar - Remote Sensing, 2020 - mdpi.com
Surface soil moisture has a wide application in climate change, agronomy, water resources,
and in many other domain of science and engineering. Measurement of soil moisture at high …

Estimating soil moisture conditions of the greater Changbai Mountains by land surface temperature and NDVI

Y Han, Y Wang, Y Zhao - IEEE Transactions on Geoscience …, 2010 - ieeexplore.ieee.org
Soil moisture is an important indicator of the land surface environment. The combination of
land surface temperature (LST) and normalized difference vegetation index (NDVI) could …

Surface soil moisture retrieval using sentinel-1 SAR data for crop planning in Kosi River Basin of North Bihar

BR Parida, AC Pandey, R Kumar, S Kumar - Agronomy, 2022 - mdpi.com
Surface Soil Moisture (SSM) is a key factor for understanding the physical process between
the land surface and atmosphere. With the advancement of Synthetic Aperture Radar (SAR) …

Analysis of local variation of soil surface parameters with TerraSAR-X radar data over bare agricultural fields

TP Anguela, M Zribi, N Baghdadi… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
The objective of this paper is to analyze the sensitivity of very high resolution TerraSAR-X
radar data taken over bare soils to surface soil parameters and to study the spatial variability …

Satellite remote sensing of surface soil moisture

B Barrett, GP Petropoulos - … sensing of energy fluxes and soil …, 2013 - api.taylorfrancis.com
Soil is arguably the Earth's most valuable nonrenewable resource and undoubtedly the most
biologically diverse part of the biosphere. Roughly half of a soil's volume is composed of …

Evaluation of modified Dubois model for estimating surface soil moisture using dual polarization RISAT-1 C-band SAR data

R Dave, G Kumar, D Kr. Pandey, A Khan… - Geocarto …, 2021 - Taylor & Francis
The present study focuses on the soil moisture estimation using dual polarimetric RISAT-1,
C-band SAR data in HH and HV polarization. The semi empirical approach derived by …