Strategies to measure soil moisture using traditional methods, automated sensors, remote sensing, and machine learning techniques: review, bibliometric analysis …
This review provides a detailed synthesis of various in-situ, remote sensing, and machine
learning approaches to estimate soil moisture. Bibliometric analysis of the published …
learning approaches to estimate soil moisture. Bibliometric analysis of the published …
Sensing technologies for characterizing and monitoring soil functions: A review
Soils perform multiple functions that contribute to human survival and well-being. However,
we often focus on soil to produce food and fiber and unsustainable management has …
we often focus on soil to produce food and fiber and unsustainable management has …
Significance of dual polarimetric synthetic aperture radar in biomass retrieval: An attempt on Sentinel-1
S Periasamy - Remote Sensing of Environment, 2018 - Elsevier
The study investigates the suitability of Sentinel-1 data product of C-band frequency (5.36
GHz) in the estimation of terrestrial biomass. The experiment was carried out in the …
GHz) in the estimation of terrestrial biomass. The experiment was carried out in the …
Evaluation of backscattering models and support vector machine for the retrieval of bare soil moisture from Sentinel-1 data
The main objective of this work was to retrieve surface soil moisture (SSM) by using
scattering models and a support vector machine (SVM) technique driven by backscattering …
scattering models and a support vector machine (SVM) technique driven by backscattering …
A comprehensive validation of the SMAP Enhanced Level-3 Soil Moisture product using ground measurements over varied climates and landscapes
This study presents a comprehensive validation of the Soil Moisture Active Passive (SMAP)
mission Enhanced Level-3 radiometer soil moisture (SM) product (Version 2) over 3 years …
mission Enhanced Level-3 radiometer soil moisture (SM) product (Version 2) over 3 years …
Soil moisture content from GNSS reflectometry using dielectric permittivity from fresnel reflection coefficients
Global Navigation Satellite Systems-Reflectometry (GNSS-R) has shown unprecedented
advantages to sense Soil Moisture Content (SMC) with high spatial and temporal coverage …
advantages to sense Soil Moisture Content (SMC) with high spatial and temporal coverage …
Using SAR-derived vegetation descriptors in a water cloud model to improve soil moisture retrieval
J Li, S Wang - Remote Sensing, 2018 - mdpi.com
The water cloud model (WCM) is a widely used radar backscatter model applied to SAR
images to retrieve soil moisture over vegetated areas. The WCM needs vegetation …
images to retrieve soil moisture over vegetated areas. The WCM needs vegetation …
ALOS-2 and Sentinel-1 SAR data sensitivity analysis to surface soil moisture over bare and vegetated agricultural fields
Abstract Surface Soil Moisture (SSM) is one of the important variables that help to
understand the physical process between the land and the atmosphere. Thus, temporal and …
understand the physical process between the land and the atmosphere. Thus, temporal and …
A novel approach to quantify soil salinity by simulating the dielectric loss of SAR in three-dimensional density space
S Periasamy, KP Ravi - Remote Sensing of Environment, 2020 - Elsevier
Soil salinity is one of the crucial factors which undermines agricultural production in the semi-
arid region. The study was attempted for the Vellore district, one of the worst-hit semi-regions …
arid region. The study was attempted for the Vellore district, one of the worst-hit semi-regions …
Vegetation and soil moisture inversion from SAR closure phases: First experiments and results
The inversion of soil moisture from Synthetic Aperture Radar (SAR) closure phases is
intrinsically plagued by ambiguities that affect the moisture order. This work shows a …
intrinsically plagued by ambiguities that affect the moisture order. This work shows a …