[HTML][HTML] Research advances of SAR remote sensing for agriculture applications: A review
C Liu, ZX Chen, S Yun, J Chen, T Hasi… - Journal of integrative …, 2019 - Elsevier
Synthetic aperture radar (SAR) is an effective and important technique in monitoring crop
and other agricultural targets because its quality does not depend on weather conditions …
and other agricultural targets because its quality does not depend on weather conditions …
Derivation of biomass information for semi-arid areas using remote-sensing data
The impact of changes in vegetation biomass on the global ecosystem and the future
evolution of possible climate change is of high relevance. Above-ground biomass (AGB) …
evolution of possible climate change is of high relevance. Above-ground biomass (AGB) …
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 …
[HTML][HTML] A review of terrestrial carbon assessment methods using geo-spatial technologies with emphasis on arid lands
Geo-spatial technologies (ie, remote sensing (RS) and Geographic Information Systems
(GIS)) offer the means to enable a rapid assessment of terrestrial carbon stock (CS) over …
(GIS)) offer the means to enable a rapid assessment of terrestrial carbon stock (CS) over …
Using multi-polarization C-and L-band synthetic aperture radar to estimate biomass and soil moisture of wheat fields
M Hosseini, H McNairn - International Journal of Applied Earth Observation …, 2017 - Elsevier
Biomass and soil moisture are two important parameters for agricultural crop monitoring and
yield estimation. In this study, the Water Cloud Model (WCM) was coupled with the Ulaby …
yield estimation. In this study, the Water Cloud Model (WCM) was coupled with the Ulaby …
A radiative transfer model-based method for the estimation of grassland aboveground biomass
This paper presents a novel method to derive grassland aboveground biomass (AGB) based
on the PROSAILH (PROSPECT+ SAILH) radiative transfer model (RTM). Two variables, leaf …
on the PROSAILH (PROSPECT+ SAILH) radiative transfer model (RTM). Two variables, leaf …
The sensitivity of RADARSAT-2 polarimetric SAR data to corn and soybean leaf area index
In this study, quadrature-polarization (quad-pol) RADARSAT-2 data at steep (25o) and
shallow (40o) incidence angles were acquired during the 2008 season, imaging 13 corn …
shallow (40o) incidence angles were acquired during the 2008 season, imaging 13 corn …
[HTML][HTML] A synergistic methodology for soil moisture estimation in an alpine prairie using radar and optical satellite data
This paper presents a microwave/optical synergistic methodology to retrieve soil moisture in
an alpine prairie. The methodology adequately represents the scattering behavior of the …
an alpine prairie. The methodology adequately represents the scattering behavior of the …
Synthetic aperture radar and optical satellite data for estimating the biomass of corn
M Hosseini, H McNairn, S Mitchell… - International Journal of …, 2019 - Elsevier
Above ground biomass is an important crop biophysical parameter for monitoring crop
condition and determining crop productivity, in particular if linked with phenological growth …
condition and determining crop productivity, in particular if linked with phenological growth …
[HTML][HTML] Maize leaf area index retrieval from synthetic quad pol SAR time series using the water cloud model
In order to monitor crop growth along the season with synthetic aperture radar (SAR)
images, radiative transfer models were developed to retrieve key biophysical parameters …
images, radiative transfer models were developed to retrieve key biophysical parameters …