A review of data assimilation of remote sensing and crop models
Timely and accurate estimation of crop yield before harvest to allow crop yields
management decision-making at a regional scale is crucial for national food policy and …
management decision-making at a regional scale is crucial for national food policy and …
Dual polarimetric radar vegetation index for crop growth monitoring using sentinel-1 SAR data
Abstract Sentinel-1 Synthetic Aperture Radar (SAR) data have provided an unprecedented
opportunity for crop monitoring due to its high revisit frequency and wide spatial coverage …
opportunity for crop monitoring due to its high revisit frequency and wide spatial coverage …
[HTML][HTML] The use of synthetic aperture radar technology for crop biomass monitoring: a systematic review
M Parag, R Lottering, K Peerbhay, N Agjee… - … Applications: Society and …, 2024 - Elsevier
In agriculture, crop biomass is a vital indicator of the overall health of an ecosystem. Recent
developments in synthetic aperture radar (SAR) technologies have promoted the application …
developments in synthetic aperture radar (SAR) technologies have promoted the application …
Sentinel-2 satellite imagery for urban land cover classification by optimized random forest classifier
Land cover classification is able to reflect the potential natural and social process in urban
development, providing vital information to stakeholders. Recent solutions on land cover …
development, providing vital information to stakeholders. Recent solutions on land cover …
Recurrent-based regression of Sentinel time series for continuous vegetation monitoring
Dense time series of optical satellite imagery describing vegetation activity provide essential
information for the efficient and regular monitoring of vegetation. Nevertheless, the temporal …
information for the efficient and regular monitoring of vegetation. Nevertheless, the temporal …
Dual-polarimetric descriptors from Sentinel-1 GRD SAR data for crop growth assessment
Accurate and high-resolution spatio-temporal information about crop phenology obtained
from Synthetic Aperture Radar (SAR) data is an essential component for crop management …
from Synthetic Aperture Radar (SAR) data is an essential component for crop management …
Optimal combination of predictors and algorithms for forest above-ground biomass map** from Sentinel and SRTM data
Accurate forest above-ground biomass (AGB) map** is crucial for sustaining forest
management and carbon cycle tracking. The Shuttle Radar Topographic Mission (SRTM) …
management and carbon cycle tracking. The Shuttle Radar Topographic Mission (SRTM) …
[HTML][HTML] The influence of surface canopy water on the relationship between L-band backscatter and biophysical variables in agricultural monitoring
The presence of surface water on the canopy affects radar backscatter. However, its
influence on the relationship between radar backscatter and crop biophysical parameters …
influence on the relationship between radar backscatter and crop biophysical parameters …
Machine learning algorithms for soil moisture estimation using Sentinel-1: Model development and implementation
The present study provided the first-time comprehensive evaluation of 12 advanced
statistical and machine learning (ML) algorithms for the Soil Moisture (SM) estimation from …
statistical and machine learning (ML) algorithms for the Soil Moisture (SM) estimation from …
Crop phenology retrieval via polarimetric SAR decomposition and Random Forest algorithm
Abstract Knowledge of crop phenology assists in making agricultural decisions such as
appropriate irrigation and fertilization applications in order to optimize crop yield. The …
appropriate irrigation and fertilization applications in order to optimize crop yield. The …