Earth observation data-driven cropland soil monitoring: A review
We conducted a systematic review and inventory of recent research achievements related to
spaceborne and aerial Earth Observation (EO) data-driven monitoring in support of soil …
spaceborne and aerial Earth Observation (EO) data-driven monitoring in support of soil …
Monitoring war‐generated environmental security using remote sensing: A review
The negative impact humans have on the environment directly affects the environmental
security. Over the years, it has been proven that wars make drastic and sometimes …
security. Over the years, it has been proven that wars make drastic and sometimes …
Use of remote sensing to evaluate the effects of environmental factors on soil salinity in a semi-arid area
FP Salcedo, PP Cutillas, JJA Cabañero… - Science of The Total …, 2022 - Elsevier
The global water crisis, driven by water scarcity and water quality deterioration, is expected
to continue and intensify in dry and overpopulated areas, and will play a critical role in …
to continue and intensify in dry and overpopulated areas, and will play a critical role in …
Fusion methods and multi-classifiers to improve land cover estimation using remote sensing analysis
Adopting a low spatial resolution remote sensing imagery to get an accurate estimation of
Land Use Land Cover is a difficult task to perform. Image fusion plays a big role to map the …
Land Use Land Cover is a difficult task to perform. Image fusion plays a big role to map the …
Monitoring the variations of soil salinity in a palm grove in Southern Algeria
Soil salinity is considered the most serious socio-economic and environmental problem in
arid and semi-arid regions. This study was done to estimate the soil salinity and monitor the …
arid and semi-arid regions. This study was done to estimate the soil salinity and monitor the …
[PDF][PDF] Adopting gram-schmidt and brovey methods for estimating land use and land cover using remote sensing and satellite images
ABSTRACT The production of Land Use and Land Cover thematic maps using remote
sensing data is one of the things that must be dealt with carefully to obtain accurate results …
sensing data is one of the things that must be dealt with carefully to obtain accurate results …
Automatic feature extraction and matching modelling for highly noise near-equatorial satellite images
Feature extraction plays an important role in pattern recognition because band-to-band
registration and geometric correction from different satellite images have linear image …
registration and geometric correction from different satellite images have linear image …
[PDF][PDF] Hyperspectral Imagery for Crop yield estimation in Precision Agriculture using Machine Learning Approaches: A review
Crop yield estimation is one of the most significant issues for agricultural management, and
one of the areas that precision farming techniques can offer the greatest benefit. Crop yield …
one of the areas that precision farming techniques can offer the greatest benefit. Crop yield …
Applying support vector machine algorithm on multispectral remotely sensed satellite image for geospatial analysis
In this research support vector machine (SVM) method apply to classify the satellite image
and produce land use and land cover (LULC) map. The used data is the multispectral …
and produce land use and land cover (LULC) map. The used data is the multispectral …
Quantitative assessment of soil salinity using remote sensing data based on the artificial neural network, case study: Sharif Abad Plain, Central Iran
V Habibi, H Ahmadi, M Jafari, A Moeini - Modeling Earth Systems and …, 2021 - Springer
Land salinization is one of the most important factors in reducing the soil quality of
agricultural land. Accordingly, these regions affected agricultural production and ecological …
agricultural land. Accordingly, these regions affected agricultural production and ecological …