Learning Visual Patterns in Remote Sensing: An Overview of Agricultural Applications
MP da Silva, MAR Schaefer, HN Oliveira… - 2024 37th SIBGRAPI …, 2024 - ieeexplore.ieee.org
Deep Learning based on Remote Sensing has become a powerful tool to increase
agricultural productivity, mitigate the effects of climate change, and monitor deforestation …
agricultural productivity, mitigate the effects of climate change, and monitor deforestation …
LULC change detection analysis of Chamarajanagar district, Karnataka state, India using CNN-based deep learning method
HN Mahendra, V Pushpalatha… - Advances in Space …, 2024 - Elsevier
The change detection analysis of land use land cover (LULC) is an important task in several
fields and applications such as environmental monitoring, urban planning, disaster …
fields and applications such as environmental monitoring, urban planning, disaster …
A Graph-Transformer method for landslide susceptibility mapping
Q Zhang, Y He, Y Zhang, J Lu, L Zhang… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Landslide susceptibility mapping (LSM) is of great significance for regional land resource
planning and disaster prevention and reduction. The machine learning (ML) method has …
planning and disaster prevention and reduction. The machine learning (ML) method has …
[HTML][HTML] A comparative analysis of PlanetScope 4-band and 8-band imageries for land use land cover classification
Earth-observing satellites have become essential in comprehending human impacts on the
landscape. Satellite-based imagery is indispensable for mapping Earth's features, managing …
landscape. Satellite-based imagery is indispensable for mapping Earth's features, managing …
Flood risk assessment in Ténès city (Algeria) using land cover based on machine learning methods and Pléiades tri-stereo images
Z Narimane, N Simona, MM Kamel - Advances in Space Research, 2024 - Elsevier
On a global scale, a considerable amount of life, property, and resources are lost because of
the increasing frequency and severity of flooding occurrences. This necessitates the …
the increasing frequency and severity of flooding occurrences. This necessitates the …
From Tradition to Transformation: Deep and Self-Supervised Learning Approaches for Remote Sensing in Agriculture and Environmental Change
M Pinto da Silva, S PLP Correa… - Nunes, Ian and dos …, 2024 - papers.ssrn.com
Abstract Deep Learning based on Remote Sensing has become a powerful tool to increase
agricultural productivity, mitigate the effects of climate change, and monitor deforestation …
agricultural productivity, mitigate the effects of climate change, and monitor deforestation …