[HTML][HTML] Land-use land-cover classification by machine learning classifiers for satellite observations—A review
Rapid and uncontrolled population growth along with economic and industrial development,
especially in developing countries during the late twentieth and early twenty-first centuries …
especially in developing countries during the late twentieth and early twenty-first centuries …
Comparison of three machine learning algorithms using google earth engine for land use land cover classification
Abstract Google Earth Engine (GEE) is presently the most innovative international open-
source platform for the advanced-level analysis of geospatial big data. In this study, we used …
source platform for the advanced-level analysis of geospatial big data. In this study, we used …
Modelling the impacts of land use/land cover changing pattern on urban thermal characteristics in Kuwait
Rapid urbanization owing to population growth and economic development has made
thermal environment-related studies increasingly prominent. This study aims to monitor and …
thermal environment-related studies increasingly prominent. This study aims to monitor and …
[HTML][HTML] Performance evaluation of sentinel-2 and landsat 8 OLI data for land cover/use classification using a comparison between machine learning algorithms
With the development of remote sensing algorithms and increased access to satellite data,
generating up-to-date, accurate land use/land cover (LULC) maps has become increasingly …
generating up-to-date, accurate land use/land cover (LULC) maps has become increasingly …
A comparative study of remote sensing classification methods for monitoring and assessing desert vegetation using a UAV-based multispectral sensor
ZM Al-Ali, MM Abdullah, NB Asadalla… - Environmental monitoring …, 2020 - Springer
Restoration programs require long-term monitoring and assessment of vegetation growth
and productivity. Remote sensing technology is considered to be one of the most powerful …
and productivity. Remote sensing technology is considered to be one of the most powerful …
Combining logistic regression-based hybrid optimized machine learning algorithms with sensitivity analysis to achieve robust landslide susceptibility mapping
Landslides and other catastrophic environmental disasters pose a significant danger to
environmental, infrastructure, and people's lives. This research aimed to construct four …
environmental, infrastructure, and people's lives. This research aimed to construct four …
[HTML][HTML] Spatial modeling of erosion hotspots using GIS-RUSLE interface in Omo-Gibe river basin, Southern Ethiopia: implication for soil and water conservation …
R Girma, E Gebre - Environmental Systems Research, 2020 - Springer
Soil degradation due to soil erosion is one of the major environmental threats in developing
countries. In resource limited conditions, computing the spatial distribution of soil erosion …
countries. In resource limited conditions, computing the spatial distribution of soil erosion …
[HTML][HTML] Sentinel-2 data for land use mapping: Comparing different supervised classifications in semi-arid areas
K Abida, M Barbouchi, K Boudabbous, W Toukabri… - Agriculture, 2022 - mdpi.com
Mapping and monitoring land use (LU) changes is one of the most effective ways to
understand and manage land transformation. The main objectives of this study were to …
understand and manage land transformation. The main objectives of this study were to …
[HTML][HTML] Semi-automatic classification for rapid delineation of the geohazard-prone areas using Sentinel-2 satellite imagery
The study of land use land cover has become increasingly significant with the availability of
remote sensing data. The main objective of this study is to delineate geohazard-prone areas …
remote sensing data. The main objective of this study is to delineate geohazard-prone areas …
[HTML][HTML] Carbon emissions from oil palm induced forest and peatland conversion in sabah and Sarawak, Malaysia
WS Wan Mohd Jaafar, NFS Said, KN Abdul Maulud… - Forests, 2020 - mdpi.com
The palm oil industry is one of the major producers of vegetable oil in the tropics. Palm oil is
used extensively for the manufacture of a wide variety of products and its production is …
used extensively for the manufacture of a wide variety of products and its production is …