Land-use land-cover classification by machine learning classifiers for satellite observations—A review

S Talukdar, P Singha, S Mahato, S Pal, YA Liou… - Remote sensing, 2020 - mdpi.com
Rapid and uncontrolled population growth along with economic and industrial development,
especially in develo** 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

Z Zhao, F Islam, LA Waseem, A Tariq, M Nawaz… - Rangeland ecology & …, 2024 - Elsevier
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 …

[HTML][HTML] Performance evaluation of sentinel-2 and landsat 8 OLI data for land cover/use classification using a comparison between machine learning algorithms

L Ghayour, A Neshat, S Paryani, H Shahabi… - Remote Sensing, 2021 - mdpi.com
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 …

Modelling the impacts of land use/land cover changing pattern on urban thermal characteristics in Kuwait

AE AlDousari, AA Kafy, M Saha, MA Fattah… - Sustainable Cities and …, 2022 - Elsevier
Rapid urbanization owing to population growth and economic development has made
thermal environment-related studies increasingly prominent. This study aims to monitor and …

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 …

Semi-automatic classification for rapid delineation of the geohazard-prone areas using Sentinel-2 satellite imagery

K Tempa, KR Aryal - SN Applied Sciences, 2022 - Springer
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 …

[HTML][HTML] Sentinel-2 data for land use map**: Comparing different supervised classifications in semi-arid areas

K Abida, M Barbouchi, K Boudabbous, W Toukabri… - Agriculture, 2022 - mdpi.com
Map** 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 …

Spatial modeling of erosion hotspots using GIS-RUSLE interface in Omo-Gibe river basin, Southern Ethiopia: implication for soil and water conservation planning

R Girma, E Gebre - Environmental Systems Research, 2020 - Springer
Soil degradation due to soil erosion is one of the major environmental threats in develo**
countries. In resource limited conditions, computing the spatial distribution of soil erosion …

Utilizing sentinel-2 satellite imagery for LULC and NDVI change dynamics for Gelephu, Bhutan

K Tempa, M Ilunga, A Agarwal, Tashi - Applied Sciences, 2024 - mdpi.com
Gelephu, located in the Himalayan region, has undergone significant development activities
due to its suitable topography and geographic location. This has led to rapid urbanization in …

Modelling landuse dynamics of ecologically sensitive peri-urban space by incorporating an ANN cellular automata-Markov model for Siliguri urban agglomeration …

S Dolui, S Sarkar - Modeling Earth Systems and Environment, 2024 - Springer
Numerous cities throughout the world are experiencing tremendous population growth in
their peripheral areas, resulting in a progressive modification of landscapes and raising …