Remote sensing reveals how armed conflict regressed woody vegetation cover and ecosystem restoration efforts in Tigray (Ethiopia)
In recent years, armed conflicts are globally on the rise, causing drastic human and
environmental harm. The Tigray war in Ethiopia is one of the recent violent conflicts that has …
environmental harm. The Tigray war in Ethiopia is one of the recent violent conflicts that has …
Land use and land cover changes in Kabul, Afghanistan focusing on the drivers impacting urban dynamics during five decades 1973–2020
This study delves into the patterns of urban expansion in Kabul, using Landsat and Sentinel
satellite imagery as primary tools for analysis. We classified land use and land cover (LULC) …
satellite imagery as primary tools for analysis. We classified land use and land cover (LULC) …
Remote sensing-based land use land cover classification for the Heuningnes Catchment, Cape Agulhas, South Africa
The primary objective of this study was to evaluate the effectiveness of Sentinel 2 and
machine-learning technique for classifying seasonal land use land cover (LULC) changes …
machine-learning technique for classifying seasonal land use land cover (LULC) changes …
Enhancing Crop Classification Accuracy through Synthetic SAR-Optical Data Generation Using Deep Learning
Crop classification using remote sensing data has emerged as a prominent research area in
recent decades. Studies have demonstrated that fusing synthetic aperture radar (SAR) and …
recent decades. Studies have demonstrated that fusing synthetic aperture radar (SAR) and …
A novel spatial-aware deep learning approach for exploring the environmental context of terrorist attacks and armed conflicts
Z Zhao, K Liu, M Wang - International Journal of Disaster Risk Reduction, 2024 - Elsevier
The quantitative assessment of terrorist attacks and armed conflicts (TAACs) is a crucial
component of global public safety research and is vital for societal stability and national …
component of global public safety research and is vital for societal stability and national …
[HTML][HTML] An integrated GEE and machine learning framework for detecting ecological stability under land use/land cover changes
A Amindin, N Siamian, N Kariminejad, JJ Clague… - Global Ecology and …, 2024 - Elsevier
Ecological stability (ES) is recognized as a crucial factor for sustainable development at
global and regional scales. However, the importance of this factor was not considered …
global and regional scales. However, the importance of this factor was not considered …
Mapping oil palm plantations and their implications on forest and great ape habitat loss in Central Africa
Oil palm (Elaeis guineensis) cultivation in Central Africa (CA) has become important
because of the increased global demand for vegetable oils. The region is highly suitable for …
because of the increased global demand for vegetable oils. The region is highly suitable for …
Exploring the Coupling Relationship and Driving Factors of Land Use Conflicts and Ecosystem Services Supply–Demand Balances in Different Main Functional Areas …
W Li, J Kang, Y Wang - Land Degradation & Development, 2024 - Wiley Online Library
Conflicts between different types of land use, driven by rapid urbanization, are altering
ecosystem services supply–demand balances (ESDB), and the reduction of ESDB will …
ecosystem services supply–demand balances (ESDB), and the reduction of ESDB will …
Comparison of machine and deep learning algorithms using Google Earth Engine and Python for land classifications
Classifying land use and land cover (LULC) is essential for various environmental
monitoring and geospatial analysis applications. This research focuses on land …
monitoring and geospatial analysis applications. This research focuses on land …
Pre-trained regional models for extracting buildings from high resolution satellite imagery to support public health initiatives
C Alexander, A McKay, K Bhatt… - Remote Sensing …, 2024 - Elsevier
Up-to-date building locations provide a pivotal layer of information for public health
initiatives and emergency responses to identify and reach a target population. Using pre …
initiatives and emergency responses to identify and reach a target population. Using pre …