Wetland degradation and its impacts on livelihoods and sustainable development goals: An overview
Wetlands, vital ecosystems that support 40% of the world's species and serve as nature's
water filters, are disappearing three times faster than forests. While global research …
water filters, are disappearing three times faster than forests. While global research …
Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data
Wetlands provide vital ecological and socioeconomic services but face escalating pressures
worldwide. This study undertakes an integrated spatiotemporal assessment of the …
worldwide. This study undertakes an integrated spatiotemporal assessment of the …
Urbanization-led land cover change impacts terrestrial carbon storage capacity: a high-resolution remote sensing-based nation-wide assessment in Pakistan (1990 …
While carbon sequestration is significant to achieve the net zero and plays an important role
in climate change mitigation, urbanization-led land use land cover (LULC) changes are …
in climate change mitigation, urbanization-led land use land cover (LULC) changes are …
MultiRS flood mapper: a google earth engine application for water extent mapping with multimodal remote sensing and quantile-based postprocessing
There is a growing interest in developing GEE applications to improve the reusability of GEE
scripts and reduce manual effort for water-body extraction. Right now, there is a need for …
scripts and reduce manual effort for water-body extraction. Right now, there is a need for …
Monitoring the Spatio-Temporal Distribution of Soil Salinity Using Google Earth Engine for Detecting the Saline Areas Susceptible to Salt Storm Occurrence
M Kazemi Garajeh - Pollutants, 2024 - mdpi.com
Recent droughts worldwide have significantly affected ecosystems in various regions.
Among these affected areas, the Lake Urmia Basin (LUB) has experienced substantial …
Among these affected areas, the Lake Urmia Basin (LUB) has experienced substantial …
[HTML][HTML] Random forest-based analysis of land cover/land use LCLU dynamics associated with meteorological droughts in the desert ecosystem of Pakistan
Dry land ecosystems extend over 40% of the Earth, supporting an estimated 3 billion human
population. Thus, quantifying LCLU changes in such ecosystems is essential for achieving …
population. Thus, quantifying LCLU changes in such ecosystems is essential for achieving …
[HTML][HTML] A novel space–spectrum array tile probability random-forest model enhances LULC mapping accuracy on Google Earth Engine: An experiment in Ordos …
F Guo, L Fan, C Zhang, S Xue - Ecological Informatics, 2024 - Elsevier
The rapid renewal of land use and land cover (LULC) maps using remote-sensing
technologies constitutes a sine qua non for judicious land resource management at both …
technologies constitutes a sine qua non for judicious land resource management at both …
[HTML][HTML] Hybrid model-based prediction of biomass density in case studies in Turkiye
Growing global concern over natural resource degradation due to urbanisation and
population growth emphasizes the critical need for innovative solutions. Addressing this …
population growth emphasizes the critical need for innovative solutions. Addressing this …
[HTML][HTML] Evaluation of machine learning algorithm capability for Bosten Lake Wetland classification based on multi-temporal Sentinel-2 data
F Xia, G Lv - Ecological Informatics, 2024 - Elsevier
As crucial carbon sinks within terrestrial ecosystems, wetlands have been extensively
studied in terms of spatio-temporal distributions. However, existing methods for classifying …
studied in terms of spatio-temporal distributions. However, existing methods for classifying …
[HTML][HTML] Climate change effects on animal presence in the Massaciuccoli Lake basin
Big-data mining approaches based on Artificial Intelligence models can help forecast
biodiversity changes before they happen. These approaches can predict macroscopic …
biodiversity changes before they happen. These approaches can predict macroscopic …