Research on a multiparameter water quality prediction method based on a hybrid model
Z Zheng, H Ding, Z Weng, L Wang - Ecological Informatics, 2023 - Elsevier
Watershed water quality monitoring is of great significance in the protection and
management of water environments. Because existing water quality prediction algorithms …
management of water environments. Because existing water quality prediction algorithms …
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 …
Trends and applications of google earth engine in remote sensing and earth science research: a bibliometric analysis using scopus database
Since its official establishment in 2010, Google Earth Engine (GEE) has developed rapidly
and has played a significant role in the global remote sensing community. A bibliometric …
and has played a significant role in the global remote sensing community. A bibliometric …
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 …
Evaluation and mapping of predicted future land use changes using hybrid models in a coastal area
Future prediction modeling of land use/land cover (LULC) is crucial for coastal regions due
to unique challenges and vulnerabilities associated with these areas. This research aims to …
to unique challenges and vulnerabilities associated with these areas. This research aims to …
Monitoring of large-scale forest restoration: Evidence of vegetation recovery and reversing chronic ecosystem degradation in the mountain region of Pakistan
Global ecosystem restoration efforts are aimed at climate change mitigation. In response to
the challenge of global warming and supporting local adaptation, the Billion Tree Tsunami …
the challenge of global warming and supporting local adaptation, the Billion Tree Tsunami …
Probabilistic coastal wetland mapping with integration of optical, SAR and hydro-geomorphic data through stacking ensemble machine learning model
The present study focuses on preparing the wetland map using earth observation data and
applying a novel ensemble model. Eight advanced machine learning algorithms were …
applying a novel ensemble model. Eight advanced machine learning algorithms were …
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 …
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 …
[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 …