A stacked machine learning model for multi-step ahead prediction of lake surface water temperature
Lake surface water temperature is one of the most important physical and ecological indices
of lakes, which has frequently been used as the indicator to evaluate the impact of climate …
of lakes, which has frequently been used as the indicator to evaluate the impact of climate …
[HTML][HTML] Detection of water spread area changes in eutrophic lake using landsat data
Adequate water resource management is essential for fulfilling ecosystem and human
needs. Nainital Lake is a popular lake in Uttarakhand State in India, attracting lakhs of …
needs. Nainital Lake is a popular lake in Uttarakhand State in India, attracting lakhs of …
Integrating remote sensing derived indices and machine learning algorithms for precise extraction of small surface water bodies in the lower Thoubal river watershed …
Surface water resources have witnessed various challenges namely shortage of water
availability, deterioration in water quality and reduction of water bodies due to climate …
availability, deterioration in water quality and reduction of water bodies due to climate …
Unbalanced impacts of nature and nurture factors on the phenology, area and intensity of algal blooms in global large lakes: MODIS observations
Under the influence of climate warming and human activities, many large lakes have
experienced an increase in eutrophication and algal blooms. Although these trends have …
experienced an increase in eutrophication and algal blooms. Although these trends have …
InSAR time-series deformation forecasting surrounding Salt Lake using deep transformer models
The free and open data policy of Sentinel-1 SAR images enables Radar interferometry
(InSAR) to perform time series surface deformation monitoring over large areas. InSAR …
(InSAR) to perform time series surface deformation monitoring over large areas. InSAR …
Geospatial technology for sustainable agricultural water management in india—a systematic review
Effective management of water resources is crucial for sustainable development in any
region. When considering computer-aided analysis for resource management, geospatial …
region. When considering computer-aided analysis for resource management, geospatial …
Quantifying the impacts of opencast mining on vegetation dynamics over eastern India using the long-term Landsat-series satellite dataset
Enhanced spatio-temporal and up-to-date information on vegetation dynamics at various
spatial scales are imperative in understanding the human, biosphere, and atmosphere …
spatial scales are imperative in understanding the human, biosphere, and atmosphere …
[PDF][PDF] Retrieval of land surface temperature from Landsat-8 thermal infrared sensor data
Remote sensing technology can be said to be an eye in the sky which provides detailed
information on various parameters of the Earth, including climatic, vegetative, and forest …
information on various parameters of the Earth, including climatic, vegetative, and forest …
[HTML][HTML] Dynamic monitoring of the largest reservoir in North China based on multi-source satellite remote sensing from 2013 to 2022: Water area, water level, water …
Abstract The Miyun Reservoir, located in the Miyun District of Beijing, China, is the largest
comprehensive water conservancy project in northern China and an important ecological …
comprehensive water conservancy project in northern China and an important ecological …
[HTML][HTML] Investigating lake chlorophyll-a responses to the 2019 European double heatwave using satellite remote sensing
Compounded weather events such as sequential heatwaves are likely to increasingly
impact freshwater ecosystems in the future. Satellite-derived chlorophyll-a concentration …
impact freshwater ecosystems in the future. Satellite-derived chlorophyll-a concentration …