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[HTML][HTML] A systematic review on advancements in remote sensing for assessing and monitoring land use and land cover changes impacts on surface water resources …
This study aimed to provide a systematic overview of the progress made in utilizing remote
sensing for assessing the impacts of land use and land cover (LULC) changes on water …
sensing for assessing the impacts of land use and land cover (LULC) changes on water …
Water quality assessment and monitoring in Pakistan: A comprehensive review
Water quality has been a major problem in Pakistan owing to a mix of factors such as
population expansion, industrial units in urban areas, and agricultural activities. The …
population expansion, industrial units in urban areas, and agricultural activities. The …
Wetland identification through remote sensing: insights into wetness, greenness, turbidity, temperature, and changing landscapes
Wetlands are important in many ways, including hydrological cycles, ecosystem diversity,
climate change, and economic activity. Despite the Ramsar Convention's awareness …
climate change, and economic activity. Despite the Ramsar Convention's awareness …
[HTML][HTML] Appraisal of surface water quality of nile river using water quality indices, spectral signature and multivariate modeling
Surface water quality management is an important facet of the effort to meet increasing
demand for water. For that purpose, water quality must be monitored and assessed via the …
demand for water. For that purpose, water quality must be monitored and assessed via the …
Identification of time-varying wetlands neglected in Pakistan through remote sensing techniques
Abstract Aside from Ramsar Convention awareness programs, the concept of wetlands is
mostly ignored in develo** countries. Wetland ecosystems are essential to hydrological …
mostly ignored in develo** countries. Wetland ecosystems are essential to hydrological …
Some respite for India's dirtiest river? Examining the Yamuna's water quality at Delhi during the COVID-19 lockdown period
The Yamuna's stretch within Delhi is considered as the dirtiest river reach in India and
despite numerous restoration plans, pollution levels have risen unabated. However, the …
despite numerous restoration plans, pollution levels have risen unabated. However, the …
[HTML][HTML] Tracking changes in chlorophyll-a concentration and turbidity in Nansi Lake using Sentinel-2 imagery: A novel machine learning approach
J Zhang, F Meng, P Fu, T **g, J Xu, X Yang - Ecological Informatics, 2024 - Elsevier
This study represents the first application of Sentinel-2 remote sensing imagery and model
fusion techniques to assess the chlorophyll-a (Chla) concentration and turbidity in Nansi …
fusion techniques to assess the chlorophyll-a (Chla) concentration and turbidity in Nansi …
[HTML][HTML] Evaluation of sentinel-2 and landsat 8 images for estimating chlorophyll-a concentrations in lake Chad, Africa
WG Buma, SI Lee - Remote Sensing, 2020 - mdpi.com
Much effort has been applied in estimating the concentrations of chlorophyll-a (Chl a) in
lakes. The optical complexity and lack of in situ data complicate estimating Chl a in such …
lakes. The optical complexity and lack of in situ data complicate estimating Chl a in such …
A new approach to monitor water quality in the Menor sea (Spain) using satellite data and machine learning methods
The Menor sea is a coastal lagoon declared by the European Union as a sensitive area to
eutrophication due to human activities. To control the deterioration of its water quality, it is …
eutrophication due to human activities. To control the deterioration of its water quality, it is …
[HTML][HTML] Use of hyperspectral reflectance and water quality indices to assess groundwater quality for drinking in arid regions, Saudi Arabia
Combining hydrogeochemical characterization and a hyperspectral reflectance
measurement can provide knowledge for groundwater security under different conditions. In …
measurement can provide knowledge for groundwater security under different conditions. In …