[HTML][HTML] Fifty years of Landsat science and impacts
Since 1972, the Landsat program has been continually monitoring the Earth, to now provide
50 years of digital, multispectral, medium spatial resolution observations. Over this time …
50 years of digital, multispectral, medium spatial resolution observations. Over this time …
Socio-ecological well-being perspectives of wetland loss scenario: A review
M Let, S Pal - Journal of Environmental Management, 2023 - Elsevier
Previous original research focused on wetland loss and finding out its drivers across
different regional units of the world. A few reports also tried to account world's condition on …
different regional units of the world. A few reports also tried to account world's condition on …
Global declines in human‐driven mangrove loss
Global mangrove loss has been attributed primarily to human activity. Anthropogenic loss
hotspots across Southeast Asia and around the world have characterized the ecosystem as …
hotspots across Southeast Asia and around the world have characterized the ecosystem as …
Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3
Constructing multi-source satellite-derived water quality (WQ) products in inland and
nearshore coastal waters from the past, present, and future missions is a long-standing …
nearshore coastal waters from the past, present, and future missions is a long-standing …
The large footprint of small-scale artisanal gold mining in Ghana
Gold mining has played a significant role in Ghana's economy for centuries. Regulation of
this industry has varied over time and while industrial mining is prevalent in the country, the …
this industry has varied over time and while industrial mining is prevalent in the country, the …
Wetland changes in the Amur River Basin: Differing trends and proximate causes on the Chinese and Russian sides
Abstract According to the United Nations Sustainable Development Goals (SDGs),
understanding the extent of wetlands, their change trends and the proximate causes is …
understanding the extent of wetlands, their change trends and the proximate causes is …
Efficient data-driven machine learning models for water quality prediction
Water is a valuable, necessary and unfortunately rare commodity in both develo** and
developed countries all over the world. It is undoubtedly the most important natural resource …
developed countries all over the world. It is undoubtedly the most important natural resource …
Synergistic use of earth observation driven techniques to support the implementation of water framework directive in europe: a review
The development of a sustainable water quality monitoring system at national scale remains
a big challenge until today, acting as a hindrance for the efficient implementation of the …
a big challenge until today, acting as a hindrance for the efficient implementation of the …
Deep semantic segmentation of mangroves in Brazil combining spatial, temporal, and polarization data from Sentinel-1 time series
GM de Souza Moreno, OA de Carvalho Júnior… - Ocean & Coastal …, 2023 - Elsevier
The automatic and accurate detection of mangroves from remote sensing data is essential to
assist in conservation strategies and decision-making that minimize possible environmental …
assist in conservation strategies and decision-making that minimize possible environmental …
[HTML][HTML] Exploring the long-term dynamics of detailed wetland types and their driving forces in coastal metropolitan areas from 1990 to 2020
K Peng, W Jiang, P Hou, T Cui, Z Wu, B Si - International Journal of Applied …, 2024 - Elsevier
Abstract The Guangxi Beibu Gulf Economic Zone (GBGEZ) and Guangdong–Hong Kong–
Macao Greater Bay Area (GBA) have rich wetlands. However, long-term maps with detailed …
Macao Greater Bay Area (GBA) have rich wetlands. However, long-term maps with detailed …