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A review of remote sensing applications for water security: Quantity, quality, and extremes
Water resources are critical to the sustainability of life on Earth. With a growing population
and climate change, it is imperative to assess the security of these resources. Over the past …
and climate change, it is imperative to assess the security of these resources. Over the past …
Remote sensing estimation of water clarity for various lakes in China
Water clarity (expressed as Secchi disk depth (SDD)) reflects light transmission capacity of a
water body and influences growth of aquatic plants, aquatic organisms, and primary …
water body and influences growth of aquatic plants, aquatic organisms, and primary …
Impact of land-use/land-cover and landscape pattern on seasonal in-stream water quality in small watersheds
Abstract Changes in land use land cover (LULC) and landscape pattern in arid areas can
considerably impact water quality in small watersheds. Exploring the associations between …
considerably impact water quality in small watersheds. Exploring the associations between …
Retrieval of water quality parameters from hyperspectral images using a hybrid feedback deep factorization machine model
Y Zhang, L Wu, L Deng, B Ouyang - Water research, 2021 - Elsevier
Environmental protection of water resources is of critical importance to daily life of human
beings. In recent years, monitoring the variation of water quality using remote sensing …
beings. In recent years, monitoring the variation of water quality using remote sensing …
Assessment of surface water quality by using satellite images fusion based on PCA method in the Lake Gala, Turkey
E Batur, D Maktav - IEEE Transactions on Geoscience and …, 2018 - ieeexplore.ieee.org
Monitoring water quality with classical methods is not an easy task. Remote sensing with
wide coverage and multiple temporal monitoring is the best solution for surface water quality …
wide coverage and multiple temporal monitoring is the best solution for surface water quality …
Water clarity map** of global lakes using a novel hybrid deep-learning-based recurrent model with Landsat OLI images
Abstract Information regarding water clarity at large spatiotemporal scales is critical for
understanding comprehensive changes in the water quality and status of ecosystems …
understanding comprehensive changes in the water quality and status of ecosystems …
Deep learning-based efficient drone-borne sensing of cyanobacterial blooms using a clique-based feature extraction approach
Recent advances in remote sensing techniques provide a new horizon for monitoring the
spatiotemporal variations of harmful algal blooms (HABs) using hyperspectral data in inland …
spatiotemporal variations of harmful algal blooms (HABs) using hyperspectral data in inland …
[HTML][HTML] Inter-comparison of methods for chlorophyll-a retrieval: Sentinel-2 time-series analysis in Italian lakes
Different methods are available for retrieving chlorophyll-a (Chl-a) in inland waters from
optical imagery, but there is still a need for an inter-comparison among the products. Such …
optical imagery, but there is still a need for an inter-comparison among the products. Such …
Integrated satellite data fusion and mining for monitoring lake water quality status of the Albufera de Valencia in Spain
Lake eutrophication is a critical issue in the interplay of water supply, environmental
management, and ecosystem conservation. Integrated sensing, monitoring, and modeling …
management, and ecosystem conservation. Integrated sensing, monitoring, and modeling …
The increasing water clarity of Tibetan lakes over last 20 years according to MODIS data
C Liu, L Zhu, J Li, J Wang, J Ju, B Qiao, Q Ma… - Remote Sensing of …, 2021 - Elsevier
Water clarity is a comprehensive indicator of the water environment status. Studies have
shown that in recent years the clarity of inland and ocean water has decreased in many …
shown that in recent years the clarity of inland and ocean water has decreased in many …