A review of remote sensing applications for water security: Quantity, quality, and extremes

I Chawla, L Karthikeyan, AK Mishra - Journal of Hydrology, 2020 - Elsevier
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 …

Remote sensing estimation of water clarity for various lakes in China

Y Zhang, Y Zhang, K Shi, Y Zhou, N Li - Water research, 2021 - Elsevier
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 …

Impact of land-use/land-cover and landscape pattern on seasonal in-stream water quality in small watersheds

F Zhang, Y Chen, W Wang, CY Jim, Z Zhang… - Journal of Cleaner …, 2022 - Elsevier
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 …

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 …

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 …

Water clarity map** of global lakes using a novel hybrid deep-learning-based recurrent model with Landsat OLI images

Y He, Z Lu, W Wang, D Zhang, Y Zhang, B Qin, K Shi… - Water Research, 2022 - Elsevier
Abstract Information regarding water clarity at large spatiotemporal scales is critical for
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

J Shin, G Lee, TH Kim, KH Cho, SM Hong… - Science of The Total …, 2024 - Elsevier
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 …

[HTML][HTML] Inter-comparison of methods for chlorophyll-a retrieval: Sentinel-2 time-series analysis in Italian lakes

M Niroumand-Jadidi, F Bovolo, L Bruzzone, P Gege - Remote Sensing, 2021 - mdpi.com
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 …

Integrated satellite data fusion and mining for monitoring lake water quality status of the Albufera de Valencia in Spain

C Doña, NB Chang, V Caselles, JM Sánchez… - Journal of environmental …, 2015 - Elsevier
Lake eutrophication is a critical issue in the interplay of water supply, environmental
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 …