A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes

Z Cao, R Ma, H Duan, N Pahlevan, J Melack… - Remote Sensing of …, 2020 - Elsevier
Abstract Landsat-8 Operational Land Imager (OLI) provides an opportunity to map
chlorophyll-a (Chla) in lake waters at spatial scales not feasible with ocean color missions …

Regional differences of lake evolution across China during 1960s–2015 and its natural and anthropogenic causes

G Zhang, T Yao, W Chen, G Zheng, CK Shum… - Remote sensing of …, 2019 - Elsevier
Lakes are sensitive indicators of anthropogenic climate change and also respond to direct
human activities. Yet, long-term lake inventories and quantitative evaluation of the factors …

[HTML][HTML] Changes of water clarity in large lakes and reservoirs across China observed from long-term MODIS

S Wang, J Li, B Zhang, Z Lee, E Spyrakos… - Remote Sensing of …, 2020 - Elsevier
Water clarity is a well-established first-order indicator of water quality and has been used
globally by water regulators in their monitoring and management programs. Assessments of …

A holistic assessment of water quality condition and spatiotemporal patterns in impounded lakes along the eastern route of China's South-to-North water diversion …

X Qu, Y Chen, H Liu, W Xia, Y Lu, DD Gang, LS Lin - Water Research, 2020 - Elsevier
Water quality is one of the key determinants for assessing effectiveness and success of
water diversions, but rarely studied at a spatial scale that crosses large river basins. Multiple …

Application of remote sensing technology in water quality monitoring: From traditional approaches to artificial intelligence

Y Sun, D Wang, L Li, R Ning, S Yu, N Gao - Water Research, 2024 - Elsevier
Quantitative estimation is a key and challenging issue in water quality monitoring. Remote
sensing technology has increasingly demonstrated its potential to address these challenges …

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 …

Sentinel-3 OLCI observations of water clarity in large lakes in eastern China: Implications for SDG 6.3. 2 evaluation

M Shen, H Duan, Z Cao, K Xue, T Qi, J Ma, D Liu… - Remote Sensing of …, 2020 - Elsevier
Abstract The Sustainable Development Goal (SDG) 6.3. 2 of the United Nations (UN)
focuses on ambient water quality, while water clarity simplistically and visually reflect water …

Development of remote sensing algorithm for total phosphorus concentration in eutrophic lakes: Conventional or machine learning?

J Xiong, C Lin, Z Cao, M Hu, K Xue, X Chen, R Ma - Water Research, 2022 - Elsevier
Phosphorus is a limiting nutrient in freshwater ecosystems. Therefore, the estimation of total
phosphorus (TP) concentration in eutrophic water using remote sensing technology is of …

Monitoring and understanding the water transparency changes of fifty large lakes on the Yangtze Plain based on long-term MODIS observations

L Feng, X Hou, Y Zheng - Remote Sensing of Environment, 2019 - Elsevier
Various aspects of the water qualities of the large lakes in the Yangtze Plain (YP) have been
studied, while the efforts have been spent on one of the most important parameters-water …

[HTML][HTML] Observations of water transparency in China's lakes from space

D Liu, H Duan, S Loiselle, C Hu, G Zhang, J Li… - International Journal of …, 2020 - Elsevier
Water transparency, usually denoted by Secchi disk depth (SSD), represents the first-order
description of water quality and has important implications for the diversity and productivity …