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[HTML][HTML] Remote estimates of suspended particulate matter in global lakes using machine learning models
Suspended particulate matter (SPM) in lakes exerts strong impact on light propagation,
aquatic ecosystem productivity, which co-varies with nutrients, heavy metal and micro …
aquatic ecosystem productivity, which co-varies with nutrients, heavy metal and micro …
[HTML][HTML] Meta-analysis of satellite observations for united nations sustainable development goals: exploring the potential of machine learning for water quality …
This review paper adopts bibliometric and meta-analysis approaches to explore the
application of supervised machine learning regression models in satellite-based water …
application of supervised machine learning regression models in satellite-based water …
Long-term spatiotemporal map** in lacustrine environment by remote sensing: Review with case study, challenges, and future directions
L Lai, Y Liu, Y Zhang, Z Cao, Y Yin, X Chen, J **, S Wu - Water Research, 2024 - Elsevier
Satellite remote sensing, unlike traditional ship-based sampling, possess the advantage of
revisit capabilities and provides over 40 years of data support for observing lake …
revisit capabilities and provides over 40 years of data support for observing lake …
Remote sensing of total suspended matter concentration in lakes across China using Landsat images and Google Earth Engine
Total suspended matter (TSM) has a crucial impact on light propagation in the water column,
and often co-varies with nutrients, heavy metal and micropollutant fluxes. The objective of …
and often co-varies with nutrients, heavy metal and micropollutant fluxes. The objective of …
Spatiotemporal variation reconstruction of total phosphorus in the Great Lakes since 2002 using remote sensing and deep neural network
Total phosphorus (TP) is non-optically active, thus TP concentration (CTP) estimation using
remote sensing still exists grand challenge. This study developed a deep neural network …
remote sensing still exists grand challenge. This study developed a deep neural network …
Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis …
Designing predictive models of global solar radiation can be an effective renewable energy
feasibility studies approach to resolve future problems associated with the supply, reliability …
feasibility studies approach to resolve future problems associated with the supply, reliability …
Ecological impacts of unsustainable sand mining: urgent lessons learned from a critically endangered freshwater cetacean
Sand mining, which has tripled in the last two decades, is an emerging concern for global
biodiversity. However, the paucity of sand mining data worldwide prevents understanding …
biodiversity. However, the paucity of sand mining data worldwide prevents understanding …
[HTML][HTML] The source, distribution, and environmental effects of suspended particulate matter in the yangtze river system
J Fan, J Yang, F Cheng, S Zhang - Water, 2023 - mdpi.com
Suspended particulate matter (SPM) plays a crucial role in biogeochemical cycles in the
aquatic environment because of its ubiquitous presence, mobility, and physicochemical …
aquatic environment because of its ubiquitous presence, mobility, and physicochemical …
[HTML][HTML] Remote sensing estimation of lake total phosphorus concentration based on MODIS: A case study of Lake Hongze
Phosphorus (P) is an important substance for the growth of phytoplankton and an efficient
index to assess the water quality. However, estimation of the TP concentration in waters by …
index to assess the water quality. However, estimation of the TP concentration in waters by …
[HTML][HTML] Natural and human activities driving the spatiotemporal variability of water clarity in lakes across Eastern China
Water clarity, indexed by Secchi disk depth (Z sd), comprehensively reflects water quality
and can be monitored by satellite. Z sd may vary across lakes globally, driven by natural and …
and can be monitored by satellite. Z sd may vary across lakes globally, driven by natural and …