Transfer learning in environmental remote sensing
Abstract Machine learning (ML) has proven to be a powerful tool for utilizing the rapidly
increasing amounts of remote sensing data for environmental monitoring. Yet ML models …
increasing amounts of remote sensing data for environmental monitoring. Yet ML models …
Remote sensing big data for water environment monitoring: current status, challenges, and future prospects
J Chen, S Chen, R Fu, D Li, H Jiang, C Wang… - Earth's …, 2022 - Wiley Online Library
Accurate water extraction and quantitative estimation of water quality are two key and
challenging issues for remote sensing of water environment. Recent advances in remote …
challenging issues for remote sensing of water environment. Recent advances in remote …
ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters
N Pahlevan, A Mangin, SV Balasubramanian… - Remote Sensing of …, 2021 - Elsevier
Atmospheric correction over inland and coastal waters is one of the major remaining
challenges in aquatic remote sensing, often hindering the quantitative retrieval of …
challenges in aquatic remote sensing, often hindering the quantitative retrieval of …
[HTML][HTML] Remote estimates of suspended particulate matter in global lakes using machine learning models
Z Wen, Q Wang, Y Ma, PA Jacinthe, G Liu, S Li… - International Soil and …, 2024 - Elsevier
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 …
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 …
Remote sensing of fluorescent humification levels and its potential environmental linkages in lakes across China
The pollution or eutrophication affected by dissolved organic matter (DOM) composition and
sources of inland waters had attracted concerns from the public and government in China …
sources of inland waters had attracted concerns from the public and government in China …
Monitoring water quality using proximal remote sensing technology
X Sun, Y Zhang, K Shi, Y Zhang, N Li, W Wang… - Science of the Total …, 2022 - Elsevier
Accurate, high spatial and temporal resolution water quality monitoring in inland waters is
vital for environmental management. However, water quality monitoring in inland waters by …
vital for environmental management. However, water quality monitoring in inland waters by …
Quantification of chlorophyll-a in typical lakes across China using Sentinel-2 MSI imagery with machine learning algorithm
S Li, K Song, S Wang, G Liu, Z Wen, Y Shang… - Science of the Total …, 2021 - Elsevier
Lake eutrophication has attracted the attention of the government and general public.
Chlorophyll-a (Chl-a) is a key indicator of algal biomass and eutrophication. Many efforts …
Chlorophyll-a (Chl-a) is a key indicator of algal biomass and eutrophication. Many efforts …
Eutrophication state in the Eastern China based on Landsat 35-year observations
Eutrophication of the eastern plain lake (EPL) region has a significant impact on the
sustainable economic development and is closely related to the shortage of water resources …
sustainable economic development and is closely related to the shortage of water resources …
A new technique for quantifying algal bloom, floating/emergent and submerged vegetation in eutrophic shallow lakes using Landsat imagery
With the increasing problem of eutrophication, lacustrine ecosystem can undergo complex
changes, often resulting in a shift from a clear macrophyte-dominated state to a turbid …
changes, often resulting in a shift from a clear macrophyte-dominated state to a turbid …