Change detection from very-high-spatial-resolution optical remote sensing images: Methods, applications, and future directions
Change detection is a vibrant area of research in remote sensing. Thanks to increases in the
spatial resolution of remote sensing images, subtle changes at a finer geometrical scale can …
spatial resolution of remote sensing images, subtle changes at a finer geometrical scale can …
The response of aquatic ecosystems to the interactive effects of stratospheric ozone depletion, UV radiation, and climate change
Variations in stratospheric ozone and changes in the aquatic environment by climate
change and human activity are modifying the exposure of aquatic ecosystems to UV …
change and human activity are modifying the exposure of aquatic ecosystems to UV …
[HTML][HTML] Recent research progress on long time series and large scale optical remote sensing of inland water
B ZHANG, LI Junsheng, S Qian, WU Yanhong… - National Remote …, 2021 - ygxb.ac.cn
Inland water, including rivers, lakes and reservoirs on the earth's surface, is the main
component of water resources. It is related to human life, ecological environment …
component of water resources. It is related to human life, ecological environment …
A daily and 500 m coupled evapotranspiration and gross primary production product across China during 2000–2020
Accurate high-resolution actual evapotranspiration (ET) and gross primary production (GPP)
information is essential for understanding the large-scale water and carbon dynamics …
information is essential for understanding the large-scale water and carbon dynamics …
A machine learning-based strategy for estimating non-optically active water quality parameters using Sentinel-2 imagery
Water-quality monitoring for small urban waterbodies by remote sensing gets to be difficult
due to the coarse spatial resolution of remote-sensing imagery. The recently launched …
due to the coarse spatial resolution of remote-sensing imagery. The recently launched …
Water clarity in Brazilian water assessed using Sentinel-2 and machine learning methods
Abstract Secchi Disk Depth (Z sd) is one of the widely used water quality measurements.
Controlled by variations in Optically Active Constituents, it is a key index of overall water …
Controlled by variations in Optically Active Constituents, it is a key index of overall water …
MODIS observations reveal decrease in lake suspended particulate matter across China over the past two decades
Variations in the concentrations and distribution of suspended particulate matter (SPM) of
lakes can be used to show the responses of lake environment to climate and landscape …
lakes can be used to show the responses of lake environment to climate and landscape …
Improving remote sensing estimation of Secchi disk depth for global lakes and reservoirs using machine learning methods
Y Zhang, K Shi, X Sun, Y Zhang, N Li… - GIScience & Remote …, 2022 - Taylor & Francis
Secchi disk depth (SDD) is a simple but particularly important indicator for characterizing the
overall water quality status and assessing the long-term dynamics of water quality for …
overall water quality status and assessing the long-term dynamics of water quality for …
A deep learning method for cyanobacterial harmful algae blooms prediction in Taihu Lake, China
Abstract Cyanobacterial Harmful Algae Blooms (CyanoHABs) in the eutrophic lakes have
become a global environmental and ecological problem. In this study, a CNN-LSTM …
become a global environmental and ecological problem. In this study, a CNN-LSTM …
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 …