A machine learning-based strategy for estimating non-optically active water quality parameters using Sentinel-2 imagery

H Guo, JJ Huang, B Chen, X Guo… - International Journal of …, 2021 - Taylor & Francis
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 …

A machine learning-based strategy for estimating non-optically active water quality parameters using Sentinel-2 imagery

H Guo, JJ Huang, B Chen, X Guo… - International Journal of …, 2021 - nchr.elsevierpure.com
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 …

[引用][C] A machine learning-based strategy for estimating non-optically active water quality parameters using Sentinel-2 imagery

H Guo, JJ Huang, B Chen, X Guo… - International Journal of …, 2021 - ui.adsabs.harvard.edu
A machine learning-based strategy for estimating non-optically active water quality parameters
using Sentinel-2 imagery - NASA/ADS Now on home page ads icon ads Enable full ADS view …

[引用][C] A machine learning-based strategy for estimating non-optically active water quality parameters using Sentinel-2 imagery

H Guo, JJ Huang, B Chen, X Guo… - International Journal of …, 2021 - hero.epa.gov
A machine learning-based strategy for estimating non-optically active water quality parameters
using Sentinel-2 imagery | Health & Environmental Research Online (HERO) | US EPA Jump …

[PDF][PDF] A machine learning-based strategy for estimating non-optically active water quality parameters using Sentinel-2 imagery

H Guo, JJ Huang, B Chen, X Guo… - … JOURNAL OF REMOTE …, 2020 - researchgate.net
Water-quality monitoring for small urban waterbodies by remote sensing gets to be difficult
due to the coarse spatial resolution of remotesensing imagery. The recently launched …

[引用][C] A machine learning-based strategy for estimating non-optically active water quality parameters using Sentinel-2 imagery

H Guo, JJ Huang, B Chen, X Guo, VP Singh - 2021