AquaSat: A Data Set to Enable Remote Sensing of Water Quality for Inland Waters-Reference-Cited by-同舟云学术

AquaSat: A Data Set to Enable Remote Sensing of Water Quality for Inland Waters

Published:2019-11 Issue:11 Volume:55 Page:10012-10025
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Ross Matthew R. V.¹^ORCID,Topp Simon N.²^ORCID,Appling Alison P.³^ORCID,Yang Xiao²^ORCID,Kuhn Catherine⁴^ORCID,Butman David⁴^ORCID,Simard Marc⁵^ORCID,Pavelsky Tamlin M.²^ORCID

Affiliation:

1. Department of Ecosystem Science and Sustainability Colorado State University Fort Collins CO USA

2. Department of Geological Sciences University of North Carolina Chapel Hill NC USA

3. United States Geological Survey Reston VA USA

4. School of Environmental and Forest Sciences University of Washington Seattle WA USA

5. NASA Jet Propulsion Laboratory Pasadena CA USA

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019WR024883

Reference74 articles.

1. Allaire J. J. Xie Y. Mcphereson J. Luraschi J. Ushey K. Atkins A. Wickham H. Cheng J. Chang W. &Iannone R.(2018).R markdown: Dynamic documents for R. R package version 1.11.https://rmarkdown.rstudio.com

2. Oceanic primary production: 2. Estimation at global scale from satellite (Coastal Zone Color Scanner) chlorophyll

3. Water quality trends in New Zealand rivers: 1989–2009

4. The Spectral Response of the Landsat-8 Operational Land Imager

5. A review of ocean color remote sensing methods and statistical techniques for the detection, mapping and analysis of phytoplankton blooms in coastal and open oceans

Cited by 101 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A multidirectional pairwise coupling approach with spectral features unmixing to quantify total phosphorus, total nitrogen, and chlorophyll-a in urban rivers;Journal of Hazardous Materials;2024-09

2. GAM4water: An R-based method for extracting wetted areas from remotely-sensed images.;MethodsX;2024-09

3. Satellite-ground synchronous in-situ dataset of water optical parameters and surface temperature for typical lakes in China;Scientific Data;2024-08-14

4. Toward Large‐Scale Riverine Phosphorus Estimation Using Remote Sensing and Machine Learning;Journal of Geophysical Research: Biogeosciences;2024-08

5. Satellite retrievals of water quality for diverse inland waters from Sentinel-2 images: An example from Zhejiang Province, China;International Journal of Applied Earth Observation and Geoinformation;2024-08