Comparing Discharge Estimates Made via the BAM Algorithm in High‐Order Arctic Rivers Derived Solely From Optical CubeSat, Landsat, and Sentinel‐2 Data-Reference-Cited by-同舟云学术

Comparing Discharge Estimates Made via the BAM Algorithm in High‐Order Arctic Rivers Derived Solely From Optical CubeSat, Landsat, and Sentinel‐2 Data

Published:2019-09 Issue:9 Volume:55 Page:7753-7771
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Feng Dongmei¹^ORCID,Gleason Colin J.¹^ORCID,Yang Xiao²^ORCID,Pavelsky Tamlin M.²^ORCID

Affiliation:

1. Department of Civil and Environmental Engineering University of Massachusetts Amherst Amherst MA USA

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

Funder

National Aeronautics and Space Administration

National Science Foundation

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019WR025599

Reference51 articles.

1. Relationships Among Nutrient and Sediment Fluxes, Hydrological Variability, Fire, and Land Cover in Coastal California Catchments

2. Global extent of rivers and streams

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4. Potential impacts of a warming climate on water availability in snow-dominated regions

5. Comment on “Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water” by Eric F. Wood et al.

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