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pro vyhledávání: '"National Hydrography Dataset"'
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Publikováno v:
Freshwater Science, 2018 Jun 01. 37(2), 208-221.
Externí odkaz:
https://www.jstor.org/stable/26540777
Publikováno v:
SoftwareX, Vol 11, Iss , Pp - (2020)
The National Hydrography Dataset (NHD) is a foundational geospatial data source in the United States that enables extensive and diverse environmental research and supports decision-making in numerous contexts. However, the NHD requires regular valida
Externí odkaz:
https://doaj.org/article/23799c23c5e04e2d856f73da4a564e6f
Publikováno v:
Freshwater Science. 40:252-258
The recently promulgated Navigable Waters Protection Rule eliminates federal protection for ephemeral streams previously covered by the Clean Water Act in the USA, but the regulatory agenci...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08ff2692748c364488de04067b4a53ef
https://doi.org/10.1086/713084
https://doi.org/10.1086/713084
Publikováno v:
KDD
This paper studies weakly supervised learning on spatial raster data based on imperfect vector training labels. Given raster feature imagery and imperfect (weak) vector labels with location registration errors, our goal is to learn a deep learning mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c2a4dd1a7f25feef2b0dc3c0fbf5375
https://doi.org/10.1145/3447548.3467301
https://doi.org/10.1145/3447548.3467301
Bed-material sediment particle size data, particularly for the median sediment particle size (D50), are critical for understanding and modeling riverine sediment transport. However, sediment particle size observations are primarily available at indiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53fc2984aa4e58d040bee47e08c00d00
https://doi.org/10.5194/essd-2021-201
https://doi.org/10.5194/essd-2021-201
Autor:
Ethan J. Shavers, Lawrence V. Stanislawski, Shaowen Wang, Joel Schott, Zhe Jiang, E. Lynn Usery, Evan Moak, Alexander Duffy
Publikováno v:
Remote Sensing, Vol 13, Iss 2368, p 2368 (2021)
Remote Sensing
Volume 13
Issue 12
Pages: 2368
Remote Sensing
Volume 13
Issue 12
Pages: 2368
Accurate maps of regional surface water features are integral for advancing ecologic, atmospheric and land development studies. The only comprehensive surface water feature map of Alaska is the National Hydrography Dataset (NHD). NHD features are oft
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fccd4eddf24ec3634761a4fbf4f90a5
https://www.mdpi.com/2072-4292/13/12/2368
https://www.mdpi.com/2072-4292/13/12/2368
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-9 (2021)
Scientific Data
Scientific Data
Spatial variability of river network drainage density (Dd) is a key feature of river systems, yet few existing global hydrography datasets have properly accounted for it. Here, we present a new vector-based global hydrography that reasonably estimate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c738a96b5b1d971eddd07ffdb339510f
Autor:
Dong Ha Kim
Publikováno v:
Journal of Hydrology. 565:819-834
The need for a method of estimating streamflow with both high-quality and high spatial resolution, particularly for ungauged sites, is critical under current circumstances: intensifying competition over water resources and limited streamgages. A sour
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01b310bac4569684d2fd2aa259262e41
https://doi.org/10.1016/j.jhydrol.2018.08.074
https://doi.org/10.1016/j.jhydrol.2018.08.074
Autor:
Lawrence E. Band, Ana María García, John Lovette, Dean L. Urban, Lindsey S. Smart, Lydia Olander, John P. Fay, Nancy Daly, Jamie Blackwell, Jonathan M. Duncan, Anne B. Hoos
Publikováno v:
Environmental Management. 62:1007-1024
The persistence of freshwater degradation has necessitated the growth of an expansive stream and wetland restoration industry, yet restoration prioritization at broad spatial extents is still limited and ad-hoc restoration prevails. The River Basin R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddfee293e36a039db764056bf12a619a
https://doi.org/10.1007/s00267-018-1100-z
https://doi.org/10.1007/s00267-018-1100-z