Zobrazeno 1 - 10
of 113
pro vyhledávání: '"woodget, A"'
Autor:
Carbonneau, Patrice E., Dugdale, Stephen J., Breckon, Toby P., Dietrich, James T., Fonstad, Mark A., Miyamoto, Hitoshi, Woodget, Amy S.
Publikováno v:
In Remote Sensing of Environment 15 December 2020 251
Autor:
Carl J. Legleiter, Tamlin Pavelsky, Michael Durand, George H. Allen, Angelica Tarpanelli, Renato Frasson, Inci Guneralp, Amy Woodget
Publikováno v:
Remote Sensing, Vol 12, Iss 14, p 2304 (2020)
River discharge is a fundamental hydrologic quantity that summarizes how a watershed transforms the input of precipitation into output as channelized streamflow [...]
Externí odkaz:
https://doaj.org/article/391e61f93f284ed88f90ede820e5e7fd
Publikováno v:
Remote Sensing, Vol 11, Iss 20, p 2415 (2019)
Much of the geomorphic work of rivers occurs underwater. As a result, high resolutionquantification of geomorphic change in these submerged areas is important. Currently, to quantify thischange, multiple methods are required to get high resolution da
Externí odkaz:
https://doaj.org/article/d25b8ae97e0f4b5784451943dbcb186e
Publikováno v:
International Journal of Remote Sensing. 42:2391-2416
Mapping the streambed morphology is crucial for understanding fluvial forms and processes, for advancing both our knowledge and best management practice of riverine systems. It is often done by wad...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac17e7bb096c6397433324f8078aa2dc
https://doi.org/10.1080/01431161.2020.1862433
https://doi.org/10.1080/01431161.2020.1862433
Autor:
Philip Deline, Catriona Fyffe, Amy Woodget, Ben Brock, Matthew J. Westoby, Martin P. Kirkbride
Publikováno v:
Earth Surface Processes and Landforms. 45:2272-2290
Current glacier ablation models have difficulty simulating the high‐melt transition zone between clean and debris‐covered ice. In this zone, thin debris cover is thought to increase ablation compared to clean ice, but often this cover is patchy r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e616c794061587097f034b98ef843066
https://doi.org/10.1002/esp.4879
https://doi.org/10.1002/esp.4879
Publikováno v:
International journal of remote sensing, 2019 [Peer Reviewed Journal]
Print: 0143-1161
Print: 0143-1161
To better understand fluvial forms and processes, geomorphologists have a need for high-resolution fluvial topographic surveys. Continuous data collection\ud approaches such as airborne laser scanning (ALS), terrestrial laser scanning (TLS) and struc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e3f6834828937b6652a265cbb4d9426
https://doi.org/10.1080/01431161.2019.1630782
https://doi.org/10.1080/01431161.2019.1630782
Autor:
Toby P. Breckon, Mark A. Fonstad, Hitoshi Miyamoto, James T. Dietrich, Stephen J. Dugdale, Amy Woodget, Patrice Carbonneau
Publikováno v:
Remote sensing of environment, 2020, Vol.251, pp.112107 [Peer Reviewed Journal]
Rivers are among the world's most threatened ecosystems. Enabled by the rapid development of drone technology, hyperspatial resolution ([less than]10 cm) images of fluvial environments are now a common data source used to better understand these sens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d560ba225614cd9efeee27d1aef65e86
https://doi.org/10.1016/j.rse.2020.112107
https://doi.org/10.1016/j.rse.2020.112107
Autor:
Patrice Carbonneau, Stephen Dugdale, Toby Breckon, James Dietrich, Mark Fonstad, Hitoshi Miyamoto, Amy Woodget
River environments are among the world’s most threatened ecosystems. Enabled by the rapid development of drone technology, hyperspatial resolution (5 billion pixels were labelled and partitioned for the tasks of training (1 billion pixels) and vali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da10c9a9385b460d60e09941f0d6d9ee
https://eartharxiv.org/74kdg
https://eartharxiv.org/74kdg
Publikováno v:
Unmanned Aerial Remote Sensing ISBN: 9780429172410
Unmanned Aerial Remote Sensing
Unmanned Aerial Remote Sensing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47b189c159304c8423fe45635274c62c
https://doi.org/10.1201/9780429172410-4
https://doi.org/10.1201/9780429172410-4