Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Kurt Donaldson"'
Autor:
Shannon Marie Maynard, Kurt Donaldson, Maneesh Sharma, Caleb M. Malay, J. Steven Kite, Aaron E. Maxwell
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 293, p 293 (2021)
ISPRS International Journal of Geo-Information
Volume 10
Issue 5
ISPRS International Journal of Geo-Information
Volume 10
Issue 5
Slope failure probabilistic models generated using random forest (RF) machine learning (ML), manually interpreted incident points, and light detection and ranging (LiDAR) digital terrain variables are assessed for predicting and generalizing to new g
Autor:
Rachel E. Yesenchak, Elizabeth Hanwell, Maneesh Sharma, Shannon Marie Maynard, Kurt Donaldson, J. Steven Kite, Matthew L. Bell, Aaron E. Maxwell
Publikováno v:
Geological Society of America Abstracts with Programs.
Autor:
Kurt Donaldson, Maneesh Sharma, Rachel E. Yesenchak, Aaron E. Maxwell, Elizabeth Hanwell, Matthew L. Bell, Shannon Marie Maynard, J. Steven Kite
Publikováno v:
Geological Society of America Abstracts with Programs.
Autor:
Kurt Donaldson, David Donaldson
Publikováno v:
Geospatial Information System Use in Public Organizations ISBN: 9780429272851
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::189db8c8f9babcca30b669e35ab42812
https://doi.org/10.4324/9780429272851-12
https://doi.org/10.4324/9780429272851-12
Autor:
Maneesh Sharma, James A. Thompson, Joel Slobe, Kurt Donaldson, Elizabeth Hanwell, J. Steven Kite, Shannon Marie Maynard, Aaron E. Maxwell
Publikováno v:
Geological Society of America Abstracts with Programs.
Autor:
Maneesh Sharma, Matthew L. Bell, J. Steven Kite, Shannon Marie Maynard, Kurt Donaldson, Christopher D'Emidio, Aaron E. Maxwell, Elizabeth Hanwell
Publikováno v:
Geological Society of America Abstracts with Programs.
Autor:
James S. Kite, Aaron E. Maxwell, Matthew L. Bell, Kurt Donaldson, Shannon Marie Maynard, James A. Thompson, Maneesh Sharma
Publikováno v:
Remote Sensing; Volume 12; Issue 3; Pages: 486
Remote Sensing, Vol 12, Iss 3, p 486 (2020)
Remote Sensing, Vol 12, Iss 3, p 486 (2020)
The probabilistic mapping of landslide occurrence at a high spatial resolution and over a large geographic extent is explored using random forests (RF) machine learning; light detection and ranging (LiDAR)-derived terrain variables; additional variab