Application of a multi-temporal, LiDAR-derived, digital terrain model in a landslide-volume estimation
- Author
- TSENG, C.-M1 ; LIN, C.-W2 ; STARK, C.P3 ; LIU, J.-K4 ; FEI, L.-Y5 ; HSIEH, Y.-C5
[1] Dept. of Land Management and Development, Chang Jung Christian Univ., Tainan City, Taiwan, Province of China
[2] Dept. of Earth Sciences, National Cheng Kung Univ., Tainan City, Taiwan, Province of China
[3] Lamont Doherty Earth Observatory, Columbia Univ., New York, United States
[4] LiDAR Technology, Zhubei City, Taiwan, Province of China
[5] Environmental & Engineering Geology Division, Central Geological Survey, MOEA, New Taipei City, Taiwan, Province of China - Source
Earth surface processes and landforms. 2013, Vol 38, Num 13, pp 1587-1601, 15 p ; ref : 2 p
- Publisher
- Wiley, Chichester
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Keyword (fr)
- Analyse quantitative Bassin-versant Glissement de terrain LiDAR Modèle numérique de terrain Photographie aérienne Prévision Risque naturel Télédétection Typhon Taïwan
- Keyword (en)
- Quantitative analysis Watershed Landslide LiDAR Digital elevation model Aerial photography Forecast Natural hazards Remote sensing Typhoon Taiwan
- Keyword (es)
- Análisis cuantitativo Cuenca hidrográfica Deslizamiento deterreno LiDAR Modelo numérico de terreno Fotografía aérea Previsión Riesgo natural Teledetección Taiwan
- Classification
- Francis
- 531 Bgi / Prodig / 531-34 Physical geography / 531-35 Geomorphology / 531-50A Methods and techniques
- Discipline
- Geography
- Origin
- PRODIG
- Database
- FRANCIS
- INIST identifier
- 28338326
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1002/esp.3454 
https://dx.doi.org/10.1002/esp.3454
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