CLASSIFICATION OF TRANSLATIONAL LANDSLIDE ACTIVITY USING VEGETATION ANOMALIES INDICATOR (VAI) IN KUNDASANG, SABAH ... : تصنيف نشاط الانهيارات الأرضية الانتقالية باستخدام مؤشر الشذوذ النباتي (VAI) في كونداسانغ، صباح ...
Abstract. This paper introduced a novel method of landslide activity mapping using vegetation anomalies indicators (VAIs) obtained from high resolution remotely sensed data. The study area was located in a tectonically active area of Kundasang, Sabah, Malaysia. High resolution remotely sensed data were used to assist manual landslide inventory process and production on VAIs. The inventory process identified 33, 139, and 31 of active, dormant, and relict landslides, respectively. Landslide inventory map were randomly divided into two groups for training (70%) and validation (30%) datasets. Over... Mehr ...
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| Dokumenttyp: | article-journal |
| Erscheinungsdatum: | 2022 |
| Verlag/Hrsg.: |
OpenAlex
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| Schlagwörter: | Landslide Hazards and Risk Assessment / Management / Monitoring / Policy and Law / Environmental Science / Physical Sciences / Remote Sensing in Vegetation Monitoring and Phenology / Ecology / FOS: Biological sciences / Impact of Climate Change on Forest Wildfires / Global and Planetary Change / Vegetation Monitoring / Landslide / Support vector machine / Vegetation pathology / Kappa / Elevation ballistics / Remote sensing / Geology / FOS: Earth and related environmental sciences / Artificial intelligence / Computer science / Geomorphology / Mathematics / FOS: Mathematics / Medicine / Geometry / Pathology |
| Sprache: | Englisch |
| Permalink: | https://search.fid-benelux.de/Record/base-29232777 |
| Datenquelle: | BASE; Originalkatalog |
| Powered By: | BASE |
| Link(s) : | https://dx.doi.org/10.60692/4w9gm-js166 |
