Detailed mapping of lava and ash deposits at Indonesian volcanoes by means of VHR PlanetScope change detection
Please always quote using this URN: urn:nbn:de:bvb:20-opus-262232
- Mapping of lava flows in unvegetated areas of active volcanoes using optical satellite data is challenging due to spectral similarities of volcanic deposits and the surrounding background. Using very high-resolution PlanetScope data, this study introduces a novel object-oriented classification approach for mapping lava flows in both vegetated and unvegetated areas during several eruptive phases of three Indonesian volcanoes (Karangetang 2018/2019, Agung 2017, Krakatau 2018/2019). For this, change detection analysis based on PlanetScope imageryMapping of lava flows in unvegetated areas of active volcanoes using optical satellite data is challenging due to spectral similarities of volcanic deposits and the surrounding background. Using very high-resolution PlanetScope data, this study introduces a novel object-oriented classification approach for mapping lava flows in both vegetated and unvegetated areas during several eruptive phases of three Indonesian volcanoes (Karangetang 2018/2019, Agung 2017, Krakatau 2018/2019). For this, change detection analysis based on PlanetScope imagery for mapping loss of vegetation due to volcanic activity (e.g., lava flows) is combined with the analysis of changes in texture and brightness, with hydrological runoff modelling and with analysis of thermal anomalies derived from Sentinel-2 or Landsat-8. Qualitative comparison of the mapped lava flows showed good agreement with multispectral false color time series (Sentinel-2 and Landsat-8). Reports of the Global Volcanism Program support the findings, indicating the developed lava mapping approach produces valuable results for monitoring volcanic hazards. Despite the lack of bands in infrared wavelengths, PlanetScope proves beneficial for the assessment of risk and near-real-time monitoring of active volcanoes due to its high spatial (3 m) and temporal resolution (mapping of all subaerial volcanoes on a daily basis).…
Author: | Moritz Rösch, Simon Plank |
---|---|
URN: | urn:nbn:de:bvb:20-opus-262232 |
Document Type: | Journal article |
Faculties: | Philosophische Fakultät (Histor., philolog., Kultur- und geograph. Wissensch.) / Institut für Geographie und Geologie |
Language: | English |
Parent Title (English): | Remote Sensing |
ISSN: | 2072-4292 |
Year of Completion: | 2022 |
Volume: | 14 |
Issue: | 5 |
Article Number: | 1168 |
Source: | Remote Sensing (2022) 14:5, 1168. https://doi.org/10.3390/rs14051168 |
DOI: | https://doi.org/10.3390/rs14051168 |
Dewey Decimal Classification: | 5 Naturwissenschaften und Mathematik / 52 Astronomie / 526 Mathematische Geografie |
5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften | |
Tag: | PlanetScope; change detection; lava; object-based image analysis; volcanoes |
Release Date: | 2023/04/25 |
Date of first Publication: | 2022/02/26 |
Licence (German): | CC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International |