Back to Search
Start Over
Mapping forest disturbance due to selective logging in the congo basin with radarsat-2 time series
- Source :
- Remote Sensing; Volume 13; Issue 4; Pages: 740, Remote Sensing, Vol 13, Iss 740, p 740 (2021), Antropov, O, Rauste, Y, Praks, J, Seifert, F M & Häme, T 2021, ' Mapping forest disturbance due to selective logging in the congo basin with radarsat-2 time series ', Remote Sensing, vol. 13, no. 4, 740, pp. 1-16 . https://doi.org/10.3390/rs13040740
- Publication Year :
- 2021
- Publisher :
- MDPI, 2021.
-
Abstract
- Dense time series of stripmap RADARSAT-2 data acquired in the Multilook Fine mode were used for detecting and mapping the extent of selective logging operations in the tropical forest area in the northern part of the Republic of the Congo. Due to limited radiometric sensitivity to forest biomass variation at C-band, basic multitemporal change detection approach was supplemented by spatial texture analysis to separate disturbed forest from intact. The developed technique primarily uses multi-temporal aggregation of orthorectified synthetic aperture radar (SAR) imagery that are acquired before and after the logging operations. The actual change analysis is based on textural features of the log-ratio image calculated using two SAR temporal composites compiled of SAR scenes acquired before and after the logging operations. Multitemporal aggregation and filtering of SAR scenes decreased speckle and made the extracted textural features more prominent. The overall detection accuracy was around 80%, with some underestimation of the area of forest disturbance compared to reference based on optical data. The user’s accuracy for disturbed forest varied from 76.7% to 94.9% depending on the accuracy assessment approach. We conclude that change detection utilizing RADARSAT-2 time series represents a useful instrument to locate areas of selective logging in tropical forests.
- Subjects :
- Synthetic aperture radar
Disturbance (geology)
010504 meteorology & atmospheric sciences
C band
Science
Logging
0211 other engineering and technologies
Orthophoto
Satellite image time series
02 engineering and technology
Selective logging
01 natural sciences
Speckle pattern
synthetic aperture radar
tropical forest
selective logging
C-band
satellite image time series
Tropical forest
General Earth and Planetary Sciences
Satellite Image Time Series
Geology
Change detection
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Remote sensing
Subjects
Details
- Language :
- English
- ISSN :
- 20724292
- Volume :
- 13
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Remote Sensing
- Accession number :
- edsair.doi.dedup.....53df76ed1782a358681ea3cd8ece1519