A comparative analysis of a fixed thresholding vs. a classification tree approach for operational burn scar detection and mapping |
| |
| Authors: | CC Kontoes H Poilvé G Florsch I Keramitsoglou S Paralikidis |
| |
| Institution: | 1. Institute for Space Applications and Remote Sensing, National Observatory of Athens, Metaxa & Vassileos Pavlou Str, GR 152 36, Palea Penteli, Athens, Greece;2. Infoterra SAS, 31 Avenue des Cosmonautes, 31 402 Toulouse Cedex 4, France |
| |
| Abstract: | The scope of this paper is to demonstrate, evaluate and compare two burn scar mapping (BSM) approaches developed and applied operationally in the framework of the RISK-EOS service element project within the Global Monitoring for Environment and Security (GMES) program funded by ESA (http://www.risk-eos.com). The first method is the BSM_NOA, a fixed thresholding method using a set of specifically designed and combined image enhancements, whilst the second one is the BSM_ITF, a decision tree classification approach based on a wide range of biophysical parameters. The two methods were deployed and compared in the framework of operational mapping conditions set by RISK-EOS standards, based either on sets of uni- or multi-temporal satellite images acquired by Landsat 5 TM and SPOT 4 HRV. The evaluation of the performance of the two methods showed that either in uni- or multi-temporal acquisition mode, the two methods reach high detection capability rates ranging from 80% to 91%. At the same time, the minimum burnt area detected was of 0.9–1.0 ha, despite the coarser spatial resolution of Landsat 5 TM sensor. Among the advantages of the satellite-based approaches compared to conventional burn scar mapping, are cost-efficiency, repeatability, flexibility, and high spatial and thematic accuracy from local to country level. Following the catastrophic fire season of 2007, burn scar maps were generated using BSM_NOA for the entirety of Greece and BSM_ITF for south France in the framework of the RISK-EOS/GMES Services Element project. |
| |
| Keywords: | Earth Observation Burn scar mapping Wildfires Fixed thresholding Decision tree classification Landsat 5 TM SPOT XS RISK-EOS |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
