Detection of fire impact and vegetation recovery over tropical peat swamp forest by satellite data and ground-based NDVI instrument

Abstract

Multitemporal Principal Component Analysis (MPCA) was used for processing Landsat TM/ETM+ satellite images. MPCA was able to merge spectral data corresponding to TM-1996 (pre-fire in 1997), ETM-2000 (post-fire 1997 and pre-fire 2002) and ETM-2003 (post-fire in 2002), which was crucial for detecting the fire impact and vegetation recovery. Results indicate that the burnt areas of 1997 and 2002 were 89,086 ha (16.5%) and 31,859 ha (5.9%), respectively, within the study area of 540,000 ha. SPOT-VEGETATION 10-days Maximum Value Composite (MVC) data were also used and compared with Normalized Difference Vegetation Index (NDVI) from ground-based NDVI. Our research demonstrates the strong relationship between Landsat TM/ETM+, SPOT-VEGETATION data and ground-based NDVI to identifying land cover changes and vegetation recovery over the tropical peat swamp forest area in Central Kalimantan, Indonesia that is affected by forest fires that occurred in 1997 and 2002

Observing and understanding the Southeast Asian aerosol system by remote sensing: An initial review and analysis for the Seven Southeast Asian Studies (7SEAS) program

“…Fuel loads and burned area have been estimated in numerous studies, but largely by extrapolation. High resolution products are available and applied from such products as Landsat (Giri and Shrestha, 2000;Miettinen et al, 2007;Segah et al, 2010), but studies are not comprehensive, footprints are small and there is a lack of uniformity in processing between researchers.…”

Retrieval of Tropical Peatland Forest Biomass From Polarimetric Features in Central Kalimantan, Indonesia

“…Low canopy forest has only two strata and very few trees of commercial value. The principal species of the upper canopy are Combretocarpus Rotundatus (Tumeh), Palaquium sp., Dyera Costulata, Ilex Cymosa, Dyospyros sp., and Calophyllum spp [21,22]. The study site is relatively flat with an elevation that varies between 4 m and 157 m. Rainfall is common throughout the year and varies from about 60 inches (150 cm) to over 180 inches (450 cm) per year.…”

Advances in Remote Sensing of Post-Fire Vegetation Recovery Monitoring - A Review

“…Where Landsat-based studies allow only a few cloud-free images a year (Ju and Roy 2008), satellite sensors with high temporal frequency permit the construction of continuous time series. More recently, several authors have explored this data type for assessing post-fire effects (Idris et al 2005;Goetz et al 2006;Telesca and Lasaponara 2006;Li et al 2008;van Leeuwen 2008;Alcaraz-Segura et al 2010;Gouveia et al 2010;Lhermitte et al 2010;Segah et al 2010;van Leeuwen et al 2010;Lhermitte et al 2011;Veraverbeke et al 2012a;Veraverbeke et al 2012c). Thanks to this it is possible to discriminate between regeneration patters and seasonal fluctuations (Veraverbeke et al 2010b;Lhermitte et al 2011;Veraverbeke et al 2012b).…”

“…Usually, these index transforms are based on thorough field calibration. Only few studies incorporated a substantial number of field plots to calibrate and validate the VI approach (Shaw et al 1998;Bisson et al 2008;Clemente et al 2009;Jacobson 2010;Segah et al 2010;van Leeuwen et al 2010;Vila and Barbosa 2010;Veraverbeke et al 2011bHernandez-Clemente et al 2009). Figure 1 presents an example of the relationship between the NDVI and field estimates of vegetative cover which was used to model post-fire vegetation cover in the burned area.…”