Burnt area mapping across Canada ' s boreal forest zone using SPOT VEGETATION calibrated with Landsat TM imageR ) fJ
نویسنده
چکیده
Wildfires are a major source of disturbance to the boreal forest ecosystem as they have been documented to bum as much as 1.5 percent (22 million ha) of its global area in a single year (Cofer et a!., 1996). Fires in this ecosystem typically kill the standing trees and thus exert a dominant control on landscape level patterns of forest succession and stand age distribution (Johnson, 1992). Fire is an important factor modifying the carbon budget with in the boreal zone, which covers less than 17% of the Earth's surface area, yet accounts for more than 30% of its carbon storage (Kasischke, 2000). Carbon storage is directly modified by fire owing to the combustion of forest and ground layer biomass into atmospheric carbon (C02, CH4, CO). It is also indirectly modified due to shifts in stand age distribution and increased ground layer decomposition rates following fire (Kasischke, 2000). To assess these ecological and carbon budget impacts, a fundamental parameter that must be measured is the affected burnt area. This requires a method to map the spatial distribution of burnt forest over vast, remote areas in an accurate, consistent, and timely manner. Coarse resolution ("") km) satellite sensors, notably the AVHRR aboard the NOAA polar orbiters, have proven to be effective for detecting active boreal fires (Flannigan and Vonder Harr, 1986; Li et a!., 2000) and mapping the extent of burnt areas after fire (Cahoon et aI., 1994; Kasischke and French, 1995, Fraser et a!., 2000a). Such sensors are well suited to mapping boreal fires for several reasons: (I) they provide inexpensive, daily coverage of the global boreal zone; (2) more than 97% of the burnt area is caused by fire events> 10 km2, a size that is larger than sensor resolution; and (3) most burning involves crown fires that destroy the forest canopy, producing a large and immediate change in reflectance that can be easily identified. However, for satellite-based burnt area mapping at continental scales to be more robust, accurate, and widely adopted, two important issues need to be addressed. First, the remote sensing burnt area products
منابع مشابه
SPOT VEGETATION for characterizing boreal forest fires
The potential of the recent SPOT VEGETATION (VGT) sensor for characterizing boreal forest res was investigated. Its capability for hotspot detection and burned area mapping was assessed by analysing a series of VGT, NOAA/AVHRR, and Landsat TM images over a 1541 km2 re that occurred in May 1998, in Alberta, Canada. VGT’s 1.65mm, short-wave infrared (SWIR) channel was capable of detecting the...
متن کاملFinding the tree line: quantitative derivation of forest cover estimates
Human activities and climate change are affecting the current position of our ecosystem boundaries and it is expected that the boreal northern tree line will shift to the north due to milder climate at high latitude. This change in extent of the boreal forest will affect greatly the carbon cycle and sustainable development of the north. To be able to assess these changes, field measurements usi...
متن کاملEstimating fire-related parameters in boreal forest using SPOT VEGETATION
The majority of burning in the boreal forest zone consists of stand replacement fires larger than 10 km occurring in remote, sparsely populated regions. Satellite remote sensing using coarse resolution (c 1 km) sensors is thus well suited in documenting the spatial and temporal distribution of fires in this zone. The purpose of this study was to investigate the utility of the SPOT VEGETATION (V...
متن کاملThe use of SPOT VEGETATION data in a classification tree approach for burnt area mapping in Australian savanna
An algorithm to map burnt areas has been developed for SPOT VEGETATION (VGT) data in Australian woodland savannas. A time series of daily VGT images (15 May to 15 July 1999) was composited into 10-day periods by applying a minimum value criterion to the near-infrared band (0.78–0.89 mm). The algorithm was developed using a classification tree methodology that was confirmed as a powerful means o...
متن کاملRemote Sensing of Browning Trends in the Alaskan Boreal Forest
Vegetation health can be monitored using a time series of remotely sensed images by calculating the Normalized Difference Vegetation Index (NDVI). We assessed temporal trends throughout an NDVI time series with three sensors: Advanced Very High Resolution Radiometer (AVHRR), the Moderate Resolution Imaging Spectroradiometer (MODIS) and Landsat Thematic Mapper/Enhanced Thematic Mapper Plus (TM/E...
متن کامل