Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W3, 811-814, 2015
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W3/811/2015/
doi:10.5194/isprsarchives-XL-7-W3-811-2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
29 Apr 2015
Automated mapping of burned areas in semi-arid ecosystems using modis time-series imagery
L. A. Hardtke1, P. D. Blanco1, H. F. del Valle1, G. I. Metternicht2, and W. F. Sione3,4 1National Patagonian Center-Argentinean National Research Council, Terrestrial Ecology Unit, U9120ACD Puerto Madryn, Chubut, Argentina
2of Environmental Studies, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW 2052, Australia
3Autonomous University of Entre Ríos, CP 3100 Paraná, Entre Ríos, Argentina
4UnLu-PRODITEL, 6700 Lujan, Buenos Aires, Argentina
Keywords: Bushfires, Time Series, Image Segmentation, MODIS, Normalized Burn Ratio, Rangelands Abstract. Understanding spatial and temporal patterns of burned areas at regional scales, provides a long-term perspective of fire processes and its effects on ecosystems and vegetation recovery patterns, and it is a key factor to design prevention and post-fire restoration plans and strategies. Standard satellite burned area and active fire products derived from the 500-m MODIS and SPOT are avail - able to this end. However, prior research caution on the use of these global-scale products for regional and sub-regional applica - tions. Consequently, we propose a novel algorithm for automated identification and mapping of burned areas at regional scale in semi-arid shrublands. The algorithm uses a set of the Normalized Burned Ratio Index products derived from MODIS time series; using a two-phased cycle, it firstly detects potentially burned pixels while keeping a low commission error (false detection of burned areas), and subsequently labels them as seed patches. Region growing image segmentation algorithms are applied to the seed patches in the second-phase, to define the perimeter of fire affected areas while decreasing omission errors (missing real burned areas). Independently-derived Landsat ETM+ burned-area reference data was used for validation purposes. The correlation between the size of burnt areas detected by the global fire products and independently-derived Landsat reference data ranged from R2 = 0.01 - 0.28, while our algorithm performed showed a stronger correlation coefficient (R2 = 0.96). Our findings confirm prior research calling for caution when using the global fire products locally or regionally.
Conference paper (PDF, 1583 KB)


Citation: Hardtke, L. A., Blanco, P. D., del Valle, H. F., Metternicht, G. I., and Sione, W. F.: Automated mapping of burned areas in semi-arid ecosystems using modis time-series imagery, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W3, 811-814, doi:10.5194/isprsarchives-XL-7-W3-811-2015, 2015.

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