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Reconstructing satellite images to quantify spatially explicit land surface change caused by fires and succession: A demonstration in the Yukon River Basin of interior Alaska
Institution:4. Department of Civil and Environmental Engineering, Washington State University, Pullman, WA 99164, USA;5. USGS EROS Center, 47914 252nd Street, Sioux Falls, SD 57198, USA;1. Departamento de Dendrocronologia e Historia Ambiental, Av. Ruiz Leal s/n, Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales–CONICET– CCT Mendoza, CC 330, 5500 Mendoza, Argentina;2. Facultad de Ciencias Agrarias, Universidad Nacional de Cuyo, M5528AHB, Chacras de Coria, Mendoza, Argentina;1. Department of Biology and Biotechnology, American University of Madaba, Madaba, Jordan;2. Oikostat GmbH, Rothmattli 16, 6218 Ettiswil, Switzerland
Abstract:Land surface change caused by fires and succession is confounded by many site-specific factors and requires further study. The objective of this study was to reveal the spatially explicit land surface change by minimizing the confounding factors of weather variability, seasonal offset, topography, land cover, and drainage. In a pilot study of the Yukon River Basin of interior Alaska, we retrieved Normalized Difference Vegetation Index (NDVI), albedo, and land surface temperature (LST) from a postfire Landsat image acquired on August 5th, 2004. With a Landsat reference image acquired on June 26th, 1986, we reconstructed NDVI, albedo, and LST of 1987–2004 fire scars for August 5th, 2004, assuming that these fires had not occurred. The difference between actual postfire and assuming-no-fire scenarios depicted the fires and succession impact. Our results demonstrated the following: (1) NDVI showed an immediate decrease after burning but gradually recovered to prefire levels in the following years, in which burn severity might play an important role during this process; (2) Albedo showed an immediate decrease after burning but then recovered and became higher than prefire levels; and (3) Most fires caused surface warming, but cooler surfaces did exist; time-since-fire affected the prefire and postfire LST difference but no absolute trend could be found. Our approach provided spatially explicit land surface change rather than average condition, enabling a better understanding of fires and succession impact on ecological consequences at the pixel level.
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