The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B3-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 693–698, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-693-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 693–698, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-693-2020

  21 Aug 2020

21 Aug 2020

THE IMPACT OF FOREST FIRE ON FOREST COVER TYPES IN MONGOLIA

N.-E. Geserbaatar1,2, E. Nasanbat1,2, and O. Lkhamjav2 N.-E. Geserbaatar et al.
  • 1Information and Research Institute of Meteorology, Hydrology and Environment, Juulchiny street-5, Ulaanbaatar 15160, Mongolia
  • 2Mongolian Geospatial Association, P.O.Box-24/38, Ulaanbaatar 15141, Mongolia

Keywords: Forest Fire, Landsat imagery, Forest cover type, Image classification

Abstract. The objective of this study was the impact of forest fire on forest cover types. This study has identified non-forest and forest area that has seven forest class are included with cedar, pine, larch, birch, birch-pine mixed, birch-larch mixed and cedar-larch mixed, additionally, remote sensing imagery is applied. In contrast, Landsat imagery has been used several classification approaches. Moreover, the current classification has developments in segmentation and object-oriented techniques offer the suitable analysis to classify satellite data. In the object-oriented classification approach, images cluster to homogenous area as forest types by suitable parameters in some level. The accuracy analysis revealed that overall accuracy showed a good accuracy of determination (86.33 percent in 2000 and 93.75 percent in 2011) with regard to identify of the forest cover and type. Furthermore, these results suggest that the Landsat TM and ETM+ data can reliable detect the forest type based upon the segmentation and object-oriented techniques. In generally, our study area is high-risky region to forest fires. It is higher influence to forest cover and tree species and other ecosystems. Overall, wildfire of impact results showed that 25239 ha of forests were changed to burnt area and 52603 ha forests were changed to grassland.