Volume XXXIX-B7
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B7, 257-262, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B7-257-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B7, 257-262, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B7-257-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

  01 Aug 2012

01 Aug 2012

FOREST RESOURCES STUDY IN MONGOLIA USING ADVANCED SPATIAL TECHNOLOGIES

D. Amarsaikhan1, M. Saandar2, V. Battsengel3, and Sh. Amarjargal4 D. Amarsaikhan et al.
  • 1Institute of Informatics and RS, MAS, Ulaanbaatar-51, Mongolia
  • 2MonMap Engineering Services Co., Ulaanbaatar, Mongolia
  • 3School of Geography and Geology, NUM, Ulaanbaatar, Mongolia
  • 4Research Centre of Astronomy and Geophysics, MAS, Ulaanbaatar, Mongolia

Keywords: Optical, Microwave, Forest mapping, Refined maximum likelihood classification

Abstract. The aim of this study is to conduct a forest resources study using optical and synthetic aperture radar (SAR) satellite images. For this purpose, a forest-dominated site around the Lake Khuvsgul located in northern Mongolia is selected. As remote sensing (RS) data sources, panchromatic and multispectral Landsat 7 images as well as ALOS PALSAR L-band HH polarization data are used. To produce a reliable land cover map from the multisensor images, a novel refined maximum likelihood classification based on the spectral and spatial thresholds are applied and for the accuracy assessment an overall accuracy is used. Overall, the research demonstrates that advanced spatial technologies based on optical and microwave RS are reliable tools for different forest studies.