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- M. S. Environmental Sciences emphasis in remote sensing and geographic information systems, University of Idaho, Moscow, Idaho, USA
B. S. Institute of Fire Disaster Prevention, Moscow, Russia
Researcher, National remote sensing center, Ministry of Environment (ME) Mongolia
Coordinator of international projects, Department of International Cooperation, Ministry of Nature & Environment, Mongolia
Remote sensing applications for natural resources, conservation, natural disaster monitoring, and prediction
- Member, American Society of Photo-grammetry and Remote Sensing (ASPRS)
The forest stress/health index product is being developed for use by forest managers or forest land owners as a regional indicator for assessing forest or patches of forest that may be stressed due to any number of different factors (i.e. drought, insects, disease, nutrition). The region contains complex mountainous ecosystems with difficult access that requires significant resource expenditure for inventory or resource assessment. Visual inventory of resources is very inefficient in most cases. As an example, a forest disease or infestation by pathogen can usually only be detected when damage is already done. Further, it can only be seen from limited perspective on the ground. Due to these limiting factors, it has not been economical to inventory changes in forest vegetation by manual methods. The use of remote sensing and the stress/health index provides an identification method to monitor and understand productivity change across the entire region on an ongoing annual basis.
Erdenesaikhan N. 1996. Forest and Steppe Fire Monitoring Annual Report. National Remote Sensing Center, Ulaanbaatar, Mongolia
Erdenesaikhan N. 1997. Overview of Wildfire in Mongolia. J. of International Forest Fire News No.18 1997
Erdenesaikhan N. 1998. Some statistics on Wild Fires Mongolia. National Wild Fire Seminar Proceedings. Government Press. Pp. 45-56.
Erdenesaikhan N. Erdenetuya M. 1999 Forest and Steppe Fire Monitoring Using Satellite Remote Sensing. J. of International Forest Fire News (IFFN) No.21 Sep. 1999 pp. 71-74
Erdenesaikhan N. 2002. Time-series satellite data analysis for assessment of vegetation cover of Mongolia. ESRI's 22nd Annual User Conference
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