+2017_Gazriin_burhevch_uurchlult_MOGZA_Amarjarg ...

URL: http://portal.igg.ac.mn/dataset/c3a591c5-44b0-4032-a63d-560b99a8ad43/resource/a2a646df-0287-4b7d-8763-3cceccc4d49b/download/2017_gazriin_burhevch_uurchlult_mogza_amarjargal.pdf

Abstract: In last few years, researchers are studying highly level of accuracy for land surface study fields using remote sensing science. We used the data of MODIS satellite image that has 500 m resolution on this study. This study were focused analysis of image preprocessing and change detection on whole territory of Mongolia. Using SRTM and Landsat TM satellite images since 2001 and 2015. In study time, decreasing specifications were estimated by area on each zones such as 1.12 percent on forests, 0.26 percent on high mountain steppe, 3.64 percent on dry steppe and 4.40 percent on desert steppe. But increasing specifications were estimated by area on each zones such as 6.87 percent on steppe, 0.30 percent on open shrub lands, 2.01 percent on sparsely vegetated, 0.16 percent on permanent wetlands and 0.08 percent on others. In generally we made conclusion that change detection was lower and nothing change on 78 percent (316894.75 km square) of total territory of Mongolia. However, increasing specification (positive change) was 20 percent (1234067.5 km square) and negative change specification was 2 percent (23185.75 km square) of total area.

There are no views created for this resource yet.

Additional Information

Field Value
Data last updated September 21, 2018
Metadata last updated September 21, 2018
Created September 21, 2018
Format application/pdf
License Creative Commons Attribution
createdover 5 years ago
format.pdf
ida2a646df-0287-4b7d-8763-3cceccc4d49b
last modifiedover 5 years ago
mimetypeapplication/pdf
on same domainTrue
package idc3a591c5-44b0-4032-a63d-560b99a8ad43
revision id0ed5fcd9-0d31-4c27-ab7e-3e7d5a275808
size3.5 MiB
stateactive
url typeupload