Beijing 2008
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008
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SNOW COVER DATA:
3. RECOMMENDATION AND CONSLUSION
MODIS sensors MOD10A2 and MODIS’s snow product 8 day
temporal resolution data from 2000 to 2006 was applied to this
research work to determine the continuity period of snow
coverage and the relative difference between Glaciers and Snow
coverage in square km (figure 3).
To use the MODIS products one need to calculate Mosaic and
Reprojection functions. After this calculation we can do a
classification of the snow cover using the digital number
representative of snow cover. We study this digital number
attached to the snow cover by following the instruction for
MODIS snow cover products. The snow cover algorithm identifies
snow-covered land; it also identifies snow-covered ice on inland
water. There are approximately 288 swaths of Terra orbits
acquired in daylight so there are approximately 288 MOD10_L2
snow products per day (George A. Riggs.,2006).
Geographical regions of each ground truth data are recorded in the
data set, "gpg", and the information sources for each ground truth
data are also recorded in the data set CD. The CD data set includes
detail description of the ground truth information. The ground
truth photos are in and description of ground truth shown in the
database CD provided by NUM-ITC-UNESCO Remote
Sensing/GIS Laboratory, National University of Mongolia
(Figure 4).
We are recommending that the lead agencies in Mongolia should:
♦ The current processes for updating the land cover
databases either do not exist or are too slow or poorly
defined to fit the real time needs of local stake holders
and policy decision makers.
♦ New techniques for collecting digital geospatial data
(e.g. remote sensing, GPS, etc) are changing the local
needs for, and uses of the data, and it is necessary to
have more local stake holders aware of the benefits of
geospatial data.
♦ The number of personnel educated and trained to make
use of the GIS database is inadequate to meet the local
demands for Mongolia.
♦ Begin completing annual field surveys to verify the
satellite result and study of climate, vegetation, soil
and socio-economic condition of selected areas.
♦ Development of better criteria for monitoring forest
conditions and specific indicators of deforestation and
processes associated with it. Deforestation should be
calculated through the integration of the individual
indicator class value. Forest condition indicator and
forest maps should be evaluated by digitally overlaying
results with verification data and other related
indicators to form spatial correlation data sets.
♦ Inter-west provinces collaboration within Mongolia to
facilitate local cooperation for land cover/use research.
Figure 3. Continuity period of snow coverage
ACKNOWLEDGEMENT
1 , ., .... i
Data bust- Collection for I .and Cover Validation nntl
Monitoring one! Capacity HuiMtng Training on
Remote Sensing/GIS in Western Mongolia
"NVM-ITC-UNESCO" Retfiote Sensing laboratory and
T he International Society for Photogrammetry
and Remote Sensing <1SPRS)
2007
Figure 4. Coverage of the CD with the land cover information
We would like to thank ISPRS for support this project. We
express our special thanks colleagues from Khovd Agricultural
University, Mongolia for their contribution and experience for
ground truth collection. We wish to thank MODIS data center and
SPOT /Vegetation for providing data.
REFERENCES
George A. Riggs., Dorothy K. Hall., Vincent V.
Salomonson.,2006, MODIS Snow Products User Guide for
Collection 4 Data Products, USA
LANDSAT: http://glcf.umiacs.umd.edu
MODIS: http://edcdaac.usgs.gov/includes/edg_bridge.php
SPOT-VEGETATION: http://www.free.vgt.vito.be/
