TY - GEN
T1 - Estimation of grassland condition in mongolia from field survey and satellite images
AU - Hori, Madoka
AU - Yonezawa, Chinatsu
AU - Kunii, Daisuke
AU - Yoshihara, Yu
AU - Suzuki, Haruka
PY - 2010
Y1 - 2010
N2 - Mongolian grassland is faced with the problem of degradation. We should understand grassland condition which is seemed to be affected from land-use by using remote sensing. We couldn't classify grassland by condition whether coarse or dense vegetation from the visual image. So we chose the Normalized Difference Vegetation Index (NDVI) which is the most popular vegetation index as to understand grassland condition. We calculated NDVI value on the LANDSAT/ETM+ image. We could find the heavily degradation area on image, where NDVI values are low. We confirmed that it was sand roads over grassland by field survey. Then we selected 5 sites considering land-use type. LT1 is meadow in settled area, LT2 is abundant cropland, LT3 is grassland in tourist camp, LT4 is meadow in nomadism area, and C is conservation grassland in national park selected as control. We conducted the field survey to investigate grassland condition such as vegetation coverage, height of plant and species at 5 sites. The result of field survey showed that grassland condition was related to land-use type. We compare the NDVI values to vegetation information at 5sites we selected. We couldn't show the relationship between NDVI and vegetation information. NDVI can be useful for grasping trend of seriously degraded grassland distribution but is inadequate for more detailed analysis of grassland condition. We should try another approach to estimate grassland condition.
AB - Mongolian grassland is faced with the problem of degradation. We should understand grassland condition which is seemed to be affected from land-use by using remote sensing. We couldn't classify grassland by condition whether coarse or dense vegetation from the visual image. So we chose the Normalized Difference Vegetation Index (NDVI) which is the most popular vegetation index as to understand grassland condition. We calculated NDVI value on the LANDSAT/ETM+ image. We could find the heavily degradation area on image, where NDVI values are low. We confirmed that it was sand roads over grassland by field survey. Then we selected 5 sites considering land-use type. LT1 is meadow in settled area, LT2 is abundant cropland, LT3 is grassland in tourist camp, LT4 is meadow in nomadism area, and C is conservation grassland in national park selected as control. We conducted the field survey to investigate grassland condition such as vegetation coverage, height of plant and species at 5 sites. The result of field survey showed that grassland condition was related to land-use type. We compare the NDVI values to vegetation information at 5sites we selected. We couldn't show the relationship between NDVI and vegetation information. NDVI can be useful for grasping trend of seriously degraded grassland distribution but is inadequate for more detailed analysis of grassland condition. We should try another approach to estimate grassland condition.
KW - Grassland degradation
KW - LANDSAT/ETM+
KW - Land-use
KW - NDVI
KW - Sand roads
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M3 - Conference contribution
AN - SCOPUS:84865660985
SN - 9781617823978
T3 - 31st Asian Conference on Remote Sensing 2010, ACRS 2010
SP - 803
EP - 807
BT - 31st Asian Conference on Remote Sensing 2010, ACRS 2010
T2 - 31st Asian Conference on Remote Sensing 2010, ACRS 2010
Y2 - 1 November 2010 through 5 November 2010
ER -