中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
LAND USE/COVER CHARACTERIZAITOIN WITH MODIS TIME SERIES DATA WITH HYBRID CLASSIFICATION MOTHED OVER AUSTRALIA FOR 2001 AND 2003

文献类型:会议论文

作者Song, Kaishan ; Jia, Mingming ; Hafeez, Mohsin ; Wang, Zongming ; Lu, Dongmei ; Zeng, Lihong ; Liu, Dianwei ; Zhang, Bai ; Du, Jia ; Liu, Qingfeng
出版日期2009
会议名称IEEE International Geoscience and Remote Sensing Symposium
会议日期JUL 12-17, 2009
会议地点Cape Town, SOUTH AFRICA
关键词Australia NDVI LULC S-G filter LSWI
英文摘要Improved and up-to-date land use/land cover (LULC) data sets are needed over the whole country of Australia to support science and policy applications focused on understanding the role and response of the LULC to environmental change. The main goal of this study was to map LULC in Australia using MOD'S 250 in Normalized Difference Vegetation Index (NDVI), Land Surface Vegetation Index (LSWI) and reflectance time series data of 2000 and 2003. NDVI time-series were filtered by the Savitzky-Golay algorithm in the present study to smooth out noise A combination of unsupervised ISODATA and a hierarchical decision tree classification were performed on 2 years 12-month time-series MODIS data. Also, Australian Vegetation Map and other land use/land cover data set were used as labeling reference during the classification process The MODIS land cover products were evaluated using existing land use/cover data derived from Landsat TM as reference data (AUS-2000), also LULC information derived from 11 scenes of Landsat-5 TM data were used as validation data source The overall classification accuracy was 76.4%. It turned out that our result is acceptable because the relative high resolution of MODIS data and more prior knowledge was applied
会议主办者IEEE
会议录2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
源URL[http://159.226.123.10/handle/322005/4719]  
专题东北地理与农业生态研究所_合作研究组
推荐引用方式
GB/T 7714
Song, Kaishan,Jia, Mingming,Hafeez, Mohsin,et al. LAND USE/COVER CHARACTERIZAITOIN WITH MODIS TIME SERIES DATA WITH HYBRID CLASSIFICATION MOTHED OVER AUSTRALIA FOR 2001 AND 2003[C]. 见:IEEE International Geoscience and Remote Sensing Symposium. Cape Town, SOUTH AFRICA. JUL 12-17, 2009.

入库方式: OAI收割

来源:东北地理与农业生态研究所

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