Land use/cover characterizaitoin with modis time series data with hybrid classification mothed over Australia for 2001 and 2003

Kaishan Song, Mingming Jia, Muhammad Hafeez, Zongming Wang, Dongmei Lu, Lihong Zeng, Dianwe Liu, Bai Zhang, Jia Du, Qingfeng Liu

Research output: Book chapter/Published conference paperConference paper

1 Citation (Scopus)

Abstract

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 MODIS 250 m 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.
Original languageEnglish
Title of host publicationIGARSS 2009
Place of PublicationUSA
PublisherIEEE
PagesIII306-III309
Volume5
ISBN (Electronic)9781424433957
DOIs
Publication statusPublished - 2009
EventIEEE International Geoscience and Remote Sensing Symposium - Cape Town, Sth Africa, South Africa
Duration: 12 Jul 200917 Jul 2009

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium
CountrySouth Africa
Period12/07/0917/07/09

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