Creating a global 4-minute grid land cover dataset

Tateishi, Ryutaro and Wen, Cheng-Gan and Perera, L. Kithsiri (1997) Creating a global 4-minute grid land cover dataset. Photogrammetry and Remote Sensing, 36 (4). pp. 62-74. ISSN 0285-5844


Land cover information for the entire land area is needed for research on the global environment or for continental / global land use management and planning. A global 4-minute mesh land cover dataset was created for this need. The data used are NDVI data of the global 8km 10-day composite AVHRR for one year in 1990. Classification was basically performed using seasonal variation information of vegetation by NDVI. This data set was created by the following procedure. (1) Setting of land cover classification items with a hierarchical structure. (2) Collection of grand truth data and creation of a database of its 4-minute mesh. (3) Classification by combining three types of land cover information. The three types are the ground truth data itself, the extended ground truth data, and the results of the condition tree method.

Statistics for USQ ePrint 40340
Statistics for this ePrint Item
Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: No Faculty
Faculty/School / Institute/Centre: No Faculty
Date Deposited: 10 Dec 2020 04:30
Last Modified: 10 Dec 2020 04:30
Fields of Research (2008): 04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040699 Physical Geography and Environmental Geoscience not elsewhere classified
Fields of Research (2020): 37 EARTH SCIENCES > 3799 Other earth sciences > 379999 Other earth sciences not elsewhere classified
Socio-Economic Objectives (2008): D Environment > 96 Environment > 9609 Land and Water Management > 960999 Land and Water Management of Environments not elsewhere classified
Socio-Economic Objectives (2020): 18 ENVIRONMENTAL MANAGEMENT > 1899 Other environmental management > 189999 Other environmental management not elsewhere classified
Identification Number or DOI:

Actions (login required)

View Item Archive Repository Staff Only