Creating a global 4-minute grid land cover dataset
Article
Tateishi, R., Wen, C. and Perera, L. Kithsiri. 1997. "Creating a global 4-minute grid land cover dataset." Photogrammetry and Remote Sensing. 36 (4), pp. 62-74. https://doi.org/10.4287/jsprs.36.4_62
| Article Title | Creating a global 4-minute grid land cover dataset |
|---|---|
| Article Category | Article |
| Authors | Tateishi, R. (Author), Wen, C. (Author) and Perera, L. Kithsiri (Author) |
| Journal Title | Photogrammetry and Remote Sensing |
| Journal Citation | 36 (4), pp. 62-74 |
| Number of Pages | 13 |
| Year | 1997 |
| Place of Publication | Japan |
| Digital Object Identifier (DOI) | https://doi.org/10.4287/jsprs.36.4_62 |
| Web Address (URL) | https://www.jstage.jst.go.jp/article/jsprs1975/36/4/36_4_62/_article/-char/ja/ |
| Abstract | 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. |
| ANZSRC Field of Research 2020 | 379999. Other earth sciences not elsewhere classified |
| Institution of Origin | University of Southern Queensland |
| Byline Affiliations | Chiba University, Japan |
| Weathernews, Japan |
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