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Proceedings Paper

Paddy ground truth data collection and evaluation for land cover mapping
Author(s): Hiroshi P. Sato; Ryutaro Tateishi; Jieying Xiao
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Paper Abstract

Ground truth data have grid cells that consist of single land cover classification (pure grid cell), and they are useful as the training data in classifying global land cover. Previous studies showed many global land cover map, however, they have rarely reported locations and collection method of the training data that they might use. Paddy is indispensable classification for global land cover mapping but there is no established method for collecting paddy ground truth data. In this study we collected paddy ground truth candidate data from the existing 1km-resolution China national land use data, which was produced using 30m-resolution LANDSAT/TM data. Since the land use data recorded classification area ratio in each grid cell, it is efficient to collect paddy's pure grid cells. We collected pure grid cells of paddy and segmented them into small areas, and obtained paddy ground truth candidate sites. After the sites whose area >= nine grid cells (=9 km2) were selected, we examined the selected sites' Normalized Difference Vegetation Index (NDVI) time-series changes in 2003 using TERRA/Moderate Resolution Imaging Spectroradiometer (MODIS) 16-days composite data. Furthermore, we chose the sites whose NDVI standard deviation =< 0.1 through 2003, as a result, the number of the selected sites was 271. The 271 candidate sites were assigned to nine China climatic zones, and the sites that are located near climatic boundaries were eliminated. The site whose area is largest in each climatic zone was tried to be selected. Finally, ten sites of paddy ground truth data were collected.

Paper Details

Date Published: 12 December 2006
PDF: 8 pages
Proc. SPIE 6411, Agriculture and Hydrology Applications of Remote Sensing, 641120 (12 December 2006); doi: 10.1117/12.694194
Show Author Affiliations
Hiroshi P. Sato, Geographical Survey Institute (Japan)
Ryutaro Tateishi, Chiba Univ. (Japan)
Jieying Xiao, Chiba Univ. (Japan)

Published in SPIE Proceedings Vol. 6411:
Agriculture and Hydrology Applications of Remote Sensing
Robert J. Kuligowski; Jai S. Parihar; Genya Saito, Editor(s)

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