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.
A large-scale earthquake with a magnitude of 7.6 occurred on October 8, 2005 in the northern part of Pakistan. By the analysis using high-resolution images from IKONOS and SPOT-5 satellites, we clarified that the slope failures caused by the earthquake were concentrated on the northeastern side of the earthquake faults. In addition, GSI detected the existence of surface rupture of the earthquake faults. In this paper, the authors explain the difference of interpretation characteristics of high-resolution satellite imageries, between 2.5-meter class resolution and 1-meter class, and between single imagery and stereo pair imageries. The targeted features for interpretation are such as landslides, surface earthquake faults, damaged buildings and land liquefaction. In addition, the interpretation characteristics of ALOS PRISM for disaster monitoring are reported, in case of the Middle Java earthquake.
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