Keisuke Hoshikawa

Classification of crop fields in northeast Thailand based on hydrological characteristics detected by L-band SAR backscatter data

Synthetic aperture radar (SAR) backscatter amplitude image data have proven useful in estimating soil moisture levels and in approximating areas of water inundation over large regions. Based on the pattern of seasonal change in the backscatter coefficient at each image pixel, this study classified a variety of crop fields in Northeast Thailand according to their hydrological characteristics. L-band horizontal-transmit horizontal-receive (HH) polarization images from advanced land observing satellite phased array type L-band synthetic aperture radar (ALOS-PALSAR) at six dates from January to December over the rainy season (May to November) in 2007 were used. Fifteen clusters of pixels were generated using the k-means method, with five variables obtained by taking the difference between the backscatter coefficient for the dry season (January) and the other five dates, effectively removing effects of soil surface roughness. As a result, a detailed spatial distribution of hydrological characteristics that accurately reflected topographical features and hydrological conditions was obtained.

Effects of topography on the construction and efficiency of earthen weirs for rice irrigation in Northeast Thailand

Farmers in some parts of the Indochina Peninsula have been using earthen weirs to supply water to their rice fields, and the use of such weirs is especially prevalent in Northeast Thailand. Although now a typical rain-fed rice cultivation area, a significant percentage of rice fields in Northeast Thailand used earthen weirs before the extensive expansion of rain-fed rice fields that occurred in the early 20th century. In this study, we clarified some of the historical changes associated with the construction and use of earthen weirs and their effects on rice production. In particular, we investigated some of the topographic effects, such as terrain, catchment size, and slope grade, on water delivery. In addition, water delivery methods, construction periods, and the discontinued use of earthen weirs were examined with respect to regional influences and topography. Earthen weirs were found to be most suitable in areas that exhibited complementarity between the riverbed slope and the water catchment. The type of earthen weir was dependent on the magnitude of the riverbed slope. Earthen weirs have been constructed continuously on steeper upstream slopes of rivers for more than a century, while weir construction on lower riverbeds with larger catchments appears to be more recent.

Effects of terrain-induced shade removal using global DEM data sets on land-cover classification

Free access to global data sets of satellite images and digital elevation models (DEMs) such as Aster Global DEM (GDEM) and Shuttle Radar Topography Mission (SRTM) digital topography are expected to contribute to various study areas that deal with land cover and land use. To assess the capabilities of these global DEM data sets and to provide guidelines for performing shade removal under various terrain and illumination conditions, we evaluated the results of shade removal using the Minnaert correction and C-correction. These corrections were applied, using the GDEM (versions 1 and 2), SRTM, and a DEM derived from a local map (local DEM), to 30 sample images from 20 scenes of 10 path-rows in global land survey (GLS) Landsat-TM/ETM+ images, in terms of statistical indices and the accuracy of land-cover discrimination. The analysis indicated that the results of shade removal depended mainly on the correlation between the cosine of the sunshine incidence angle (cos(i)) and the radiance before shade removal, except in some cases with inferior illumination conditions. Of the three global DEMs, GDEM version 2 had the highest performance in shade removal. However, this study also indicated that successful shade removal was only one of the several factors that increased the accuracy of land-cover classification. In practical applications, shade removal can be recommended only for images where the terrain shade obviously disturbs the original spectral reflection characteristics of each land-cover type and no significant dependence of the land-cover distribution on the slope aspect is assumed. In such cases, also global DEMs evaluated in this study can be used for shade removal.