Methodology Development for Area Determination of Rice Planted Paddy Using RADARSAT Data
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概要
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Every year, the agricultural statistics section of the Japanese government announces rice planting paddy area and rice yield per hectare (ha). At present, the rice planting paddy area is calculated based on field survey by human power. In future, the Japanese government should like to determine the rice transplanted paddy area using remote sensing. Already, some results have come out using satellite-borne optical sensors. However, Japan has a rainy-season at crop growing time, and therefore it is difficult, under such weather condition, to make accurate and consistent observation of paddy fields every year by optical means. On the other hand, Synthetic Aperture Radar (SAR) is capable of observing the earth's surface without influence of clouds. Making use of this all-weather imaging capability, we are currently developing a method to determine the rice planted paddy area using SAR data acquired by RADARSAT. Paddy fields are filled with water during rice-planting period. When the microwave is incident on the filled paddy fields, it is reflected away from the SAR antenna by the water surface acting like a mirror. This phenomenon is called 'specular reflection'. The microwave backscatter is therefore small from the surface covered with water. Thus, the radar cross section (RCS) is very small from rice paddies at a transplanting period due to the specular reflection, and it increases with the growth of rice plants because of volume scatter by stems and leaves, and also by multiple reflection between the water surface and rice plants. In our study, this characteristic is used to develop methods of estimating rice paddy area.<BR>Our study area is the Saga plain in the southeast Japan. First, We determine the threshold of image intensity to separate the land and water areas using the histogram and maps. Next, we develop techniques of classification, utilizing (1) RADARSAT and optical data, (2) two multi-temporal RADARSAT data, (3) RADARSAT and GIS data, and (4) two multi-temporal RADARSAT and GIS data. Comparison is then made not only for the accuracy of each methods but also the accuracy of matching the classified areas with municipalities. As a result, we conclude that the threshold value needs to be compensated by taking into account the presence of scattering objects such as houses and creeks around the rice paddies, and that the most accurate method is to use (4) two multi-temporal RADARSAT and GIS data.
- 社団法人 日本リモートセンシング学会の論文