S. Ogawa

• National Institute for Agro-Environmental Sciences in Japan

The objective of this study is to promote agricultural remote sensing using satellite data, and we want to develop the method of hyper spectral data for encouragement to next generation satellite in Japan. We find a suitable vegetation index to evaluate biomass of vegetation. The first-order derivatives were calculated based on the field measured r...

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....

Nine scenes of SPOT/HRV data obtained in eight different months in 1997 were evaluated for crop discrimination in the Saga Plains, Japan. All images were atmospherically corrected with the 6S code. Annual Normalized Difference Vegetation Index (NDVI) profiles were generated to characterize seasonal trends in six cropping systems (rice, rice-winter...

We investigated the combined use of NOAA AVHRR-based NDVI and spaceborne SAR-based land cover information for monitoring of‘spring flush’, which is rapid growth of grass over Japanese dairy farming region. Comparison of SAR (JERS : 17 July, 30 August, ERS : 12 June 1995) and TM (14 June 1995) -derived land cover map showed that compiled data of JER...

ALOS has three main sensors: PALSAR, AVNIR2, and PRISM. We examined the utilization of PALSAR and AVNIR2 for agriculture monitoring. L-band and multi-polarization SAR characterize PALSAR. We have investigated the capability of SAR applications for agriculture monitoring using RADARSAT data, and AVNIR was carried on ADEOS that operated from August 1...

In this study, the satellite monitoring of improved grassland management is discussed. In the satellite images acquired during the grass cutting season, mown grasslands show distinctive reflectance characteristics. Using these characteristics, we have analysed changes in grassland use and grass mowing strategies in a dairy farming region of Japan d...

In this study, we attempted to monitor the changes in the type of grassland use and advancement of grass mowing utilizing satellite data. On the satellite images acquired during the growing seasons, grasslands just after mowing showed the distinctive reflectance characteristics. Using these characteristics, we analyzed the changes in grassland-use...

In this paper, the authors developed a methodology to quantitatively estimate vegetation cover ratios using multiple types of optical sensor data and microwave backscattering characteristics of vegetation and other ground features acquired by Synthetic Aperture Radar (SAR). These data were used to analyze the effects of the eruption from Mt. Pinatu...

To use of remote sensing techniques for Agricultural monitoring, it needs semi-real time data acquisition, treatment, and distribution. For this reason we are now developing Satellite Image Data Base System (SIDaB). First, I introduce our SIDaB system, and our future plane of satellites data acquisition. Using network system such as Asia Pacific Ad...