首页> 外文会议>ISPRS Congress >CROP SPECIES RECOGNITION AND DISCRIMINATION PADDY-RICE-GROWING-FIELDS FROM REAPED-FIELDS BY THE RADAR VEGETATION INDEX (RVI) OF ALOS-2/PALSAR2
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CROP SPECIES RECOGNITION AND DISCRIMINATION PADDY-RICE-GROWING-FIELDS FROM REAPED-FIELDS BY THE RADAR VEGETATION INDEX (RVI) OF ALOS-2/PALSAR2

机译:来自Alos-2 / Palsar2的雷达植被指数(RVI)从Realpe-Fields的作物物种识别和歧视稻米生长场

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The Japanese ALOS-2 satellite was launched on May 24th, 2014. It has the L-band SAR, PALSAR-2. Kim, Y. and van Zyl, J.J. proposed a kind of Radar Vegetation Index (RVI) as RVI = 8 * (σ~0)_hv/((σ~0)_(hh) + (σ~0)_(vv) + 2~* (σ~0)_(hv)) by L-band full-polarimetric radar data. Kim, Y. and Jackson, T.J., et al. applied the equation into rice and soybean by multi-frequency polarimetric scatterometer above 4.16 meters from the ground. Their report showed the L-band was the most promising wave length for estimating LAI and NDVI from RVI. The author tried to apply the analysis to the actual paddy field areas, both Inashiki region and Miyagi region in the eastern main island, "Honshu", areas of Japan by ALOS-2/PALSAR-2 full-polarimetry data in the summer season, the main crop growing time, of 2015. Judging from conventional methods, it will be possible to discriminate paddy rice growing fields from reaped fields or the other crops growing fields by the PALSAR-2 data. But the RVI value is vaguely related to such land use or biomass at the present preliminary experiment. The continuous research by the additional PALSAR-2 full-polarimetry data should be desired.
机译:日本Alos-2卫星于2014年5月24日推出。它有L频段SAR,Palsar-2。金,Y.和Van Zyl,J.J.提出一种雷达植被指数(RVI),如RVI = 8 *(σ〜0)_HV /((σ〜0)_(hH)+(σ〜0)_(VV)+ 2〜*(σ〜0 )_(HV))通过L波段全极化雷达数据。金,Y。和杰克逊,T.J.等。通过距离地面4.16米以上的多频偏振散射仪将方程用稻米和大豆。他们的报告显示L频段是估算RVI的LAI和NDVI最有希望的波长。提交人试图将分析应用于东部主要岛屿的实际稻田地区,位于东部主要岛屿,“Honshu”,日本地区的夏季, 2015年主要作物增长时间。从传统方法中判断,可以通过PALSAR-2数据判断从REAPERY的领域或其他作物生长领域的水稻生长领域。但是RVI值与本初步实验的这种土地使用或生物量含糊不相关。应该需要额外的PALSAR-2全偏光标数的连续研究。

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