首页> 外文会议>Conference on SAR image analysis, modeling, and techniques >COSMO-SkyMed~® potentiality to identify crop-specific behavior and monitor phenological parameters
【24h】

COSMO-SkyMed~® potentiality to identify crop-specific behavior and monitor phenological parameters

机译:COSMO-SkyMed〜®识别特定作物行为并监测物候参数的潜力

获取原文
获取外文期刊封面目录资料

摘要

This work aims at investigating the capability of COSMO-SkyMed~® (CSK~®) constellation of Synthetic Aperture Radar (SAR) system to monitor the Leaf Area Index (LAI) of different crops. The experiment was conducted in the Marchfeld Region, an agricultural Austrian area, and focused on five crop species: sugar beet, soybean, potato, pea and corn. A linear regression analysis was carried out to assess the sensitivity of CSK~® backscattering coefficients to crops changes base on LAI values. CSK~® backscattering coefficients were averaged at a field scale (<σ~o_(dB)>) and were compared to the DEIMOS-1 derived values of estimated LAI. LAI were as well averaged over the corresponding fields (). CSK~® data acquired at three polarizations (HH, VV and VH), four incidence angles (23°, 33°, 40° and 57°) and at different pixel spacings (2.5 m and 10 m) were tested to assess whether spatial resolution may influence results at a field scale and to find the best combination of polarizations and CSK~® acquisition beams which indicate the highest sensitivity to crop LAI values. The preliminary results show that sugar beet can be well monitored (r = 0.72 - 0.80) by CSK~® by using any of the polarization acquisition modes, at moderate to shallow incidence angles (33° - 57°). Slightly weaker correlations were found, at VH polarization only, between CSK~® < σ~o_(dB)> and for potato (r = 0.65), pea (r = 0.65) and soybean (r = -0.83). Shallower view incidence angles seem to be preferable to steep ones in most cases. CSK~® backscattering coefficients were no sensitive at all to LAI changes for already developed corn fields.
机译:这项工作的目的是研究合成孔径雷达(SAR)系统的COSMO-SkyMed〜®(CSK〜®)星座监视不同作物的叶面积指数(LAI)的能力。该实验是在奥地利农业地区的Marchfeld地区进行的,重点研究了五种作物:甜菜,大豆,马铃薯,豌豆和玉米。进行了线性回归分析,以评估CSK〜®后向散射系数对基于LAI值的农作物变化的敏感性。在场标度(<σ_o_(dB)>)上平均CSK®后向散射系数,并将其与DEIMOS-1得出的估计LAI值进行比较。在相应字段()上也对LAI进行平均。测试了在三个偏振(HH,VV和VH),四个入射角(23°,33°,40°和57°)和不同像素间距(2.5 m和10 m)下获取的CSK〜数据,以评估是否空间分辨率可能会影响田间规模的结果,并找到极化和CSK〜®采集光束的最佳组合,这表明对农作物LAI值的最高灵敏度。初步结果表明,通过使用任何极化采集模式,在中等到浅入射角(33°-57°)上,CSK®都能很好地监测甜菜(r = 0.72-0.80)。对于马铃薯(r = 0.65),豌豆(r = 0.65)和大豆(r =- 0.83)。在大多数情况下,较浅的视角入射角似乎比陡峭的视角更可取。对于已经开发的玉米田,CSK〜®后向散射系数对LAI的变化完全不敏感。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号