New Index for Crop Canopy Fresh Biomass Estimation
New Index for Crop Canopy Fresh Biomass Estimation
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DOI：
10.3964/j.issn.1000-0593(2010)02-0512-06
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发表时间：
2010-02-01
影响因子：
0.7
通讯作者：
Li Bao-guo
中科院分区：
文献类型：
--
作者：
Chen Peng-fei;Tremblay, Nicolas;Li Bao-guo
本研究的目的是提出一个新的植被指数玉米冠层鲜生物量估计，提高了准确估计高生物量水平的遥感技术的能力。为此目的，高光谱反射率数据的玉米冠层收集使用地面分光辐射计在不同的领域活动在魁北克（加拿大）的一个地区，从2004年至2008年。通过破坏性测量获得了相应的新鲜生物量值，并于2005年使用紧凑型机载光谱成像仪（CASI）获得了高光谱图像。设计了一个新的生物量指数红边三角植被指数（RTVI），并与现有的鲜生物量估算指数进行了比较。结果表明，RTVI是预测冠层鲜生物量的最佳植被指数，在高鲜生物量水平下具有持续的敏感性。RTVI与冠层鲜生物量的最佳回归模型为幂拟合，决定系数（R-2）为0。96.利用2005年CASI影像进行验证，取得了较好的效果。CAST预测生物量与实际生物量的相关系数为0。58（R-2），RMSE为0。44公斤中心点米（-2）。
The objective of the present study is to propose a new vegetation index for corn canopy fresh biomass estimation, which improves the ability to accurately estimate high biomass levels by remote sensing technology. For this purpose, hyperspectral reflectance data of corn canopies were collected using a ground-based spectroradiometer during different field campaigns in a region of Quebec (Canada), from 2004 to 2008. Corresponding fresh biomass values were obtained by destructive measurements, and a hyperspectral image was also acquired using the Compact Airborne Spectrographic Imager (CASI) in 2005. A new biomass index named red-edge triangular vegetation index (RTVI) was designed and compared to existing indices used for fresh biomass estimation. The results showed that RTVI was the best vegetation index for predicting canopy fresh biomass, with sustained sensitivity at high fresh biomass levels. The best regression model between RTVI and canopy fresh biomass was the power fit, with determination coefficient (R-2) of 0. 96. With the validation by CASI imagery in 2005, good results were obtained. The relationship between CAST predicted biomass and actual biomass was 0. 58 (R-2), with the RMSE of 0. 44 kg center dot m(-2).