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基于高光谱植被指数的黑河流域作物叶绿素含量制图(英文) 被引量:1

Chlorophyll content mapping of crops in Heihe River Basin based on hyperspectral vegetation indices
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摘要 Recent advances in optical remote sensing led to improved methodologies to monitor crop properties.The red-edge-based vegetation index considered to be one of the most powerful tools for estimating the chlorophyll content(Chl)was usually constructed from in-situ hyperspectral reflectance.In this paper,we present the work done to compare the Chl predictive quality by various red-edge-based vegetation indices based on the CASI data.The results indicated that among the selected vegetation indices,TCARI/OSAVI-based model estimated Chl(R2=0.46,RMSE=0.60 and P<0.01)with the best accuracy.To search the optimal vegetation index for Chl estimation,the normalized difference spectral index(NDSI)and ratio spectral index(RSI)were developed by using the waveband combination algorithm.A high linear correlation(R2=0.79,RMSE=0.38 and P<0.01)was acquired by combining the 869.20 and 754.90 nm wavebands,then NDSI(869.20,754.90)was applied to the CASI image to generate the Chl distribution map.It suggests that more fertilizer should be provided for the southwest areas due to the lower Chl. Recent advances in optical remote sensing led to improved methodologies to monitor crop properties.The red-edge-based vegetation index considered to be one of the most powerful tools for estimating the chlorophyll content(Chl)was usually constructed from in-situ hyperspectral reflectance.In this paper,we present the work done to compare the Chl predictive quality by various red-edge-based vegetation indices based on the CASI data.The results indicated that among the selected vegetation indices,TCARI/OSAVI-based model estimated Chl(R2=0.46,RMSE=0.60 and P<0.01)with the best accuracy.To search the optimal vegetation index for Chl estimation,the normalized difference spectral index(NDSI)and ratio spectral index(RSI)were developed by using the waveband combination algorithm.A high linear correlation(R2=0.79,RMSE=0.38 and P<0.01)was acquired by combining the 869.20 and 754.90 nm wavebands,then NDSI(869.20,754.90)was applied to the CASI image to generate the Chl distribution map.It suggests that more fertilizer should be provided for the southwest areas due to the lower Chl.
作者 廖钦洪
出处 《农业工程学报》 EI CAS CSCD 北大核心 2015年第S2期159-163,共5页 Transactions of the Chinese Society of Agricultural Engineering
基金 National Natural Science Foundation of China(41401419) Foundation for the Scientific Study of Chongqing University of Art and Science(R2014LX06)
关键词 CHLOROPHYLL ALGORITHMS MAPPING red-edge-based vege chlorophyll algorithms mapping red-edge-based vege
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