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 con...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.展开更多
用视景仿真软件Vega Prim e开发视景仿真应用程序,以VC++6.0编写接口程序,重点介绍了虚拟三维场景中对三维对象的拾取和漫游控制的关键技术实现原理,并将数据库技术应用到虚拟三维场景中,进行简单的交互查询功能,为将来的系统开发提供...用视景仿真软件Vega Prim e开发视景仿真应用程序,以VC++6.0编写接口程序,重点介绍了虚拟三维场景中对三维对象的拾取和漫游控制的关键技术实现原理,并将数据库技术应用到虚拟三维场景中,进行简单的交互查询功能,为将来的系统开发提供一些经验.展开更多
基金National Natural Science Foundation of China(41401419)Foundation for the Scientific Study of Chongqing University of Art and Science(R2014LX06)
文摘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.
