scholarly journals Effect of measure units on estimating crop LEAF chlorophyll content with remote sensing

2019 ◽  
Vol 2019 (23) ◽  
pp. 8627-8631
Author(s):  
Chao Wang ◽  
Changlin Bian ◽  
Hongyan Xing ◽  
Xuehong Zhang ◽  
Yi Shen
Keyword(s):  
Remote Sensing ◽  
Chlorophyll Content ◽  
Leaf Chlorophyll Content ◽  
Leaf Chlorophyll

Remote sensing of leaf chlorophyll content at multiple scales using red, green, and blue bands

2010 ◽  
Author(s):  
E. Raymond Hunt, Jr. ◽  
Daniel S. Long ◽  
Jan U. H. Eitel ◽  
C. S. T. Daughtry
Keyword(s):  
Remote Sensing ◽  
Chlorophyll Content ◽  
Multiple Scales ◽  
Leaf Chlorophyll Content ◽  
Leaf Chlorophyll

scholarly journals A visible band index for remote sensing leaf chlorophyll content at the canopy scale

2013 ◽  
Vol 21 ◽  
pp. 103-112 ◽  
Author(s):  
E. Raymond Hunt ◽  
Paul C. Doraiswamy ◽  
James E. McMurtrey ◽  
Craig S.T. Daughtry ◽  
Eileen M. Perry ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Chlorophyll Content ◽  
Leaf Chlorophyll Content ◽  
Visible Band ◽  
Leaf Chlorophyll ◽  
Band Index

Remote Sensing Leaf Chlorophyll Content Using a Visible Band Index

2011 ◽  
Vol 103 (4) ◽  
pp. 1090-1099 ◽  
Author(s):  
E. Raymond Hunt ◽  
C. S. T. Daughtry ◽  
Jan U. H. Eitel ◽  
Dan S. Long
Keyword(s):  
Remote Sensing ◽  
Chlorophyll Content ◽  
Leaf Chlorophyll Content ◽  
Visible Band ◽  
Leaf Chlorophyll ◽  
Band Index

scholarly journals Using Multi-Angular Hyperspectral Data to Estimate the Vertical Distribution of Leaf Chlorophyll Content in Wheat

2021 ◽  
Vol 13 (8) ◽  
pp. 1501
Author(s):  
Bin Wu ◽  
Wenjiang Huang ◽  
Huichun Ye ◽  
Peilei Luo ◽  
Yu Ren ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Vertical Distribution ◽  
Chlorophyll Content ◽  
Spectral Response ◽  
Middle Layer ◽  
Bottom Layer ◽  
Estimation Accuracy ◽  
Leaf Chlorophyll Content ◽  
Leaf Chlorophyll ◽  
The Vertical Distribution

Heterogeneity exists in the vertical distribution of the biochemical components of crops. A leaf chlorophyll deficiency occurs in the bottom- and middle-layers of crops due to nitrogen stress and leaf senescence. Some studies used multi-angular remote sensing data for estimating the vertical distribution of the leaf chlorophyll content (LCC). However, these studies performed LCC inversion of different vertical layers using a fixed view zenith angle (VZA), but rarely considered the contribution of the components of the non-target layers to the spectral response. The main goal of this work was to determine the LCC of different vertical layers of the canopy of winter wheat (Triticum aestivum L.), using multi-angular remote sensing and spectral vegetation indices. Different combinations of VZAs were used for obtaining the LCC of different layers. The results revealed that the responses of the transformed chlorophyll in reflectance absorption index (TCARI) and modified chlorophyll absorption in reflectance index (MCARI)/optimized soil-adjusted vegetation index (OSAVI) to the upper-layer LCC were strongest at VZA 10°. For the middle-layer LCC, the response was strongest at 30°, but the response was significantly lower than that of the upper-layer. For the bottom-layer LCC, the responses were weak due to the obscuring effect of the upper- and middle-layer; thus, the LCC inversion of the bottom-layer data was not optimal for a single VZA. The optimal VZA or VZA combinations for LCC estimation were VZA 10° for the upper-layer LCC (TCARI with coefficient of determination (R2) = 0.69, root mean square error (RMSE) = 4.80 ug/cm2, MCARI/OSAVI with R2 = 0.73, RMSE = 4.17 ug/cm2), VZA 10° and 30° for the middle-layer LCC (TCARI with R2 = 0.17, RMSE = 4.81 ug/cm2, MCARI/OSAVI with R2 = 0.17, RMSE = 4.76 ug/cm2), and VZA 10°, 30°, and 50° for the bottom-layer LCC (TCARI with R2 = 0.40, RMSE = 6.29 ug/cm2, MCARI/OSAVI with R2 = 0.40, RMSE = 6.36 ug/cm2). The proposed observation strategy provided a significantly higher estimation accuracy of the target layer LCC than the single VZA approach, and demonstrated the ability of canopy multi-angular spectral reflectance to accurately estimate the wheat canopy chlorophyll content vertical distribution.

Sign in / Sign up

Export Citation Format

Share Document