Retrieval of leaf area index in alpine wetlands using a two-layer canopy reflectance model

2013 ◽  
Vol 21 ◽  
pp. 78-91 ◽  
Author(s):  
Binbin He ◽  
Xingwen Quan ◽  
Minfeng Xing
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Canopy Reflectance ◽  
Area Index ◽  
Reflectance Model

Retrieval of wheat leaf area index using price approach based on inversion of canopy reflectance model

2005 ◽  
Vol 33 (2) ◽  
pp. 307-313 ◽  
Author(s):  
R. P. Singh ◽  
V. K. Dadhwal ◽  
K. P. Singh ◽  
R. R. Navalgund ◽  
R. Sharma ◽  
...  
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Canopy Reflectance ◽  
Area Index ◽  
Reflectance Model ◽  
Wheat Leaf ◽  
Price Approach

Inverting a forest canopy reflectance model to retrieve the overstorey and understorey leaf area index for forest stands

2011 ◽  
Vol 32 (22) ◽  
pp. 7591-7611 ◽  
Author(s):  
Jianxi Huang ◽  
Yuan Zeng ◽  
Andres Kuusk ◽  
Bingfang Wu ◽  
Lixin Dong ◽  
...  
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Forest Canopy ◽  
Canopy Reflectance ◽  
Forest Stands ◽  
Area Index ◽  
Reflectance Model

Estimation of leaf area index by using multi-angular hyperspectral imaging data based on The two-layer canopy reflectance model

2013 ◽  
Vol 19 (3) ◽  
pp. 295-304 ◽  
Author(s):  
Qinhong Liao ◽  
Chunjiang Zhao ◽  
Guijun Yang ◽  
Craig Coburn ◽  
Jihua Wang ◽  
...  
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Hyperspectral Imaging ◽  
Canopy Reflectance ◽  
Imaging Data ◽  
Area Index ◽  
Reflectance Model

Leaf area index retrieval based on canopy reflectance and vegetation index in eastern China

2005 ◽  
Vol 15 (2) ◽  
pp. 247-254 ◽  
Author(s):  
Jianjun Jiang ◽  
Suozhong Chen ◽  
Shunxian Cao ◽  
Hongan Wu ◽  
Li Zhang ◽  
...  
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Vegetation Index ◽  
Eastern China ◽  
Canopy Reflectance ◽  
Area Index

scholarly journals Estimation of leaf area index using an angular vegetation index based on in situ measurements and CHRIS/PROBA data

2016 ◽  
Vol XLI-B7 ◽  
pp. 121-128
Author(s):  
Lijuan Wang ◽  
Guimin Zhang ◽  
Hui Lin ◽  
Liang Liang ◽  
Zheng Niu
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Vegetation Indices ◽  
Dark Spot ◽  
Canopy Reflectance ◽  
In Situ Experiment ◽  
Area Index

The Normalized Difference Vegetation Index (NDVI) is widely used for Leaf Area Index (LAI) estimation. It is well documented that the NDVI is extremely subject to the saturation problem when LAI reaches a high value. A new multi-angular vegetation index, the Hotspot-darkspot Difference Vegetation Index (HDVI) is proposed to estimate the high density LAI. The HDVI, defined as the difference between the hot and dark spot NDVI, relative to the dark spot NDVI, was proposed based on the Analytical two-layer Canopy Reflectance Model (ACRM) model outputs. This index is validated using both in situ experimental data in wheat and data from the multi-angular optical Compact High-Resolution Imaging Spectrometer (CHRIS) satellite. Both indices, the Hotspot-Darkspot Index (HDS) and the NDVI were also selected to analyze the relationship with LAI, and were compared with new index HDVI. The results show that HDVI is an appropriate proxy of LAI with higher determination coefficients (R2) for both the data from the in situ experiment (R2=0.7342, RMSE=0.0205) and the CHRIS data (R2=0.7749, RMSE=0.1013). Our results demonstrate that HDVI can make better the occurrence of saturation limits with the information of multi-angular observation, and is more appropriate for estimating LAI than either HDS or NDVI at high LAI values. Although the new index needs further evaluation, it also has the potential under the condition of dense canopies. It provides the effective improvement to the NDVI and other vegetation indices that are based on the red and NIR spectral bands.

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