Results 181 to 190 of about 111,531 (241)

Review of methods for in situ leaf area index (LAI) determination: Part II. Estimation of LAI, errors and sampling

Agricultural and Forest Meteorology, 2004
M. Weiss, F. Baret, G.J. Smith, I. Jonckheere, P. Coppin   +4 more
semanticscholar   +2 more sources

Evaluation of MODIS surface reflectance products for wheat leaf area index (LAI) retrieval

ISPRS Journal of Photogrammetry and Remote Sensing, 2008
The accuracy of leaf area index (LAI) retrieval depends critically on the quality of the input reflectance. MODIS Collection 4 (C4) and Collection 5 (C5) land surface reflectance data are used for wheat LAI retrieval. Results are compared with in situ measurements.
Y. Yi, Dawen Yang, Jingfeng Huang, Daoyi Chen   +3 more
semanticscholar   +2 more sources

Rice Leaf Area Index (LAI) estimates from hyperspectral data

SPIE Proceedings, 2003
In this paper, we report some correlation analysis results between hyperspectral data in the spectral range of approximately 350nm-935nm and LAI of rice. Hyperspectral measurements were taken using an Analytical Spectral Devices (ASD) FieldSpec UV/VNIR Spectroradiometer at the experiment farm in 1999 and 2000.The potential of hyperspectral data for ...
Xiuzhen Wang, Jingfeng Huang, Yunmei Li, Renchao Wang   +3 more
openaire   +1 more source

Validation of global moderate resolution leaf area index (LAI) products over croplands in northeastern China

Remote Sensing of Environment, 2019
Over the last decade, a series of global moderate resolution leaf area index (LAI) products have become available and been widely applied in many disciplines.
H. Fang, Yinghui Zhang, Shanshan Wei, Wenjuan（李文娟） Li, Y. Ye, T. Sun, Weiwei Liu   +6 more
semanticscholar   +1 more source

Estimation of leaf area index (LAI) using POLInSAR: Preliminary research

2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
Polarimetric interferometric synthetic aperture radar (POLInSAR) has been used to extract the forest height successfully. Leaf area index (LAI) is an important parameter for the estimation of forest biomass, however presently the most of LAI extraction approaches are based on optical data.
Wenxue Fu, Huadong Guo, Xinwu Li
openaire   +1 more source

Sensitivity analysis for leaf area index (LAI) estimation from CHRIS/PROBA data

Frontiers of Earth Science, 2014
Sensitivity analyses were conducted for the retrieval of vegetation leaf area index (LAI) from multiangular imageries in this study. Five spectral vegetation indices (VIs) were derived from Compact High Resolution Imaging Spectrometer onboard the Project for On Board Autonomy (CHRIS/PROBA) images, and were related to LAI, acquired from in situ ...
Jianjun Cao, Zhujun Gu, Jianhua Xu, Yushan Duan, Yongmei Liu, Yongjuan Liu, Dongliang Li   +6 more
openaire   +1 more source

Estimating Urban Leaf Area Index (LAI) of Individual Trees with Hyperspectral Data

Photogrammetric Engineering & Remote Sensing, 2012
This study estimated leaf area index (LAI) of individual urban trees as a function of spectral features derived from airborne hyperspectral data. Candidate features included spectral indexes, principal components, and calibrated reflectance values. Hyperspectral images were acquired over Provo, Utah area, and LAI of 204 deciduous trees was measured in ...
Ryan R. Jensen, Perry J. Hardin, Andrew J. Hardin   +2 more
openaire   +1 more source