Results 241 to 250 of about 778,318 (303)

Assessment of red-edge vegetation indices for crop leaf area index estimation

Remote Sensing of Environment, 2019
This study explores the potential of vegetation indices (VIs) for crop leaf area index (LAI) estimation, with a focus on comparing red-edge reflectance based (RE-based) and the visible reflectance based (VIS-based) VIs.
T. Dong, Jiangui Liu, J. Shang, B. Qian, B. Ma, J. Kovacs, D. Walters, X. Jiao, X. Geng, Yichao Shi   +9 more
semanticscholar   +1 more source

Estimating crop biomass using leaf area index derived from Landsat 8 and Sentinel-2 data

, 2020
The availability of Landsat 8 and Sentinel-2 has led to a steady increase in both temporal and spatial resolution of satellite data, offering new opportunities for large-scale crop condition monitoring and crop yield mapping.
T. Dong, Jiangui Liu, B. Qian, Liming He, Jane Liu, Rong Wang, Qi Jing, C. Champagne, H. Mcnairn, J. Powers, Yichao Shi, Jing M. Chen, J. Shang   +12 more
semanticscholar   +1 more source

Leaf Area Index

2013
This chapter briefly introduces the inversion algorithms used, discusses the product characteristics and validation results, and presents preliminary analyses and applications. The inversion algorithm was developed to estimate LAI from time-series remote sensing data using general regression neural networks (GRNNs).
Shunlin Liang, Xiaotong Zhang, Zhiqiang Xiao, Jie Cheng, Qiang Liu, Xiang Zhao   +5 more
openaire   +1 more source

Relationship between tillering and leaf area index: quantifying critical leaf area index for tillering in rice

The Journal of Agricultural Science, 2002
A field study was conducted at the International Rice Research Institute (IRRI), Philippines during the dry seasons of 1997 and 1998 under irrigated conditions. The objectives of this study were to quantify the critical leaf area index (LAIc) at which tillering stops based on the relationship between tillering rate and LAI, and to determine the effect ...
X. ZHONG, S. PENG, J. E. SHEEHY, R. M. VISPERAS, H. LIU   +4 more
openaire   +1 more source

Critical Leaf Area Index in Pigeonpea

Journal of Agronomy and Crop Science, 1987
AbstractExperiment conducted with six pigeonpea cultivars over three seasons revealed that the critical leaf area index was 5.3 which coincided with the maximum crop growth rate and optimum net assimilation rate. It was also evident that the crop growth rate was influenced more by NAR rather than LAI. This study also suggests that by maintaining higher
K. Balakrishnan, N. Natarajaratnam, C. Rajendran   +2 more
openaire   +1 more source

Prediction of leaf area index in almonds by vegetation indexes

Computers and Electronics in Agriculture, 2012
Three levels of scale for determining leaf area index (LAI) were explored within an almond orchard of alternating rows of Nonpareil and Monterey varieties using hemispherical photography and mule lightbar (MLB) at ground level up to airborne and satellite imagery.
Jose L. Zarate-Valdez, Michael L. Whiting, Bruce D. Lampinen, Samuel Metcalf, Susan L. Ustin, Patrick H. Brown   +5 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

Leaf Area Index

2008
International ...
openaire   +2 more sources

Scale Effect in Indirect Measurement of Leaf Area Index

IEEE Transactions on Geoscience and Remote Sensing, 2016
Scale effect, which is caused by a combination of model nonlinearity and surface heterogeneity, has been of interest to the remote sensing community for decades. However, there is no current analysis of scale effect in the ground-based indirect measurement of leaf area index (LAI), where model nonlinearity and surface heterogeneity also exist.
Guangjian Yan, Ronghai Hu, Yiting Wang, Huazhong Ren, Wanjuan Song, Jianbo Qi, Ling Chen 0009   +6 more
openaire   +2 more sources

Inversion of rice canopy chlorophyll content and leaf area index based on coupling of radiative transfer and Bayesian network models

Isprs Journal of Photogrammetry and Remote Sensing, 2019
The radiative transfer model (RTM) simulates forward spectral reflectance of vegetation and is used to estimate physical parameters using backwards inversion.
Xinjie Xu, Jingshan Lu, Ni Zhang, Tiancheng Yang, Jiaoyang He, Xia Yao, T. Cheng, Yan Zhu, W. Cao, Yongchao Tian   +9 more
semanticscholar   +1 more source