Results 81 to 90 of about 111,511 (222)

Inconsistencies of interannual variability and trends in long-term satellite leaf area index products [PDF]

, 2017
Understanding the long-term performance of global satellite leaf area index (LAI) products is important for global change research. However, few effort has been devoted to evaluating the long-term time-series consistencies of LAI products.
Claverie, Martin, Fang, Hongliang, Jiang, Chongya, Myneni, Ranga, Ryu, Youngryel, Zhu, Zaichun   +5 more
core   +1 more source

Ground-based estimation of leaf area index and vertical distribution of leaf area density in a Betula ermanii forest

Silva Fennica, 2009
We developed a ground-based method for estimating leaf area index (LAI) and vertical distribution of leaf area density (LAD) for two Betula ermanii plots, combining an allometric method for tree leaf area with the MacArthur–Horn (MH) method using a ...
Sumida, Akihiro, Nakai, Taro, Yamada, Masahito, Ono, Kiyomi, Uemura, Shigeru, Hara, Toshihiko   +5 more
doaj   +1 more source

Continuous Leaf Area Index (LAI) Observation in Forests: Validation, Application, and Improvement of LAI-NOS

Forests
The leaf area index (LAI) is one of the core parameters reflecting the growth status of vegetation. The continuous long-term observation of the LAI is key when assessing the dynamic changes in the energy exchange of ecosystems and the vegetation’s response indicators to climate change.
Zhentao Gao, Yunping Chen, Zhengjian Zhang, Tianxin Duan, Juncheng Chen, Ainong Li   +5 more
openaire   +1 more source

Estimating the crop leaf area index using hyperspectral remote sensing

Journal of Integrative Agriculture, 2016
: The leaf area index (LAI) is an important vegetation parameter, which is used widely in many applications. Remote sensing techniques are known to be effective but inexpensive methods for estimating the LAI of crop canopies. During the last two decades,
Ke LIU, Qing-bo ZHOU, Wen-bin WU, Tian XIA, Hua-jun TANG   +4 more
doaj   +1 more source

Seasonal LAI in slash pine estimated with LANDSAT TM [PDF]

The leaf area index (LAI, total area of leaves per unit area of ground) of most forest canopies varies throughout the year, yet for logistical reasons it is difficult to estimate anything more detailed than a seasonal maximum LAI.
Curran, Paul J., Dungan, Jennifer L., Gholz, Henry L.   +2 more
core   +1 more source

Prototyping of LAI and FPAR retrievals from MODIS multi-angle implementation of atmospheric correction (MAIAC) data [PDF]

, 2017
Leaf area index (LAI) and fraction of photosynthetically active radiation (FPAR) absorbed by vegetation are key variables in many global models of climate, hydrology, biogeochemistry, and ecology.
Chen, Chi, Knyazikhin, Yuri, Lyapustin, Alexei, Myneni, Ranga B., Park, Taejin, Wang, Yujie, Yan, Kai, Yang, Bin   +7 more
core   +2 more sources

Measuring Leaf Area Index (LAI) with the LI-Cor LAI 2200C or LAI-2200 (+2200Clear Kit) – theory, measurement, problems, interpretation [PDF]

, 2015
EnMAP Flight Campaigns Technical Report;
Danner, M., Locherer, M., Hank, T., Richter, K.   +3 more
openaire   +2 more sources

VitiCanopy: A Free Computer App to Estimate Canopy Vigor and Porosity for Grapevine

Sensors, 2016
Leaf area index (LAI) and plant area index (PAI) are common and important biophysical parameters used to estimate agronomical variables such as canopy growth, light interception and water requirements of plants and trees.
Roberta De Bei, Sigfredo Fuentes, Matthew Gilliham, Steve Tyerman, Everard Edwards, Nicolò Bianchini, Jason Smith, Cassandra Collins   +7 more
doaj   +1 more source

Plant Development and Leaf Area Production in Contrasting Cultivars of Maize Grown in a Cool Temperate Environment in the Field [PDF]

, 2003
Crop models need accurate simulation of the interdependent processes of crop development and leaf area production. Crop development proceeds according to genotype characteristics and environmental influences, specifically temperature and photoperiod.
Birch, Birch, Birch, Birch, Birch, Birch, Bonhomme, Bonhomme, C.J. Birch, Carberry, Carberry, Dwyer, Fournier, Giauffert, Holzworth, J. Vos, Keating, Kiniry, Moncur, Montgomery, Muchow, P.E.L. van der Putten, Sinclair, Stapper, Struik, Tollenaar, Warrington, Wilkinson   +27 more
core   +2 more sources

The Impact of Potential Land Cover Misclassification on MODIS Leaf Area Index (LAI) Estimation: A Statistical Perspective

Remote Sensing, 2013
Understanding the impact of vegetation mixture and misclassification on leaf area index (LAI) estimation is crucial for algorithm development and the application community.
H. Fang, Wenjuan（李文娟） Li, R. Myneni   +2 more
semanticscholar   +1 more source