Leaf area index measurements at the middle reaches of Heihe River forest sites

2008 ◽  
Author(s):  
Jie Zou ◽  
Guang-jian Yan ◽  
Wu-ming Zhang ◽  
Ling Zhu ◽  
Ling Chen
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Heihe River ◽  
Area Index ◽  
Forest Sites

Variational retrieval of leaf area index from MODIS time series data: examples from the Heihe river basin, north-west China

2011 ◽  
Vol 33 (3) ◽  
pp. 730-745 ◽  
Author(s):  
Zhiqiang Xiao ◽  
Jindi Wang ◽  
Shunlin Liang ◽  
Hongmin Zhou ◽  
Xijia Li ◽  
...  
Keyword(s):  
Time Series ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Time Series Data ◽  
Series Data ◽  
Heihe River ◽  
Area Index ◽  
West China ◽  
North West ◽  
The Heihe River Basin

scholarly journals Leaf Area Index Retrieval Combining HJ1/CCD and Landsat8/OLI Data in the Heihe River Basin, China

2015 ◽  
Vol 7 (6) ◽  
pp. 6862-6885 ◽  
Author(s):  
Jing Zhao ◽  
Jing Li ◽  
Qinhuo Liu ◽  
Wenjie Fan ◽  
Bo Zhong ◽  
...  
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
River Basin ◽  
Heihe River Basin ◽  
Heihe River ◽  
Area Index ◽  
The Heihe River Basin

Leaf area index measurements at Fluxnet-Canada forest sites

2006 ◽  
Vol 140 (1-4) ◽  
pp. 257-268 ◽  
Author(s):  
Jing M. Chen ◽  
Ajit Govind ◽  
Oliver Sonnentag ◽  
Yongqin Zhang ◽  
Alan Barr ◽  
...  
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Area Index ◽  
Forest Sites

scholarly journals Canopy structure and topography effects on snow distribution at a catchment scale: Application of multivariate approaches

2018 ◽  
Vol 66 (1) ◽  
pp. 43-54 ◽  
Author(s):  
Michal Jenicek ◽  
Hana Pevna ◽  
Ondrej Matejka
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Snow Depth ◽  
Forest Canopy ◽  
Snow Water Equivalent ◽  
Canopy Structure ◽  
Catchment Scale ◽  
Area Index ◽  
Forest Sites ◽  
Hemispherical Photographs

Abstract The knowledge of snowpack distribution at a catchment scale is important to predict the snowmelt runoff. The objective of this study is to select and quantify the most important factors governing the snowpack distribution, with special interest in the role of different canopy structure. We applied a simple distributed sampling design with measurement of snow depth and snow water equivalent (SWE) at a catchment scale. We selected eleven predictors related to character of specific localities (such as elevation, slope orientation and leaf area index) and to winter meteorological conditions (such as irradiance, sum of positive air temperature and sum of new snow depth). The forest canopy structure was described using parameters calculated from hemispherical photographs. A degree-day approach was used to calculate melt factors. Principal component analysis, cluster analysis and Spearman rank correlation were applied to reduce the number of predictors and to analyze measured data. The SWE in forest sites was by 40% lower than in open areas, but this value depended on the canopy structure. The snow ablation in large openings was on average almost two times faster compared to forest sites. The snow ablation in the forest was by 18% faster after forest defoliation (due to the bark beetle). The results from multivariate analyses showed that the leaf area index was a better predictor to explain the SWE distribution during accumulation period, while irradiance was better predictor during snowmelt period. Despite some uncertainty, parameters derived from hemispherical photographs may replace measured incoming solar radiation if this meteorological variable is not available.

Evaluation of seasonal variation of MODIS derived leaf area index at two European deciduous broadleaf forest sites

2005 ◽  
Vol 96 (3-4) ◽  
pp. 475-484 ◽  
Author(s):  
Q WANG ◽  
J TENHUNEN ◽  
N DINH ◽  
M REICHSTEIN ◽  
D OTIENO ◽  
...  
Keyword(s):  
Seasonal Variation ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Broadleaf Forest ◽  
Area Index ◽  
Forest Sites ◽  
Deciduous Broadleaf Forest
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