scholarly journals Application Perspectives of the Leaf Area Index (LAI) Estimated by the Hemiview System in Forestry

2015 ◽  
Vol 33 (1) ◽  
pp. 26-34 ◽  
Author(s):  
Nerijus Sidabras ◽  
Algirdas Augustaitis
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
National Park ◽  
Coniferous Forest ◽  
Pine Needle ◽  
Area Index ◽  
Significant Relationships ◽  
Spatial Changes ◽  
Spruce Stands ◽  
Sampling Systems

AbstractLeaf area index (LAI) is widely used to describe the main characteristics of forest stands such as cover intensity at different forest levels from moss to tree as well as main stand dendrometric parameters. Hemispherical canopy photograph was used for analyzing quality and quantity of coniferous forest in Aukstaitija national park. Different sampling systems from single plots to aggregating them into stands allowed assessing significance of LAI detected by the HemiView system in forestry without special preparation. The obtained data revealed that the use of hemispheric photograph for LAI estimation in multi-aged and multi-layered mature and over mature pine and spruce stands was rather problematic. Only cover intensity of understory vegetation (grasses and mosses) was reflected best. In pure pine stands LAI also significantly reflected spatial changes in cover intensity of shrubs, grasses and mosses levels and in addition - spatial changes in main dendrometric stand parameters. Key findings - significant relationships between LAI detected in November and pine needle litterfall over September-October. It allowed detecting significance of LAI in mass balance of the main nutritional and contaminant components calculations. LAI increase by 1 m2m−2increased total litterfall amount by 1.7 t ha−1in a pure mature pine forest. The obtained results indicated good perspectives of LAI detected by HemiView system in forestry even without special their preparation.

scholarly journals Quantifying the Effects of Normalisation of Airborne LiDAR Intensity on Coniferous Forest Leaf Area Index Estimations

2017 ◽  
Vol 9 (2) ◽  
pp. 163 ◽  
Author(s):  
Haotian You ◽  
Tiejun Wang ◽  
Andrew Skidmore ◽  
Yanqiu Xing
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Coniferous Forest ◽  
Airborne Lidar ◽  
Area Index

scholarly journals Above-Ground Net Primary Production, Leaf Area Index, and Nitrogen Dynamics in Early Post-Fire Vegetation, Yellowstone National Park

1997 ◽  
Vol 21 ◽  
pp. 130-134
Author(s):  
Monica Turner ◽  
Rebecca Reed ◽  
William Romme ◽  
Mary Finley ◽  
Dennis Knight
Keyword(s):  
Primary Production ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Yellowstone National Park ◽  
National Park ◽  
Net Primary Production ◽  
Lodgepole Pine ◽  
Fire Severity ◽  
Ecosystem Processes ◽  
Area Index

The 1988 fires in Yellowstone National Park (YNP), Wyoming, affected >250,000 ha, creating a striking mosaic of burn severities across the landscape which is likely to influence ecological processes for decades to come (Christensen et al. 1989, Knight and Wallace 1989, Turner et al.1994). Substantial spatial heterogeneity in early post-fire succession has been observed in the decade since the fires, resulting largely from spatial variation in fire severity and in the availability of lodgepole pine (Pinus contorta var. latifolia) seeds in or near the burned area (Anderson and Romme 1991, Tinker et al. 1994, Turner et al. 1997). Post­fire vegetation now includes pine stands ranging from relatively low to extremely high pine sapling density (ca 10,000 to nearly 100,000 stems ha-1) as well as non-forest or marginally forested vegetation across the Yellowstone landscape may influence ecosystem processes related to energy flow and biogeochemisty. We also are interested in how quickly these processes may return to their pre­ disturbance characteristics. In this pilot study, we began to address these general questions by examining the variation in above-ground net primary production (ANPP), leaf area index (LAI) of tree (lodgepole pine) and herbaceous components, and rates of nitrogen mineralization and loss in successional stands 9 years after the fires. ANPP measures the cumulative new biomass generated over a given period of time, and is a fundamental ecosystem property often used to compare ecosystems (Carpenter 1998). Leaf area (typically expressed as leaf area index [LAI], i.e., leaf area per unit ground surface area) influences rates of two fundamental ecosystem processes -­ primary productivity and transpiration -- and is communities (

scholarly journals Numerical Assessments of Leaf Area Index in Tropical Savanna Rangelands, South Africa Using Landsat 8 OLI Derived Metrics and In-Situ Measurements

2019 ◽  
Vol 11 (7) ◽  
pp. 829 ◽  
Author(s):  
Timothy Dube ◽  
Santa Pandit ◽  
Cletah Shoko ◽  
Abel Ramoelo ◽  
Dominic Mazvimavi ◽  
...  
Keyword(s):  
South Africa ◽  
Leaf Area Index ◽  
Leaf Area ◽  
National Park ◽  
Dry Season ◽  
Kruger National Park ◽  
Landsat 8 ◽  
Tropical Savanna ◽  
Wet Season ◽  
Area Index

Knowledge on rangeland condition, productivity patterns and possible thresholds of potential concern, as well as the escalation of risks in the face of climate change and variability over savanna grasslands is essential for wildlife/livestock management purposes. The estimation of leaf area index (LAI) in tropical savanna ecosystems is therefore fundamental for the proper planning and management of this natural capital. In this study, we assess the spatio-temporal seasonal LAI dynamics (dry and wet seasons) as a proxy for rangeland condition and productivity in the Kruger National Park (KNP), South Africa. The 30 m Landsat 8 Operational Land Imager (OLI) spectral bands, derived vegetation indices and a non-parametric approach (i.e., random forest, RF) were used to assess dry and wet season LAI condition and variability in the KNP. The results showed that RF optimization enhanced the model performance in estimating LAI. Moderately high accuracies were observed for the dry season (R2 of 0.63–0.72 and average RMSE of 0.60 m2/m2) and wet season (0.62–0.63 and 0.79 m2/m2). Derived thematic maps demonstrated that the park had high LAI estimates during the wet season when compared to the dry season. On average, LAI estimates ranged between 3 and 7 m2/m2 during the wet season, whereas for the dry season most parts of the park had LAI estimates ranging between 0.00 and 3.5 m2/m2. The findings indicate that Kruger National Park had high levels of productivity during the wet season monitoring period. Overall, this work shows the unique potential of Landsat 8-derived metrics in assessing LAI as a proxy for tropical savanna rangelands productivity. The result is relevant for wildlife management and habitat assessment and monitoring.

Retrieving leaf area index for coniferous forest in Xingguo County, China with Landsat ETM+ images

2007 ◽  
Vol 85 (3) ◽  
pp. 624-627 ◽  
Author(s):  
Q. Tian ◽  
Z. Luo ◽  
J.M. Chen ◽  
M. Chen ◽  
F. Hui
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Coniferous Forest ◽  
Area Index

An assessment of the MODIS collection 5 leaf area index product for a region of mixed coniferous forest

2011 ◽  
Vol 115 (2) ◽  
pp. 767-780 ◽  
Author(s):  
M.G. De Kauwe ◽  
M.I. Disney ◽  
T. Quaife ◽  
P. Lewis ◽  
M. Williams
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Coniferous Forest ◽  
Area Index

scholarly journals Rapid Estimation of Coniferous Forest Leaf Area Index Using a Portable Integrating Radiometer

Ecology ◽  
1988 ◽  
Vol 69 (6) ◽  
pp. 1762-1767 ◽  
Author(s):  
Lars L. Pierce ◽  
Steven W. Running
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Coniferous Forest ◽  
Area Index ◽  
Rapid Estimation
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