Results 21 to 30 of about 8,582 (258)
Remote Sensing, 2020 Remotely-sensed Vegetation Indices (VIs) are often tightly correlated with terrestrial ecosystem CO2 uptake (Gross Primary Production or GPP). These correlations have been exploited to infer GPP at local to global scales and over half-hour to decadal ...
César Hinojo-Hinojo, Michael L. Goulden
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Biomass and leaf area index of Caucasian Hackberry (Celtis caucasica Willd.) in Taileh urban forest, Sanandaj, Iran [PDF]
تحقیقات جنگل و صنوبر ایران, 2011 Urban forests with various ecological and environmental benefits are one of the most important ecosystems, therefore, study of ecological parameters in urban forests is essential. In this research, one of the oldest urban forests of Sanandaj city, Taileh,
Mahdi Pourhashemi +5 more
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Leaf area index (LAI) estimation based on vehicle-based laser scanning [PDF]
2010 IEEE International Geoscience and Remote Sensing Symposium, 2010 This paper proposes a novel approach for leaf area index (LAI) estimation based on vehicle-based laser scanning (VLS), which occurs as a state-of-the-art mapping technique. The method is advanced from the traditional terrestrial laser scanning (TLS), which has been primarily validated capable of predicting LAI.
Yi Lin, Juha Hyyppa
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Applied Sciences, 2018 Leaf area index (LAI) is an important biophysical variable for understanding the radiation use efficiency of field crops and their potential yield. On a large scale, LAI can be estimated with the help of imaging spectroscopy. However, recent studies have
Xiaochen Zou +5 more
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An Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications [PDF]
Reviews of Geophysics, 2019 AbstractLeaf area index (LAI) is a critical vegetation structural variable and is essential in the feedback of vegetation to the climate system. The advancement of the global Earth Observation has enabled the development of global LAI products and boosted global Earth system modeling studies. This overview provides a comprehensive analysis of LAI field
Fang, Hongliang +3 more
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MULTI-SENSOR APPROACH TO LEAF AREA INDEX ESTIMATION USING STATISTICAL MACHINE LEARNING MODELS: A CASE ON MANGROVE FORESTS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 Leaf Area Index (LAI) is a quantity that characterizes canopy foliage content. As leaf surfaces are the primary sites of energy, mass exchange, and fundamental production of terrestrial ecosystem, many important processes are directly proportional to LAI.
K. P. Martinez +4 more
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The Design and Implementation of the Leaf Area Index Sensor
Sensors, 2015 The quick and accurate acquisition of crop growth parameters on a large scale is important for agricultural management and food security. The combination of photographic and wireless sensor network (WSN) techniques can be used to collect agricultural ...
Xiuhong Li +5 more
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Characterizing Leaf Area Index (LAI) and Vertical Foliage Profile (VFP) over the United States [PDF]
Biogeosciences, 2015 Abstract. Leaf area index (LAI) and vertical foliage profile (VFP) are among the important canopy structural variables. Recent advances in lidar remote sensing technology have demonstrated the capability of accurately mapping LAI and VFP over large areas.
H. Tang +5 more
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Leaf area index (LAI) and gap fraction. A discussion
Baltic Forestry, 2023 Methodological aspects of estimating leaf area from gap fraction measurements are discussed. Instead of the common practice of linking in the Beer-Lambert law leaf area index and clumping factor together, the clumping factor and Ross-Nilson geometry function as two structure parameters should be combined into the effective geometry function, which ...
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Remote Sensing, 2018 Leaf area index (LAI) is an important parameter to describe the capacity of forests to intercept light and thus affects the microclimate and photosynthetic capacity of canopies.
Yonghua Qu +4 more
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