Results 181 to 190 of about 106,574 (240)
Leaf physio-biochemical traits and antioxidant responses of Malva sylvestris to drought stress. [PDF]
Zeinab Z +3 more
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Elucidation of morphological and physiological traits contributing to high biomass productivity and consistently high yield in the high-yielding rice variety Kitagenki. [PDF]
Yagioka A +3 more
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Effects of Canopy Litter Removal on Canopy Structure, Understory Light and Vegetation Dynamics in <i>Cunninghamia lanceolata</i> Plantations of Varying Densities. [PDF]
Zhou L +6 more
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Regional Emergence of Water-Related Browning in a Greening World. [PDF]
Orth R +16 more
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A review on the leaf area index (LAI) in vertical greening systems
Abstract: The leaf area index (LAI) is a key dynamic parameter in Vertical Greening Systems (VGS). It quantifies the total amount of leaf area in the canopy and largely determines the extent of co-benefits of VGS. Whereas many studies on VGS discuss the importance of the LAI, only few elaborate on the parameter itself, how it is determined and what the
A. De Bock +5 more
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Rice Leaf Area Index (LAI) estimates from hyperspectral data
SPIE Proceedings, 2003In this paper, we report some correlation analysis results between hyperspectral data in the spectral range of approximately 350nm-935nm and LAI of rice. Hyperspectral measurements were taken using an Analytical Spectral Devices (ASD) FieldSpec UV/VNIR Spectroradiometer at the experiment farm in 1999 and 2000.The potential of hyperspectral data for ...
Xiuzhen Wang +3 more
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Estimation of leaf area index (LAI) using POLInSAR: Preliminary research
2011 IEEE International Geoscience and Remote Sensing Symposium, 2011Polarimetric interferometric synthetic aperture radar (POLInSAR) has been used to extract the forest height successfully. Leaf area index (LAI) is an important parameter for the estimation of forest biomass, however presently the most of LAI extraction approaches are based on optical data.
Wenxue Fu, Huadong Guo, Xinwu Li
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