Leaf area index estimation using top-of-canopy airborne RGB images
نویسندگان
چکیده
منابع مشابه
estimation of leaf area index using irs satellite images
estimation of vegetation cover attributes, such as the leaf area index (lai), is an important step in identifying the amount of water use for some plants. the goal of this study is to investigate the feasibility of using irs liss-iii data to retrieve lai. to get a lai retrieval model based on reflectance and vegetation index, detailed field data were collected in the study area of eastern iran....
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Non-destructive estimation using digital cameras is a common approach for estimating leaf area index (LAI) of terrestrial vegetation. However, no attempt has been made so far to develop non-destructive approaches to LAI estimation for aquatic vegetation. Using the submerged plant species Potamogeton malainus, the objective of this study was to determine whether the gap fraction derived from ver...
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Remotely sensed images including LANDSAT, SPOT, NAIP orthoimagery, and LiDAR and relevant processing tools can be used to predict plant stomatal conductance (gs), leaf area index (LAI), and canopy temperature, vegetation density, albedo, and soil moisture using vegetation indices like normalized difference vegetation index (NDVI) or soil adjusted vegetation index (SAVI) developed with near infr...
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The boreal zone land cover has a very significant influence on the northern hemisphere albedo and is an important component of the northern hemisphere carbon budget [1, 2] and is sensitive to changes in local and global climate [3]. Forest transition zones react to changes in mean temperature and moisture conditions in the long term [4] whereas changes in, for example, forest leaf area index (L...
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ژورنال
عنوان ژورنال: International Journal of Applied Earth Observation and Geoinformation
سال: 2021
ISSN: 0303-2434
DOI: 10.1016/j.jag.2020.102282