An optimized non-linear vegetation index for estimating leaf area index in winter wheat
نویسندگان
چکیده
منابع مشابه
Hyperspectral Vegetation Indices for Estimation of Leaf Area Index
Spectral vegetation indices are frequently used to estimate vegetation biophysical/biochemical characteristics. In general they have been proposed to reduce spectral effects caused by external factors such as the atmosphere and the soil background. This study evaluated narrow band vegetation indices for estimation of vegetation leaf area index. The study takes advantage of using a dataset colle...
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The growth status of winter wheat in irrigated field and rainfed field are obviously different and the field types may have an effect on the predictive accuracy of hyperspectral model. The objectives of the present study were to understand the difference of spectral sensitive wavelengths for leaf area index (LAI) in two field types and realize its hyperspectral prediction. In study, a total of ...
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The most important photosynthesis acceptor – leaf area vary among cultivation measures and it is limited factor for creating exact growth models in common winter wheat. The objective of this study was to investigate changes of leaf area index (LAI) affected by agricultural treatments – 4 sowing rates and 9 nitrogen treatments based on fertilising rates, target values based on soil mineral nitro...
متن کاملDevelopment of a New BRDF-Resistant Vegetation Index for Improving the Estimation of Leaf Area Index
Su Zhang 1,2, Liangyun Liu 1,*, Xinjie Liu 1 and Zefei Liu 1,3 1 Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China; [email protected] (S.Z.); [email protected] (X.L.); [email protected] (Z.L.) 2 University of Chinese Academy of Sciences, Beijing 100049, China 3 College of Geometrics, Xi’an University of ...
متن کاملOne Method of Estimating Vegetation Leaf Area Index from ENVISAT-ASAR Data
One method of estimating vegetation Leaf Area Index (LAI) using ENVISAT-ASAR data was presented based on the ground experiment data in Heihe district, northwest China. Firstly, the vegetation species was analyzed and classified in this area and the category covered the cultural vegetation, shrub, grass, desert, needle forests, and broadleaf forests. With support of experiment data and other mat...
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ژورنال
عنوان ژورنال: Precision Agriculture
سال: 2019
ISSN: 1385-2256,1573-1618
DOI: 10.1007/s11119-019-09648-8