Remote estimation of fraction of radiation absorbed by photosynthetically active vegetation: generic algorithm for maize and soybean

The objective of this study is to develop generic algorithm for estimating fraction of radiation absorbed by photosynthetically active vegetation not requiring parameterization for C3 and C4 crops, maize and soybean, with contrasting photosynthetic pathways, canopy architectures and leaf structures....

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Bibliographic Details
Published inRemote sensing letters Vol. 10; no. 3; pp. 283 - 291
Main Author Gitelson, Anatoly A.
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 04.03.2019
Taylor & Francis Ltd
Subjects
Algorithms
Cereal crops
Corn
Cultivars
Data acquisition
Estimation
Hybrids
Normalized difference vegetative index
Parameterization
Photosynthesis
Photosynthetically active radiation
Plant cover
Radiation
Soybeans
Vegetation
Vegetation index
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Summary:The objective of this study is to develop generic algorithm for estimating fraction of radiation absorbed by photosynthetically active vegetation not requiring parameterization for C3 and C4 crops, maize and soybean, with contrasting photosynthetic pathways, canopy architectures and leaf structures. The study based on data acquired during eight years, altogether 16 site years of maize (12 irrigated and 4 rainfed, nine hybrids) and for 8 site years of soybean (4 irrigated and 4 rainfed, three cultivars). The red edge normalized difference vegetation index (NDVI), green NDVI and wide dynamic range vegetation index (WDRVI) were found to be accurate in estimating fraction of photosynthetically active radiation (PAR) absorbed by photosynthetically active green vegetation in maize and soybean with root mean squared error (RMSE) of 0.057, 0.067 and 0.069, respectively.
ISSN:2150-704X
2150-7058
DOI:10.1080/2150704X.2018.1547445