A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Crop Phenology Study Based on Multispectral Remote Sensing
Abstract The study identifies various growing stages of rice crop using multispectral data through red edge analysis. The maximum reflectance values for 35, 66, 76, and 96 days which indicate vegetative phase, reproductive phase, reproductive phase and ripening phase are 0.17, 0.228, 0.231, and 0.266 respectively at the test site 1. For the test site-2, the same trends are followed. When the crop is in vegetative stage the reflectance values are less whereas, when the stage of crop is reproductive, adjacent to the vegetative, the values of reflectance are increasing significantly due to increase in trend in canopy. This type of spectral analysis approach can be adapted to generate spectral library which can be beneficial for future research purpose.
Crop Phenology Study Based on Multispectral Remote Sensing
Abstract The study identifies various growing stages of rice crop using multispectral data through red edge analysis. The maximum reflectance values for 35, 66, 76, and 96 days which indicate vegetative phase, reproductive phase, reproductive phase and ripening phase are 0.17, 0.228, 0.231, and 0.266 respectively at the test site 1. For the test site-2, the same trends are followed. When the crop is in vegetative stage the reflectance values are less whereas, when the stage of crop is reproductive, adjacent to the vegetative, the values of reflectance are increasing significantly due to increase in trend in canopy. This type of spectral analysis approach can be adapted to generate spectral library which can be beneficial for future research purpose.
Crop Phenology Study Based on Multispectral Remote Sensing
Guha, Supratim (author) / Pal, Teya (author) / Mandla, Venkata Ravibabu (author)
2018-05-13
9 pages
Article/Chapter (Book)
Electronic Resource
English
Multispectral , Phenology , Rice crop , Red edge , Sentinal-2 , Spectral analysis , Spectral library Engineering , Civil Engineering , Geotechnical Engineering & Applied Earth Sciences , Remote Sensing/Photogrammetry , Hydrology/Water Resources , Climate Change/Climate Change Impacts , Image Processing and Computer Vision
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