Chlorophyll deficiency (chlorosis) detection based on spectral shift and yellowness index using hyperspectral AVIRIS-NG data in Sholayar reserve forest, Kerala
Sign Up to like & getrecommendations! Published in 2020 at "Remote Sensing Applications: Society and Environment"
DOI: 10.1016/j.rsase.2020.100369
Abstract: Abstract Hyperspectral remote sensing is highly efficient in retrieving the leaf chlorophyll concentrations and its deficiency, which is manifested in the form of a spectral shift in reflectance. In the present study, the detection of… read more here.
Keywords: index; aviris data; yellowness index; spectral shift ... See more keywords
Employing Machine Learning for Detection of Invasive Species using Sentinel-2 and AVIRIS Data: The Case of Kudzu in the United States
Sign Up to like & getrecommendations! Published in 2020 at "Sustainability"
DOI: 10.3390/su12093544
Abstract: Invasive plants are causing massive economic and environmental troubles for our societies worldwide. The aim of this study is to employ a set of machine learning classifiers for detecting invasive plant species using remote sensing… read more here.
Keywords: machine; machine learning; kudzu; invasive species ... See more keywords