Improved mapping of forest type using spectral-temporal Landsat features
نویسندگان
چکیده
منابع مشابه
Potential of Landsat-8 spectral indices to estimate forest biomass
Forest ecosystems are among the largest terrestrial carbon reservoirs on our planet earth thus playing a vital role in global carbon cycle. Presently, remote sensing techniques provide proper estimates of forest biomass and quantify carbon stocks. The present study has explored Landsat-8 sensor product and evaluated its application in biomass mapping and estimation. The specific objectives were...
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Given elevation, hydrologic, soil, and sunlight data can we predict what type of tree would be in a small patch of forest? Our project attempts to predict the predominant type of tree in sections of wooded area. Understanding forest composition is a valuable aspect of managing the health and vitality of our wilderness areas. Classifying cover type can help further research regarding forest fire...
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Speech Emotion Recognition (SER) is a new and challenging research area with a wide range of applications in man-machine interactions. The aim of a SER system is to recognize human emotion by analyzing the acoustics of speech sound. In this study, we propose Spectral Pattern features (SPs) and Harmonic Energy features (HEs) for emotion recognition. These features extracted from the spectrogram ...
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ژورنال
عنوان ژورنال: Remote Sensing of Environment
سال: 2018
ISSN: 0034-4257
DOI: 10.1016/j.rse.2018.02.064