PCA-based classification using airborne hyperspectral radiance data, a case study: Mount Horshan Mediterranean forest-Reference-Cited by-同舟云学术

PCA-based classification using airborne hyperspectral radiance data, a case study: Mount Horshan Mediterranean forest

Published:2021-06-17 Issue: Volume: Page:1-24
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Mandelmilch Moshe¹^ORCID,Dadon Alon¹^ORCID,Ben-Dor Eyal¹^ORCID,Sheffer Efrat²^ORCID

Affiliation:

1. The Remote Sensing Laboratory (RSL), Department of Geography and Human Environment, Porter School of the Environment and Earth Sciences, Faculty of Exact Sciences, Tel Aviv University (TAU), Tel Aviv, Israel

2. The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, Faculty of Agriculture, Food and Environmental Sciences, The Hebrew University of Jerusalem, Rehovot, Israel

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2021.1923830

Reference58 articles.

1. Radiance spectra classification from the Ocean Color and Temperature Scanner on ADEOS

2. Fire models and methods to map fuel types: The role of remote sensing

3. Mapping rock forming minerals at Boundary Canyon, Death Valey National Park, California, using aerial SEBASS thermal infrared hyperspectral image data

4. Quantifying forest canopy traits: Imaging spectroscopy versus field survey

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