Heterogeneous forest classification by creating mixed vegetation classes using EO-1 Hyperion-Reference-Cited by-同舟云学术

Heterogeneous forest classification by creating mixed vegetation classes using EO-1 Hyperion

Published:2017-06-05 Issue:18 Volume:38 Page:5215-5231
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Deák Márton¹,Telbisz Tamás¹,Árvai Mátyás²,Mari László¹,Horváth Ferenc³,Kohán Balázs⁴,Szabó Orsolya⁵,Kovács József⁶

Affiliation:

1. Department of Physical Geography, Eötvös Loránd University, Budapest, Hungary

2. Institute for Soil Sciences and Agricultural Chemistry, Department of Soil Mapping and Environmental Informatics, Hungarian Academy of Sciences, Budapest, Hungary

3. Centre for Ecological Research, Hungarian Academy of Sciences, Tihany, Hungary

4. Department of Environmental and Landscape Geography, Eötvös Loránd University, Budapest, Hungary

5. Department of Economics, Partium Christian University, Oradea, Romania

6. Department of Physical and Applied Geology, Eötvös Loránd University, Budapest, Hungary

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2017.1325529

Reference54 articles.

1. Using EO-1 Hyperion Data as HyspIRI Preparatory Data Sets for Volcanology Applied to Mt Etna, Italy

2. Detecting sugarcane ‘orange rust’ disease using EO-1 Hyperion hyperspectral imagery

3. Comparative analysis of different retrieval methods for mapping grassland leaf area index using airborne imaging spectroscopy

4. Using Hyperspectral Data to Identify Crops in a Cultivated Agricultural Landscape - A Case Study of Taita Hills, Kenya

5. Classification of Herbaceous Vegetation Using Airborne Hyperspectral Imagery

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