Mapping burned areas and land-uses in Kangaroo Island using an object-based image classification framework and Landsat 8 Imagery from Google Earth Engine-Reference-Cited by-同舟云学术

Mapping burned areas and land-uses in Kangaroo Island using an object-based image classification framework and Landsat 8 Imagery from Google Earth Engine

Published:2022-08-02 Issue:1 Volume:13 Page:1867-1897
ISSN:1947-5705
Container-title:Geomatics, Natural Hazards and Risk
language:en
Short-container-title:Geomatics, Natural Hazards and Risk

Author:

Liu Jiyu¹^ORCID,Freudenberger David²^ORCID,Lim Samsung¹³^ORCID

Affiliation:

1. School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia

2. Fenner School of Environment & Society, Australian National University, Canberra, Australia

3. Biosecurity Program, Kirby Institute, University of New South Wales, Sydney, Australia

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19475705.2022.2098066

Reference109 articles.

1. ABARES. 2016. Australian Plantation Statistic 2016. Canberra: Australian Bureau of Agricultural and Resource Economics and Sciences, Department of Agriculture and Water Resources. ABARES project 43550.

2. Impact of anthropogenic climate change on wildfire across western US forests

3. Mapping Annual Land Use and Land Cover Changes in the Yangtze Estuary Region Using an Object-Based Classification Framework and Landsat Time Series Data

4. Integration of Multiple Spectral Indices and a Neural Network for Burned Area Mapping Based on MODIS Data

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