A comparison of satellite remote sensing data fusion methods to map peat swamp forest loss in Sumatra, Indonesia-Reference-Cited by-同舟云学术

A comparison of satellite remote sensing data fusion methods to map peat swamp forest loss in Sumatra, Indonesia

Published:2018-12-10 Issue:3 Volume:5 Page:247-258
ISSN:2056-3485
Container-title:Remote Sensing in Ecology and Conservation
language:en
Short-container-title:Remote Sens Ecol Conserv

Author:

Crowson Merry¹,Warren‐Thomas Eleanor²,Hill Jane K.²,Hariyadi Bambang³,Agus Fahmuddin⁴,Saad Asmadi⁵,Hamer Keith C.⁶,Hodgson Jenny A.⁷,Kartika Winda D.³,Lucey Jennifer²,McClean Colin⁸,Nurida Neneng Laela⁴,Pratiwi Etty⁴,Stringer Lindsay C.⁹,Ward Caroline⁹,Pettorelli Nathalie¹^ORCID

Affiliation:

1. Institute of ZoologyZoological Society of LondonRegent's Park London NW1 4RY United Kingdom

2. Department of BiologyUniversity of York York YO10 5DD United Kingdom

3. Biology Education ProgramFaculty of Education and Teacher TrainingJambi University Jl. Raya Jambi‐Ma.Bulian km 15 Mendalo Darat Jambi Indonesia

4. Indonesian Soil Research InstituteIndonesian Center for Agricultural Land Resources Research and Development Jl. Tentara Pelajar No. 12, Cimanggu Bogor 16114 Indonesia

5. Soil Science DivisionFaculty of AgricultureJambi University Jl. Raya Jambi‐Ma.Bulian km 15 Mendalo Darat Jambi Indonesia

6. School of BiologyFaculty of Biological SciencesUniversity of Leeds Leeds LS2 9JT United Kingdom

7. Institute of Integrative BiologyUniversity of Liverpool Liverpool L69 7ZB United Kingdom

8. Environment DepartmentUniversity of York Heslington, York YO10 5DD United Kingdom

9. School of Earth and EnvironmentUniversity of Leeds Leeds LS2 9JT United Kingdom

Funder

Natural Environment Research Council

Publisher

Wiley

Subject

Nature and Landscape Conservation,Computers in Earth Sciences,Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rse2.102

Reference49 articles.

1. Categorical Data Analysis

2. Random forest in remote sensing: A review of applications and future directions

3. Big Data for Remote Sensing: Challenges and Opportunities

4. The need for long-term remedies for Indonesia's forest fires

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