Forest fire monitoring using spatial-statistical and Geo-spatial analysis of factors determining forest fire in Margalla Hills, Islamabad, Pakistan-Reference-Cited by-同舟云学术

Forest fire monitoring using spatial-statistical and Geo-spatial analysis of factors determining forest fire in Margalla Hills, Islamabad, Pakistan

Published:2021-01-01 Issue:1 Volume:12 Page:1212-1233
ISSN:1947-5705
Container-title:Geomatics, Natural Hazards and Risk
language:en
Short-container-title:Geomatics, Natural Hazards and Risk

Author:

Tariq Aqil¹^ORCID,Shu Hong¹^ORCID,Siddiqui Saima²^ORCID,Mousa B. G.¹³^ORCID,Munir Iqra¹^ORCID,Nasri Adel¹^ORCID,Waqas Hassan⁴^ORCID,Lu Linlin⁵^ORCID,Baqa Muhammad Fahad⁵^ORCID

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China

2. Department of Geography, University of the Punjab, Lahore, Punjab, Pakistan

3. Faculty of Engineering, Al-Azhar University, Cairo, Egypt

4. National Engineering Research Center for Geographic Information System (NERCGIS), School of Geography, China University of Geosciences, Wuhan, China

5. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19475705.2021.1920477

Reference70 articles.

1. Spatial-statistical analysis of factors determining forest fires: a case study from Golestan, Northeast Iran

2. Abidi A, Ifrah S, Noor J. 2013. Economic analysis of forest management in Pakistan – a case study of Changa Mange and Muree Forest. Munich Personal RePEc Archive. http://mpra.ub.uni-muenchen.de/28086/.

3. Role of remote sensing, geographic bioinformatics system and bioinformatics in kala-azar epidemiology

4. A decision support system for managing forest fire casualties

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