A Synthesis of Spatial Forest Assessment Studies Using Remote Sensing Data and Techniques in Pakistan

编号 030030803

推送时间 20210913

研究领域 森林经理 

年份 2021 

类型 期刊 

语种 英语

标题 A Synthesis of Spatial Forest Assessment Studies Using Remote Sensing Data and Techniques in Pakistan

来源期刊 Forests

期 第308期

发表时间 20210906

关键词 citations;  supervised image classification;  maximum likelihood classifier;  18th constitutional amendment;  SAR;  REDD+; 

摘要 This paper synthesizes research studies on spatial forest assessment and mapping using remote sensing data and techniques in Pakistan. The synthesis states that 73 peer-reviewed research articles were published in the past 28 years (1993–2021). Out of all studies, three were conducted in Azad Jammu & Kashmir, one in Balochistan, three in Gilgit-Baltistan, twelve in Islamabad Capital Territory, thirty-one in Khyber Pakhtunkhwa, six in Punjab, ten in Sindh, and the remaining seven studies were conducted on national/regional scales. This review discusses the remote sensing classification methods, algorithms, published papers’ citations, limitations, and challenges of forest mapping in Pakistan. The literature review suggested that the supervised image classification method and maximum likelihood classifier were among the most frequently used image classification and classification algorithms. The review also compared studies before and after the 18th constitutional amendment in Pakistan. Very few studies were conducted before this constitutional amendment, while a steep increase was observed afterward. The image classification accuracies of published papers were also assessed on local, regional, and national scales. The spatial forest assessment and mapping in Pakistan were evaluated only once using active remote sensing data (i.e., SAR). Advanced satellite imageries, the latest tools, and techniques need to be incorporated for forest mapping in Pakistan to facilitate forest stakeholders in managing the forests and undertaking national projects like UN’s REDD+ effectively.

服务人员 付贺龙

服务院士 唐守正

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