{"title":"Advancements in remote sensing tools for forestry analysis","authors":"Shruti Kanga","doi":"10.24294/sf.v6i1.2269","DOIUrl":null,"url":null,"abstract":"Remote sensing technologies have revolutionized forestry analysis by providing valuable information about forest ecosystems on a large scale. This review article explores the latest advancements in remote sensing tools that leverage optical, thermal, RADAR, and LiDAR data, along with state-of-the-art methods of data processing and analysis. We investigate how these tools, combined with artificial intelligence (AI) techniques and cloud-computing facilities, enhance the analytical outreach and offer new insights in the fields of remote sensing and forestry disciplines. The article aims to provide a comprehensive overview of these advancements, discuss their potential applications, and highlight the challenges and future directions. Through this examination, we demonstrate the immense potential of integrating remote sensing and AI to revolutionize forest management and conservation practices.","PeriodicalId":54313,"journal":{"name":"Journal of Sustainable Forestry","volume":"30 1","pages":"0"},"PeriodicalIF":1.2000,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sustainable Forestry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24294/sf.v6i1.2269","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"FORESTRY","Score":null,"Total":0}
引用次数: 0
Abstract
Remote sensing technologies have revolutionized forestry analysis by providing valuable information about forest ecosystems on a large scale. This review article explores the latest advancements in remote sensing tools that leverage optical, thermal, RADAR, and LiDAR data, along with state-of-the-art methods of data processing and analysis. We investigate how these tools, combined with artificial intelligence (AI) techniques and cloud-computing facilities, enhance the analytical outreach and offer new insights in the fields of remote sensing and forestry disciplines. The article aims to provide a comprehensive overview of these advancements, discuss their potential applications, and highlight the challenges and future directions. Through this examination, we demonstrate the immense potential of integrating remote sensing and AI to revolutionize forest management and conservation practices.
期刊介绍：
Journal of Sustainable Forestry publishes peer-reviewed, original research on forest science. While the emphasis is on sustainable use of forest products and services, the journal covers a wide range of topics from the underlying biology and ecology of forests to the social, economic and policy aspects of forestry. Short communications and review papers that provide a clear theoretical, conceptual or methodological contribution to the existing literature are also included in the journal.
Common topics covered in the Journal of Sustainable Forestry include:
• Ecology, management, recreation, restoration and silvicultural systems of all forest types, including urban forests
• All aspects of forest biology, including ecophysiology, entomology, pathology, genetics, tree breeding, and biotechnology
• Wood properties, forest biomass, bioenergy, and carbon sequestration
• Simulation modeling, inventory, quantitative methods, and remote sensing
• Environmental pollution, fire and climate change impacts, and adaptation and mitigation in forests
• Forest engineering, economics, human dimensions, natural resource policy, and planning
Journal of Sustainable Forestry provides an international forum for dialogue between research scientists, forest managers, economists and policy and decision makers who share the common vision of the sustainable use of natural resources.
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