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Remote Sensing for Natural Resources. 2024, (02) Core

Exploring the spatio-temporal variations and forest restoration of burned zones in the Great Xing’an Range based on MODIS time series dataChinese Full TextEnglish Full Text (MT)

WANG Jian;DU Yuling;GAO Zhao;LYU Haiyan;SHI Lei;College of Information and Management Science,Henan Agricultural University;The First Geodetic Survey Team of the Ministry of Natural Resources,Shaanxi Bureau of Surveying,Mapping and Geoinformation;

Abstract: Forest fires are one of the most significant disturbance factors affecting forest ecosystems. Exploring their spatio-temporal variations and forest restoration holds certain sociological and ecological significance. The Great Xing’an Range, possessing the largest primitive area in China, is a key area suffering frequent forest fires. Hence, this study extracted the distribution information of burned zones in the Great Xing’an Range from 2002 to 2021 from the MODIS time series products involving ... More
Keywords：

forest fire; Great Xing’an Range; burned zone; forest restoration; MODIS;

  • Series：

    (A) Mathematics/ Physics/ Mechanics/ Astronomy; (D) Agriculture

  • Subject：

    Mathematics; Forestry

  • Classification Code：

    O211.61;S718.59

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