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基于GEE云计算LandTrendr算法的长三角森林扰动与增益连续监测
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作者单位:

1.南京信息工程大学遥感与测绘工程学院 滁州学院信息与计算机工程学院;2.南京信息工程大学遥感与测绘工程学院;3.滁州学院信息与计算机工程学院 安徽师范大学地理与旅游学院;4.滁州学院信息与计算机工程学院;5.安徽师范大学地理与旅游学院 滁州学院信息与计算机工程学院;6.新疆师范大学地理与旅游学院 滁州学院信息与计算机工程学院

基金项目:

高分辨率对地观测系统重大科技专项、安徽省科技重大专项计划、安徽省重点研发计划项目、安徽省高校杰出青年科学基金项目、安徽省高校协同创新项目、安徽省专项支持计划、安徽省教委科研重点项目


Continuous monitoring of forest disturbance in Yangtze River Delta based on GEE cloud computing LandTrendr algorithm
Author:
Affiliation:

1.Nanjing University of Information Science and Technology;2.School of Information and Computer Engineering, Chuzhou University;3.School of Geography and Tourism, Anhui Normal University;4.School of Geography and Tourism, Xinjiang Normal University

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    摘要:

    长江三角洲（以下简称长三角）作为我国森林资源丰富的区域之一，拥有巨大的碳汇潜力。准确捕捉和评估长三角森林的扰动与增益情况，对于提升该地区的森林管理水平以及生态环境保护工作具有重要意义。本研究采用了LandTrendr变化检测算法和基于Google Earth Engine（GEE）云平台的Landsat5-8时间序列叠加的方法，对长三角1991-2020年长达30年的森林扰动与增益进行了监测。结果表明：LandTrendr算法监测森林扰动与增益的总体精度达到88.5%，森林扰动与增益的生产精度、用户精度均高于80%，表明长三角森林扰动与增益监测效果较好。长三角森林扰动总面积为9646.96 km2;森林增益总面积为37205.46 km2，近30年长三角森林总面积呈增加趋势。基于GEE云平台的LandTrendr算法实现了长三角森林扰动与增益的精准监测。

    Abstract:

    The Yangtze River Delta (hereinafter referred to as the YRD), as one of the regions rich in forest resources in China, possesses immense carbon sequestration potential. Accurately capturing and assessing forest disturbances in the YRD is of great significance for enhancing forest management and ecological environmental protection in the region. This study employed the LandTrendr change detection algorithm and the method of Landsat 5-8 time-series stacking based on the Google Earth Engine (GEE) cloud platform to monitor forest disturbances and gains in the YRD over a span of 30 years from 1991 to 2020. The results indicated that the overall accuracy of the LandTrendr algorithm in monitoring forest disturbances and gains reached 88.5%, with both the producer's accuracy and user's accuracy exceeding 80%, demonstrating effective monitoring of forest disturbances and gains in the YRD. The total area of forest disturbances in the YRD was 9646.96 km2, while the total area of forest gains was 37205.46 km2. Over the past 30 years, the total forest area in the YRD has shown an increasing trend. The LandTrendr algorithm, based on the GEE cloud platform, has achieved precise monitoring of forest disturbances and gains in the YRD.

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江德婷,童旭东,陈冬花,刘赛赛,杜一莎,樊景威.基于GEE云计算LandTrendr算法的长三角森林扰动与增益连续监测[J].南京信息工程大学学报,,():

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  • 收稿日期:2024-02-25
  • 最后修改日期:2024-05-10
  • 录用日期:2024-05-11

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