测绘通报 ›› 2024, Vol. 0 ›› Issue (10): 138-143,150.doi: 10.13474/j.cnki.11-2246.2024.1023.

• 技术交流 • 上一篇    

多尺度地表覆盖下的碳储量变化监测对比

詹远增1,2,3, 王兴坤1,2,3, 马彦1,2, 冯存均1,2,3, 周伟1,2, 邓小渊1,2,3, 徐盼1,2   

  1. 1. 浙江省测绘科学技术研究院, 浙江 杭州 310001;
    2. 自然资源浙江省卫星应用技术中心, 浙江 杭州 310001;
    3. 自然资源部地理国情监测重点实验室, 浙江 杭州 310001
  • 收稿日期:2024-01-24 发布日期:2024-11-02
  • 通讯作者: 马彦,E-mail:mayan17@mails.ucas.ac.cn
  • 作者简介:詹远增(1986—),男,硕士,高级工程师,主要研究方向为卫星遥感应用。E-mail:geozyz@zuaa.zju.edu.cn
  • 基金资助:
    自然资源部国土卫星遥感应用重点实验室开放基金(KLSMNR-G202210)

Comparison of monitoring carbon stock changes under multi-scale land cover data

ZHAN Yuanzeng1,2,3, WANG Xingkun1,2,3, MA Yan1,2, FENG Cunjun1,2,3, ZHOU Wei1,2, DENG Xiaoyuan1,2,3, XU Pan1,2   

  1. 1. Zhejiang Academy of Surveying and Mapping, Hangzhou 310001, China;
    2. Zhejiang Application Center of Nature Resources Satellite Technology, Hangzhou 310001, China;
    3. Key Laboratory of National Geographic Census and Monitoring, Ministry of Natural Resources, Hangzhou 310001, China
  • Received:2024-01-24 Published:2024-11-02

摘要: 针对基于地表覆盖数据开展碳储量变化监测存在的尺度效应问题,本文以杭州城西科创大走廊为例,研究了不同尺度地表覆盖数据在地表破碎且变化频繁区域的适用性。通过高分辨率影像获取的粗分类和细分类地表覆盖数据,与常用的中低分辨率地表覆盖数据,采用簿记模型分别计算了研究区近13年碳储量变化。发现基于中低分辨率地表覆盖计算的碳储量变化值相较于基于高分辨率粗分类地表覆盖,减少了3021.24tC;基于高分辨率粗分类地表覆盖计算的碳储量变化值相较于基于高分辨率细分类地表覆盖,减少了685.43tC。结果表明,在地表破碎且变化频繁区域,基于不同尺度地表覆盖计算的碳储量变化值存在显著差异,高分辨率细分类地表覆盖数据适用性更强。

关键词: 地表覆盖, 碳储量变化, 多尺度, 监测评估, 遥感

Abstract: Aiming at the scale effect of monitoring carbon stock changes based on land cover data, this paper took the example of Hangzhou Chengxi Sci-tech Innovation Corridor to study the applicability of different scales of land cover data in the area with fragmented surface and frequent changes. The coarse and fine classification land cover data obtained from high-resolution images, and the commonly used medium-and low-resolution land cover data, were used to calculate the carbon stock changes in the study area in the past 13 years by using a bookkeeping model. It was found that the value of carbon stock change calculated based on the medium-low resolution land cover decreased by 3021.24tC, compared with that based on the high-resolution coarse classification land cover. And the value of carbon stock change calculated based on the high-resolution coarse classification land cover decreased by 685.43tC, compared with that based on the high-resolution fine classification land cover. The results showed that, in the area of fragmented surface with frequent changes, the carbon stock change values calculated based on different scales of land cover were significantly different, and the high-resolution fine classification land cover data were more applicable.

Key words: land cover, carbon stock changes, multi-scale, monitoring and evaluation, remote sensing

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