测绘通报 ›› 2024, Vol. 0 ›› Issue (9): 28-31,37.doi: 10.13474/j.cnki.11-2246.2024.0906

• 第八届测绘科学前沿技术论坛获奖论文 • 上一篇    下一篇

PIE-Engine平台下土地利用变化对生态质量影响的遥感评估与时空分析

刘恒, 左涛, 贾康, 柴成富, 刘艺炫, 陈恒恒   

  1. 中煤航测遥感集团有限公司, 陕西 西安 710018
  • 收稿日期:2024-01-25 发布日期:2024-10-09
  • 作者简介:刘恒(1990—),男,硕士,工程师,主要研究方向为自然资源遥感监测。E-mail:353182909@qq.com
  • 基金资助:
    煤炭地质局科技创新项目(YF-2023-2)

Remote sensing assessment and spatio-temporal analysis of the impact of land use changes on ecological quality based on PIE-Engine

LIU Heng, ZUO Tao, JIA Kang, CHAI Chengfu, LIU Yixuan, CHEN Hengheng   

  1. Aerial Photogrammetry and Remote Sensing Bureau of China National Administration of Coal Geology, Xi'an 710018, China
  • Received:2024-01-25 Published:2024-10-09

摘要: 针对濂溪区土地利用变化引起生态质量的问题,本文基于PIE-Engine Studio遥感云平台,采用多时序卫星数据结合第三次全国国土调查数据,在土地利用/覆盖变化基础上,深入剖析2008—2023年土地覆盖和生态环境时空演变特征及其驱动因素。结果表明:①在这段时间内濂溪区生态质量整体有所改善,特别是在生态质量优等级(0.8~1.0)上,耕地向草地的转变面积和比例均有显著增加,但仍存在局部退化现象;②良等级(0.6~0.8)面积有所减少,可能是某些区域建筑用地增加引起的生态质量下降。通过实施有效的土地管理加强生态保护和修复,可以进一步提高生态环境质量。

关键词: PIE-Engine Studio, 土地利用/覆盖变化, 主成分分析, 遥感生态指数

Abstract: Aiming at the problems of ecological quality caused by land use changes in Lianxi District, this paper is based on the PIE-Engine Studio remote sensing cloud platform, using multi-temporal satellite data combined with three surveys data to deeply analyze the characteristics of the spatial and temporal evolution of land cover and ecological environment and its driving factors from 2008 to 2023 on the basis of land use/cover changes. The results show that: ①The overall ecological quality of Lianxi District has improved during this period, especially on the excellent ecological quality grade (0.8~1.0), and the area and proportion of the transformation of cropland to grassland have increased significantly, but there are still local degradation phenomena. ②The area of good grade (0.6~0.8) has decreased, which may be due to the decrease of ecological quality caused by the increase of building land in certain areas. Strengthening ecological protection and restoration through the implementation of effective land management can further improve the quality of the ecological environment.

Key words: PIE-Engine Studio, land use and cover change, principal component analysis, remote sensing ecological index

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