秦岭植被生态空天地遥感监测体系与平台建设构思

Design of space-aerial-ground remote sensing monitoring system and platform for vegetation ecology in Qinling Mountains

关键词:  遥感  植被  监测体系  生态环境  时空演变

Key words:  remote sensing  vegetation  monitoring system  ecological environment  spatio-temporal evolution

摘要:

【目的】 秦岭植被是生物多样性宝库中重要的组成部分，发挥着重要的生态屏障作用，能够涵养水源、水土保持、防风固沙、固碳增氧，具有巨大的生态价值、经济价值。利用遥感技术对区域植被的生态监测及评估十分必要。【方法】 为支撑构建适合秦岭地区的植被生态遥感监测平台，文章总结了当前植被生态监测技术的现状和不足。针对秦岭地区植被生态监测关键需求，提出了秦岭植被生态空天地一体化大数据监测体系与平台建设的构想，给出了空天地精准监测、生态评估和专题决策分析等三大核心功能设计构思。【结果】 通过识别植被生态监测目标，筛选优化了核心监测指标，并提供了配套监测方法。通过“确立监测目标—构建监测体系—确定最优体系”初步建立了秦岭植被生态空天地遥感监测体系的构建方法，通过“聚类分析—局部建模”确定了评估方案。【结论】 对未来构建以遥感“眼”、大数据“脑”、云平台“体”、智能“魂”为核心的一体化监测平台提供了全新视角方案。

Abstract:

Purpose As a key ecological barrier area，vegetation is an important component of the treasure house of biodiversity in the Qinling Mountains of Shaanxi province，and it has the ability of water conservation，soil conservation，wind prevention，sand fixation and carbon fixation，possessing significant ecological and economic value. Therefore，it is necessary to conduct ecological monitoring and evaluation of regional vegetation using remote sensing technology.Method In order to build an effective vegetation ecological remote sensing monitoring platform suitable for the Qinling Mountains region，we investigated the status and limitations of vegetation ecological monitoring technology. Then，addressing the key requirements for ecological monitoring of vegetation in the Qinling Mountains region，a conceptual framework for the construction of an integrated big data monitoring system and platform for vegetation ecology in the Qinling Mountains was established. This included three core function design ideas：space-air-ground accurate monitoring，ecological assessment，and thematic decision analysis.Result In summary，main monitoring indicators were screened and optimized by identifying vegetation ecological monitoring targets，and supporting monitoring methods were provided. The construction method of the space-air-ground remote sensing monitoring system for vegetation in the Qinling Mountains was preliminarily established by "establishing monitoring targets-constructing monitoring system-determining optimal system"，and the evaluation scheme was determined by "cluster analysis-local modeling".Conclusion This study will provide a new perspective scheme for the future construction of an integrated monitoring platform with remote sensing "eye"，big data "body"，cloud platform "hand"，and intelligent "soul" as the core.