收稿：2020-08-04，
纸质出版：2022-03-07
移动端阅览
当前高分对地观测数据应用来源众多，且其应用方式各异，如何对需求其进行规范化和结构化的需求综合及聚类，进而开展卫星观测能力对于用户需求的需求满足度进行评估，是当前高分对地观测系统建设及应用的关键。本研究基于层次分析法开展自然资源遥感调查的需求建模与评价研究，以可见光近红外类型的自然资源遥感调查需求为主要研究对象，提取自然资源遥感监测普遍共有的需求指标和参数构建四元需求模型，然后利用层次分析中的凝聚层次算法对自然资源调查需求进行建模后的需求综合，最后利用模糊层次综合法评估高分卫星对自然资源调查的需求满足度。评估结果显示除生物估算、荒漠化监测和承载力计算聚簇的需求外，其余聚簇的需求满足度都为良及以上，需求满足度优良率达到88%。通过评估表明中国高分卫星能较好的满足大部分的自然资源调查需求，但还需要提升在生态评价等领域的对地观测能力。
All kinds of data resources and application methods of High-resolution Earth Observation applications lead to many problems. How to integrate and clustering the different demands
and how to evaluate the demand satisfaction is the key to the construction of the High-resolution Earth Observation system.
The present paper study the requirements modeling and evaluation of nature resources investigation using analytic hierarchy process. The demand of nature resources investigation for VNIR are selected as the focus of this study. Firstly
the common demands of nature resources investigation are extracted and then demand model are established using demand for four-element model. Secondly
the condensation level algorithm is used to integrate the nature resources investigation demand for the High-resolution Earth Observation. Thirdly
the demand satisfaction of High-resolution Satellite to the nature resources investigation are evaluated using the fuzzy analytic hierarchy process.
The results show that the demand satisfaction of demand cluster except biomass estimation
desertification monitoring and ecological capacity is greater than 8
and the good ratio of demand satisfaction is 88%.
The High-resolution Earth Observation system can meet the need of most of the nature resource investigation
but the ability of ecological assessment for the High-resolution Earth Observation system should be enhanced.
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