文章摘要
肖龙山,余正才,卢腾飞,刘 爽.云南省林草湿荒普查草地因子更新关键技术研究——以全国普查试点丘北县为例[J].林业调查规划,2026,51(2):68-72
云南省林草湿荒普查草地因子更新关键技术研究——以全国普查试点丘北县为例
Key Technologies for Updating Grassland Factors in Forest-GrasslandWetland-Desert Survey of Yunnan Province——A Case Study of the National Pilot County, Qiubei County
  
DOI:
中文关键词: 草地因子更新  草原成果应用  图斑研判  遥感反演  林草湿荒普查  云南省
英文关键词: updating grassland factor  application of grassland monitoring achievements  patch analysis and determination  remote sensing inversion  forest-grassland-wetland-desert survey  Yunnan Province
基金项目:云南省湿地外来入侵植物空间分布格局与风险评估研究项目(YK2025611108).
作者单位
肖龙山 云南省林业调查规划院,云南 昆明 650051 
余正才 云南省林业调查规划院昆明分院,云南 昆明 650051 
卢腾飞 云南省林业调查规划院,云南 昆明 650051 
刘 爽 云南省林业调查规划院,云南 昆明 650051 
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中文摘要:
      以云南省文山州丘北县11 777个草地图斑为数据基础,探索草地因子更新的关键技术方法。通过应用草原基况监测成果、实施同类型属性赋值、采用遥感反演模型并结合现地验证,构建适用于县级普查作业的技术流程和方法。结果表明,由草原成果应用更新、草原基况监测内草地图斑研判更新、遥感反演更新3项关键技术方法构成的集成体系,能够系统性应对普查中草地因子更新的核心问题。该体系在数据源整合、反演模型构建、作业流程质量控制、更新效率提升以及县级尺度统一赋值等多个维度均表现出有效性。
英文摘要:
      Based on 11 777 grassland patches in Qiubei County, Wenshan Prefecture, Yunnan Province, this study investigated key technologies for updating grassland factors. By applying grassland condition monitoring results, implementing attribute assignment for similar types, adopting remote sensing inversion models combined with field verification, a set of technical processes and methods suitable for county-level census operations was establish. The results demonstrated that an integrated system comprising three key methodologies, including updates on application of grassland monitoring achievements, updates on grassland patches analysis and determination within condition monitoring data, and remote sensing inversion updates, could systematically address the core challenges in updating grassland factors during the census. This system has proven effective across multiple dimensions, including the integration of data sources, construction of inversion models, quality control of operational workflows, enhancement of update efficiency, and unified attribute assignment at the county scale.
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