地理科学进展 ›› 2009, Vol. 28 ›› Issue (4): 597-602.doi: 10.11820/dlkxjz.2009.04.016

• 土地利用变化 • 上一篇    下一篇

遥感数据驱动的耕地生产潜力模型与应用

高文彬1,2|江东1|杨小唤1   

  1. 1. 中国科学院地理科学与资源研究所资源环境科学数据中心|北京 100101; 2. 中国科学院研究生院| 北京 100049
  • 出版日期:2009-07-25 发布日期:2009-07-25
  • 通讯作者: 江东 E-mail:jiangd@lreis.ac.cn
  • 作者简介:高文彬(1982-)|男|硕士生|内蒙古呼和浩特市人|主要研究方向为遥感与地理信息系统。E-mail:gaowb@lreis.ac.cn
  • 基金资助:

    国家重点基础研究发展计划(973)项目(2006CB403400-5);国家科技支撑计划课题

Cultivated Land Potential Production Model and Application Driven by RS Information

GAO Wenbin1,2, JIANG Dong1,YANG Xiaohuan1   

  1. 1. Data Center for Resources and Environmental Sciences, Institute of Geographic Sciences and Natural Resources
    Research, CAS, Beijing 100101, China; |2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
  • Online:2009-07-25 Published:2009-07-25

摘要:

采用传统的潜力递减法模型,在 GIS空间建模技术支持下,分别计算光合生产潜力、光温生产潜力、气候生产潜力和耕地生产潜力。本研究以遥感数据驱动模型构建:首先,通过日本的静止气象卫星GMS-5数据反演每日的实际蒸散、相对蒸散,用以计算气候生产潜力;其次,通过SPOT5高分辨率遥感数据提取耕地空间位置和耕地类型信息,用以计算耕地生产潜力。研究表明模型估算的耕地生产力与现实粮食产量整体相差在10%左右,模型估算耕地生产潜力比现有粮食产量提高30%左右;同时研究表明,耕地生产潜力受高程、坡度和水源的影响较大。

关键词: 遥感;土地利用;耕地生产潜力

Abstract:

Under the support of GIS spatial model building, the traditional land potential production degression model has been used to compute photosynthetic productivity, photosynthetic thermal productivity, climatic productivity and cultivated land potential productivity step by step. The paper uses RS data to drive model building: first, the research estimates evapotranspiration through GMS-5 to compute climatic productivity; second, the research extracts spatial location of cultivated land and its type to compute cultivated land potential productivity. The results show that the quantity difference between cultivated land productivity estimated by the model and grain output is 10%, while cultivated land potential production is 30% higher than the present yield. At the same time, the research indicates the cultivated land potential production is highly affected by elevation, slope and water source.

Key words: cultivated land potential production, landuse, remote sensing