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。
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.
出处
《地理科学进展》
CSCD
北大核心
2009年第4期597-602,共6页
Progress in Geography
基金
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
关键词
遥感
土地利用
耕地生产潜力
remote sensing
landuse
cultivated land potential production