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Medium Resolution Studies of Rice Suitability Areas in Papua New Guinea Using Existing GIS Data Base and Satellite Images

机译:利用现有的GIS数据库和卫星图像对巴布亚新几内亚水稻适宜区进行中分辨率研究

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摘要

Remote sensing (RS) and Geographic Information System (GIS) technology already has proven its applicability in agricultural research. This research proposes an empirical methodology for modeling and mapping of rice suitability areas using the RS and GIS techniques. Entire Papua New Guinea (PNG) has been chosen for medium resolution (1:250000) study of rice land suitability analysis based on topography (altitude and slope of the land), physical (texture, water holding capacity, drainage and depth) and chemical (pH, nitrogen, potassium, phosphorus and base saturation) soil properties and climate (temperature and rainfall) that are mandatory inputs to rice land suitability model. These parameters are obtained from DSM (Digital Surface model) data, soil data base of PNG, monthly and annual temperature and rainfall data, respectively. ArcGIS 10 and Erdas 11 model builder/maker are used to build the key model for rice land suitability mapping. Papua New Guinea has been classified into five qualitative categories of rice suitability. The result indicates that about fourteen percent (14%) lands are highly suitable for rice cultivation in the study area. The spatial expanse of all the five categories of suitable land for rice within the Papua New Guinea are mapped in 1:250000 scale.
机译:遥感(RS)和地理信息系统(GIS)技术已经证明了其在农业研究中的适用性。这项研究提出了使用RS和GIS技术对水稻适宜区进行建模和制图的经验方法。基于地形(土地的海拔和坡度),物理(质地,持水能力,排水和深度)和化学物质的中分辨率(1:250000)研究稻米土地适宜性分析的中分辨率(1:250000)研究已选择整个巴布亚新几内亚(PNG) (pH,氮,钾,磷和碱饱和度)土壤特性和气候(温度和降雨),这是水稻土地适宜性模型的强制性输入。这些参数分别从DSM(数字表面模型)数据,PNG的土壤数据库,每月和每年的温度和降雨量数据获得。使用ArcGIS 10和Erdas 11模型构建器/制造器来构建稻米土地适宜性制图的关键模型。巴布亚新几内亚已将大米适宜性分为五个定性类别。结果表明,研究区约有百分之十四(14%)的土地非常适合水稻种植。巴布亚新几内亚内五种适合水稻种植的所有土地的空间分布都以1:250000的比例绘制。

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