| 基于GIS的西藏无资料地区耕地历史经济价值评价方法 |
| |
| 引用本文： | 杨晓彤,刘慧平,高啸峰,刘湘平,张洋华.基于GIS的西藏无资料地区耕地历史经济价值评价方法[J].农业工程学报,2016,32(13):273-278. |
| |
| 作者姓名： | 杨晓彤 刘慧平 高啸峰 刘湘平 张洋华 |
| |
| 作者单位： | 1. 北京师范大学遥感科学国家重点实验室,北京100875;国家海洋信息中心,天津300171;环境遥感与数字城市北京市重点实验室,北京100875;北京师范大学地理学与遥感科学学院,北京100875;2. 北京师范大学遥感科学国家重点实验室,北京100875;环境遥感与数字城市北京市重点实验室,北京100875;北京师范大学地理学与遥感科学学院,北京100875 |
| |
| 基金项目： | 国家自然科学基金项目(40671127)；国土资源部公益性行业科研专项(201411015-03) |
| |
| 摘 要： | 无资料地区缺少有关耕地经济价值评价的历史数据,该文以西藏省拉萨市为无资料研究区,选择夜间灯光数据,辅以数字高程模型和道路数据,基于农业区位论和GIS空间分析方法,对2010年拉萨市的耕地经济价值进行分级评价,旨在探讨一种适用于无资料地区某个历史时期的耕地经济价值评价方法,以填补该地区耕地经济价值的数据空白。首先选择城关区为试验区,基于2010年地面真实数据验证了研究方法的可行性(总精度达84%),然后以灯光亮度等级划分拉萨8县(区)的经济差异,进而将方法应用于拉萨全市,得到2010年拉萨市耕地历史经济价值评价结果,评价的总精度达82.6%,Kappa系数0.722,表明该文研究方法具有鲁棒性,可以为西藏无资料地区的耕地历史经济价值评价研究提供参考。
|
| 关 键 词： | GIS 土地利用 灯光 无资料地区 农业区位论 夜间灯光数据 拉萨市 |
| 收稿时间： | 2015/9/28 0:00:00 |
| 修稿时间： | 2016/4/26 0:00:00 |
Evaluation method of historical economic value of cultivated land in data-lacking regions of Tibet based on GIS |
| |
| Yang Xiaotong,Liu Huiping,Gao Xiaofeng,Liu Xiangping and Zhang Yanghua.Evaluation method of historical economic value of cultivated land in data-lacking regions of Tibet based on GIS[J].Transactions of the Chinese Society of Agricultural Engineering,2016,32(13):273-278. |
| |
| Authors: | Yang Xiaotong Liu Huiping Gao Xiaofeng Liu Xiangping and Zhang Yanghua |
| |
| Institution: | State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China;National Marine Data and Information Service, Tianjin 300171, China;Beijing Key Laboratory of Environmental Remote Sensing and Digital City, Beijing 100875, China;School of Geography, Beijing Normal University, Beijing 100875, China,State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China;Beijing Key Laboratory of Environmental Remote Sensing and Digital City, Beijing 100875, China;School of Geography, Beijing Normal University, Beijing 100875, China,State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China;Beijing Key Laboratory of Environmental Remote Sensing and Digital City, Beijing 100875, China;School of Geography, Beijing Normal University, Beijing 100875, China,State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China;Beijing Key Laboratory of Environmental Remote Sensing and Digital City, Beijing 100875, China;School of Geography, Beijing Normal University, Beijing 100875, China and State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China;Beijing Key Laboratory of Environmental Remote Sensing and Digital City, Beijing 100875, China;School of Geography, Beijing Normal University, Beijing 100875, China |
| |
| Abstract: | Datalacking regions have little information about the economic value of the cultivated land in the historical years.This research chose Lhasa city in Tibet as an example to discuss a method based on GIS (geographic information system), which was to propose the historical economic value evaluation of cultivated land in datalacking regions and to fill the blanks of the historical economic value data of the cultivated land.This research took 3 factors based on the agricultural location theory from natural and human aspects, i.e., the slope, the stable light at nighttime, and the distance from the cultivated land to the roads at different levels.The data resources of this research were defense meteorological satellite program/ operational linescan system (DMSP/OLS), digital elevation model and the road data, all of which were free and easy to acquire.In addition, all of the data were in the year of 2010 in order to ensure the data quality and have the corresponding Google Earth data which were treated as the ground true reference.First of all, we graded each factor into 5 classes and assigned them the score of 1,3, 5,7 and 9, which indicated their contributions for improving the economic value for the corresponding cultivated land.Second, we decided the weights for each factor in each grade by employing the method of analytic hierarchy process.Third, the spatial weighted overlay based on GIS was introduced to calculate the final score for each cultivated land which was the reference to determine their historical economic value.The method was firstly testified in the Chengguan district, Lhasa city and then applied to the whole city.We classified the cultivated land in Chengguan district into 3 classes, and the first class cultivated land referred to the farmland which had the highest historical economic value and the third class referred to the lowest one.After that we introduced the stratified random sampling method into this research to perform the accuracy assessment.We selected 100 pieces of cultivated land according to their area and compared the evaluation result with the ground true data by visual interpretation.The overall accuracy of the historical economic value evaluation of Chengguan district was 84% which meant that the proposed method was very effective.Instead of applying the method to the whole city directly, we took the economic differences among the 8 counties into account.We classified the economic level of the 8 counties into 3 class based on their stable light intensity with the help of the nighttime light satellite imagery before the method was extended to the whole Lhasa city.The accuracy assessment was also performed by the randomly selected 1000 pieces of the cultivated land in the whole city.The overall accuracy of the evaluation was 82.6% with an overall Kappa coefficient of 0.722, the users accuracy of the firstclass cultivated land was 79.63%, and the producers accuracy was 71.27%; the users accuracy of the secondclass cultivated land was 84.76%, and the producers accuracy was 80.91%; the users accuracy of the thirdclass cultivated land was 81.58%, and the producers accuracy was 89.97%.The result indicated that the extended method based on the nighttime imagery was scientific and effective to apply the evaluation method proposed in this study to a larger study area, and this method was robust and easy to realize.In summary, the area of the cultivated land in middle level accounted for 58.43% of the total area.Chengguan district, as the center of Lhasa city, had the most highest cultivated land value, and the Linzhou county had the lowest economic value of cultivated land.Further work should focus on the realization of this method in other years, which helps discuss the change trajectory of the cultivated land economic value in time series. |
| |
| Keywords: | geographic information systems land use light datalacking regions agricultural location theory DMSP/OLS nighttime satellite imagery Lhasa city |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《农业工程学报》浏览原始摘要信息 |
| 点击此处可从《农业工程学报》下载免费的PDF全文 |
|
