多尺度格网的耕地信息无损提取与表达——以山西省芮城县为例
|
摘要
为满足多尺度的耕地资源精细化管理需求,解决面积占优格网化方法(Rule of Max Area,RMA)精度依赖于最佳尺度的问题,提出基于多尺度格网的耕地信息无损提取与表达方法。基于山西省芮城县1∶1万土地利用现状数据,创建32m×32m、64m×64m、128m×128m、256m×256m、512m×512m 5个不同尺度的格网数据,并以32m×32m为基础格网数据集进行耕地信息无损格网化,通过Arc Engine二次开发实现了多尺度格网的耕地信息的快速提取,提出了基于格网耕地纯度指数表达耕地空间分布的方法并制作了专题图。采用耕地面积误差分析方法和标准差椭圆模型对研究成果进行了检验。结果显示:多尺度耕地格网数据中的耕地面积误差均小于0.1m~2,实现了无损格网表达;多尺度耕地格网数据的平均中心相差小于1m,分布方向角平均小于0.1°,表明耕地信息无损提取方法能精确提取耕地的数量信息和分布情况。对比RMA方法格网化结果,基于耕地纯度指数表达方法能定量化表征耕地的空间分布特征,可为多尺度耕地资源管理提供准确的数据支持。
To meet the multi-scale land management need sand to solve the precision problem of the rule of Max Area gridding method rely on best scales, lossless extraction and expression of cultivated land information method based on multi-scale grids was put forward. Five different scale grids data: 32m×32m, 64m×64m, 128m×128m, 256m×256m, 512m×512m were created based on 1∶1 million land use data of Ruicheng County of Shanxi Province. The cultivated land information transformed to lossless grids which achieved a rapid extraction of multi-scale arable land information based on basic grids through Arc Engine extended development and put forward a method to express spatial distribution of cultivated land based on farmland purity index and make the thematic map. The results were verified by error analysis of area and standard deviation ellipse model, and it showed that: Multi-scale farmland grids data error was less than 0.1 m2 which realizes lossless grids expression; average center was less than 1m and distribution direction was less than 0.1°, the lossless cultivated land information extraction method could accurately extract the quantity information and distribution of cultivated land. Compared with the results of the Rule of Max Area girddding method, cultivated land purity expression method could express the spatial distribution characteristics of cultivated land. It will provide accurate data support for the multi-scale management of the cultivated land resources.
To meet the multi-scale land management need sand to solve the precision problem of the rule of Max Area gridding method rely on best scales, lossless extraction and expression of cultivated land information method based on multi-scale grids was put forward. Five different scale grids data: 32m×32m, 64m×64m, 128m×128m, 256m×256m, 512m×512m were created based on 1∶1 million land use data of Ruicheng County of Shanxi Province. The cultivated land information transformed to lossless grids which achieved a rapid extraction of multi-scale arable land information based on basic grids through Arc Engine extended development and put forward a method to express spatial distribution of cultivated land based on farmland purity index and make the thematic map. The results were verified by error analysis of area and standard deviation ellipse model, and it showed that: Multi-scale farmland grids data error was less than 0.1 m2 which realizes lossless grids expression; average center was less than 1m and distribution direction was less than 0.1°, the lossless cultivated land information extraction method could accurately extract the quantity information and distribution of cultivated land. Compared with the results of the Rule of Max Area girddding method, cultivated land purity expression method could express the spatial distribution characteristics of cultivated land. It will provide accurate data support for the multi-scale management of the cultivated land resources.
引文
GALTON A.2003.Granularity-sensitive spatial attributes[J].Spatial Cognition and Computation,3(2-3):97-118.
KOGA T,KAWAMURA A.2016.Assessing impervious area ratios of grid-based land use classifications on the example of an urban watershed[J].Procedia Engineering,154(9):609-616.
SHORTRIDGE A M.2004.Geometricvariability of raster cell class assignment[J].International Journal of Geographical Information Science,18(6):539-558.
WARNTZ W,NEFT D.1960.Contributions to a statistical methodology for areal distributions[J].Journal of Regional Science,2(1):47-66.
ZHAO Y,YANG Z Y,HAO L S,et al.2012.The evolution of spatial displacement pattern of China's crude oil flow source-sink system[J].Acta Geographica Sinica,67(4):455-466.
白燕,廖顺宝.2010.矢量数据属性信息无损栅格化的实现方法——以全国1∶25万土地覆被数据为例[J].地球信息科学学报,12(3):385-391.
毕如田,高艳.2012.典型地貌景观指数的多尺度效应分析——以山西省运城市为例[J].地球信息科学,14(3):338-343.
陈彦清,杨建宇,张超.2014.基于网格的耕地质量分等成果省级汇总方法[J].农业工程报,30(24):280-285.
高艳,毕如田,曹毅.2010.空间粒度变化及土地利用分类对景观指数的影响——以山西省闻喜县为例[J].中国生态农业学报,18(5):1076-1080.
李德仁,李宗华,彭明军,等.2007.武汉市城市网格化管理与服务系统建设与应用[J].测绘通报,(8):1-5.
李德仁,邵振峰,丁霖.2014.地理国情信息的多级网格化表达[J].地理空间信息,12(1):1-9.
李德仁,邵振峰.2005.空间信息多级网格及其功能[J].地理空间信息,3(4):1-3.
连世忠,丁霖,陈江平.2017.顾及空间自相关的地理国情信息统计格网尺度选择——以植被覆盖信息为例[J].测绘通报,(3):46-51.
刘明亮,唐先明,刘纪远,等.2001.基于1 km格网的空间数据尺度效应研究[J].遥感学报,5(3):183-190.
刘学军,卢华兴,仁政,等.2007.论DEM地形分析中的尺度问题[J].地理研究,26(3):433-442.
王健欣.2013.典型地貌土地利用现状矢量数据栅格化的尺度效应及误差分析[D].山西:山西农业大学:58.
王卷乐,孙九林.2015.格网化资源环境综合科学调查的若干问题思考[J].地球信息科学学报,17(7):758-764.
王晓明,刘瑜,张晶.2005.地理空间认知综述[J].地理与地理信息科学,21(6):1-10.
王妍程,蔡列飞,侯继虎,等.2016.基于Geo SOT模型的地理国情监测多级网格信息统计[J].地理空间信息,14(1):8-12.
吴东亮,张旸.2007.林业网格化管理系统模型及实现的研究[J].北京林业大学学报,29(S2):18-21.
杨存建,张增祥.2001.矢量数据在多尺度栅格化中精度损失模型探讨[J].地理研究,20(4):416-421.
岳文泽,徐建华,谈文琦,等.2005.城市景观多样性的空间尺度分析——以上海市外环线以内区域为例[J].生态学报,25(1):122-128.
张迁迁,毕如田,张吴平,等.2015.多尺度EGLSN的构建及耕地地力模拟研究[J].中国生态农业学报,23(3):345-353.
张小虎,钟耳顺,王少华.2014.多尺度空间格网数据的索引编码研究[J].测绘通报,(7):35-38.
左伟,张桂兰,万必文,等.2003.中尺度生态评价研究中格网空间尺度的选择与确定[J].测绘学报,32(3):267-271.
KOGA T,KAWAMURA A.2016.Assessing impervious area ratios of grid-based land use classifications on the example of an urban watershed[J].Procedia Engineering,154(9):609-616.
SHORTRIDGE A M.2004.Geometricvariability of raster cell class assignment[J].International Journal of Geographical Information Science,18(6):539-558.
WARNTZ W,NEFT D.1960.Contributions to a statistical methodology for areal distributions[J].Journal of Regional Science,2(1):47-66.
ZHAO Y,YANG Z Y,HAO L S,et al.2012.The evolution of spatial displacement pattern of China's crude oil flow source-sink system[J].Acta Geographica Sinica,67(4):455-466.
白燕,廖顺宝.2010.矢量数据属性信息无损栅格化的实现方法——以全国1∶25万土地覆被数据为例[J].地球信息科学学报,12(3):385-391.
毕如田,高艳.2012.典型地貌景观指数的多尺度效应分析——以山西省运城市为例[J].地球信息科学,14(3):338-343.
陈彦清,杨建宇,张超.2014.基于网格的耕地质量分等成果省级汇总方法[J].农业工程报,30(24):280-285.
高艳,毕如田,曹毅.2010.空间粒度变化及土地利用分类对景观指数的影响——以山西省闻喜县为例[J].中国生态农业学报,18(5):1076-1080.
李德仁,李宗华,彭明军,等.2007.武汉市城市网格化管理与服务系统建设与应用[J].测绘通报,(8):1-5.
李德仁,邵振峰,丁霖.2014.地理国情信息的多级网格化表达[J].地理空间信息,12(1):1-9.
李德仁,邵振峰.2005.空间信息多级网格及其功能[J].地理空间信息,3(4):1-3.
连世忠,丁霖,陈江平.2017.顾及空间自相关的地理国情信息统计格网尺度选择——以植被覆盖信息为例[J].测绘通报,(3):46-51.
刘明亮,唐先明,刘纪远,等.2001.基于1 km格网的空间数据尺度效应研究[J].遥感学报,5(3):183-190.
刘学军,卢华兴,仁政,等.2007.论DEM地形分析中的尺度问题[J].地理研究,26(3):433-442.
王健欣.2013.典型地貌土地利用现状矢量数据栅格化的尺度效应及误差分析[D].山西:山西农业大学:58.
王卷乐,孙九林.2015.格网化资源环境综合科学调查的若干问题思考[J].地球信息科学学报,17(7):758-764.
王晓明,刘瑜,张晶.2005.地理空间认知综述[J].地理与地理信息科学,21(6):1-10.
王妍程,蔡列飞,侯继虎,等.2016.基于Geo SOT模型的地理国情监测多级网格信息统计[J].地理空间信息,14(1):8-12.
吴东亮,张旸.2007.林业网格化管理系统模型及实现的研究[J].北京林业大学学报,29(S2):18-21.
杨存建,张增祥.2001.矢量数据在多尺度栅格化中精度损失模型探讨[J].地理研究,20(4):416-421.
岳文泽,徐建华,谈文琦,等.2005.城市景观多样性的空间尺度分析——以上海市外环线以内区域为例[J].生态学报,25(1):122-128.
张迁迁,毕如田,张吴平,等.2015.多尺度EGLSN的构建及耕地地力模拟研究[J].中国生态农业学报,23(3):345-353.
张小虎,钟耳顺,王少华.2014.多尺度空间格网数据的索引编码研究[J].测绘通报,(7):35-38.
左伟,张桂兰,万必文,等.2003.中尺度生态评价研究中格网空间尺度的选择与确定[J].测绘学报,32(3):267-271.