基于GIS的高山峡谷地区土地适宜性评价——以云南省澜沧县为例

选择高山峡谷较为明显的澜沧县为研究区域,根据适宜性理论基础,科学地选择评价因子并建立评价体系,采用层次分析法确定各因素的权重,采用多因子加权叠加法对研究区域进行土地适宜性评价.在GIS技术支持下,建立土地信息的空间和属性数据库,对研究区域进行不同用地适宜性评价,将结果划分等级,衡量高山峡谷地区土地对农、林、牧及建设用地...     

山区土地评价的GIS空间分析建模研究

为了因地制宜地开发利用地形地貌复杂、土层较薄、基岩裸露率较高的山区土地,需要提前进行适宜性评价,目前主要采用Arc GIS空间分析方法进行分析处理,但是处理过程繁杂,易出错。本研究采用Arc GIS空间分析模型生成器对分析过程进行模型化处理,对每个评价因子数据处理过程进行处理流程建模,关联各个因子模型进行多因子综合评价,可得出山区土地资源建设适宜性评价模型。采用上述方法对研究区域进行相关分析处理,再结合大量地面调查,分析出的评估结果与实际土地开发利用适宜性有较高吻合度,验证了该GIS模型方法的科学性与可靠性,而且较常规的方法数据处理效率明显提高,数据处理模型也可以共享。     

基于GIS的威海环翠区城市土地适宜性评价

选取威海市环翠区为评价区域,结合土地适宜性评价的相关方法和理论,应用地理信息系统(GIS)技术、层次分析法(AHP)和多因子综合权重叠加分析法确定每个指标的权重及作用分值,划分评价单元并计算评价总分值,根据评价总分值对该区域进行土地适宜性分等定级。最终绘制出环翠区土地适宜性分级地图,为城市建设选址、城市规划等提供科学的指导。     

基于GIS的土地适宜性评价研究

长期以来,土地适宜性评价一直在土地规划利用中起着基础性作用。综述了土地适宜性评价的理论思想及技术方法,探讨了GIS支持下,叠加分析、多指标决策模型以及人工智能的各种土地适宜性评价方法及其优缺点,并提出了应用GIS进行土地适宜性评价存在的问题。     

兰州市建设用地适宜性评价

以兰州市为研究对象,利用GIS空间分析方法系统地探讨了兰州市建设用地适宜性的影响因子及其评价方法;并根据各因子对建设开发的影响程度,将其分为强限制性因子和较强限制性因子。通过对各影响因子的梳理、判断、打分、评价,最终形成了市域范围内的建设用地适宜性结果,并提出了土地利用布局调整建议。     

济南市土地利用生态环境功能区适宜度评价

以济南市为例,以适宜性理论为基础对济南市城市土地利用生态环境功能区进行了适宜性评价。并以MapInfo为平台,运用MapBasic语言进行二次开发,编写相关应用模块,将GIS技术应用于城市土地利用生态环境功能区适宜度评价。评价中运用改进的层次分析法确定评价因子的权重,同时利用GIS强大的空间分析和图形操作功能,将图形数据和属性数据统一管理,加强了评价的整体性和准确性,其评价结果可为济南城市发展规划与用地布局提供科学的理论依据。     

基于GIS的平顶山市建设用地生态适宜性评价

以平顶山市为例,探讨了煤炭资源型城市建设用地生态适宜性评价的指标体系、评价模型,以及在GIS和RS技术支撑下定量分析土地生态适宜性的方法。选取自然因素、社会经济因素、生态安全因素3个因素层12个因子层构成生态适宜性评价指标体系,采用层次分析法计算相关影响因子权重。在ENVI4.5支持下对平顶山市TM遥感影像进行解译,提取林地、耕地、水体、建设用地多因子图层,在Arc GIS10.0支持下建立数字高程模型,提取高度等地形因子。最后通过Arc GIS10.0空间分析模块对相关因子进行叠加分析,得到结果为:平顶山市最适宜用地占29.01%,较适宜用地占13.53%,基本适宜用地占14.71%,不适宜用地占16.05%,不可用地占26.70%。最后,结合评价结果,针对平顶山建设用地的特征提出合理化建议,以期为生态环境保护和城市规划建设提供科学依据。     

基于GIS的低丘缓坡开发为建设用地适宜性评价

以高安市低丘缓坡荒滩等未利用地为例,在GIS的支持下,利用定性、定量分析相结合的方式,在充分考虑影响城镇建设各种因子的基础上选取参评因子,构建建设用地适宜性评价因子体系,采用特尔斐法专家讨论确定参评因子的权重,利用土地潜力评价方法对其开发成建设用地的适宜性进行评价。     

GIS在土地适宜性评价中的应用研究

土地适宜性评价是指某块土地针对特定利用方式是否适宜，同时确定其适宜程度，并作出相应等级的评定，是土地潜力评价的进一步发展。GIS技术应用到土地适宜性评价中，可以大大提高评价的效率，保持评价定级的科学性、现势性和准确性，具有很好的应用前景。本文对GIS在土地适宜性评价中应用的方法、模型、空间数据库的建立等问题进行了研究和讨论。     

基于GIS的大庆市居住区空间适宜性分析

传统城市居住适宜性评价方法存在精度不高、评价效率较低等缺陷,提出了基于GIS的城市居住区空间适宜性评价方法,并以大庆市西城区为研究区进行分析实验。首先运用层次分析法(AHP)建立城市居住适宜性相关评价指标体系,然后应用ArcGIS空间分析功能依据评价指标体系生成派生数据集,并对各数据集的指标因子进行加权叠加,进而重分类并渲染,得到城市居住适宜性评价专题图。实验结果表明,该方法提高了工作效率和评价结果的准确性,实现了居住适宜性的可视化分析,为城市总体规划及建设布局提供了一定的指引。     

Land suitability analysis for cereal production in Himachal Pradesh (India) using Geographical Information System

Land suitability analysis is prerequisite for sustainable agriculture and it plays a pivotal role in the niche based agricultural planning in mountain regions. In this paper different parameters viz. climatic (precipitation and temperature), topographic (elevation), soil type and land cover/land use have been used in order to perform land suitability evaluation for cereals food-grain crops in Himachal Pradesh using Geographic Information System (GIS). The suitability analysis was performed by digital processing of geo-referenced data (elevation, climate, soil and landcover) and calculating potential production areas by combining different types of geographical data through decision rules framed for each crop in ArcView spatial analyst. Suitable areas have been delineated for cereal crops in the form of land suitability maps. In comparison to the actual area under cereal crops, the possibility of further expansion under each cereal crop was determined. These discriminated areas appear suitable for growing these crops and can be harnessed efficiently for achieving long term sustainability and food security.     

Modeling Site Suitability for Oil Palm Plantations in Southern Thailand

This study developed a methodology for land evaluation, using a multifactor evaluation in GIS. The Analytical Hierarchical Processing (AHP) and the Pairwise Comparison Method were employed for factor ranking and weighting. The Pairwise Comparison Method required experience in rating relative preferences. An experimental design approach was applied to address this requirement. Proposed models were analyzed and extensively tested against ground reference data and the overall accuracy of the method was compared with the results from a conventional method adopted by the Department of Agriculture, Thailand. The results indicated that the new method is an improvement over the previous one in terms of accuracy in the suitability ranking. It can be employed to assist in the prediction and modeling of oil palm land suitability.     

Integrated approach of using remote sensing and GIS to study watershed prioritization and productivity

Soil data obtained from soil resource inventory, land and climate were derived from the remote sensing satellite data (Landsat TM, bands 1 to 7) and were integrated in GIS environment to obtain the soil erosion loss using USLE model for the watershed area. The priorities of different sub-watershed areas for soil conservation measures were identified. Land productivity index was also used as a measure for land evaluation. Different soil and land attribute maps were generated in GIS, and R,K,LS,C and P factor maps were derived. By integrating these soil erosion map was generated. The mapping units, found not suitable for agriculture production, were delineated and mapped as non-arable land. The area suitable for agricultural production was carved out for imparting the productivity analysis; the land suitable for raising agricultural crops was delineated into different mapping units as productivity ratings good, fair, moderate and poor. The analysis performed using remote sensing and GIS helped to generate the attribute maps with more accuracy and the ability of integrating these in GIS environment provided the ease to get the required kind of analysis. Conventional methods of land evaluation procedures in terms of either soil erosion or productivity are found not comparable with the out put generated by using remote sensing and GIS as the limitations in generating the attribute maps and their integration. The results obtained in this case study show the use of different kinds of data derived from different sources in land evaluation appraisals.     

“一带一路”倡议下老挝沙湾区土地适宜性评价

为了对老挝沙湾区土地适宜性进行评价,本文选择了地形、土壤、水利、区位和生态5类13项指标,建立了老挝沙湾区土地适宜性评价指标体系;将层次分析法(AHP)与GIS技术相结合,对老挝沙湾区农业用地、林业用地和建设用地进行适宜性评价。研究结果表明:宜农用地占土地面积的30.16%,主要分布在海拔较低、坡度较小的沙湾拿吉大平原以及湄公河沿岸;宜林用地占土地总面积的60.07%,主要分布在东部和北部山区;宜建用地占土地总面积的4.62%,主要分布在平原地区,湄公河沿岸,以及交通较发达地区;不适宜用地占总面积的2.32%,主要分布在甘蒙省西北部以及东部。研究方法和研究结果可以为老挝沙湾拿吉省土地利用规划和相关研究提供科学依据与支持,同时为老挝今后的土地资源开发奠定基础。     

Development of a GIS-based decision support system for assessing land use status

The objectives of this study are to assess land suitability and to predict the spatial and temporal changes in land use types (LUTs) by using GIS-based land use management decision support system. A GIS database with data on climate, topography, soil characteristic, irrigation condition, fertilizer application, and special socioeconomic activities has been developed and used for the evaluation of land productivity for different crops by integrating with a crop growth model—the erosion productivity impact calculator (EPIC). International food policy simulation model (IFPSIM) is also embedded into GIS for the predictions of how crop demands and crop market prices will change under alternative policy scenarios. An inference engine (IE) including land use choice model is developed to illustrate land use choice behavior based on logit models, which allows to analyze how diversified factors ranging from climate changes, crop price changes to land management changes can effect the distribution of agricultural land use. A test for integrated simulation is taken in each 0.1o by 0.1o grid cell to predict the change of agricultural land use types at global level. Global land use changes are simulated from 1992 to 2050.     

Development of a GIS-based decision support system for assessing land use status

IntroductionAgriculturallandusepatternsandtheirchangesaretightlyrelatedwithagriculturepolicyandfoodsecurityissuesundergrowingfooddemand,assess mentofglobalclimatechangeimpactsonagricul ture,environmentalissuesduetotheintensificationofagriculturallandusessuchaswaterpollution,soildegradation,andrecentlywaterscarcityissues.Soasustainableandholisticplanningandmanage mentoflandresourcesshouldcombineallthesere latedinformationwithefficienttoolsforassessmentandevaluationinordertopermitbroad ,interact…     

Land suitability assessment for selected crops in Vellore district based on agro-ecological characterisation

Planning based on agro-ecological zoning aims at scientific management of regional resources to meet the food, fibre, fodder and fuel wood requirements without adversely affecting the status of natural resources and environment. An attempt has been made to map the agro-ecological units for Vellore district of Tamil Nadu and derive the crop-zone map for the four major crops namely, paddy, sugarcane, groundnut and millets. The basic theory of FAO framework for Land Evaluation was adopted to define the suitability of crops. Land quality details necessary for evaluating the agro-land suitability of crops and for delineating the agroecological units include the terrain, soil and climatic characteristics. Agro-ecological units map was generated by overlaying the agro-edaphic and agroclimatic map layers in GIS. The agro-land suitability map was generated by matching the crop requirement details with the land qualities. The results of the suitability evaluation, when compared with the current land use statistics of these crops showed that area cultivated is less than the area suitable for these crops.     

Land suitability studies for major crops in Pavagada taluk,Karnataka using remote sensing and GIS techniques

Pavagada taluk of Tumkur district in Karnataka is one of the most backward taluks receiving less than 500 mm annual rainfall. The maximum area of the taluk is under monocropping, reasons for the same were not documented well. The present study was carried out using remote sensing data along with field survey and laboratory analysis for assessing the potentials and limitations of soil. Using the basic information on soil, climate and topography based on the matching exercise between the growth and production requirements of the crop, suitability of soils for groundnut, paddy and finger millet was assessed as per FAO land evaluation. The soil suitability maps were prepared using Arc GIS software. About 48 per cent of the total area was moderate to marginally suitable and 13 per cent of the area was not suitable for both groundnut and finger millet. Lowland areas covering 12 per cent of the area was highly suitable, 15 per cent was moderate to marginally suitable and 20 per cent was not suitable for paddy cultivation.     

Site Suitability Analysis for Urban Development Using GIS Based Multicriteria Evaluation Technique

Identification of suitable site for urban development in hilly areas is one of the critical issues of planning. Site suitability analysis has become inevitable for delineating appropriate site for various developmental initiatives, especially in the undulating terrain of the hills. The study illustrates the use of geographic information system (GIS) and multicriteria evaluation (MCE) technique for selection of suitable sites for urban development in Mussoorie municipal area, Dehradun district, Uttarakhand. For this purpose Toposheet and IKONOS satellite data were used to generate various thematic layers using ArcGIS software. Criteria using five parameters, i.e. slope, road proximity, land use/land cover, land values and geological formation were used for site suitability analysis following land evaluation. The generated thematic maps of these criteria were standardized using pairwise comparison matrix known as analytical hierarchy process (AHP). A weight for each criterion was generated by comparing them with each other according to their importance. With the help of these weights and criteria, final site suitability map was prepared.