共查询到20条相似文献，搜索用时 15 毫秒
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Mehrdad Bijandi Mohammad Karimi Bahman Farhadi Bansouleh Wim van der Knaap 《Transactions in GIS》2021,25(1):551-574
In the process of agricultural land consolidation, the land parcels are optimally redesigned and rearranged in such a way that the dimensions of the resulting parcels are proportional to agricultural criteria such as irrigation discharge, soil texture, and cropping pattern. Besides these criteria, spatial factors like slope, road accessibility, volume of earthwork, and geometrical factors such as size and shape of parcels are also included in the design process of agricultural land partitioning. In this study, a land partitioning model was proposed using a multi‐objective artificial bee colony algorithm (MOABC‐LP) taking into consideration the mentioned factors. Initially, a feasible dimension range of parcels in a block was calculated based on irrigation efficiency. Two partitioning layouts were defined according to the topography and geometry of blocks. The proposed method was applied to a real study area and the results suggest that the land partitioning plan obtained by the MOABC‐LP model, in comparison with a designer's plan, not only makes the shape and size of parcels more compatible with the topographical and agricultural conditions of each block, but also reduces their cut‐and‐fill ratio. 相似文献
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In certain agricultural fields of Khambhat Taluka in Gujarat State, the salinity has increased considerably rendering the land completely infertile. The occurrence of salinity in this area can be attributed partly to subsurface sea‐water ingress and partly to improper land and water management practices prior to implementation of irrigation. Landsat MSS or TM and IRS IA LISS II data was used to test the feasibility of delineating saline soils by both visual image interpretation and digital analysis. The study of saline soils using multi‐temporal Landsat images of the year 1977, 1983, and 1987, indicated an evident increase in saline areas in past few years. The Soil Brightness Index (SBI) generated from the IRS‐IA data by the application of MSS equivalent coefficients brought out different categories of soil degradation. The supervised classification scheme aided in generating various salinity levels. The analysis of the soil samples of the above area exhibited increasing values of Electrical Conductivity (ECe), and the soluble cations with increasing levels of salinity. 相似文献
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Abstract This study advocates the use of GIS and remote sensing technologies to establish urban evolution maps and assess the impact of urbanization on agricultural areas over the last three decades. The target area is the city of Béni‐Mellal, located in central Morocco. The methodology adopted makes use of panchromatic SPOT images to survey the urban areas during the 1980s and 1990s. Available topographic maps provided the information for the 1970s. Maps and statistics of land use and urban growth for Béni Mellal were established after manually classifying images on a per-polygon basis and digitizing topographic maps using GIS capabilities. The results show an increase in dense urban area by 980.7 ha from the 1970s to the 1990s. This increase occurred at the expense of forests (24.7 ha), plantations (752.3 ha), rangeland (113.4 ha), non‐irrigated land (69.7 ha), and irrigated land (20.6 ha). During this period, scattered urban areas, predominantly suburbs, increased by 755.9 ha to the detriment of forests (14.9 ha), plantations (109.8 ha), rangeland (138.9 ha), non‐irrigated land(400.5 ha), and irrigated land (91.9 ha). These cartographic and statistic results are efficient decision‐making tools for protecting agricultural land and planning urban and suburban areas. 相似文献
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Susanna Azzali 《国际地球制图》2013,28(3):15-26
A method to correlate crop production in Zambia to the yearly evolution of the Normalized Difference Vegetation Index (NDVI) is proposed. The method consists of the analysis of remote sensing data together with meteorological data and simulated crop production to obtain indicators of crop production. The accuracy of these indicators is assessed with statistical data. The main objective was to assess whether the NDVI‐time series extracted from NOAA‐AVHRR‐images , having a pixel resolution of 73 km may give reliable information on crop production in Zambia where agricultural areas cover just 1% of the land area. The mean NDVI‐value of several pixels, e.g. for one province or other administrative units, relates to the dominant type of vegetation in the area under consideration. It is shown that the 7.3 km NDVI‐data give reliable indications on crop production in Zambia, when small areas (200–450 km2 large ) are considered where agricultural land use is intensive. This implies that preliminary analysis is required to localize the agricultural areas. This has been done by means of high resolution satellite images i.e. LANDSAT‐MultiSpectral Scanner. Consequently, the NDVI‐time series of the ‘agricultural ‘ pixels are used to calculate crop growth indicators which can be applied to assess the crop production. 相似文献
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The aim of this research is evaluation of land suitability for urban land‐use planning. Four factors and fourteen criteria were selected for suitability analysis and land‐use planning. Factors and criteria were defined based on literature survey, experts’ opinions, local contexts and availability of data. GIS‐based Analytical Hierarchy Process (AHP) was used as a Multi‐criteria Decision Making model. The study was conducted on a selected area of Dhaka city, which is one of the fastest growing mega‐cities of the world. The research result shows that highly suitable area (13%) should be used for urban residential zone; moderately suitable area (35%) should be designated as mixed use zone; low suitable area (42%) should be reserved for agricultural use and open spaces; and not suitable area (10%) should be protected from any types of activities except agriculture. The research approached an urban land‐use planning at a regional scale. 相似文献
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Agricultural Census data is summarised over spatially coarse reporting units for reasons of farm confidentiality. This is problematic for research at a local level. This article describes an approach combining dasymetric and volume preserving techniques to create a national land use dataset at 1 km2 resolution. The results for an English county are compared with contemporaneous aggregated habitat data. The results show that the accurate estimates of local agricultural land use (Arable and Grass) patterns can be estimated when individual 1 km squares are combined into blocks of > 9 squares, thereby providing local estimates of agricultural land use. This in turn allows more detailed modelling of land uses related to specific livestock and cropping activities. The dataset created by this work has been subject to extensive external validation through its incorporation into a number of other national models: nitrate leaching (e.g. MAGPIE, NEAP‐N), waste, and pathogen modelling related to agricultural activity. 相似文献
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Much effort has been applied to the study of land use multi‐objective optimization. However, most of these studies have focused on the final land use scenarios in the projected year, without considering how to reach the final optimized land use scenario. To fill this gap, a spatio‐temporal land use multi‐objective optimization (STLU‐MOO) model is innovatively proposed in this research to determine possible spatial land use solutions over time. The STLU‐MOO is an extension of a genetic land use multi‐objective optimization model (LU‐MOO) in which the LU‐MOO is generally carried out in different years, and the solutions at year T will affect the solutions at year T + 1. We used the Wuhan agglomeration (WHA) as our case study area. The STLU‐MOO model was employed separately for the nine cities in the WHA, and social, economic, and environmental objectives have been considered. The success of the experiments in the case study demonstrated the value and novelty of our proposed STLU‐MOO model. In addition, the results also indicated that the objectives considered in the case study were in conflict. According to the results, the optimal land use plan in 2050 can be traced back to 2040, 2030, and 2020, providing a series of Pareto solutions over the years which can provide spatio‐temporal land use multi‐objective optimization solutions to support the land use planning process. 相似文献
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我国城市化步入快速发展时期,城市用地的迅速增长,使得大量的农用地正在快速转变为非农业用地。本文以GIS技术为核心,在快速城市化的背景下,综合考虑农用地的经济价值和社会价值影响因素,建立评价模型,通过对南京市江宁区和六合区为例进行实证比较研究,探索农用地评价的方法和规律,为农用地的征用、整理、分等、定级和估价提供一定科学依据。 相似文献
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基于ArcGIS Obejects,设计并开发了基于粮食安全的村镇区域农用地质量综合评价系统,该系统能够对不同尺度的农用地进行评价,特别是村镇区域,充分考虑了污染物对农用地质量的影响,融合了多种指标获取、指标量化、权重确定、分值计算等技术,并能够对评价的成果进行专题图的制作,适用于不同目的的农用地质量评价。 相似文献
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农用地多功能利用是黑龙江省沿边开放带土地利用效率提升及生态经济协调发展的客观要求,农用地利用多功能性评价是其基础工作。该文系统地研究了农用地利用多功能性评价方法,测度了1996年、2004年、2013年黑龙江省农用地利用多功能状态及期间变化。研究表明,1996~2013年黑龙江省农用地利用总功能缓慢提高,多功能协调性逐步提升;农用地利用由单一功能逐渐向多功能转变。为扩大农用地利用多功能整体效应并提高农用地利用多功能协调性,稳定生产功能、加快提高经济功能、重点遏制生态功能退化、逐步提高社会功能是沿边开放带今后的农用地利用方向。 相似文献
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当前基于现状用途的管制存在管制方式偏行政化、管制手段无偿化导致农村集体土地收益偏向国有、非农产业和城市分配,重塑用途管制制度已显示出迫切性。本文探索基于最佳用途,通过"用途差"和"用途差"交易实现土地用途有偿管制的机制,认为通过用途有偿管制机制不仅可以保护农用地,特别是耕地资源,保障土地资源的可持续利用。而且,可激活土地资源价值,特别是有助于农用地资源资产、资本化,缩小农村、农业和农民家庭资产与收入与城镇的差距。 相似文献
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农用土地资源的合理流转和优化配置,是稳定农村土地承包关系、提高土地利用率、促进农村剩余劳动力转移、推动农业产业化进程、实现农业增长方式的两个根本性转变、增加农民收入的重要途径。本文在阐述玉田县农用土地资源流转形式、特点的基础上,研究分析了土地资源流转的成因、作用与效益,提出了加快土地流转的4项建议。 相似文献
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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. 相似文献
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IntroductionAgriculturallandusepatternsandtheirchangesaretightlyrelatedwithagriculturepolicyandfoodsecurityissuesundergrowingfooddemand,assess mentofglobalclimatechangeimpactsonagricul ture,environmentalissuesduetotheintensificationofagriculturallandusessuchaswaterpollution,soildegradation,andrecentlywaterscarcityissues.Soasustainableandholisticplanningandmanage mentoflandresourcesshouldcombineallthesere latedinformationwithefficienttoolsforassessmentandevaluationinordertopermitbroad ,interact… 相似文献
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Land quality index assessment for agricultural purpose using multi-criteria decision analysis (MCDA)
Tarun Kumar 《国际地球制图》2015,30(7):822-841
In this study, an attempt has been made to apply Remote Sensing (RS) and geographic information system (GIS) to determine land quality for agriculture purpose using analytic hierarchy process technique. In this study, various thematic layers were used like organic matter content, soil texture, soil depth, soil pH, soil P, soil K, geomorphology, run-off potential, slope and land use/land cover to assess the land quality index of the study area for the agriculture purpose which were generated in the RS and GIS environment. The study area can be divided into four zones, viz. high quality, moderately quality, marginally quality and low quality according to their suitability of land quality for agriculture purpose. It was found that about 39.09, 31.24, 20.41 and 9.26% of the study area falls under high quality zone, moderately quality, marginally quality and low quality zone, respectively, for agricultural purpose. 相似文献
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农业“一张图”构建与综合数据分析 总被引：1，自引：0，他引：1
上海市农业“一张图”通过地理信息技术建立一个“虚拟农业农村地理环境”,以农用地块为基础,汇聚了多源的农业地理信息数据,形成了以农用地块为唯一识别码,在农用地块基础上挂接各种农业专题信息的丰富的农业地理信息大数据。为加强数据共享和应用,本文通过OGC标准服务接口和定制化空间信息服务接口为各业务系统提供统一的农业地理信息支撑服务,包括WMS服务和WFS服务。同时,通过农业综合大数据分析,可以为本市绿色农业发展及农业供给侧结构性改革提供数据支撑和技术支撑。 相似文献
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Large-scale land change maps are essential to support policies addressing land transformations. Calibration and validation of large-scale land change maps require reference data that are commonly acquired by visual interpretation of remotely sensed images. However, visual interpretation itself is prone to error. Little is known about factors influencing the quality and consistency of changes detected by visual interpretation. This paper reports on an experiment assessing the effect of the number of very high resolution images and land change process types on the consistency of visual interpretations. The experiment involved 48 sites scattered over Europe for which 18 individuals interpreted very high resolution images, which were provided via Google Earth. Land change process type was found to have a significant impact on the consistency of visual interpretations, while the marginal effect of the number of images was not significant. Absence of change on non-agricultural land was interpreted with high consistency. On the contrary, agricultural land abandonment and reforestation were the least consistent in their interpretation. We conclude that for increased efficiency, resources allocated to acquire reference data by visual interpretation should be adjusted based on the expected type of land change. Interpretation of agricultural land abandonment, reforestation and agricultural land expansion require most efforts. 相似文献
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Monitoring agricultural land cover is highly relevant for global early warning systems such as ASAP (Anomaly hot Spots of Agricultural Production), because it represents the basis for detecting production deficits in food security assessment. Given the significant inconsistencies among existing land cover datasets, there is a need to obtain a more accurate representation of the spatial distribution and extent of agricultural area in Africa. In this research, we explore a fusion approach that combines the strength of individual datasets and minimises their limitations. Specifically, a semi-automatic method is developed, relying on multi-criteria analysis (MCA) complemented with manual fine-tuning using the best-rated datasets, to generate two hybrid and static agricultural masks – one for cropland and another for grassland. Following a comprehensive selection of land cover maps, each dataset is evaluated at country level according to five criteria: timeliness, spatial resolution, comparison with FAO statistics, accuracy assessment and expert evaluation. A sensitivity analysis is performed, based on an evaluation of the impact of weight settings on the resulting land cover. The proposed methodology is capable of improving agricultural characterisation in Africa. As a result, two static masks at 250 m spatial resolution for the nominal year 2016 are provided. 相似文献