Application of multidate satellite imagery for land use planning and management in the drought prone areas of Karnataka

Based on visual interpretation of Multidate Landsat Imagery, the spatial distribution of land use/land cover over 45,000 sq.km, spread over the three drought prone districts of Bijapur, Belgaum and Dharwar in NW Karnataka, has been mapped. The land use/land cover is classified into five Level-I and twelve Level-II classes. The pattern of change in land use/land cover during the period October, 1980 and January, 1982 has been one of decline in all the land use classes (except for agricultural use, which is more due to seasonal change) which highlight the land use/land cover changes in the drought prone area. An optimum land use plan requires that all the cropland should be zoned for cultivation while marginal lands like scrub land and mixed barren land (from the view point of cultivation) should be zoned for pasture/grazing and animal husbandary. There is a case for flexibility here, depending upon the pressure of population on land. The accuracy level of the ‘information base’ of the thematic map(s) obtained from Landsat imagery is 94 percent.     

晋城市土地利用总体规划实施效益评价研究

探索简便、精确的土地利用总体规划实施效益评价方法是土地利用总体规划研究的重要内容.本文在深入分析国内已有评价方法优劣的基础上,将层次分析法与模糊综合评价法结合建立了基于AHP的模糊综合评价模型(AHP-FUZZY),并应用于山西省晋城市.通过评价得出晋城市上轮土地利用总体规划实施效益较好,较大程度上实现了规划的预期效益...     

Use of satellite data in urban sprawl and land use studies - a case of lucknow city

The Lucknow Urban Sprawl map for 1972-92 and land use/land cover map of Lucknow area for 1992 were prepared from the satellite imageries of different time period. The analysis has revealed that Lucknow City has been growing at a faster rate especially during the last decade. Most of growth has been towards north-east and South-West direction along major transport routes.     

A rule-based system for forest land use planning

This paper reports the results of an exercise on the development and application of a rule-based software program,Combine for integration of thematic information in simplest possible way. The program was used for forest land use planning in a shifting cultivation area in north-east India. The program can integrate 28 thematic information layers with upto 256 classes in each layer using 8-bit data. Additionally the software can be used for many per pixel image processing operations like merging of digitally and visually classified images, merging of a large number of thematic classes into a few wanted ones, density slicing, image thresholding etc. conveniently.     

Spatio-temporal analysis of land use in urban mumbai -using multi-sensor satellite data and gis techniques

The process of urbanization has induced rapid changes in the land use leading to many infrastructural and environmental problems, one of them being the frequent flooding during rains in major cities across the world. Present paper analyses the spatio-temporal variations in the urban land use of the Mithi river catchment in Mumbai and its effect on the river, its drainage and flooding events in catchment area, specifically in conjunction with the July 26, 2005 flood event in Mumbai City. Multi sensor satellite data and GIS techniques have been used to generate land use/land cover at three different points of time and study variations in the Mithi river course, thus correlating the land use/cover changes vis-a-vis the hydrographic and meteorologic information for the Mithi river catchment. Results point to the adverse human-induced influences on the Mithi river and its catchment. Almost 50% reduction in river width and 70% decrease in mudlfats and open spaces have been observed. There is also a clear rise in builtup from 29% to 70% between 1966 and 2005, thus increasing the impervious surface which in turn increases run-off during major rainfall, eventually flooding the city.     

Assessment of Nigeriasat-1 satellite data for urban land use/land cover analysis using object-based image analysis in Abuja,Nigeria

This study assesses the usefulness of Nigeriasat-1 satellite data for urban land cover analysis by comparing it with Landsat and SPOT data. The data-sets for Abuja were classified with pixel- and object-based methods. While the pixel-based method was classified with the spectral properties of the images, the object-based approach included an extra layer of land use cadastre data. The classification accuracy results for OBIA show that Landsat 7 ETM, Nigeriasat-1 SLIM and SPOT 5 HRG had overall accuracies of 92, 89 and 96%, respectively, while the classification accuracy for pixel-based classification were 88% for Landsat 7 ETM, 63% for Nigeriasat-1 SLIM and 89% for SPOT 5 HRG. The results indicate that given the right classification tools, the analysis of Nigeriasat-1 data can be compared with Landsat and SPOT data which are widely used for urban land use and land cover analysis.     

Role of satellite remote sensing in land system mapping,land resources inventory and land use planning: A sample study of kemang river basin,Arunachal Pradesh

Here an attempt has been made to highlight the importance of satellite remote sensing in land system mapping, land resources inventory and land use planning of a sample river basin (in Arunachal Pradesh) covering an area of 10,186 sq. km. The (Kemang) river basin has been divided intofour land systems viz : structural, denudational, piedmont and fluvial. Each system has been analysed with respect toeight land water-land use (resource) parameters for proper land use and environmental management of the river basin. A tentative‘productivity/development strategy ranking’ is also given for optimum planning of the basin.     

Land use/land cover changes near HAzira Region, Gujarat using remote sensing satellite data

Human activities have great influence on fragile coastal ecosystem. For sustainable use of coastal resources it is very important to understand land use/land cover changes and its implications on coastal systems. Remote sensing data because of its synoptic, multispectral and multi temporal nature can be a very good source for mapping, monitoring and understanding these changes. IRS LISS III sensor data were used to find out the rate of land use/land cover changes in Hazira area near Surat, Gujarat. Because of major industrial activities it has become a hot spot area which requires regular monitoring. In the present study, land cover information of the period 1970–1972 from the Survey of India topographical maps, and satellite data of the year 1989 and 1999–2002 have been used and visual analysis has been carried out to measure the land use/land cover changes. Erosion and deposition has been observed around the newly constructed jetty. Forest area and agriculture area is found to decreased, whereas built-up area has increased.     

国产卫星数据在土地利用现状宏观监测中的应用评价

利用环境减灾一号卫星(HJ-1)、北京一号卫星(BJ-1)和中巴资源卫星02B星(CBERS-02B)3种国产卫星图像,选取全国范围内6个地形各异的地区,进行了土地利用宏观监测分析评估.采用多种现状信息提取方法,从分类方法、样本数量和特征数据对分类精度的影响进行了比较和分析.发现最大似然法简单易行,精度较高且稳定;面向对象法可明显提高HJ-1图像和BJ-1图像的分类精度.基于最大似然法,CBERS-02B图像样本数为50时,分类精度趋于稳定,且Kappa系数可达0.8以上;HJ-1图像和BJ-1图像样本数达60时精度趋于稳定,Kappa系数可达0.7以上.增加NDVI,DEM等特征数据可提高CBERS-02B图像分类精度,增加DEM特征数据可提高HJ-1图像和BJ-1图像分类精度.在全国范围内实现每2-3年1次的土地利用宏观监测时,为了保证在全国范围内都能获取有效数据,可综合考虑多种中分辨率国产卫星数据的综合应用,本文的结论为宏观监测提供了监测精度和技术方法上的科学参考依据.     

The applications of high resolution satellite data for coastal management and planning in a pacific coral Island

Abstract

Coastal Tropism is a worldwide phenomenon. It induces urgent needs for observation inventories and management of coastal environment, mainly in developing countries.

High resolution satellite data may solve some aspects of the problems. Three examples based upon the potential use of shrimp aquaculture sites in tropical salt marshes, the biotopes mapping in coral reef environments for biologic stock assessments and the characterization and quantification of evolutive stages of coral platforms, are developed. All three are relative to the same tropical Pacific Island with respect, for the first and second examples, to actual needs for the management of mangroves and coral reefs and for the third, to a scientific approach related to evolutive theory of reefs platforms in lagoons.

Methodology and results based upon digital image processing and computer assisted photointerpretation are exposed.

New trends in digital processing and associated digital cartography are listed.     

Use of aerial photo-interpretation techniques for land evaluation of a part of Bolangir district,Orissa

The land evaluation has been of paramount importance for the planned development and resource utilization of an area, specially for locating better potential zones for increasing agricultural production. Large areas in the country are yet to be evaluated based on their productivity and potentiality. A case study was undertaken in a part of Bolangir district of Orissa, by using small scale aerial photographs.     

土地规划整理技术研究

文章介绍了土地规划整理的重要意义、基本任务和总体目标,阐述了其关键技术问题以及总体工程布局,分析其社会经济效益与生态效益,为国家当前大力开展的土地规划提供技术依据。     

Analytical dynamic orbit improvement for the evaluation of geodetic-geodynamic satellite data

Summary Given an analytical solution (solution of the equations of motion using analytical integration techniques) an integration of the variational equations is not necessary but simply a differentiation of the analytical solution. Based on a high-precision analytical solution explicit expressions for the coefficients of the observation equations to improve state variables and force model parameters have been derived.The definition of suitable unknowns for a pure dynamic orbital improvement can be based then on an analysis of the information content of the data at hand by using those expressions.Regarding the Fourier series structure of orbital perturbations as well as the special properties of crossover difference data, the proposed technique is particularly favourable for an evaluation of Remote Sensing Data such as altimeter, SST and gradiometer data from satellites in repeating orbits.After a general discussion of the observation equations for crossover data our present results using GEOSAT altimeter data are discussed as one example for applications. Some short remarks about further applications are given.     

Soil resource appraisal towards land use planning using satellite remote sensing and gis a case study in patloinala micro-watershed, district puruliya, west bengal

Visual interpretation of IRS ID LISS-III fused with PAN data (1:12,500 scale) ofPatloinala micro-watershed of Puruliya district, West Bengal was carried out for delineating the physiographic units based on the variations in image characteristics. The major physiographic units identified were upland(Tanr), medium land(Baid), and low land(Bahal andKanali). The satellite remote sensing data coupled with ground truth were translated in terms of soils using composite interpretation map as base. The abstraction level attained was phases of soil series based on Soil Taxonomy. On the basis of physiographic variation and soil or soil site characteristics such as texture, depth, slope, erosion etc. the problem areas were identified and land use plan has been suggested for the overall development of the micro-watershed.     

不同时期土地利用空间数据同化方法

针对不同时期土地利用空间数据之间的差异以及常用软件的不足,该文基于空间数据同化基本理论及策略,提出了FME与ArcGIS联合的不同时期土地利用空间数据同化方法。详细阐述了该方法的实施步骤及相关原理,并进行了初步的实验验证。实验结果表明,所提方法能够快速高效地消除不同时期土地利用数据之间在数据格式、数据语义、坐标系统等方面的差异,提高数据之间的协调一致性。该研究为不同时期土地利用空间数据的综合应用与分析提供了参考。     

Advancements in web‐mapping tools for land use and marine spatial planning

Land use and marine spatial planning processes are increasingly supported by systematic assessment techniques, particularly by multi‐criteria spatial analysis methods. This has been facilitated by the growing release and uptake of web‐mapping tools, which contribute to transparent, consistent, and informed planning processes and decisions. This article reviews the usability, functionality, and applicability of contemporary planning web‐mapping tools to identify the state‐of‐the‐art and future prospects. The review reveals that interfaces are increasingly available and intuitively applicable by non‐specialized users. Basic map navigation and data querying functionality is being expanded to incorporate advanced map‐making and online data geoprocessing capabilities that enable deriving new data and insights. However, the majority of published planning web tools are one‐off solutions, and a disconnect between research and practice is rendering many of these inaccessible or obsolete. Despite the significant progress made in advancing their provision in the last decade, there is a need for developing transferable interfaces that are maintained beyond project end dates, for them to effectively and consistently support planning processes.     

A data mining approach for evaluation of optimal time-series of MODIS data for land cover mapping at a regional level

Optical Earth Observation data with moderate spatial resolutions, typically MODIS (Moderate Resolution Imaging Spectroradiometer), are of particular value to environmental applications due to their high temporal and spectral resolutions. Time-series of MODIS data capture dynamic phenomena of vegetation and its environment, and are considered as one of the most effective data sources for land cover mapping at a regional and national level. However, the time-series, multiple bands and their derivations such as NDVI constitute a large volume of data that poses a significant challenge for automated mapping of land cover while optimally utilizing the information it contains. In this study, time-series of 10-day cloud-free MODIS composites and its derivatives – NDVI and vegetation phenology information, are fully assessed to determine the optimal data sets for deriving land cover. Three groups of variable combinations of MODIS spectral information and its derived metrics are thoroughly explored to identify the optimal combinations for land cover identification using a data mining tool.The results, based on the assessment using time-series of MODIS data, show that in general using a longer time period of the time-series data and more spectral bands could lead to more accurate land cover identification than that of a shorter period of the time-series and fewer bands. However, we reveal that, with some optimal variable combinations of few bands and a shorter period of time-series data, the highest possible accuracy of land cover classification can be achieved.