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1.
1 IntroductionThesystemoflanduseisaverycomplexsystem .Wedrawuptheprojectoflanduseplanningstructuretoimplementtheopti mizationoflandresources .Theoptimizationoflandusestruc tureisthekerneloflanduseplanning .Today,mostoftheurbanlanduseplansonlyconsidertheop…  相似文献   

2.
Optimization of Land Use Structure Based on Ecological GREEN Equivalent   总被引:1,自引:0,他引:1  
Optimization of land use structure consists of economic and social and ecological optimization.Applying the minds of system engineering and principles of ecology,this paper presents such thoughts:the optimal forest-coverage rate calculated according to the reality of a district is set as main standard of ecological rationality in the district;through considering the value of ecosystem services of the land with GREEN equivalent(mainly cultivated land and grassland)and based on the rule GREEN equivalent,this paper introduces the area conversion between woodland and cultivated land ,also between woodland and grassland;this paper establishes a multi-dimension controlling model of optimization of land use structure,In addition,a multiobjective linear programming model for optimization of land use structure is designed.In the end,this paper tests and verifies this theory of ecological optimization,taking Qionghai city in Hainan Province as an example.  相似文献   

3.
《The Cartographic journal》2013,50(2):169-180
Abstract

Colour is a very important visual variable and is often used for the communication of information in maps, graphics and diagrams. In cartography, the use of colour, in both a traditional and an electronic medium, has been widely discussed. With the growing use of a range of computer software (cartographic, remote sensing, Geographical Information Systems (GIS), and more recently the Internet or World Wide Web) as the main environment in which to design and create maps, and the availability of more sophisticated hardware, there is now an even greater opportunity and freedom of choice to make use of colour as a vital component in the communication of spatial information. The question is how to handle all these colours. This paper explores the importance of both the choice and use of colour in a paper and an electronic medium, and examines some of the ways in which more careful choice of colour can be encouraged in practice to ensure that the growing freedom of use considers the correct use of colour.  相似文献   

4.
This paper gives some guidelines of land use planning firstly.A framework of agriculture land use planning is designed based on land use suitability evaluation using integrated technologies of RS and GIS.Further work expected is also given.  相似文献   

5.
A tide model (named DN1.0), which contains 12 principal constituents over China seas and the Northwest Pacific is estimated by along-track harmonic analysis with TOPEX/Poseidon altimetry data taken from 1993 to 2002. CSR3.0, FES95.2 and DN1.0 are used respectively to detide the data for the time series of sea level anomaly (SLA) in the Yellow Sea, East China Sea, South China Sea and Northwest Pacific. The SLA curves and the power spectral density show that the major components that exist in SLA in China seas arise from the error of the tide models.  相似文献   

6.
标准分幅土地利用现状图制作与输出是广州市第二次全国土地调查的一项重要工作。由于国家、省没有1:2000土地利用现状图的标准或技术规程,根据我市作业模式、数据特点,制定了技术要求,开发了由建库数据到制图数据的转换程序,依据上交给国家、省的数据库成果,完成了全市十区两市10225幅图的电子数据制作,并打印纸质图件归档。  相似文献   

7.
The present study aims to estimate the loss of land use/cover and infrastructure facilities due the submergence by constructing the reservoir over the River Godavari at Polavaram Village. Detailed Land use/cover mapping has been carried out using LISS-III sensor data of IRS P6 satellite and linked to socio-economic data to analyze the administrative boundary wise environmental impact assessment in the study area. Land use/cover features are estimated from the Remote Sensing data through visual interpretation. Area covered below the 45.72 m contour above the mean sea level (MSL) is taken as submerged area due to the dam construction. Total area under submergence is estimated to be 58,658 ha, where 159 villages of three districts are affected by the project. The total population to be rehabilitated is about 1.2 lakhs, out of which maximum affected are Scheduled Tribes (58,781). Besides this, about 311 educational institutions, 202 medical institutions, 37 credit institutions and 55 postal institutions will be submerged due to the project. Further, nine mining sites, 24 tourist/historical sites and 78 agro-based industries will be displaced. The total road length of 673 km will go under submergence.  相似文献   

8.
Abstract

Attempts to analyze urban features and to classify land use and land cover directly from high‐resolution satellite data with traditional computer classification techniques have proven to be inefficient for two primary reasons. First, urban landscapes are composed of complex features. Second, traditional classifiers employ spectral information based on single pixel value and ignore a great amount of spatial information. Texture plays an important role in image segmentation and object recognition, as well as in interpretation of images in a variety of applications. This study analyzes urban texture features in multi‐spectral image data. Recent developments in the very powerful mathematical theory of wavelet transforms have received overwhelming attention by image analysts. An evaluation of the ability of wavelet transform in urban feature extraction and classification was performed in this study, with six types of urban land cover features classified. The preliminary results of this research indicate that the accuracy of texture analysis in classifying urban features in fine resolution image data could be significantly improved with the use of wavelet transform approach.  相似文献   

9.
Abstract

The goal of this research was to explore the utility of very high spatial resolution, digital remotely sensed imagery for monitoring land‐cover changes in habitat preserves within southern California coastal shrublands. Changes were assessed for Los Penasquitos Canyon Preserve, a large open space in San Diego County, over the 1996 to 1999 period for which imagery was available.

Multispectral, digital camera imagery from two summer dates, three years apart, was acquired using the Airborne Data Acquisition and Registration (ADAR) digital‐camera system. These very high resolution (VHR) image data (1m), composed of three visible and one near‐infrared wavebands (V/NIR), were the primary image input for assessing land cover change. Image‐derived datasets generated from georeferenced and registered ADAR imagery included multitemporal overlays and multitemporal band differencing with threshold selection. Two different multitemporal image classifications were generated from these datasets and compared. Single‐date imagery was analyzed interactively with image‐derived datasets and with information from field observations in an effort to discern change types. A ground sampling survey conducted soon after the 1999 image acquisition provided concurrent ground reference data.

Most changes occurring within the three‐year interval were associated with transitional phenological states and differential precipitation effects on herbaceous cover. Variations in air temperatures and timing of rainfall contributed to differences that the seven‐week image acquisition offset may have caused. Disturbance factors of mechanical clearing, erosion, potentially invasive plants, and fire were evident and their influence on the presence, absence, and type of vegetation cover were likely sources of change signals.

The multitemporal VHR, V/NIR image data enabled relatively fine‐scale land cover changes to be detected and identified. Band differencing followed by multitemporal classification provided an effective means for detecting vegetation increase or decrease. Detailed information on short‐term disturbance effects and long‐term vegetation type conversions can be extracted if image acquisitions are carefully planned and geometric and radiometric processing steps are implemented.  相似文献   

10.
Abstract

Mission Geography is a collaboration between the United States' National Aeronautic and Space Administration (NASA) and the American “Geography Education National Implementation Project” (GENIP), created to provide for and develop curriculum supplementary material for teachers of grades Kindergarten through High School (grade twelve). Mission Geography uses NASA imagery and scientific inquiries to teach about Earth. This paper provides an example of how geographic concepts concerning volcanoes and volcanic hazards can be taught at the American middle school level (grades 5‐8) using NASA resources  相似文献   

11.
Progress in GIScience has advanced the ability to represent and analyze view characteristics. GIS‐derived view measures requiring digital elevation surface models are used in hedonic property models to quantify the amenity value of view for parcel sales transactions. Ideally models should represent surface elevations that are temporally synchronized with parcel sale dates. Temporal synchronization for studies spanning multiple years may require significant effort. Few studies have undertaken this effort, leading us to investigate in this research the need to be temporally explicit. We evaluate two competing surface model approaches based on: (1) a single year 2000 LiDAR surface product; and (2) annual‐specific surface products for 1995–2002. Two competing view measures based on the different surface approaches are constructed for 561 parcel transactions during 1995–2002 in a coastal North Carolina county and are input into hedonic regression models. Results showed that being temporally explicit did matter in terms of finding significantly different view measures but did not matter in terms of finding significantly different effects of view on parcel sales prices. Despite mixed results for our case study, we advise that future research involving GIS‐based view measurement should consider the spatial and temporal contexts of study area development patterns when evaluating the need to be temporally explicit.  相似文献   

12.
Improper utilization of natural resources without any conservation work is the prime cause of the watershed deterioration. Fast developmental activities and population pressure in the hills of Khanapara?CBornihat area near Guwahati city (about 10?km east of Guwahati) results rapid alteration of the land use/land cover in the recent times. This also causes the growth of land use over the unsuitable topography. As a result, there is a general degradation of the natural resources within the area. So, urgent measures have to be adopted to take up the conservation measure for the management of natural resources. Watershed wise conservation is considered to be the most acceptable and convenient approach. In the context of watershed management, watershed prioritization gained importance in natural resource management. The present study makes an attempt to prioritize the sub-watersheds for adopting the conservation measure. The prioritization is based on land use and slope analysis using Remote Sensing and GIS techniques in Khanapara?CBornihat area of Assam and Meghalaya state (India). The study area of 323.17?sq. km is divided into three 5th order, four 4th order and two 3rd order sub-watersheds. Land use/Land cover change analysis of the sub-watersheds has been carried out using multi temporal data of SOI toposheets of 1972 and IRS LISS III imagery of 2006. The study shows the significance changes in land use pattern especially in settlement and forest lands from 1972 to 2006. Slope map of the sub-watersheds prepared from the contour values in the toposheets show the wide variation of slope in the area ranging from 0° to 87°. Based on the extent/nature of land use/land cover changes over time and land use/land cover??slope relationship analysis, the sub-watersheds are classified into three categories as high, medium and low in terms of priority for conservation and management of natural resources.  相似文献   

13.
Effective quantification of land cover changes remains a challenge in Himalayan hills and mountains, and has a colossal value addition for natural resource management. Here we present a new robust method for classifying land cover vegetation at physiognomic scale along steep elevational gradients from ~?200 to ~?7000 masl in the Kailash Sacred Landscape, Western Himalaya, India along with four decades of land use and land cover changes (1976–2011) using remote sensing techniques coupled with intensive ground surveys. Results show that forest cover loss was minimum ca 7.14% of existing forest in 1976; but, however forest fragmentation is high especially in montane broad-leaved and subtropical needle leaved forests. This change largely impacted the quality of valuable tree species such as Quercus spp. Post 1976, continuous migration forced conversion of high altitude agricultural lands into grasslands and scrublands. Human settlement expansion was high especially in low altitudinal range valleys between 1000 and 2000 masl and has increased 6.76 fold since 1976, leading to high forest fragmentation in spite of reduced agriculture area in the landscape. Our physiognomic level classified land cover map will be a key for forest managers to prioritize conservation zones for protecting this unique forest land.  相似文献   

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