Abstract inner Mongolia Autonomous Region is the largest animal husbandry production base in China. It plays a very important role in China’s economy.




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Key words: GPS, Crust Deformation, drift velocity, GAMIT

The stratified and automatic information extraction from high resolution satellite imagery based on object-oriented method

JIANG Tao*a, b, FANG Lei a

a Remote Sensing Department, Geomatics College, Shandong University of Science and Technology, Qing dao, Shan dong, China;

bKey Laboratory of Surveying and Mapping Technology on Island and Reed, State Bureau of Surveying and Mapping, China

ABSTRACT

High spatial resolution satellite imagery has been widely used in mapping, environmental monitoring, disaster management, city planning, because of its favorable visual effects, plentiful texture information, accurate positioning etc. Traditional classification methods which face to the medium/low-resolution satellite data have been proved not fit for the high resolution image processing. The object-oriented classification method can resistance the salt and pepper effect, because it is based on patches of spectrally similar pixels which have been produced by image segmentation. In this paper, a hierarchical framework that based on the stratified classification idea is proposed and applied to the land cover mapping of city. This stratified framework integrates the object-oriented multi-scale segmentation and quantification of image object features. The scale parameter of segmentation is the key factor during the framework building. In the study,

Scottsdale, Arizona state, USA, is selected as the study area because of its plentiful spatial features and beautiful sight.

The overall accuracy of the land cover classification is 82.58%, the Kappa Coefficient is 0.80 and the user’s accuracies of the most land-objects are exceeding 85%. The study is demonstrated using the object-oriented image analysis software, Definiens Developer 7.0, which can be integrated with other spatial data in vector-based geographical information system (GIS) environments.

Keywords: object-oriented classification, stratified classification, multi-scale segmentation, Remote Sensing

Research on Vegetation Index Database Based on GIS

Chunsen Zhang∗, Fuguang Du

College of Geomatics, Xi’an University of Science & Technology,

No.58 Yanta Middle Road, Xi’an, Shaanxi,China,710054

ABSTRACT

In fields of the remote sensing application, as the important information source to reflect the surface vegetation information, the vegetation index is not only helpful to enhance remote sensing interpretation, but takes as a remote sensing method, widely to apply in aspects of vegetation coverage monitor, land utilization change analysis, crops recognition and crops disaster forecast and so on. In addition, in aspect of vegetation growing mechanism, the vegetation index is also used to diagnose a series of vegetation biophysics parameter as well as use vegetation biophysics parameter to analysis vegetation growth process, and it is the physical foundation of the vegetation remote sensing. Because the vegetation spectrum is influenced by vegetation itself, the environmental condition, the atmospheric environment and many other kinds of factors, the vegetation index has the obvious regional and the temporal. In the paper, combining the Com-GIS technology, a conceptual design with the vegetation temporal and the spectrum information's application oriented is provided based upon MODIS data vegetation index spatial database of Shaanxi Province, as well as it has been carried into execution. With the powerful function of GIS to storage of graph (image), attribute and the temporal data, inquiry, analysis and management, The different temporal vegetation index data (normalization vegetation index NDVI, ratio vegetation index RVI, the differential value\environment vegetation index DVI \ EVI and so on) which produced by the whole year (2003) MODIS data of Shaanxi Province, corresponding MODIS image and spatial location (the map) data is been storage. The essential vegetation index application analysis method and the model have been conformed into the database to make the integration and unification of data, the method and model in the vegetation index based on GIS spatial database. And as while as to realize the function of data display, inquiry, analysis, management based on the temporal and spectrum information MODIS, ETM image data. The practice has proved that: using the temporal, the spectrum and the space position information which in the GIS spatial databases to the extraction of the remote sensing vegetation information to make it is possible for remote sensing images to analyzing the vegetation index information from another angle. It is know better about the vegetation index information. It provided the analysis basis for the vegetation classification, the crops growing trend monitor and surface vegetation change and so on.

Keywords: vegetation index, spatial database, MODIS, GIS


Rural address Geocoding Model for Improving the Rural Spatial Information Infrastructure

Yuchun Pan , Baisong Chen, Shuhua Li, YanBing Zhou, Zhou Lu

National Engineering Research Center for Information Technology in Agriculture, Beijing, China,100097;

ABSTRACT

The transition from sectorial to integrated rural and agricultural management has highlight the fact that data are highly institutionalized resources that are collected to satisfy the specific remit of the collecting department, often without reference to wider potential uses. This has led to a wide range of different data format, semantic, and precision for the same location, which are a significant barrier for constructing an integrated spatial data infrastructure to support integrated management and decision-making support. Considering the rural cadastral management system and postal zones, it designed the rural address geocoding model based on rural cadastral parcel, Put forward the geocoding standard consisted by the absolute position code, the relative position code and the extended code. It designed the rural geocoding database model, and the address information collection and update mode. Then based on the rural address geocoding model, it proposed the data model for rural agricultural resources management. Results showed that the postal code-based address coding ensured its stability and easy memory; two-dimensional coding based on the direction and distance facilitated location and memory; the extended code can enhance scalability and flexibility of the coding address.

Keywords: Rural region, Spatial information infrastructure, Address geocoding, Cadastral parcel


Space Camera Auto-Focusing Based on Radial Basis Function Network

Xingxing Wu, Jinguo Liu, Da Yu

National Engineering Research Center for Information Technology in Agriculture, Changchun, China, 130033

ABSTRACT

As circumstance temperature of space camera changes, flex of structural components and distortion of optical components lead to change of focal length and image quality. Radial Basis Function (RBF) network was used to approximate the complex nonlinear relation between focalization quantity, image quality, temperature level and axial temperature difference of space camera. After the Radial Basis Network was trained with thermo-optical experiment data, temperature level and axial temperature difference could be input to the network to get coder value of best image position. In this way focusing forecast under different temperatures can be realized. Results of focusing forecast experiment validate this method.

Classification of Wetland vegation based on spectral characteristics

Juan Long

National Engineering Research Center for Information Technology in Agriculture, Beijing hai dian qu xi san huan bei lu 105, Beijing, China, 100048

ABSTRACT

Remote sensing technology in three-dimensional visualization technology is indispensable for global forecasting, monitoring data to provide a reliable information, at the same time enriching the content of three-dimensional visualization, the study of high-resolution remote sensing image based on the use of features of the spectral information 、 shape、 structure, texture and other details of the characteristics. Extraction of object-oriented information technology methods, through the multi-scale image segmentation, the use of visual interpretation of the establishment of membership function, and through field sampling results, the establishment of membership function, so that a single pixel of the mixed type of features greatly reduces the extent. Therefore, the analysis of the traditional features of the spectral characteristics, the use of mathematical statistics by judge logo pixel is no longer appropriate statistical methods. The object-oriented methods, Segmentation as a result of the first to use the partition features into a single entity, for the pixel partition to partition, it can take full advantage of features of the spectrum, texture, geometry and location information on the classification of entities to improve the classification results, which can more Fast and accurate extraction of the type of interest,which can provide a reliable basis for decision-making.


A Method for Digital Identification of Mountain Altitudinal Belts from Multi-source Data

Ranhao Sun, Baiping Zhang, Liding Chen

National Engineering Research Center for Information Technology in Agriculture, No 18, Shuangqing Road, Haidian Distric, Beijing, China, 100085

ABSTRACT

Identification and analysis of altitudinal vegetation belts is one of the core issues in landscape ecology and mountain geography. However traditionally, only discrete data are available, and the classic archives and hand-drawn diagrams were used to express altitudinal belts and their vertical combination. As a result, the quantitative analysis of altitudinal belts and their spatial patterns is seriously restricted.

Digital spatial data has dramatically increased in quality and availability recently; however, there are limited opportunities to make use of these data sets in altitudinal belts identification because of the lack of available identification models, and as well-known, this is also one of the major obstacles for the multi-dimensional spatial data modeling and visualization. The objective of this paper is to develop an identification method for digitally extracting continuous information of the spatial distribution of altitudinal belts from multi-source data, mostly including digital elevation model data (DEM) and digital vegetation data. The single peak pattern and single flank pattern designed in the identification method are the basic landscape patterns in the mountain areas. The manuscript also describes the interface “Mountain Altitudinal Belts Digital Identification System” (MABsDIS) developed by Matlab and VB.NET languages for integrating the data of altitudinal belts. Finally, this method and software is used in the Daqing Mountains of central Inner Mongolia of China for an example application, and good results are drawn with meaningful figures, which show the spatial patterns of the altitudinal vegetation belts in all slope exposures.

Rather than argue for a single unified methodological approach that can identify altitudinal belts exactly than all others, such as extensive field survey with sufficient budget and time, the digital identification method could greatly facilitate the comparison and analysis of altitudinal belts, and could potentially be a solid basis for further analysis of altitudinal belts and their relationships with environmental factors.


Research on remote sensing image processing based on

discrete global grids

Shengmao Zhang ∗a, Sufang Zhou *a, Zhenhua Lv b, Hui Zhaoc

aKey and Open Laboratory of Remote Sensing and Information Technology Application in Fisheries, East China Sea Fisheries Research Institute Chinese Academy of Fishery Sciences, NO. 300, Jungong Road, YangPu District, Shanghai, China,200090;

bGeography Department, East China Normal University, Room 325, Lane 3663 North Zhongshan Road, Shanghai, China,200062

cSoftware Engineer Institute, East China Normal University, Lane 3663 North Zhongshan Road, Shanghai, China,200062

ABSTRACT

Traditional software provides comprehensive analysis of satellite and aircraft remote sensing data. The data for analysis is always projected onto the plane. There are a number of map projections, or methods for translating a sphere into a flat surface. No projection is perfect .They stretch, tear or compress the features of the Earth to some degree. Different projections distort different qualities of the map. The analysis of remote sensing data on flat surface affects the accuracy of the results. This paper develops a method for analysis of remote sensing data. The analysis is not based on flat surface but approach spherical surface. Octahedral quaternary triangular mesh (O-QTM) is developed by Dutton. It is one of the common discrete global grids. This paper finds a way for remote sensing image processing based on O-QTM. The remote sensing data can be converted to image of octahedral quaternary triangular mesh. Image overlay analysis and data fusion can be operated on the O-QTM.

Keywords: remote sensing image, discrete global grids, quaternary triangular mesh, map projection


Web Services and Grid Technology in Digital Forestry

ZhangWangFei∗

Resources Institute, Southwest Forestry University, Kunming, China 650224;

ABSTRACT

As an organic composition of Digital Earth, Digital Forestry is a dynamic concept and its technologies is developed and perfected accompanied with the development of information technology and management techniques. The information and data of the Digital Forestry is wide, rich content, huge and dispersed. It is an urgent problem how to integrate these data and make it useful for forestry decision-making and forestry management. Grid and Web services provide the key to solving these problems. The design objects and function of Web services in Digital Forestry platform which aimed at the character of forestry information construction was been expatiated in this paper. The structure of the Digital Forestry platform was put forward with service-oriented architecture and Grid technology. Virtualization of resources in Grid technology is reflected by the form of Web services and the state is an important concept in Grid computing. HTTP agreement is stateless and we often agree that Web services are stateless entities, but the state is very important for us, the problem how to realize the orderly Web services need to be solved in time. WFRS (Web Services Resource Framework) give us a way to solve this problem. WSRF is a series of norms to describe the "state" of the resources and the relationship between Web services. WS-Resource is thecore of WSRF. In this paper we studied the relation between Web services, state and WFRS. It is the WFRS.net technology which is used in this paper to design the Digital Forestry Web services platform. The development of Forestry service standards, the methods of services registered, the service call mechanism and the way of service publication were discussed in the WSRF-based Web Service. The Web service registering, publishing, inquiring and using were implemented on this platform. A new method of types of forestry information sharing and multi-management level and multi-operation field cooperative working was provided by our WSRF-based and Grid-supported platform in this paper.

Keywords: Web service, Digital Forestry, Grid, WFRS


Simulating winter wheat and summer maize production under future climate change scenarios in North China Plain

Yujie Liua,b,

a Institute of Geographic Sciences and Natural Resources Research,

Chinese Academy of Sciences, Beijing 100101, China

b Graduate University of Chinese Academy of Sciences, Beijing 100049,China
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