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Kinematic GPS Remote Sensing Information Positioning for the Ground
90年代动态 GPS 遥感信息对地定位系统

Li Shukai Qian Yuhua Xu Chang Shong Huakai,

遥感学报 , 1991,
Abstract: With expert system, intelligent computer system, data acquisition system of a new generation, GIS analysis and policy function, multipurpose input and output system, and development of GPS kinematic remote sensing information positioning for the ground system, Remote sensing application and technique of a new generation will be formed gradually, Kinematic GPS remote sensing information positioning for the ground system is important techniacl support.Kinematic GPS remote sensing information positioning for the ground system is GPS rech-nical application on remote sensing. In this paper, we introduce GPS general situation and application tendency from GPS structure, development tendency, specialities and application, analyse questions, exitel in remote sensing information positiong for the grounl, forecast GPS application prospect on remote sensing, enormous sciences significance, beneficial results in future, raise imagine of developing the system, experimental research general frame map.
A Review: The application of Remote Sensing, GIS and GPS in Precision Agriculture  [PDF]
Goswami S.B.,Matin S.,Aruna Saxena,G.D. Bairagi
International Journal of Advanced Technology & Engineering Research , 2012,
Abstract: Every year copious technologies have been applied by many researchers, agronomies, scientist and engineers to increase agricultural production with low cast, but it has adverse impact on environment. Precision agriculture deals with the study of the application of technology to improve agricultural practices as compare to conventional agricultural method and lower adverse impact on environment. Remote sensing technology plays an important role in precision agriculture and its application in the precision agriculture introduces new opportunities for improving agricultural practices. With the help of global positioning system (GPS), it is possible to record field data (slope, aspect, nutrients, and yield) as geographically Latitude and longitude data. It has capability to determine and record the correct position continuously, so therefore, it can create a larger database for the user. For the further analysis geographic information system (GIS) is required, which can store and handling these data. This review highlights about remote sensing technology, GIS, GPS and give you an idea about, how it can be valuable in precision agriculture.
Studies on the methods of mangrove inventory based on RS,GPS and GIS

LI Chun-gan,TAN Bi-zeng,

自然资源学报 , 2003,
Abstract: In this paper,the method of mangrove inventory combined"3S"with ground invento-ry was studied.Through adopting a series of technological methods including image processing,visual interpretation and mangrove mapping,in-situ checking and correcting the boundary line of the sub-compartment of the map,woods condition factor inventory and GIS space analysis,a number of technological problems have been solved effectively and a kind of scientific method for mangrove inventory has been advanced.These technological problems include that the low area precision and inadequate accuracy of the spatial position localization of the general method,low classification precision of remote sensing,and the low efficiency and the great labor intensity of the method of GPS.
Mobile Geographic Information System Platform (MGISP): A GPS Information Collection System
Abdelilah Azyat,Naoufal Raissouni,Nizar Ben Achhab,Mohamad Lahraoua
International Journal of Information and Network Security (IJINS) , 2012, DOI: 10.11591/ijins.v1i2.534
Abstract: All Goegraphic Information Sysyem (GIS) data acquisition devices can get plenty useful attributes information. The information will be edited and geo-referenced, then stored in the Spatial Database. Geo-reference process is very necessary because these data will be integrated with other information from multi-sources. Field data collection is always a difficulty for cartographers, surveyors and researchers. The tools available for mapping applications have been bulky in size and weight, expensive, and difficult to learn for a long time. Fortunately, the advances of remote sensing, Global Positioning System (GPS) technology, GIS and some data edit and analysis software drive the field data collection. The advance refers not only precision has been improved, but also the hardware has become smaller, lighter, and cheaper. The software has become easier to learn, and more inexpensive; so the data collection task becomes easier, more economical and faster to complete. MGISP is based on GPS data with other services of map rendering used in the field for GIS projects. The Trimble Juno SC GPS receiver has been used on purpose to collecting GPS information and testing.
SWM of Kolar Municipality Using Remote Sensing and GIS Techniques  [PDF]
Yogeshwar singh,Dr. M.S. Chauhan,Dr. S.K. katiyar
International Journal of Advanced Technology & Engineering Research , 2012,
Abstract: Urban solid waste management needs careful considerations. This problem has become as one of the most serious environmental problems in municipal authorities in developing countries like India. This research paper marks out the selection of best alternative site for municipal solid waste land filling, using inputs from Remote Sensing & Global positioning system (GPS) and analysis using GIS tools. Various parameters involved in the selection of SW (solid waste) disposal site like geology, land use, water table, economy and government rules have been stored in the form of GIS data base. Overlay & buffer analysis have been performed in Arc GIS 9.1. The most common problems associated with improper management of solid waste includes transmission of diseases, fire hazards, odor nuisance, atmospheric and water pollution, aesthetic nuisance and economic losses.
A study on winter wheat yield-estimation in Southwest China by Remote Sensing,GIS and GPS: based on four counties of the Anning River Basin

JIANG Xiao-bo,LI Ai-nong,ZHOU Wan-cun,

地理研究 , 2002,
Abstract: 农作物遥感估产已经是广泛应用的技术,但由于西南地区复杂的地貌类型以及遥感信息源等因素的限制,农作物估产方面的研究起步较晚,因而研究山区的农作物遥感估产对西南地区有重要的理论价值和现实意义。安宁河谷为一南北走向的山间盆地,是四川省第二大粮食生产基地。本运用遥感(Remote Sensing)、地理信息系统(GIS)和全球定位系统(GPS)-简称3S,采取全数字式判读方式提取冬小麦的播种面积,进行野外点、线采样,并利用数理统计方法,建立了该地区的冬小麦估产模型。
International Journal of Engineering Science and Technology , 2010,
Abstract: Industrialisation plays vital role in the overall development and progress of any region. Along with the development, on the same time, it has the adverse impact on environment such as air pollution, water pollution and many others.Wardha basin of Chandrapur district (M.S) has abounded with ample high quality coal minerals. This region has witnessed a lot of changes in land use/land cover (LULC) due to exploration of coal minerals and subsequently the adverse impact on environment. This research explains the use of remote sensing (RS), Global positioning system (GPS), and GIS technology for the detection of LULC changes. In this work LULC changes have been detected using remotely sensed images during the period from 1990 to 2010, using Landsat-TM image of year 1990 and Cartosat-I image of year 2010. The above images were rectified and georeferenced using GPS data collected by point positioning mode observations.Ground truthing for the LULC classification accuracy assessment has been done using GPSinstrument. Image analysis operations have been carried out using Erdas Imagine software. Various effects of coal mining activities on the Land use have been highlighted.
Assessing Usefulness of High-Resolution Satellite Imagery (HRSI) in GIS-Based Cadastral Land Information System  [PDF]
Journal of Settlements and Spatial Planning , 2012,
Abstract: The development of a GIS-based cadastre primarily depends on the availability of reliable spatial and non-spatial datasets. Currently, the cadastral maps in Pakistan are mainly of paper format. Detailed study shows lack of standards in these paper mapping products with out-dated information. Therefore, these maps cannot be used directly as an input to a GIS-based cadastral Land Information System (LIS). Such a situation demands that all cadastral information in these traditional maps be timely maintained in standard forms with quality indicators as information for the users. Considering the present situation in Pakistan, this paper firstly elaborates the present cadastral mapping system and the methods used for producing, updating, and maintaining these cadastral data. This research paper investigates on the use of High-Resolution Satellite Imagery (HRSI) and Global Positional System (GPS) that constitute vital elements in timely maintaining many of the cadastral data in GIS-based cadastral LIS. The abilities of remote sensing imageries in cadastral mapping are then assessed using QuickBird high-resolution satellite images for two case study areas with different topography i.e. a flat and a mountainous area in the Khyber Pakhtunkhwa province of Pakistan. This study introduces the use of QuickBird panchromatic/colour imageries and the Garmin eTrex GPS navigation receiver to develop a method for cadastral surveying through on-screen digitisation techniques in the field on the soft copy of HRSI. This study shows that the cost and time can be reduced to its half if the cadastral maps are generated using the newly developed technique. Finally, the results are concluded for the use of HRSI data as an input to GIS-based cadastral information system in general and especially in Pakistan.
Application of RS & GIS in Risk area assessment for mosquito borne diseases- A case study in a part of Gwalior City (M.P.)  [PDF]
Shyam Avtar Agarwal,Shailendra Singh Sikarwar,D.Sukumaran
International Journal of Advanced Technology & Engineering Research , 2012,
Abstract: With the increase of mosquito borne diseases in the recent past , there is an ever increasing demand on source available for the control program, so wise and prudent management of the resource is becoming increasingly important. Application of Remote Sensing & GIS may help the decision makers to take decision about control program for mosquito borne diseases like malaria, dengue, and elephantiasis at right place and in right direction. It became easier by identifying risk area identification. It also provides the architecture and analysis tool to perform spatio-temporal modeling of climate, environment, disease transmission, and other factors relevant to understanding the impacts and risks associated with vector borne disease (VBD). Main aim of the study is to identify risk area in study area. The study area selected is a small part of Gwalior city (M.P.) and lies between 26°13′N 78°11′E to 26.22°N 78.18°E coordinates. It has an average elevation of 197 meters (646 feet). In this study different sites are recognized as mosquito breeding sites and the location of the sites were taken by using GPS instrument. The Built up area is extracted from satellite image using classification techniques after that by using GIS analysis the risk area affected by those mosquito breeding sites is identified.
A Study on the Accurate Classification Approaches for Remote Sensing Image Based on GIS

DU Hong-yan,ZHANG Hong-yan,ZHANG Zheng-xiang,

遥感技术与应用 , 2004,
Abstract: How to get high accuracy of classification by remote sensing image processing technology is oneof the difficulties in applications of wetland data. The paper discusses the methods to enhance the accuracyof classification for the wetland of Zhalong. First we can noise reductions enhance and tasseled cap enhanceto improve its accuracy. Then compare the classification results of original image with those of the othertwo enhance methods. The results are very similar, i.e., 83.91% of original image, 78.88% of noisereduction and 90.13% of tasseled cap respectively, checked by GPS sample points gained from fields, landcover data of 2000 and Kappa accuracy assessment. Each method has its own advantage in differentiatingthe classes, especially the accuracy in the wetland boundary after noise reduction enhance and the accuracyin the sub classes of wetland after tasseled cap enhance. But none of them is very satisfied. So based onknowledge and the technique of GIS, we can put the advantages of each methods together to gain anexcellent result. The new method is the kernel of this paper, using spatial algebra, which combines thetechnique of RS and GIS together, and it can greatly improve the accuracy and reflect the actual land typesbetter in classification of wetland. Its accuracy can get to 96% after checked by GPS sample points,landcover data of 2000 and visual interpretation. Then we can draw a conclusion that as far as wetlandclassification is concerted, the image enhance before classification can improve its accuracy in some parts,but using spatial algebra based on GIS technology can put the advantage together and get the best result.
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