Sachasiri R.,Geo Informatics and Space Technology Development Agency
31st Asian Conference on Remote Sensing 2010, ACRS 2010 | Year: 2010
Thailand's activities and interest on space and space-related technologies have been increasing rapidly over the past decades. This has led to the birth of THEOS, the very first remote sensing satellite of Thailand. THEOS products assist in the development of natural resources, environmental monitoring and many others remote sensing applications. The main objective is to provide earth observation based total solution, which is applicable not only for Thailand but also for other countries. Two years of operation after its launch in 2008, GISTDA is moving forward to maximize the utilization of resources available. GISTDA aims to extend the services already available by adding further functionality such as ortho-rectification, mosaic and elevation editing to fulfill the needs of cartography applications. This has created value added service such as the use of THEOS' image data for the Rice Pricing Guarantee, one recent project in which THEOS' images has contributed greatly. THEOS products and services have also assisted Thai's Government in Agricultural Assessment and Management. In this age of high-speed information, it is obvious that web-based applications are essential. Ongoing projects aims to make all THEOS' imagery available online whereby users may browse conveniently through the online catalog, initiate and complete the process of images ordering. This can be achieved through the THEOS' online services, which will add ease of use to end-users and image distributors. In addition to existing domestic channels of distribution, GISTDA is on its way to enter the worldwide market. With the ortho-products soon to be available, GISTDA aims to be one of the key providers in the Satellite Imagery industry. This is further enhanced by the establishment of two additional Image Ground Stations for THEOS outside Thailand and the contract with polar station for additional satellite commanding. Furthermore, all three GISTDA's offices will soon be connected to the UniNet, a Government portal cum gateway that provides hi-speed information network linked to universities, institutes, and campuses with more than 200 sites across Thailand as well as overseas countries. Consequently, linking GISTDA to Thailand's educational network and the international research network, which will allow students and researchers from all over the world to be able to access to GISTDA's database and resources. Uninet will also provide a high-speed communication channel for GISTDA, which enhance the competency of the service to the greater level.
Auynirundronkool K.,Wuhan University |
Chen N.,Wuhan University |
Peng C.,Wuhan University |
Yang C.,Wuhan University |
And 2 more authors.
International Journal of Applied Earth Observation and Geoinformation | Year: 2012
Flooding in general is insignificant event worldwide and also in Thailand. The Central plain, the Northern plain and the northeast of Thailand are frequently flooded areas, caused by yearly monsoons. The Thai government has extra expenditure to provide disaster relief and for the restoration of flood affected structures, persons, livestock, etc. Current flood detection in real time or near real time has become a challenge in the flood emergency response. In this paper, an automatic instant time flood detection approach consisting of a data retrieval service, flood sensor observation service (SOS), flood detection web processing service (WPS) under a sensor web environment, is presented to generate dynamically real-time flood maps. A scenario of a RADARSAT and MODIS sensor web data service for flood detection cover of the Thailand Central plain is used to test the feasibility of the proposed framework. MODIS data are used to overview the wide area, while RADARSAT data are used to classify the flood area. The proposed framework using the transactional web coverage service (WCS-T) for instant flood detection processes dynamic real-time remote sensing observations and generates instant flood maps. The results show that the proposed approach is feasible for automatic instant flood detection. © 2011 Elsevier B.V.
Pimnoo A.,Geo Informatics and Space Technology Development Agency
World Academy of Science, Engineering and Technology | Year: 2011
In recent years number of space objects, which are increasing continuously not only fulfil in the space of the earth atmosphere orbitally as space pollution but also have been rising probability of satellite collision between a space debris and an own satellite or a satellite and another satellite whatever are becoming more likely. Either satellite orbit determination or satellite tracking software is facility of orbit determination and accuracy satellite ephemeris prediction. So, it hardly misses a satellite visibility appointment. Nevertheless, the satellite collision avoidance is a critical event after foreseen computation occurring high probability of satellite collision. Inevitably, the collision avoidance activity has to actively manage a necessary strategy to safely avoid the risk of collision. Unfortunately, in the real action of flight dynamics engineering operators, FDS engineers can scarcely be able to know or predict either what the type of space object is coming closely or where the direction is from. THEOS is the first earth observation satellite of Thailand which is worthy of growing space technology and space education learning for Thais. So, the prevention of damaged spacecraft is necessary. The United Sates Joint Space Operations Center (JSpOC) and the Center for Space Standards & Innovation (CSSI), which are the space surveillance organization, have usually sent receipt of collision awareness, in the detail of Time of Closest Approach (TCA), to other countries. This paper is to develop a satellite collision avoidance strategy for THEOS spacecraft which is to perform procedures of satellite collision avoidance including Orbit Control Manoeuvre (OCM) plan taking into account of propellant fuel depletion. The strategy consists of 4 steps after the collision awareness monitoring. Absolutely, the first step is to deeply analyze the collision awareness notification warned by JSpOC and CSSI. This step is to analyze and determine the probability of satellite collision from the JSpOC or CSSI receipt. The second step is to perform the risk of collision avoidance manoeuvre strategy from conditional method by collaborative with expert engineers from ASTRIUM. After the second step, OCM plan will be sent to simulate the result using Satellite Simulator, meanwhile the THEOS ephemeris will be sent to JSpOC or CSSI for accuracy checking the result of collision avoidance manoeuvre. Then, the OCM plan will be sent to spacecraft on time. Finally, the status will be normally checked for efficiency calibration and will be updated new configuration. Then, FDS engineers will specially check the result of collision avoidance with own receipt by THEOS ephemeris propagated. However, these steps will be finalized by using the strong constrains and have been consistently solved with the propellant fuel depletion for saving the life-time of THEOS.
Kiadtikornthaweeyot W.,Geo Informatics and Space Technology Development Agency |
Tatnall A.R.L.,University of Southampton
ACRS 2015 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings | Year: 2015
A real scene observed from a satellite image contains a variety of features, textures and shadows and it can therefore be very complex to detect the region of interest (ROI). The ROI of a satellite image depends on the application field for Earth observation. Therefore image segmentation has been developed for extracting different features or textures inside an image. This can be performed a number of different ways using the image properties. Extraction of a feature of an image is very difficult to find the appropriate image segmentation techniques and combine different methods to detect the ROI most effectively. This paper proposes techniques to classify objects in the satellite image by using image processing methods on high-resolution satellite images. The systems to identify the ROI are performed automatically and focus on the ROI of coastlines, forests, urban areas and agriculture. Three different methods to detect the ROI of the satellite images have been studied, implemented and tested; these are based on edge, histogram and texture segmentation. The edge method is based on edge detection and morphology. The histogram method is based on thresholding and morphology. The texture method is based on GLCM texture feature statistics and morphology. All three of the image segmentation methods can detect the ROI and reduce the size of the original image by discarding the unnecessary parts. A comparison of each technique has been performed. In this paper the combination of the proposed ROI automatic detection and image compression technique have been performed to find the percentage size reduction of the original image. Moreover the possibility to implement these techniques in cubesat onboard computer has been described. In addition the morphology structure element is used in these proposed techniques. A study on the appropriate shape and size of structure element is required and has been discussed in this paper.
Tulsuk P.,Kasetsart University |
Srestasathiern P.,Geo Informatics and Space Technology Development Agency |
Ruchanurucks M.,Kasetsart University |
Phatrapornnant T.,National Science and Technology Development Agency |
Nagahashi H.,Tokyo Institute of Technology
IEEE Intelligent Vehicles Symposium, Proceedings | Year: 2014
This paper presents a novel method for extrinsic parameters estimation of a single line scan LiDAR and a camera. Using a checkerboard, the calibration setup is simple and practical. Particularly, the proposed calibration method is based on resolving geometry of the checkerboard that visible to the camera and the LiDAR. The calibration setup geometry is described by planes, lines and points. Our novelty is a new hypothesis of the geometry which is the orthogonal distances between LiDAR points and the line from the intersection between the checkerboard and LiDAR scan plane. To evaluate the performance of the proposed method, we compared our proposed method with the state of the art method i.e. Zhang and Pless . The experimental results showed that the proposed method yielded better results. © 2014 IEEE.