January 25, th APAN Meeting in Bangkok 1 Development of NOAA and Landsat Image Server using Web Map Service Mr. Sarawut Ninsawat and Dr. Kiyoshi Honda This project is a part of Education and Research Project for Sustainable Development in the Greater Mekong Sub Region supported by Japanese Government.

January 25, th APAN Meeting in Bangkok 2 Contents Background Purpose Introduction of Web Mapping Technology Data being provided System Configuration Conclusion

January 25, th APAN Meeting in Bangkok 3 Background GIS and remote sensing (RS) have been taking a leading role for sustainable development. Many researchers have done numerous developments in utilizing GIS and RS data to various applications The potential of Geoinformatics has not been fully realized in the sense that data accessibility, integrity and their integration with existing GIS databases.

January 25, th APAN Meeting in Bangkok 4 Internet has high potential to give opportunities for people to access data easily. Establishing a scheme to share and integrate geo-spatial information will contribute for the use of Geoinformatics in the society

January 25, th APAN Meeting in Bangkok 5 Purpose  To develop Satellite image Map Server in AIT.  To establish mosaic image of LANDSAT over GMS countries.  Improve an access speed over WMS connection  To organize experiment for linking multiple Web Map Servers.

January 25, th APAN Meeting in Bangkok 6 Interoperability for spatial data Standard interface of Interoperability for Spatial data via WWW. Tiff, GeoTiff, PNG, ERDAS, JPEG, CEOS, ER-MAPPER, ECW….. Can be served with on fly conversion

January 25, th APAN Meeting in Bangkok 7 OpenGIS Consortium (OGC) Specification Standard interface between Client and Server Possible to send the request as message format to multiple servers (to the distributed environment) and get the result both of text and graphic data. Possible to develop own system independently Introduction of web mapping technology

January 25, th APAN Meeting in Bangkok 8 Web Map Service (WMS) is an online access, integration and exploitation of geo spatial information and visualize application. Access to multiple servers simultaneously, which also one of the core procedure provide more data sharing, can be done as easy as the normal URL linkage of Internet reference. Introduction of web mapping technology - cont’d

January 25, th APAN Meeting in Bangkok 9 Data being provided NOAA/AVHRR NDVI image the 30-day composite NOAA/AVHRR NDVI shown as FCC 121. Landsat mosaic data Mosaic data of Thailand and GMS countries using Landsat 5 (raw Landsat scence were downloaded from Map data coastline, boundaries, road, river. (VMAPO data source)

January 25, th APAN Meeting in Bangkok day NOAA/AVHRR NDVI Jan 2001Apr 2001Oct 2001July 2001

January 25, th APAN Meeting in Bangkok 11 This dataset covers 5.4 million square kilometers. Eight scenes of data were unavailable from this system. The original projection data is UTM with datum WGS84. The data amount of the mosaic image from 105 Landsat scenes (composed of 4 bands) is around 40 GB. Landsat Mosaic

January 25, th APAN Meeting in Bangkok 12 When handling very large raster layers, it is convenient and higher performance to split the raster image into a number of smaller images. Each file is tile of the larger raster mosaic available for display. The list of files forming a layer can be stored in a shapefile with polygon representing the footprint of each file, and name of the files.(called Tileindex) Mapserver will first scan the tile index and ensure that only raster files overlapping the current display request will be opened. Tile index Algorithm

January 25, th APAN Meeting in Bangkok 13 CodeName 1506Thailand/1506.tif 1606Thailand/1606.tif

January 25, th APAN Meeting in Bangkok 14 However only with tile indexing, the speed is still quite slow when users zoom to all entire area. The full resolution dataset at 28.5 meters was re-sampled into three different pixel sizes (57, 228 and 1824 meters), which have lower resolution to increase the speed to serve images at various resolution requested. Scale control was integrated to select a suitable pixel size dataset in at each map scale. All the feature are shown as same as full resolution pixel size but it requires very less data processing compared to full resolution pixel size data set. Multi-resolution selection based on map scale Algorithm

January 25, th APAN Meeting in Bangkok 15 Two Improvement algorithms for Satellite image server Two Improvement algorithms for Satellite image server

January 25, th APAN Meeting in Bangkok 16 System overview (Agriculture client example) Remote Sensing image server NDVI 30 days data Landsat mosaic data For getting a request from the IT Forum client and sending to the client an image which is processed according to the request Agriculture data client For sending the requests to multiple server and getting the image from multiple servers and combine multiple images

January 25, th APAN Meeting in Bangkok 17 Machine environment Server nameOSSoftware Remote sensing image server Linux RH 8.0Apache( WWW server), PHP (Script language), Minnesota Mapserver 4.1 supported WMS Agriculture Forum Client Windows 2000 Apache( WWW server), Minnesota Mapserver 4.1 supported WMS 1.1.0, PostgreSQL (DB), PHP

January 25, th APAN Meeting in Bangkok 18 System Configuration

January 25, th APAN Meeting in Bangkok 19 NOAA NDVI 30 days image server example

January 25, th APAN Meeting in Bangkok 20 Landsat image server example

January 25, th APAN Meeting in Bangkok 21 Promoting on how to use WMS connection

January 25, th APAN Meeting in Bangkok 22 Benefits The GIS data overlaid on satellite image, which act as background image, will leads more efficient visualization of information. One server can obtain GIS data or Image data from other servers simultaneously to serve to users. Users may not realize that they are accessing to multiple servers.

January 25, th APAN Meeting in Bangkok 23 Comparison of image quality Landsat 5 Original imageGenerated image from Mapserver

January 25, th APAN Meeting in Bangkok 24 Comparison of image quality Original image from Landsat 5 image actual size is 266x209 Png 24 bit image generated from mapserver at 400x300 size

January 25, th APAN Meeting in Bangkok 25 Mobile GIS Application User need RS images at fields Better understanding of the site Fast and good decision making Limitation of PocketPC Small System Storage (64MB – 1GB) Impossible to store huge satellite image Access to the Image server from fields Wireless internet connection

January 25, th APAN Meeting in Bangkok 26 1) Send a position data and request image map 7) Send back image map Pocket PC GPS device Internet Spatial DB (Current position) Password authorization PHP Minesota Mapserver PostGIS/ PostgreSQL Png,jpeg Remote Sensing Image Server WMS connection RS Image Bluetooth Connection 2) Update position 3) Request image map from mapserver 4) Request RS image and point layer according to latest position 6) Combine RS image and Point Data -> Image Map 5) Send image map according to requested Mobile System configuration http

January 25, th APAN Meeting in Bangkok 27 Mobile Application Accessing to the WMS from Field using Mobile Device PDA MobilePhone GPS Bluetooth

January 25, th APAN Meeting in Bangkok 28 Display Image Map

January 25, th APAN Meeting in Bangkok 29 Coordinate Update Method

January 25, th APAN Meeting in Bangkok 30 Spec of Image sent to Pocket PC Image Size200x300 (display size of Pocket PC: 240 x 320) Color Depth24bits For better color gradation Image FormatPNG Image File SizeApprox 20KB

January 25, th APAN Meeting in Bangkok 31 Display Time of Image Map Image File PNG 24 bit Image size 200 x 300 File size is approx 20 KB Display Time of Image Map Thailand ’ s GPRS speed (40.3 kbps)around 4 second Actual GPRS through putaround 12 – 13 second EDGE Technology; 200 kbps ( 4 times faster )

January 25, th APAN Meeting in Bangkok 32 Server side image map

January 25, th APAN Meeting in Bangkok 33 GISTDA&RTAF More Collaboration, More contribution

January 25, th APAN Meeting in Bangkok 34 More Collaboration, More contribution

January 25, th APAN Meeting in Bangkok 35 Conclusions By implementing two algorithms ( tiling and multi- resolution ), the speed of response time was drastically improved. Multi-server system was tested and shown its efficiency to serve images to users as background images. The potential of OpenGIS and WebGIS like this prototype will promoting more linkage and cooperation. The broker to organize a new growing up of WMS server is required. Extend the utilization of RS image Not limited to Desktop PC

January 25, th APAN Meeting in Bangkok 36 Thank you..