Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
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Fr1-T104-Ramdani-LECTURING ON SATELLITE IMAGERY PROCESSING AND GIS.pptx
1. LECTURING ON SATELLITE IMAGERY PROCESSING AND GIS BASED ON INTERNET AND OPEN SOURCE SOFTWARE Fatwa Ramdani**Geo-environment, Institute of Geography, Earth Science Department, Graduate School of Science, Tohoku University, JAPAN
2. Background Objective and motivation Trial of instruction Result Another case studies Conclusions Overview
3. Background Map window INTERNET CONNECTION ILWIS dot-COM bust Google earth Web-gis Usersof remote sensing and GIS recently have spread from professional users to non-professional users.
13. etc.Dynamic of land system Environmental Sustainability Driving forces Changes in environment RS
14. ILWIS ILWIS is a user friendly open source Geographic Information System. ILWIS is acronym from Integrated Land and Water Information System. The system was developed and distributed by ITC Enschede (International Institute for Geo-Information Science and Earth Observation) in the Netherlands for use by its researchers and students. Since 1 July 2007 it has been distributed and became free software. ILWIS supports numerous vector, raster, and database formats and functionalities, we can visualize, manage, edit, analyze data, and compose printable maps, integrated raster and vector approach. Therefore, it is evaluated as a convenient and suitable system for natural resources management.
15. Map Window GIS MapWindow , a GIS software, is free to use and redistribute to clients and other end users. Unlike other free tools, MapWindow is more than just a data viewer, it is an extensible geographic information system. This means that we can write plug-in, add additional functionality (models, special viewers, hot-link handlers, data editors, etc.) and pass these along to clients and end users. MapWindow includes standard GIS data visualization features as well as input database attribute table editing, shapefile editing, and grid importing and conversion.
16. Google Earth we can use freely Google Earth which is the easiest and accessible geographic information on the internet. We can access to it from computer, mobile phone, tablet or browsing the web. Most of user, using Google Earth as navigator to find their way, after all they can drawing, measuring, and geo-tagging photos as they want to. Google Earth
17. The objectives of this paper is to optimize open source software like ILWIS and MapWindow GIS in education and to introduce a case study of teaching on remote sensing (imagery processing) and GIS based on internet connection. Introduce students with open source software beside the commercial software To prevent students from piracy activity which is criminal action in Indonesia Objectives and Motivation
20. Subject matter is subject that was delivered in this class. It was about development of access transportation and expansion of urban land uses. Illustration and description is about how students feel satisfied with description and illustration given.
21. Feedback is how many students asking after following the class.
22. Planning the lesson and material is how students feel satisfied with lecturer. Was the lecturer planning well and ready to deliver the material in good explanation. And repeating the lesson from quiz is how many students can answer the question in correctly.
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24. Another case study (1a) Decision Tree Classification using NDVI value as threshold
25. Another case study (2) Sixteen years time interval monitoring of large seasonal-tropical lake with low accessibility September, 2004; rainy season July, 2010; wet season June, 1990; wet season Satellite imagery: Landsat TM and ETM+ Location: Sentarum Lake, West Kalimantan, Indonesia
26. Another case study (2a) Monitoring remarkable expansion of oil palm plantation Year 2011, 9,919 ha and now located less than100 m from National Park (green color) Year 2009; 2,274 ha and located only 420 m from National Park (green color)
27. Another case study (3) Urban development monitoring in eastern Indonesia; Satellite imagery: Landsat TM and ETM+, Location: Wandama Gulf, West Papua, Indonesia 9/24/2003 4/2/1989 8/26/2010
28. Another case study (3a) Urban development monitoring in western Indonesia; Satellite imagery: Landsat ETM+, Location: Palembang, South Sumatera, Indonesia 2001 2010
29. Another case study (5) Land use land cover classification for urban planning and development Satellite imagery: SPOT5 Acquisition date: August 5, 2006 Location: Indragiri Hulu Regency, Riau, Indonesia
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31. The benefit using open source software are low-cost even free of charge, easily to convert and doing geospatial analysis (union, clip, dissolve, etc), export to .JPG format file and/or PDF, and very friendly user interface, make it easier to use even for a new comer in RS/GIS.
32. Extensive application in order to environmental monitoring in developing country like Indonesia; many island and remote area with low accessability
33. The difficulties of ILWIS and MapWindow GIS are in cartographic rules and design and unstable software in computer with minimum specification. We suggest minimum 2GB of RAM and good processor with high performance graphic card.
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Editor's Notes
Sehabis slide inibarubilang:Therefore we introduce our students with open source software and gis based on internet
1. We have to make sure that we have a good internet connection and available space in harddisk2. Then prepare spatial data set. In this case it was Landsat ETM+ satellite imagery. We could freely download it from http://glovis.usgs.gov1. After that, we decided the area of interest of our study and stored it to our work folder.,3. Launched our ILWIS 3.6 (after we downloaded from http://52north.org2, and installed it to our computer), and then imported the data to ILWIS format and made RGB (Red-Green-Blue) combination of natural color. At this point, we were ready to distinguish land use land cover from the Landsat ETM+ satellite imagery. In this case we planned to investigate an expansion of urban areas in time series period, so we had to download minimum three different acquisition time of Landsat ETM+ satellite imagery.,4. in order to update the road network, we opened Google Earth (http://www.google.com/3) and zoomed to our area of interest. Using add-path tools at Google Earth (GE) toolbar, we gave its name and started to digitize. In doing so, we made our road network layer in the left side of GE. Next, we did right-click in this layer and chosen a copy of it.,5. Launched kml2shapefile from http://www.zonums.com/online/kml2shp.php4, and then did right-click or simple just ctrl+v in the work window, and exported our data and stored in our work folder,6. Open MapWindow (after we downloaded from http://www.mapwindow.org/5 and installed it to our computer). Then, we started to load our time series satellite imagery and our road network. After that, we made a layout map with cartography design and presented it in pdf (we could download CutePDFWriter from http://www.filehippo.com/6)file or printed out our map and presented it as hardcopy map.
742 Combination and 2% linear enhancement
742 Combination, om screen digitation using MapWindow GIS
432 combinations
742 Combinations and iso data unsupervised classification method