Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 221-226, 2016
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B4/221/2016/
doi:10.5194/isprs-archives-XLI-B4-221-2016
 
13 Jun 2016
A MAP MASH-UP APPLICATION: INVESTIGATION THE TEMPORAL EFFECTS OF CLIMATE CHANGE ON SALT LAKE BASIN
O. S. Kirtiloglu1, O. Orhan1, and S. Ekercin2 1Dept. of Geomatic Engineering, Selcuk University, Konya, Turkey
2Dept. of Geomatic Engineering, Aksaray University, Aksaray, Turkey
Keywords: Konya Closed Basin, Standardized Precipitation Index, Google API, NDVI, Mash-Up Abstract. The main purpose of this paper is to investigate climate change effects that have been occurred at the beginning of the twenty-first century at the Konya Closed Basin (KCB) located in the semi-arid central Anatolian region of Turkey and particularly in Salt Lake region where many major wetlands located in and situated in KCB and to share the analysis results online in a Web Geographical Information System (GIS) environment. 71 Landsat 5-TM, 7-ETM+ and 8-OLI images and meteorological data obtained from 10 meteorological stations have been used at the scope of this work. 56 of Landsat images have been used for extraction of Salt Lake surface area through multi-temporal Landsat imagery collected from 2000 to 2014 in Salt lake basin. 15 of Landsat images have been used to make thematic maps of Normalised Difference Vegetation Index (NDVI) in KCB, and 10 meteorological stations data has been used to generate the Standardized Precipitation Index (SPI), which was used in drought studies. For the purpose of visualizing and sharing the results, a Web GIS-like environment has been established by using Google Maps and its useful data storage and manipulating product Fusion Tables which are all Google’s free of charge Web service elements. The infrastructure of web application includes HTML5, CSS3, JavaScript, Google Maps API V3 and Google Fusion Tables API technologies. These technologies make it possible to make effective “Map Mash-Ups” involving an embedded Google Map in a Web page, storing the spatial or tabular data in Fusion Tables and add this data as a map layer on embedded map. The analysing process and map mash-up application have been discussed in detail as the main sections of this paper.
Conference paper (PDF, 1430 KB)


Citation: Kirtiloglu, O. S., Orhan, O., and Ekercin, S.: A MAP MASH-UP APPLICATION: INVESTIGATION THE TEMPORAL EFFECTS OF CLIMATE CHANGE ON SALT LAKE BASIN, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 221-226, doi:10.5194/isprs-archives-XLI-B4-221-2016, 2016.

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