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Nematolahi, M.J., Alavipanah, S.K., Zehtabian, Gh.R., Jafari, M., Janfaza, E., Matinfar, H.R.. (1391). Assessment of ASTER Data for Soils Investigation Using Field Data and GIS in Damghan Playa. , 17(3), 241-248. doi: 10.22059/jdesert.2013.35188
M.J. Nematolahi; S.K. Alavipanah; Gh.R. Zehtabian; M. Jafari; E. Janfaza; H.R. Matinfar. "Assessment of ASTER Data for Soils Investigation Using Field Data and GIS in Damghan Playa". , 17, 3, 1391, 241-248. doi: 10.22059/jdesert.2013.35188
Nematolahi, M.J., Alavipanah, S.K., Zehtabian, Gh.R., Jafari, M., Janfaza, E., Matinfar, H.R.. (1391). 'Assessment of ASTER Data for Soils Investigation Using Field Data and GIS in Damghan Playa', , 17(3), pp. 241-248. doi: 10.22059/jdesert.2013.35188
Nematolahi, M.J., Alavipanah, S.K., Zehtabian, Gh.R., Jafari, M., Janfaza, E., Matinfar, H.R.. Assessment of ASTER Data for Soils Investigation Using Field Data and GIS in Damghan Playa. , 1391; 17(3): 241-248. doi: 10.22059/jdesert.2013.35188

Assessment of ASTER Data for Soils Investigation Using Field Data and GIS in Damghan Playa

Desert
مقاله 5، دوره 17، شماره 3، اسفند 2012، صفحه 241-248    اصل مقاله (163.15 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jdesert.2013.35188
نویسندگان
M.J. Nematolahi1؛ S.K. Alavipanah2؛ Gh.R. Zehtabian3؛ M. Jafari3؛ E. Janfaza1؛ H.R. Matinfar4
1MSc Graduate, University of Tehran, Karaj, Iran
2Professor, University of Tehran, Tehran, Iran
3Professor, University of Tehran, Karaj, Iran
4Assistant Professor, University of Lorestan, Khoram abad, Iran
چکیده
In order to assess the satellite data for soil investigation, ASTER digital data 20 June 2006, field study and phisiochemical properties of soil, were analyzed. All landcover classes including soils are classified based on
morphological and physico-chemical characteristics. Images were geocorrected and photomorphic units were selected based upon visual interpretation and sampling in study area. The images was classified using maximum likelihood algorithm; with eight approaches. The classified image was compared with the ground truth map. The lowest classification accuracy was achieved by optimum index factor (OIF) approaches and hence application of OIF for discrimination of soils was not effective way. The results showed that best index is not only efficient and other information such as DEM (digital elevation model) with the spectral combination increase the accuracy of classification and Kappa coefficient. Salinity Indexes (SI) and Normalized Soil Index (NDSI) and Brightness Index (BI) were useful for discrimination of the soils in the study area. Typic Haplocambids showed the maximum reflection due to bright color. In addition, the minimum value was related to the Typic Torriorthents class, because of dark gravels. The result showed ASTER data can differentiate Typic Haplocambids from Typic Torriorthents, Typic Haplosalids and Typic Haplogypsids in arid lands.
کلیدواژه‌ها
ASTER؛ soil؛ Maximum likelihood؛ Arid lands؛ Damghan؛ Iran
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