ASSESSMENT OF LISS_III SENSOR DATA IN ORDER TO INVESTIGATE SOILS USING FIELD DATA AND GIS IN ARAN_BIDGOL AREA

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MATINFAR H.R.; SARMADIAN F.; ALAVIPANAH S.K.

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Journal: Watershed Management Research Year:2009 | Volume:21 | Issue:1 (82) Page(s): 46-58

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Title

ASSESSMENT OF LISS_III SENSOR DATA IN ORDER TO INVESTIGATE SOILS USING FIELD DATA AND GIS IN ARAN_BIDGOL AREA

Author(s)

MATINFAR H.R. | SARMADIAN F. | ALAVIPANAH S.K. | Issue Writer Certificate

Keywords

LISS_IIIQ3

SOIL SURVEYQ3

ARID REGIONQ2

DIGITAL PROCESSINGQ3

SUPERVISEDQ2

Abstract

In order to assess the satellite data in soil investigation, digital data of LISS_III, field study and laboratory results of Kashan soil, were analyzed. Upon merging all the morphological and physico chemical characteristics, the soils were classified. The geometric correction on the satellite images was performed by the method of map to image and the error was less than 0.5 pixels. Atmospheric correction was done by minimum histogram method. The train samples were chosen upon directing homogenous units on the color composite, using field study and other information. The images were classified by using SUPERVISED method and maximum likelihood algorithm, than were compared with the ground truth map and information. The results showed that for choosing a suitable band combination while different phenomena have the same_spectral behavior like Torriorthents and Aquisalids. The good index is not only efficient and other information such as DEM in the spectral combination, causes increase in accuracy of classification and Kappa coefficient. The results indicated that, LISS_III cannot discriminate Typic Haplosalids from Typic Aquisalids. Gypsic Aquisalids Have the least reflection, so that this soil have spectral interference with Typic Torriorthents. The surface of Gypsic Aquisalids are full of salt and gypsum, while soil surface of typic Aquisalids are with sponge like and polygons seals, which are moist at the deep layers. Na and Mg salts are the most predominant in the two soils, it seems that moisture and roughens of the soil surface is the main reason for reduction in spectral reflection in Typic Aquisalid.We may conclude that LISS_III data cannot differentiate saline soils with different surface moisture condition.

Cites

INFLUENCE OF WINDBREAK-TREES ON THE SOIL'SPHYSICAL AND CHEMICAL PROPERTIES, HUMIDITY AND EROSION IN ARID REGIONS (CASE STUDY: SEMI-ARID LANDS OF AARAN AND BIDGOL)

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APA: Copy

MATINFAR, H.R., SARMADIAN, F., & ALAVIPANAH, S.K.. (2009). ASSESSMENT OF LISS_III SENSOR DATA IN ORDER TO INVESTIGATE SOILS USING FIELD DATA AND GIS IN ARAN_BIDGOL AREA. WATERSHED MANAGEMENT RESEARCHES (PAJOUHESH-VA-SAZANDEGI), 21(1 (82)), 46-58. SID. https://sid.ir/paper/200747/en

Vancouver: Copy

MATINFAR H.R., SARMADIAN F., ALAVIPANAH S.K.. ASSESSMENT OF LISS_III SENSOR DATA IN ORDER TO INVESTIGATE SOILS USING FIELD DATA AND GIS IN ARAN_BIDGOL AREA. WATERSHED MANAGEMENT RESEARCHES (PAJOUHESH-VA-SAZANDEGI)[Internet]. 2009;21(1 (82)):46-58. Available from: https://sid.ir/paper/200747/en

IEEE: Copy

H.R. MATINFAR, F. SARMADIAN, and S.K. ALAVIPANAH, “ASSESSMENT OF LISS_III SENSOR DATA IN ORDER TO INVESTIGATE SOILS USING FIELD DATA AND GIS IN ARAN_BIDGOL AREA,” WATERSHED MANAGEMENT RESEARCHES (PAJOUHESH-VA-SAZANDEGI), vol. 21, no. 1 (82), pp. 46–58, 2009, [Online]. Available: https://sid.ir/paper/200747/en

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