LAND USE MAPPING USING ARTIFICIAL NEURAL NETWORK (CASE STUDY: KABOUDARAHANG, RAZAN AND KHONJIN- TALKHAB CATCHMENT IN HAMEDAN PROVINCE)

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SOFFIANIAN A. R.; MOHAMADI TOWFIGH E.; KHODAKARAMI L.; AMIRI F.

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Journal: Journal of RS and GIS for Natural Resources Year:2011 | Volume:2 | Issue:1 Page(s): 1-11

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Title

LAND USE MAPPING USING ARTIFICIAL NEURAL NETWORK (CASE STUDY: KABOUDARAHANG, RAZAN AND KHONJIN- TALKHAB CATCHMENT IN HAMEDAN PROVINCE)

Author(s)

SOFFIANIAN A. R. | MOHAMADI TOWFIGH E. | KHODAKARAMI L. | AMIRI F. | Issue Writer Certificate

Keywords

LAND COVER ARTIFICIAL NEURAL NETWORK REMOTE SENSING VEGETATION INDEX HAMADANQ2

Abstract

Land cover mapping is important for much planning and management activities. Today, satellite images and remote sensing techniques are extensively used in all sectors, including agriculture and natural resources because they provide updated data and high analyzing abilities. In this study, in order to produce the land cover maps for part of Hamedan province, digital satellite data IRSP6 (Awifs time series data) was used. First, satellite images with geometric correction of a mean square error of less than 0.48 pixels were applied. For image classification, Perceptron’s classification method of artificial neural network with three layers was used, employing vegetation index maps (NDVI) as auxiliary data. Finally, the land cover map of the study region was classified into thirteen classes. To assess the classified land cover map precision, it was controlled for ground truths with a GPS. Kappa coefficient and overall classification accuracy of neural network methods were estimated 86 and 88 percent, respectively. The results confirmed that the neural network classifier was capable of generated land cover maps and cultivation‎ pattern‎ with high accuracy.

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APA: Copy

SOFFIANIAN, A. R., MOHAMADI TOWFIGH, E., KHODAKARAMI, L., & AMIRI, F.. (2011). LAND USE MAPPING USING ARTIFICIAL NEURAL NETWORK (CASE STUDY: KABOUDARAHANG, RAZAN AND KHONJIN- TALKHAB CATCHMENT IN HAMEDAN PROVINCE). JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), 2(1), 1-11. SID. https://sid.ir/paper/189437/en

Vancouver: Copy

SOFFIANIAN A. R., MOHAMADI TOWFIGH E., KHODAKARAMI L., AMIRI F.. LAND USE MAPPING USING ARTIFICIAL NEURAL NETWORK (CASE STUDY: KABOUDARAHANG, RAZAN AND KHONJIN- TALKHAB CATCHMENT IN HAMEDAN PROVINCE). JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE)[Internet]. 2011;2(1):1-11. Available from: https://sid.ir/paper/189437/en

IEEE: Copy

A. R. SOFFIANIAN, E. MOHAMADI TOWFIGH, L. KHODAKARAMI, and F. AMIRI, “LAND USE MAPPING USING ARTIFICIAL NEURAL NETWORK (CASE STUDY: KABOUDARAHANG, RAZAN AND KHONJIN- TALKHAB CATCHMENT IN HAMEDAN PROVINCE),” JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), vol. 2, no. 1, pp. 1–11, 2011, [Online]. Available: https://sid.ir/paper/189437/en

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