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Year 2020
 
Vol 61, Issue 2, [04 - 2020]

Establishment of land cover map using object-oriented classification method for VNREDSat-1 data

DOI:10.46326/JMES.2020.61(2).15

  • Affiliations:

    1 Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, Vietnam 2 Vietnam Institute of Geodesy and Cartography, Vietnam 3 Photography office, Geodesic Enterprise, Survey and Aerial Mapping One Member Limited Liability Company (SAMCOM Co.Ltd) , Vietnam 4 Center for Technical Resources and Environment of Dong Nai Province, Vietnam 5 Office land registration of Bac Tan Uyen district, Binh Duong provice, Vietnam 6 Resources and Environmental office of Di An town, Binh Duong province, Vietnam 7 Faculty of Surveying, Mapping and Geographic Information, Ho Chi Minh University of Natural Resources and Environment, Vietnam

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  • Received: 19th-Jan-2020
  • Revised: 6th-Mar-2020
  • Accepted: 29th-Apr-2020
  • Online: 28th-Apr-2020
Pages: 135 - 145
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Cited by: 6

Abstract:

Land cover/land use classification using high resolution remote sensing data has the biggest challenge is how to distinguish object classes from different spectral values, structures, shapes, and spatial elements. This paper reveals the object-oriented classification method to establish the land cover map using VNREDSat-1 data, with a spatial resolution of 10 m. Land cover/land use system is classified according to CORINE with level 3 with 14 types of land cover/land use. Extraction of 14 types of land cover/land use using object-oriented classification method based on reflectance spectral characteristics, shape index, location of objects, brightness, NDVI plant index, and density objects. The overall accuracy of classification result is about 0.71%.

How to Cite
Pham, L.Thi, , ., Nguyen, S.Phi, Nguyen, N.Viet, Dao, H.Van, Doan, L.Duc, Vo, N.Hong Thi, Nguyen, T.Thu Thi, Tran, H.Van and Le, N.Thanh 2020. Establishment of land cover map using object-oriented classification method for VNREDSat-1 data (in Vietnamese). Journal of Mining and Earth Sciences. 61, 2 (Apr, 2020), 135-145. DOI:https://doi.org/10.46326/JMES.2020.61(2).15.
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