基于eCongnition软件的土地利用分类研究

doi:10.12190/j.issn.2096-1197.2020.04.21

Abstract

Abstract: 【Objective】 To analyze and evaluate the land use in Tunchang County of Hainan Province by using remote sensing mapping.【Methods】 The GF-2 multi-spectral 4-meter and panchromatic 1-meter images in Hainan were used to extract the land cover types.After the data preprocessing,the vegetation index NDVI,NDWI and SAVI wer constructed on eCongnition software platform as well as the rule set by using object-based classification approach,combining with multi-scale segmentation algorithm.And then four types of land objects,i.e.woodland,water body,impervious surface and other vegetation were gradually extracted from the image.【Results】 The results of extracting forest land and water body were better,and NDVI contributes more for the recognition of forest land and other vegetation.The introduction of NDWI index could solve the difficult problem of shallow water identification in urban areas and surrounding areas,and had achieved good classification results.Through setting SAVI threshold,urban impervious surface and road could be classified better,but some bare land and impervious surface were easy to be confused.The classification results were 12.392 km² of impervious surface,2.534 km² of water,8.519 km² of woodland and 7.690 km² of other vegetation respectively【Conclusion】 The multi-scale segmentation algorithm and multi-index extraction method based on eCongnition software had the characteristics of high efficiency and easy operation,and were suitable for applicating on regional scale.

Key words: Land use classification, Object-based classification approach, eCongnition, Vegetation index, Impervious surface

CLC Number:

TP701

Wuyundeji, CHEN Ruiqing, DUN Huixia. Study on the classification of land utilization based on the eCongnition software[J].Journal of Northern Agriculture, 2020, 48(4): 126-134.

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https://journal30.magtechjournal.com/bfnyxb/EN/Y2020/V48/I4/126

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Study on the classification of land utilization based on the eCongnition software

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