Application of BRDF model in land cover mapping

YANG Xue-feng; YE Mao; MAO Dong-lei

doi:10.3969/j.issn.1000-5641.2017.01.013

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YANG Xue-feng, YE Mao, MAO Dong-lei. Application of BRDF model in land cover mapping[J]. Journal of East China Normal University (Natural Sciences), 2017, (1): 113-124. doi: 10.3969/j.issn.1000-5641.2017.01.013

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YANG Xue-feng, YE Mao, MAO Dong-lei. Application of BRDF model in land cover mapping[J]. Journal of East China Normal University (Natural Sciences), 2017, (1): 113-124. doi: 10.3969/j.issn.1000-5641.2017.01.013

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Application of BRDF model in land cover mapping

doi: 10.3969/j.issn.1000-5641.2017.01.013

College of Geography Science and Tourism, Xinjiang Normal University, 830054, China

Received Date: 2016-03-07
Publish Date: 2017-01-25

Abstract

Abstract

The reflection heterogeneity of vegetation can reflect the structural and spectral characteristics of vegetation, and therefore it can help to identify vegetation more effectively.Misr multi-angle observation data has been explored in the sutdy of the lower Tarim River.Meanwhile, the kernel driven and RPV model inversion is used to obtain information of surface BRDF, and SVM method is used to study the land use and the cover of classification by the combination of MISR nadir reflectance data and BRDF information. By comparative analysis of the effect of the BRDF of the classification results, the findings are as following: ① BRDF information can provide additional information for the land cover mapping in the semi-arid area and improve the accuracy of the mapping. ② Both the kernel driven model and the RPV model can simulate the surface reflection in the study area. ③ After using BRDF, the identification accuracy of grassland and forest land increased obviously.
- BRDF,
- kernel driven model,
- RPV,
- misr,
- the lower Tarim river

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References(31)

References

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