Archives
 
Year 2021
 
Vol 62, Issue 1, [02 - 2021]

A development of the Enhanced Built-up and Bareness Index (EBBI) based on combination of multi-resolution Landsat 8 and Sentinel 2 MSI images

DOI:10.46326/JMES.2021.62(1).01

  • Affiliations:

    1 Military Technical Academy, Hanoi, Vietnam
    2 Hanoi University of Mining and Geology, Vietnam
    3 The Military Terrain Training Center, Lam Dong, Vietnam

  • *Corresponding:
    This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Received: 15th-Sept-2020
  • Revised: 23rd-Dec-2020
  • Accepted: 21st-Jan-2021
  • Online: 28th-Feb-2021
Pages: 1 - 9
Views: 14173
View onlineView online
Downloads: 8563
Downdload PDF
★★★★★Rating: 1.0, Total rating: 852
  • ★
  • ★
  • ★
  • ★
  • ★
Yours rating

Abstract:

Classification of built-up land and bare land on remote sensing images is a very difficult problem due to the complexity of the urban land cover. Several urban indices have been proposed to improve the accuracy in classifying urban land use/land cover from optical satellite imagery. This paper presents an development of the EBBI (Enhanced Built-up and Bareness Index) index based on the combination of Landsat 8 and Sentinel 2 multi-resolution satellite imagery. Near infrared band (band 8a), short wave infrared band (band 11) of Sentinel 2 MSI image and thermal infrared band (band 10) Landsat 8 image were used to calculate EBBI index. The results obtained show that the combination of Landsat 8 and Sentinel 2 satellite images improves the spatial resolution of EBBI index image, thereby improving the accuracy of classification of bare land and built-up land by about 5% compared with the case using only Landsat 8 images.

How to Cite
Trinh, H.Le, Le, H.Thu Thi, Le, L.Duc and Nguyen, L.Thanh 2021. A development of the Enhanced Built-up and Bareness Index (EBBI) based on combination of multi-resolution Landsat 8 and Sentinel 2 MSI images (in Vietnamese). Journal of Mining and Earth Sciences. 62, 1 (Feb, 2021), 1-9. DOI:https://doi.org/10.46326/JMES.2021.62(1).01.
References

As-syakur Abd. R., Adnyana I. W., Arthana I. W., Nuarsa I.W., (2012). Enhanced built - up and bareness index (EBBI) for mapping built - up and bare land in an urban area. Remote Sensing 4, 2957 --2970.

Bramhe V., Ghosh S., Garg P., (2018). Extraction of built-up area by combining textural features and spectral indices from Landsat 8 multispectral image. The International Archives of the Photogrammetry. Remote Sensing and Spatial Information Sciences 42(5), 727 - 733.

Guindon B., Zhang Y., Dillabaugh C., (2004). Landsat urban mapping based on a combined spectral-spatial methodology. Remote Sensing of Environment 92(2), 218 - 232.

Jieli C., Liu Y., Manchun L., Chenglei S., (2010). Extract residential areas automatically by New Built-up Index. The 18th International Conference on Geoinformatics: GIScience in Change, Geoinformatics 2010, Peking University, Beijing, China, June, 18-20.

Kaab A., Winsvold S. H., Altena B., Nuth C., Nagler T., Wuite J., (2016). Glacier remote sensing using Sentinel 2. Part I: Radiometric and geometric performance and application to ice velocity. Remote Sensing 8(7), 598, https://doi.org/10. 3390/rs8070598.

Kawamura M., Jayamana S., Tsujiko Y., (1996). Relation between social and environmental conditions in Colombo Sri Lanka and the urban index estimated by satellite remote sensing data. International Archives of the Photogrammetry. Remote Sensing and Spatial Information Sciences 31 (Part B7), 321-326.

Li H., Wang C., Zhong C., Su A., Xiong C., Wang J., Liu J., (2017). Mapping urban bare land automatically from Landsat imagery with a simple index. Remote Sensing, 9(3), 249, 1-15.

Masek J. G., Lindsay F. E., Goward S. N., (2000). Dynamics of urban growth in the Washington DC metropolitan area, 1973 - 1996 from Landsat observations. International Journal of Remote Sensing 21(18), 3473 - 3486.

Nguyen H.K.L., (2011). Automatic maping  of urban land distribution using IBI index from Landsat TM: Hue City, Thua Thien Hue, Vietnam. Proceding of National GIS Application Conference. 205 – 12 (in Vietnamese).

Nguyen T.T.H., (2019). Applying urban indices to extract bare land and build – up areas in Hanoi from Landsat 8. Journal of Mining and Earth sciences 60(4), 82-86 (in Vietnamese)..

Rasul A., Balzter H., Faqe Ibrahim G., Hameed H., Wheeler J., Adamu B., Ibrahim S., Najmaddin P., (2018). Applying built-up and bare soil indicies from Landsat 8 to cities in dry climates. Land, 7, 81, 1-13.

Rikimaru A., Miyatake S., (1997). Development of Forest Canopy Density Mapping and Monitoring Model using Indices of Vegetation, Bare soil and Shadow. In Proceeding of the 18th Asian Conference on Remote Sensing (ACRS), Kuala Lumpur, Malaysia, 20-25 October 1997, p. 3.

Sekertekin A., Abdikan S., Marangoz A., (2018). The acquisition of impervious surface area from Landsat 8 satellite sensor data using urban indices: a comparative analysis. Environmental Monitoring and Assessment, 190(7), 381, 1-13.

Sun Z., Wang C., Guo H., Shang R., (2017). A Modified Normalized Difference Impervious Surface Index (MNDISI) for automatic urban mapping from Landsat imagery. Remote Sensing, 9(9), 942, https://doi.org/10.3390/ rs9090942.

Trinh L.H., (2018). Combined Use of Landsat 8 and Sentinel 2 Images for Enhanced Spatial Resolution of Land Surface Temperature. VNU Journal of Science: Earth and Environmental Sciences 34(2), 54-63 (in Vietnamese)..

Trinh L.H., (2020). Urban Bare Land Classification Using NDBal Index Based on Combination of Sentinel 2 MSI and Landsat 8 Multiresolution Images. VNU Journal of Science: Earth and Environmental Sciences 36(2), 68-78 (in Vietnamese).

Xu H. Q., (2002). Spatial expansion of urban/town in Fuqing and its driving analysis. Remote Sensing Technology and Application 17, 86 - 92.

Xu H.Q., (2007). Extraction of urban built - up land features from Landsat imagery using a thematic oriented index combination technique. Photogrammetric Engineering and Remote Sensing, 73(12), 1381 -1391.

Xu H.Q., (2008). A new index for delineating built-up land features in satellite imagery. International Journal of Remote Sensing, 29, 4269 - 4276.

Zha Y., Gao J., Ni S., (2003). Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. International Journal of Remote Sensing, 24(3), 583 - 594.

Zhao H., Chen X., (2005). Use of Normalized Difference Bareness Index in quickly mapping bare areas from TM/ETM+. International Geoscience and Remote Sensing Symposium (IGARSS) 3, 1666-1668, DOI: 10.1109/IGARSS. 2005.1526319

Other articles