Assessing LULC changes and LST through NDVI and NDBI spatial indicators: a case of Bengaluru, India-Reference-Cited by-同舟云学术

Assessing LULC changes and LST through NDVI and NDBI spatial indicators: a case of Bengaluru, India

Published:2023-04-04 Issue:4 Volume:88 Page:4335-4350
ISSN:1572-9893
Container-title:GeoJournal
language:en
Short-container-title:GeoJournal

Author:

Keerthi Naidu Bhogadi Naga^ORCID,Chundeli Faiz Ahmed^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Geography, Planning and Development

Link

https://link.springer.com/content/pdf/10.1007/s10708-023-10862-1.pdf

Reference45 articles.

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2. Chamling, M., & Bera, B. (2020). Spatio-temporal patterns of land use/land cover change in the Bhutan-Bengal foothill region between 1987 and 2019: Study towards geospatial applications and policy making. Earth Systems and Environment, 4(1), 117–130. https://doi.org/10.1007/s41748-020-00150-0

3. Chapman, C., & Hall, J. W. (2022). Designing green infrastructure and sustainable drainage systems in urban development to achieve multiple ecosystem benefits. Sustainable Cities and Society, 85, 104078. https://doi.org/10.1016/j.scs.2022.104078

4. Crum, S. M., & Darrel Jenerette, G. (2017). Microclimate variation among urban land covers: The importance of vertical and horizontal structure in air and land surface temperature relationships. Journal of Applied Meteorology and Climatology, 56(9), 2531–2543. https://doi.org/10.1175/JAMC-D-17-0054.1

5. da Silva, L. B. L., Alencar, M. H., & de Almeida, A. T. (2022). A novel spatiotemporal multi-attribute method for assessing flood risks in urban spaces under climate change and demographic scenarios. Sustainable Cities and Society, 76, 103501. https://doi.org/10.1016/j.scs.2021.103501

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