KaliandraKota Malang
Beranda / Teori & Metode

Referensi

Daftar pustaka ilmiah yang menjadi dasar metode Kaliandra.

Pulau panas perkotaan

  1. Oke, T. R. (1982). The energetic basis of the urban heat island. Quarterly Journal of the Royal Meteorological Society, 108(455), 1–24. doi:10.1002/qj.49710845502
  2. Voogt, J. A., & Oke, T. R. (2003). Thermal remote sensing of urban climates. Remote Sensing of Environment, 86(3), 370–384. doi:10.1016/S0034-4257(03)00079-8
  3. Peng, S., Piao, S., Ciais, P., dkk. (2012). Surface urban heat island across 419 global big cities. Environmental Science & Technology, 46(2), 696–703. doi:10.1021/es2030438

Penginderaan jauh & indeks spektral

  1. U.S. Geological Survey (2023). Landsat 8–9 Collection 2 Level 2 Science Product Guide. usgs.gov
  2. Rouse, J. W., Haas, R. H., Schell, J. A., & Deering, D. W. (1974). Monitoring vegetation systems in the Great Plains with ERTS. NASA SP-351, 309–317.
  3. Huete, A. R. (1988). A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment, 25(3), 295–309. doi:10.1016/0034-4257(88)90106-X
  4. Huete, A., Didan, K., Miura, T., dkk. (2002). Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83(1–2), 195–213. doi:10.1016/S0034-4257(02)00096-2
  5. 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. doi:10.1080/01431160304987
  6. 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 Photogrammetry and Remote Sensing, 31(B7), 321–326.
  7. McFeeters, S. K. (1996). The use of the normalized difference water index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, 17(7), 1425–1432. doi:10.1080/01431169608948714
  8. Xu, H. (2006). Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. International Journal of Remote Sensing, 27(14), 3025–3033. doi:10.1080/01431160600589179
  9. Liang, S. (2001). Narrowband to broadband conversions of land surface albedo I: Algorithms. Remote Sensing of Environment, 76(2), 213–238. doi:10.1016/S0034-4257(00)00205-4

Klasifikasi suhu permukaan

  1. Zhang, Y., Yu, T., Gu, X., dkk. (2006). Land surface temperature retrieval from CBERS-02 IRMSS thermal infrared data and its applications in quantitative analysis of urban heat island effect. Journal of Remote Sensing, 10(5), 789–797.
  2. Liu, L., & Zhang, Y. (2011). Urban heat island analysis using the Landsat TM data and ASTER data: A case study in Hong Kong. Remote Sensing, 3(7), 1535–1552. doi:10.3390/rs3071535
  3. Guha, S., Govil, H., Dey, A., & Gill, N. (2018). Analytical study of land surface temperature with NDVI and NDBI using Landsat 8 OLI and TIRS data in Florence and Naples city, Italy. European Journal of Remote Sensing, 51(1), 667–678. doi:10.1080/22797254.2018.1474494

Statistik & pemodelan spasial

  1. Anselin, L. (1988). Spatial Econometrics: Methods and Models. Dordrecht: Kluwer Academic. doi:10.1007/978-94-015-7799-1
  2. Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Chichester: Wiley.
  3. Hengl, T., Heuvelink, G. B. M., & Rossiter, D. G. (2007). About regression-kriging: From equations to case studies. Computers & Geosciences, 33(10), 1301–1315. doi:10.1016/j.cageo.2007.05.001
  4. Breiman, L. (2001). Random forests. Machine Learning, 45(1), 5–32. doi:10.1023/A:1010933404324
  5. Tibshirani, R. (1996). Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society: Series B, 58(1), 267–288. doi:10.1111/j.2517-6161.1996.tb02080.x
  6. Roberts, D. R., Bahn, V., Ciuti, S., dkk. (2017). Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure. Ecography, 40(8), 913–929. doi:10.1111/ecog.02881

Kenyamanan termal

  1. Nieuwolt, S. (1977). Tropical Climatology: An Introduction to the Climates of the Low Latitudes. London: Wiley.
  2. Emmanuel, R. (2005). Thermal comfort implications of urbanization in a warm-humid city: The Colombo Metropolitan Region (CMR), Sri Lanka. Building and Environment, 40(12), 1591–1601. doi:10.1016/j.buildenv.2004.12.004
  3. Effendy, S. (2007). Keterkaitan Ruang Terbuka Hijau dengan Urban Heat Island Wilayah Jabotabek. Disertasi, Sekolah Pascasarjana, Institut Pertanian Bogor.

Data

  1. Zanaga, D., Van De Kerchove, R., Daems, D., dkk. (2022). ESA WorldCover 10 m 2021 v200. Zenodo. doi:10.5281/zenodo.7254221
  2. Karra, K., Kontgis, C., Statman-Weil, Z., dkk. (2021). Global land use/land cover with Sentinel 2 and deep learning. IEEE IGARSS 2021, 4704–4707. doi:10.1109/IGARSS47720.2021.9553499
  3. Zippenfenig, P. (2023). Open-Meteo.com Weather API. Zenodo. doi:10.5281/zenodo.7970649
  4. European Space Agency (2024). Copernicus Global Digital Elevation Model. doi:10.5270/ESA-c5d3d65