Analisis Kualitas Ekologi Perkotaan Berbasis Data Penginderaan Jauh di Kota Bandung Tahun 2023
Sigit Heru Murti Budi Santosa, Universitas Gadjah Mada, Indonesia
Prima Widayani, Universitas Gadjah Mada, Indonesia
Abstract
Urbanization has consequences for the urban environment, such as environmental pollution, which has a direct impact on the quality of urban ecology. In monitoring the quality of the urban environment, RSEI is one method that can be used. This study aims to assess the quality of urban ecology using RSEI in Bandung City in 2023 during the rainy season and dry season. RSEI combines four main indicators in the form of NDVI, WET, NDBSI, and LST from Landsat 8 and 9 image data analyzed using the PCA method. The results showed that image recording in both seasons greatly affected the RSEI results, where RSEI had better conditions during the rainy season than the dry season in terms of area and spatial distribution. This was evidenced by the RSEI area in the good and very good categories tending to be higher during the rainy season.
Keywords: Urban Ecological Quality, RSEI, Landsat
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Airiken, M., Zhang, F., Chan, N. W., & Kung, H. te. (2022). Assessment of spatial and temporal ecological environment quality under land use change of urban agglomeration in the North Slope of Tianshan, China. Environmental Science and Pollution Research, 29(8). https://doi.org/10.1007/s11356-021-16579-3
Batty, M. (2008). The size, scale, and shape of cities. Science, 319(5864), 769–771. https://doi.org/10.1126/SCIENCE.1151419
Button, K. (2002). City management and urban environmental indicators. Ecological Economics, 40(2), 217–233. https://doi.org/10.1016/S0921-8009(01)00255-5
Fang, C., Cui, X., Li, G., Bao, C., Wang, Z., Ma, H., Sun, S., Liu, H., Luo, K., & Ren, Y. (2019). Modeling regional sustainable development scenarios using the Urbanization and Eco-environment Coupler: Case study of Beijing-Tianjin-Hebei urban agglomeration, China. Science of The Total Environment, 689, 820–830. https://doi.org/10.1016/j.scitotenv.2019.06.430
Firozjaei, M. K., Kiavarz, M., Homaee, M., Arsanjani, J. J., & Alavipanah, S. K. (2021). A novel method to quantify urban surface ecological poorness zone: A case study of several European cities. Science of the Total Environment, 757. https://doi.org/10.1016/j.scitotenv.2020.143755
Gao, P., Kasimu, A., Zhao, Y., Lin, B., Chai, J., Ruzi, T., & Zhao, H. (2020). Evaluation of the Temporal and Spatial Changes of Ecological Quality in the Hami Oasis Based on RSEI. Sustainability, 12(18), 7716. https://doi.org/10.3390/su12187716
Geng, J., Yu, K., Xie, Z., Zhao, G., Ai, J., Yang, L., Yang, H., & Liu, J. (2022). Analysis of Spatiotemporal Variation and Drivers of Ecological Quality in Fuzhou Based on RSEI. Remote Sensing, 14(19), 4900. https://doi.org/10.3390/rs14194900
Hasnat, G. N. T. (2021). A Time Series Analysis of Forest Cover and Land Surface Temperature Change Over Dudpukuria-Dhopachari Wildlife Sanctuary Using Landsat Imagery. Frontiers in Forests and Global Change, 4. https://doi.org/10.3389/ffgc.2021.687988
HEALEY, S., COHEN, W., ZHIQIANG, Y., & KRANKINA, O. (2005). Comparison of Tasseled Cap-based Landsat data structures for use in forest disturbance detection. Remote Sensing of Environment, 97(3), 301–310. https://doi.org/10.1016/j.rse.2005.05.009
Jiang, C. L., Wu, L., Liu, D., & Wang, S. M. (2019). Dynamic monitoring of eco-environmental quality in arid desert area by remote sensing: Taking the Gurbantunggut Desert China as an example. Chinese Journal of Applied Ecology, 30(3). https://doi.org/10.13287/j.1001-9332.201903.008
Jiang, L., Liu, Y., Wu, S., & Yang, C. (2021). Analyzing ecological environment change and associated driving factors in China based on NDVI time series data. Ecological Indicators, 129, 107933. https://doi.org/10.1016/j.ecolind.2021.107933
Jin, S., & Sader, S. A. (2005). Comparison of time series tasseled cap wetness and the normalized difference moisture index in detecting forest disturbances. Remote Sensing of Environment, 94(3), 364–372. https://doi.org/10.1016/j.rse.2004.10.012
Jing, Y., Zhang, F., He, Y., Kung, H. te, Johnson, V. C., & Arikena, M. (2020). Assessment of spatial and temporal variation of ecological environment quality in Ebinur Lake Wetland National Nature Reserve, Xinjiang, China. Ecological Indicators, 110. https://doi.org/10.1016/j.ecolind.2019.105874
Kalnay, E., & Cai, M. (2003). Impact of urbanization and land-use change on climate. Nature, 423(6939), 528–531. https://doi.org/10.1038/nature01675
Karbalaei Saleh, S., Amoushahi, S., & Gholipour, M. (2021). Spatiotemporal ecological quality assessment of metropolitan cities: a case study of central Iran. Environmental Monitoring and Assessment, 193(5). https://doi.org/10.1007/s10661-021-09082-2
Lestiani, D. D., Santoso, M., Kurniawati, S., & Markwitz, A. (2013). Characteristic of airborne particulate matter samples collected from two semi industrial sites in Bandung, Indonesia. Indonesian Journal of Chemistry, 13(3), 271-277.
Li, Y., Cao, Z., Long, H., Liu, Y., & Li, W. (2017). Dynamic analysis of ecological environment combined with land cover and NDVI changes and implications for sustainable urban–rural development: The case of Mu Us Sandy Land, China. Journal of Cleaner Production, 142, 697–715. https://doi.org/10.1016/j.jclepro.2016.09.011
Liu, C., Yang, M., Hou, Y., Zhao, Y., & Xue, X. (2021). Spatiotemporal evolution of island ecological quality under different urban densities: A comparative analysis of Xiamen and Kinmen Islands, southeast China. Ecological Indicators, 124. https://doi.org/10.1016/j.ecolind.2021.107438
Montgomery, M. R. (2008). The Urban Transformation of the Developing World. Science, 319(5864), 761–764. https://doi.org/10.1126/science.1153012
Nie, X., Hu, Z., Zhu, Q., & Ruan, M. (2021). Research on temporal and spatial resolution and the driving forces of ecological environment quality in coal mining areas considering topographic correction. Remote Sensing, 13(14). https://doi.org/10.3390/rs13142815
Qureshi, S., Alavipanah, S. K., Konyushkova, M., Mijani, N., Fathololomi, S., Firozjaei, M. K., Homaee, M., Hamzeh, S., & Kakroodi, A. A. (2020). A remotely sensed assessment of surface ecological change over the Gomishan Wetland, Iran. Remote Sensing, 12(18). https://doi.org/10.3390/RS12182989
Seddon, A. W. R., Macias-Fauria, M., Long, P. R., Benz, D., & Willis, K. J. (2016). Sensitivity of global terrestrial ecosystems to climate variability. Nature, 531(7593), 229–232. https://doi.org/10.1038/nature16986
Wang, H., Liu, D., Lin, H., Montenegro, A., & Zhu, X. (2015). NDVI and vegetation phenology dynamics under the influence of sunshine duration on the Tibetan plateau. International Journal of Climatology, 35(5). https://doi.org/10.1002/joc.4013
Xu, H. Q. (2013). A remote sensing index for assessment of regional ecological changes. Zhongguo Huanjing Kexue/China Environmental Science, 33(5).
Xu, H. Q., & Zhang, H. (2015). Ecological response to urban expansion in an island city: Xiamen, southeastern China. SCIENTIA GEOGRAPHICA SINICA, 5, 867–872.
Xu, H., Wang, M., Shi, T., Guan, H., Fang, C., & Lin, Z. (2018). Prediction of ecological effects of potential population and impervious surface increases using a remote sensing based ecological index (RSEI). Ecological Indicators, 93, 730–740. https://doi.org/10.1016/j.ecolind.2018.05.055
Xu, H., Wang, Y., Guan, H., Shi, T., & Hu, X. (2019). Detecting Ecological Changes with a Remote Sensing Based Ecological Index (RSEI) Produced Time Series and Change Vector Analysis. Remote Sensing 2019, Vol. 11, Page 2345, 11(20), 2345. https://doi.org/10.3390/RS11202345
Xu, H., & Zhang, T. (2013). Assessment of consistency in forest-dominated vegetation observations between ASTER and Landsat ETM+ images in subtropical coastal areas of southeastern China. Agricultural and Forest Meteorology, 168. https://doi.org/10.1016/j.agrformet.2012.08.012
Xu Hanqiu. (2013). A remote sensing urban ecological index and its application. Acta Ecol, 7853–7862.
Yang, H.-T., & Xu, H.-Q. (2020). Assessing fractional vegetation cover changes and ecological quality of the Wuyi Mountain National Nature Reserve based on remote sensing spatial information. Ying Yong Sheng Tai Xue Bao = The Journal of Applied Ecology, 31(2).
Yuan, B., Fu, L., Zou, Y., Zhang, S., Chen, X., Li, F., Deng, Z., & Xie, Y. (2021). Spatiotemporal change detection of ecological quality and the associated affecting factors in Dongting Lake Basin, based on RSEI. Journal of Cleaner Production, 302, 126995. https://doi.org/10.1016/j.jclepro.2021.126995
Yue, H., Liu, Y., Li, Y., & Lu, Y. (2019). Eco-environmental quality assessment in china’s 35 major cities based on remote sensing ecological index. IEEE Access, 7. https://doi.org/10.1109/ACCESS.2019.2911627
Zhang, S., Zhou, Y., Yu, Y., Li, F., Zhang, R., & Li, W. (2022). Using the Geodetector Method to Characterize the Spatiotemporal Dynamics of Vegetation and Its Interaction with Environmental Factors in the Qinba Mountains, China. Remote Sensing, 14(22), 5794. https://doi.org/10.3390/rs14225794
Zhang, T., Yang, R., Yang, Y., Li, L., & Chen, L. (2021). Assessing the Urban Eco-Environmental Quality by the Remote-Sensing Ecological Index: Application to Tianjin, North China. ISPRS International Journal of Geo-Information, 10(7), 475. https://doi.org/10.3390/ijgi10070475
Zhao Qiguo, Huang Guoqin, & Ma Yanqin. (2016). The ecological environment conditions and construction of an ecological civilization in China. Acta Ecologica Sinica, 36(19). https://doi.org/10.5846/stxb201410081968
Zhu, D., Chen, T., Wang, Z., & Niu, R. (2021). Detecting ecological spatial-temporal changes by Remote Sensing Ecological Index with local adaptability. Journal of Environmental Management, 299, 113655. https://doi.org/10.1016/j.jenvman.2021.113655
Zhu, H., Wang, J. L., Cheng, F., Deng, H., Zhang, E. W., & Li, Y. X. (2020). [Monitoring and evaluation of eco-environmental quality of lake basin regions in Central Yunnan Province, China]. Ying Yong Sheng Tai Xue Bao = The Journal of Applied Ecology, 31(4), 1289–1297. https://doi.org/10.13287/J.1001-9332.202004.011
Zhuang, Q., Wu, S., Yan, Y., Niu, Y., Yang, F., & Xie, C. (2020). Monitoring land surface thermal environments under the background of landscape patterns in arid regions: A case study in Aksu river basin. Science of The Total Environment, 710, 136336. https://doi.org/10.1016/j.scitotenv.2019.136336
DOI: https://doi.org/10.21831/gm.v22i1.70337
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