The impact of vegetation and buildings density on flood and landslides in Wenang and Wanea Districts using normalized difference vegetation index and normalized difference built-up index
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Published:
Aug 1, 2023
Keywords:
Flood, Landsat, Landslides, Normalized difference built-up index, Normalized difference vegetation index
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Abstract
Rapid urban development increase building density at the expense of vegetation. When urban areas become less green and more concrete, environmental problems such as floods and landslides are likely to occur. This study aimed to investigate the changes in vegetation and building density in Wenang and Wanea Districts over 8 years based on Landsat imagery using ArcGIS tools. Methods such as the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Built-Up Index (NDBI) were used to analyze the impact of these effects on floods and landslides. From the results, vegetation density declined while building density increased over 8 years. These changes influenced floods and landslides based on the magnitude of vegetation and building indices. For instance, areas with higher building indices became more prone to flooding while those with higher vegetation indices were susceptible to landslides.
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Malik, Andy Anton Mangopa, Valeria Theresia Woy, Rieneke Lusia Evani Sela, and Ingerid Moniaga. 2023. “The Impact of Vegetation and Buildings Density on Flood and Landslides in Wenang and Wanea Districts Using Normalized Difference Vegetation Index and Normalized Difference Built-up Index”. ARTEKS : Jurnal Teknik Arsitektur 8 (2), 229-42. https://doi.org/10.30822/arteks.v8i2.2064.
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ARTICLES-RESEARCH
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Driptufany, Dwi Marsiska, Quinoza Guvil, and Mardiani S. 2019. ‘Ekstraksi Normalized Difference Vegetation Indeks (NDVI) Pada Citra Landsat 8 Untuk Identifikasi Ruang Terbuka Hijau Di Kawasann Resapan Air Kota Padang’. Seminar Nasional Penginderaan Jauh 6 (1): 48–53.
E. D. Chaves, Michel, Michelle C. A. Picoli, and Ieda D. Sanches. 2020. ‘Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review’. Remote Sensing 12 (18): 3062. https://doi.org/10.3390/rs12183062.
Espinoza-Molina, Jorge, Karina Acosta-Caipa, Esther Chambe-Vega, Germán Huayna, Edwin Pino-Vargas, and Jorge Abad. 2022. ‘Spatiotemporal Analysis of Urban Heat Islands in Relation to Urban Development, in the Vicinity of the Atacama Desert’. Climate 10 (6): 87. https://doi.org/10.3390/cli10060087.
Firozjaei, Sedighi, Kiavarz, Qureshi, Haase, and Alavipanah. 2019. ‘Automated Built-Up Extraction Index: A New Technique for Mapping Surface Built-Up Areas Using LANDSAT 8 OLI Imagery’. Remote Sensing 11 (17): 1966. https://doi.org/10.3390/rs11171966.
Hamdi, Halah Qahtan, and Zehraa Najim Abdul-Ameer. 2021. ‘Monitoring Land Change of Cover in Al-Rusafa District In Baghdad City by Using Remote Sensing and GIS Techniques’. Journal of Physics: Conference Series 2114 (1): 012014. https://doi.org/10.1088/1742-6596/2114/1/012014.
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Khamchiangta, Dararat, and Shobhakar Dhakal. 2020. ‘Time Series Analysis of Land Use and Land Cover Changes Related to Urban Heat Island Intensity: Case of Bangkok Metropolitan Area in Thailand’. Journal of Urban Management 9 (4): 383–95. https://doi.org/10.1016/j.jum.2020.09.001.
Li, Xianghai, and Yixin Wang. 2022. ‘Construction of Urban Flood Disaster Emergency Management System Using Scenario Construction Technology’. Edited by Rahim Khan. Computational Intelligence and Neuroscience 2022 (March): 1–10. https://doi.org/10.1155/2022/8048327.
Liu, Shenzhou, Wenzhi Zeng, Lifeng Wu, Guoqing Lei, Haorui Chen, Thomas Gaiser, and Amit Kumar Srivastava. 2021. ‘Simulating the Leaf Area Index of Rice from Multispectral Images’. Remote Sensing 13 (18): 3663. https://doi.org/10.3390/rs13183663.
Mazahreh, Safa, Majed Bsoul, and Doaa Abu Hamoor. 2019. ‘GIS Approach for Assessment of Land Suitability for Different Land Use Alternatives in Semi Arid Environment in Jordan: Case Study (Al Gadeer Alabyad-Mafraq)’. Information Processing in Agriculture 6 (1): 91–108. https://doi.org/10.1016/j.inpa.2018.08.004.
Miller, Isaac J., Brian Schieber, Zachary De Bey, Ernest Benner, Jacob D. Ortiz, Justyn Girdner, Parth Patel, Dominic G. Coradazzi, Justin Henriques, and Jason Forsyth. 2020. ‘Analyzing Crop Health in Vineyards through a Multispectral Imaging and Drone System’. In 2020 Systems and Information Engineering Design Symposium (SIEDS), 1–5. IEEE. https://doi.org/10.1109/SIEDS49339.2020.9106671.
Mu, Bo, Chang Liu, Guohang Tian, Yaqiong Xu, Yali Zhang, Audrey L. Mayer, Rui Lv, Ruizhen He, and Gunwoo Kim. 2020. ‘Conceptual Planning of Urban–Rural Green Space from a Multidimensional Perspective: A Case Study of Zhengzhou, China’. Sustainability 12 (7): 2863. https://doi.org/10.3390/su12072863.
Naguib, N S, and S Daliman. 2022. ‘Analysis of NDVI and NDRE Indices Using Satellite Images for Crop Identification at Kelantan’. IOP Conference Series: Earth and Environmental Science 1102 (1): 012054. https://doi.org/10.1088/1755-1315/1102/1/012054.
Olivares Campos, Barlin Orlando, Franklin Paredes, Juan Carlos Rey, Deyanira Lobo, and Stephanie Galvis-Causil. 2021. ‘The Relationship between the Normalized Difference Vegetation Index, Rainfall, and Potential Evapotranspiration in a Banana Plantation of Venezuela’. SAINS TANAH - Journal of Soil Science and Agroclimatology 18 (1): 58. https://doi.org/10.20961/stjssa.v18i1.50379.
Onyango, Dancan O., and Stephen B. Opiyo. 2022. ‘Detection of Historical Landscape Changes in Lake Victoria Basin, Kenya, Using Remote Sensing Multi-Spectral Indices’. Watershed Ecology and the Environment 4: 1–11. https://doi.org/10.1016/j.wsee.2021.12.001.
Pradono, Budi. 2019. ‘The Interiority of Proximity Between Nature and Architecture in Contemporary and Tropically Context with Cases Studies’. ARTEKS : Jurnal Teknik Arsitektur 3 (2): 129–44. https://doi.org/10.30822/arteks.v3i2.63.
Qu, Carolyn, and Xianjun Hao. 2018. ‘Agriculture Drought and Food Security Monitoring Over the Horn of Africa (HOA) from Space’. In 2018 7th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), 1–4. IEEE. https://doi.org/10.1109/Agro-Geoinformatics.2018.8476128.
Riyadi, Febriyan, and Sri Rahayu. 2019. ‘The Relationship of Vegetation and Building Density toward UHI ( Urban Heat Island ) in Magelang City’. Ruang 5 (2): 83–93.
Sahana, Mehebub, Haoyuan Hong, and Haroon Sajjad. 2018. ‘Analyzing Urban Spatial Patterns and Trend of Urban Growth Using Urban Sprawl Matrix: A Study on Kolkata Urban Agglomeration, India’. Science of The Total Environment 628–629 (July): 1557–66. https://doi.org/10.1016/j.scitotenv.2018.02.170.
Shi, Ge, Nan Jiang, and Lianqiu Yao. 2018. ‘Land Use and Cover Change during the Rapid Economic Growth Period from 1990 to 2010: A Case Study of Shanghai’. Sustainability 10 (2): 426. https://doi.org/10.3390/su10020426.
Surya, Batara, Despry Nur Annisa Ahmad, Harry Hardian Sakti, and Hernita Sahban. 2020. ‘Land Use Change, Spatial Interaction, and Sustainable Development in the Metropolitan Urban Areas, South Sulawesi Province, Indonesia’. Land 9 (3): 95. https://doi.org/10.3390/land9030095.
Trinufi, Rahmat Nanda, and Sri Rahayu. 2020. ‘Analisis Perubahan Kerapatan Vegetasi Dan Bangunan Di Kota Banda Aceh Pasca Bencana Tsunami’. Ruang 6 (1): 28–37. https://doi.org/10.14710/ruang.6.1.29-39.
Ul Din, Shaker, and Hugo Wai Leung Mak. 2021. ‘Retrieval of Land-Use/Land Cover Change (LUCC) Maps and Urban Expansion Dynamics of Hyderabad, Pakistan via Landsat Datasets and Support Vector Machine Framework’. Remote Sensing 13 (16): 3337. https://doi.org/10.3390/rs13163337.
Umarhadi, Deha A., and Projo Danoedoro. 2019. ‘Correcting Topographic Effect on Landsat-8 Images: An Evaluation of Using Different DEMs in Indonesia’. In Sixth Geoinformation Science Symposium, edited by Sandy Budi Wibowo, Andi B. Rimba, Ammar A. Aziz, Stuart Phinn, Josaphat Tetuko Sri Sumantyo, Hasti Widyasamratri, and Sanjiwana Arjasakusuma, 41. SPIE. https://doi.org/10.1117/12.2549109.
Wang, Sonam Wangyel, Belay Manjur Gebru, Munkhnasan Lamchin, Rijan Bhakta Kayastha, and Woo-Kyun Lee. 2020. ‘Land Use and Land Cover Change Detection and Prediction in the Kathmandu District of Nepal Using Remote Sensing and GIS’. Sustainability 12 (9): 3925. https://doi.org/10.3390/su12093925.
Wiatkowska, Barbara, Janusz Słodczyk, and Aleksandra Stokowska. 2021. ‘Spatial-Temporal Land Use and Land Cover Changes in Urban Areas Using Remote Sensing Images and GIS Analysis: The Case Study of Opole, Poland’. Geosciences 11 (8): 312. https://doi.org/10.3390/geosciences11080312.
Widodo, Johannes. 2019. ‘Human, Nature, And Architecture’. ARTEKS : Jurnal Teknik Arsitektur 3 (2): 145–48. https://doi.org/10.30822/arteks.v3i2.65.
Xie, Qiaoyun, Jadu Dash, Wenjiang Huang, Dailiang Peng, Qiming Qin, Hugh Mortimer, Raffaele Casa, et al. 2018. ‘Vegetation Indices Combining the Red and Red-Edge Spectral Information for Leaf Area Index Retrieval’. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11 (5): 1482–93. https://doi.org/10.1109/JSTARS.2018.2813281.
Yasin, Muhammad Yazrin, Jamalunlaili Abdullah, Norzailawati Mohd Noor, Mariney Mohd Yusoff, and Nisfariza Mohd Noor. 2022. ‘Landsat Observation of Urban Growth and Land Use Change Using NDVI and NDBI Analysis’. IOP Conference Series: Earth and Environmental Science 1067 (1): 012037. https://doi.org/10.1088/1755-1315/1067/1/012037.
Yusoff, M M. 2020. ‘Improving the Quality of Life for Sustainable Development’. IOP Conference Series: Earth and Environmental Science 561 (1): 012020. https://doi.org/10.1088/1755-1315/561/1/012020.
Zhang, Hankui K., David P. Roy, Lin Yan, Zhongbin Li, Haiyan Huang, Eric Vermote, Sergii Skakun, and Jean-Claude Roger. 2018. ‘Characterization of Sentinel-2A and Landsat-8 Top of Atmosphere, Surface, and Nadir BRDF Adjusted Reflectance and NDVI Differences’. Remote Sensing of Environment 215 (September): 482–94. https://doi.org/10.1016/j.rse.2018.04.031.
Zheng, Yuanmao, Lina Tang, and Haowei Wang. 2021. ‘An Improved Approach for Monitoring Urban Built-up Areas by Combining NPP-VIIRS Nighttime Light, NDVI, NDWI, and NDBI’. Journal of Cleaner Production 328 (December): 129488. https://doi.org/10.1016/j.jclepro.2021.129488.