Expansion of Impervious Surface Area in Pekanbaru (1990–2018) and Predictions for 2038 Using Big Data
Climate change and biodiversity loss are two major ecological issues facing the world today, 25% of which are caused by land use change. The rate of development of the Pekanbaru City area has an impact on the phenomenon of Impervious Surface Area (ISA) growth that is inevitable in the suburbs. This...
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| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
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| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/11/e3sconf_iseep2025_03008.pdf |
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| author | Wirawan Bayu Andrianto Siregar Yusni Ikhwan Sukendi Sukendi Mulyadi Mulyadi |
| author_facet | Wirawan Bayu Andrianto Siregar Yusni Ikhwan Sukendi Sukendi Mulyadi Mulyadi |
| author_sort | Wirawan Bayu Andrianto |
| collection | DOAJ |
| description | Climate change and biodiversity loss are two major ecological issues facing the world today, 25% of which are caused by land use change. The rate of development of the Pekanbaru City area has an impact on the phenomenon of Impervious Surface Area (ISA) growth that is inevitable in the suburbs. This situation can result in environmental degradation and unpreparedness of government officials so that the growth process leads to unsustainability. The development of spatial big data technology and high-performance cloud computing, the phenomenon of built-up land growth that occurs in Pekanbaru City can be studied further. By using programming carried out through the Google Earth Engine, the process of extracting the trend of built-up land growth in Pekanbaru City can be extracted quickly and presented in a multi-temporal. Through the polynomial regression modeling process with python, from the 1990-2018 data we can predict the area of built-up land in Pekanbaru City in 2038 is around 27985.139 hectares with r2 = 0.97. With accurate future predictions, we can take appropriate policies to handle urban growth sustainably. |
| format | Article |
| id | doaj-art-dc9cc15324864ade9ebd1ef27389b0d2 |
| institution | Kabale University |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-dc9cc15324864ade9ebd1ef27389b0d22025-02-05T10:50:41ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016110300810.1051/e3sconf/202561103008e3sconf_iseep2025_03008Expansion of Impervious Surface Area in Pekanbaru (1990–2018) and Predictions for 2038 Using Big DataWirawan Bayu Andrianto0Siregar Yusni Ikhwan1Sukendi Sukendi2Mulyadi Mulyadi3Enviromental Sciences, Universitas RiauPostgraduate Program, Universitas RiauPostgraduate Program, Universitas RiauPostgraduate Program, Universitas RiauClimate change and biodiversity loss are two major ecological issues facing the world today, 25% of which are caused by land use change. The rate of development of the Pekanbaru City area has an impact on the phenomenon of Impervious Surface Area (ISA) growth that is inevitable in the suburbs. This situation can result in environmental degradation and unpreparedness of government officials so that the growth process leads to unsustainability. The development of spatial big data technology and high-performance cloud computing, the phenomenon of built-up land growth that occurs in Pekanbaru City can be studied further. By using programming carried out through the Google Earth Engine, the process of extracting the trend of built-up land growth in Pekanbaru City can be extracted quickly and presented in a multi-temporal. Through the polynomial regression modeling process with python, from the 1990-2018 data we can predict the area of built-up land in Pekanbaru City in 2038 is around 27985.139 hectares with r2 = 0.97. With accurate future predictions, we can take appropriate policies to handle urban growth sustainably.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/11/e3sconf_iseep2025_03008.pdfland use changeimpervious surface area (isa) growthbig datagoogle earth enginepolynomial regression |
| spellingShingle | Wirawan Bayu Andrianto Siregar Yusni Ikhwan Sukendi Sukendi Mulyadi Mulyadi Expansion of Impervious Surface Area in Pekanbaru (1990–2018) and Predictions for 2038 Using Big Data E3S Web of Conferences land use change impervious surface area (isa) growth big data google earth engine polynomial regression |
| title | Expansion of Impervious Surface Area in Pekanbaru (1990–2018) and Predictions for 2038 Using Big Data |
| title_full | Expansion of Impervious Surface Area in Pekanbaru (1990–2018) and Predictions for 2038 Using Big Data |
| title_fullStr | Expansion of Impervious Surface Area in Pekanbaru (1990–2018) and Predictions for 2038 Using Big Data |
| title_full_unstemmed | Expansion of Impervious Surface Area in Pekanbaru (1990–2018) and Predictions for 2038 Using Big Data |
| title_short | Expansion of Impervious Surface Area in Pekanbaru (1990–2018) and Predictions for 2038 Using Big Data |
| title_sort | expansion of impervious surface area in pekanbaru 1990 2018 and predictions for 2038 using big data |
| topic | land use change impervious surface area (isa) growth big data google earth engine polynomial regression |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/11/e3sconf_iseep2025_03008.pdf |
| work_keys_str_mv | AT wirawanbayuandrianto expansionofimpervioussurfaceareainpekanbaru19902018andpredictionsfor2038usingbigdata AT siregaryusniikhwan expansionofimpervioussurfaceareainpekanbaru19902018andpredictionsfor2038usingbigdata AT sukendisukendi expansionofimpervioussurfaceareainpekanbaru19902018andpredictionsfor2038usingbigdata AT mulyadimulyadi expansionofimpervioussurfaceareainpekanbaru19902018andpredictionsfor2038usingbigdata |