Main Article Content
Abstract
This study aims to evaluate the surface carbon stock estimation model in Kendari City working area using Geographic Information Systems (GIS) and remote sensing approaches. Spatial analysis was carried out using Sentinel-2A satellite imagery with a resolution of 10 meters per pixel, employing the vegetation index method as the primary indicator for estimating carbon stocks. Field data were used as reference and validation for image interpretation results, which were processed using spatial statistical methods to produce an accurate and reliable surface carbon distribution model. The research findings indicate that the Kendari City area has a significantly varied distribution of carbon stocks, with values ranging from low to high at 203.669 tons of carbon per pixel. Areas with high vegetation cover, such as urban forests and green open spaces, exhibited higher carbon concentrations compared to settlement areas and densely urbanized regions. Model evaluation conducted through field validation methods revealed a high correlation between model predictions and actual field conditions. This research demonstrates that the integration of GIS and remote sensing is effective for rapidly and accurately mapping and evaluating potential surface carbon stocks. Spatial information about carbon reserves is crucial as a basis for formulating sustainable environmental management policies and climate change mitigation strategies in Kendari City. The results of this study recommend wider adoption of this method to support spatial data-based environmental management in other regions across Indonesia
Keywords
Article Details
References
- Ahmed, H. G. I., Mohamed, M. H., & Saleh, S. S. (2021). A GIS model for exploring the water pumped storage locations using remote sensing data. Egyptian Journal of Remote Sensing and Space Science, 24(3), 515–523. https://doi.org/10.1016/j.ejrs.2021.09.006
- Al-Bahrani, H. S., Al-Rammahi, A. H., Al-Mamoori, S. K., Al-Maliki, L. A., & AL-Ansari, N. (2022). Groundwater detection and classification using remote sensing and GIS in Najaf, Iraq. Groundwater for Sustainable Development, 19, 100838. https://doi.org/10.1016/j.gsd.2022.100838
- AlHamaydeh, M., Al-Shamsi, G., Aly, N., & Ali, T. (2021). Seismic risk quantification and GIS-based seismic risk maps for Dubai-UAE_Dataset. Data in Brief, 39, 107566. https://doi.org/10.1016/j.dib.2021.107566
- Aljenaid, S., Abido, M., Redha, G. K., AlKhuzaei, M., Marsan, Y., Khamis, A. Q., Naser, H., AlRumaidh, M., & Alsabbagh, M. (2022). Assessing the spatiotemporal changes, associated carbon stock, and potential emissions of mangroves in Bahrain using GIS and remote sensing data. Regional Studies in Marine Science, 52, 102282. https://doi.org/10.1016/j.rsma.2022.102282
- Alqahtany, A. (2023). GIS-based assessment of land use for predicting increase in settlements in Al Ahsa Metropolitan Area, Saudi Arabia for the year 2032. Alexandria Engineering Journal, 62, 269–277. https://doi.org/10.1016/j.aej.2022.07.020
- Bedair, S., Sayed, S. A., & AlMetwaly, W. M. (2022). Enhancing Hybrid Learning using Open Source GIS-Based Maps Archiving System. Egyptian Journal of Remote Sensing and Space Science, 25(3), 779–793. https://doi.org/10.1016/j.ejrs.2022.07.003
- Çetinkaya, C., Erbaş, M., Kabak, M., & Özceylan, E. (2023). A mass vaccination site selection problem: An application of GIS and entropy-based MAUT approach. Socio-Economic Planning Sciences, 85(May). https://doi.org/10.1016/j.seps.2022.101376
- Chowdhury, M. S., & Hafsa, B. (2022). Multi-decadal land cover change analysis over Sundarbans Mangrove Forest of Bangladesh: A GIS and remote sensing based approach. Global Ecology and Conservation, 37(May), e02151. https://doi.org/10.1016/j.gecco.2022.e02151
- Chukwuma, E. C., Okonkwo, C. C., Ojediran, J. O., Anizoba, D. C., Ubah, J. I., & Nwachukwu, C. P. (2021). A Gis Based Flood Vulnerability Modelling Of Anambra State Using An Integrated Ivfrn-Dematel-Anp Model. Heliyon, 7(9), e08048. https://doi.org/10.1016/j.heliyon.2021.e08048
- Desalegn, H., & Mulu, A. (2021). Mapping flood inundation areas using GIS and HEC-RAS model at Fetam River, Upper Abbay Basin, Ethiopia. Scientific African, 12, e00834. https://doi.org/10.1016/j.sciaf.2021.e00834
- Dhinsa, D., Tamiru, F., & Tadesa, B. (2022). Groundwater potential zonation using VES and GIS techniques: A case study of Weserbi Guto catchment in Sululta, Oromia, Ethiopia. Heliyon, 8(8), e10245. https://doi.org/10.1016/j.heliyon.2022.e10245
- El-Hadidy, S. M., & Morsy, S. M. (2022). Expected spatio-temporal variation of groundwater deficit by integrating groundwater modeling, remote sensing, and GIS techniques. Egyptian Journal of Remote Sensing and Space Science, 25(1), 97–111. https://doi.org/10.1016/j.ejrs.2022.01.001
- Elbeih, S. F. (2021). Evaluation of agricultural expansion areas in the Egyptian deserts: A review using remote sensing and GIS. Egyptian Journal of Remote Sensing and Space Science, 24(3P2), 889–906. https://doi.org/10.1016/j.ejrs.2021.10.004
- Elboshy, B., Alwetaishi, M., M. H. Aly, R., & Zalhaf, A. S. (2022). A suitability mapping for the PV solar farms in Egypt based on GIS-AHP to optimize multi-criteria feasibility. Ain Shams Engineering Journal, 13(3), 101618. https://doi.org/10.1016/j.asej.2021.10.013
- Endayani, S., Sadono, R., Kusumandari, A., & Hartono. (2019). Social and economic vulnerability in the sub-watershed of Karang mumus, East Kalimantan Province. Jurnal Manajemen Hutan Tropika, 25(2), 93–103. https://doi.org/10.7226/jtfm.25.2.93
- Endayani, S., Sadono, R., Kusumandari, A., Hartono, & Baiquni, M. (2022). Horizontal and Vertical Geometric Accuracy of Agisoft Photoscan and Pix4D Mapper Softwares at Kebun Raya Universitas Mulawarman in Samarinda, East Kalimantan, Indonesia. International Journal on Advanced Science, Engineering and Information Technology, 12(5), 2132–2139. https://doi.org/10.18517/ijaseit.12.5.16362
- Endayani, S., Stefano, A., Fathiah, Hamka, & Lisnawati, A. (2023). Forest Land Change Assessment of Karang Mumus Sub-Watershed Area. Jurnal Manajemen Hutan Tropika, 29(1), 35–44. https://doi.org/10.7226/jtfm.29.1.35
- Endayani, S., Stefano, A., Fathiah, Purbawati, & Rosanti, I. (2022). Monitoring Forest Area Change Using Quickbird. Biotropia, 29(2), 161–170. https://doi.org/10.11598/btb.2022.29.2.1690
- Erdem, F., Atun, R., Yigit Avdan, Z., Atila, I., & Avdan, U. (2021). Drought analysis of Van Lake Basin with remote sensing and GIS technologies. Egyptian Journal of Remote Sensing and Space Science, 24(3), 1093–1102. https://doi.org/10.1016/j.ejrs.2021.10.006
- Ghoneim, S. M., Yehia, M. A., Salem, S. M., & Ali, H. F. (2022). Integrating remote sensing data, GIS analysis and field studies for mapping alteration zones at Wadi Saqia area, central Eastern Desert, Egypt. Egyptian Journal of Remote Sensing and Space Science, 25(1), 323–336. https://doi.org/10.1016/j.ejrs.2022.02.001
- Gupta, L., Agrawal, N., Dixit, J., & Dutta, S. (2022). A GIS-based assessment of active tectonics from morphometric parameters and geomorphic indices of Assam Region, India. Journal of Asian Earth Sciences: X, 8(July 2021), 100115. https://doi.org/10.1016/j.jaesx.2022.100115
- Gürtekin, E., & Gökçe, O. (2021). Estimation of erosion risk of Harebakayiş sub-watershed, Elazig, Turkey, using GIS based RUSLE model. Environmental Challenges, 5(June). https://doi.org/10.1016/j.envc.2021.100315
- Isihak, S., Akpan, U., & Bhattacharyya, S. (2022). Evolution of GIS-based rural electrification planning models and an application of OnSSET in Nigeria. Renewable and Sustainable Energy Transition, 2(May 2021), 100019. https://doi.org/10.1016/j.rset.2022.100019
- Khalil, N., Mhanna, M., & Assaf, E. H. (2021). Horizontal corridor optimization of highway using GIS & CFSC method in mountainous areas. Egyptian Journal of Remote Sensing and Space Science, 24(3), 509–514. https://doi.org/10.1016/j.ejrs.2021.08.008
- Kumar, M., Singh, P., & Singh, P. (2022). Integrating GIS and remote sensing for delineation of groundwater potential zones in Bundelkhand Region, India. Egyptian Journal of Remote Sensing and Space Science, 25(2), 387–404. https://doi.org/10.1016/j.ejrs.2022.03.003
- Larkin, A., Gu, X., Chen, L., & Hystad, P. (2021). Predicting perceptions of the built environment using GIS, satellite and street view image approaches. Landscape and Urban Planning, 216, 104257. https://doi.org/10.1016/j.landurbplan.2021.104257
- Li, S., Zhang, M., Yuan, F., Li, X., Wang, C., Long, J., & Jiao, J. (2022). Isotope spatiotemporal analysis and prospecting indication based on GIS in Tibet. Ore Geology Reviews, 147(May), 104997. https://doi.org/10.1016/j.oregeorev.2022.104997
- Li, W., Winter, P. L., Milburn, L. A., & Padgett, P. E. (2021). A dual-method approach toward measuring the built environment - sampling optimization, validity, and efficiency of using GIS and virtual auditing. Health and Place, 67, 102482. https://doi.org/10.1016/j.healthplace.2020.102482
- Liu, H., Zhang, Z., Chen, T., Yang, J., Li, Q., & He, D. (2021). Simplified Modelling of Transient Ground Potential Rise of GIS in Ultra-high-voltage Substations with Hybrid Reactive Power Compensation. Electric Power Systems Research, 199(51507095), 107441. https://doi.org/10.1016/j.epsr.2021.107441
- Liu, Q., Zhai, G., & Lu, X. (2021). Integrated land-sea surveying and mapping of intertidal zone based on high-definition remote sensing images and GIS technology. Microprocessors and Microsystems, 82(January), 103937. https://doi.org/10.1016/j.micpro.2021.103937
- Lumbreras, M., Diarce, G., Martin-Escudero, K., Campos-Celador, A., & Larrinaga, P. (2022). Design of district heating networks in built environments using GIS: A case study in Vitoria-Gasteiz, Spain. Journal of Cleaner Production, 349(August 2021), 131491. https://doi.org/10.1016/j.jclepro.2022.131491
- Massano, M., Macii, E., Lanzini, A., Patti, E., & Bottaccioli, L. (2023). A GIS Open-Data Co-Simulation Platform for Photovoltaic Integration in Residential Urban Areas. Engineering, 26, 198–213. https://doi.org/10.1016/j.eng.2022.06.020
- Murugesan, M., Venkatesan, P., Kumar, S., Thangavelu, P., Rose, W., John, J., Castro, M., Manivannan, T., Mohan, V. R., & Rupali, P. (2022). Epidemiological investigation of the COVID-19 outbreak in Vellore district in South India using Geographic Information Surveillance (GIS). International Journal of Infectious Diseases, 122, 669–675. https://doi.org/10.1016/j.ijid.2022.07.010
- Pepe, M., Costantino, D., Alfio, V. S., Restuccia, A. G., & Papalino, N. M. (2021). Scan to BIM for the digital management and representation in 3D GIS environment of cultural heritage site. Journal of Cultural Heritage, 50, 115–125. https://doi.org/10.1016/j.culher.2021.05.006
- Quan, S. J., & Bansal, P. (2021). A systematic review of GIS-based local climate zone mapping studies. Building and Environment, 196(November 2020), 107791. https://doi.org/10.1016/j.buildenv.2021.107791
- Stefano, A., Endayani, S., & Sadono, R. (2021). Combining the Traditional and Modern Architecture in Taman Samarendah Plan, Samarinda City, East Kalimantan Province, Indonesia. International Journal on Advanced Science, Engineering and Information Technology, 11(2), 705–711. https://doi.org/10.18517/ijaseit.11.2.8341
- Taloor, A. K., Adimalla, N., & Goswami, A. (2021). Remote Sensing and GIS applications in Geoscience. Applied Computing and Geosciences, 11, 100065. https://doi.org/10.1016/j.acags.2021.100065
- Tamiru, H., & Wagari, M. (2021). Evaluation of data-driven model and GIS technique performance for identification of Groundwater Potential Zones: A case of Fincha Catchment, Abay Basin, Ethiopia. Journal of Hydrology: Regional Studies, 37(July), 100902. https://doi.org/10.1016/j.ejrh.2021.100902
- Turek, T., & Stepniak, C. (2021). Areas of integration of GIS technology and smart city tools. Research findings. Procedia Computer Science, 192, 4681–4690. https://doi.org/10.1016/j.procs.2021.09.246
- Villacreses, G., Martínez-Gómez, J., Jijón, D., & Cordovez, M. (2022). Geolocation of photovoltaic farms using Geographic Information Systems (GIS) with Multiple-criteria decision-making (MCDM) methods: Case of the Ecuadorian energy regulation. Energy Reports, 8, 3526–3548. https://doi.org/10.1016/j.egyr.2022.02.152
- Wu, X., Xu, C., Xu, X., Chen, G., Zhu, A., Zhang, L., Yu, G., & Du, K. (2022). A Web-GIS hazards information system of the 2008 Wenchuan Earthquake in China. Natural Hazards Research, 2(3), 210–217. https://doi.org/10.1016/j.nhres.2022.03.003
- Xiao, Y., Yan, Y., Yu, Y. S., Wang, B., & Liang, Y. H. (2022). Research on pose adaptive correction method of indoor rail mounted inspection robot in GIS Substation. Energy Reports, 8, 696–705. https://doi.org/10.1016/j.egyr.2022.03.155
- Yousef, G. A., Elazony, M. A., Abdelsattar, A., Sewailam, M. M., & Elsaid, O. H. (2022). Applying an integrated Remote Sensing-GIS approach in the documentation of handicraft centers at New Valley Governorate, Egypt. Egyptian Journal of Remote Sensing and Space Science, 25(3), 731–739. https://doi.org/10.1016/j.ejrs.2022.04.004
- Yudhana, A., Sulistyo, D., & Mufandi, I. (2021). GIS-based and Naïve Bayes for nitrogen soil mapping in Lendah, Indonesia. Sensing and Bio-Sensing Research, 33, 100435. https://doi.org/10.1016/j.sbsr.2021.100435
- Zhang, S., Liu, X., Li, R., Wang, X., Cheng, J., Yang, Q., & Kong, H. (2021). AHP-GIS and MaxEnt for delineation of potential distribution of Arabica coffee plantation under future climate in Yunnan, China. Ecological Indicators, 132, 108339. https://doi.org/10.1016/j.ecolind.2021.108339
References
Ahmed, H. G. I., Mohamed, M. H., & Saleh, S. S. (2021). A GIS model for exploring the water pumped storage locations using remote sensing data. Egyptian Journal of Remote Sensing and Space Science, 24(3), 515–523. https://doi.org/10.1016/j.ejrs.2021.09.006
Al-Bahrani, H. S., Al-Rammahi, A. H., Al-Mamoori, S. K., Al-Maliki, L. A., & AL-Ansari, N. (2022). Groundwater detection and classification using remote sensing and GIS in Najaf, Iraq. Groundwater for Sustainable Development, 19, 100838. https://doi.org/10.1016/j.gsd.2022.100838
AlHamaydeh, M., Al-Shamsi, G., Aly, N., & Ali, T. (2021). Seismic risk quantification and GIS-based seismic risk maps for Dubai-UAE_Dataset. Data in Brief, 39, 107566. https://doi.org/10.1016/j.dib.2021.107566
Aljenaid, S., Abido, M., Redha, G. K., AlKhuzaei, M., Marsan, Y., Khamis, A. Q., Naser, H., AlRumaidh, M., & Alsabbagh, M. (2022). Assessing the spatiotemporal changes, associated carbon stock, and potential emissions of mangroves in Bahrain using GIS and remote sensing data. Regional Studies in Marine Science, 52, 102282. https://doi.org/10.1016/j.rsma.2022.102282
Alqahtany, A. (2023). GIS-based assessment of land use for predicting increase in settlements in Al Ahsa Metropolitan Area, Saudi Arabia for the year 2032. Alexandria Engineering Journal, 62, 269–277. https://doi.org/10.1016/j.aej.2022.07.020
Bedair, S., Sayed, S. A., & AlMetwaly, W. M. (2022). Enhancing Hybrid Learning using Open Source GIS-Based Maps Archiving System. Egyptian Journal of Remote Sensing and Space Science, 25(3), 779–793. https://doi.org/10.1016/j.ejrs.2022.07.003
Çetinkaya, C., Erbaş, M., Kabak, M., & Özceylan, E. (2023). A mass vaccination site selection problem: An application of GIS and entropy-based MAUT approach. Socio-Economic Planning Sciences, 85(May). https://doi.org/10.1016/j.seps.2022.101376
Chowdhury, M. S., & Hafsa, B. (2022). Multi-decadal land cover change analysis over Sundarbans Mangrove Forest of Bangladesh: A GIS and remote sensing based approach. Global Ecology and Conservation, 37(May), e02151. https://doi.org/10.1016/j.gecco.2022.e02151
Chukwuma, E. C., Okonkwo, C. C., Ojediran, J. O., Anizoba, D. C., Ubah, J. I., & Nwachukwu, C. P. (2021). A Gis Based Flood Vulnerability Modelling Of Anambra State Using An Integrated Ivfrn-Dematel-Anp Model. Heliyon, 7(9), e08048. https://doi.org/10.1016/j.heliyon.2021.e08048
Desalegn, H., & Mulu, A. (2021). Mapping flood inundation areas using GIS and HEC-RAS model at Fetam River, Upper Abbay Basin, Ethiopia. Scientific African, 12, e00834. https://doi.org/10.1016/j.sciaf.2021.e00834
Dhinsa, D., Tamiru, F., & Tadesa, B. (2022). Groundwater potential zonation using VES and GIS techniques: A case study of Weserbi Guto catchment in Sululta, Oromia, Ethiopia. Heliyon, 8(8), e10245. https://doi.org/10.1016/j.heliyon.2022.e10245
El-Hadidy, S. M., & Morsy, S. M. (2022). Expected spatio-temporal variation of groundwater deficit by integrating groundwater modeling, remote sensing, and GIS techniques. Egyptian Journal of Remote Sensing and Space Science, 25(1), 97–111. https://doi.org/10.1016/j.ejrs.2022.01.001
Elbeih, S. F. (2021). Evaluation of agricultural expansion areas in the Egyptian deserts: A review using remote sensing and GIS. Egyptian Journal of Remote Sensing and Space Science, 24(3P2), 889–906. https://doi.org/10.1016/j.ejrs.2021.10.004
Elboshy, B., Alwetaishi, M., M. H. Aly, R., & Zalhaf, A. S. (2022). A suitability mapping for the PV solar farms in Egypt based on GIS-AHP to optimize multi-criteria feasibility. Ain Shams Engineering Journal, 13(3), 101618. https://doi.org/10.1016/j.asej.2021.10.013
Endayani, S., Sadono, R., Kusumandari, A., & Hartono. (2019). Social and economic vulnerability in the sub-watershed of Karang mumus, East Kalimantan Province. Jurnal Manajemen Hutan Tropika, 25(2), 93–103. https://doi.org/10.7226/jtfm.25.2.93
Endayani, S., Sadono, R., Kusumandari, A., Hartono, & Baiquni, M. (2022). Horizontal and Vertical Geometric Accuracy of Agisoft Photoscan and Pix4D Mapper Softwares at Kebun Raya Universitas Mulawarman in Samarinda, East Kalimantan, Indonesia. International Journal on Advanced Science, Engineering and Information Technology, 12(5), 2132–2139. https://doi.org/10.18517/ijaseit.12.5.16362
Endayani, S., Stefano, A., Fathiah, Hamka, & Lisnawati, A. (2023). Forest Land Change Assessment of Karang Mumus Sub-Watershed Area. Jurnal Manajemen Hutan Tropika, 29(1), 35–44. https://doi.org/10.7226/jtfm.29.1.35
Endayani, S., Stefano, A., Fathiah, Purbawati, & Rosanti, I. (2022). Monitoring Forest Area Change Using Quickbird. Biotropia, 29(2), 161–170. https://doi.org/10.11598/btb.2022.29.2.1690
Erdem, F., Atun, R., Yigit Avdan, Z., Atila, I., & Avdan, U. (2021). Drought analysis of Van Lake Basin with remote sensing and GIS technologies. Egyptian Journal of Remote Sensing and Space Science, 24(3), 1093–1102. https://doi.org/10.1016/j.ejrs.2021.10.006
Ghoneim, S. M., Yehia, M. A., Salem, S. M., & Ali, H. F. (2022). Integrating remote sensing data, GIS analysis and field studies for mapping alteration zones at Wadi Saqia area, central Eastern Desert, Egypt. Egyptian Journal of Remote Sensing and Space Science, 25(1), 323–336. https://doi.org/10.1016/j.ejrs.2022.02.001
Gupta, L., Agrawal, N., Dixit, J., & Dutta, S. (2022). A GIS-based assessment of active tectonics from morphometric parameters and geomorphic indices of Assam Region, India. Journal of Asian Earth Sciences: X, 8(July 2021), 100115. https://doi.org/10.1016/j.jaesx.2022.100115
Gürtekin, E., & Gökçe, O. (2021). Estimation of erosion risk of Harebakayiş sub-watershed, Elazig, Turkey, using GIS based RUSLE model. Environmental Challenges, 5(June). https://doi.org/10.1016/j.envc.2021.100315
Isihak, S., Akpan, U., & Bhattacharyya, S. (2022). Evolution of GIS-based rural electrification planning models and an application of OnSSET in Nigeria. Renewable and Sustainable Energy Transition, 2(May 2021), 100019. https://doi.org/10.1016/j.rset.2022.100019
Khalil, N., Mhanna, M., & Assaf, E. H. (2021). Horizontal corridor optimization of highway using GIS & CFSC method in mountainous areas. Egyptian Journal of Remote Sensing and Space Science, 24(3), 509–514. https://doi.org/10.1016/j.ejrs.2021.08.008
Kumar, M., Singh, P., & Singh, P. (2022). Integrating GIS and remote sensing for delineation of groundwater potential zones in Bundelkhand Region, India. Egyptian Journal of Remote Sensing and Space Science, 25(2), 387–404. https://doi.org/10.1016/j.ejrs.2022.03.003
Larkin, A., Gu, X., Chen, L., & Hystad, P. (2021). Predicting perceptions of the built environment using GIS, satellite and street view image approaches. Landscape and Urban Planning, 216, 104257. https://doi.org/10.1016/j.landurbplan.2021.104257
Li, S., Zhang, M., Yuan, F., Li, X., Wang, C., Long, J., & Jiao, J. (2022). Isotope spatiotemporal analysis and prospecting indication based on GIS in Tibet. Ore Geology Reviews, 147(May), 104997. https://doi.org/10.1016/j.oregeorev.2022.104997
Li, W., Winter, P. L., Milburn, L. A., & Padgett, P. E. (2021). A dual-method approach toward measuring the built environment - sampling optimization, validity, and efficiency of using GIS and virtual auditing. Health and Place, 67, 102482. https://doi.org/10.1016/j.healthplace.2020.102482
Liu, H., Zhang, Z., Chen, T., Yang, J., Li, Q., & He, D. (2021). Simplified Modelling of Transient Ground Potential Rise of GIS in Ultra-high-voltage Substations with Hybrid Reactive Power Compensation. Electric Power Systems Research, 199(51507095), 107441. https://doi.org/10.1016/j.epsr.2021.107441
Liu, Q., Zhai, G., & Lu, X. (2021). Integrated land-sea surveying and mapping of intertidal zone based on high-definition remote sensing images and GIS technology. Microprocessors and Microsystems, 82(January), 103937. https://doi.org/10.1016/j.micpro.2021.103937
Lumbreras, M., Diarce, G., Martin-Escudero, K., Campos-Celador, A., & Larrinaga, P. (2022). Design of district heating networks in built environments using GIS: A case study in Vitoria-Gasteiz, Spain. Journal of Cleaner Production, 349(August 2021), 131491. https://doi.org/10.1016/j.jclepro.2022.131491
Massano, M., Macii, E., Lanzini, A., Patti, E., & Bottaccioli, L. (2023). A GIS Open-Data Co-Simulation Platform for Photovoltaic Integration in Residential Urban Areas. Engineering, 26, 198–213. https://doi.org/10.1016/j.eng.2022.06.020
Murugesan, M., Venkatesan, P., Kumar, S., Thangavelu, P., Rose, W., John, J., Castro, M., Manivannan, T., Mohan, V. R., & Rupali, P. (2022). Epidemiological investigation of the COVID-19 outbreak in Vellore district in South India using Geographic Information Surveillance (GIS). International Journal of Infectious Diseases, 122, 669–675. https://doi.org/10.1016/j.ijid.2022.07.010
Pepe, M., Costantino, D., Alfio, V. S., Restuccia, A. G., & Papalino, N. M. (2021). Scan to BIM for the digital management and representation in 3D GIS environment of cultural heritage site. Journal of Cultural Heritage, 50, 115–125. https://doi.org/10.1016/j.culher.2021.05.006
Quan, S. J., & Bansal, P. (2021). A systematic review of GIS-based local climate zone mapping studies. Building and Environment, 196(November 2020), 107791. https://doi.org/10.1016/j.buildenv.2021.107791
Stefano, A., Endayani, S., & Sadono, R. (2021). Combining the Traditional and Modern Architecture in Taman Samarendah Plan, Samarinda City, East Kalimantan Province, Indonesia. International Journal on Advanced Science, Engineering and Information Technology, 11(2), 705–711. https://doi.org/10.18517/ijaseit.11.2.8341
Taloor, A. K., Adimalla, N., & Goswami, A. (2021). Remote Sensing and GIS applications in Geoscience. Applied Computing and Geosciences, 11, 100065. https://doi.org/10.1016/j.acags.2021.100065
Tamiru, H., & Wagari, M. (2021). Evaluation of data-driven model and GIS technique performance for identification of Groundwater Potential Zones: A case of Fincha Catchment, Abay Basin, Ethiopia. Journal of Hydrology: Regional Studies, 37(July), 100902. https://doi.org/10.1016/j.ejrh.2021.100902
Turek, T., & Stepniak, C. (2021). Areas of integration of GIS technology and smart city tools. Research findings. Procedia Computer Science, 192, 4681–4690. https://doi.org/10.1016/j.procs.2021.09.246
Villacreses, G., Martínez-Gómez, J., Jijón, D., & Cordovez, M. (2022). Geolocation of photovoltaic farms using Geographic Information Systems (GIS) with Multiple-criteria decision-making (MCDM) methods: Case of the Ecuadorian energy regulation. Energy Reports, 8, 3526–3548. https://doi.org/10.1016/j.egyr.2022.02.152
Wu, X., Xu, C., Xu, X., Chen, G., Zhu, A., Zhang, L., Yu, G., & Du, K. (2022). A Web-GIS hazards information system of the 2008 Wenchuan Earthquake in China. Natural Hazards Research, 2(3), 210–217. https://doi.org/10.1016/j.nhres.2022.03.003
Xiao, Y., Yan, Y., Yu, Y. S., Wang, B., & Liang, Y. H. (2022). Research on pose adaptive correction method of indoor rail mounted inspection robot in GIS Substation. Energy Reports, 8, 696–705. https://doi.org/10.1016/j.egyr.2022.03.155
Yousef, G. A., Elazony, M. A., Abdelsattar, A., Sewailam, M. M., & Elsaid, O. H. (2022). Applying an integrated Remote Sensing-GIS approach in the documentation of handicraft centers at New Valley Governorate, Egypt. Egyptian Journal of Remote Sensing and Space Science, 25(3), 731–739. https://doi.org/10.1016/j.ejrs.2022.04.004
Yudhana, A., Sulistyo, D., & Mufandi, I. (2021). GIS-based and Naïve Bayes for nitrogen soil mapping in Lendah, Indonesia. Sensing and Bio-Sensing Research, 33, 100435. https://doi.org/10.1016/j.sbsr.2021.100435
Zhang, S., Liu, X., Li, R., Wang, X., Cheng, J., Yang, Q., & Kong, H. (2021). AHP-GIS and MaxEnt for delineation of potential distribution of Arabica coffee plantation under future climate in Yunnan, China. Ecological Indicators, 132, 108339. https://doi.org/10.1016/j.ecolind.2021.108339