Monitoring Variasi Spasial dan Temporal Genangan Danau Limboto Selama 2000-2015 Menggunakan Citra Modis dan Google Earth Engine

Rakhmat Jaya Lahay

Abstract


Changes in the Limboto Lake area can be monitored using remote sensing technology. Satellite imagery provides data regarding the surface area of the lake over a long period of time. However, conventional methods require large resources to process and analyze large remote sensing image data. This study utilizes geospatial information technology with the support of cloud computing to overcome these obstacles. The purpose of this study is to determine the inundation area of Lake Limboto from 2000 to 2015 and to analyze the trend of changes in inundation area over a 16 years period. The experimental results show a map of spatial and temporal changes in the inundation of Lake Limboto over 16 years. The trend of changes in the inundation area of Lake Limboto shows a decrease of 56.56 Ha every year. Further research needs to involve other factors such as rainfall and vegetation cover to see the effect of the inundation area of Lake Limboto.

Keywords


Lake Limboto, MODIS, Earth Engine

Full Text:

PDF

References


Amani, M., Ghorbanian, A., Ahmadi, S. A., Kakooei, M., Moghimi, A., Mirmazloumi, S. M., Moghaddam, S. H. A., Mahdavi, S., Ghahremanloo, M., Parsian, S., Wu, Q., & Brisco, B. (2020). Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 5326–5350. https://doi.org/10.1109/JSTARS.2020.3021052

Carroll, M., DiMiceli, C., Wooten, M., Hubbard, A., Sohlberg, R., & Townshend, J. (2017). MOD44W MODIS/Terra Land Water Mask Derived from MODIS and SRTM L3 Global 250m SIN Grid V006 [Data set]. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MOD44W.006

Dörnhöfer, K., & Oppelt, N. (2016). Remote sensing for lake research and monitoring – Recent advances. Ecological Indicators, 64, 105–122. https://doi.org/10.1016/j.ecolind.2015.12.009

Eraku, S., Akase, N., & Koem, S. (2019). Analyzing Limboto lake inundation area using landsat 8 OLI imagery and rainfall data. Journal of Physics: Conference Series, 1317(1), 012111. https://doi.org/10.1088/1742-6596/1317/1/012111

Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 202, 18–27. https://doi.org/10.1016/j.rse.2017.06.031

Julzarika, A., & Dewi, E. K. (2019). Perubahan Kondisi Danau Limboto yang Terdeteksi dengan Teknologi Penginderaan Jauh. Jurnal Segara, 14(3), 179–187. https://doi.org/10.15578/segara.v14i3.6756

Koem, S., & Rusiyah, R. (2018). Spatiotemporal Characteristics of Meteorological Drought in Gorontalo Regency in 1981- 2016. Jurnal Pengelolaan Sumberdaya Alam Dan Lingkungan (Journal of Natural Resources and Environmental Management), 8(3), 355–364. https://doi.org/10.29244/jpsl.8.3.355-364

Koto, A. G., Pakaya, S., Melangi, M., Fakultas, G., Dan, S., Universitas, T., Gorontalo, M., Geografi, A., Sains, F., Universitas, D. T., & S1, M. (2016). Pemantauan Luas Danau Limboto Menggunakan Citra Multi Temporal Dan Multi Sensor. 2014, 83–91.

Kumar, L., & Mutanga, O. (2018). Google Earth Engine Applications Since Inception: Usage, Trends, and Potential. Remote Sensing, 10(10), 1509. https://doi.org/10.3390/rs10101509

Lahay, R. J., & Koem, S. (2021a). Google earth engine and landsat data for detecting inundation changes in Limboto lake. IOP Conference Series: Earth and Environmental Science, 739(1), 012087. https://doi.org/10.1088/1755-1315/739/1/012087

Lahay, R. J., & Koem, S. (2021b). Ekstraksi Perubahan Tutupan Vegetasi Di Kabupaten Gorontalo Menggunakan Google Earth Engine. Jambura Geoscience Review, 4(1), 11–21. https://doi.org/10.34312/jgeosrev.v4i1.12086

Lahay, R. J., & Koem, S. (2022). Spatiotemporal mapping of inundation area at Lake Limboto in Gorontalo, Indonesia, using cloud computing technology. Journal of Water and Land Development, 52, 27–33. https://doi.org/10.24425/jwld.2021.139940

Mostafa, M. M., & Soussa, H. K. (2006). Monitoring of lake Nasser using remote sensing and GIS techniques. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 36.

Mutowo, G. (2020). Remote sensing lake level fluctuations in response to a changing climate. Journal of Water and Climate Change, 11(1). https://doi.org/10.2166/wcc.2018.122

Suwargana, N. (2012). Pemantauan Kualitas Danau Limboto Berbasis Data Landsat Dan Spot 4 Selama Periode 1989-2010. SamiKar Nasional Limnologi VI 2012.

Tamiminia, H., Salehi, B., Mahdianpari, M., Quackenbush, L., Adeli, S., & Brisco, B. (2020). Google Earth Engine for geo-big data applications: A meta-analysis and systematic review. ISPRS Journal of Photogrammetry and Remote Sensing, 164(May), 152–170. https://doi.org/10.1016/j.isprsjprs.2020.04.001




DOI: https://doi.org/10.34312/jage.v1i2.17956

Refbacks

  • There are currently no refbacks.




Copyright (c) 2022 Author

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.