Identification of Environmental Change in Bukit Kerang, Aceh Tamiang Regency Using Landsat Satellite Imagery


  • Sphinoza Lisnaria Simatupang Department of Physics, State University of Medan, Medan, Indonesia
  • Rahmatsyah Rahmatsyah Department of Physics, State University of Medan, Medan, Indonesia



Changes in land cover and temperature in Bukit Kerang have been investigated using Landsat satellite images. We used Landsat 5 TM Landsat satellite imagery in 1988, Landsat 7 ETM in 2000, and Landsat 8 OLI in 2020. The ENVI 4.7 and ArcGIS 10.3 software was used to perform radiometric corrections, image cropping, image classification, image reclassification, calculating area, and layouts. Changes in land cover and land area in 1988, 2000, and 2020 affected the surface temperature conditions in those three years. In 1988, the dominant land area of forest cover was 5,926.44 ha (1 ha = 104 m2), with the dominant temperature distribution of 17.2° C. In 2000, there was an increase in settlements by 25.56 ha and rice field area, which caused an increase in the temperature distribution of 19.7 – 25.4° C. In 2020, forest type land cover changes into plantations, fields, and settlements decreased by 3,731.91 ha, increasing temperature distribution of 20.6 – 21.8° C. Thus, there is a strong relationship between changes in land cover and change in surface temperature in Bukit Kerang area.


Download data is not yet available.


Balew, A., & Korme, T. (2020). Monitoring land surface temperature in Bahir Dar city and its surrounding using Landsat images. Egyptian Journal of Remote Sensing and Space Science, 23(3), 371–386.

Berutu, A., Hasibuan, J., Sakdiah, H., & Rahmatsyah. (2017). Study of Subsurface Early Detection of Archaeological Sites Based on Combination of Geoelectrical Methods with Geomagnetic Methods in Central Tapanuli. Jurnal Geliga Sains: Jurnal Pendidikan Fisika, 5(1), 8.

Jernih, H., & Rahmatsyah. (2019). The Existence Of The Bahal Ii Temple Site With Geomagnetic Methods. EINSTEIN (E-Journal).

Jiang, J., & Tian, G. (2010). Analysis of the impact of Land use/Land cover change on Land Surface Temperature with Remote Sensing. Procedia Environmental Sciences, 2(5), 571–575.

Karismawati, A., Sukmono, A., & Sasmito, B. (2019). Comparative Analysis of Dryness Identification of Rice Fields with Drought Index and Vegetation Index Methods on Landsat 8 Imagery (Case Study: Kendal Regency, Central Java). Jurnal Geodesi Undip, 8(4), 21–30.

Khafid, M. A. (2019). Correlation analysis of the impact of land cover change and ratio vehicles on the dynamic of land surface temperature: Case studies of Cirebon City, Province of West Java. IOP Conference Series: Earth and Environmental Science, 399(1).

Lv, Z. Q., & Zhou, Q. G. (2011). Utility of Landsat image in the study of land cover and land surface temperature change. Procedia Environmental Sciences, 10(PART B), 1287–1292.

Mishra, P. K., Rai, A., & Rai, S. C. (2020). Land use and land cover change detection using geospatial techniques in the Sikkim Himalaya, India. Egyptian Journal of Remote Sensing and Space Science, 23(2), 133–143.

Nandari, C., & Juliani, R. (2019). Determination Of The Under Surface Structure Of The Sitopayan Temple Area. EINSTEIN (E-Journal), 1–5.

Prasetya, T. A. E., Munawar, Taufik, M. R., Chesoh, S., Lim, A., & McNeil, D. (2019). Land Surface Temperatur Assessment in Central Sumatra, Indonesia. Indonesian Journal of Geography, 52(2), 239–245.

Putri, R. F., Budiman, L. S., Adalya, N. M., & Fauziyanti, N. U. (2019). Trend Analysis of Land Cover Changes, Population and Settlement Distribution to Land use Assessment in Kebumen Regency. Jurnal Geografi, 16(1), 25–31.

Rahmadani, N., & Juliani, R. (2019). Determination Of Seawater Intrusion Level Using The Geoelectric Method Of Wenner Schlumberger Configuration And Conductivity Timeter Configuration In The China City Site Area. EINSTEIN (E-Journal), 37–46.

Sampurno, R. M., & Thoriq, A. (2016). Land Cover Classification Using Landsat 8 Operational Land Imager (OLI) Images In Sumedang District. Journal Teknotan, 10.

Syam, T., Darmawan, A., Banuwa, I. S., & Ningsih, K. (2012). Use Of Satellite Imagery In Identifying Land Cover Changes. Globe, 14(2), 146–156.

Utomo, A. W., Suprayogi, A., & Sutomo, B. (2017). Analysis Of The Relation Between Land Surface Temperature Variations And Land Cover Classes Using Landsat Satellite Imagery Data (Case Study : Pati District). Jurnal Geodesi Undip, 6(2), 71–80.

Widyasamratri, H., Souma, K., & Suetsugi, T. (2019). Study of urban temperature profiles on the various land cover in the Jakarta Metropolitan Area, Indonesia. Indonesian Journal of Geography, 51(3), 357–363.

Wiguna, D. P. (2017). Identification of Soil Surface Temperature With Digital Number Conversion Method Using Remote Sensing Techniques And Geographic Information Systems. Jurnal Teknologi Informasi Dan Komunikasi, 6(2), 59–69.




How to Cite

Simatupang, S. L., & Rahmatsyah, R. (2021). Identification of Environmental Change in Bukit Kerang, Aceh Tamiang Regency Using Landsat Satellite Imagery. JURNAL ILMU FISIKA | UNIVERSITAS ANDALAS, 14(1), 1–9.



Research Article

Citation Check