Land Use and Land Cover (LULC) Change in Eastern Areas of East Java From 1972 To 2021: Learning From Landsat Image

Authors

  • Marga Mandala University of Jember
  • Indarto Indarto University of Jember
  • Ach. Fauzan Mas'udi University of Jember
  • Akhmad Andi Saputra University of Jember

DOI:

https://doi.org/10.23960/jtep-l.v12i4.1022-1035

Abstract

Urban development, population growth, high traffic jams, and intensive disaster events are indicators of changing the landscape of the eastern area of East Java. Investigating these changes is vital for planning and environmental protection in the future. This study examines changes in land use and land cover (LULC) during the past 50 years in the eastern part of East Java from 1972 to 2021. The changes are examined by contrasting four maps derived from Landsat images (1972, 1997, 2013, and 2021). The following are the main study procedures: (1) data inventory, (2) field survey, (3) image processing and classification, and (4) interpretation of LULC changes. With Google Earth Engine, all photos are downloaded (GEE). Landsat image classification was completed using the maximum likelihood algorithm with an overall Kappa accuracy of>85%. Eight (8) major classifications are therefore produced by the classification: (1) the pavement or urban area (PUA); (2) heterogeneous agricultural land (HAL); (3) bare soil (BS); (4) paddy field (PF); (5) open water body (OWB); (6) vegetation/plantation (VG); (7) shrubland (SL); and (8) wetlands (WL). In the areas with rapid development, the LULC change is more pronounced, i.e., Pasuruan, Jember, and Banyuwangi Regencies. LULC change in and near mid-regency and the rural regions comes next. Over the past fifty years, regional growth has resulted in increases in PUA (+4.4 percent), PF (+12.2 percent), and VG (+17.9 percent). On the other hand, the development has decreased SL, BS, and HAL by 5.8 and 15.9 percent, respectively (-13.1 percent ). LULC alterations for human activities have profoundly altered the natural landscape.

 

Keywords:  East Java, GEE, Image Processing, Landsat, LULC

References

Agustini, T., & Winarni, R. (2014). Industrialisasi di Kabupaten Pasuruan Tahun 1992-2007. Publika Budaya, 2(1), 78–84.

Ahmed, I. M., & Alla, E. M. A. (2019). Land use impact on environment of Tuti Island, Sudan. Geography, Environment, Sustainability, 12(3), 27–33. https://doi.org/10.24057/2071-9388-2018-13

Alfiyan, B., Santoso, P., & Darmawan, R. N. (2023). Implementasi ASEAN Tourism Strategic ( ATSP ) Plan dalam Kebijakan Pengembangan Sektor Pariwisata di Kabupaten Banyuwangi. 6(1), 1–13.

Amanda, Y. Y., Sukamto, S., & Towaf, S. M. (2021). Peran Pasuruan Industrial Estate Rembang (PIER) terhadap kehidupan masyarakat (sosial-ekonomi) Desa Mojoparon Kecamatan Rembang Kabupaten Pasuruan. Jurnal Integrasi Dan Harmoni Inovatif Ilmu-Ilmu Sosial, 1(3), 285–292. https://doi.org/10.17977/um063v1i3p285-292

Astuti, I. S., Sahoo, K., Milewski, A., & Mishra, D. R. (2019). Impact of Land Use Land Cover (LULC) Change on Surface Runoff in an Increasingly Urbanized Tropical Watershed. Water Resources Management, 33(12), 4087–4103. https://doi.org/10.1007/s11269-019-02320-w

BPS. (1972). Jawa Timur dalam Angka 1971. Badan Pusat Statistik Provinsi Jawa Timur.

BPS Jawa Timur. (2017). Provinsi Jawa Timur dalam Angka. Jawa Timur Province in Figures 2017. Badan Pusat Statistik Provinsi Jawa Timur.

BPS Jawa Timur. (2022). Jawa Timur in Figure 2022. In BPS Jawa Timur (Vol. 0, Issue 0). Badan Pusat Statistik Provinsi Jawa Timur.

BSN. (2014). Standar Nasional Indonesia (SNI) 7645:2014 tentang Klasifikasi Penutup Lahan. 28.

Central Agency on Statistics. (2021). Jember Regency in Figures 2021. 24–26.

Congedo, L. (2017). Semi-Automatic Classification Plugin Semi-Automatic Classification Plugin Documentation. In Scp (Issue September 03, 2016, p. 3,159,160,154,159,206). https://doi.org/10.13140/RG.2.2.29474.02242/1

Dastgerdi, A. S., Sargolini, M., Pierantoni, I., & Stimilli, F. (2019). Toward An Innovative Strategic Approach For Sustainable Management Of Natural Protected Areas In Italy. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY. https://doi.org/10.24057/2071-9388-2019-143

Firmansyah, F., Pratomoatmojo, N. A., Kurniawati, U. F., Susetyo, C., Pamungkas, A., & Idajati, H. (2018). Sustainable agricultural land use determination modelling in Banyuwangi. IOP Conference Series: Earth and Environmental Science, 202(1). https://doi.org/10.1088/1755-1315/202/1/012046

Fonji, S. F., & Taff, G. N. (2014). Using satellite data to monitor land-use land-cover change in North-eastern Latvia. SpringerPlus, 3(1), 1–15. https://doi.org/10.1186/2193-1801-3-61

Foody, G. (2008). Harshness in image classification accuracy assessment. International Journal of Remote Sensing, 29(11), 3137–3158. https://doi.org/10.1080/01431160701442120

Foody, G. M. (2004). Thematic map comparison: Evaluating the statistical significance of differences in classification accuracy. In Photogrammetric Engineering and Remote Sensing (Vol. 70, Issue 5, pp. 627–633). American Society for Photogrammetry and Remote Sensing. https://doi.org/10.14358/PERS.70.5.627

Hassen, E. E., & Assen, M. (2018). Land use/cover dynamics and its drivers in Gelda catchment, Lake Tana watershed, Ethiopia. Environmental Systems Research, 6(1). https://doi.org/10.1186/s40068-017-0081-x

Indarto, I., & Hakim, F. L. (2021). Tracking Land Use Land Cover changes from 2000 to 2018 in a local area of East Java Province, Indonesia. Bulletin of Geography. Socio-Economic Series, 52(52), 7–24. https://doi.org/10.2478/bog-2021-0010

Islami, F. A., Tarigan, S. D., Wahjunie, E. D., & Dasanto, B. D. (2022). Accuracy Assessment of Land Use Change Analysis Using Google Earth in Sadar Watershed Mojokerto Regency. IOP Conference Series: Earth and Environmental Science, 950(1). https://doi.org/10.1088/1755-1315/950/1/012091

Klimanova, O., Naumov, A., Greenfieldt, Y., Prado, R. B., & Tretyachenko, D. (2017). Recent regional trends of land use and land cover transformations in Brazil. Geography, Environment, Sustainability, 10(4), 98–116. https://doi.org/10.24057/2071-9388-2017-10-4-98-116

Klyuev, N. N. (2019). The spatial analyses of natural resources use in Russia for 1990-2017. Geography, Environment, Sustainability, 12(4), 203–211. https://doi.org/10.24057/2071-9388-2018-65

Landgrebe, D. (2015). MultiSpec Tutorial: Supervised Classification-Select Training Fields.

Landgrebe, D., & Biehl, L. (2018). MultiSpec (C). School of Electrical and Computer Engineering Purdue University.

Åucka, D. (2018). How to build a community. New Urbanism and its critics. Urban Development Issues, 59(1), 17–26. https://doi.org/https://doi.org/10.2478/udi-2018-0025

Mangmeechai, A. (2020). Effects of rubber plantation policy on water resources and landuse change in the Northeastern region of Thailand. Geography, Environment, Sustainability, 13(2), 73–83. https://doi.org/10.24057/2071-9388-2019-145

Mtibaa, S., & Irie, M. (2016). Land cover mapping in cropland dominated area using information on vegetation phenology and multi-seasonal Landsat 8 images. Euro-Mediterranean Journal for Environmental Integration, 1(1). https://doi.org/10.1007/s41207-016-0006-5

Nainggolan, H., Wardhani, N. W. S., Leksono, A. S., & Santoso, I. (2021). Readiness Assessment of Pasuruan Industrial Estate Rembang (PIER) Towards Sustainable Industrial Estate. Jurnal Sumberdaya Alam Dan Lingkungan, 8(3), 102–106. https://doi.org/10.21776/ub.jsal.2021.008.03.1

Nguyen, L. B. (2020). Land cover change detection in northwestern Vietnam using Landsat images and Google Earth Engine. Journal of Water and Land Development, No 46, 162–169.

Permatasari, P. A., Fatikhunnada, A., Liyantono, Setiawan, Y., Syartinilia, & Nurdiana, A. (2016). Analysis of Agricultural Land Use Changes in Jombang Regency, East Java, Indonesia Using BFAST Method. Procedia Environmental Sciences, 33, 27–35. https://doi.org/10.1016/j.proenv.2016.03.053

Pouliot, D., & Latifotic, R. (2018). Reconstruction of Landsat Time Series in the Presence of Irregular and Sparse Observations: Development and Assessment in North-eastern Alberta, Canada. Remote Sensing of Environment, 204(1), 979–996.

Prayitno, G., Sari, N., Hasyim, A. W., & Nyoman Widhi, S. W. (2020). Land-use prediction in Pandaan District pasuruan regency. International Journal of GEOMATE, 18(65), 64–71. https://doi.org/10.21660/2020.65.41738

Priyadarshini, R., Hamzah, A., & Widjajani, B. W. (2019). Carbon Stock Estimates due to Land Cover Changes at Sumber Brantas Sub-Watershed, East Java. Caraka Tani: Journal of Sustainable Agriculture, 34(1), 1. https://doi.org/10.20961/carakatani.v34i1.27124

Ptak, M., & Åawniczak, A. E. (2012). Changes in land use in the buffer zone of lake of the MaÅ‚a WeÅ‚na catchment. Limnological Review, 12(1), 35–44. https://doi.org/https://doi.org/10.2478/v10194-011-0043-z

QGIS Development Team. (2019). QGIS Geographic Information System. Open Source Geospatial Foundation Project.

Regional Planning Agency. (2018). Academic Manuscripts of the East Java Provincial Spatial Planning 2011-2031. Regional Planning Agency. http://arsipjdih.jatimprov.go.id/upload/852/KEPGUB.NOMOR_472_.TAHUN_2014_.TENTANG_PENETAPAN_LOKASI_PEMBANGUNAN_FRONTAGE_ROAD_(JALAN_PENDAMPING)_WARU-BUDURAN_KABUPATEN_SIDOARJO_PROVINSI_JAWA_TIMUR_.pdf

Sujarwo, M. W., Indarto, I., & Mandala, M. (2021). The impact of land use and land cover change on hydrological processes in Brantas watershed, East Java, Indonesia. Kuwait Journal of Science. https://doi.org/10.48129/kjs.12711

Sunartomo, A. F. (2015). Alih Fungsi Lahan Pertanian dan Kebutuhan Pangan di Kabupaten Jember. JSEP (Journal of Social and Agricultural Economics), 8(2), 47–58.

Tseng, Tseng, & Chien. (2008). Automatic Cloud Removal from Multi-temporal SPOT Images. Applied Mathematics and Computation, 205(2).

Tsuchiya, K., & Oguro, Y. (2007). Observation of large fixed sand dunes of Taklimakan Desert using satellite imagery. Advances in Space Research, 39(1), 60–64. https://doi.org/10.1016/j.asr.2006.12.010

Viera, A. J., & Garrett, J. . (2005). nderstanding Interobserver Agreement: The Kappa Statistic. Family Medicine, 37, 360–363.

Wahyuni, N., Hasyim, A., & Soemarno, S. (2021). Dynamic of the Land Use and Land Cover Change in Banyuwangi Regency From 1995-2019. Jurnal Wasian, 8(2), 121–132. https://doi.org/10.20886/jwas.v8i2.6707

Wu, W., Ge, L., Luo, J., Huan, R., & Yang, Y. (2018). A spectral-temporal patch-based missing area reconstruction for time-series images. Remote Sensing, 10(10), 1–20. https://doi.org/10.3390/rs10101560

Zhou, Y., Wang, S., Wu, T., Feng, L., Wu, W., Luo, J., Zhang, X., & Yan, N. (2022). For-backward LSTM-based missing data reconstruction for time-series Landsat images. GIScience and Remote Sensing, 59(1), 410–430. https://doi.org/10.1080/15481603.2022.2031549

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Published

2023-12-25

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Vol. 12 No. 4 (2023): December 2023

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