Monitoring Urban Expansion and Loss of Agriculture on the North Coast of West Java Province, Indonesia, Using Google Earth Engine and Intensity Analysis

Author:

Gandharum Laju12ORCID,Hartono Djoko Mulyo13ORCID,Karsidi Asep14,Ahmad Mubariq1

Affiliation:

1. School of Environmental Science, Universitas Indonesia (UI), Jl. Salemba Raya No. 4, Kampus UI Salemba, Jakarta Pusat, Jakarta 10430, Indonesia

2. Center of Regional Resources Development Technology (PTPSW), National Research and Innovation Agency (BRIN), Lantai 2, Gedung Geostech 820, Kawasan Puspiptek, Serpong, Tangerang Selatan, Banten 15314, Indonesia

3. Environmental Engineering Study Program, Faculty of Engineering, Universitas Indonesia (UI), Kampus Baru UI, Depok 16424, Indonesia

4. Department of Geography, Faculty Mathematics and Natural Sciences, Universitas Indonesia (UI), Kampus Baru UI, Depok 16424, Indonesia

Abstract

Uncontrolled urban expansion resulting from urbanization has a disastrous impact on agricultural land. This situation is being experienced by the densely populated and fertile island Java in Indonesia. Remote sensing technologies have developed rapidly in recent years, including the creation of Google Earth Engine (GEE). Intensity analysis (IA) is increasingly being used to systematically and substantially analyze land-use/land-cover (LULC) change. As yet, however, no study of land conversion from agriculture to urban areas in Indonesia has adopted GEE and IA approaches simultaneously. Therefore, this study aims to monitor urban penetration to agricultural land in the north coastal region of West Java Province by applying both methods to two time intervals: 2003–2013 and 2013–2020. Landsat data and a robust random forest (RF) classifier available in GEE were chosen for producing LULC maps. Monitoring LULC change using GEE and IA has demonstrated reliable findings. The overall accuracy of Landsat image classification results for 2003, 2013, and 2020 were 88%, 87%, and 88%, respectively. IA outputs at interval levels for all categories showed that the annual change-of-area rate was higher during 2013–2020 than during 2003–2013. At the category level, IA results showed that the area of agricultural land experienced net losses in both periods, with net loss in 2013–2020 being 2.3 times greater than that in 2003–2013 (∼1,850 ha per year). In contrast, the built-up area made net gains in both periods, reaching almost twice as much in the second period as in the first (∼2,030 ha per year). The transition-level IA performed proved that agricultural land had been the primary target for the expansion of built-up areas. The most extensive spatial distribution of land conversion from agriculture to built-up area was concentrated in the regencies of Bekasi, Karawang, and Cirebon. These findings are intended to provide stakeholders with enrichment in terms of available literature and with valuable inputs useful for identifying better urban and regional planning policies in Indonesia and similar regions.

Funder

Directorate of Research and Community Service, the University of Indonesia

Publisher

Hindawi Limited

Subject

General Environmental Science,General Biochemistry, Genetics and Molecular Biology,General Medicine

Reference59 articles.

1. Land Cover Mapping Analysis and Urban Growth Modelling Using Remote Sensing Techniques in Greater Cairo Region—Egypt

2. The impact of urban expansion on agricultural land use changes in Aligarh, Uttar Pradesh, India;S. Khan

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