Evidence map›Paper›PMID 35069036›Full record

ArticleTheScientificWorldJournal2022

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

Laju Gandharum, Djoko Mulyo Hartono, Asep Karsidi, Mubariq Ahmad

Abstract read
In one paragraph

Article in TheScientificWorldJournal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Laju GandharumSchool of Environmental Science, Universitas Indonesia (UI), Jl. Salemba Raya No. 4, Kampus UI Salemba, Jakarta Pusat, Jakarta 10430, Indonesia.ORCID https://orcid.org/0000-0002-8677-6891
Djoko Mulyo HartonoSchool of Environmental Science, Universitas Indonesia (UI), Jl. Salemba Raya No. 4, Kampus UI Salemba, Jakarta Pusat, Jakarta 10430, Indonesia.ORCID https://orcid.org/0000-0002-0326-9131
Asep KarsidiSchool of Environmental Science, Universitas Indonesia (UI), Jl. Salemba Raya No. 4, Kampus UI Salemba, Jakarta Pusat, Jakarta 10430, Indonesia.
Mubariq AhmadSchool of Environmental Science, Universitas Indonesia (UI), Jl. Salemba Raya No. 4, Kampus UI Salemba, Jakarta Pusat, Jakarta 10430, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID35069036
PMCPMC8769866

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.