Abstract
Monitoring changes in vegetation cover is important for the restoration of ecosystems in the Gorontalo Regency area. The utilization of remote sensing technology makes it possible to detect the dynamics of changes in vegetation cover spatially and temporally. The Terra MODIS satellite image collection in the study area is available in large numbers and sizes. Therefore, cloud computing-based spatial technology support is needed. Google Earth Engine (GEE) as a geospatial computing device is an alternative to cover this shortfall. The aim of this study is to explore the condition of vegetation cover spatially and temporally using the GEE platform. A total of 43 MODIS images in the study area, recording periods 2000 and 2020, were used to quickly and effectively generate vegetation cover maps. The process of downloading, processing, and analyzing data was automated through the GEE interface. The results of the mapping in 2000 and 2020 are shown by maps of vegetation cover in two classes, namely; vegetation and non-vegetation. The accuracy of the vegetation cover map shows good results, namely an overall accuracy of 0.81 for 2000 and 0.85 for 2020. The area of the non-vegetation class increased by 2815.29 ha, and the vegetation class decreased by 2767.31 ha. The map of spatial changes in vegetation cover in the study area is classified into three classes, namely revegetation, devegetation, and unchanged. Based on these results, the extraction of vegetation cover changes in the study area using the GEE platform can be carried out well.
Highlights
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Monitoring changes in vegetation cover is important for the restoration of ecosystems in the Gorontalo Regency area
The utilization of remote sensing technology makes it possible to detect the dynamics of changes in vegetation cover spatially and temporally
Summary
Vegetasi merupakan bagian ekosistem global yang merupakan unsur penting untuk mendukung kelangsungan hidup di bumi. Kajian mengenai perubahan tutupan vegetasi sangat penting untuk mengevaluasi kondisi hidrologi dan ekologi di wilayah Kabupaten Gorontalo. Pemetaan perubahan tutupan vegetasi dapat diketahui melalui implementasi metode indeks vegetasi pada data penginderaan jauh. Terdapat sejumlah penelitian yang telah dilakukan untuk mengidentifikasi perubahan tutupan vegetasi melalui pemanfaatan data citra satelit Argumen yang melandasi penelitian ini adalah satelit penginderaan jauh (Terra) telah merekam perubahan vegetasi di seluruh permukaan bumi, setiap satu sampai dua hari (NASA, 2021), termasuk wilayah Kabupaten Gorontalo. Penelitian ini bertujuan untuk menginvestigasi perubahan tutupan vegetasi yang terjadi di Kabupaten Gorontalo dalam kurun waktu 21 tahun. Identifikasi perubahan tutupan vegetasi dilakukan dengan menerapkan metode indeks vegetasi pada data MODIS Tahun 2000 dan 2020 di wilayah kajian. Otomatisasi prosedur dikembangkan melalui antarmuka GEE, untuk menghasilkan peta sebaran tutupan vegetasi dan peta perubahan tutupan vegetasi selama tahun pengamatan
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