Kuswantoro Marko
Universitas Indonesia

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Land Use/Land Cover Changes Using Landsat Imagery in The Upper Citarum Watershed, West Java, Province, Indonesia Kuswantoro Marko; Dwita Sutjiningsih; Eko Kusratmoko; Widjojo Adi Prakoso
International Journal of Remote Sensing and Earth Sciences Vol. 22 No. 1 (2025)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/ijreses.v22i1.13539

Abstract

The growth of the population and its activities, especially in the Upper Citarum Watershed (UCW) since the last decade has changed the condition of land that was originally vegetated into built-up land. Uncontrolled land use/land cover (LULC) changes in this watershed will certainly have an ecological and hydrological impact. Moreover, this watershed has a very vital role as a provider of agricultural products and water sources in three large reservoirs on the Java island, i.e. the Saguling, Cirata, and Jatiluhur reservoirs. The existence of these three reservoirs is very reliable in supplying electrical energy for the islands of Java and Bali. This study aims to determine changes in LULC over the last 30 years period (1990-2020). LULC information was obtained from analysis of Landsat imagery in 1990, 2000, 2010 and 2020. Supervised classification methods based on remote sensing and geographic information systems were applied to identify types and changes in LULC, i.e. forests, rice fields, dry farm land, bush-grass, mixed gardens, built-up land, and water bodies. The results showed that during the last 30 years there was a fairly high increase on built-up land (+16.4%), and a fairly high decrease in rice fields (-11.5%). The high increase in the ​​built-up land from 1990 to 2020 is indicated by the high level of land conversion from rice fields and dry land farming. The area of ​​natural LULC such as forest has decreased by -3.2% or about 5,705 ha in the last 30 years. The results of this study are expected to be a reference for the government and environmentalists so that efforts to prevent environmental damage can be carried out early on.
Monitoring Kekeringan berbasis Satelit untuk Identifikasi Potensi Kebakaran Hutan di Provinsi Jawa Timur Junilla Tristanti; Alya Arifa Danishara Afdal; Amirah Nayla Dinar Susena; Jennifer Marchelina Hutapea; Kuswantoro Marko; Andry Rustanto
Media Komunikasi Geografi Vol. 27 No. 1 (2026)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/mkg.v27i1.113599

Abstract

Kekeringan meteorologis akibat defisit curah hujan menjadi ancaman yang memicu peningkatan kebakaran hutan dan lahan di Provinsi Jawa Timur, terutama di wilayah timur yang secara geografis menerima curah hujan lebih rendah akibat pengaruh penghalang orografis Pegunungan Tengger-Semeru. Keterbatasan data pengamatan dari stasiun hujan darat mendorong pemanfaatan data presipitasi berbasis satelit. Penelitian ini bertujuan membandingkan data presipitasi dan nilai Standardized Precipitation Index 1-bulan (SPI-1) dari dataset CHIRPS dan PERSIANN-CDR periode 1995-2024 untuk mengidentifikasi potensi kebakaran hutan dan lahan di Jawa Timur. Pengolahan dan visualisasi data dilakukan menggunakan Google Earth Engine (GEE). Data CHIRPS di-upscaling ke resolusi 0,25° menggunakan metode mean resampling agar konsisten dengan resolusi PERSIANN-CDR. Indeks SPI-1 dihitung menggunakan distribusi Gamma untuk mentransformasikan anomali curah hujan bulanan menjadi indeks kekeringan terstandarisasi. Evaluasi kesesuaian antardataset dilakukan menggunakan koefisien korelasi Pearson (R) dan Root Mean Square Error (RMSE), serta didukung analisis deret waktu pada 12 kabupaten dengan riwayat kebakaran hutan dan lahan. Hasil penelitian menunjukkan estimasi presipitasi bulanan memiliki kesesuaian sangat tinggi (R=0,94; RMSE=48,42 mm/bulan), namun korelasinya menurun pada hasil SPI-1 (R=0,80; RMSE=0,59). Secara spasial dan temporal, CHIRPS lebih rinci dan konsisten dalam merepresentasikan kekeringan ekstrem dibandingkan PERSIANN-CDR. Pola kekeringan menunjukkan peningkatan risiko kebakaran ke arah timur Jawa Timur sehingga wilayah tersebut menjadi prioritas dalam sistem peringatan dini kebakaran.