Model Fenologi Jagung Selama Sepuluh Tahun Menggunakan Fusi Spektral Citra Satelit Landsat dan MODIS (Studi Kasus: Kabupaten Ngawi, Jawa Timur)

Ali, Zulfikar (2023) Model Fenologi Jagung Selama Sepuluh Tahun Menggunakan Fusi Spektral Citra Satelit Landsat dan MODIS (Studi Kasus: Kabupaten Ngawi, Jawa Timur). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kabupaten Ngawi merupakan kontributor utama produksi padi dan jagung di Jawa Timur, dengan total produksi padi sebesar 818,62 ribu ton Gabah Kering Giling dan jagung sebesar 259,339 ton (BPS, 2021). Untuk mempertahankan dan meningkatkan produktivitas tersebut, penulis menggunakan metode Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM) untuk memadukan citra Landsat-8, Landsat-9, dan MODIS-MCD43A4. Citra yang dihasilkan memiliki resolusi spasial 30 m dan resolusi temporal harian, yang indeks vegetasi (NDVI) dan indeks air (NDWI) dari citra ini dapat menunjukkan fenologi tanaman jagung. Pada bulan Mei 2019 dan Juni 2021, fase generatif awal tanaman jagung mendominasi di Hutan Karangjati, dengan nilai NDVI puncak sekitar 0,8. Pada bulan Mei 2023, fase generatif akhir mendominasi dan menyebar ke seluruh area penelitian, ditandai dengan penurunan NDVI menjadi sekitar 0,5-0,7. Penulis mengidentifikasi dua siklus penanaman dan panen jagung per tahun berdasarkan analisis NDVI dan NDWI, wawancara dengan petani lokal, dan data dari Dinas Ketahanan Pangan dan Pertanian Kabupaten Ngawi. Siklus pertama: Oktober (vegetatif awal, NDVI ~0,3), November (vegetatif akhir, NDVI ~0,6), Desember (generatif awal, NDVI ~0,8), Januari (generatif akhir, NDVI ~0,7, panen). Siklus kedua: Februari (vegetatif awal, NDVI ~0,3-0,4), Maret (vegetatif akhir, NDVI ~0,6-0,7), April (generatif awal, NDVI ~0,8), Mei-Juni (generatif akhir, NDVI ~0,5-0,7, panen). Uji korelasi dan regresi menunjukkan adanya hubungan yang signifikan antara NDVI ESTARFM, Landsat, dan MODIS (R² antara 0,751 dan 0,901). Untuk NDWI, beberapa variabel menunjukkan hubungan korelasi yang lemah, namun ada juga yang kuat, terutama antara ESTARFM dan MODIS (korelasi 0,906-0,944, R² 0,821-0,891). Meskipun terdapat perbedaan luasan antara citra Landsat dan citra hasil penggabungan ESTARFM pada bulan Mei 2023, model ESTARFM berhasil memprediksi pola fenologi jagung di Ngawi. Hasil ini menunjukkan pentingnya pemilihan indeks spektral yang sesuai untuk mengidentifikasi fenologi tanaman.
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Ngawi Regency is a major contributor to rice and corn production in East Java, with a total rice production of 818,62 thousand tonnes of milled dry grain and 259,339 tonnes of corn (BPS, 2021). To maintain and increase this productivity, the author uses the Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM) method to fuse Landsat-8, Landsat-9, and MODIS-MCD43A4 images. The resulting images have a spatial resolution of 30 m and daily temporal resolution, which vegetation index (NDVI) and water index (NDWI) from these images can show the phenology of corn crops. In May 2019 and June 2021, the early generative phase of corn dominates in Karangjati Forest, with peak NDVI values around 0,8. In May 2023, the late generative phase dominated and spread throughout the study area, characterised by a decrease in NDVI to around 0,5-0,7. The authors identified two corn planting and harvesting cycles per year based on NDVI and NDWI analyses, interviews with local farmers, and data from the Ngawi District Food Security and Agriculture Office. First cycle: October (early vegetative, NDVI ~0,3), November (late vegetative, NDVI ~0,6), December (early generative, NDVI ~0,8), January (late generative, NDVI ~0,7, harvest). Second cycle: February (early vegetative, NDVI ~0,3-0,4), March (late vegetative, NDVI ~0,6-0,7), April (early generative, NDVI ~0,8), May-June (late generative, NDVI ~0,5-0,7, harvest). Correlation and regression tests showed a significant relationship between ESTARFM, Landsat and MODIS NDVI (R² between 0,751 and 0,901). For NDWI, some variables showed weak correlations, but some were strong, especially between ESTARFM and MODIS (correlations 0,906-0,944, R² 0,821-0,891). Despite the difference in area between Landsat and ESTARFM merged images in May 2023, the ESTARFM model successfully predicted corn phenology patterns in Ngawi. These results show the importance of selecting the appropriate spectral index to identify crop phenology.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Corn, ESTARFM, GEE, NDVI, Phenology, ESTARFM, Fenologi, GEE, Jagung, NDVI
Subjects:	S Agriculture > S Agriculture (General) > S600.7.P53 Planting time G Geography. Anthropology. Recreation > G Geography (General) > G70.212 ArcGIS. Geographic information systems. G Geography. Anthropology. Recreation > G Geography (General) > G70.217 Geospatial data G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis
Depositing User:	Zulfikar Ali
Date Deposited:	02 Aug 2023 03:58
Last Modified:	02 Aug 2023 03:58
URI:	http://repository.its.ac.id/id/eprint/101037

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