Analisis Peta Kekeringan Lahan Pertanian Di Kabupaten Lamongan Menggunakan NDDI (Normalized Difference Drought Index)
Keywords:
Agricultural Land, Drought, NDDI
Abstract
Agricultural land is a natural resource that plays an important role in the continuity of human life. Lamongan is one of the regencies with vast agricultural land, around 80% of the Lamongan Regency area is agricultural land consisting of rice fields and non-rice fields. However, every year Lamongan is hit by drought in several regions. Drought in Lamongan occurs on average around June - October. Several sub-districts in Lamongan are hit by drought, one of the causes of which is low rainfall during the dry season. This study used rainfall data and Landsat 8 satellite imagery with a time span of August - October 2019 - 2023. Landsat 8 imagery was adjusted to the months used, and image processing to obtain drought results in Lamongan Regency using the NDDI (Normalized Difference Drought Index). From the processing, the results obtained in October 2023 were that the area hit by severe drought was Sarirejo District with an area value of 32,490,000 m2 from the total area of Sarirejo District of 47,380,000 m2. Around 68.57% of the Sarirejo District area was hit by severe drought. This study aims to determine the area affected by drought in the Lamongan area. So it can be used for mitigation in future drought disasters.
References
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Santoso, A. B., Supriana, T., & Girsang, M. A. (2022). Pengaruh Curah Hujan pada Produksi Padi Gogo di Indonesia. Jurnal Ilmu Pertanian Indonesia, 27(4), 606–613. https://doi.org/10.18343/jipi.27.4.606
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Widhaningtyas, T. U., Putra, A. C. P., & Fariz, T. R. (2020). Perbandingan Metode Koreksi Topografi Pada Citra Satelit Landsat 8 Di Wilayah Gunung Telomoyo, Jawa Tengah. Jurnal Geografi : Media Informasi Pengembangan Dan Profesi Kegeografian, 17(2), 32–38. https://doi.org/10.15294/jg.v17i2.22863
Affandy, Nur A., Iranata, D., Anwar, N., Maulana, M. A., Prastyo, D. D., Jaelani, L. M., & Suryadi, F. X. (2023). Modelling causality between agricultural and meteorological drought indices in the Corong River basin, East Java Indonesia. Journal of Water and Land Development, 58, 178–188. https://doi.org/10.24425/jwld.2023.146610
Affandy, Nur Azizah, Iranata, D., Anwar, N., & Maulana, M. A. (2023). Assessment and Prediction of Hydrometeorological Drought in Corong River Basin , Indonesia. 12(December), 378–393. https://doi.org/10.13170/aijst.12.3.32592
Badan Pusat Statistik Kabupaten Lamongan. (2024). Luas Panen dan Produksi Padi di Kabupaten Lamongan 2023 (Angka Tetap). https://lamongankab.bps.go.id/id/pressrelease/2024/07/03/46/luas-panen-dan-produksi-padi-di-kabupaten-lamongan-2023--angka-tetap-.html
Chang, K. Y., Xu, L., Starr, G., & Paw U, K. T. (2018). A drought indicator reflecting ecosystem responses to water availability: The Normalized Ecosystem Drought Index. Agricultural and Forest Meteorology, 250–251(November 2017), 102–117. https://doi.org/10.1016/j.agrformet.2017.12.001
Dai, M., Huang, S., Huang, Q., Leng, G., Guo, Y., Wang, L., Fang, W., Li, P., & Zheng, X. (2020). Assessing agricultural drought risk and its dynamic evolution characteristics. Agricultural Water Management, 231(December 2019), 106003. https://doi.org/10.1016/j.agwat.2020.106003
Dinas Ketahanan Pangan dan Pertanian Kabupaten Lamongan. (2022). POTENSI PERTANIAN KABUPATEN LAMONGAN. https://lamongankab.go.id/beranda/dinkpp/post/6073
Du, T. L. T., Du Bui, D., Nguyen, M. D., & Lee, H. (2018). Satellite-based, multi-indices for evaluation of agricultural droughts in a highly dynamic tropical catchment, Central Vietnam. Water (Switzerland), 10(5). https://doi.org/10.3390/w10050659
Dzakiyah, I. F., Saraswati, R., & Pamungkas, F. D. (2022). The Potential of Agricultural Land Drought Using Normalized Difference Drought Index in Ciampel Subdistrict Karawang Regency. International Journal on Advanced Science, Engineering and Information Technology, 12(3), 908–914. https://doi.org/10.18517/ijaseit.12.3.13261
Falih, I., & Nabilah, S. (2021). Aplikasi Penggunaan Sistem Informasi Geografis (SIG) dalam Pemetaan Potensi di Desa Pataan Application of Geographic Information System (GIS) for Potential Mapping in Pataan Village Abstrak (Bahasa Indonesia) (11pt). JSNu : Journal of Science Nusantara, 1(1), 31–37.
Gao, Q. G., Sombutmounvong, V., Xiong, L., Lee, J. H., & Kim, J. S. (2019). Analysis of drought-sensitive areas and evolution patterns through statistical simulations of the Indian Ocean Dipole mode. Water (Switzerland), 11(6). https://doi.org/10.3390/w11061302
Liu, Q., Zhang, S., Zhang, H., Bai, Y., & Zhang, J. (2020). Monitoring drought using composite drought indices based on remote sensing. Science of the Total Environment, 711, 134585. https://doi.org/10.1016/j.scitotenv.2019.134585
Luqman, A. D., Wiyono, R. U. A., & Hidayah, E. (2021). AKURASI PEMETAAN KEKERINGAN LAHAN PERTANIAN MENGGUNAKAN METODE NORMALIZED DIFFERENCE DROUGHT INDEX (NDDI) DI KECAMATAN WULUHAN DAN RAMBIPUJI JEMBER. Pertemuan Ilmiah Tahunan HATHI Ke-38, 111–120.
Mulyanti, H. (2023). Apakah Kekeringan Ekstrem Lokal Berkaitan Dengan Fenomena El Niño ? Geodika: Jurnal Kajian Ilmu Dan Pendidikan Geografi, 7(2), 154–164. https://doi.org/10.29408/geodika.v7i2.12527
Rahman, F. A. S. B. D. Y. (2019). Analisis Perbandingan Metode Normalized Difference Drought Index (NDDI) Dan Thermal Vegetation Index (TVX) Dalam Menentukan Kekeringan Lahan Sawah (Studi Kasus : Kabupaten Kendal). Jurnal Geodesi Undip, 8(1), 318–327.
Rahmat, A., Daruati, D., Ramadhani, W. S., & Ratnawati, H. I. (2022). Analysis of Normalized Different Wetness Index (NDWI) Using Landsat Imagery in the Ciletuh Geopark Area as Ecosystem Monitoring. IOP Conference Series: Earth and Environmental Science, 1062(1). https://doi.org/10.1088/1755-1315/1062/1/012037
Santoso, A. B., Supriana, T., & Girsang, M. A. (2022). Pengaruh Curah Hujan pada Produksi Padi Gogo di Indonesia. Jurnal Ilmu Pertanian Indonesia, 27(4), 606–613. https://doi.org/10.18343/jipi.27.4.606
Sukojo, B. M., Nabilah, S., & Swastyastu, C. A. (2019). Landsat 8 satellite imagery analysis for rice production estimates (Case study: Bojonegoro regencys). Journal of Theoretical and Applied Information Technology, 97(1), 98–108.
Wibisono, M. I. (2017). ANALISIS KEBUTUHAN PENGAIRAN KAWASAN PERTANIAN BERDASAR BENCANA KEKERINGAN DI KABUPATEN LAMONGAN BERBASIS SISTEM INFORMASI GEOGRAFIS (SIG). Institut TeknologiSepuluh Nopember.
Widhaningtyas, T. U., Putra, A. C. P., & Fariz, T. R. (2020). Perbandingan Metode Koreksi Topografi Pada Citra Satelit Landsat 8 Di Wilayah Gunung Telomoyo, Jawa Tengah. Jurnal Geografi : Media Informasi Pengembangan Dan Profesi Kegeografian, 17(2), 32–38. https://doi.org/10.15294/jg.v17i2.22863
Published
2025-04-30
Section
Articles
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