Kekeringan menjelaskan suatu tahap kelangkaan air pada waktu tertentu di lokasi tertentu. Kekeringan berdampak dalam banyak hal. Gagal panen atau “puso” akan terjadi dari kekeringan jangka pendek, sementara gangguan ekonomi mungkin terjadi dalam periode kekeringan jangka panjang. Beberapa wilayah di Indonesia secara berkala terkena dampak kekeringan pada musim kemarau, termasuk Kabupaten Indramayu. Sebagai salah satu lumbung padi terbesar di Jawa Barat, 63% wilayah Indramayu ditutupi oleh sawah. Oleh karena itu, pemantauan kekeringan pertanian di lokasi tersebut menjadi tantangan karena kerusakan luas yang disebabkan oleh peristiwa tersebut. Penelitian ini bertujuan untuk menganalisis distribusi spasial dan temporal kekeringan di persawahan Indramayu. Penelitian ini memanfaatkan Normalized Difference Drought Index (NDDI) yang dihasilkan dari Landsat 8 OLI-TIRS untuk mengidentifikasi lokasi kekeringan. Pengamatan dilakukan pada bulan kering Juli, Agustus, September, dan Oktober. Daerah kekeringan paling parah terjadi pada bulan Oktober, terutama di tiga kecamatan, yaitu Gantar, Kroya, dan Haurgeulis. Analisis korelasi berbasis statistik menunjukkan hubungan yang signifikan antara NDDI dan jarak dari jaringan irigasi, meskipun korelasi yang relatif lebih kuat ditemukan antara NDDI dan produktivitas tanaman. Secara konklusif, NDDI berhasil diterapkan untuk mengidentifikasi daerah kekeringan di Kabupaten Indramayu.

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Drought explains a stage of water scarcity at a particular time in a certain location. In land, drought has impacts in many ways. Crop failure or “puso” will occur from a short- term drought, while economic disruption might happen in a long-term drought period. Several parts of Indonesia were periodically impacted by drought during the dry season, including Indramayu Regency. As one of the largest rice barns in West Java, 63% of Indramayu is covered by the rice field. Therefore, monitoring agricultural drought in such locations is challenging due to the extensive damage caused by the event. This study aims to analyze the spatial and temporal distribution of drought in Indramayu’s rice fields. This study utilizes the Normalized Difference Drought Index (NDDI) generated from Landsat 8 OLI-TIRS to identify drought locations. Observation is carried out during the dry months of July, August, September, and October. Most severe drought areas were found in October, especially in three sub-districts, including Gantar, Kroya, and Haurgeulis. Statistical-based correlation analysis shows a significant relationship between NDDI and distance from the irrigation network, although a relatively stronger correlation was found between NDDI and crop productivity. Conclusively, NDDI was successfully applied to identify drought areas in Indramayu Regency.