Rice Crop Phenology Model to Monitor Rice Planting and Harvesting Time using Remote Sensing Approach

Hafidh Waldini, Iqbal Putut Ash Shidiq, Rokhmatuloh Rokhmatuloh, Supriatna Supriatna

Research output: Contribution to journalConference articlepeer-review


Rice is one of the most significant food commodity products in Indonesia. The production of rice in 2019 reached 49.8 million tons. On a global scale, rice is consumed by half of the human population around the world. This study will support the development of sustainable natural resources management, which is an important thing to the realization of the Sustainable Development Goals in zero poverty and zero hunger. Remote sensing is a useful instrument to monitor natural resources. This study used Sentinel-2 imageries to extract rice phenology using vegetation indices (NDVI and NDWI), then acquired the planting and harvesting time using the temporal analysis. The NDVI value is showing a parabolic curve regarding the planting stage of the rice. The value of NDVI is high in the transplanting stage but decreases in the harvesting phase. Besides that, in the seedling and transplanting stage, NDWI has a higher value than NDVI. However, in tillering until the harvesting phase, NDWI has a similar characteristic but lower value than NDVI. Based on the spatial and temporal distribution of rice planting and harvesting date, it is known that climate is not a resistant factor, especially the irrigated rice field. Nevertheless, in the rainfed rice field, the planting time depends on climate conditions.

Original languageEnglish
Article number03020
JournalE3S Web of Conferences
Publication statusPublished - 25 Jan 2021
Event2020 International Conference on Agribusiness and Rural Development, IConARD 2020 - Yogyakarta, Indonesia
Duration: 13 Oct 202014 Oct 2020


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