Rice Plant Health Spatial Study with Sentinel and SPOT Imagery in Parakansalak District
Autor: | Muthia Tri Octavia, S. Supriatna |
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Rok vydání: | 2022 |
Předmět: | |
Zdroj: | IOP Conference Series: Earth and Environmental Science. 1111:012023 |
ISSN: | 1755-1315 1755-1307 |
DOI: | 10.1088/1755-1315/1111/1/012023 |
Popis: | The Rice plant is a food plant cultivated through lowland, one of the world community’s basic needs and source of livelihood for most Indonesian people. However, the amount of rice production in Indonesia is still relatively low compared to the consumption rate of the people, so it needs to get more attention in supporting the realization of food self-sufficiency. One of the efforts to achieve this is made by monitoring, such as health conditions. The purpose of this research is to identify the health condition of rice plants in Parakansalak District, Sukabumi Regency, West Java, by applying high-resolution satellite imagery, Sentinel-2 and SPOT-6 processed with NDVI (Normalized Difference Vegetation Index) algorithm to the monitoring plants health. The result concluded that rice plants have good health with an area of 197 hectares or 52 % of the existing paddy field area by Sentinel-2, and the distribution of NDVI values in higher resolution images SPOT-6 has a similar spatial pattern. This percentage shows that the distribution of NDVI values is relatively high and indicates that the plants have a high density. |
Databáze: | OpenAIRE |
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