Integrating Remote Sensing and GIS for Precision Agriculture: Leveraging Google Earth Engine for Enhanced Agricultural Management
Abstract This study aims to develop a plant health monitoring platform using Google Earth Engine and Sentinel-2 satellite imagery. This platform enables real-time and accurate monitoring of plant conditions in Ponorogo Regency, supporting better decision-making in agricultural management. The platform utilizes high-resolution multispectral data such as the NDVI, Chlorophyll Vegetation Index, and Normalized Difference Built-up Index to generate vegetation indices, providing comprehensive information about plant structure and condition. The Google Earth Engine platform offers a robust platform for monitoring and analysis functions within the platform, providing valuable insights for precision agriculture applications
Authors
- Mukhammad Muryono (ORCID: https://orcid.org/0000-0003-2677-1519)
- Eko Yuli Handoko (ORCID: https://orcid.org/0000-0001-9654-2530)
- Achmad Fahriza
Institutions
- Sepuluh Nopember Institute of Technology (ID)
Publication Details
- Journal
- IOP Conference Series Earth and Environmental Science
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1088/1755-1315/1418/1/012054
- Citations
- 1
- Primary Topic
- Remote Sensing in Agriculture
- Type
- article
- Field-Weighted Citation Impact
- 1.26