Olive_Yield_Spectral_data_from Landsat
Published: 16 May 2025| Version 1 | DOI: 10.17632/wg88j5t3jd.1
Contributor:
Tien Dat PhamDescription
Dataset generated from Landat-8 OLI and Landsat-9 OLI-2 with 13 features to predict Olive Yield in Tunisia.
Files
Steps to reproduce
The dataset consists of 13 features derived from Landsat-8 OLI and Landsat-9 OLI-2 (7 spectral bands B1-B7), 5 Vegetation Indices (Normalized Difference Vegetation Index (NDVI), Green Normalized Difference Vegetation Index (GNDVI), Soil-Adjusted Vegetation Index (SAVI), Chlorophyll Index Green (CIgreen), and the Normalized Difference Water Index (NDWI) and Digital Elevation Model (DEM).
Institutions
- Deakin UniversityVIC, Burwood
- Western Sydney University - Hawkesbury CampusNSW, Richmond
- Tsukuba DaigakuIbaraki, Tsukuba
Categories
Remote Sensing, Machine Learning, Ensemble, Regression Model, Crop Yield, Olive