Olive_Yield_Spectral_data_from Landsat

Published: 16 May 2025| Version 1 | DOI: 10.17632/wg88j5t3jd.1
Contributor:
Tien Dat Pham

Description

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 University
  • Western Sydney University - Hawkesbury Campus
  • Tsukuba Daigaku

Categories

Remote Sensing, Machine Learning, Ensemble, Regression Model, Crop Yield, Olive

Funders

Licence