Mean NDVI Values (1982-2018) and Future Predictions Using CHELSA Bioclim Variables for Türkiye

<p>This dataset contains mean Normalized Difference Vegetation Index (NDVI) values from 1982 to 2018 and their future predictions based on CHELSA bioclimatic variables, specifically for the region of T&uuml;rkiye. The data is provided in .asc format and includes both historical and projected NDVI values under different climate scenarios.</p> <h4>Contents:</h4> <ul> <li><strong>Historical NDVI Data (1982-2018)</strong>: Mean NDVI values derived from remote sensing data.</li> <li><strong>Future NDVI Predictions</strong>: NDVI projections for the periods 2011-2040, 2041-2070, and 2071-2100 under three Shared Socioeconomic Pathways (SSPs): SSP1-2.6, SSP3-7.0, and SSP5-8.5.</li> </ul> <h4>Methodology:</h4> <ol> <li><strong>Model Training</strong>: <ul> <li>A Random Forest Regressor was used to model the relationship between NDVI and the selected bioclim variables.</li> <li>The model achieved an R&sup2; of 0.9341, Mean Absolute Error of 0.0275, and Root Mean Squared Error of 0.0499.</li> </ul> </li> <li><strong>Future Predictions</strong>: <ul> <li>Future NDVI values were predicted using the trained model and future CHELSA bioclim projections.</li> <li>Predictions were made for three future periods (2011-2040, 2041-2070, 2071-2100) under three SSPs (SSP1-2.6, SSP3-7.0, SSP5-8.5).</li> </ul> </li> </ol> <h4>Data Specifications:</h4> <ul> <li><strong>Extent</strong>: Covers the geographical area of T&uuml;rkiye and adjacents.</li> </ul> <h4>Sources:</h4> <ul> <li><strong>NDVI Data</strong>: <ul> <li>Ma, Z., Dong, C., Lin, K., Yan, Y., Luo, J., Jiang, D., &amp; Chen, X. (2022). A Global 250-m Downscaled NDVI Product from 1982 to 2018. Remote Sensing, 14(15), 3639.</li> </ul> </li> <li><strong>CHELSA Bioclim Data</strong>: <ul> <li>Karger, D.N., Conrad, O., B&ouml;hner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, P., Kessler, M. (2017). Climatologies at high resolution for the Earth land surface areas. Scientific Data. 4 170122.&nbsp;<a href="https://doi.org/10.1038/sdata.2017.122" target="_new" rel="noreferrer">https://doi.org/10.1038/sdata.2017.122</a></li> <li>Karger, D.N., Conrad, O., B&ouml;hner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, H.P., Kessler, M. Data from: Climatologies at high resolution for the earth&rsquo;s land surface areas. Dryad Digital Repository.&nbsp;<a href="http://dx.doi.org/doi:10.5061/dryad.kd1d4" target="_new" rel="noreferrer">http://dx.doi.org/doi:10.5061/dryad.kd1d4</a></li> </ul> </li> </ul>