DOI: 10.5281/zenodo.7130164
title: Nationwide geospatial dataset of environmental covariates at 1km resolution in Mexico

description: <strong>Package of 39 covariates, a combination of topographic, climatic, and vegetation derived variables with pixel sizes of 1000 m for the period of 2009 to 2014 from google earth engine (GEE) to assemble a nationwide geospatial dataset of Mexico.</strong><br> <strong>Datasets included WorldClim V1; a set of bioclimatic variables derived from the monthly temperature and rainfall (Hijmans, 2005); time-series analysis of Landsat images from the Hansen Global Forest Change v1.8 (2000-2020) dataset (Hansen et al., 2013); 4-day composite dataset from Moderate Resolution Imaging Spectro-radiometer (MODIS) sensors with fraction of photosynthetic active radiation and leaf area index at 500-m resolution (Myneni, Ranga et al., 2015) and the Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Emissivity Database (2000-2008) (Hulley et al., 2009, 2012, 2015; Hulley & Hook, 2008, 2009, 2011; NASA JPL, 2014). All covariates were resampled to 1000 m. The resampling was done with conventional bilinear interpolation as implemented in GEE.</strong>
description: {"references": ["Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very High Resolution Interpolated Climate Surfaces for Global Land Areas. International Journal of Climatology 25: 1965-1978. doi:10.1002/joc.1276", "Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau, S. V. Stehman, S. J. Goetz, T. R. Loveland, A. Kommareddy, A. Egorov, L. Chini, C. O. Justice, and J. R. G. Townshend. 2013. \"High-Resolution Global Maps of 21st-Century Forest Cover Change.\" Science 342 (15 November): 850-53. Data available on-line at: https://glad.earthengine.app/view/global-forest-change", "Myneni, Ranga, Knyazikhin, Yuri, & Park, Taejin. (2015). MOD15A2H MODIS/Terra Leaf Area Index/FPAR 8-Day L4 Global 500m SIN Grid V006 [Data set]. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MOD15A2H.006", "Hulley, G. C., & Hook, S. J. (2008). A new methodology for cloud detection and classification with ASTER data. Geophysical Research Letters, 35(16). https://doi.org/10.1029/2008GL034644 Hulley, G. C., & Hook, S. J. (2009). The North American ASTER Land Surface Emissivity Database (NAALSED) Version 2.0. Remote Sensing of Environment, 113(9), 1967\u20131975. https://doi.org/10.1016/j.rse.2009.05.005", "Hulley, G. C., & Hook, S. J. (2011). Generating Consistent Land Surface Temperature and Emissivity Products Between ASTER and MODIS Data for Earth Science Research. IEEE Transactions on Geoscience and Remote Sensing, 49(4), 1304\u20131315. https://doi.org/10.1109/TGRS.2010.2063034", "Hulley, G. C., Hook, S. J., Abbott, E., Malakar, N., Islam, T., & Abrams, M. (2015). The ASTER Global Emissivity Dataset (ASTER GED): Mapping Earth's emissivity at 100 meter spatial scale. Geophysical Research Letters, 42(19), 7966\u20137976. https://doi.org/10.1002/2015GL065564", "Hulley, G. C., Hook, S. J., & Baldridge, A. M. (2009). Validation of the North American ASTER Land Surface Emissivity Database (NAALSED) version 2.0 using pseudo-invariant sand dune sites. Remote Sensing of Environment, 113(10), 2224\u20132233. https://doi.org/10.1016/j.rse.2009.06.005", "Hulley, G. C., Hughes, C. G., & Hook, S. J. (2012). Quantifying uncertainties in land surface temperature and emissivity retrievals from ASTER and MODIS thermal infrared data. Journal of Geophysical Research: Atmospheres, 117(D23). https://doi.org/10.1029/2012JD018506 NASA JPL. (2014). ASTER Global Emissivity Dataset, 100-meter, HDF5 [Data set]. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/COMMUNITY/ASTER_GED/AG100.003"]}