Published June 17, 2019 | Version 1.0.0
Dataset Open

Global Soil Moisture Agricultural Drought Index (SMADI)

  • 1. University of Salamanca
  • 2. University of Valencia

Description


This repository contains the global Soil Moisture Agricultural Drought Index (SMADI) spanning from June 2010 to December 2015 at fortnightly (bi-weekly) rate. The product is gridded in a 0.05deg Climate Modeling Grid.

The data are provided in Matlab format (.mat). Each file is a 3600x7200 matrix size, where 3600 is the number of pixels in Latitude coordinates and 7200 to Longitude coordinates, both in the WGS84 system. The center-pixel coordinates are variables "Latitude" and "Longitude". No data values (NaN) correspond to pixels where the retrieval was not possible.


SMADI is computed using satellite time series of MODIS Normalized Difference Vegetation Index (NDVI, computed from daily reflectances MOD09CMG v.6), MODIS Land Surface Temperature (LST, product MOD11C1 v.6), and SMOS BEC L3 soil moisture data v2.0 (which corresponds to SMOS L2 v.620, average of ascending and descending orbits). 
 
The IGBP land cover (MODIS MOD12C1 product) is used prior to SMADI calculation to select only grassland and cropland/natural vegetation mosaic pixels as representative of the primary agro-ecosystems.

Notes

This study was supported by: -The Spanish Ministry of Economy and Competitiveness, MINECO (Project AYA2012-39356-C05). -The Spanish Ministry of Science, Innovation and Universities (Projects ESP2015-67549-C3-3 and ESP2017-89463-C3-3-R) -The Castilla y León Regional Government (Project SA007U16). -The European Regional Development Fund (ERDF).

Files

Readme_SMADI.txt

Files (1.3 GB)

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Additional details

References

  • Sánchez, N.; González-Zamora, Á.; Piles, M.; Martínez-Fernández, J. A New Soil Moisture Agricultural Drought Index (SMADI) Integrating MODIS and SMOS Products: A Case of Study over the Iberian Peninsula. Remote Sens. 8, 287, 2016.
  • Sánchez, N.; González-Zamora, Á.; Martínez-Fernández, J.; Piles, M.; Pablos, M. Integrated remote sensing approach to global agricultural drought monitoring, Agricultural and Forest Meteorology, Vol 259, pp. 141-153, 2018.
  • Pablos, M., González-Zamora, Á., Sánchez, N. and Martínez-Fernández, J. (2018). Assessment of SMADI and SWDI agricultural drought indices using remotely sensed root zone soil moisture. Proceedings of the International Association of Hydrological Sciences (Proc. IAHS), 95, 1-12.