Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 393-398, 2016
https://doi.org/10.5194/isprs-archives-XLI-B8-393-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
23 Jun 2016
A COMBINED APPROACH WITH SMOS AND MODIS TO MONITOR AGRICULTURAL DROUGHT
N. Sánchez, J. Martínez-Fernández, and A. González-Zamora CIALE, Universidad de Salamanca, Duero 12, 37185 Villamayor, Salamanca, Spain
Keywords: Agricultural drought, MODIS, SMOS, soil moisture Abstract. A synergistic fusion of the Soil Moisture and Ocean Salinity (SMOS) L2 soil moisture with the Moderate Resolution Imaging Spectroradiometer (MODIS)-derived land surface temperature (LST) and several water/vegetation indices for agricultural drought monitoring was tested. The rationale of the calculation is based on the inverse relationship between LST and vegetation condition, related in turn with the soil moisture content. All the products were time-integrated, including the lagged response of vegetation. The product aims to detect and characterize soil moisture drought conditions and, particularly, to identify potential short-term agricultural droughts among them. The new index, so-called the Soil Moisture Agricultural Drought Index (SMADI), was retrieved at 500 m spatial resolution at the Soil Moisture Measurement Stations Network of the University of Salamanca (REMEDHUS) area from 2010 to 2014 at 8-days temporal scale. SMADI was compared with other agricultural indices in REMEDHUS through statistical correlation, affording a good agreement with them, and depicting a suitable description of the drought conditions in this area during the study period.
Conference paper (PDF, 1086 KB)


Citation: Sánchez, N., Martínez-Fernández, J., and González-Zamora, A.: A COMBINED APPROACH WITH SMOS AND MODIS TO MONITOR AGRICULTURAL DROUGHT, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 393-398, https://doi.org/10.5194/isprs-archives-XLI-B8-393-2016, 2016.

BibTeX EndNote Reference Manager XML