Title :
Comparison of SMOS-retrieved and NDVI climatology-derived vegetation optical thickness
Author :
Patton, Jason ; Hornbuckle, Brian
Author_Institution :
Dept. of Agronomy, Iowa State Univ. of Sci. & Technol., Ames, IA, USA
Abstract :
The Soil Moisture Active Passive (SMAP) mission may require ancillary vegetation optical thickness (τ) information as part of SMAP´s soil moisture retrieval algorithm. Currently, the ancillary τ data comes from a normalized difference vegetation index (NDVI) climatology that is converted to τ. The Soil Moisture Ocean Salinity (SMOS) satellite measures τ as part of its soil moisture retrieval algorithm. In this paper, we compare SMOS τ to SMAP´s proposed NDVI climatology-derived τ (SMAP τ). During the growing season in heavily cultivated parts of Iowa, SMAP τ is usually larger than SMOS τ. The timing of the peak in τ is similar between the two data sets on the whole, but some SMOS pixels in 2012 peak earlier by 15-20 days.
Keywords :
hydrological techniques; moisture; remote sensing; soil; vegetation; NDVI climatology; SMAP mission; SMAP soil moisture retrieval algorithm; SMOS satellite; Soil Moisture Active Passive mission; Soil Moisture Ocean Salinity; normalized difference vegetation index; vegetation optical thickness; Agriculture; Sea measurements; Soil measurements; Soil moisture; Timing; Vegetation; Vegetation mapping; Microwave radiometry; SMAP; SMOS; vegetation water content;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6946994