Geometric Accuracy Investigations of SEVIRI High Resolution Visible (HRV) Level 1.5 Imagery

Abstract

GCOS (Global Climate Observing System) is a long-term program for monitoring the climate, detecting the changes, and assessing their impacts. Remote sensing techniques are being increasingly used for climate-related measurements. Imagery of the SEVIRI instrument on board of the European geostationary satellites Meteosat-8 and Meteosat-9 are often used for the estimation of essential climate variables. In a joint project between the Swiss GCOS Office and ETH Zurich, geometric accuracy and temporal stability of 1-km resolution HRV channel imagery of SEVIRI have been evaluated over Switzerland. A set of tools and algorithms has been developed for the investigations. Statistical analysis and blunder detection have been integrated in the process for robust evaluation. The relative accuracy is evaluated by tracking large numbers of feature points in consecutive HRV images taken at 15-minute intervals. For the absolute accuracy evaluation, lakes in Switzerland and surroundings are used as reference. 20 lakes digitized from Landsat orthophotos are transformed into HRV images and matched via 2D translation terms at sub-pixel level. The algorithms are tested using HRV images taken on 24 days in 2008 (2 days per month). The results show that 2D shifts that are up to 8 pixels are present both in relative and absolute terms.

Cloud Photogrammetry from Space

“…SEVIRI's geolocation is according to our experience, often false by a pixel or two. This was confirmed also by an independent study (Aksakal, 2013). Thus we used coastlines to automatically align MODIS and SEVIRI data.…”

Separating the thermal fingerprints of lava flows and simultaneous lava fountaining using ground‐based thermal camera and SEVIRI measurements

“…Recent advances have been enabled through the use of frequent (every 15 min) mid‐ and thermal‐infrared data from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) [ Aksakal , ; Ganci et al ., ], aboard the geostationary satellite Meteosat Second Generation (MSG), from which the detection of volcanic hot spots (thermal anomalies that possibly relate to dynamic volcanic processes) and the construction of radiant heat flux time series during such short‐lived explosive and effusive events can be determined [ Vicari et al ., ]. SEVIRI time series can also be used to yield volume and intensity of short‐lived events, with the geostationary orbit meaning that data are always available for the targeted location [ Ganci et al ., ; Hirn et al .…”

Combining a Two Source Energy Balance Model Driven by MODIS and MSG-SEVIRI Products with an Aggregation Approach to Estimate Turbulent Fluxes over Sparse and Heterogeneous Vegetation in Sahel Region (Niger)

“…These dissimilarities related to the spectral characteristics of the two instruments can induce the observed differences in retrieved Ts. Finally, the positioning error of MSG has been found to reach up to 8 pixels, i.e.,~30 km [90], which could also explain this overestimation, in particular if the pixel is shifted to the north of the area characterized by bare and hot soils. …”