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'On the ground' data was collected via ride-alongs with 15 inhabitants of the Leidsche Rijn neighbourhood.
The relationship between Landsat-derived differenced Normalized Burn Ratio (dNBR) values and the ground data was also evaluated (r2 = 0.20 to 0.58) and found to be comparable to the MTMF.
The accuracy of classifications of the intertidal and subtidal cover types, as indicated by the agreement between the mapped (predicted) and reference (ground) data, was 77 88%, depending on the zone and level of generalization required.
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The scarce ground data were confronted with the images.
Ground data were obtained from two measurement stations in Gran Canaria Island.
The ground data are collected from the continuous recording of geomagnetic field variations at Hermanus (34°25.5's, 19°13.5′E) and Tsumeb (19°12.1′s, 17°35.1′E).
As mentioned earlier, the GOME data record shows a remarkable long-term stability of 0.4 ± 0.2% per decade, whereas negative drifts with respect to ground data were found for SCIAMACHY -1.5 ± 0.6% per decade and GOME-2 -1.2 ± 1.1% per decade.
However, the supports used to collect ground data are often smaller than the desirable pixels used for mapping, which leads to complexity in developing procedures for sample design and mapping.
Airborne hyperspectral imagery and ground data were collected after the 2002 Hayman Fire in Colorado to assess the application of high resolution imagery for burn severity mapping and to compare it to standard burn severity mapping methods.
Ground data are the most common method for estimating the accuracy of lidar-derived elevation estimates.
After that, these ground data were compared with the 2008 thematic map.
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