Emelyanova, Irina V.; McVicar, Tim R; Van Niel, Thomas G.; Li , Ling Tao; Van Dijk, Albert
Blending algorithms model land cover change by using highly resolved spatial data from one sensor and highly resolved temporal data from another. Because the data are not usually observed concurrently, unaccounted spatial and temporal variances cause error in blending algorithms, yet, to date, there has been no definitive assessment of algorithm performance against spatial and temporal variances. Our objectives were to: (i) evaluate the accuracy of two advanced blending algorithms (STARFM and...[Show more]
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