Name
Abstract | ||
|---|---|---|
Many applied Earth observation problems are based on land cover and land use maps, derived from satellite data. That is why it is important to assess their accuracy. We have developed retrospective regional 30 meter resolution land cover maps for Ukraine based on Landsat data for 1990, 2000 and 2010. As there is no reference data for validating retrospective periods, validation of the maps could be done only with photo-interpretation. In this paper we investigate two different sampling schemes for reference samples selection: pseudo-random (purposeful) samples selection (first approach) and systematic on regular grid (second approach). With systematic samples selection we receive the lower accuracy of classification (overall, user and producer), then with pseudo-random. Nevertheless we consider the validation results with the systematic sampling scheme (the second approach) to be more reliable comparing to the first one, because the second sampling scheme is less subjective. Moreover, samples proportion within the second approach better corresponds to the statistics. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IGARSS.2016.7730174 | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
Keywords | Field | DocType |
land cover map, validation, sampling scheme | Reference data (financial markets),Systematic sampling,Satellite,Regular grid,Computer science,Remote sensing,Earth observation,Sampling (statistics),Land cover,Land use | Conference |
ISSN | Citations | PageRank |
2153-6996 | 0 | 0.34 |
References | Authors | |
6 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mykola Lavreniuk | 1 | 75 | 7.51 |
| Nataliia Kussul | 2 | 191 | 25.01 |
| Andrii Shelestov | 3 | 145 | 19.39 |
| Bohdan Yailymov | 4 | 0 | 0.34 |
| Tamara Oliinyk | 5 | 0 | 0.34 |
| Alexander Kosteckyi | 6 | 0 | 0.34 |