isprs-annals-IV-3-W1-57-2019.pdf (2.02 MB)
Mapping spatial accuracy of forest type classification in jaxa's high-resolution land use and land cover map
conference contribution
posted on 2020-08-03, 09:37 authored by N Tsutsumida, S Nagai, P Rodríguez-Veiga, J Katagi, K Nasahara, T TadonoAccuracy assessment of forest type maps is essential to evaluate the classification of forest ecosystems quantitatively. However, map users do not understand in which regions those forest types are well classified from conventional static accuracy measures. Hence, the objective of this study is to unveil spatial heterogeneities of accuracies of forest type classification in a map. Four forest types (deciduous broadleaf forest (DBF), deciduous needleleaf forest (DNF), evergreen broadleaf forest (EBF), and evergreen needleleaf forest (ENF)) found in the JAXA's land use / cover map of Japan were assessed by a volunteered Site-based dataset for Assessment of Changing LAnd cover by JAXA (SACLAJ). A geographically weighted (GW) correspondence matrix was applied to them to calculate the degree of overall agreements of forest type classes (forest overall accuracy), and the degree of accuracy for each forest class (forest user's and producer's accuracies) in a spatially varying way. This study compared spatial surfaces of these measures with static ones of them. The results show that the forest overall accuracy of the forest map tends to be relatively more accurate in the central Japan, while less in the Kansai and Chubu regions and the northern edge of Hokkaido. Static forest user's accuracy measures for DBF, DNF, and ENF are better than forest producer's accuracy ones, while the GW approach tells us such characteristics vary spatially and some areas have opposite trends. This kind of spatial accuracy assessment provides a more informative description of the accuracy than the simple use of conventional accuracy measures.
History
Citation
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3/W1, 57–63, https://doi.org/10.5194/isprs-annals-IV-3-W1-57-2019, 2019.Author affiliation
NERC National Centre for Earth Observation (NCEO)Source
ISPRS Technical Commission III WG III/2, 10 Joint Workshop Multidisciplinary Remote Sensing for Environmental Monitoring, 12-14th March 2019, Kyoto, JapanVersion
- VoR (Version of Record)
Published in
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesVolume
4Issue
3/W1Pagination
57 - 63Publisher
Copernicus GmbHissn
2194-9042eissn
2194-9050Copyright date
2019Available date
2019-03-01Publisher DOI
Spatial coverage
Kyoto, JapanTemporal coverage: start date
2019-03-12Temporal coverage: end date
2019-03-14Language
enPublisher version
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-3-W1/57/2019/Usage metrics
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