Access count of this item: 17

Files in This Item:
File Description SizeFormat 
isprs-annals-IV-3-W1-57-2019.pdf2.06 MBAdobe PDFView/Open
Title: Mapping spatial accuracy of the forest type classification in JAXA’s high-resolution land use and land cover map
Authors: Tsutsumida, N.
Nagai, S.
Rodríguez-Veiga, P.
Katagi, J.
Nasahara, K.
Tadono, T.
Author's alias: 堤田, 成政
Keywords: LULC
Geographically weighted
Accuracy assessment
Forest type classification
Issue Date: 2019
Publisher: Copernicus GmbH
Journal title: ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume: IV-3/W1
Start page: 57
End page: 63
Abstract: Accuracy 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.
Description: ISPRS Technical Commission III WG III/2, 10 Joint Workshop "Multidisciplinary Remote Sensing for Environmental Monitoring", 12-14 March, Kyoto, Japan.
Rights: © Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License.
DOI(Published Version): 10.5194/isprs-annals-IV-3-W1-57-2019
Appears in Collections:Journal Articles

Show full item record

Export to RefWorks

Export Format: 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.