Building a hybrid land cover map with crowdsourcing and geographically weighted regression

See, L, Schepaschenko, D, Lesiv, M et al. (21 more authors) (2015) Building a hybrid land cover map with crowdsourcing and geographically weighted regression. ISPRS Journal of Photogrammetry and Remote Sensing, 103. pp. 48-56. ISSN 0924-2716

Abstract

Metadata

Authors/Creators:
  • See, L
  • Schepaschenko, D
  • Lesiv, M
  • McCallum, I
  • Fritz, S
  • Comber, A
  • Perger, C
  • Schill, C
  • Zhao, Y
  • Maus, V
  • Siraj, MA
  • Albrecht, F
  • Cipriani, A
  • Vakolyuk, M
  • Garcia, A
  • Rabia, AH
  • Singha, K
  • Marcarini, AA
  • Kattenborn, T
  • Hazarika, R
  • Schepaschenko, M
  • Van der Velde, M
  • Kraxner, F
  • Obersteiner, M
Copyright, Publisher and Additional Information: © 2014 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. This is an author produced version of a paper published in ISPRS Journal of Photogrammetry and Remote Sensing. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Land cover; Validation; Crowdsourcing; Map integration; Global land cover; Geographically weighted regression
Dates:
  • Published: May 2015
  • Published (online): 19 July 2014
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 07 Sep 2016 15:09
Last Modified: 12 Apr 2017 05:12
Published Version: http://dx.doi.org/10.1016/j.isprsjprs.2014.06.016
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.isprsjprs.2014.06.016
Related URLs:

Share / Export

Statistics