Object-based random forest classification for mapping floodplain vegetation structure from nation-wide cir and lidar datasets

L. Kooistra, E.T. Kuilder, C.A. Mücher

Research output: Contribution to conferenceAbstractAcademic

Original languageEnglish
Publication statusPublished - 2014
EventWHISPERS 6th workshop on hyperspectral image and signal processing: Evolution in remote sensing, Lausanne, Switzerland -
Duration: 24 Jun 201427 Jun 2014

Workshop

WorkshopWHISPERS 6th workshop on hyperspectral image and signal processing: Evolution in remote sensing, Lausanne, Switzerland
Period24/06/1427/06/14

Projects

Remote Sensing & Ecosystems (KB-17-001.02-006)

Mücher, S.

1/01/1431/12/14

Project: EZproject

Cite this

Kooistra, L., Kuilder, E. T., & Mücher, C. A. (2014). Object-based random forest classification for mapping floodplain vegetation structure from nation-wide cir and lidar datasets. Abstract from WHISPERS 6th workshop on hyperspectral image and signal processing: Evolution in remote sensing, Lausanne, Switzerland, .