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

Original language	English
Publication status	Published - 2014
Event	WHISPERS 6th workshop on hyperspectral image and signal processing: Evolution in remote sensing, Lausanne, Switzerland - Duration: 24 Jun 2014 → 27 Jun 2014

Workshop

Workshop	WHISPERS 6th workshop on hyperspectral image and signal processing: Evolution in remote sensing, Lausanne, Switzerland
Period	24/06/14 → 27/06/14

Projects

• 1 Finished

Projects per year

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

  Mücher, S.

  1/01/14 → 31/12/14

  Project: EZproject

  • habitat 100%
  • land cover 77%
  • Habitat 71%
  • habitats 67%
  • earth observation 49%

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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.

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

@conference{9e367aedbaa24eee8b8942e93a1d68d9,

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

author = "L. Kooistra and E.T. Kuilder and C.A. M{\"u}cher",

year = "2014",

language = "English",

note = "WHISPERS 6th workshop on hyperspectral image and signal processing: Evolution in remote sensing, Lausanne, Switzerland ; Conference date: 24-06-2014 Through 27-06-2014",

}

Kooistra, L, Kuilder, ET & Mücher, CA 2014, 'Object-based random forest classification for mapping floodplain vegetation structure from nation-wide cir and lidar datasets', WHISPERS 6th workshop on hyperspectral image and signal processing: Evolution in remote sensing, Lausanne, Switzerland, 24/06/14 - 27/06/14.

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

Research output: Contribution to conference › Abstract

TY - CONF

T1 - Object-based random forest classification for mapping floodplain vegetation structure from nation-wide cir and lidar datasets

AU - Kooistra, L.

AU - Kuilder, E.T.

AU - Mücher, C.A.

PY - 2014

Y1 - 2014

M3 - Abstract

T2 - WHISPERS 6th workshop on hyperspectral image and signal processing: Evolution in remote sensing, Lausanne, Switzerland

Y2 - 24 June 2014 through 27 June 2014

ER -

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