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Application of hyperspectral remote sensing for flower mapping in African savannas

  • Published:2015-09 Issue: Volume:166 Page:50-60
  • ISSN:0034-4257
  • Container-title:Remote Sensing of Environment
  • language:en
  • Short-container-title:Remote Sensing of Environment

Author:

Landmann Tobias,Piiroinen Rami,Makori David M.,Abdel-Rahman Elfatih M.,Makau Sospeter,Pellikka Petri,Raina Suresh K.

Funder

European Union

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference54 articles.

1. Continuous management of varroa mite in honey bee, Apis mellifera, colonies;Abou-Shaara;Acarina,2014

2. Classification of multispectral images based on fractions of endmembers: Application to land-cover change in the Brazilian Amazon;Adams;Remote Sensing of Environment,1995

3. The global stock of domesticated honey bees is growing slower than agricultural demand for pollination;Aizen;Current Biology,2009

4. Nonlinear spectral unmixing of hyperspectral images using Gaussian processes;Altmann;Signal Processing, IEEE Transactions on Image Processing,2013

5. Spectral unmixing of vegetation, soil and dry carbon cover in arid regions: Comparing multispectral and hyperspectral observations;Asner;International Journal of Remote Sensing,2002

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