International Joural of Remote Sensing, 1366-5901

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  1. 2021
  2. Heading variations resolve the heading-direction ambiguity in vertical-beam radar observations of insect migration

    V. Alistair Drake, Zhenhua Hao & Eric Warrant, 2021, In: International Journal of Remote Sensing. 42, 10, p. 3873-3898 26 p.

    Research output: Contribution to journalArticle

  3. 2020
  4. Building extraction from VHR remote sensing imagery by combining an improved deep convolutional encoder-decoder architecture and historical land use vector map

    Wenqing Feng, Haigang Sui, Li Hua, Chuan Xu, Guorui Ma & Weiming Huang, 2020, In: International Journal of Remote Sensing. 41, 17, p. 6595-6617 23 p.

    Research output: Contribution to journalArticle

  5. 2018
  6. A novel change detection approach based on visual saliency and random forest from multi-temporal high-resolution remote-sensing images

    Wenqing Feng, Haigang Sui, Jihui Tu, Weiming Huang & Kaimin Sun, 2018 Nov 17, In: International Journal of Remote Sensing. 39, 22, p. 7998-8021

    Research output: Contribution to journalArticle

  7. 2017
  8. Sensitivity of Sentinel-1 backscatter to characteristics of buildings

    Kalev Koppel, K. Zalite, Kaupo Voormansik & Thomas Jagdhuber, 2017 Nov 17, In: International Journal of Remote Sensing. 38, 22, p. 6298-6318 21 p.

    Research output: Contribution to journalArticle

  9. European Remote Sensing: progress, challenges, and opportunities

    Yifang Ban, Salvatore Marullo & Lars Eklundh, 2017 Apr 3, In: International Journal of Remote Sensing. 38, 7, p. 1759-1764 6 p.

    Research output: Contribution to journalArticle

  10. 2014
  11. Using earth observation-based dry season NDVI trends for assessment of changes in tree cover in the Sahel

    Stéphanie Horion, Rasmus Fensholt, Torbern Tagesson & Andrea Ehammer, 2014 Jan 1, In: International Journal of Remote Sensing. 35, 7, p. 2493-2515 23 p.

    Research output: Contribution to journalArticle

  12. 2013
  13. Assessing woody biomass in African tropical savannahs by multiscale remote sensing

    Weicheng Wu, Eddy De Pauw & Ulf Helldén, 2013, In: International Journal of Remote Sensing. 34, 13, p. 4525-4549

    Research output: Contribution to journalArticle

  14. 2012
  15. 2011
  16. 2009
  17. 2008
  18. 2007
  19. A ground-validated NDVI dataset for monitoring vegetation dynamics and mapping phenology in Fennoscandia and the Kola peninsula

    P S A Beck, P Jönsson, K-A Hogda, S R Karlsen, Lars Eklundh & A K Skidmore, 2007, In: International Journal of Remote Sensing. 28, 19, p. 4311-4330

    Research output: Contribution to journalArticle

  20. Mapping fractional forest cover across the highlands of mainland Southeast Asia using MODIS data and regression tree modelling

    Christian Töttrup, M. S. Rasmussen, Lars Eklundh & P. Jonsson, 2007, In: International Journal of Remote Sensing. 28, 1-2, p. 23-46

    Research output: Contribution to journalArticle

  21. 2006
  22. 2001
  23. 1998
  24. 1995
  25. Cover Coal burning power plants and forest damage in the Czech Republic

    Jonas Ardö, 1995, In: International Journal of Remote Sensing. 16, 6, p. 989-991

    Research output: Contribution to journalArticle

  26. Noise estimation in NOAA AVHRR maximum-value composite NDVI images

    Lars Eklundh, 1995, In: International Journal of Remote Sensing. 16, p. 2955-2962

    Research output: Contribution to journalArticle

  27. 1994
  28. 1993
  29. 1992
  30. 1989
  31. Crop Monitoring in Sweden

    Karin Hall, 1989, In: International Journal of Remote Sensing. p. 461-484

    Research output: Contribution to journalArticle

  32. 1987