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(2016) Remotely sensed resilience of tropical forests. Nat Clim Chang 6:1028
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Remote Sens 97:696–716. https://doi.org/10.3390/rs9070696
Zeng Y, Su Z, Calvet J-C, Manninen T, Swinnen E, Schulz J, Roebeling R, Poli P, Tan D, Riihela
A, Tanis C-M, Arslan A-N, Obregon A, Kaiser-Weiss A, John V, Timmermans W, Timmermans
J, Kaspar F, Gregow H, Barbu A-L, Fairbairn D, Gelati E, Meurey C (2015) Analysis of current validation practices in Europe for space-based climate data records of essential climate
variables. Int J Appl Earth Obs Geoinformatics 42:150–161
Zhao M et al (2013) Plant phenological modelling and its application in global climate change
research: overview and future challenges. Environ Rev 211:1–14. https://doi.org/10.1139/
er-2012-0036
Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing,
adaptation, distribution and reproduction in any medium or format, as long as you give appropriate
credit to the original author(s) and the source, provide a link to the Creative Commons license and
indicate if changes were made.
The images or other third party material in this chapter are included in the chapter’s Creative
Commons license, unless indicated otherwise in a credit line to the material. If material is not
included in the chapter’s Creative Commons license and your intended use is not permitted by
statutory regulation or exceeds the permitted use, you will need to obtain permission directly from
the copyright holder.
F. Schrodt et al.
Turner W (2014) Sensing biodiversity. Science 346:301–302
Ustin SL, Gamon JA (2010) Remote sensing of plant functional types. New Phytol 186:795–816
Vanbergen AJ et al (2013) Threats to an ecosystem service: pressures on pollinators. Front Ecol
Environ 115:251–259. https://doi.org/10.1890/120126
Verbesselt J, Umlauf N, Hirota M, Holmgren M, Van Nes EH, Herold M, Zeileis A, Scheffer M
(2016) Remotely sensed resilience of tropical forests. Nat Clim Chang 6:1028
Vuolo F et al (2016) Data service platform for sentinel-2 surface reflectance and value-added
products: system use and examples. Remote Sens 811:938. https://doi.org/10.3390/rs8110938.
Wang Q, Ni J, Tenhunen J (2005) Application of a geographically-weighted regression analysis to
estimate net primary production of Chinese forest ecosystems. Glob Ecol Biogeogr 14:379–393
Xie Y, Sha Z, Yu M (2008) Remote sensing imagery in vegetation mapping: a review. J Plant Ecol
1:9–23
Yang LH, Rudolf VHW (2009) Phenology, ontogeny and the effects of climate change on the timing of species interactions. Ecol Lett 13:1–10
Yu D, Wu C (2013) Understanding population segregation from Landsat ETM+ Imagery: a geographically weighted regression approach. GIScience Remote Sens 41:187–206
Zeng C et al (2017) Fusion of multispectral imagery and spectrometer data in UAV remote sensing.
Remote Sens 97:696–716. https://doi.org/10.3390/rs9070696
Zeng Y, Su Z, Calvet J-C, Manninen T, Swinnen E, Schulz J, Roebeling R, Poli P, Tan D, Riihela
A, Tanis C-M, Arslan A-N, Obregon A, Kaiser-Weiss A, John V, Timmermans W, Timmermans
J, Kaspar F, Gregow H, Barbu A-L, Fairbairn D, Gelati E, Meurey C (2015) Analysis of current validation practices in Europe for space-based climate data records of essential climate
variables. Int J Appl Earth Obs Geoinformatics 42:150–161
Zhao M et al (2013) Plant phenological modelling and its application in global climate change
research: overview and future challenges. Environ Rev 211:1–14. https://doi.org/10.1139/
er-2012-0036
Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing,
adaptation, distribution and reproduction in any medium or format, as long as you give appropriate
credit to the original author(s) and the source, provide a link to the Creative Commons license and
indicate if changes were made.
The images or other third party material in this chapter are included in the chapter’s Creative
Commons license, unless indicated otherwise in a credit line to the material. If material is not
included in the chapter’s Creative Commons license and your intended use is not permitted by
statutory regulation or exceeds the permitted use, you will need to obtain permission directly from
the copyright holder.
F. Schrodt et al.
