A Range of Earth Observation Techniques for Assessing Plant Diversity. Lausch, A., Heurich, M., Magdon, P., Rocchini, D., Schulz, K., Bumberger, J., & King, D. J. In Cavender-Bares, J., Gamon, J. A., & Townsend, P. A., editors, Remote Sensing of Plant Biodiversity, pages 309–348. Springer International Publishing, Cham, 2020. ![A Range of Earth Observation Techniques for Assessing Plant Diversity [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Abstract Vegetation diversity and health is multidimensional and only partially understood due to its complexity. So far there is no single monitoring approach that can sufficiently assess and predict vegetation health and resilience. To gain a better understanding of the different remote sensing (RS) approaches that are available, this chapter reviews the range of Earth observation (EO) platforms, sensors, and techniques for assessing vegetation diversity. Platforms include close-range EO platforms, spectral laboratories, plant phenomics facilities, ecotrons, wireless sensor networks (WSNs), towers, air- and spaceborne EO platforms, and unmanned aerial systems (UAS). Sensors include spectrometers, optical imaging systems, Light Detection and Ranging (LiDAR), and radar. Applications and approaches to vegetation diversity modeling and mapping with air- and spaceborne EO data are also presented. The chapter concludes with recommendations for the future direction of monitoring vegetation diversity using RS.
@incollection{cavender-bares_range_2020,
address = {Cham},
title = {A {Range} of {Earth} {Observation} {Techniques} for {Assessing} {Plant} {Diversity}},
isbn = {9783030331566 9783030331573},
url = {http://link.springer.com/10.1007/978-3-030-33157-3_13},
abstract = {Abstract
Vegetation diversity and health is multidimensional and only partially understood due to its complexity. So far there is no single monitoring approach that can sufficiently assess and predict vegetation health and resilience. To gain a better understanding of the different remote sensing (RS) approaches that are available, this chapter reviews the range of Earth observation (EO) platforms, sensors, and techniques for assessing vegetation diversity. Platforms include close-range EO platforms, spectral laboratories, plant phenomics facilities, ecotrons, wireless sensor networks (WSNs), towers, air- and spaceborne EO platforms, and unmanned aerial systems (UAS). Sensors include spectrometers, optical imaging systems, Light Detection and Ranging (LiDAR), and radar. Applications and approaches to vegetation diversity modeling and mapping with air- and spaceborne EO data are also presented. The chapter concludes with recommendations for the future direction of monitoring vegetation diversity using RS.},
language = {en},
urldate = {2022-11-02},
booktitle = {Remote {Sensing} of {Plant} {Biodiversity}},
publisher = {Springer International Publishing},
author = {Lausch, Angela and Heurich, Marco and Magdon, Paul and Rocchini, Duccio and Schulz, Karsten and Bumberger, Jan and King, Doug J.},
editor = {Cavender-Bares, Jeannine and Gamon, John A. and Townsend, Philip A.},
year = {2020},
doi = {10.1007/978-3-030-33157-3_13},
pages = {309--348},
}
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