No place to hide: Rare plant detection through remote sensing

@article{Cerrejn2021NoPT,
  title={No place to hide: Rare plant detection through remote sensing},
  author={Carlos Cerrej{\'o}n and Osvaldo Valeria and Philippe Marchand and Richard T. Caners and Nicole J. Fenton},
  journal={Diversity and Distributions},
  year={2021},
  volume={27},
  pages={948 - 961}
}
Detection of rare species is limited by their intrinsic nature and by the constraints associated with traditional field surveys. Remote sensing (RS) provides a powerful alternative to traditional detection methods through the increasing availability of RS products. Here, we assess the capacity of RS at high and medium resolution to detect rare plants with direct and indirect approaches, and how the performance of RS can be influenced by the characteristics of species. 

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References

SHOWING 1-10 OF 110 REFERENCES

Mapping of a rare plant species (Boronia deanei) using hyper‐resolution remote sensing and concurrent ground observation

Boronia deanei is one of many declared rare, and potentially threatened, species of the Australian flora that occur within freshwater swamps and riparian margins. However, a lack of knowledge

PREDICTION OF RARE-PLANT OCCURRENCE: A SOUTHERN APPALACHIAN EXAMPLE

Ecologically sound efforts to manage or reintroduce populations of rare species require detailed knowledge of species habitat requirements. However, the fact that such species are rare implies that

Identifying Species and Monitoring Understorey from UAS-Derived Data: A Literature Review and Future Directions

Understorey vegetation plays an important role in many ecosystems, yet identifying and monitoring understorey vegetation through remote sensing has proved a challenge for researchers and land

Habitat Modeling for Amaranthus pumilus: An Application of Light Detection and Ranging (LIDAR) Data

Abstract Anthropogenic management of dynamic ecosystems has led to decline of species dependent on processes that maintain suitable habitat, particularly on barrier islands. By evaluating

Remote analysis of biological invasion and biogeochemical change.

  • G. AsnerP. Vitousek
  • Environmental Science
    Proceedings of the National Academy of Sciences of the United States of America
  • 2005
TLDR
This remote sensing approach indicates the geographic extent, intensity, and biogeochemical impacts of two distinct invaders; its wider application could enhance the role of remote sensing in ecosystem analysis and management.

Remote sensing of native and invasive species in Hawaiian forests

Remote sensing of plant functional types.

TLDR
A new concept of optically distinguishable functional types ('optical types') is proposed as a unique way to address the scale dependence of this problem and ensure more direct relationships between ecological information and remote sensing observations.

Using unclassified continuous remote sensing data to improve distribution models of red-listed plant species

Remote sensing (RS) data may play an important role in the development of cost-effective means for modelling, mapping, planning and conserving biodiversity. Specifically, at the landscape scale,

Predicting occurrences of geographically restricted rare floral elements with qualitative habitat data

Habitat-directed survey methods are often used for locating narrowly distributed rare species and communities across landscapes, though their predictive accuracy varies, depending on the element

Spectral and physiological uniqueness of perennial pepperweed (Lepidium latifolium)

Abstract Perennial pepperweed is an aggressive, exotic weed invading wetland and riparian areas in California, including the San Francisco Bay/Sacramento–San Joaquin Delta Estuary. Effective
...