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Drones for Biodiversity Conservation and Ecological Monitoring
Ricardo Díaz-Delgado and Sander Mücher
2019
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Unmanned aerial vehicles (UAV) have already become an affordable and cost-efficient tool to quickly map a targeted area for many emerging applications in the arena of ecological monitoring and biodiversity conservation. Managers, owners, companies, and scientists are using professional drones equipped with high-resolution visible, multispectral, or thermal cameras to assess the state of ecosystems, the effect of disturbances, or the dynamics and changes within biological communities inter alia. We are now at a tipping point on the use of drones for these type of applications over natural areas. UAV missions are increasing but most of them are testing applicability. It is time now to move to frequent revisiting missions, aiding in the retrieval of important biophysical parameters in ecosystems or mapping species distributions. This Special Issue shows UAV applications contributing to a better understanding of biodiversity and ecosystem status, threats, changes, and trends. It documents the enhancement of knowledge in ecological integrity parameters mapping, long-term ecological monitoring based on drones, mapping of alien species spread and distribution, upscaling ecological variables from drone to satellite images: methods and approaches, rapid risk and disturbance assessment using drones, mapping albedo with UAVs, wildlife tracking, bird colony and chimpanzee nest mapping, habitat mapping and monitoring, and a review on drones for conservation in protected areas.
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Keywords
- accuracy
- aerial survey
- albedo
- Biodiversity
- biodiversity threats
- biological conservation
- bird censuses
- boreal forest
- Conservation
- drone
- drone mapping
- drones
- drought
- ecological integrity
- ecological monitoring
- effective management
- field experiments
- flight altitude
- Forest regeneration
- forêt Montmorency
- great apes
- greenness index
- ground-truth
- hyperspectral
- Image processing
- image resolution
- Landsat 8
- long-term monitoring
- low-cost UAV
- LTER
- LTSER
- Motus
- multiscale approach
- multispectral
- multispectral mapping
- native grassland
- NDVI
- Parrot Sequoia
- phenology
- Pinus nigra
- Pinus sylvestris
- Plegadis falcinellus
- precision
- protected areas
- radio-tracking
- random forest
- Response Surface
- rice crops
- RPAS
- Sentinel
- Sentinel-2
- Sequoia
- small UAV
- supervised classification
- survey
- Tanzania
- UAS
- UAV
- UAVs
- unmanned aerial vehicles (UAVs)
- vegetation indices
- western swamphen
Links
DOI: 10.3390/books978-3-03921-981-0Editions
