Drones for Biodiversity Conservation and Ecological Monitoring
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 equipp...
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| Format: | Book Chapter |
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MDPI - Multidisciplinary Digital Publishing Institute
2019
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| Online Access: | Get Fullteks DOAB: description of the publication |
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| LEADER | 04388naaaa2201009uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_45495 | ||
| 005 | 20210211 | ||
| 020 | |a books978-3-03921-981-0 | ||
| 020 | |a 9783039219810 | ||
| 020 | |a 9783039219803 | ||
| 024 | 7 | |a 10.3390/books978-3-03921-981-0 |c doi | |
| 041 | 0 | |a English | |
| 042 | |a dc | ||
| 100 | 1 | |a Mücher, C.A. |4 auth | |
| 700 | 1 | |a Díaz-Delgado, Ricardo |4 auth | |
| 245 | 1 | 0 | |a Drones for Biodiversity Conservation and Ecological Monitoring |
| 260 | |b MDPI - Multidisciplinary Digital Publishing Institute |c 2019 | ||
| 300 | |a 1 electronic resource (176 p.) | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-nc-nd/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-nc-nd/4.0/ | ||
| 546 | |a English | ||
| 653 | |a Pinus nigra | ||
| 653 | |a unmanned aerial vehicles (UAVs) | ||
| 653 | |a biological conservation | ||
| 653 | |a precision | ||
| 653 | |a flight altitude | ||
| 653 | |a accuracy | ||
| 653 | |a multiscale approach | ||
| 653 | |a low-cost UAV | ||
| 653 | |a LTER | ||
| 653 | |a small UAV | ||
| 653 | |a ecological monitoring | ||
| 653 | |a Sequoia | ||
| 653 | |a long-term monitoring | ||
| 653 | |a albedo | ||
| 653 | |a image processing | ||
| 653 | |a vegetation indices | ||
| 653 | |a Tanzania | ||
| 653 | |a ground-truth | ||
| 653 | |a Sentinel-2 | ||
| 653 | |a biodiversity threats | ||
| 653 | |a field experiments | ||
| 653 | |a effective management | ||
| 653 | |a great apes | ||
| 653 | |a drone | ||
| 653 | |a ecological integrity | ||
| 653 | |a multispectral | ||
| 653 | |a rice crops | ||
| 653 | |a conservation | ||
| 653 | |a protected areas | ||
| 653 | |a survey | ||
| 653 | |a response surface | ||
| 653 | |a aerial survey | ||
| 653 | |a bird censuses | ||
| 653 | |a multispectral mapping | ||
| 653 | |a drones | ||
| 653 | |a UAS | ||
| 653 | |a hyperspectral | ||
| 653 | |a UAV | ||
| 653 | |a random forest | ||
| 653 | |a Pinus sylvestris | ||
| 653 | |a NDVI | ||
| 653 | |a UAVs | ||
| 653 | |a Parrot Sequoia | ||
| 653 | |a supervised classification | ||
| 653 | |a drone mapping | ||
| 653 | |a RPAS | ||
| 653 | |a greenness index | ||
| 653 | |a image resolution | ||
| 653 | |a Plegadis falcinellus | ||
| 653 | |a Motus | ||
| 653 | |a biodiversity | ||
| 653 | |a Landsat 8 | ||
| 653 | |a Sentinel | ||
| 653 | |a boreal forest | ||
| 653 | |a phenology | ||
| 653 | |a LTSER | ||
| 653 | |a western swamphen | ||
| 653 | |a Parrot SEQUOIA | ||
| 653 | |a native grassland | ||
| 653 | |a forêt Montmorency | ||
| 653 | |a drought | ||
| 653 | |a forest regeneration | ||
| 653 | |a radio-tracking | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/1901 |7 0 |z Get Fullteks |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/45495 |7 0 |z DOAB: description of the publication |