TY - BOOK AU - Mücher, C.A. AU - Díaz-Delgado, Ricardo AB - 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. DO - 10.3390/books978-3-03921-981-0 ID - OAPEN ID: 43233 KW - Pinus nigra KW - unmanned aerial vehicles (UAVs) KW - biological conservation KW - precision KW - flight altitude KW - accuracy KW - multiscale approach KW - low-cost UAV KW - LTER KW - small UAV KW - ecological monitoring KW - Sequoia KW - long-term monitoring KW - albedo KW - image processing KW - vegetation indices KW - Tanzania KW - ground-truth KW - Sentinel-2 KW - biodiversity threats KW - field experiments KW - effective management KW - great apes KW - drone KW - ecological integrity KW - multispectral KW - rice crops KW - conservation KW - protected areas KW - survey KW - response surface KW - aerial survey KW - bird censuses KW - multispectral mapping KW - drones KW - UAS KW - hyperspectral KW - UAV KW - random forest KW - Pinus sylvestris KW - NDVI KW - UAVs KW - Parrot Sequoia KW - supervised classification KW - drone mapping KW - RPAS KW - greenness index KW - image resolution KW - Plegadis falcinellus KW - Motus KW - biodiversity KW - Landsat 8 KW - Sentinel KW - boreal forest KW - phenology KW - LTSER KW - western swamphen KW - Parrot SEQUOIA KW - native grassland KW - forêt Montmorency KW - drought KW - forest regeneration KW - radio-tracking L1 - https://mdpi.com/books/pdfview/book/1901 LA - English LK - https://directory.doabooks.org/handle/20.500.12854/45495 PB - MDPI - Multidisciplinary Digital Publishing Institute PY - 2019 SN - 9783039219810 SN - 9783039219803 TI - Drones for Biodiversity Conservation and Ecological Monitoringnull ER -