04335nam 2201057z- 450 991036773680332120231214133251.03-03921-981-2(CKB)4100000010106349(oapen)https://directory.doabooks.org/handle/20.500.12854/45495(EXLCZ)99410000001010634920202102d2019 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierDrones for Biodiversity Conservation and Ecological MonitoringMDPI - Multidisciplinary Digital Publishing Institute20191 electronic resource (176 p.)3-03921-980-4 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.Pinus nigraunmanned aerial vehicles (UAVs)biological conservationprecisionflight altitudeaccuracymultiscale approachlow-cost UAVLTERsmall UAVecological monitoringSequoialong-term monitoringalbedoimage processingvegetation indicesTanzaniaground-truthSentinel-2biodiversity threatsfield experimentseffective managementgreat apesdroneecological integritymultispectralrice cropsconservationprotected areassurveyresponse surfaceaerial surveybird censusesmultispectral mappingdronesUAShyperspectralUAVrandom forestPinus sylvestrisNDVIUAVsParrot Sequoiasupervised classificationdrone mappingRPASgreenness indeximage resolutionPlegadis falcinellusMotusbiodiversityLandsat 8Sentinelboreal forestphenologyLTSERwestern swamphenParrot SEQUOIAnative grasslandforêt Montmorencydroughtforest regenerationradio-trackingMücher C.Aauth1301173Díaz-Delgado RicardoauthBOOK9910367736803321Drones for Biodiversity Conservation and Ecological Monitoring3025760UNINA