KÖNNEN DATEN VON DROHNEN MIT TOPOGRAFISCHE VERMESSSUNGEN KONKURRIEREN?
Nach einer Studie des „Ontario Profi Surveyor“ potentiell ja. Das Team von McIntosh Perry kam zum Schluss, dass ein Digitales Geländemodell (MDE) mit von einer EBee Drohne erfassten Daten
erfolgreich mit der Genauigkeit von herkömmlichen Geländeaufnahme mit RTK GNSS Empfängern konkurrieren kann.
Lesen sie hier den Artikel auf englisch:
LIGHTWEIGHT UNMANNED AERIAL VEHICLES WILL REVOLUTIONIZE SPATIAL ECOLOGY - Karen Anderson and Kevin J Gaston
Ecologists require spatially explicit data to relate structure to function. To date, heavy reliance has been placed on obtaining such data from remote-sensing instruments mounted on spacecraft or manned aircraft, although the spatial and temporal resolutions of the data are often not suited to local-scale ecological investigations. Recent technological innovations have led to an upsurge in the availability of unmanned aerial vehicles (UAVs) – aircraft remotely operated from the ground – and there are now many lightweight UAVs on offer at reasonable costs. Flying low and slow, UAVs offer ecologists new opportunities for scale-appropriate measurements of ecological phenomena. Equipped with capable sensors, UAVs can deliver fine spatial resolution data at temporal resolutions defined by the end user. Recent innovations in UAV platform design have been accompanied by improvements in navigation and the miniaturization of measurement technologies, allowing the study of individual organis
Lightweight unmanned aerial vehicles wil
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SMALL DRONES FOR COMMUNITY-BASED FOREST MONITORING: AN ASSESSMENT OF THEIR FEASIBILITY AND POTENTIAL IN TROPICAL AREAS - J. Paneque-Gálvez, M. K. McCall, Brian M. Napoletano, S. A. Wich, L. Pin Koh
Data gathered through community-based forest monitoring (CBFM) programs may be as accurate as those gathered by professional scientists, but acquired at a much lower cost and capable of providing more detailed data about the occurrence, extent and drivers of forest loss, degradation and regrowth at the community scale. In addition, CBFM enables greater survey repeatability. Therefore, CBFM should be a fundamental component of national forest monitoring systems and programs to measure, report and verify (MRV) REDD+ activities. To contribute to the development of more effective approaches to CBFM, in this paper we assess: (1) the feasibility of using small, low-cost drones (i.e., remotely piloted aerial vehicles) in CBFM programs; (2) their potential advantages and disadvantages for communities, partner organizations and forest data end-users; and (3) to what extent their utilization, coupled with ground surveys and local ecological knowledge, would improve tropical forest monitoring.
Small Drones for Community-Based Forest
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UAV LIDAR FOR BELOW-CANOPY FOREST SURVEYS - Ryan A. Chisholm, Jinqiang Cui, Shawn K. Y. Lum and Ben M. Chen
Remote sensing tools are increasingly being used to survey forest structure. Most current methods rely on GPS signals, which are available in above-canopy surveys or in below-canopy surveys of open forests, but may be absent in below-canopy environments of dense forests. We trialled a technology that facilitates mobile surveys in GPS-denied below-canopy forest environments. The platform consists of a battery-powered UAV mounted with a LiDAR. The use of UAV-mounted LiDAR for below-canopy GPS-denied forest surveys has several current limitations, but appears to be a promising technology.
UAV LiDAR for below-canopy forest survey
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1.6 MB