Centre de documentation
scientifique

Monitoring the structure of forest restoration plantations with a drone-lidar system / D.R.A. Almeida in International journal of applied Earth observation and geoinformation, vol 79 (July 2019)  

Public [article]  inInternational journal of applied Earth observation and geoinformation > vol 79 (July 2019) . - pp 192-198 Titre : Monitoring the structure of forest restoration plantations with a drone-lidar system Type de document : Article/Communication Auteurs : D.R.A. Almeida, Auteur ; E.N. Broadbent, Auteur ; A.M.A. Zambrano, Auteur ; Benjamin E. Wilkinson, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 192-198 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] Brésil [Termes IGN] canopée [Termes IGN] densité du feuillage [Termes IGN] données lidar [Termes IGN] forêt tropicale [Termes IGN] gestion forestière durable [Termes IGN] image captée par drone [Termes IGN] indice foliaire [Termes IGN] inventaire forestier étranger (données) [Termes IGN] reboisement [Termes IGN] surveillance forestière Résumé : (auteur) We are in an unprecedented moment for promoting forest restoration globally, with international and regional pledges to restore at least 350 million hectares by 2030. To achieve these ambitious goals, it is necessary to go beyond traditional plot-scale assessments and develop cost-effective technologies that can monitor the structure and function of restored forests at much broader scales. Lidar remote sensing in unmanned aerial vehicle (UAV) platforms can be an agile and autonomous method for monitoring forest restoration projects, especially under conditions when information updates are frequently needed in relatively small areas or, when using an airplane-borne lidar system may be not financially viable. Here, we explored the potential of an UAV-borne lidar system to assess the outcomes of a mixed-species restoration plantation experiment, designed to maximize aboveground biomass (AGB) accumulation. The experiment was established in Brazil’s Atlantic Forest, with 20 native tree species, by combining two levels of planting density and two management levels, totaling four treatment combinations and one control (plots left over for natural regeneration). We analyzed three structural variables from lidar data (canopy height, gap fraction and leaf area index) and one from field inventory data (AGB). Structural differences between the treatments and the control plots were reliably distinguished by the UAV-borne lidar system. AGB was strongly correlated with canopy height, allowing us to elaborate a predictive equation to use the UAV-borne lidar system for monitoring structural features in other restoration plantations in the region. UAV-borne lidar systems showed enormous potential for monitoring relatively broad-scale (thousands of hectares) forest restoration projects, providing an important tool to aid decision making and accountability in forest landscape restoration. Numéro de notice : A2019-468 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.jag.2019.03.014 Date de publication en ligne : 04/04/2019 En ligne : https://doi.org/10.1016/j.jag.2019.03.014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93604 [article]

Economics of mapping using small manned and unmanned aerial vehicles / Orrin H. Thomas in Photogrammetric Engineering & Remote Sensing, PERS, vol 83 n° 8 (August 2017)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 83 n° 8 (August 2017) . - pp 581 - 591 Titre : Economics of mapping using small manned and unmanned aerial vehicles Type de document : Article/Communication Auteurs : Orrin H. Thomas, Auteur ; Charlie E. Smith, Auteur ; Benjamin E. Wilkinson, Auteur Année de publication : 2017 Article en page(s) : pp 581 - 591 Note générale : biblographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] acquisition d'images [Termes IGN] cartographie [Termes IGN] complètement [Termes IGN] couplage GNSS-INS [Termes IGN] coût [Termes IGN] drone [Termes IGN] photogrammétrie aérienne [Termes IGN] véhicule aérien Résumé : (auteur) Specific professional bids to perform aerial data collection using large manned aerial vehicles (LMAV), small manned aerial vehicles (SMAV), and small unmanned aerial systems (UAS) were used to generate general bid models. From these bid models, it was determined what collection methods were competitive for particular jobs based on the project area, distance from the airport or office, and the modeled bids from competing methods. This approach is followed by a discussion of each platform's limitations and versatility. Results indicate that UAS and SMAV and can compete efficiently on aerial photogrammetric mapping up to at least 1,000 acres when the equipment gets enough usage. It is conjectured that this methodology will exert significant downward pressure on the cost of high-end sensors. Numéro de notice : A2017-437 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.83.8.581 En ligne : https://doi.org/10.14358/PERS.83.8.581 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86341 [article]