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Auteur Thomas Hilker |
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Remote sensing technologies for enhancing forest inventories: A review / Joanne C. White in Canadian journal of remote sensing, vol 42 n° 5 ([01/05/2016])
[article]
Titre : Remote sensing technologies for enhancing forest inventories: A review Type de document : Article/Communication Auteurs : Joanne C. White, Auteur ; Nicholas C. Coops, Auteur ; Michael A. Wulder, Auteur ; Mikko Vastaranta, Auteur ; Thomas Hilker, Auteur ; Piotr Tompalski, Auteur Année de publication : 2016 Article en page(s) : pp 619 - 641 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] image optique
[Termes IGN] image satellite
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] photogrammétrie numérique
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] télémétrie laser terrestre
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) Forest inventory and management requirements are changing rapidly in the context of an increasingly complex set of economic, environmental, and social policy objectives. Advanced remote sensing technologies provide data to assist in addressing these escalating information needs and to support the subsequent development and parameterization of models for an even broader range of information needs. This special issue contains papers that use a variety of remote sensing technologies to derive forest inventory or inventory-related information. Herein, we review the potential of 4 advanced remote sensing technologies, which we posit as having the greatest potential to influence forest inventories designed to characterize forest resource information for strategic, tactical, and operational planning: airborne laser scanning (ALS), terrestrial laser scanning (TLS), digital aerial photogrammetry (DAP), and high spatial resolution (HSR)/very high spatial resolution (VHSR) satellite optical imagery. ALS, in particular, has proven to be a transformative technology, offering forest inventories the required spatial detail and accuracy across large areas and a diverse range of forest types. The coupling of DAP with ALS technologies will likely have the greatest impact on forest inventory practices in the next decade, providing capacity for a broader suite of attributes, as well as for monitoring growth over time. Numéro de notice : A2016--127 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1080/07038992.2016.1207484 En ligne : http://dx.doi.org/10.1080/07038992.2016.1207484 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85113
in Canadian journal of remote sensing > vol 42 n° 5 [01/05/2016] . - pp 619 - 641[article]