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pro vyhledávání: '"digital aerial photogrammetry (dap)"'
Akademický článek
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Publikováno v:
Virtual Archaeology Review, Vol 13, Iss 27, Pp 49-65 (2022)
Mexico’s vast archaeological research tradition has increased with the use of remote sensing technologies; however, this recent approach is still costly in emerging market economies. In addition, the scales of prospection, landscape, and violence a
Externí odkaz:
https://doaj.org/article/2f94afda1161403c9685a800a03b2b05
Publikováno v:
Frontiers in Forests and Global Change, Vol 5 (2022)
Maps of species composition are important for assessing a wide range of ecosystem functions in forested landscapes, including processes shaping community structure at broader (e.g., climate) and finer (e.g., disturbance) scales. Incorporating recentl
Externí odkaz:
https://doaj.org/article/c71c98aceb5246af98cbb6a4764c10f0
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 9882 (2022)
Digital aerial photogrammetry (DAP) has emerged as an alternative to airborne laser scanning (ALS) for forest inventory applications, as it offers a low-cost and flexible three-dimensional (3D) point cloud. Unlike the forest inventory attributes (e.g
Externí odkaz:
https://doaj.org/article/1b82358297f54068adf356e970cef27c
Autor:
Juan Pedro Carbonell-Rivera, Jesús Torralba, Javier Estornell, Luis Ángel Ruiz, Pablo Crespo-Peremarch
Publikováno v:
Remote Sensing, Vol 14, Iss 1, p 199 (2022)
Modelling fire behaviour in forest fires is based on meteorological, topographical, and vegetation data, including species’ type. To accurately parameterise these models, an inventory of the area of analysis with the maximum spatial and temporal re
Externí odkaz:
https://doaj.org/article/1dc118a9208d4bc2b308a751d6526a28
Publikováno v:
Remote Sensing, Vol 13, Iss 22, p 4506 (2021)
This study evaluates the skills of two types of drone-based point clouds, derived from LiDAR and photogrammetric techniques, in estimating ground elevation, vegetation height, and vegetation density on a highly vegetated salt marsh. The proposed form
Externí odkaz:
https://doaj.org/article/84522854d7fe47c3abd5aa370d479200
Akademický článek
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Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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[EN] Mexico s vast archaeological research tradition has increased with the use of remote sensing technologies; however, this recent approach is still costly in emerging market economies. In addition, the scales of prospection, landscape, and violenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb542b5945ddef3c0bc3b6aa8767ffe7
https://doi.org/10.4995/var.2022.16106
https://doi.org/10.4995/var.2022.16106
Autor:
André Almeida, Fabio Gonçalves, Gilson Silva, Rodolfo Souza, Robert Treuhaft, Weslei Santos, Diego Loureiro, Márcia Fernandes
Publikováno v:
Remote Sensing, Vol 12, Iss 21, p 3560 (2020)
Knowing the aboveground biomass (AGB) stock of tropical forests is one of the main requirements to guide programs for reducing emissions from deforestation and forest degradation (REDD+). Traditional 3D products generated with digital aerial photogra
Externí odkaz:
https://doaj.org/article/fe85a264dad042a7a055968cd47def1c
Autor:
Ranjith Gopalakrishnan, Daniela Ali-Sisto, Mikko Kukkonen, Pekka Savolainen, Petteri Packalen
Publikováno v:
Remote Sensing, Vol 12, Iss 12, p 1943 (2020)
Globally, urban areas are rapidly expanding and high-quality remote sensing products are essential to help guide such development towards efficient and sustainable pathways. Here, we present an algorithm to address a common problem in digital aerial
Externí odkaz:
https://doaj.org/article/90a9e0c7e2bd4264a7dd6d33d90d3452