Výsledky vyhledávání - "Aishwarya Chandrasekaran"

Akademický článek

Automated Inventory of Broadleaf Tree Plantations with UAS Imagery

Autor: Aishwarya Chandrasekaran, Guofan Shao, Songlin Fei, Zachary Miller, Joseph Hupy

Publikováno v: Remote Sensing, Vol 14, Iss 8, p 1931 (2022)

With the increased availability of unmanned aerial systems (UAS) imagery, digitalized forest inventory has gained prominence in recent years. This paper presents a methodology for automated measurement of tree height and crown area in two broadleaf t

Externí odkaz: https://doaj.org/article/e6762fa07e5841a89c3d3cf49a8aaf6e

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Akademický článek

A Systematic Review of Best Practices for UAS Data Collection in Forestry-Related Applications

Autor: Connor Cromwell, Jesse Giampaolo, Joseph Hupy, Zachary Miller, Aishwarya Chandrasekaran

Publikováno v: Forests, Vol 12, Iss 7, p 957 (2021)

Recent advancements in unmanned aerial systems and GPS technology, allowing for centimeter precision without ground-based surveys, have been groundbreaking for applications in the field of forestry. As this technology becomes integrated into forest m

Externí odkaz: https://doaj.org/article/dc45a3ea7f1f47fa95cbe675b2036f10

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Application of Postprocessing Kinematic Methods with UAS Remote Sensing in Forest Ecosystems

Autor: Songlin Fei, Aishwarya Chandrasekaran, Zachary Miller, Joseph P. Hupy, Guofan Shao

Publikováno v: Journal of Forestry. 119:454-466

Unmanned Aerial Systems (UAS) serve as an excellent remote-sensing platform to fulfill an aerial imagery data collection niche previously unattainable in forestry by satellites and manned aircraft. However, for UAS-derived data to be spatially repres

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::91318abdc0d34c0ce0b1da9e226efc5e
https://doi.org/10.1093/jofore/fvab021

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Dissertation/ Thesis

AUTOMATED HEIGHT MEASUREMENT AND CANOPY DELINEATION OF HARDWOOD PLANTATIONS USING UAS RGB IMAGERY

Autor: Aishwarya Chandrasekaran (9175433)

Recently, products of Unmanned Aerial System (UAS) integrated through SIFT algorithm and dense cloud matching using structure from motion has gained prominence with tree-level inventory maintenance in forestry. Various studies have been carried out b