Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Geoffrey J. Hay"'
Publikováno v:
GIScience & Remote Sensing, Vol 55, Iss 2, Pp 159-182 (2018)
Over the last two decades (since ca. 2000), Geographic Object-Based Image Analysis (GEOBIA) has emerged as a new paradigm to analyzing high-spatial resolution remote-sensing imagery. During this time, research interests have demonstrated a shift from
Externí odkaz:
https://doaj.org/article/fd5783ee5b9243c6ac20d6e1c8f313b2
Publikováno v:
Remote Sensing, Vol 12, Iss 12, p 2012 (2020)
Geographic object-based image analysis (GEOBIA) is a remote sensing image analysis paradigm that defines and examines image-objects: groups of neighboring pixels that represent real-world geographic objects. Recent reviews have examined methodologica
Externí odkaz:
https://doaj.org/article/ccc1bb24b7974ff58823c1e64e23fe3c
Autor:
Mir Mustafizur Rahman, Geoffrey J. Hay, Isabelle Couloigner, Bharanidharan Hemachandran, Jeremy Bailin
Publikováno v:
Remote Sensing, Vol 6, Iss 12, Pp 11810-11828 (2014)
Thermal Infrared (TIR) remote sensing images of urban environments are increasingly available from airborne and satellite platforms. However, limited access to high-spatial resolution (H-res: ~1 m) TIR satellite images requires the use of TIR airborn
Externí odkaz:
https://doaj.org/article/006555cb3a794bfba2ee626c58981078
Publikováno v:
Remote Sensing, Vol 6, Iss 10, Pp 9691-9711 (2014)
The Heat Energy Assessment Technologies (HEAT) project uses high-resolution airborne thermal imagery, Geographic Object-Based Image Analysis (GEOBIA), and a Geoweb environment to allow the residents of Calgary, Alberta, Canada to visualize the amount
Externí odkaz:
https://doaj.org/article/e1a61678aee344a583f8a0e1ff105cbf
Publikováno v:
Remote Sensing, Vol 6, Iss 10, Pp 9435-9457 (2014)
In an effort to minimize complex urban microclimatic variability within high-resolution (H-Res) airborne thermal infrared (TIR) flight-lines, we describe the Thermal Urban Road Normalization (TURN) algorithm, which is based on the idea of pseudo inva
Externí odkaz:
https://doaj.org/article/27797c1a6d9f412aa3dfb6b7d42bb87b
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 8, Iss 11, p 474 (2019)
The primary goal of collecting Earth observation (EO) imagery is to map, analyze, and contribute to an understanding of the status and dynamics of geographic phenomena. In geographic information science (GIScience), the term object-based image analys
Externí odkaz:
https://doaj.org/article/dbade7cd0e9b4d95aa34c8bcf8fe9605
Publikováno v:
Remote Sensing, Vol 3, Iss 8, Pp 1743-1776 (2011)
Cities are complex systems composed of numerous interacting components that evolve over multiple spatio-temporal scales. Consequently, no single data source is sufficient to satisfy the information needs required to map, monitor, model, and ultimatel
Externí odkaz:
https://doaj.org/article/bf3d04b7acb544c2b1eb503ab6b587db
Autor:
Bharanidharan Hemachandran, Joseph L. Arvai, Tak S. Fung, Gang Chen, Christopher Kyle, Geoffrey J. Hay, Mir Mustafizur Rahman
Publikováno v:
Remote Sensing, Vol 3, Iss 7, Pp 1380-1405 (2011)
The HEAT (Home Energy Assessment Technologies) pilot project is a FREE Geoweb mapping service, designed to empower the urban energy efficiency movement by allowing residents to visualize the amount and location of waste heat leaving their homes and c
Externí odkaz:
https://doaj.org/article/17a8b2b6f4b84852a88b84d4adacb507
Autor:
David C. Griffith, Geoffrey J. Hay
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 7, Iss 12, p 462 (2018)
The objective of this study is to evaluate operational methods for creating a particular type of urban vegetation map—one focused on vegetation over rooftops (VOR), specifically trees that extend over urban residential buildings. A key constraint w
Externí odkaz:
https://doaj.org/article/5543fd3037c9417f9ae8dc47bf5afcd5
Autor:
Yindan Zhang, Gang Chen, Soe W. Myint, Yuyu Zhou, Geoffrey J. Hay, Jelena Vukomanovic, Ross K. Meentemeyer
Publikováno v:
Remote Sensing of Environment. 278:113106
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98da5db2427c5c400fac84f4a4f49b2a
https://doi.org/10.1016/j.rse.2022.113106
https://doi.org/10.1016/j.rse.2022.113106