Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Farid Qamar"'
Autor:
Farid Qamar, Gregory Dobler
Publikováno v:
Plant Methods, Vol 19, Iss 1, Pp 1-21 (2023)
Abstract Background Vegetation spectral reflectance obtained with hyperspectral imaging (HSI) offer non-invasive means for the non-destructive study of their physiological status. The light intensity at visible and near-infrared wavelengths (VNIR, 0.
Externí odkaz:
https://doaj.org/article/7c5226d87a284f19a3cdf04f8e594dc6
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 3854 (2022)
We examine the impact of changes in ozone (O3), particulate matter (PM2.5), temperature, and humidity on the health of vegetation in dense urban environments, using a very high-resolution, ground-based Visible and Near-Infrared (VNIR, 0.4–1.0 μm w
Externí odkaz:
https://doaj.org/article/213ad1782fa548888a20f38aefdef0af
Autor:
Farid Qamar, Gregory Dobler
Publikováno v:
Remote Sensing, Vol 12, Iss 16, p 2540 (2020)
Using ground-based, remote hyperspectral images from 0.4–1.0 micron in ∼850 spectral channels—acquired with the Urban Observatory facility in New York City—we evaluate the use of one-dimensional Convolutional Neural Networks (CNNs) for pixel-
Externí odkaz:
https://doaj.org/article/dc78d6688cad4e6f9adf3c24b2a867e7
Publikováno v:
Cities. 138:104363
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7cf4526bffcc9553fdab0457d4c44ac
https://doi.org/10.1016/j.cities.2023.104363
https://doi.org/10.1016/j.cities.2023.104363
Publikováno v:
WHISPERS
This paper presents a novel framework for estimating the covariance and uncertainties of atmospheric parameters and the reflectance spectra of urban surfaces in high-resolution ground-based hyperspectral images. By integrating open source software fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c14575e313f9fe3b1d4c29a4c91b679f
https://doi.org/10.1109/whispers52202.2021.9483972
https://doi.org/10.1109/whispers52202.2021.9483972
Publikováno v:
Proceedings of the International Astronomical Union. 6:129-132
We use images derived from collapsing, turbulent molecular cloud simulations without sinks to explore the effects of finite image angular resolution and noise on the derived clump mass function. These effects randomly perturb the clump masses, produc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85b4e9eb3dd968313bbac5b4bbdd9d21
https://doi.org/10.1017/s1743921311000287
https://doi.org/10.1017/s1743921311000287