Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mohit S. Sharma"'
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:
Gregory Dobler, Federica B. Bianco, Mohit S. Sharma, Andreas Karpf, Julien Baur, Masoud Ghandehari, Jonathan Wurtele, Steven E. Koonin
Publikováno v:
Remote Sensing, Vol 13, Iss 8, p 1426 (2021)
We describe an “Urban Observatory” facility designed for the study of complex urban systems via persistent, synoptic, and granular imaging of dynamical processes in cities. An initial deployment of the facility has been demonstrated in New York C
Externí odkaz:
https://doaj.org/article/ac28efc3b65f497fa0976c8b24d63bd0
Publikováno v:
Sensors, Vol 16, Iss 12, p 2047 (2016)
Using side-facing observations of the New York City (NYC) skyline, we identify lighting technologies via spectral signatures measured with Visible and Near Infrared (VNIR) hyperspectral imaging. The instrument is a scanning, single slit spectrograph
Externí odkaz:
https://doaj.org/article/5a89fbf0093f4a2a9803ce81e6b7e8c7
Autor:
Gregory Dobler, Federica B. Bianco, Masoud Ghandehari, Jonathan Wurtele, Steven E. Koonin, Julien Baur, Andreas Karpf, Mohit S. Sharma
Publikováno v:
Remote Sensing, Vol 13, Iss 1426, p 1426 (2021)
Remote Sensing; Volume 13; Issue 8; Pages: 1426
Remote Sensing; Volume 13; Issue 8; Pages: 1426
We describe an "Urban Observatory" facility designed for the study of complex urban systems via persistent, synoptic, and granular imaging of dynamical processes in cities. An initial deployment of the facility has been demonstrated in New York City
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5386d85efce18c42073f50a76f4126ec
Publikováno v:
GlobalSIP
We present the persistent hyperspectral imaging of the New York City urban lightscape, with ~ 7.2 ×10−4 μm spectral resolution, surveyed over 25 consecutive summer nights over a 6 minute time resolution. We train a supervised classifier to automa
Publikováno v:
Sensors, Vol 16, Iss 12, p 2047 (2016)
Sensors; Volume 16; Issue 12; Pages: 2047
Sensors (Basel, Switzerland)
Sensors; Volume 16; Issue 12; Pages: 2047
Sensors (Basel, Switzerland)
Using side-facing observations of the New York City (NYC) skyline, we identify lighting technologies via spectral signatures measured with Visible and Near Infrared (VNIR) hyperspectral imaging. The instrument is a scanning, single slit spectrograph
Publikováno v:
Proceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments.
Hypertemporal visible imaging of an urban lightscape can reveal the phase of the electrical grid granular to individual housing units. In contrast to in-situ monitoring or metering, this method offers broad, persistent, real-time, and non-permissive
Autor:
Huy T. Vo, Aristides Patrinos, Arya Tafvizi, Mohit S. Sharma, Masoud Ghandehari, Rouzbeh Nazari, Jonathan Wurtele, Gregory Dobler, Steven E. Koonin
Publikováno v:
Information Systems. :115-126
The manifest importance of cities and the advent of novel data about them are stimulating interest in both basic and applied “urban science” (Bettencourt et al., 2007 [4]; Bettencourt, 2013 [3]). A central task in this emerging field is to docume