Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Ali Cafer Gurbuz"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16108-16118 (2024)
NASA's Cyclone Global Navigation Satellite System (CYGNSS) mission has gained significant attention within the land remote sensing community for estimating soil moisture (SM) using the Global Navigation System Reflectometry technique. Multiple algori
Externí odkaz:
https://doaj.org/article/271acbc698ce4e05883e528693963c83
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 6568-6578 (2023)
Global Navigation Satellite Systems (GNSS) Reflectometry (GNSS-R) has gained significant attention in retrieving geophysical parameters of the Earth's surface using ground, airborne, and spaceborne systems in the past decade. Such studies have mainly
Externí odkaz:
https://doaj.org/article/033eb5da974442fb9745f9f80d125888
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 5629-5644 (2023)
A high spatial and temporal resolution global soil moisture product is essential for understanding hydrologic and meteorological processes and enhancing agricultural applications. Global navigation satellite system (GNSS) signals at L-band frequencie
Externí odkaz:
https://doaj.org/article/179dfc1a2cf74fdeb1f8bb4ea1b032c3
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4460 (2023)
Hyperspectral sensors acquire spectral responses from objects with a large number of narrow spectral bands. The large volume of data may be costly in terms of storage and computational requirements. In addition, hyperspectral data are often informati
Externí odkaz:
https://doaj.org/article/b4b95f6c3e754e12841afda8fd222cfe
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 9815-9825 (2021)
High spatiotemporal soil moisture (SM) is essential for many meteorological, hydrological, and agricultural applications and studies. Spaceborne Global Navigation Satellite System-Reflectometry (GNSS-R) provides a promising opportunity for high-resol
Externí odkaz:
https://doaj.org/article/d39ae4ad6b8745a28b00983c8f46d23c
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 1048-1059 (2021)
We investigate the feasibility of using built-in GNSS sensors within ubiquitous smartphone devices from a small UAS for the purpose of land remote sensing. We summarize the experimental findings and challenges that need to be resolved in order to per
Externí odkaz:
https://doaj.org/article/df112fcca2494242834342071d0eef52
Autor:
Dylan Ray Boyd, Ali Cafer Gurbuz, Mehmet Kurum, James L. Garrison, Benjamin R. Nold, Jeffrey R. Piepmeier, Manuel Vega, Rajat Bindlish
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 6101-6114 (2020)
Signals of opportunity (SoOp) reflectometry (SoOp-R) is a maturing field for geophysical remote sensing as evidenced by the growing number of airborne and spaceborne experiments. As this approach receives more attention, it is worth analyzing SoOp-R'
Externí odkaz:
https://doaj.org/article/6c0dc08e93db474b9f188583c3378680
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 6424-6433 (2020)
In remote sensing images, domain adaptation (DA) deals with the regions where labeling information is unknown. Typically, hand-driven features for learning a common distribution among known and unknown regions have been extensively exploited to perfo
Externí odkaz:
https://doaj.org/article/32f8f7fb6baa4d4c9bf56bfe7588624b
Publikováno v:
Remote Sensing, Vol 12, Iss 21, p 3503 (2020)
This paper presents a machine learning (ML) framework to derive a quasi-global soil moisture (SM) product by direct use of the Cyclone Global Navigation Satellite System (CYGNSS)’s high spatio-temporal resolution observations over the tropics (with
Externí odkaz:
https://doaj.org/article/4aff107488bb48e482dfe1b2b3bac07a
SCoBi Multilayer: A Signals of Opportunity Reflectometry Model for Multilayer Dielectric Reflections
Autor:
Dylan Boyd, Mehmet Kurum, Orhan Eroglu, Ali Cafer Gurbuz, James L. Garrison, Benjamin R. Nold, Manuel A. Vega, Jeffrey R. Piepmeier, Rajat Bindlish
Publikováno v:
Remote Sensing, Vol 12, Iss 21, p 3480 (2020)
A multilayer module is incorporated into the Signals of Opportunity (SoOp) Coherent Bistatic Scattering model (SCoBi) for determining the reflections and propagation of electric fields within a series of multilayer dielectric slabs. This module can b
Externí odkaz:
https://doaj.org/article/5ad106cb96e145909ece48924d83c7cb