Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Charles K Gatebe"'
Autor:
Charles Ichoku, Luke T Ellison, K Elena Willmot, Toshihisa Matsui, Amin K Dezfuli, Charles K Gatebe, Jun Wang, Eric M Wilcox, Jejung Lee, Jimmy Adegoke, Churchill Okonkwo, John Bolten, Frederick S Policelli, Shahid Habib
Publikováno v:
Environmental Research Letters, Vol 11, Iss 9, p 095005 (2016)
The Northern Sub-Saharan African (NSSA) region, which accounts for 20%–25% of the global carbon emissions from biomass burning, also suffers from frequent drought episodes and other disruptions to the hydrological cycle whose adverse societal impac
Externí odkaz:
https://doaj.org/article/93ae903733d2492abf55f83f3f76acdc
Publikováno v:
Frontiers in Remote Sensing, Vol 2 (2022)
Snow albedo is highly variable over multiple temporal and spatial scales. This variability is more pronounced in areas that experience seasonal snowpack. Satellite retrievals, physically based models and parameterizations for snow albedo all require
Externí odkaz:
https://doaj.org/article/51288c829d13447a8c8fd82a99208987
Autor:
Forrest W. Black, Soma San, Jejung Lee, Rakiya Babamaaji, Charles Ichoku, L. Ellison, Charles K. Gatebe, Khodayar Abdollahi
Publikováno v:
Earth, Vol 2, Iss 20, Pp 340-356 (2021)
Earth
Volume 2
Issue 2
Pages 20-356
Earth
Volume 2
Issue 2
Pages 20-356
The present study investigated the effect of biomass burning on the water cycle using a case study of the Chari–Logone Catchment of the Lake Chad Basin (LCB). The Chari–Logone catchment was selected because it supplies over 90% of the water input
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aec5b5287641910e579a1aeef9a19194
https://doi.org/10.3390/earth2020020
https://doi.org/10.3390/earth2020020
Autor:
Charles K. Gatebe, Wei Li, Knut Stamnes, Masahiro Hori, Tomonori Tanikawa, Rigen Shimada, Teruo Aoki, Nan Chen
Publikováno v:
Remote Sensing of Environment. 219:62-71
Cloud detection and screening constitute critically important first steps required to derive many satellite data products. Traditional threshold-based cloud mask algorithms require a complicated design process and fine tuning for each sensor, and the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::094bb309be5073c03a7455ee85d1dc86
https://doi.org/10.1016/j.rse.2018.09.029
https://doi.org/10.1016/j.rse.2018.09.029
The retrieval of aerosol parameters from passive satellite instruments in cloudy scenes is challenging partly because clouds and cloud-related processes may significantly modify aerosol optical depth (AOD) and particle size, a problem that is further
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::049d88e66ce11c30701d6541250e49a4
https://doi.org/10.5194/amt-2020-246
https://doi.org/10.5194/amt-2020-246
Autor:
John P. Burrows, Soheila Jafariserajehlou, Vladimir Rozanov, Marco Vountas, Charles K. Gatebe
Accurate knowledge of the reflectance from snow/ice covered surface is of fundamental importance for the investigation and retrieval of snow parameters and atmospheric constituents. This is a prerequisite for identifying and quantifying changes in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::172b97d7d22d7d276e658d3aba6d5740
https://doi.org/10.5194/amt-2020-58
https://doi.org/10.5194/amt-2020-58
The Cloud Absorption Radiometer (CAR) Science Team, and the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) recently released a unique dataset of bidirectional reflectance-distribution function (BRDF) of different surface
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61496e5deb270a8604b3c3031b1b52ba
https://doi.org/10.5194/egusphere-egu2020-5818
https://doi.org/10.5194/egusphere-egu2020-5818
Autor:
Shahid Aslam, Sreeja Nag, Charles K. Gatebe, Georgi T. Georgiev, Bert A. Pasquale, Tilak Hewagama
Publikováno v:
IEEE Sensors Journal. 17:5252-5268
Multispectral snapshot imagers are capable of producing 2-D spatial images with a single exposure at selected, numerous wavelengths using the same camera, therefore, operate differently from push broom or whiskbroom imagers. They are payloads of choi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f81a37708941f84ab55e784d811f64cd
https://doi.org/10.1109/jsen.2017.2717384
https://doi.org/10.1109/jsen.2017.2717384
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10:638-653
To completely capture the multiangular reflectance of an opaque surface, one must estimate the bidirectional reflectance distribution function (BRDF), which seeks to represent variations in surface reflectance as a function of measurement and illumin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a5acb483855660da66a087b9cbddd14
https://doi.org/10.1109/jstars.2016.2570683
https://doi.org/10.1109/jstars.2016.2570683
Autor:
Alan H. Strahler, Miguel O. Román, Jing M. Chen, Crystal B. Schaaf, François-Marie Bréon, Hu Zhang, E. Saenz, Ziti Jiao, Yadong Dong, Zhuosen Wang, Xiaowen Li, Michael J. Hill, Charles K. Gatebe, R. Poudyal
Publikováno v:
Remote Sensing of Environment
Remote Sensing of Environment, Elsevier, 2016, 186, pp.135-151. ⟨10.1016/j.rse.2016.08.007⟩
Remote Sensing of Environment, 2016, 186, pp.135-151. ⟨10.1016/j.rse.2016.08.007⟩
Remote Sensing of Environment, Elsevier, 2016, 186, pp.135-151. ⟨10.1016/j.rse.2016.08.007⟩
Remote Sensing of Environment, 2016, 186, pp.135-151. ⟨10.1016/j.rse.2016.08.007⟩
International audience; The semi-empirical, kernel-driven, linear RossThick-LiSparseReciprocal (RTLSR) Bidirectional Reflectance Distribution Function (BRDF) model is used to generate the routine MODIS BRDF/Albedo product due to its global applicabil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7369dcbf7f5b717a6ffbb07a7b8ab8ee
https://doi.org/10.1016/j.rse.2016.08.007
https://doi.org/10.1016/j.rse.2016.08.007