Zobrazeno 1 - 10
of 87
pro vyhledávání: '"G. Fedosejevs"'
Publikováno v:
Remote Sensing of Environment. 110:393-409
In order for quantitative applications to make full use of the ever-increasing number of Earth observation satellite systems, data from the various imaging sensors involved must be on a consistent radiometric scale. This paper reports on an investiga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e21770247582512c91049873bcc26d8
https://doi.org/10.1016/j.rse.2007.03.003
https://doi.org/10.1016/j.rse.2007.03.003
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 43:2918-2926
The calibration of airborne and satellite remote sensing sensors is a fundamental step for the rigorous validation of products derived from satellite data. Because of the inaccessibility of Earth Observation Satellites on orbit, the direct calibratio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64a328c99d665714a8483d6b732c7bb0
https://doi.org/10.1109/tgrs.2005.857913
https://doi.org/10.1109/tgrs.2005.857913
Autor:
Yong Du, Rasim Latifovic, Jing M. Chen, Josef Cihlar, Bert Guindon, G. Fedosejevs, Alexander P. Trishchenko
Publikováno v:
Remote Sensing of Environment. 89:217-233
For quantitative studies of vegetation dynamics, satellite data need to be corrected for spurious effects. In this study, we have applied several changes to an earlier advanced very high resolution radiometer (AVHRR) processing methodology (ABC3; [Re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e23c422b57ad85a52a7e91a64f0cfa97
https://doi.org/10.1016/j.rse.2002.06.007
https://doi.org/10.1016/j.rse.2002.06.007
Publikováno v:
International Journal of Remote Sensing. 24:3403-3412
Normalized Difference Vegetation Index (NDVI) data derived from Advanced Very High Resolution Radiometer (AVHRR) data are influenced by cloud contamination, which is common in individual AVHRR scenes. Maximum value compositing (MVC) of NDVI data has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2e2cb03447e6bbf65df7342eae745cb
https://doi.org/10.1080/0143116021000021279
https://doi.org/10.1080/0143116021000021279
Publikováno v:
Canadian Journal of Remote Sensing. 28:713-718
Significant advancements in Earth observation are expected to come about by developing more systematic capabilities for assimilating remote sensing observations and in situ measurements for use in models, at relevant scales, to generate geophysical a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4bf65b933950d0771b1eae1e2821e71
https://doi.org/10.5589/m02-068
https://doi.org/10.5589/m02-068
Publikováno v:
Annals of GIS. 8:31-38
The Advanced Very High Resolution Radiometer (AVHRR) data acquired by the National Oceanic and Atmospheric Administration's (NOAA) satellites provide daily observations of the Earth's surface. While NOAA-14 data from ascending orbits are operationall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e918bc576fb6d33b3802e963c054cda5
https://doi.org/10.1080/10824000209480571
https://doi.org/10.1080/10824000209480571
Autor:
Josef Cihlar, Jing M. Chen, D Morse, D. Stanley, W M Park, Bert Guindon, Zhanqing Li, Robert H. Fraser, Alexander P. Trishchenko, Rasim Latifovic, G. Fedosejevs, M. Adair
Publikováno v:
ResearcherID
Effective use of satellite data for environmental monitoring requires consistent, high-throughput processing of large volumes of data as it is transformed from raw measurements to useful higher-level products. "GeoComp-n", the next generation of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22a95022ce3acd3aab2c52192b1ee4e3
https://doi.org/10.5589/m02-003
https://doi.org/10.5589/m02-003
Publikováno v:
International Journal of Remote Sensing. 23:2939-2950
A variety of cloud types appears in each Advanced Very High Resolution Radiometer (AVHRR) image. Clouds may contaminate solar reflectance data to be used for vegetation studies. This may jeopardize the accuracy of any quantitative results from data a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a82bb4597f1f45629ba555538007084
https://doi.org/10.1080/01431160110075631
https://doi.org/10.1080/01431160110075631
Autor:
M. Adair, P. Hurlburt, Josef Cihlar, R. Keeping, D. Stanley, G. Fedosejevs, A. Erickson, B. Park
Publikováno v:
Canadian Journal of Remote Sensing. 28:1-20
The Geocoding and Compositing System (GeoComp) developed at the Canada Centre for Remote Sensing (CCRS), Natural Resources Canada, has been processing Advanced Very High Resolution Radiometer (AVHRR) data from the United States National Oceanic and A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1edbf2e123be77cec46df926402b772
https://doi.org/10.5589/m02-002
https://doi.org/10.5589/m02-002
Autor:
Alain Royer, G. Fedosejevs, L.J.B. McArthur, Amadou I. Bokoye, Philippe M. Teillet, N.T. O'Neil, Patrick Cliche
Publikováno v:
Atmosphere-Ocean. 39:429-456
Ground‐based sunphotometry measurements acquired under clear sky conditions can be used to investigate atmospheric aerosol optical properties. Such measurements are not only important in their own right as a technique for monitoring generic aerosol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29c968c161bd7d205f6c218cab7df867
https://doi.org/10.1080/07055900.2001.9649687
https://doi.org/10.1080/07055900.2001.9649687