FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2058049414> ?p ?o ?g. }

• W2058049414 endingPage "411" @default.
• W2058049414 startingPage "400" @default.
• W2058049414 abstract "The bi-directional reflectance distribution function (BRDF) alters the seasonal and inter-annual variations exhibited in Advanced Very High Resolution Radiometer (AVHRR) Normalized Difference Vegetation Index (NDVI) data and this hampers the detection and, consequently, the interpretation of temporal variations in land-surface vegetation. The magnitude and sign of bi-directional effects in commonly used AVHRR data sets depend on land-surface properties, atmospheric composition and the type of atmospheric correction that is applied to the data. We develop an approach to estimate BRDF effects in AVHRR NDVI time series using the Moderate Resolution Imaging Spectrometer (MODIS) BRDF kernels and subsequently adjust NDVI time series to a standard illumination and viewing geometry. The approach is tested on NDVI time series that are simulated for representative AVHRR viewing and illumination geometry. These time series are simulated with a canopy radiative transfer model coupled to an atmospheric radiative transfer model for four different land cover types—tropical forest, boreal forest, temperate forest and grassland – and five different atmospheric conditions – turbid and clear top-of-atmosphere, turbid and clear top-of-atmosphere with a correction for ozone absorption and Rayleigh scattering applied (Pathfinder AVHRR Land data) and ground-observations (fully corrected for atmospheric effects). The simulations indicate that the timing of key phenological stages, such as start and end of growing season and time of maximum greenness, is affected by BRDF effects. Moreover, BRDF effects vary with latitude and season and increase over the time of operation of subsequent NOAA satellites because of orbital drift. Application of the MODIS kernels on simulated NVDI data results in a 50% to 85% reduction of BRDF effects. When applied to the global 18-year global Normalized Difference Vegetation Index (NDVI) Pathfinder data we find BRDF effects similar in magnitude to those in the simulations. Our analysis of the global data shows that BRDF effects are especially large in high latitudes; here we find that in at least 20% of the data BRDF errors are too large for accurate detection of seasonal and interannual variability. These large BRDF errors tend to compensate, however, when averaged over latitude." @default.
• W2058049414 created "2016-06-24" @default.
• W2058049414 creator A5016859864 @default.
• W2058049414 creator A5019696716 @default.
• W2058049414 creator A5024799206 @default.
• W2058049414 creator A5077687719 @default.
• W2058049414 date "2005-12-01" @default.
• W2058049414 modified "2023-10-16" @default.
• W2058049414 title "A method to convert AVHRR Normalized Difference Vegetation Index time series to a standard viewing and illumination geometry" @default.
• W2058049414 cites W1965682604 @default.
• W2058049414 cites W1969697536 @default.
• W2058049414 cites W1981984038 @default.
• W2058049414 cites W1982480630 @default.
• W2058049414 cites W1985394894 @default.
• W2058049414 cites W1998397263 @default.
• W2058049414 cites W1998438756 @default.
• W2058049414 cites W2005840830 @default.
• W2058049414 cites W2012409721 @default.
• W2058049414 cites W2015435324 @default.
• W2058049414 cites W2016045787 @default.
• W2058049414 cites W2025751541 @default.
• W2058049414 cites W2029647802 @default.
• W2058049414 cites W2034187138 @default.
• W2058049414 cites W2046141162 @default.
• W2058049414 cites W2048366450 @default.
• W2058049414 cites W2059317261 @default.
• W2058049414 cites W2069034127 @default.
• W2058049414 cites W2069518465 @default.
• W2058049414 cites W2076296925 @default.
• W2058049414 cites W2084395419 @default.
• W2058049414 cites W2089913583 @default.
• W2058049414 cites W2093675281 @default.
• W2058049414 cites W2100953091 @default.
• W2058049414 cites W2102970817 @default.
• W2058049414 cites W2115548760 @default.
• W2058049414 cites W2116854139 @default.
• W2058049414 cites W2119513445 @default.
• W2058049414 cites W2120636518 @default.
• W2058049414 cites W2125763679 @default.
• W2058049414 cites W2133353144 @default.
• W2058049414 cites W2137976907 @default.
• W2058049414 cites W2138448722 @default.
• W2058049414 cites W2164472044 @default.
• W2058049414 cites W2164601356 @default.
• W2058049414 cites W2169058942 @default.
• W2058049414 cites W2170846069 @default.
• W2058049414 cites W2173121193 @default.
• W2058049414 cites W28693142 @default.
• W2058049414 doi "https://doi.org/10.1016/j.rse.2005.08.017" @default.
• W2058049414 hasPublicationYear "2005" @default.
• W2058049414 type Work @default.
• W2058049414 sameAs 2058049414 @default.
• W2058049414 citedByCount "82" @default.
• W2058049414 countsByYear W20580494142012 @default.
• W2058049414 countsByYear W20580494142013 @default.
• W2058049414 countsByYear W20580494142014 @default.
• W2058049414 countsByYear W20580494142015 @default.
• W2058049414 countsByYear W20580494142017 @default.
• W2058049414 countsByYear W20580494142018 @default.
• W2058049414 countsByYear W20580494142019 @default.
• W2058049414 countsByYear W20580494142020 @default.
• W2058049414 countsByYear W20580494142021 @default.
• W2058049414 countsByYear W20580494142022 @default.
• W2058049414 countsByYear W20580494142023 @default.
• W2058049414 crossrefType "journal-article" @default.
• W2058049414 hasAuthorship W2058049414A5016859864 @default.
• W2058049414 hasAuthorship W2058049414A5019696716 @default.
• W2058049414 hasAuthorship W2058049414A5024799206 @default.
• W2058049414 hasAuthorship W2058049414A5077687719 @default.
• W2058049414 hasConcept C108597893 @default.
• W2058049414 hasConcept C120665830 @default.
• W2058049414 hasConcept C121332964 @default.
• W2058049414 hasConcept C127313418 @default.
• W2058049414 hasConcept C1276947 @default.
• W2058049414 hasConcept C142362112 @default.
• W2058049414 hasConcept C142724271 @default.
• W2058049414 hasConcept C151596937 @default.
• W2058049414 hasConcept C1549246 @default.
• W2058049414 hasConcept C18903297 @default.
• W2058049414 hasConcept C19269812 @default.
• W2058049414 hasConcept C195886398 @default.
• W2058049414 hasConcept C199390426 @default.
• W2058049414 hasConcept C25989453 @default.
• W2058049414 hasConcept C2776133958 @default.
• W2058049414 hasConcept C2777480484 @default.
• W2058049414 hasConcept C2778329001 @default.
• W2058049414 hasConcept C39432304 @default.
• W2058049414 hasConcept C52119013 @default.
• W2058049414 hasConcept C554144382 @default.
• W2058049414 hasConcept C62520636 @default.
• W2058049414 hasConcept C62649853 @default.
• W2058049414 hasConcept C71924100 @default.
• W2058049414 hasConcept C74902906 @default.
• W2058049414 hasConcept C86803240 @default.
• W2058049414 hasConceptScore W2058049414C108597893 @default.
• W2058049414 hasConceptScore W2058049414C120665830 @default.
• W2058049414 hasConceptScore W2058049414C121332964 @default.
• W2058049414 hasConceptScore W2058049414C127313418 @default.

• next