@article{fdi:010058176,
  title = {{L}and {S}urface {T}emperature product validation using {NOAA}'s surface climate observation networks : scaling methodology for the {V}isible {I}nfrared {I}mager {R}adiometer {S}uite ({VIIRS})},
  author = {{G}uillevic, {P}. {C}. and {P}rivette, {J}. {L}. and {C}oudert, {B}. and {P}alecki, {M}. {A}. and {D}emarty, {J}{\'e}rome and {O}ttle, {C}. and {A}ugustine, {J}. {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{NOAA} will soon use the new {V}isible {I}nfrared {I}mager {R}adiometer {S}uite ({VIIRS}) on the {J}oint {P}olar {S}atellite {S}ystem ({JPSS}) as its primary polar-orbiting satellite imager. {E}mploying a near real-time processing system, {NOAA} will generate a series of {E}nvironmental {D}ata {R}ecords ({EDR}s) from {VIIRS} data. {F}or example, the {VIIRS} {L}and {S}urface {T}emperature ({LST}) {EDR} will estimate the surface skin temperature over all global land areas and provide key information for monitoring {E}arth surface energy and water fluxes. {B}ecause both {VIIRS} and its processing algorithms are new, {NOAA} is conducting a rigorous calibration and validation program to understand and improve product quality. {T}his paper presents a new validation methodology to estimate the quantitative uncertainty in the {LST} {EDR}, and contribute to improving the retrieval algorithm. {I}t employs a physically-based approach to scaling up point {LST} measurements currently made operationally at many field and weather stations around the world. {T}he scaling method consists of the merging information collected at different spatial resolutions within a land surface model to fully characterize large area (km x km scale) satellite products. {T}he approach can be used to explore scaling issues over terrestrial surfaces spanning a large range of climate regimes and land cover types, including forests and mixed vegetated areas. {T}he methodology was tested successfully with {NASA}/{MODIS} data, indicating an absolute error for {MODIS} {LST} products of 2.0 {K} at a mixed agricultural site ({B}ondville, {IL}) when accounting for scaling, and higher than 3 {K} without scaling. {T}he {VIIRS} {LST} {EDR} requires a 1.5 {K} measurement accuracy and 2.5 {K} measurement precision. {U}ltimately, this validation approach should lead to an accurate and continuously-assessed {VIIRS} {LST} product suitable to support weather forecast, hydrological applications, or climate studies. {I}t is readily adaptable to other moderate resolution satellite systems.},
  keywords = {{L}and {S}urface {T}emperature ; {V}alidation ; {NPP} {VIIRS} ; {MODIS} ; {F}ield experiment ; {S}caling problem},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {124},
  numero = {},
  pages = {282--298},
  ISSN = {0034-4257},
  year = {2012},
  DOI = {10.1016/j.rse.2012.05.004},
  URL = {https://www.documentation.ird.fr/hor/fdi:010058176},
}