TY - GEN
T1 - DART
T2 - 2023 Joint Urban Remote Sensing Event, JURSE 2023
AU - Zhen, Zhijun
AU - Benromdhane, Najmeddine
AU - Kallel, Abdelaziz
AU - Wang, Yingjie
AU - Regaieg, Omar
AU - Boitard, Paul
AU - Landier, Lucas
AU - Chavanon, Eric
AU - Lauret, Nicolas
AU - Guilleux, Jordan
AU - Yin, Tiangang
AU - Leon-Tavares, Jonathan
AU - Gastellu-Etchegorry, Jean Philippe
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/5
Y1 - 2023/5
N2 - The three-dimensional (3D) geometry of cities greatly influences their radiation regime and, consequently, their temperature. However, current remote sensing algorithms often treat urban pixels as Lambertian planes. 3D radiative transfer models such as DART that simulate the radiative budget as well as sensor images of cities (short and long waves) avoid this "Lambertian plane"simplification, which should allow a more accurate assessment of the urban radiation regime. DART can simulate any experimental (e.g., urban geometry with vegetation and topography, sun direction, atmosphere conditions) and sensor (e.g., spatial and spectral resolution) configurations. DART is freely available for education and research (dart.omp.eu). Here we present the application of DART to the inversion of satellite images as maps per type of urban element (i. e. , roofs, streets,...): optical properties in the short wave, and emissivity and temperature in the long wave.
AB - The three-dimensional (3D) geometry of cities greatly influences their radiation regime and, consequently, their temperature. However, current remote sensing algorithms often treat urban pixels as Lambertian planes. 3D radiative transfer models such as DART that simulate the radiative budget as well as sensor images of cities (short and long waves) avoid this "Lambertian plane"simplification, which should allow a more accurate assessment of the urban radiation regime. DART can simulate any experimental (e.g., urban geometry with vegetation and topography, sun direction, atmosphere conditions) and sensor (e.g., spatial and spectral resolution) configurations. DART is freely available for education and research (dart.omp.eu). Here we present the application of DART to the inversion of satellite images as maps per type of urban element (i. e. , roofs, streets,...): optical properties in the short wave, and emissivity and temperature in the long wave.
KW - cities
KW - DART
KW - emissivity
KW - inversion
KW - optical properties
KW - remote sensing
KW - temperature
UR - http://www.scopus.com/inward/record.url?scp=85163705934&partnerID=8YFLogxK
U2 - 10.1109/JURSE57346.2023.10144212
DO - 10.1109/JURSE57346.2023.10144212
M3 - Conference article published in proceeding or book
AN - SCOPUS:85163705934
T3 - 2023 Joint Urban Remote Sensing Event, JURSE 2023
BT - 2023 Joint Urban Remote Sensing Event, JURSE 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 17 May 2023 through 19 May 2023
ER -