Fifth recent advances in quantitative remote sensingJosé Antonio Sobrino Rodríguez Universitat de València, 14 déc. 2018 - 481 pages
The Fifth International Symposium on Recent Advances in Quantitative Remote Sensing was held in Torrent, Spain from 18 to 22 September 2018. It was sponsored and organized by the Global Change Unit (GCU) from the Image Processing Laboratory (IPL), University of Valencia (UVEG), Spain. This Symposium addressed the scientific advances in quantitative remote sensing in connection with real applications. Its main goal was to assess the state of the art of both theory and applications in the analysis of remote sensing data, as well as to provide a forum for researcher in this subject area to exchange views and report their latest results. In this book 89 of the 262 contributions presented in both plenary and poster sessions are arranged according to the scientific topics selected. The papers are ranked in the same order as the final programme. |
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Page vi
... Emissivity Retrieval Algorithm Based on Atmospheric Offset Characteristic from Low emissivity Hyperspectral Thermal Infrared Data 82 CHEN Mengshuo, Wu Hua, Jiang Xiaoguang, Li Zhaoliang, QIAN Yonggang, Wang Ning Hyperspectral indices ...
... Emissivity Retrieval Algorithm Based on Atmospheric Offset Characteristic from Low emissivity Hyperspectral Thermal Infrared Data 82 CHEN Mengshuo, Wu Hua, Jiang Xiaoguang, Li Zhaoliang, QIAN Yonggang, Wang Ning Hyperspectral indices ...
Page vii
... emissivity measured using a portable Fourier transform infrared spectroradiometer 243 Bo-Hui Tang, Zhao-Liang Li, Hua Wu, and Ronglin Tang Validation of Sentinel-2 LAI and FAPAR products derived from SNAP toolbox over a cropland site in ...
... emissivity measured using a portable Fourier transform infrared spectroradiometer 243 Bo-Hui Tang, Zhao-Liang Li, Hua Wu, and Ronglin Tang Validation of Sentinel-2 LAI and FAPAR products derived from SNAP toolbox over a cropland site in ...
Page 21
... emissivity spectral signatures of Earth's surface targets under natural environmental conditions (Milton et al., 2009). In comparison with imaging spectroscopy, the sensing instrument in the field can remain fixed over the subject of ...
... emissivity spectral signatures of Earth's surface targets under natural environmental conditions (Milton et al., 2009). In comparison with imaging spectroscopy, the sensing instrument in the field can remain fixed over the subject of ...
Page 48
... emissivity data), MOD13A2 product (global 1 km 16-day vegetation index data) and MOD09A1 product (global 0.5 km 8-day reflectance data) include the data from February to April and August to October of 2009. To unify the resolution, the ...
... emissivity data), MOD13A2 product (global 1 km 16-day vegetation index data) and MOD09A1 product (global 0.5 km 8-day reflectance data) include the data from February to April and August to October of 2009. To unify the resolution, the ...
Page 64
... emissivity separation using the TES method ( after Gillespie et al . , 1998 ) : they are centered at 8.6 and 9.1 μm ( ~ 0.35 μm banwidth ) . A end - to - end simulator is used to determine the exact shape of TIR spectral filters ...
... emissivity separation using the TES method ( after Gillespie et al . , 1998 ) : they are centered at 8.6 and 9.1 μm ( ~ 0.35 μm banwidth ) . A end - to - end simulator is used to determine the exact shape of TIR spectral filters ...
Table des matières
RARQS2017p339 | 243 |
RARQS2017p341 | 248 |
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RARQS2017s1004 | 260 |
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RARQS2017s604 | 144 |
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RARQS2017p540 | 460 |
RARQS2017 | 464 |
Expressions et termes fréquents
accuracy Agricultural albedo algorithm analysis angle applications atmospheric average backscatter band Beijing brightness temperature C-band calculated calibration China classification climate coefficient comparison computed correlation crop datasets derived detection emissivity error estimation evaluate evapotranspiration FAPAR field Figure FPGA Geoscience and Remote global GNSS grass production grassland greenup date Guangxi hyperspectral IEEE imagery images infrared interpolation inversion Journal land surface temperature Landsat landslide leaf area index linear Livingston Island MAIAC mapping maximum measurements meteorological method MODIS monitoring multispectral NDVI obtained optimized parameters pixels polarization precipitation processing radar radiance radiation reflectance region Remote Sensing remote sensing data Research retrieval rice RMSE sampling satellite data scale Sciences Sensing of Environment sensor shows signal simulated soil moisture solar spatial resolution spectral study area temporal thermal infrared Tibetan Plateau trend TWSA uncertainty validation values variables variation vegetation index Zhang