Bo-Hui Tang

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The diurnal cycle of land surface temperature (LST) is an important element of the climate system. Geostationary satellites can provide the diurnal cycle of LST with low spatial resolution and incomplete global coverage, which limits its applications in some studies. In this study, we propose a method to estimate the diurnal cycle of LST at high temporal(More)
—This letter presents a method to calculate the width ω over the half-period of the cosine term in a diurnal temperature cycle (DTC) model. ω deduced from the thermal diffusion equation (TDE) is compared with ω obtained from solar geometry. The results demonstrate that ω deduced from the TDE describes the shape of the DTC model more adequately around(More)
To evaluate the in-flight performance of a new hyperspectral sensor onboard an unmanned aerial vehicle (UAV-HYPER), a comprehensive field campaign was conducted over the Baotou test site in China on 3 September 2011. Several portable reference reflectance targets were deployed across the test site. The radiometric performance of the UAV-HYPER sensor was(More)
This work estimated and validated the land surface temperature (LST) from thermal-infrared Channels 4 (10.8 µm) and 5 (12.0 µm) of the Visible and Infrared Radiometer (VIRR) onboard the second-generation Chinese polar-orbiting FengYun-3A (FY-3A) meteorological satellite. The LST, mean emissivity and atmospheric water vapor content (WVC) were divided into(More)
Leaf Area Index (LAI) defined as the single-side leaf area per unit ground horizontal surface area is a key parameter in many processes and used as an input for various land surface models including vegetation, biogeochemical or global circulation models to characterize detailed information about vegetation [1]. It can be spatially estimated from remotely(More)
One of the main objectives of the thermal infrared (TIR) remote sensing is to extract land surface temperature and spectral emissivity from air-borne/spaceborne hyperspectral TIR data. The central problem of temperature and emissivity separation (TES) is, as Realmuto had pointed out, that we obtain N spectral measurements of radiance and need to find N + 1(More)