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Radiance image simulation at the bottom of atmosphere in mid-infrared absorption bands |
| LIU Yao1, ZHANG Wenjuan2, ZHANG Bing2, GAN Fuping1 |
1. China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China;
2. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China |
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Abstract This method was illustrated by applying it to simulating bottom-of-atmosphere(BOA) radiance for two 4.3 μm absorption bands of the SPIRIT-Ⅲ sensor by using MODIS data of band 23, which is close to 4.3 μm. First, surface emissivity images in these two 4.3 μm absorption bands were simulated using band translation models. Second, analytic model of BOA radiance was deduced based on an existing analytic model in mid-infrared bands, and then it was combined with simulations from radiative transfer model MODTRAN to calculate parameters of the atmospheric effects for these 4.3 μm absorption bands. Finally, based on the proposed analytic model, BOA radiance in SPIRIT-Ⅲ’s two absorption bands can be generated from surface emissivity, temperature, atmospheric effect parameters and SPIRIT-Ⅲ’s spectral response functions. Accuracy assessment on the simulation results shows that this method can produce surface emissivity and BOA radiance with errors less than 6% and 0.02%, respectively. Therefore, the method proposed in this paper can effectively and precisely simulate BOA radiance for the 4.3 μm absorption bands, and provide radiance datasets for the at-sensor radiance simulation and sensor imaging simulation.
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| Keywords
China HJ-1B satellite
open-cast coal mine region
dry-edge model
land surface temperature(LST)
soil moisture
temperature vegetation dryness index(TVDI)
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Issue Date: 15 August 2017
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2017,
Vol. 29
