New neural network cloud mask algorithm based on radiative transfer simulations
| Autor: | Charles K. Gatebe, Wei Li, Knut Stamnes, Masahiro Hori, Tomonori Tanikawa, Rigen Shimada, Teruo Aoki, Nan Chen |
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| Rok vydání: | 2018 |
| Předmět: |
Flexibility (engineering)
Fine-tuning 010504 meteorology & atmospheric sciences Artificial neural network Computer science business.industry Radiative transfer modeling 0211 other engineering and technologies Soil Science Geology Cloud computing 02 engineering and technology Snow 01 natural sciences Radiative transfer Design process Computers in Earth Sciences business Algorithm 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | Remote Sensing of Environment. 219:62-71 |
| ISSN: | 0034-4257 |
| Popis: | Cloud detection and screening constitute critically important first steps required to derive many satellite data products. Traditional threshold-based cloud mask algorithms require a complicated design process and fine tuning for each sensor, and they have difficulties over areas partially covered with snow/ice. Exploiting advances in machine learning techniques and radiative transfer modeling of coupled environmental systems, we have developed a new, threshold-free cloud mask algorithm based on a neural network classifier driven by extensive radiative transfer simulations. Statistical validation results obtained by using collocated CALIOP and MODIS data show that its performance is consistent over different ecosystems and significantly better than the MODIS Cloud Mask (MOD35 C6) during the winter seasons over snow-covered areas in the mid-latitudes. Simulations using a reduced number of satellite channels also show satisfactory results, indicating its flexibility to be configured for different sensors. Compared to threshold-based methods and previous machine-learning approaches, this new cloud mask (i) does not rely on thresholds, (ii) needs fewer satellite channels, (iii) has superior performance during winter seasons in mid-latitude areas, and (iv) can easily be applied to different sensors. |
| Databáze: | OpenAIRE |
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