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Machine learning regression algorithm is widely used in remote sensing community. But when the dataset only contains small sample number, how can we use the machine learning regression algorithm?...
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Hello, everyone! Are there all-weather surface and air temperature global products at MODIS pixel scale or up to 5km ? Some scholars have studied and developed algorithms of all-weather surface...
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We all know that solar radiation dataset is important for studying climate change. Some reanalysis and remote sensing datasets are publicly distributed. The question is that which dataset is the...
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It is an intersting and meaningful topic on remote estimation of colored dissolved organic matter (CDOM) in global inland waters. But firstly, a big dataset of field measurements in global inland...
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We know that reflectance is influenced both by solar angle and satellite viewing angle, namely BRDF effects (Bidirectional Reflectance Distribution Function). But few researchers conducted BRDF...
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We mainly focused on optical remote sensing. We know that optical remote sensing images have been widely used for land cover classification. We noticed that some researchers conducted their study...
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