Remote Sensing of Environment volume 230

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3 Multi-sensor cloud and cloud shadow segmentation with a convolutional neural network; 4 Advantages of retrieving pigment content [μg/cm2] versus concentration [%] from canopy reflectance; 5 A deep learning approach to detecting volcano deformation from satellite imagery using synthetic datasets; 6 Satellite data-driven modeling of field scale evapotranspiration in croplands using the MOD16 algorithm framework; 7 Supplement of the radiance-based method to validate satellite-derived land surface temperature products over heterogeneous land surfaces; 8 Earth observation and social media: Evaluating the spatiotemporal contribution of non-native trees to cultural ecosystem services; 9 Developing a common globally applicable method for optical remote sensing of ecosystem light use efficiency; 10 A physical model-based method for retrieving urban land surface temperatures under cloudy conditions; 11 The ECOSTRESS spectral library version 1.0; 12 Data and resolution requirements in mapping vegetation in spatially heterogeneous landscapes; 13 An Arctic sea ice multi-step classification based on GNSS-R data from the TDS-1 mission; 14 Optical interpretation of oil emulsions in the ocean – Part I: Laboratory measurements and proof-of-concept with AVIRIS observations; 15 Corrigendum to “A model to assess microphytobenthic primary production in tidal systems using satellite remote sensing” [Remote Sens. Environ. 211 (2018) 129–145].
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2019
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Elsevier
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