<italic>A Priori</italic> Surface Reflectance-Based Cloud Shadow Detection Algorithm for Landsat 8 OLI
نویسندگان
چکیده
منابع مشابه
Continuity of Reflectance Data between Landsat-7 ETM+ and Landsat-8 OLI, for Both Top-of-Atmosphere and Surface Reflectance: A Study in the Australian Landscape
The new Landsat-8 Operational Land Imager (OLI) is intended to be broadly compatible with the previous Landsat-7 Enhanced Thematic Mapper Plus (ETM+). The spectral response of the OLI is slightly different to the ETM+, and so there may be slight differences in the reflectance measurements. Since the differences are a function not just of spectral responses, but also of the target pixels, there ...
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Cloud segmentation is a critical pre-processing step for any multi-spectral satellite image application. In particular, disaster-related applications e.g., flood monitoring or rapid damage mapping, which are highly time and data-critical, require methods that produce accurate cloud masks in a short time while being able to adapt to large variations in the target domain (induced by atmospheric c...
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This paper presents the vicarious calibration results of Landsat 8 OLI that were obtained using the reflectance-based approach at test sites in Nevada, California, Arizona, and South Dakota, USA. Additional data were obtained using the Radiometric Calibration Test Site, which is a suite of instruments located at Railroad Valley, Nevada, USA. The results for the top-of-atmosphere spectral radian...
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Clouds and cloud shadows often obscure parts of images acquired by optical space-borne sensors. The clouds and cloud shadows need to be detected and labeled as missing data. This enables subsequent methods to make their own decisions about how the missing data should be handled. Here we propose an automatic method to detect daytime cloud and cloud shadows in the context of tropical forest monit...
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ژورنال
عنوان ژورنال: IEEE Geoscience and Remote Sensing Letters
سال: 2018
ISSN: 1545-598X,1558-0571
DOI: 10.1109/lgrs.2018.2847297