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Multi-sensor detection of forest-cover change across 45 years in Mato Grosso, Brazil

机译:巴西马托格罗索45年来森林覆盖变化的多传感器检测

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摘要

The ongoing march toward freely available, highly pre-processed satellite imagery has given both researchers and the public unprecedented access to a vast and varied data stream teeming with potential. Among many sources, the multi-decade Landsat archive is certainly the best known, but legacy and current data from other sensors is available as well through the USGS data portals: these include CBERS, ASTER, and more. Though the particular band combinations or non-global missions have made their integration into analyses more challenging, these data, in conjunction with the entire Landsat record, are available to contribute to multi-decade surveys of land-cover change.
机译:正在进行的3月朝着自由提供的,高度预先处理的卫星图像给出了研究人员和公众前所未有的进入巨大和各种数据流的潜力。 在许多消息来源中,多数十年Landsat存档肯定是最着名的,但是来自其他传感器的传统和当前数据也可以通过USGS数据门户提供:这些包括Cbers,Aster等。 虽然特定的乐队组合或非全球任务使其整合到分析中更具挑战性,但这些数据与整个Landsat记录相结合,可供使陆地覆盖变化的多十年调查有助于。

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