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首页> 外文期刊>International journal of digital Earth >Acquisition probability differences in cloud coverage of the available Landsat observations over mainland Southeast Asia from 1986 to 2015
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Acquisition probability differences in cloud coverage of the available Landsat observations over mainland Southeast Asia from 1986 to 2015

机译:1986年至2015年,云覆盖云覆盖率云覆盖率的概率差异

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摘要

Landsat data are the longest available records that consistently document global change. However, the extent and degree of cloud coverage typically determine its usability, especially in the tropics. In this study, scene-based metadata from the U.S. Geological Survey Landsat inventories, ten-day, monthly, seasonal, and annual acquisition probabilities (AP) of targeted images at various cloud coverage thresholds (10% to 100%) were statistically analyzed using available Landsat TM, ETM+, and OLI observations over mainland Southeast Asia (MSEA) from 1986 to 2015. Four significant results were found. First, the cumulative average acquisition probability of available Landsat observations over MSEA at the 30% cloud cover (CC) threshold was approximately 41.05%. Second, monthly and ten-day level probability statistics for the 30% CC threshold coincide with the temporal distribution of the dry and rainy seasons. This demonstrates that Landsat images acquired during the dry season satisfy the requirements needed for land cover monitoring. Third, differences in acquisition probabilities at the 30% CC threshold are different between the western and eastern regions of MSEA. Finally, the ability of TM, ETM+, and OLI to acquire high-quality imagery has gradually enhanced over time, especially during the dry season, along with consequently larger probabilities at lower CC thresholds.
机译:Landsat数据是始终如一地记录全局变革的最长可用记录。然而,云覆盖范围和程度通常确定其可用性,特别是在热带地区。在本研究中,来自美国地质调查的场景的元数据,各种云覆盖阈值(10%至100%)的有针对性图像的地质调查土地库存,十天,月,季节性和年收购概率(AP)的统计分析从1986年到2015年,在东南亚大陆(MSEA)对大陆的Landsat TM,ETM +和Oli观察。首先,在30%云覆盖(CC)阈值下,在MSEA上的可用Landsat观察的累积平均采集概率约为41.05%。其次,每月和十天级别概率统计到30%CC阈值与干燥和雨季的时间分布一致。这表明干燥季期间获得的Landsat图像满足土地覆盖监测所需的要求。第三,西方和东部地区的30%CC阈值下的收购概率的差异是不同的。最后,TM,ETM +和OLI获取高质量图像的能力随着时间的推移逐渐增强,特别是在干燥季节期间,因此在较低的CC阈值下概率较大。

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