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通过使用基于知识的算法和微波 (PALSAR-2,Sentinel-1),光学 (Sentinel-2,Landsat) 和热 (MODIS) 图像,绘制中国东北部湿地地图

Chenchen Zhang¹, Xiangming Xiao¹, Xinxin Wang²

¹School of Biological Sciences, Center for Earth Observation and Modeling, University of Oklahoma, Norman, OK, 73019, USA.

Journal of environmental management

|November 21, 2023

概括

准确的湿地地图对于保护至关重要. 这项研究开发了一种使用遥感数据绘制中国东北部湿地的新方法,准确度超过95%,识别了关键的湿地类型.

科学领域:

环境科学环境科学
遥感遥感遥感遥感
生态生态学生态生态学

背景情况:

湿地是支持生物多样性和影响疾病传播的重要生态系统,但面临着严重的退化.
现有的湿地地图存在不准确性,不确定性和不经常更新,阻碍了有效的保护和管理.
准确,最新的湿地数据对于可持续的资源管理和生态保护至关重要.

研究的目的:

开发和验证基于知识的算法,用于各种湿地类型的高分辨率绘制地图.
通过使用集成遥感数据,为中国东北地区创建准确和最新的湿地库存.
评估多源遥感对于湿地监测和保护规划的潜力.

主要方法:

根据植被特征 (生长形式,生命周期,叶子季节性,树冠类型) 定义的湿地类型.
从2020年开始,利用了微波 (PALSAR-2,Sentinel-1),光学 (Landsat,Sentinel-2) 和热 (MODIS LST) 图像的组合.
开发和应用基于知识的算法,以10米空间分辨率对湿地进行分类.

主要成果:

对于生成的湿地地图,总体准确度超过95%.
绘制了2020年中国东北部总共154,254平方公里的湿地.
确定了季节性露天露顶沼泽 (27,219公里),全年封闭露顶沼泽 (69,158公里) 和落叶森林沼泽 (57,878公里) 的特定区域.

结论:

基于知识的算法与多源遥感数据相结合,为准确的湿地绘图和监测提供了强大的方法.
高精度的湿地地图为知情的湿地保护和恢复计划提供了关键数据.
这种方法表明了改善全球湿地库存和支持生态管理战略的巨大潜力.

关键词:

森林沼泽森林沼泽谷歌的地球引擎.基于知识的算法基于知识的算法.季节性露天天棚沼泽区一年长的封闭天沼泽.

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