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Implementation of CCDC to produce the LCMAP Collection 1.0 annual land surface change product
Earth System Science Data ( IF 11.2 ) Pub Date : 2021-08-13 , DOI: 10.5194/essd-2021-202
George Xian , Kelcy Smith , Danika Wellington , Josephine Horton , Qiang Zhou , Congcong Li , Roger Auch , Jesslyn Brown , Zhe Zhu , Ryan Reker

Abstract. The increasing availability of high-quality remote sensing data and advanced technologies have spurred land cover mapping to characterize land change from local to global scales. However, most land change datasets either span multiple decades at a local scale or cover limited time over a larger geographic extent. Here, we present a new land cover and land surface change dataset created by the Land Change Monitoring, Assessment, and Projection (LCMAP) program over the conterminous United States (CONUS). The LCMAP land cover change dataset consists of annual land cover and land cover change products over the period 1985–2017 at 30-meter resolution using Landsat and other ancillary data via the Continuous Change Detection and Classification (CCDC) algorithm. In this paper, we describe our novel approach to implement the CCDC algorithm to produce the LCMAP product suite composed of five land cover and five land surface change related products. The LCMAP land cover products were validated using a collection of ~25,000 reference samples collected independently across CONUS. The overall agreement for all years of the LCMAP primary land cover product reached 82.5 %. The LCMAP products are produced through the LCMAP Information Warehouse and Data Store (IW+DS) and Shared Mesos Cluster systems that can process, store, and deliver all datasets for public access. To our knowledge, this is the first set of published 30 m annual land cover and land cover change datasets that span from the 1980s to the present for the United States. The LCMAP product suite provides useful information for land resource management and facilitates studies to improve the understanding of terrestrial ecosystems and the complex dynamics of the Earth system. The LCMAP system could be implemented to produce global land change products in the future.

中文翻译:

实施 CCDC 生产 LCMAP Collection 1.0 年度地表变化产品

摘要。高质量遥感数据和先进技术的日益普及促使土地覆盖制图以表征从局部到全球尺度的土地变化。然而,大多数土地变化数据集要么在局部范围内跨越几十年,要么在更大的地理范围内覆盖有限的时间。在这里,我们展示了由美国本土 (CONUS) 土地变化监测、评估和预测 (LCMAP) 计划创建的新土地覆盖和地表变化数据集。LCMAP 土地覆盖变化数据集包括 1985-2017 年期间的年度土地覆盖和土地覆盖变化产品,分辨率为 30 米,使用 Landsat 和其他辅助数据,通过连续变化检测和分类 (CCDC) 算法。在本文中,我们描述了我们实现 CCDC 算法的新方法,以产生由五个土地覆盖和五个地表变化相关产品组成的 LCMAP 产品套件。LCMAP 土地覆盖产品使用在美国本土独立收集的约 25,000 个参考样本进行了验证。LCMAP 主要土地覆盖产品所有年份的总体一致性达到 82.5%。LCMAP 产品是通过 LCMAP 信息仓库和数据存储 (IW+DS) 以及共享 Mesos 集群系统生成的,这些系统可以处理、存储和交付所有数据集以供公众访问。据我们所知,这是美国从 1980 年代到现在发布的第一套每年 30 m 的土地覆盖和土地覆盖变化数据集。LCMAP 产品套件为土地资源管理提供了有用的信息,并促进了研究,以提高对陆地生态系统和地球系统复杂动态的理解。未来可以实施 LCMAP 系统来生产全球土地变化产品。
更新日期:2021-08-13
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