A comprehensive change detection method for updating the National Land Cover Database to circa 2011
A comprehensive change detection method for updating the National Land Cover Database to circa 2011
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DOI：
10.1016/j.rse.2013.01.012
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发表时间：
2013-05-15
影响因子：
13.5
通讯作者：
Xian, George
中科院分区：
文献类型：
--
作者：
Jin, Suming;Yang, Limin;Xian, George
表征、量化和监测土地覆盖、土地利用及其变化的重要性已得到全球和环境变化研究的广泛认可。自20世纪90年代初以来，三个美国国家土地覆盖数据库（NLCD）产品（约1992年，2001年和2006年）已经发布供用户免费下载。2006年NLCD还提供了2001年至2006年期间的土地覆盖变化产品。为了继续提供最新的国家土地覆被和变化数据集，目前正在开展一项新的举措，编制《2011年国家土地覆被和变化数据集》。我们提出了一种新的综合变化检测方法（CCDM）设计的NLCD 2011年的发展和研究结果的两个范例研究的关键组成部分。CCDM集成了基于光谱的变化检测算法，包括一个多指标综合变化分析（MIICA）模型和一个新的变化模型称为区，它提取变化信息从两个Landsat图像对。MIICA模型是变化检测策略的核心模块，使用四个光谱指数（CV，RCVMAX，dNER和dNDVI）来获得两个图像日期之间发生的变化。该系统还包括一个以知识为基础的系统，利用关于历史和当前土地覆盖状况和趋势以及土地覆盖变化可能性的关键信息，将MIICA和Zone的变化联合收割机结合起来。对于NLCD 2011，从CCDM获得的改进和增强的变化产品提供了关于潜在变化区域的位置，幅度和方向的关键信息，并作为进一步表征全国土地覆盖变化的基础。两个研究区域的准确性评估显示，CCDM映射的无变化类与参考数据集之间的一致性为100%，WRS路径/行p22 r39和p33 r33的变化类的不一致性分别为18%和82%。CCDM的优势在于该方法简单、易于操作、适用范围广，能够捕获各种可能与不同景观土地覆盖变化相关的自然和人为干扰。(C)2013 Elsevier Inc. All rights reserved.
The importance of characterizing, quantifying, and monitoring land cover, land use, and their changes has been widely recognized by global and environmental change studies. Since the early 1990s, three U.S. National Land Cover Database (NLCD) products (circa 1992, 2001, and 2006) have been released as free downloads for users. The NLCD 2006 also provides land cover change products between 2001 and 2006. To continue providing updated national land cover and change datasets, a new initiative in developing NLCD 2011 is currently underway. We present a new Comprehensive Change Detection Method (CCDM) designed as a key component for the development of NLCD 2011 and the research results from two exemplar studies. The CCDM integrates spectral-based change detection algorithms including a Multi-Index Integrated Change Analysis (MIICA) model and a novel change model called Zone, which extracts change information from two Landsat image pairs. The MIICA model is the core module of the change detection strategy and uses four spectral indices (CV, RCVMAX, dNER, and dNDVI) to obtain the changes that occurred between two image dates. The CCDM also includes a knowledge-based system, which uses critical information on historical and current land cover conditions and trends and the likelihood of land cover change, to combine the changes from MIICA and Zone. For NLCD 2011, the improved and enhanced change products obtained from the CCDM provide critical information on location, magnitude, and direction of potential change areas and serve as a basis for further characterizing land cover changes for the nation. An accuracy assessment from the two study areas show 100% agreement between CCDM mapped no-change class with reference dataset, and 18% and 82% disagreement for the change class for WRS path/row p22r39 and p33r33, respectively. The strength of the CCDM is that the method is simple, easy to operate, widely applicable, and capable of capturing a variety of natural and anthropogenic disturbances potentially associated with land cover changes on different landscapes. (C) 2013 Elsevier Inc. All rights reserved.