DOI: 10.1016/j.jag.2017.06.007
Scopus记录号: 2-s2.0-85032229600
论文题名: Measuring land-use and land-cover change using the U.S. department of agriculture's cropland data layer: Cautions and recommendations
作者: Lark T ; J ; , Mueller R ; M ; , Johnson D ; M ; , Gibbs H ; K
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2017
卷: 62 起始页码: 224
结束页码: 235
语种: 英语
英文关键词: Agricultural monitoring
; Cropland data layer
; Land use change
; Remote sensing applications
Scopus关键词: agricultural land
; land cover
; land use change
; MODIS
; monitoring
; remote sensing
; satellite imagery
; United States
英文摘要: Monitoring agricultural land is important for understanding and managing food production, environmental conservation efforts, and climate change. The United States Department of Agriculture's Cropland Data Layer (CDL), an annual satellite imagery-derived land cover map, has been increasingly used for this application since complete coverage of the conterminous United States became available in 2008. However, the CDL is designed and produced with the intent of mapping annual land cover rather than tracking changes over time, and as a result certain precautions are needed in multi-year change analyses to minimize error and misapplication. We highlight scenarios that require special considerations, suggest solutions to key challenges, and propose a set of recommended good practices and general guidelines for CDL-based land change estimation. We also characterize a problematic issue of crop area underestimation bias within the CDL that needs to be accounted for and corrected when calculating changes to crop and cropland areas. When used appropriately and in conjunction with related information, the CDL is a valuable and effective tool for detecting diverse trends in agriculture. By explicitly discussing the methods and techniques for post-classification measurement of land-cover and land-use change using the CDL, we aim to further stimulate the discourse and continued development of suitable methodologies. Recommendations generated here are intended specifically for the CDL but may be broadly applicable to additional remotely-sensed land cover datasets including the National Land Cover Database (NLCD), Moderate Resolution Imaging Spectroradiometer (MODIS)-based land cover products, and other regional, national, and global land cover classification maps. © 2017 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80008
Appears in Collections: 气候变化事实与影响
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作者单位: Nelson Institute Center for Sustainability and the Global Environment (SAGE), University of Wisconsin-Madison, United States; U.S. Department of Agriculture, National Agricultural Statistics Service, United States
Recommended Citation:
Lark T,J,, Mueller R,et al. Measuring land-use and land-cover change using the U.S. department of agriculture's cropland data layer: Cautions and recommendations[J]. International Journal of Applied Earth Observation and Geoinformation,2017-01-01,62