Land cover mapping in an agricultural setting using multiseasonal Thematic Mapper data
Land cover mapping in an agricultural setting using multiseasonal Thematic Mapper data
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DOI：
10.1016/s0034-4257(00)00202-9
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发表时间：
2001-05
影响因子：
13.5
通讯作者：
D. Oetter;W. Cohen;Mercedes Berterretche;T. Maiersperger;R. Kennedy
中科院分区：
文献类型：
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作者：
D. Oetter;W. Cohen;Mercedes Berterretche;T. Maiersperger;R. Kennedy
利用一个多季节的Landsat Theme Mapper(TM)数据集对俄勒冈州西部威拉米特河流域(WRB)的农业和相关土地覆盖进行了研究。图像配准是使用自动地面控制点选择程序完成的。使用基于森林、城市和水域类不变像素识别的半自动方法执行辐射归一化。参考数据是利用现有数据集编制的，其中包括低水平35毫米彩色幻灯片照片、1：24 000彩色航空照片和辅助地理信息系统(地理信息系统)覆盖。对数据结构的初步审查包括参照现有作物日历绘制光谱空间中训练集的时间轨迹。随后的分层、无监督分类算法与地质气候规则集和回归分析相结合，被用于标记映射的单元。绘制了20个土地覆盖等级的地图。课程包括农作物和果园、森林和自然覆盖类型以及城市建筑密度。精度评估表明，最终地图误差仅为26%。这张地图现在被用来模拟盆地的现在和未来的风景。
A multiseasonal Landsat Thematic Mapper (TM) data set consisting of five image dates from a single year was used to characterize agricultural and related land cover in the Willamette River Basin (WRB) of western Oregon. Image registration was accomplished using an automated ground control point selection program. Radiometric normalization was performed using a semiautomated approach based on the identification of no-change pixels in forest, urban, and water classes. Reference data were developed using existing data sets, including low-level 35-mm color slide photographs, 1:24,000 color airphotos, and ancillary geographic information system (GIS) coverages. Preliminary examination of the data structure included plotting of training set temporal trajectories in spectral space with reference to existing crop calendars. A subsequent stratified, unsupervised classification algorithm, in combination with a geoclimatic rule set and regression analysis, was used to label mapped cells. A map of 20 land cover classes was developed. Classes included agricultural crops and orchards, forest and natural cover types, and urban building densities. An accuracy assessment indicated a final map error of only 26%. The map is now being used to model present and future landscapes for the basin.