DOI: 10.1016/j.jag.2016.09.003
Scopus记录号: 2-s2.0-85018643860
论文题名: Agricultural cropland mapping using black-and-white aerial photography, Object-Based Image Analysis and Random Forests
作者: Vogels M ; F ; A ; , de Jong S ; M ; , Sterk G ; , Addink E ; A
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2017
卷: 54 起始页码: 114
结束页码: 123
语种: 英语
英文关键词: Agricultural cropland expansion
; Black-and-white (historical) aerial photography
; GEOBIA
; Land-use change
; Random Forests
Scopus关键词: aerial photography
; agricultural land
; image analysis
; land cover
; land use change
; mapping method
; Ethiopia
; Netherlands
英文摘要: Land-use and land-cover (LULC) conversions have an important impact on land degradation, erosion and water availability. Information on historical land cover (change) is crucial for studying and modelling land- and ecosystem degradation. During the past decades major LULC conversions occurred in Africa, Southeast Asia and South America as a consequence of a growing population and economy. Most distinct is the conversion of natural vegetation into cropland. Historical LULC information can be derived from satellite imagery, but these only date back until approximately 1972. Before the emergence of satellite imagery, landscapes were monitored by black-and-white (B&W) aerial photography. This photography is often visually interpreted, which is a very time-consuming approach. This study presents an innovative, semi-automated method to map cropland acreage from B&W photography. Cropland acreage was mapped on two study sites in Ethiopia and in The Netherlands. For this purpose we used Geographic Object-Based Image Analysis (GEOBIA) and a Random Forest classification on a set of variables comprising texture, shape, slope, neighbour and spectral information. Overall mapping accuracies attained are 90% and 96% for the two study areas respectively. This mapping method increases the timeline at which historical cropland expansion can be mapped purely from brightness information in B&W photography up to the 1930s, which is beneficial for regions where historical land-use statistics are mostly absent. © 2016 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79940
Appears in Collections: 气候变化事实与影响
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作者单位: Utrecht University, Department of Physical Geography, PO Box 80115, Utrecht, Netherlands
Recommended Citation:
Vogels M,F,A,et al. Agricultural cropland mapping using black-and-white aerial photography, Object-Based Image Analysis and Random Forests[J]. International Journal of Applied Earth Observation and Geoinformation,2017-01-01,54