DOI: 10.1016/j.jag.2017.06.003
Scopus记录号: 2-s2.0-85032212142
论文题名: Monitoring the brazilian pasturelands: A new mapping approach based on the landsat 8 spectral and temporal domains
作者: Parente L ; , Ferreira L ; , Faria A ; , Nogueira S ; , Araújo F ; , Teixeira L ; , Hagen S
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2017
卷: 62 起始页码: 135
结束页码: 143
语种: 英语
英文关键词: Data availability
; Land-cover
; Landsat
; Mapping
; Pasturelands
; Random forest
Scopus关键词: algorithm
; land cover
; Landsat
; mapping method
; pasture
; spectral analysis
; temporal analysis
; Brazil
英文摘要: In a world marked by a rapid population expansion and an unprecedented increase in per capita income and consumption, sustainable food production is certainly the most pressing issue affecting mankind. Within this context, the brazilian pasturelands, the main land-use form in the country, constitute a particularly important asset as a land reserve, which, through improved land-use strategies and intensification, can meet food security goals and contribute to the mitigation of greenhouse gas emissions. In this study, we utilized the entire set of Landsat 8 images available for Brazil in 2015, from which dozens of seasonal metrics were derived, to produce, through objective criteria and automated classification strategies, a new pasture map for the country. Based on the Random Forest algorithm, individually modelled and applied to each one of the 380 Landsat scenes covering the Brazilian territory, our map showed an overall accuracy of 87%. Another result of this study was the thorough spatial and temporal assessment of Landsat 8 data availability in Brazil, which indicated that about 80% of the country had 12 or fewer observations free of clouds or cloud shadows in 2015. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80000
Appears in Collections: 气候变化事实与影响
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作者单位: Image Processing and GIS Lab (LAPIG), Federal University of Goiás (UFG), Goiânia − GO, Brazil; Applied GeoSolutions 87 Packers Falls Road, Durham, NH, United States
Recommended Citation:
Parente L,, Ferreira L,, Faria A,et al. Monitoring the brazilian pasturelands: A new mapping approach based on the landsat 8 spectral and temporal domains[J]. International Journal of Applied Earth Observation and Geoinformation,2017-01-01,62