气候变化领域集成服务门户(CCPortal): Surface albedo as a proxy for land-cover clearing in seasonally dry forests: Evidence from the Brazilian Caatinga

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DOI	10.1016/j.rse.2019.111250
	Surface albedo as a proxy for land-cover clearing in seasonally dry forests: Evidence from the Brazilian Caatinga
	Cunha J.; Nóbrega R.L.B.; Rufino I.; Erasmi S.; Galvão C.; Valente F.
发表日期	2020
ISSN	00344257
卷号	238
英文摘要	Ongoing increase in human and climate pressures, in addition to the lack of monitoring initiatives, makes the Caatinga one of the most vulnerable forests in the world. The Caatinga is located in the semi-arid region of Brazil and its vegetation phenology is highly dependent on precipitation, which has a high spatial and temporal variability. Under these circumstances, satellite image-based methods are valued due to their ability to uncover human-induced changes from climate effects on land cover. In this study, a time series stack of 670 Landsat images over a period of 31 years (1985–2015) was used to investigate spatial and temporal patterns of land-cover clearing (LCC) due to vegetation removal in an area of the Caatinga. We compared the LCC detection accuracy of three spectral indices, i.e., the surface albedo (SA), the Enhanced Vegetation Index (EVI) and the Normalized Difference Vegetation Index (NDVI). We applied a residual trend analysis (TSS-RESTREND) to attenuate seasonal climate effects on the vegetation time series signal and to detect only significant structural changes (breakpoints) from monthly Landsat time series. Our results show that SA was able to identify the general occurrence of LCC and the year that it occurred with a higher accuracy (89 and 62%, respectively) compared to EVI (44 and 22%) and NDVI (46 and 22%). The overall outcome of the study shows the benefits of using Landsat time series and a spectral index that incorporates the short-wave infrared range, such as the SA, compared to visible and near-infrared vegetation indices for monitoring LCC in seasonally dry forests such as the Caatinga. © 2019 Elsevier Inc.
英文关键词	Land-cover change; Landsat; Semi-arid climate; Time series; Vegetation index
语种	英语
scopus关键词	Forestry; Infrared devices; Infrared radiation; Solar radiation; Time series; Time series analysis; Vegetation; Enhanced vegetation index; Land-cover change; LANDSAT; Normalized difference vegetation index; Semi-arid climate; Spatial and temporal patterns; Spatial and temporal variability; Vegetation index; Climate change; albedo; caatinga; dry forest; land cover; Landsat; NDVI; phenology; semiarid region; time series; trend analysis; Brazil
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179478
作者单位	Federal University of Campina Grande, Centre for the Sustainable Development of the Semi - Arid, Sumé, Brazil; University of Reading, School of Archaeology, Geography and Environmental Science, Reading, United Kingdom; Imperial College London, Faculty of Natural Sciences, Department of Life Sciences, Silwood Park Campus, Ascot, United Kingdom; Federal University of Campina Grande, Centre for Natural Resources and Technology, Campina Grande, Brazil; University of Gottingen, Institute of Geography, Cartography GIS & Remote Sensing Section, Goettingen, Germany; University of Lisbon, School of Agriculture, Forest Research Centre (CEF), Tapada da Ajuda, Lisbon, 1349-017, Portugal
推荐引用方式 GB/T 7714	Cunha J.,Nóbrega R.L.B.,Rufino I.,et al. Surface albedo as a proxy for land-cover clearing in seasonally dry forests: Evidence from the Brazilian Caatinga[J],2020,238.
APA	Cunha J.,Nóbrega R.L.B.,Rufino I.,Erasmi S.,Galvão C.,&Valente F..(2020).Surface albedo as a proxy for land-cover clearing in seasonally dry forests: Evidence from the Brazilian Caatinga.Remote Sensing of Environment,238.
MLA	Cunha J.,et al."Surface albedo as a proxy for land-cover clearing in seasonally dry forests: Evidence from the Brazilian Caatinga".Remote Sensing of Environment 238(2020).