气候变化领域集成服务门户(CCPortal): Could land surface phenology be used to discriminate Mediterranean pine species?

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DOI	10.1016/j.jag.2018.11.003
	Could land surface phenology be used to discriminate Mediterranean pine species?
	Aragones D.; Rodriguez-Galiano V.F.; Caparros-Santiago J.A.; Navarro-Cerrillo R.M.
发表日期	2019
ISSN	15698432
起始页码	281
结束页码	294
卷号	78
英文摘要	Land surface phenology (LSP) can improve the monitoring of forest areas and their change processes. The aim of this study was to characterize the temporal dynamics in Mediterranean pines and evaluate the potential of LSP for species discrimination. We used 661 mono-specific plots for five different Pinus species (Pinus halepensis, P. pinea, P. pinaster; P. sylvestris, P. nigra) and the MOD13Q1-NDVI time series (2000–2016) to perform the analyses. The time series were smoothed to extract the phenological parameters and calculate multi-temporal metrics, to synthesize the inter-annual variability. The potential of LSP for discriminating between Pinus species was evaluated by the application of the Random Forest (RF) classifier from different subsets of explanatory variables: i) the smooth time series; ii) the multi-temporal metrics; and iii) the multi-temporal metrics plus the auxiliary physical variables. This latter subset was also used as input to a Classification and Regression Tree (CART) algorithm to better explain the differences between Pinus species regarding LSP parameters and other environmental drivers. The analysis showed two different patterns: an important NDVI decrease during the summer for P. halepensis, P. pinea, and P. pinaster; and lower NDVI variation along the year for P. sylvestris. P. nigra showed a heterogeneous intra-specific behavior, having locations with different patterns. We distinguished Pinus species plots with a global accuracy of 0.82, when we used multi-temporal metrics of LSP and auxiliary physical variables. More generally, the Mediterranean Pinus species could be differentiated considering the 23rd of July as the start of season and 179 km and 1100 m as distance to the coastline and elevation, respectively. © 2018
英文关键词	BFAST; MODIS; National Forest inventory; NDVI; Random forest; Timesat
语种	英语
scopus关键词	algorithm; cloud forest; coniferous tree; forest inventory; land surface; MODIS; NDVI; phenology; spatiotemporal analysis; Pinus halepensis; Pinus nigra; Pinus pinaster; Pinus pinea; Pinus sylvestris
来源期刊	International Journal of Applied Earth Observation and Geoinformation
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156487
作者单位	Remote Sensing and Geographic Information Systems Lab (LAST-EBD), Estación Biológica de Doñana, C.S.I.C., Seville, 41092, Spain; Physical Geography and Regional Geographical Analysis, University of Seville, Seville, 41004, Spain; Department of Forestry Engineering, ETSIAM, University of Córdoba, Agrifood Campus of International Excellence (ceiA3), Córdoba, 14071, Spain
推荐引用方式 GB/T 7714	Aragones D.,Rodriguez-Galiano V.F.,Caparros-Santiago J.A.,et al. Could land surface phenology be used to discriminate Mediterranean pine species?[J],2019,78.
APA	Aragones D.,Rodriguez-Galiano V.F.,Caparros-Santiago J.A.,&Navarro-Cerrillo R.M..(2019).Could land surface phenology be used to discriminate Mediterranean pine species?.International Journal of Applied Earth Observation and Geoinformation,78.
MLA	Aragones D.,et al."Could land surface phenology be used to discriminate Mediterranean pine species?".International Journal of Applied Earth Observation and Geoinformation 78(2019).