DOI: 10.1016/j.jag.2017.08.006
Scopus记录号: 2-s2.0-85032225396
论文题名: MODIS-derived EVI, NDVI and WDRVI time series to estimate phenological metrics in French deciduous forests
作者: Testa S ; , Soudani K ; , Boschetti L ; , Borgogno Mondino E
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2018
卷: 64 起始页码: 132
结束页码: 144
语种: 英语
英文关键词: EVI
; Forest phenology
; MODIS time series
; NDVI
; WDRVI
Scopus关键词: climate change
; climate effect
; deciduous forest
; MODIS
; NDVI
; phenology
; temperate forest
; time series analysis
英文摘要: Monitoring forest phenology allows us to study the effects of climate change on vegetated land surfaces. Daily and composite time series (TS) of several vegetation indices (VIs) from MODerate resolution Imaging Spectroradiometer (MODIS) data have been widely used in scientific works for phenological studies since the beginning of the MODIS mission. The objective of this work was to use MODIS data to find the best VI/TS combination to estimate start-of-season (SOS) and end-of-season (EOS) dates across 50 temperate deciduous forests. Our research used as inputs 2001–2012 daily reflectance from MOD09GQ/MOD09GA products and 16-day composite VIs from the MOD13Q1 dataset. The 50 pixels centered on the 50 forest plots were extracted from the above-mentioned MODIS imagery; we then generated 5 different types of TS (1 daily from MOD09 and 4 composite from MOD13Q1) and used all of them to implement 6 VIs, obtaining 30 VI/TS combinations. SOS and EOS estimates were determined for each pixel/year and each VI/TS combination. SOS/EOS estimations were then validated against ground phenological observations. Results showed that, in our test areas, composite TS, if actual acquisition date is considered, performed mostly better than daily TS. EVI, WDRVI0.20 and NDVI were more suitable to SOS estimation, while WDRVI0.05 and EVI were more convenient in estimating early and advanced EOS, respectively. © 2017 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79881
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Department of Agricultural, Forest and Food Sciences, University of Turin, (TO)Grugliasco, Italy; Univ. Paris-Sud, Laboratoire Ecologie Systématique et Evolution, UMR8079, CNRSOrsay, France; Department of Natural Resources and Society, University of Idaho, Moscow, ID, United States
Recommended Citation:
Testa S,, Soudani K,, Boschetti L,et al. MODIS-derived EVI, NDVI and WDRVI time series to estimate phenological metrics in French deciduous forests[J]. International Journal of Applied Earth Observation and Geoinformation,2018-01-01,64