NDLI: Monitoring the phonological responding to global changing in Northeast Asia based on remotely sensed vegetation index

Content Provider	IEEE Xplore Digital Library
Author	Jiaxin Jin Hong Jiang Xiuying Zhang Ying Wang
Copyright Year	2011
Description	Author affiliation: International Institute for Earth System Science, Nanjing University, Nanjing, China (Jiaxin Jin; Hong Jiang; Xiuying Zhang; Ying Wang)
Abstract	Taking IGBP/GCTE terrestrial transects (NETC and CST) as study areas, the present work extracted NDVI of terrestrial eco-regions in the transects using the MODIS/16-day NDVI from 2004.04 to 2010.08, to investigate the phonological responding of different ecosystems to global changing in Northeast Asia through monitoring the pheological trends such as Onp, EndP, DurP, MaxP, MaxV and RanV from actual temporal NDVI profile. The results show in CST, the OnPs almost appeared an obviously advancing trend, and the DuePs extended in varying degrees while that in NETC mainly showed shortened. The MaxVs in NETC showed a gradually increasing, and MaxPs in the latter appeared an advancing tendency. However, in CST, the MaxVs and MaxPs showed decreasing and delayed respectively. For RanV, in CST, most eco-regions appeared decreasing trend, while those of eco-regions in NETC were relatively stable.
Starting Page	1
Ending Page	4
File Size	276964
Page Count	4
File Format	PDF
ISBN	9781612848495
ISSN	21610258
e-ISBN	9781612848488
DOI	10.1109/GeoInformatics.2011.5981158
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Asia Green products Ecosystems Global changing Eco-region Vegetation mapping Phonology Indexes NDVI Remote sensing Meteorology IGBP/GCTE terrestrial transect
Content Type	Text
Resource Type	Article
Subject	Geography, Planning and Development Computer Networks and Communications Information Systems Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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