Paper Info
Title
Detecting Inter-Annual Variations Of Vegetation Growth Based On Satellite-Sensed Vegetation Index Data From 1983 To 1999
Abstract
The aim of this paper is to detecting inter-annual variations of vegetation growth based on ten-day 8km NOAA/AVHRR NDVI images from 1983 to 1999 taken the temperate steppe, located at the northern China, as study area. Uniform image processing methods were employed to preprocess the multi-temporal NDVI images. The results shown, climate change presented warming and fluctuant precipitation over the past 17 years in this region. Annual maximum NDVI reflect preferably climate change, it increased and it's outset moved up in the past 17 years. An advance of onset and an extension of growth season length were detected.
Year
DOI
Venue
2003
10.1109/IGARSS.2003.1294750
IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES
Keywords
DocType
Volume
vegetative growth,seasonality,climate change,temperature,climatology,spatial resolution,navigation,meteorology,climate changes,image processing
Conference
5
Issue
ISSN
Citations 
null
null
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Xiaobing Li1569.03
Yunhao Chen214727.69
Yida Fan391.90
Yunxia Zhang411.55