Characterizing spatiotemporal non-stationarity in vegetation dynamics in China using MODIS EVI dataset

Environmental Monitoring and Assessment

Volumn 185, Issue 11, 2013, Pages 9019-9035

  Qiu, Bingwen ^a   Zeng, Canying ^a   Tang, Zhenghong ^b   Chen, Chongcheng ^a  

^a FUZHOU UNIVERSITY   (China)

^b UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

China; Enhanced Vegetation Index; Pixel reliability; Spatiotemporal non stationary; Wavelet transform

Indexed keywords

AGRICULTURAL ROBOTS; CROPS; FORESTRY; PIXELS; RADIOMETERS; TROPICS; VEGETATION;

CHINA; ENHANCED VEGETATION INDEX; INTRA-ANNUAL VARIABILITY; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; NONSTATIONARY; SPATIOTEMPORAL VARIABILITY; STATISTICAL PARAMETERS; SUBTROPICAL REGIONS;

WAVELET TRANSFORMS;

ANNUAL VARIATION; CROP; DATA SET; MEADOW; MODIS; PIXEL; SPATIOTEMPORAL ANALYSIS; TEMPORAL VARIATION; TRANSFORM; VEGETATION DYNAMICS; VEGETATION INDEX; WAVELET ANALYSIS;

ARTICLE; CHINA; CLIMATE; CLOUD; CONTROLLED STUDY; CROP; DATA PROCESSING; ENVIRONMENTAL MONITORING; FOREST; IMAGING SYSTEM; LAND USE; LATITUDE; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; SEASONAL VARIATION; SPATIOTEMPORAL ANALYSIS; SUMMER; TROPICS; VEGETATION DYNAMICS; WAVELET ANALYSIS;

CHINA; PLANTS; RADIOMETRY; SPECTROMETERS;

CHINA;

EID: 84885482059     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-013-3231-2     Document Type: Article

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