Characterizing spatiotemporal non-stationarity in vegetation dynamics in China using MODIS EVI dataset
Published 2013 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Characterizing spatiotemporal non-stationarity in vegetation dynamics in China using MODIS EVI dataset
Authors
Keywords
Spatiotemporal non-stationary, Enhanced Vegetation Index, Pixel reliability, Wavelet transform, China
Journal
ENVIRONMENTAL MONITORING AND ASSESSMENT
Volume 185, Issue 11, Pages 9019-9035
Publisher
Springer Nature
Online
2013-05-06
DOI
10.1007/s10661-013-3231-2
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Spatial pattern of non-stationarity and scale-dependent relationships between NDVI and climatic factors—A case study in Qinghai-Tibet Plateau, China
- (2012) Yang Gao et al. ECOLOGICAL INDICATORS
- Spatial–temporal dynamics of NDVI and Chl-a concentration from 1998 to 2009 in the East coastal zone of China: integrating terrestrial and oceanic components
- (2012) Xiyong Hou et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Modifying geographically weighted regression for estimating aboveground biomass in tropical rainforests by multispectral remote sensing data
- (2012) Pavel Propastin International Journal of Applied Earth Observation and Geoinformation
- Large-scale land cover mapping with the integration of multi-source information based on the Dempster–Shafer theory
- (2012) Y.H. Ran et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Dynamics of mountain semi-natural grassland meadows inferred from SPOT-VEGETATION and field spectroradiometer data
- (2012) Isabel Poças et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Using variance analysis of multitemporal MODIS images for rice field mapping in Bali Province, Indonesia
- (2012) I Wayan Nuarsa et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- A wavelet-based approach for monitoring plantation crops (tea: Camellia sinensis) in North East India
- (2012) Alka Singh et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Winter wheat mapping using temporal signatures of MODIS vegetation index data
- (2012) Huasheng Sun et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Effect of topography and accessibility on vegetation dynamic pattern in Mountain-hill Region
- (2012) Bingwen Qiu et al. Journal of Mountain Science
- Assessing phenological change in China from 1982 to 2006 using AVHRR imagery
- (2012) Haiyan Wei et al. Frontiers of Earth Science
- Altitude and temperature dependence of change in the spring vegetation green-up date from 1982 to 2006 in the Qinghai-Xizang Plateau
- (2011) Shilong Piao et al. AGRICULTURAL AND FOREST METEOROLOGY
- Effectiveness of ecological restoration projects in Horqin Sandy Land, China based on SPOT-VGT NDVI data
- (2011) Geli Zhang et al. ECOLOGICAL ENGINEERING
- Trend analysis of vegetation dynamics in Qinghai–Tibet Plateau using Hurst Exponent
- (2011) Jian Peng et al. ECOLOGICAL INDICATORS
- Assessing vegetation dynamics and their relationships with climatic variability in Heilongjiang province, northeast China
- (2011) Wenbin Liu et al. Environmental Earth Sciences
- Recent change of vegetation growth trend in China
- (2011) Shushi Peng et al. Environmental Research Letters
- Characterizing land condition variability in Ferlo, Senegal (2001–2009) using multi-temporal 1-km Apparent Green Cover (AGC) SPOT Vegetation data
- (2011) B. Martínez et al. GLOBAL AND PLANETARY CHANGE
- Integrating AVHRR and MODIS data to monitor NDVI changes and their relationships with climatic parameters in Northeast China
- (2011) Dehua Mao et al. International Journal of Applied Earth Observation and Geoinformation
- Climate-associated changes in spring plant phenology in China
- (2011) Ting Ma et al. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
- Multiscale analysis of the relationship between topography and aboveground biomass in the tropical rainforests of Sulawesi, Indonesia
- (2011) Pavel Propastin INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Classification of MODIS EVI time series for crop mapping in the state of Mato Grosso, Brazil
- (2011) Damien Arvor et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Characteristics and causes of vegetation variation in the source regions of the Yellow River, China
- (2011) Sihai Liang et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Quantifying the area and spatial distribution of double- and triple-cropping croplands in India with multi-temporal MODIS imagery in 2005
- (2011) Chandrashekhar M. Biradar et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- The dynamic of vegetation coverage and its response to climate factors in Inner Mongolia, China
- (2011) Yang Yang et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Monitoring agricultural cropping patterns across the Laurentian Great Lakes Basin using MODIS-NDVI data
- (2010) Ross S. Lunetta et al. International Journal of Applied Earth Observation and Geoinformation
- Climate-related trends in Australian vegetation cover as inferred from satellite observations, 1981-2006
- (2009) RANDALL J. DONOHUE et al. GLOBAL CHANGE BIOLOGY
- Global land surface phenology trends from GIMMS database
- (2009) Y. Julien et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Vegetation dynamics from NDVI time series analysis using the wavelet transform
- (2009) Beatriz Martínez et al. REMOTE SENSING OF ENVIRONMENT
- Crop discrimination in Northern China with double cropping systems using Fourier analysis of time-series MODIS data
- (2008) Zhang Mingwei et al. International Journal of Applied Earth Observation and Geoinformation
- Wavelet analysis of MODIS time series to detect expansion and intensification of row-crop agriculture in Brazil
- (2007) Gillian L. Galford et al. REMOTE SENSING OF ENVIRONMENT
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started