Comparison of Eight Techniques for Reconstructing Multi-Satellite Sensor Time-Series NDVI Data Sets in the Heihe River Basin, China
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Comparison of Eight Techniques for Reconstructing Multi-Satellite Sensor Time-Series NDVI Data Sets in the Heihe River Basin, China
Authors
Keywords
-
Journal
Remote Sensing
Volume 6, Issue 3, Pages 2024-2049
Publisher
MDPI AG
Online
2014-03-06
DOI
10.3390/rs6032024
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Novel Compound Smoother—RMMEH to Reconstruct MODIS NDVI Time Series
- (2013) Zhenyu Jin et al. IEEE Geoscience and Remote Sensing Letters
- Detecting long-duration cloud contamination in hyper-temporal NDVI imagery
- (2013) Amjad Ali et al. International Journal of Applied Earth Observation and Geoinformation
- Green-up dates in the Tibetan Plateau have continuously advanced from 1982 to 2011
- (2013) Geli Zhang et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Trend Change Detection in NDVI Time Series: Effects of Inter-Annual Variability and Methodology
- (2013) Matthias Forkel et al. Remote Sensing
- Cloud and cloud shadow effects on the MODIS vegetation index composites of the Korean Peninsula
- (2012) Sunyurp Park INTERNATIONAL JOURNAL OF REMOTE SENSING
- Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology
- (2012) Peter M. Atkinson et al. REMOTE SENSING OF ENVIRONMENT
- Evaluation of Earth Observation based global long term vegetation trends — Comparing GIMMS and MODIS global NDVI time series
- (2012) Rasmus Fensholt et al. REMOTE SENSING OF ENVIRONMENT
- Classifying multiyear agricultural land use data from Mato Grosso using time-series MODIS vegetation index data
- (2012) J. Christopher Brown et al. REMOTE SENSING OF ENVIRONMENT
- MODIS-based change vector analysis for assessing wetland dynamics in Southern Africa
- (2012) Tobias Landmann et al. Remote Sensing Letters
- Dynamic downscaling of near-surface air temperature at the basin scale using WRF-a case study in the Heihe River Basin, China
- (2012) Xiaoduo Pan et al. Frontiers of Earth Science
- A Changing-Weight Filter Method for Reconstructing a High-Quality NDVI Time Series to Preserve the Integrity of Vegetation Phenology
- (2011) Wenquan Zhu et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- A time series for monitoring vegetation activity and phenology at 10-daily time steps covering large parts of South America
- (2011) Clement Atzberger et al. International Journal of Digital Earth
- Evaluating the effectiveness of smoothing algorithms in the absence of ground reference measurements
- (2011) Clement Atzberger et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Reprocessing the MODIS Leaf Area Index products for land surface and climate modelling
- (2011) Hua Yuan et al. REMOTE SENSING OF ENVIRONMENT
- Evaluation of Sub-Pixel Cloud Noises on MODIS Daily Spectral Indices Based on in situ Measurements
- (2011) Takeshi Motohka et al. Remote Sensing
- Daily MODIS products for analyzing early season vegetation dynamics across the North Slope of Alaska
- (2010) Raghuram Narasimhan et al. REMOTE SENSING OF ENVIRONMENT
- Analysis of monotonic greening and browning trends from global NDVI time-series
- (2010) Rogier de Jong et al. REMOTE SENSING OF ENVIRONMENT
- A simplified data assimilation method for reconstructing time-series MODIS NDVI data
- (2009) Juan Gu et al. ADVANCES IN SPACE RESEARCH
- Comparison of cloud-reconstruction methods for time series of composite NDVI data
- (2009) Yves Julien et al. REMOTE SENSING OF ENVIRONMENT
- Noise reduction of NDVI time series: An empirical comparison of selected techniques
- (2008) Jennifer N. Hird et al. REMOTE SENSING OF ENVIRONMENT
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now