The Potential of the Least-Squares Spectral and Cross-Wavelet Analyses for Near-Real-Time Disturbance Detection within Unequally Spaced Satellite Image Time Series
出版年份 2020 全文链接
标题
The Potential of the Least-Squares Spectral and Cross-Wavelet Analyses for Near-Real-Time Disturbance Detection within Unequally Spaced Satellite Image Time Series
作者
关键词
-
出版物
Remote Sensing
Volume 12, Issue 15, Pages 2446
出版商
MDPI AG
发表日期
2020-07-31
DOI
10.3390/rs12152446
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- LSWAVE: a MATLAB software for the least-squares wavelet and cross-wavelet analyses
- (2019) Ebrahim Ghaderpour et al. GPS SOLUTIONS
- Cloud Detection in Remote Sensing Images Based on Multiscale Features-Convolutional Neural Network
- (2019) Zhenfeng Shao et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- A cloud detection algorithm for satellite imagery based on deep learning
- (2019) Jacob Høxbroe Jeppesen et al. REMOTE SENSING OF ENVIRONMENT
- Non-stationary and unequally spaced NDVI time series analyses by the LSWAVE software
- (2019) Ebrahim Ghaderpour et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Tropospheric corrections for InSAR: Statistical assessments and applications to the Central United States and Mexico
- (2019) Kyle D. Murray et al. REMOTE SENSING OF ENVIRONMENT
- Antileakage least-squares spectral analysis for seismic data regularization and random noise attenuation
- (2018) Ebrahim Ghaderpour et al. GEOPHYSICS
- Least-squares cross-wavelet analysis and its applications in geophysical time series
- (2018) Ebrahim Ghaderpour et al. JOURNAL OF GEODESY
- Improving near-real time deforestation monitoring in tropical dry forests by combining dense Sentinel-1 time series with Landsat and ALOS-2 PALSAR-2
- (2018) Johannes Reiche et al. REMOTE SENSING OF ENVIRONMENT
- On the Complexity of the Weighted Fused Lasso
- (2018) Jose Bento et al. IEEE SIGNAL PROCESSING LETTERS
- Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications
- (2017) Zhe Zhu ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Least-Squares Wavelet Analysis of Unequally Spaced and Non-stationary Time Series and Its Applications
- (2017) Ebrahim Ghaderpour et al. Mathematical Geosciences
- The effects of environmental and socioeconomic factors on land-use changes: a study of Alberta, Canada
- (2016) Xiaofeng Ruan et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Characterization of Landsat-7 to Landsat-8 reflective wavelength and normalized difference vegetation index continuity
- (2016) D.P. Roy et al. REMOTE SENSING OF ENVIRONMENT
- Generating synthetic Landsat images based on all available Landsat data: Predicting Landsat surface reflectance at any given time
- (2015) Zhe Zhu et al. REMOTE SENSING OF ENVIRONMENT
- Detecting changes in vegetation trends using time series segmentation
- (2015) Sadegh Jamali et al. REMOTE SENSING OF ENVIRONMENT
- Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsats 4–7, 8, and Sentinel 2 images
- (2015) Zhe Zhu et al. REMOTE SENSING OF ENVIRONMENT
- Comparison of the Continuity of Vegetation Indices Derived from Landsat 8 OLI and Landsat 7 ETM+ Data among Different Vegetation Types
- (2015) Xiaojun She et al. Remote Sensing
- A Bayesian Approach to Combine Landsat and ALOS PALSAR Time Series for Near Real-Time Deforestation Detection
- (2015) Johannes Reiche et al. Remote Sensing
- A spatially variable power law tropospheric correction technique for InSAR data
- (2015) D. P. S. Bekaert et al. JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
- Effectiveness of the BFAST algorithm for detecting vegetation response patterns in a semi-arid region
- (2014) Laura M. Watts et al. REMOTE SENSING OF ENVIRONMENT
- Landsat-8: Science and product vision for terrestrial global change research
- (2014) D.P. Roy et al. REMOTE SENSING OF ENVIRONMENT
- Continuous change detection and classification of land cover using all available Landsat data
- (2014) Zhe Zhu et al. REMOTE SENSING OF ENVIRONMENT
- Local Vegetation Trends in the Sahel of Mali and Senegal Using Long Time Series FAPAR Satellite Products and Field Measurement (1982–2010)
- (2014) Martin Brandt et al. Remote Sensing
- The global availability of Landsat 5 TM and Landsat 7 ETM+ land surface observations and implications for global 30m Landsat data product generation
- (2013) V. Kovalskyy et al. REMOTE SENSING OF ENVIRONMENT
- Toward near real-time monitoring of forest disturbance by fusion of MODIS and Landsat data
- (2013) Qinchuan Xin et al. REMOTE SENSING OF ENVIRONMENT
- A review of large area monitoring of land cover change using Landsat data
- (2012) Matthew C. Hansen et al. REMOTE SENSING OF ENVIRONMENT
- Landsat: Building a strong future
- (2012) Thomas R. Loveland et al. REMOTE SENSING OF ENVIRONMENT
- Near real-time disturbance detection using satellite image time series
- (2012) Jan Verbesselt et al. REMOTE SENSING OF ENVIRONMENT
- Object-based cloud and cloud shadow detection in Landsat imagery
- (2011) Zhe Zhu et al. REMOTE SENSING OF ENVIRONMENT
- Comment on "Drought-Induced Reduction in Global Terrestrial Net Primary Production from 2000 Through 2009"
- (2011) A. Samanta et al. SCIENCE
- Recent advances in SAR interferometry time series analysis for measuring crustal deformation
- (2011) Andrew Hooper et al. TECTONOPHYSICS
- Evaluation of Sub-Pixel Cloud Noises on MODIS Daily Spectral Indices Based on in situ Measurements
- (2011) Takeshi Motohka et al. Remote Sensing
- Phenological change detection while accounting for abrupt and gradual trends in satellite image time series
- (2010) Jan Verbesselt et al. REMOTE SENSING OF ENVIRONMENT
- Sensitivity of vegetation phenology detection to the temporal resolution of satellite data
- (2009) Xiaoyang Zhang et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Detecting trend and seasonal changes in satellite image time series
- (2009) Jan Verbesselt et al. REMOTE SENSING OF ENVIRONMENT
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started