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Construction of smooth daily remote sensing time series data: a higher spatiotemporal resolution perspective
2017
Open Geospatial Data, Software and Standards
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In this paper, we proposed a method to construct complete spatial time series data, with Savitzky-Golay filter for smoothing and locally-adaptive linear interpolation for generating daily NDVI imagery. ...
The results demonstrated that: (1) This method can generate smooth continuous time series image data successfully based on irregularly short-revisit remote sensing data; (2) HJ-1 A/B NDVI time-series were ...
Availability of data and materials Readers who are interested in using the methods to process time series remote sensing data, the source code of this project can be viewed and checked out from a Github ...
doi:10.1186/s40965-017-0038-z
fatcat:hzkhqavpybflbpk5rrelypj5rq
Assessing the Effects of Time Interpolation of NDVI Composites on Phenology Trend Estimation
2021
Remote Sensing
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reflectance data was used to generate a daily normalized difference vegetation index (NDVI) dataset in addition to an 8-day and a 16-day NDVI composite datasets from 2001 to 2019. ...
We compared the trends estimated from daily NDVI data with those from NDVI composites among (1) different interpolation methods; (2) different vegetation types; and (3) different combinations of time interpolation ...
It was chosen to smooth the daily NDVI data in our study (equation and parameters are shown in Table 1 ). ...
doi:10.3390/rs13245018
fatcat:dylpc4hupvfl7aml2kwovif3c4
Mapping crop phenology using NDVI time-series derived from HJ-1 A/B data
2015
International Journal of Applied Earth Observation and Geoinformation
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The procedures of time-series data construction included image preprocessing, signal filtering for time-series data, and interpolation for daily NDVI images then the NDVI time-series could present a complete ...
and smooth phenological cycle. ...
Remote sensing data were provided by China Center for Resources Satellite Data and Application (http://www.cresda.com/n16/index.html). The authors would like to express much thanks to Prof. ...
doi:10.1016/j.jag.2014.08.011
fatcat:qcs3arh3arfxxexfnsvy633szu
Similarities in ground- and satellite-based NDVI time series and their relationship to physiological activity of a Scots pine forest in Finland
2004
Remote Sensing of Environment
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High correlations were also found between the seasonal courses for broadband NDVI and daily air temperature. ...
The composite satellite-derived NDVI time series were smoothed with a best index slope extraction method (BISE) and adjusted Fourier transform (AFT) in order to downscale from the compositing period to ...
Since for large-scale applications, satellite-derived NDVI time series data remain essential, understanding of smoothed and interpolated information from composited NDVI observations is critical for the ...
doi:10.1016/j.rse.2004.07.006
fatcat:5byywoxyybcdrnoyrbnd2xvmyu
A Novel Strategy to Reconstruct NDVI Time-Series with High Temporal Resolution from MODIS Multi-Temporal Composite Products
2021
Remote Sensing
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This study presents a novel strategy named DAVIR-MUTCOP (DAily Vegetation Index Reconstruction based on MUlti-Temporal COmposite Products) method for normalized difference vegetation index (NDVI) time-series ...
., cloud cover, atmospheric contamination) in daily VI data, temporal compositing methods are commonly used to produce composite data to minimize the negative influence of noise over a given compositing ...
We also acknowledge for the data support from Carbon Sequestration Program of University of Nebraska-Lincoln's (UNL) (CSP, http://csp.unl.edu/public/, accessed on 20 March 2021) and AmeriFlux (AF) sites ...
doi:10.3390/rs13071397
fatcat:6br7g5cjuncklh6w73qizry2cm
New Downscaling Approach Using ESA CCI SM Products for Obtaining High Resolution Surface Soil Moisture
2020
Remote Sensing
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The first step is used as a data engineering tool and its output is used as an input for the Random forest model in the second step. ...
The methodology was applied for obtaining SSM maps for the area of California, USA during 2016. ...
The smoothing methods provide relatively simple, yet effective way for reconstructing NDVI time-series [45] . No smoothing method can be recommended more than others. ...
doi:10.3390/rs12071119
fatcat:yyybs4j7cnevtg2wetyuqgw3kq
An Introduction to the Spatio-Temporal Analysis of Satellite Remote Sensing Data for Geostatisticians
[chapter]
2018
Handbook of Mathematical Geosciences
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Joining, combining or smoothing these images for a better quality of information is a challenge not always properly solved. ...
Here, we analyze the current use of some of the geostatistical tools in satellite image analysis, and provide an introduction to this subject for potential researchers. ...
This approach has been used by (Militino et al. 2015) for interpolating daily rainfall data, and for estimating spatio-temporal trend changes in NDVI with satellite images of Spain from 2011-2013 (Militino ...
doi:10.1007/978-3-319-78999-6_13
fatcat:e3xzehllirc4xj24n7htw4yclm
A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky?Golay filter
2004
Remote Sensing of Environment
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Our method was developed to make data approach the upper NDVI envelope and to reflect the changes in NDVI patterns via an iteration process. ...
the present study a simple but robust method based on the Savitzky -Golay filter to smooth out noise in NDVI time-series, specifically that caused primarily by cloud contamination and atmospheric variability ...
The authors would like to thank two anonymous reviewers for their insightful comments. ...
doi:10.1016/s0034-4257(04)00080-x
fatcat:dul7cekm2nbplmtf35da5jdr6y
Influence of Using Date-Specific Values when Extracting Phenological Metrics from 8-day Composite NDVI Data
2007
2007 International Workshop on the Analysis of Multi-temporal Remote Sensing Images
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Moreover, different methods for smoothing the NDVI curves also influence the accuracy of the vegetation parameters extracted from them. ...
A common approach involves using an n-day composite time-series of normalized difference vegetation index (NDVI) satellite data for estimating vegetation phenology. ...
Daily satellite data are routinely combined into n-daily maximum NDVI value composites (MVC) to reduce the effect of clouds and the atmosphere, which both typically reduce NDVI values. ...
doi:10.1109/multitemp.2007.4293044
fatcat:5fopxy4qmrepvjgjdcjktczp7u
Land Cover Information Extraction Based on Daily NDVI Time Series and Multiclassifier Combination
2017
Mathematical Problems in Engineering
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This study proposes a method of dimensionality reduction based on the statistical features of daily NDVI time series for classification. ...
To explore the application of a daily normalized difference vegetation index (NDVI) time series in land cover classification, the present study used HJ-1 data to derive a daily NDVI time series by pretreatment ...
Results
Daily NDVI Time Series of Sample Category. The daily NDVI time series curves of the sample categories showed a distinct difference after smoothing and spatial interpolation ( Figure 3 ). ...
doi:10.1155/2017/6824051
fatcat:5lmfky5pejc6tce3zxuomzfixu
Evaluation of MODIS NDVI based phenology indicators for the analysis of vegetation dynamics in the nature reserve Königsbrücker Heide
2018
Earth Resources and Environmental Remote Sensing/GIS Applications IX
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Detailed analyses of key metrics like SOS and EOS using different metric approaches and interpolation methods are applied and compared. ...
To show whether seasonal dynamics can be detected in vegetation time series, two requirements must be fulfilled. (1) High-temporal resolution vegetation information provided for example as MODIS-NDVI. ...
For the same time series, it can be seen that the differences between the NDVI values interpolated to a daily resolution can range from -4000 to +3000 depending on the methods uses for comparison. ...
doi:10.1117/12.2325549
fatcat:6gcozcotcbagfo5ndzn4g37xni
Modeling daily temperatures via a phenology-based annual temperature cycle model
2021
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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On the other hand, spatial interpolation techniques also limit in implementation when available data in one day or several days are not able to obtain enough spatiotemporal information for LST reconstruction ...
The objective of this study is to propose a phenology-based ATC model (termed PATC), which takes the phenology change and local weather change into account, to reconstruct daily unscanned LSTs at an annual ...
ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers for helping improve this manuscript. ...
doi:10.1109/jstars.2021.3085342
fatcat:jqqngaaesfe2pnbf3njlpqtjz4
An Extended Kriging Method to Interpolate Near-Surface Soil Moisture Data Measured by Wireless Sensor Networks
2017
Sensors
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This study developed an Extended Kriging method to interpolate with the aid of remote sensing images. ...
For comparison, three traditional Kriging methods are applied: Ordinary Kriging (OK), which used WSN data only, Co-kriging and KED, both of which integrated remote sensing data as covariate. ...
The interpolation results for OK and Co-kriging methods can only show smooth and continuously changing trend surfaces (Figure 8b,c) , while the interpolation results for Extended Kriging method (Figure ...
doi:10.3390/s17061390
pmid:28617351
pmcid:PMC5492867
fatcat:456r5ugwbvevvfxqfvfg5vlpwm
Optimising Phenological Metrics Extraction for Different Crop Types in Germany Using the Moderate Resolution Imaging Spectrometer (MODIS)
2017
Remote Sensing
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Nevertheless, to our knowledge, comprehensive comparisons of smoothing methods for crop phenology mapping over agricultural areas and multiple years, i.e., including crop rotations, have not been published ...
We used a six-year daily Moderate Resolution Imaging Spectrometer (MODIS) Normalized Difference Vegetation Index (NDVI) time series and 211 ground-observation records from four major crop species (winter ...
We would like to acknowledge those who contributed to collect field phenology data: Gundula Schulz, Steffen Lehmann, Gudrun Schuhmann and Steffi Erfurth. ...
doi:10.3390/rs9030254
fatcat:ihtff4mqbvdvvpce7ckh3e5ar4
Merging Microwave, Optical, and Reanalysis Data for 1 km Daily Soil Moisture by Triple Collocation
2022
Remote Sensing
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Current merging techniques based on the TC method often lack seamless daily optical data input. ...
To address these issues, this study proposed a framework for multi-source data merging based on the triple collocation (TC) method with an explicit physical mechanism, which was dedicated to generating ...
Acknowledgments: We would like to express our sincere gratitude to Yang Kun for providing the soil moisture measurement data, and to the MODIS, ESA CCI SM, and CLDAS team. ...
doi:10.3390/rs15010159
fatcat:lbclq53znvhfjewvlpbc6jrhx4
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