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Gap Filling for Historical Landsat Ndvi Time Series by Integrating Climate Data

Wentao Yu, Jing Li, Qinhuo Liu, Jing Zhao, Yadong Dong, Xinran Zhu, Shangrong Lin, Hu Zhang, Zhaoxing Zhang
2021 Remote Sensing  
In this paper, a climate incorporated gap-filling (CGF) method is proposed for the reconstruction of Landsat historical NDVI time series data.  ...  Gap filling is the most important issue in reconstructing NDVI time series from satellites with high spatial resolution, e.g., the Landsat series and Chinese GaoFen-1/6 series.  ...  In this paper, a climate-integrated gap-filling (CGF) method was proposed for the reconstruction of the historical Landsat NDVI time series.  ... 
doi:10.3390/rs13030484 fatcat:5g77p2knpngitjrf6igiqae5de

A Dynamic Landsat Derived Normalized Difference Vegetation Index (NDVI) Product for the Conterminous United States

Nathaniel Robinson, Brady Allred, Matthew Jones, Alvaro Moreno, John Kimball, David Naugle, Tyler Erickson, Andrew Richardson
2017 Remote Sensing  
We address this deficiency by producing a Landsat derived, high resolution (30 m), long-term (30+ years) NDVI dataset for the conterminous United States.  ...  We use Google Earth Engine, a planetary-scale cloud-based geospatial analysis platform, for processing the Landsat data and distributing the final dataset.  ...  We thank Koen Hufkens and Tom Milliman for their contributions to producing the PhenoCam data.  ... 
doi:10.3390/rs9080863 fatcat:sj2xox64obhcxozrsyhqgojh34

Climate and Socioeconomic Factors Drive Irrigated Agriculture Dynamics in the Lower Colorado River Basin

Cynthia L. Norton, Matthew P. Dannenberg, Dong Yan, Cynthia S. A. Wallace, Jesus R. Rodriguez, Seth M. Munson, Willem J. D. van Leeuwen, William K. Smith
2021 Remote Sensing  
We then quantified how factors such as climate, district water rights, and market value influenced: (1) annual fallow and active cropland extent and (2) annual cropland productivity, approximated by integrated  ...  growing season NDVI (iNDVI).  ...  Acknowledgments: We thank Nathaniel Robinson and Brady Allred for producing and providing key data used in this analysis.  ... 
doi:10.3390/rs13091659 doaj:4109149e7b76435f800c9f6ab188de2a fatcat:hevzwwxdqbhclfzyfwr7gomm4e

To Blend or Not to Blend? A Framework for Nationwide Landsat–MODIS Data Selection for Crop Yield Prediction

Yang Chen, Tim R. McVicar, Randall J. Donohue, Nikhil Garg, François Waldner, Noboru Ota, Lingtao Li, Roger Lawes
2020 Remote Sensing  
Historically, the requirements for satellites to successfully monitor crop growth and yield differed depending on the extent of the area being monitored.  ...  By identifying when and where blending outperforms predictions from either Landsat or MODIS, the proposed framework enables more accurate monitoring of biophysical processes and yields, while keeping computational  ...  McVicar acknowledge the support of the ARC Center of Excellence for Climate Extremes (Australian Research Council grant CE170100023).  ... 
doi:10.3390/rs12101653 fatcat:77ohth25afdnrn4f7cm4wweaxy

Status of Phenological Research Using Sentinel-2 Data: A Review

Gourav Misra, Fiona Cawkwell, Astrid Wingler
2020 Remote Sensing  
Remote sensing of plant phenology as an indicator of climate change and for mapping land cover has received significant scientific interest in the past two decades.  ...  with those from other sensors, e.g., Sentinel-1, Landsat and MODIS.  ...  The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.  ... 
doi:10.3390/rs12172760 fatcat:c26aoq2gerbyvdsdritson54m4

Landsat Time-Series for Estimating Forest Aboveground Biomass and Its Dynamics across Space and Time: A Review

Trung H. Nguyen, Simon Jones, Mariela Soto-Berelov, Andrew Haywood, Samuel Hislop
2019 Remote Sensing  
First, using LTS allows for the filling of spatial and temporal data gaps in AGB predictions, improving the quality of AGB products and enabling the estimation of AGB across large areas and long time-periods  ...  This paper provides a comprehensive review of recent approaches utilising Landsat time-series (LTS) for estimating AGB and its dynamics across space and time.  ...  Pixel-based temporal fitting can be used for filling not only spatial gaps but also temporal gaps resulting from the unavailability of Landsat data at some points in time.  ... 
doi:10.3390/rs12010098 fatcat:23fjemrmtva2xp2bo5fznkwmaa

Modelling Crop Biomass from Synthetic Remote Sensing Time Series: Example for the DEMMIN Test Site, Germany

Maninder Singh Dhillon, Thorsten Dahms, Carina Kuebert-Flock, Erik Borg, Christopher Conrad, Tobias Ullmann
2020 Remote Sensing  
The modelled crop biomass using synthetic RS data is compared to the model outputs using the original MODIS time series as well.  ...  On comparison with the MODIS product, the study finds the performance of CGMs more reliable, precise, and significant with synthetic time series.  ...  The cloud gaps in the MODIS data are filled using the linear interpolation.  ... 
doi:10.3390/rs12111819 fatcat:66ttktpqi5d6nanejda2bq5fly

Landsat Analysis Ready Data for Global Land Cover and Land Cover Change Mapping

Potapov, Hansen, Kommareddy, Kommareddy, Turubanova, Pickens, Adusei, Tyukavina, Ying
2020 Remote Sensing  
The GLAD ARD represent a 16-day time-series of tiled Landsat normalized surface reflectance from 1997 to present, updated annually, and designed for land cover monitoring at global to local scales.  ...  The multi-decadal Landsat data record is a unique tool for global land cover and land use change analysis.  ...  To fill long gaps in observation time-series we use the data from the three previous years.  ... 
doi:10.3390/rs12030426 fatcat:3vvl2uurevbt3j56r6dpknzadi

Climate Variability May Delay Post-Fire Recovery of Boreal Forest in Southern Siberia, Russia

Qiaoqi Sun, Arden Burrell, Kirsten Barrett, Elena Kukavskaya, Ludmila Buryak, Jörg Kaduk, Robert Baxter
2021 Remote Sensing  
A Bayesian Additive Regression Trees (BART) approach was used to model the relationship between Landsat-derived Normalized Difference Vegetation Index (NDVI) time series, temperature and precipitation  ...  These sites were originally dominated by Scots pine, and by 2018, they were recruited by different successional species. Additionally, three mature Scots pine stands were included for comparison.  ...  We also thank the three anonymous reviewers for their role in improving the manuscript. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13122247 fatcat:rlfrz52y65gbjcxdwltv5vupju

Assessing the role of climate and resource management on groundwater dependent ecosystem changes in arid environments with the Landsat archive

Justin Huntington, Kenneth McGwire, Charles Morton, Keirith Snyder, Sarah Peterson, Tyler Erickson, Richard Niswonger, Rosemary Carroll, Guy Smith, Richard Allen
2016 Remote Sensing of Environment  
In this work, we compute time series of NDVI derived from sensors of the Landsat TM, ETM+, and OLI lineage for assessing GDEs in a variety of land and water management contexts.  ...  in arid and semiarid regions of the southwestern United States, and 2) demonstrate the value of 30-year historical vegetation index and climate datasets for assessing GDEs.  ...  Integration of newly available Sentinel 2 imagery with Landsat processing workflow will increase the probability of cloud free images available for seasonal and interannual time series analysis.  ... 
doi:10.1016/j.rse.2016.07.004 fatcat:ruhos3fagbbxzocihjl7gad244

Landsat TM/ETM+ and tree-ring based assessment of spatiotemporal patterns of the autumnal moth (Epirrita autumnata) in northernmost Fennoscandia

Flurin Babst, Jan Esper, Eberhard Parlow
2010 Remote Sensing of Environment  
An image segmentation gap-fill procedure was developed in order to compensate missing scan lines in Landsat ETM+ "SLC-off" images.  ...  The resulting damage distribution map allowed for the assessment of outbreak intensity and distribution at the stand level and was combined with tree-ring data and historical documents to produce a multi-evidence  ...  This work was also supported by the Swiss National Science Foundation through the National Centre for Competence in Climate Research (NCCR-Climate).  ... 
doi:10.1016/j.rse.2009.11.005 fatcat:rreuisvxmrgmlnie53ttyyyroa

Spatiotemporal Fusion Modelling Using STARFM: Examples of Landsat 8 and Sentinel-2 NDVI in Bavaria

Maninder Singh Dhillon, Thorsten Dahms, Carina Kübert-Flock, Ingolf Steffan-Dewenter, Jie Zhang, Tobias Ullmann
2022 Remote Sensing  
To investigate the importance of RS data for these LC classes, the present study fuses NDVIs of two high spatial resolution data (high pair) (Landsat (30 m, 16 days; L) and Sentinel-2 (10 m, 5–6 days;  ...  reflectance fusion model (STARFM), which fills regions' cloud or shadow gaps without losing spatial information.  ...  The NDVI of the raw satellite data is calculated, and then the gaps by cloud and shadow removal were filled by linear interpolation in the following steps.  ... 
doi:10.3390/rs14030677 fatcat:gwlyhyqqpvcxdkbfgavbkemc6e

ANALYSIS OF THE PHENOLOGY DYNAMICS OF BRAZILIAN CAATINGA SPECIES WITH NDVI TIME SERIES

Claudionor Ribeiro da Silva, Sérgio Luís Dias Machado, Aracy Alves de Araújo, Carlos Alberto Matias de Abreu Junior
2018 Cerne  
HIGHLIGHTS The generation of time series of NDVI and Surface temperature generated from digital images (Landsat) that are available for free; To present a detailed study about the Caatinga, which goes  ...  A time series analysis was carried out, describing the intrinsic parameters of the series (Seasonality and Trends), the forecast of NDVI values using SARIMA model and co-integration between NDVI and NINONINA  ...  We thank FAPEMIG for the financial support given to our scientific project.  ... 
doi:10.1590/01047760201824012487 fatcat:rs64afcrnbhmdnxe4eajufjuku

Using Landsat satellite data to support pesticide exposure assessment in California

Susan K Maxwell, Matthew Airola, John R Nuckols
2010 International Journal of Health Geographics  
The Landsat image time-series was useful for identifying idle, single-, and multi-cropped fields.  ...  Methods and Results: We collected a dense time series of 24 Landsat 5 and 7 images spanning the year 2000 for an agricultural region in Fresno County.  ...  A crop map for the entire state of California was recently produced by the USDA using a time series of 2007 Landsat data [31] .  ... 
doi:10.1186/1476-072x-9-46 pmid:20846438 pmcid:PMC2949750 fatcat:oudsaatr3zdrfeqlsbywp7u66q

Spatiotemporal remote sensing of ecosystem change and causation across Alaska

Neal J. Pastick, M. Torre Jorgenson, Scott J. Goetz, Benjamin M. Jones, Bruce K. Wylie, Burke J. Minsley, Hélène Genet, Joseph F. Knight, David K. Swanson, Janet C. Jorgenson
2018 Global Change Biology  
The time series of change metrics, together with climatic data and maps of landscape characteristics, were incorporated into a modeling framework for mapping and understanding of drivers of change throughout  ...  Our results fill a critical gap in the understanding of historical and potential future trajectories of change in northern high-latitude regions.  ...  The results from this study fill a critical gap in understanding the historical-and potential future-face of Alaska.  ... 
doi:10.1111/gcb.14279 pmid:29808518 fatcat:srrndcgwubbuzcxaa555qqgpmq
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