A Machine Learning Approach for Remote Sensing Data Gap-Filling with Open-Source Implementation: An Example Regarding Land Surface Temperature, Surface Albedo and NDVI

[1]  W. Verhoef,et al.  Reconstructing cloudfree NDVI composites using Fourier analysis of time series , 2000 .

[2]  K. Stamnes,et al.  High cloud coverage over melted areas dominates the impact of clouds on the albedo feedback in the Arctic , 2019, Scientific Reports.

[3]  J. Frerick,et al.  SLSTR: a high accuracy dual scan temperature radiometer for sea and land surface monitoring from space , 2010 .

[4]  Christian Bernhofer,et al.  Introducing Gradient Boosting as a universal gap filling tool for meteorological time series , 2018, Meteorologische Zeitschrift.

[5]  Marek Brabec,et al.  Statistical Gap-Filling of SEVIRI Land Surface Temperature , 2020, Remote. Sens..

[6]  D. Nychka,et al.  A Multiresolution Gaussian Process Model for the Analysis of Large Spatial Datasets , 2015 .

[7]  Chao Zeng,et al.  Missing Data Reconstruction in Remote Sensing Image With a Unified Spatial–Temporal–Spectral Deep Convolutional Neural Network , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[8]  S. Liang,et al.  Estimation of 1-km all-weather remotely sensed land surface temperature based on reconstructed spatial-seamless satellite passive microwave brightness temperature and thermal infrared data , 2020 .

[9]  S. Wolfram Statistical mechanics of cellular automata , 1983 .

[10]  Philippe Bolon,et al.  EM-EOF: Gap-Filling in Incomplete SAR Displacement Time Series , 2021, IEEE Transactions on Geoscience and Remote Sensing.

[11]  José A. Sobrino,et al.  Optimizing and comparing gap-filling techniques using simulated NDVI time series from remotely sensed global data , 2019, Int. J. Appl. Earth Obs. Geoinformation.

[12]  Alfred Stein,et al.  Spatiotemporal Image Fusion in Remote Sensing , 2019, Remote. Sens..

[13]  Iain Brown,et al.  Spatio-temporal MODIS EVI gap filling under cloud cover: An example in Scotland , 2012 .

[14]  Menghua Wang,et al.  Gap Filling of Missing Data for VIIRS Global Ocean Color Products Using the DINEOF Method , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[15]  S. Franklin,et al.  Comparison of data gap-filling methods for Landsat ETM+ SLC-off imagery for monitoring forest degradation in a semi-deciduous tropical forest in Mexico , 2015 .

[16]  Jin Chen,et al.  A new geostatistical approach for filling gaps in Landsat ETM+ SLC-off images , 2012 .

[17]  H. Rue,et al.  An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach , 2011 .

[18]  Feng Gao,et al.  A simple and effective method for filling gaps in Landsat ETM+ SLC-off images , 2011 .

[19]  Zhiwei Li,et al.  A Spatiotemporal Fusion Based Cloud Removal Method for Remote Sensing Images With Land Cover Changes , 2019, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[20]  Michela Taufer,et al.  Spatial Gap-Filling of ESA CCI Satellite-Derived Soil Moisture Based on Geostatistical Techniques and Multiple Regression , 2020, Remote. Sens..

[21]  Matthias Katzfuss,et al.  A Multi-Resolution Approximation for Massive Spatial Datasets , 2015, 1507.04789.

[22]  K. Ichii,et al.  New Gap-Filling Strategies for Long-Period Flux Data Gaps Using a Data-Driven Approach , 2019, Atmosphere.

[23]  V. Salomonson,et al.  MODIS: advanced facility instrument for studies of the Earth as a system , 1989 .

[24]  G. L. Schmidt,et al.  A multi‐scale segmentation approach to filling gaps in Landsat ETM+ SLC‐off images , 2007 .

[25]  Juan Carlos Duque,et al.  A review of regional science applications of satellite remote sensing in urban settings , 2013, Comput. Environ. Urban Syst..

[26]  Emma Izquierdo-Verdiguier,et al.  Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud , 2020, Remote sensing of environment.

[27]  T. Schmugge,et al.  Remote sensing in hydrology , 2002 .

[28]  Bo Hu,et al.  Reconstructing daily clear-sky land surface temperature for cloudy regions from MODIS data , 2017, Comput. Geosci..

[29]  S. H. Sanaeinejad,et al.  Comprehensive evaluation of a spatio-temporal gap filling algorithm: Using remotely sensed precipitation, LST and ET data. , 2020, Journal of environmental management.

[30]  Michael E. Schaepman,et al.  Predicting Missing Values in Spatio-Temporal Remote Sensing Data , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[31]  Yaokui Cui,et al.  Developing a Gap-Filling Algorithm Using DNN for the Ts-VI Triangle Model to Obtain Temporally Continuous Daily Actual Evapotranspiration in an Arid Area of China , 2020, Remote. Sens..

[32]  Chunlin Huang,et al.  Gap-Filling of MODIS Fractional Snow Cover Products via Non-Local Spatio-Temporal Filtering Based on Machine Learning Techniques , 2019, Remote. Sens..

[33]  Lee Chapman,et al.  Remote sensing land surface temperature for meteorology and climatology: a review , 2011 .

[34]  Xiaoyan Wang,et al.  Spatial and Temporal Adaptive Gap-Filling Method Producing Daily Cloud-Free NDSI Time Series , 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[35]  David P. Roy,et al.  MODIS land data storage, gridding, and compositing methodology: Level 2 grid , 1998, IEEE Trans. Geosci. Remote. Sens..

[36]  Peter M. Atkinson,et al.  An effective approach for gap-filling continental scale remotely sensed time-series , 2014, ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing.

[37]  S. Liang Narrowband to broadband conversions of land surface albedo I Algorithms , 2001 .

[38]  Per Jönsson,et al.  TIMESAT - a program for analyzing time-series of satellite sensor data , 2004, Comput. Geosci..

[39]  J. S. Kimball,et al.  Improving continuity of MODIS terrestrial photosynthesis products using an interpolation scheme for cloudy pixels , 2005 .

[40]  R. Dickinson Land Surface Processes and Climate—Surface Albedos and Energy Balance , 1983 .

[41]  J. Sheffield,et al.  Spatial validation of large‐scale land surface models against monthly land surface temperature patterns using innovative performance metrics , 2016 .

[42]  Kai Wang,et al.  Remote Sensing of Ecology, Biodiversity and Conservation: A Review from the Perspective of Remote Sensing Specialists , 2010, Sensors.

[43]  A. Huete,et al.  A review of vegetation indices , 1995 .

[44]  Jiancheng Luo,et al.  Weighted Double-Logistic Function Fitting Method for Reconstructing the High-Quality Sentinel-2 NDVI Time Series Data Set , 2019, Remote. Sens..

[45]  D. Civco,et al.  Application of geographically weighted regression to fill gaps in SLC-off Landsat ETM+ satellite imagery , 2014 .

[46]  Raghvendra Singh,et al.  Interpolation Of Data Gaps Of SLC-Off Landsat ETM+ Images Using Algorithm Based On The Differential Operators , 2014 .

[47]  András Bárdossy,et al.  Cloud removal methodology from MODIS snow cover product , 2009 .