Global Revisit Interval Analysis of Landsat-8 -9 and Sentinel-2A -2B Data for Terrestrial Monitoring
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[1] Lin Yan,et al. Landsat 4, 5 and 7 (1982 to 2017) Analysis Ready Data (ARD) Observation Coverage over the Conterminous United States and Implications for Terrestrial Monitoring , 2019, Remote. Sens..
[2] Kenton Lee,et al. Landsat 8 Operational Land Imager On-Orbit Geometric Calibration and Performance , 2014, Remote. Sens..
[3] Jian Li,et al. Best practices for the reprojection and resampling of Sentinel-2 Multi Spectral Instrument Level 1C data , 2016 .
[4] S. Goward,et al. An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks , 2010 .
[5] Martha C. Anderson,et al. Landsat-8: Science and Product Vision for Terrestrial Global Change Research , 2014 .
[6] D. Roy,et al. Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States , 2010 .
[7] Joseph O'Rourke,et al. Computational Geometry in C. , 1995 .
[8] Gábor Bakó,et al. Spatiotemporal distribution of Landsat imagery of Europe using cloud cover-weighted metadata , 2016 .
[9] David P. Roy,et al. The Global Availability of Landsat 5 TM and Landsat 7 ETM+ Land Surface Observations and Implications for Global 30m Landsat Data Product Generation , 2013 .
[10] Hankui K. Zhang,et al. Landsat 5 Thematic Mapper reflectance and NDVI 27-year time series inconsistencies due to satellite orbit change , 2016 .
[11] G. Henebry,et al. Development and evaluation of a new algorithm for detecting 30 m land surface phenology from VIIRS and HLS time series , 2020 .
[12] Christopher E. Holden,et al. An analysis of Landsat 7 and Landsat 8 underflight data and the implications for time series investigations , 2016 .
[13] Martha C. Anderson,et al. Monitoring daily evapotranspiration over two California vineyards using Landsat 8 in a multi-sensor data fusion approach , 2016 .
[14] Thomas R. Loveland,et al. A review of large area monitoring of land cover change using Landsat data , 2012 .
[15] Matthew Montanaro,et al. Landsat 9: status and plans , 2016, Optical Engineering + Applications.
[16] J. Snyder. Flattening the Earth: Two Thousand Years of Map Projections , 1994 .
[17] M. Claverie,et al. Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product. , 2016, Remote sensing of environment.
[18] D. Roy,et al. MODIS–Landsat fusion for large area 30m burned area mapping , 2015 .
[19] Peter T. Fretwell,et al. An automated methodology for differentiating rock from snow, clouds and seain Antarctica from Landsat 8 imagery: a new rock outcrop map and areaestimation for the entire Antarctic continent , 2016 .
[20] Zhe Zhu,et al. Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications , 2017 .
[21] Ieda Del'Arco Sanches,et al. Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review , 2020, Remote. Sens..
[22] Matthias Drusch,et al. Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services , 2012 .
[23] T. Scambos,et al. Rapid large-area mapping of ice flow using Landsat 8 , 2016 .
[24] Zhe Zhu,et al. Cloud detection algorithm comparison and validation for operational Landsat data products , 2017 .
[25] Jérôme M. B. Louis,et al. Copernicus Sentinel-2A Calibration and Products Validation Status , 2017, Remote. Sens..
[26] P. Villa,et al. Assessing macrophyte seasonal dynamics using dense time series of medium resolution satellite data , 2018, bioRxiv.
[27] Joel McCorkel,et al. Landsat 9: Empowering open science and applications through continuity , 2020 .
[28] M. Bauer,et al. Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing , 2005 .
[29] David P. Roy,et al. Analysis Ready Data: Enabling Analysis of the Landsat Archive , 2018, Remote. Sens..
[30] Patrick Hostert,et al. A Pixel-Based Landsat Compositing Algorithm for Large Area Land Cover Mapping , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[31] David P. Roy,et al. A Global Analysis of Sentinel-2A, Sentinel-2B and Landsat-8 Data Revisit Intervals and Implications for Terrestrial Monitoring , 2017, Remote. Sens..
[32] Julia A. Barsi,et al. The next Landsat satellite: The Landsat Data Continuity Mission , 2012 .
[33] Zhe Zhu,et al. Current status of Landsat program, science, and applications , 2019, Remote Sensing of Environment.
[34] John R. Schott,et al. The impact of improved signal-to-noise ratios on algorithm performance: Case studies for Landsat class instruments , 2016 .
[35] J. Irons,et al. Landsat 8: The plans, the reality, and the legacy , 2016 .
[36] Valeriy Kovalskyy,et al. Optimal Solar Geometry Definition for Global Long-Term Landsat Time-Series Bidirectional Reflectance Normalization , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[37] Gyanesh Chander,et al. CEOS Visualization Environment (COVE) Tool for Intercalibration of Satellite Instruments , 2013, IEEE Transactions on Geoscience and Remote Sensing.
[38] Belinda A. Margono,et al. Humid tropical forest disturbance alerts using Landsat data , 2016 .
[39] G. Asner,et al. Spatial and temporal probabilities of obtaining cloud‐free Landsat images over the Brazilian tropical savanna , 2007 .
[40] David P. Roy,et al. The global Landsat archive: Status, consolidation, and direction , 2016 .