https://ntrs.nasa.gov/api/citations/20190028663/downloads/20190028663.pdf

The Harmonized Landsat and Sentinel-2 surface reflectance data set

Increasing human populations around the global coastline have caused extensive loss, degradation and fragmentation of coastal ecosystems, threatening the delivery of important ecosystem services1. As a result, alarming losses of mangrove, coral reef, seagrass, kelp forest and coastal marsh ecosystems have occurred1–6. However, owing to the difficulty of mapping intertidal areas globally, the distribution and status of tidal flats—one of the most extensive coastal ecosystems—remain unknown7. Here we present an analysis of over 700,000 satellite images that maps the global extent of and change in tidal flats over the course of 33 years (1984–2016). We find that tidal flats, defined as sand, rock or mud flats that undergo regular tidal inundation7, occupy at least 127,921 km2 (124,286–131,821 km2, 95% confidence interval). About 70% of the global extent of tidal flats is found in three continents (Asia (44% of total), North America (15.5% of total) and South America (11% of total)), with 49.2% being concentrated in just eight countries (Indonesia, China, Australia, the United States, Canada, India, Brazil and Myanmar). For regions with sufficient data to develop a consistent multi-decadal time series—which included East Asia, the Middle East and North America—we estimate that 16.02% (15.62–16.47%, 95% confidence interval) of tidal flats were lost between 1984 and 2016. Extensive degradation from coastal development1, reduced sediment delivery from major rivers8,9, sinking of riverine deltas8,10, increased coastal erosion and sea-level rise11 signal a continuing negative trajectory for tidal flat ecosystems around the world. Our high-spatial-resolution dataset delivers global maps of tidal flats, which substantially advances our understanding of the distribution, trajectory and status of these poorly known coastal ecosystems. Analyses of over 700,000 satellite images to map the global extent of tidal flats over the past thirty years, and enable assessments of the status and likely future trajectories of these coastal ecosystems.

The global distribution and trajectory of tidal flats

Fmask 4.0: Improved cloud and cloud shadow detection in Landsats 4–8 and Sentinel-2 imagery

Interest in knowing more about the Earth’s land cover and how it has changed over time motivated the mission and sensor design of early terrestrial remote sensing systems. Rapid developments in com...

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1452075

Land cover 2.0

Characterization of Sentinel-2A and Landsat-8 top of atmosphere, surface, and nadir BRDF adjusted reflectance and NDVI differences

Cloud detection algorithm comparison and validation for operational Landsat data products

3 Introduction 4 Background 4 Applications 5 Systems-Level Investigations 13 Selected References and Important Web Sites 27

/pdf/processing-large-remote-sensing-image-data-sets-on-beowulf-1lxan29w8h.pdf

Processing Large Remote Sensing Image Data Sets on Beowulf Clusters

3 Introduction 4 MOSIX Research 4 Condor Research 9 Internet Supercomputing Research 11 References 18 Important Web Sites 18

/pdf/extending-beowulf-clusters-4uiqvw7qwm.pdf

Tim Beckmann

Papers

Cloud detection algorithm comparison and validation for operational Landsat data products

Processing Large Remote Sensing Image Data Sets on Beowulf Clusters

Extending Beowulf Clusters

Informal and formal lesson planning in school internships: Practices among pre-service teachers