Mapping 3 Decades of Global Surface Water Occurrence with Landsat

Recently, I posted an analysis of the Orbital Insight’s Global Water Reserves product, in which they use deep learning to automatically detect global surface water on a weekly to bi-weekly basis using Landsat images. In this post, I want to draw attention to work done by the European Commission’s Joint Research Centre (JRC) in which they used Google Earth Engine‘s extensive Landsat archive to derive global surface water occurrence map, along with probability and seasonality measures. They have used Landsat 5, 7, and 8 for this study.

This work by JRC is of a much more scientific nature than Orbital Insight’s global water mapping, giving the capability of study and analysis of river dynamics and morphology also. The study also reports some validation statistics.

See this amazing talk video on the study from the Google Earth Engine User Summit, Oct., 2015. The slide deck is available here.

Other research groups are also working on similar solutions; see, for example, this news report about Amy Hudson at the University of Maryland trying to use GEE in a similar manner to analyse global surface water dynamics using Landsat.

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About WQ

I received my PhD (2013) in Remote Sensing, Earth and Space Science at the Dept. of Aerospace Engineering Sciences, University of Colorado, Boulder, USA, under a Fulbright fellowship. Currently, I'm an Assistant Professor in the Dept. of Space Science at Institute of Space Technology (IST), Islamabad, Pakistan, where I have been a founding member of the Geospatial Research & Education Lab (GREL). My general expertise is in Remote Sensing where I have worked with various remote sensing datasets through my career, while for my PhD thesis I specifically worked on Remote Sensing using SAR (Synthetic Aperture Radar) and Oceanography, working extensively on development of techniques to measure ocean surface currents from space-borne SAR intensity images and interferometric data. My research interests are: Remote sensing, Synthetic Aperture Radar (SAR) imagery and interferometric data processing & analysis, Visible/Infrared/High-resolution satellite image processing & analysis, Oceanography, Earth system study and modelling, LIDAR data processing and analysis, Scientific programming. I am a reviewer for IEEE Transactions on Geoscience & Remote Sensing, Forest Ecosystems, GIScience & Remote Sensing, Journal of African Earth Sciences, and Italian Journal of Agronomy. I am an alumnus of Pakistan National Physics Talent Contest (NPTC), an alumnus of the Lindau Nobel Laureate Meetings, a Fulbright alumnus, and the Pakistan National Point of Contact for Space Generation Advisory Council (SGAC). I was an invited speaker at the TEDxIslamabad event held in Nov., 2014. I've served as mentor in the NASA International Space App Challenge Islamabad events in April 2015 and April 2016.

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