The Water Observatory is an Earth-observation-based solution that provides reliable and timely information about surface water levels of waterbodies across the globe. All observations are provided and can be explored interactively via the Water Observatory Dashboard or via RESTful API. The Water Observatory provides a valuable service to local authorities, governmental agencies, natural parks and reserves, agricultural ministries and agencies, stakeholders in food and energy production, and citizens alike.
Let me please introduce you this “new” LULC source I have come across with recently. The potential of this 10m “clutter” source is being able to acquire data from a few days ago instead of using outdated “very old” 2020 vintage datasets. I know if these days something 2020 is very old then myself, born in 1972 then i’m older than the riverside, older than peeing in a wall, even older than Methuselah. Yes, that’s the way it is nowadays.
Google Earth Engine is a geospatial processing service where you can perform geospatial processing at scale, powered by Google Cloud Platform. The purpose of Earth Engine is to:
Provide an interactive platform for geospatial algorithm development at scale
Enable high-impact, data-driven science
Make substantive progress on global challenges that involve large geospatial datasets
We can track this up as we speak. We can measure burn areas on a regular basis, creating videos, capture images, creating indexes, histograms, etc. Everything for better understanding what is going on and maybe, why not, avoiding it in te future. If you would like more information, dont hesitate to contact us.
I am here in front of my desktop and I wonder how to take advantage of Sentinel Hub for tracking up moisture in a random plot anywhere in the world. Has it been irrigated at the right time for the type of crop? How has rainfall been affected over the analysis time? How has the use of certain fertilisers affected it? Has it positively affected production?. Let’s take a closer look.
Below you can see the example timelapse of Suez Canal ship traffic, made with a Sentinel-1 custom composite visualization. You can observe the moving ships as time passes.
Sentinel-1 is a pair of European radar imaging (SAR) satellites launched in 2014 and 2016. Its 6 days revisit cycle and ability to observe through clouds makes it perfect for sea and land monitoring, emergency response due to environmental disasters, and economic applications. This dataset represents the global Sentinel-1 GRD archive, from beginning to the present, converted to cloud-optimized GeoTIFF format.