Posts

Contribution to CNTIG, Tandil

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    Argentina,  a key congress for geospatial development across Latin America. Virtual contribution promoting Earth-Observation techniques for reservoir monitoring with colleagues from UNS and Salto Grande, links in Spanish: Slides YouTube session   

La Palma volcano lava flow

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Officially published by ESA on October 1st, the raw image (2021-09-30) is already available at Google-Earth-Engine , where you can manipulate with a simple code  filters and thresholds for edge detection. In this demo we used a true color background shifted to reds, and a Normalized-Difference (B4 red, B11 SWIR 1) index for the lava flow. Check the code here .

Flood Mapping season brochure

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Either for E-Learning or project assessment, have a look to this attractive brochure and please contact.

And third summer view

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To finish this summer compilation, a few numbers to highlight how feasible is to track the evolution of a meander: for a pilot case 10 Hectares surface, 15 mins drone footage in manual mode can take 200 snapshots, and after 2 hours SfM crunching by a desktop, a 3D surface model with centimetrical pixel resolution (GSD < 5 cms) allows to track standard fluvial shapes: bars, channels and other deposits that identify meander migrations. More details discussed in the next season E-Learning module.  

Summer views II

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To start monitoring Algae Blooms for a few hectares you just need HQ drone imagery and simple free software, to be explained in forthcoming E-Learning module,  insights about limits and  comparison with open-access satellite bands are also discussed.

Summer views I

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A dry summer, semi-arid area, most of the river bed is free and mappable by a drone, but the bank vegetation is still very dense and a filtering algorithm is needed to estimate the bare ground. We pose the question when is most convenient to map the river bed and the banks ?  Seeds for E-Learning module.

Cost-effective remote sensing-EO data processing for floods

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  A first approach with local High Resolution UAV datasets, open-access Satellite Imagery and Free Software processing tools was made for UTN-Concordia, Argentina, last May and April, during six online sessions. Many comments and feedback have led to a redistribution of the modules, as explained in the new leaflet for future editions. The basic Educational Module covers the tools: Open-Drone-Map WebODM, RIVeR-LSPIV, HEC-RAS, Google-Earth-Engine and QGIS . Imagery data come from local drone surveys and Copernicus Sentinel -1, 2 satellite missions.