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Hi there, I'm Miguel [miˈɣɛɫ] 👋

I currently work at UP42 as a geospatial python engineer.

My job is to make remote sensing accessible to everyone. Interoperability and transparency with STAC, STAC API and cloud-native solutions.

In the past I worked on:

  • 📡 collecting and extracting weekly water extent for thousands of dams in drought prone northeast Brazil
  • ☔ a medium range drought forecasting tool and published its results on HESS

💬 Ask me about geospatial and python.

José Miguel Delgado's Projects

assimreservoirs icon assimreservoirs

Assimilate reservoir extents using precipitation data (rain gauges and TRMM).

buhayra icon buhayra

Real-time water body extent in drylands from Sentinel-1

echse-et-code icon echse-et-code

Evapotranspiration modeling in ECHSE -- R code, data, miscellanea. For the structure of the R code, see README.

exif-py icon exif-py

Easy to use Python module to extract Exif metadata from digital image files.

hdi icon hdi

Collection of implementations of Hydrological Drought Indexes

hydraulics icon hydraulics

equations of open channel flow, flow routing, IDFs etc

idf icon idf

Calcula a intensidade da chuvada de projeto em R

microhydro icon microhydro

an assessment for locating micro hydropower plants

micrometeo icon micrometeo

psychrometry and some micrometeorological expressions

myrpack icon myrpack

A collection of functions I use in my daily work

paper_drought_prediction_brazil icon paper_drought_prediction_brazil

Analysis scripts of the paper "Seasonal drought prediction for semiarid northeast Brazil: what is the added value of a process-based hydrological model?", published in HESS

pdm icon pdm

repositório de condicionantes à edificação em solos agrícolas e florestais em Portugal

pluviopt icon pluviopt

a rvest based package to harvest near real-time pluviometry data from SNIRH/Portugal

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