Studying spatio-temporal changes in phytoplankton by means of remote sensing

The ocean is teeming with microscopic organisms called phytoplankton. Phytoplankton comprises two main groups: photosynthetic cyanobacteria and the single-celled algae that drift in the sunlit top layers of oceans. They provide food, directly or indirectly for virtually every other marine creature. They emit much of the oxygen that permeates our atmosphere and their fossilized remains, buried and compressed by geological forces, are transformed into oil. In addition, they play a huge role in the cycling of carbon dioxide from the atmosphere to the biosphere and back, cycling that helps to control Earth’s climate [1].air jordan 1

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Processing ERA-Interim dataset in ncdf using GDAL and GRASS GIS

Processing big data efficiently has become a necessity of the hour in ecological and climate change research. Now there are enormous number of public data available online, which demands high level of processing capabilities too.  In this post I will show you how we can process ESA-Interim data which is global atmospheric reanalysis from 1979 to present developed by ECMWF.

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