Elian Wira Sena

Jul 4

Extracting Wind Components from Reanalyse (Atmospheric reanalysis) data

Atmospheric Reanalysis Reanalysis data provide the most comprehensive depiction of weather and climate in the past [2]. They combine observations and reruns of historical short-range weather forecasts using contemporary weather forecasting models. Globally complete and temporally consistent, they are sometimes called “maps without gaps” [2].

Remote Sensing

4 min read

Extracting Wind Components from Reanalyse (Atmospheric reanalysis) data

Remote Sensing

4 min read

Jun 28

How to load Landsat Imaginary Data with EE

Working with Remote Sensing Satelite Tools will be used in this story Google Earth Engine Google Colab/ Jupyter notebook Python Pandas Regional of Interest : Hamburg 1. Authenticate and Initialize Earth Engine Earth Engine API is already installed in Google Colab, so we must import and authenticate to access it. import ee # Trigger the authentication flow. ee.Authenticate() #…

Remote Sensing

2 min read

How to load Landsat Imaginary Data with EE

Remote Sensing

2 min read

Jun 19

Land Surface Temperature (LST) Data Extraction

How to extract Land Surface Temperature ( LST ) data from Google Earth Engine using Google Colab This notebook will guide you to extracting land surface temperature data from the Google Earth Engine. Google Colab is used to deal with this process. The goal is to be able to provide…

GIS

5 min read

Land Surface Temperature (LST) Data Extraction

GIS

5 min read