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-popgrid-sdg11.5-tutorial

Tutorial to use Popgrid estimates for Earthquake hazards and exposed population The Colab link has more details of the essential libraries for installation and Tutorial explination https://colab.research.google.com/drive/1GZ0dOCsn0jNkA96tDD9teOVyVemWQGfW?usp=sharing Cliping Step for Raster Based on Imported Country Shapefile Authored By Cascade Tuholske, Sep 2020 Updated By Hazem Mahmoud, Sep 2021 Notebook to clip rasters. NOTE Available to be run for all geographies: Egypt for EGY.shp, nepal.shp for Nepal, chile.shp for chile Download your target country shapefile from https://gadm.org/ Download your target shakemap from https://earthquake.usgs.gov/data/shakemap/ General Workflow import your country boundry in .shp file format import your shake map from USGS .shp file format locate your 2 files path and edit the path in the script follow the steps in ascending order a. clip population _match.tif from country .shp to _match_country.tif b. clip urban & rural from country .shp to _match_urban_country.tif & _match_rural_country.tif c. deffrentiate between the exposed population to urban and rural using the shakemap .shp from USGS

2020_icesat-2_hackweek_tutorials

Combined repository for the final tutorial material presented at the 2020 ICESat-2 Cryosphere-themed Hackweek presented virtually by the University of Washington.

above-airborne-avirisng-python

Python: Work with hyperspectral imagery from AVIRIS-NG collected during ABoVE airborne campaigns

accuracy_of_gridpops_in_slums

Code and datasets related to accuracy assessments of gridded population datasets in "slums" and other deprived urban areas

activate_dataworkshop

This repository is the direct hosts the Jupyter binder for the ACTIVATE Data Workshop.

aeronet

aeronet

agu-2020-mapping-example

PO.DAAC & NSIDC DAAC Github repository for AGU 2020 workshop.

air-quality-index

apm_exercises

Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)

appliedpredictivemodeling

Data and code from Applied Predictive Modeling (2013)

appliedpredictivemodeling-1

Exercises From Book "Applied Predictive Modeling" by "Kuhn and Johnson (2013)"

arset_ml_fundamentals

Repository for Jupyter Notebook examples associated with the NASA ARSET Training, "Fundamentals of Machine Learning for Earth Science"

asdc_data_and_user_services

calipso-ccbrowse

Web application for browsing data from the CloudSat and CALIPSO satellites.

calipso_ccplot

Command-line application for visualizing data from CloudSat and CALIPSO satellites

calopso_vocal

Visualization of CALIPSO (VOCAL). A CALIPSO Cross Cutting tool for visualizing data

common-metadata-repository

create_publication_quality_netcdf-from-tiff

Content from the NASA Earthdata webinar presented by ORNL DAAC in September 2019.

cumulus

Cumulus Framework + Cumulus API

data-subscriber

Subscribe and bulk download collections of data at PO.DAAC

datas

Handling of Atmoshperic data (remote sensing, in-situ, and useful functions)

daymet_netcdf_season-avg

Daymet netCDF file manipulation (read, write, plot, season analysis) in Python

dcotss

diwg-data-compliance-test

Data compliance test against the recommendations of ESDSWG DIWG

dmrpp-file-generator-docker

Docker image to generate dmrpp files from netCDF and HDF files

dscovr-epic

Tools for fetching, processing, and tweeting images from NASA's DSCOVR spacecraft

earthdata_hyraxopendap_access

Content shows access method in accessing data through earthdata hyrax opendap

earthdata_ipynb

Python client for NASA CMR

ecco

emit-data-resources