Brown, Jason
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Latest activity by Brown, Jason-
Brown, Jason created an article,
Mean Built-up Index for USA Cities Using RasterFrames
Geospatial analysts often have a set of vector data (points, lines, and polygons) that label areas where they want to look at satellite imagery. The code below works through some common steps ...
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Brown, Jason created an article,
How to Query the EarthAI Catalog with OpenStreetMap Data
You can use a large variety of spatial data to query Earth OnDemand. This page shows you how to use the crowdsourced OpenStreetMap (OSM) to query Earth OnDemand for related imagery. To access O...
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Brown, Jason created an article,
How to Create Interactive Maps from a RasterFrame
In this tutorial, we demonstrate how to create interactive map layers from a RasterFrame of Landsat 8 imagery covering Orlando, Florida, USA. We show the three different methods available, whic...
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Brown, Jason created an article,
Spatial Join in PySpark
A spatial join operation is analogous to a database table join or DataFrame merge operation, but considers the geographic relationships between records. In the context of EarthAI Notebooks, a sp...
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Brown, Jason created an article,
Calculating NDVI near Palmas, Brazil
This example continues from Part 1, but provides a simple way to expand the time horizon considered in the analysis. Import Libraries and Create a SparkSession The imports are the same as Pa...
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Brown, Jason created an article,
Writing a RasterFrame to a Parquet File
As discussed in the RasterFrames documentation, you can write a Spark DataFrame to the Apache Parquet format. There is support for writing and reading tiles. This may be useful to checkpoint y...
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Brown, Jason created an article,
Spatial Join in GeoPandas
A spatial join operation is analogous to a database table join or DataFrame merge operation, but considers the geographic relationships between records. In the context of EarthAI Notebooks, a ...
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Brown, Jason created an article,
Read a Shapefile into Spark DataFrame
In this example, we will read a shapefile as a Spark DataFrame. For this example we'll use The Nature Conservancy's Terrestrial Ecoregions spatial data layer. In [1]: from earthai.init i...