Getting PlanetScope median NDVI image for an AOI

Question

Hi all,
First, I am super new to API and Python. Although I have gone through the documentations a bit, but my brain is more wired towards R programming and Google Earth Engine and can’t grasp the Planet way of data manipulation and access fast enough.

I had education and research account, but now I have the 30-day trial version of Insight plantform.
I have 400 circular polygons each with radius of 500m, in geojson format.
For each, I want PlanetScope (~3m) median NDVI .tif file for January 1st to March 31st of each year from 2016 to 2025.
I tried this in the Explorer awhile ago and ran out of my monthly quota before even finishing for one polygon for one season. It was downloading daily images instead of median for the season at say 30% cloud threshold, that would be super straight forward in Google Earth Engine.
There are a lot of secondary analses which I’ll have to do locally in R with all the images. So, I really need the images.

I am seeking for someone who can point me in the right direction so that I can handle the task.

Regards,

Wyclife

elyhienrich · Accepted Answer

Hello ​@WyclifeThe first step would be to purchasea data plan as the 30 day trial only comes with sandbox data.Then either use Data + Orders API (with the bandmath tool included) to obtain local download of NDVI files. Alternatively, you can send the orders to the cloud (or a Data Collection) for analysis on the insights platform.Second option would be to use the Subscriptions API to automate search and delivery to an Image Collection and then subsequently visualize NDVI using the default configuration created at time of creating the subscription within the insights platform. This way, as new images are automatically delivered by subscriptions API to your data collection, it can simply be viewed within the Analyze Browser of our Planet Insights Platform. The option to deliver to a cloud bucket of your choice also exists.Some advice regarding purchasing data:You have 400 circular geometries with a radius of 500m each.Area of each polygon (πr2) = 0.785 square kilometersQuota to be purchased for 400 polygons = 314 sqkm of AUM quotaThe documentation is linked below as a reference to help you build requests!API documentationData API OverviewOrders API OverviewSubscriptions API Overview& here are all the API courses we have listed on Planet University.

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