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Programmatically search, download, and transform data with Planet’s APIs, built on REST, JSON, and HTTP standards.

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sbaglapl‎‎ 🌱

API Search only returns 250 ids

Hi, I am following the tutorial here to search for images lying within a bounding box. I only get 250 returns back for my aoi. Am I missing something? Please advise :) Cheers,Shashank

Nick Simonian‎‎ 🌱

Question with planet image processing for NDVI

I have a question about how planet is processing NDVIs I can download a 4 or 8 band image from planet and then process it in Qgis using the NDVI formula (NIR-Red) / (NIR+Red) and get a nice looking NDVI.When I get the same image from the API and drag it into Qgis the image has much lower total reflectance its about 70% darker. For example in the hand processed image Low value Vs high value is .219 and .585 in the same image that is pulled from the API the value is -.04 and .268 In the subscription there is a line called bandmath. "type": "bandmath","parameters"": {"b1": "(b4-b3)/(b4+b3)"," "pixel_type": "32R"}} it looks like bandmath is running the same NDVI formula I am B4 is Nir and B3 is Red how am I getting such different values between the two processes and why is there negative values in every image I get? I have maybe once hand processed a good image that had a low of less than .12 ( a -.04 maybe) and never high much above .90 Any ideas what processing is going on with the plane

Dan Cogswell‎‎ 🌱

How to check if tile is available for zoom, x, y before making API call to get tile

We are loading PlanetScope and SkySat tiles into an application using Google Maps API V3. It automatically requests tiles via the Planet API based on zoom level and x and y values.Since Planet scenes may not take up the entire bounding box of the map, we are sometimes calling the API for x and y values that may not produce a tile.Is there a way of checking ahead of time whether a tile is available at the x and y location so as to reduce the calls to the Planet API if there is no tile there? We call the API on the server so as to hide the API key, then return the resulting PNG file to the browser.Many thanks for your help,Dan

it0to‎‎ 🌱

Best way to go about getting Satellite Imagery on more zoomed in areas of interest?

I am working on a project where I am using satellite imagery to get updates on a basin in Texas. What is the best satellite/service to use in order to get the most clear images returned? I have an Enterprise L Account with Planet. What API should I be using to get the images? What is the best way to make sure I get the most clear images. Anytime it is a bit too zoomed in the images are basically pixels.

galoalvarez‎‎ 🌱

Hi allmy users wants to start and make a imagery task by API.in task request API body they have to enter their PL_numberI am the admin. i want the users to find their PL_number by API. I only want to give them API and not users username and password and then they find PL_number by their API

Janne Jääskeläinen

Orderding multiple scenes clipped with multiple AOIs

Hi all,I'm building a dataset for training a CNN. For this I need to acquire about 1000 PS scenes clipped to a rather small area of interest (around 600x600m). I've got the item id's and corresponding AOIs as polygons for all the images I need. Since the AOI for each PS scene is so small I want to use the clipping tool from orders API to spare our quota.My question is this: What is the best way to order multiple scenes clipped by multiple areas of interest?I've already written code (in Python) to acquire the images by sending an order for each image separately, but this solution seems a bit "brute-forcy" to me. Is there some more elegant solution to this? I know it is possible to order multiple scenes clipped by a single AOI in a single order but is it possible to order multiple scenes clipped by multiple AOIs? Thanks for your help!

AlidadA‎‎ 🌱

Configs definition of keys (gte, gt, lt, lte, gsd ...)

Hi folks,I am working with the Data API and I have a question that is really not covered by documentation (https://developers.planet.com/docs/apis/data/searches-filtering/).What do these configs really mean (gte, gt, lt, lte, gsd...) ? Because some of them store not only one data type, for example lte:In the DateRangeFilter "lte":"2020-01-31T00:00:00Z", but in the RangeFilter it is a float - "lte":0.1, or even an integer (https://developers.planet.com/docs/apis/data/quick-saved-search/ or here https://developers.planet.com/docs/subscriptions/tools/). Thanks!

AndreaMelchiorre‎‎ 🌱

how to see all orders?

I created >100 orders using automatic scripts, but I can only retrieve 20 of them, the last 20. How can I see the rest of them? I get 20 orders both via the python Order API and the web browser….

AndreaMelchiorre‎‎ 🌱

What is the maximum number of concurrent Orders I can create?

I need to download a large number of products, I created a script using python API to launch many orders, but after a few orders it stopped with 400 error…. I was wondering what is the maximum number of orders I can queue?

belenfh‎‎ 🌱

Trying to access imagery outside of my Tier using the Subscription API

Hello Everyone! I am writing this post to ask if anyone knows what happens when you try to download imagery from outside of your signed Tier using the Subscription API. E.g. in my case, I have a contract that lets me download imagery for a given polygon from Japan (Tier 1), so if an user mistakenly tries to download data from, let’s say, the US, my subscription creation will fail and throw an error or will I be charged for this?I already read this documentation, however I could not find an explicit reference to this problem. Although, I am guessing I would get a 403 error (Unauthorized). I would appreciate it if someone could answer my question. Thanks in advance!

ZacharyBowyer‎‎ 🌱

How to request 4-band basemaps?

Hello, I am trying to figure out how to use either the basemaps api or the orders api to download polygon selections of basemaps. So far, I have this code: # Order api stuff for basemaps def download_basemap(self, session, request, download_location, file_prefix): #POST request to get data headers = {'content-type': 'application/json'} response = session.post(self.ORDERS_API_URL, data=json.dumps(request), headers=headers) print(response.json()) #Construct url for getting request status order_id = response.json()['id'] order_url = self.ORDERS_API_URL + '/' + order_id #Check request status, once it's done download data while(True): r = session.get(order_url) response = r.json() state = response['state'] print(state) end_states = ['success', 'failed', 'partial'] if state in end_states: break time.sleep(10) #Download data

belenfh‎‎ 🌱

Checking the quota my subscription will consume before creating it

I am writing this post because I want to know if there is any response parameter, API call or tool that you can use to know exactly how much quota will be consumed by my subscription.Of course, I could calculate the area in sq kms using python or any other programming language but I am concerned about the rounding up errors, so I would like to get the exact value from Planet’s side before actually creating the subscription. I have noticed that in planet explorer there are tools that measure the area of your AOI but I will use the Subscription API to get data of my AOI for over long periods of time programmatically, so I will not use planet explorer.Also, I have read that there is an API for generating reports, called the reports API, but the documentation about it was rather scarce (I do not know whether in the report the quota usage per subscription will be included as I cannot use it) and also these reports are generated after creating the subscriptions, so this does not answer my qu

lc94‎‎ 🌱

Optimizing CLI Workflow: how to ensure Full AOI Coverage for Downloaded Planet Images

Hello there!I'm currently in the process of learning how to utilize the Command Line Interface (CLI) for downloading Planet products.I've successfully managed to download images that pique my interest. However, I've encountered an issue where none of these images fully cover the area of interest (AOI) that I'm working with. Below are the commands I've been using:planet data filter --geom "map (1).geojson" --permission --std-quality | planet data search-create PSScene --name "my_search" --filter -planet data search-run 74abd968151f440b9541e077e1178e00 --limit 2planet data asset-activate PSScene 20230803_094757_15_248f ortho_analytic_8b_srplanet data asset-wait PSScene 20230803_094757_15_248f ortho_analytic_8b_sr && planet data asset-download PSScene 20230803_094757_15_248f ortho_analytic_8b_sr Do you know how can I ensure that my images are completely within my AOI?

jonjab‎‎ 🌱

sample R scripts?

I just started poking around looking for an R script to interact with the API.At a glance I found this: https://github.com/bevingtona/planetR Anyone else have something they’d care to share before I start hacking away at this?

Dante Abate‎‎ 🌱

Download and crop an image using the API and gdalwrap in python

Apologize for the question but i am a beginner in programming.I am trying to write a script in Python and automatically download and crop a specific area using gdalwarp (I tried with the clip tool without success: https://developers.planet.com/apis/orders/tools/#using-tools).Although being able to get a clipped image, this is simply a black thumbnail (840KB).The final goal would be just to download the cropped part.At the moment I am downloading the full image and it creates the thumbnail mentioned above.The coordinates were extracted with the geojson.io toolCould be the problem related with the coordinate system (although the clipped image is quite small and let me think the issue is something else). Could you please advice what am I doing wrong? Below the code section:# Clip the image using gldalwarpclip_output_image = os.path.join(save_folder, "clipped_" + filename)input_coordinates = "33.282952632083095, 34.94060635659089, 33.282952632083095, 34.94060635659089"# Define the target c

quanta‎‎ 🌱

Clip tool implementation to download from Subscription API

Regarding the issue with our trial access, I have a question. While testing the capabilities of the Data API, it seems that there was some confusion between the 'GeometryFilter' and the 'Clip' tool in the Subscription API. We mistakenly believed that the 'GeometryFilter' would act as a clip and only provide us with the area of interest within the filter coordinates. However, it appears that it directed us to download an entire Planet Scope scene instead.Could anyone please provide clarification or guidance on how we can address this issue?"

cmolitor‎‎ 🌱

SR Quarterly Basemaps with NIR

Hello, I would like to download the quarterly SR base maps, ideally the normalized images with NIR. I am using the mosaics API to search for available imagery with:basemap_url = ( "https://api.planet.com/basemaps/v1/mosaics/?_page_size=2000&name__contains=SR" )basemapServiceResponse = requests.get(url=basemap_url, auth=auth)basemaps = basemapServiceResponse.raise_for_status()if basemapServiceResponse.status_code != 204: basemaps = json.loads(basemapServiceResponse.text)basemaps.get("mosaics")In the results I only see monthly products with names matching the pattern:ps_monthly_analytic_sr_subscription_2016_09_mosaicEven then, I am unable to download those images. I have had success with downloading files matching this pattern:global_quarterly_2016q1_mosaicBut these do not include NIR. The code I am using to place my order is:def place_order(request, auth): response = requests.post( order_url, data=json.dumps(request), auth=auth, headers={"conten

Muhammad Usman‎‎ 🌱

API code to fetch NAIP data

I am the student doing bachelor's in computer science. I have some coordinates and I want to get the RGB 3m satellite images of 240 by 240 meters area around those coordinates of the particular. I want to automate this process using python, but I cannot figure out how to do so since I am finding hard time to understand API. Can anyone help me do so?

Michael Channer‎‎ 🌱

Bulk order “PL_NITF” via API using cURL or Python?

Hi Planet! Is there someone that could help me order nitfs as referencedhere: https://developers.planet.com/apis/orders/product-bundles-reference/Using coordinates to define a bounding box, I’d like to order nitfs via curl, but I’ve not been successful. Specifically, I’d like to order the product bundle “basic_analytic_dn_nitf_udm2” or “basic_analytic_dn_nitf”. Anyone else been successful acquiring nitfs via curl or python?

rshah‎‎ 🌱

Unable to download imagery

Hello There,We are trying to download imagery from API and for this, we have followed the documentation ( https://developers.planet.com/docs/planetschool/downloading-imagery-with-data-api/ )1) We are able to search imagery with coordinates ( as per documentation https://developers.planet.com/docs/planetschool/searching-for-imagery-with-data-api/) and response ( https://drive.google.com/file/d/1q3xyvH5ScfNs53kvtSSHCxsshr9uwLT_/view?usp=sharing ) uploaded on google docs 2) As per other documentation ("https://developers.planet.com/docs/planetschool/downloading-imagery-with-data-api/") we are trying to download imagery from API and we are making the below API call Endpoint URL: https://api.planet.com/data/v1/item-types/PSOrthoTile/items/5940459_3761508_2022-09-19_2251/assets/Headers : authorization => Method type: GET But when we make API request from this. API return empty response Please have a look (https://www.screencast.com/t/R6I6OZDFTf3y) As per documentation is should return sta

Sebastian Egli‎‎ 🌱

How to get aggregated statistics of a long time series of PlanetScope data of a very small AOI

I was wondering, if planet’s APIs provide an option to get aggregated statistical data of a long time series (~1 year) of PlanetScope daily imagery of a very small area (<1ha) or even just a point/pixel without having to “manually” download all applicable tiles and calculate the aggregated statistics locally.Context: I want to extract average NDVI values of a small region for each day of a year and plot a time series of the NDVI development.Any help is much appreciated!

Fergus Dal‎‎ 🌱

What is the preferred way to work with Planet data in Python?

Hi.I am new to Planet data and I am doing some exploratory work and research using Python. Usually I use libraries such as rasterio to manipulate raster data. However, it seems that with the way Planet data is delivered (I am using PSScene 1B data), it is hard to read in the raster with the metadata directly. I find myself trying to parse the relevant information from the XML metadata file manually.Is there a recommended way to solve this issue, such that I don’t have to write my own parsing functions?Any tips on working with Planet data in python in general would be much appreciated.

Abraham Parrish‎‎ 🌱

8 band surface reflectance order

I am trying to order 8 band surface reflectance scenes but get an error indicating an bad bundle type. I enteredfor item type and ortho_analytic_8b_sr as the product bundle.

sarasafaviPlaneteer 🌎

Announcing: Planet SDK for Python 2.0.0 is live!

A few months ago, we let you know about the first beta release of our new Python SDK and CLI. On behalf of the Developer Relations team here at Planet, I’m so excited to announce that this new toolkit is now live and available to all. This new and improved toolkit took the best parts of the original Planet Python library and added a number of great improvements. If you’ve had the opportunity to use the beta tool, you’ll already be familiar with how much easier it makes working with Planet’s APIs in Python: the 2.0 release of our Python SDK abstracts out all the details of interacting with Planet’s APIs, so you can focus on actually using the data and building workflows. We’ve also built a new Command-Line Interface to enable that same easy interaction with Planet APIs – without using code. If you’re already familiar with Planet’s V1 CLI, the new and improved CLI is similar while also allowing you to work in a more modular fashion, enabling a wider array of workflows. Check out the docu

pierrick rambaud‎‎ 🌱

How to request the list of available mosaics from the Python API V2

Hi,I was previously using the version 1, waiting for the release of the v2 but the numerous bugs that are rising from 1.4.9 forced me to wire on the more recent release candidates. Prior, using an authenticated client, I was able to request the list of mosaics using the following:import osimport planetclient = planet.api.ClientV1(api_key=os.environ["PL_API_KEY"])mosaics = client.list_mosaics().get()print(mosaics) Is it still possible in V2 ? I searched for a list_mosaics or get_mosaics method but I found nothing.

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