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I have downloaded several planet PS Scenes, all of them are captured by PSB.SD. According to https://developers.planet.com/docs/data/planetscope/, the image size should be 32.5 * 19.6 km2. However, when I use python to load the tiff file and print the numpy array shape, I get following results. All images have different size, and some are significantly smaller than others, like (547, 13063). Why is it like this? I can provide the file name if it is necessary. Thanks.

 

(8519, 11745) (9018, 13084) (7716, 13091) (9424, 12945) (5661, 4270) (9410, 13041) (8524, 11748) (9439, 12959) (9407, 13028) (8515, 11734) (9419, 13039) (3742, 13094) (547, 13063) (8570, 5336) (9390, 13051) (8578, 8503) (1973, 12990) (7370, 12967) (8577, 6384) (3999, 9560) (5910, 13025) (2293, 13087) (5041, 13054) (9432, 12959) (8583, 7444) (7560, 11803) (7586, 11785) (2799, 11786) (6345, 13019)

Hello! My name is Mariana Curdoglo and I am the Product Manager of PlanetScope images. Do you much providing couple of example of scene ids? I can take a look and see if there are issues with them?

Mariana


Thanks. Here are the ids.

"20231011_174158_66_2420", "20231011_174200_76_2420", "20231011_174202_86_2420", "20231011_174204_96_2420", "20231011_174207_07_2420", "20231011_174209_17_2420", "20231011_174357_03_24d0", "20231011_174359_32_24d0", "20231011_174401_60_24d0", "20231011_174403_88_24d0", "20231011_174406_16_24d0", "20231011_174408_45_24d0", "20231011_174533_42_24bc", "20231011_174535_75_24bc", "20231011_174538_08_24bc", "20231011_174545_09_24bc", "20231011_174547_42_24bc", "20231011_182700_65_2482", "20231011_182702_70_2482", "20231011_182704_75_2482", "20231011_182706_79_2482", "20231011_182708_84_2482", "20231011_182710_89_2482", "20231012_174707_78_24ba", "20231012_174710_12_24ba", "20231012_174712_45_24ba", "20231012_174714_78_24ba", "20231012_174717_12_24ba", "20231012_174719_45_24ba",


I used QGIS to calculate the area of footprints of some of the images and this is what I am seeing. These seem correct to me. I realize that scene footprint size and the actual tiff tiles aren’t 100% same but they are close enough in SuperDove images that I am confident these are also the size of the tiffs. I’d need to get someone else to help you with using numpy in case there is something else going on. 

 The 32.5 * 19.6 km2 metric provide is approximate and not exact. 

scene id

size (approximate)

20231011_174158_66_2420

607 km²

20231011_174204_96_2420

609 km²

20231011_174357_03_24d0

740 km²

20231011_174403_88_24d0

743 km²

20231011_174545_09_24bc

741 km²

20231011_182702_70_2482

604 km²

20231011_182708_84_2482

605 km²

20231012_174710_12_24ba

730 km²

20231012_174717_12_24ba

733 km²

20231011_174200_76_2420

608 km²

20231011_174207_07_2420

609 km²

20231011_174359_32_24d0

740 km²

20231011_174406_16_24d0

743 km²

20231011_174535_75_24bc

741 km²

20231011_174547_42_24bc 743 km²
20231011_182704_75_2482 604 km²

 


Thanks for the reply. I am wondering if planet provides any API so that I can get the image dimension (num of pixels).


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