Issues in PlanetScope Images in Egypt

Hi

Planet is promising almost daily imagery. It happens that in some days observation is not possible due to weather or occasional technical glitch.
In your AOI I can also data from 2nd, 4th, 5th and 8th of March:

What do you mean that the properties are missing in the metadata? Where specifically are you looking at?

Best,
 

I am using the following function to search for the available images

def NativeSearch(oauth, geo, startdate, enddate, maxcloudpercent):

url = “https://services.sentinel-hub.com/api/v1/dataimport/nativesearch�

payload = {

“provider�: “PLANET�,

“item_typesâ€�: œâ€œPSScene4Bandâ€�],

“filter�: {

“type�: “AndFilter�,

“config�: i

{“type�: “GeometryFilter�, “field_name�: “geometry�, “config�: geo},

{

“type�: “DateRangeFilter�, “field_name�: “acquired�,

“config�: {“gte�: isodate(startdate), “lte�: isodate(enddate, is_end=True)}

},

{

“type�: “RangeFilter�, “field_name�: “cloud_cover�, “config�: {“lte�: maxcloudpercent/100} # We use maxcloudpercent=100

},

{“type�: “StringInFilter�, “field_name�: “quality_category�, “config�: r“standard�]},

{“typeâ€� : “PermissionFilterâ€�, “configâ€� : € “assets:downloadâ€� ]},

{“typeâ€� : “AssetFilterâ€�, “configâ€� : â “analytic_srâ€� ]}

]

}

}

response = oauth.post(url, json=payload)

response.raise_for_status()

return response

I run our default native search with the same polygon and I got 7 results:

"acquired": "2022-03-08T08:33:20.294516Z",
"published": "2022-03-09T05:26:31Z",

"acquired": "2022-03-05T07:44:38.94697Z",
"published": "2022-03-07T03:34:26Z",

 "acquired": "2022-03-05T07:44:36.47233Z",
"published": "2022-03-06T03:58:26Z",

"acquired": "2022-03-04T07:44:28.091686Z",
"published": "2022-03-05T02:21:31Z",

"acquired": "2022-03-04T07:48:45.835235Z",
"published": "2022-03-05T01:52:01Z",

"acquired": "2022-03-03T08:08:23.881687Z",
"published": "2022-03-06T06:56:31Z",

"acquired": "2022-03-02T07:43:31.594908Z",
"published": "2022-03-02T20:42:22Z",

Investigating a bit further I think the issue is in the filter
{"type": "StringInFilter", "field_name": "quality_category", "config": ["standard"]},

What we recommend you do is:

• search for analytic_sr_udm2
• use udm2 pixel-based mask to do any furhter filtering

Best,

Thanks. I did as you suggested and I saw the missing images. However the following images still missing some meta-data (like “visible_percent� and “clear_percent�):

acquired: 2022-03-03T08:08:23.881687Z
published: 2022-03-06T06:56:31Z
…
acquired: 2022-03-05T07:44:36.47233Z
published: 2022-03-06T03:58:26Z
…
acquired: 2022-03-04T07:48:45.835235Z
published: 2022-03-05T01:52:01Z

Yes, this is probably the reason, why they are flagged differently with the quality.

As mentioned, we suggest to not rely on these meta-data as they are scene based - each scene is 200km2, so your area of 1 km2 is in most cases unrelated to the meta-data here…

If you use UDM2, you will be able to filtter by AOI.

Thanks a lot for your responses.

Is there a way to check for cloud cover inside the AOI only and not in the entire tile?

Yes, but you need to change your process a bit:

• use Subscriptions API to have all observed data available within Sentinel Hub as soon as possible


• use the meta-data cloud screening option similar to how we describe it for Sentinel-2
  

Thanks a lot.

I will follow your suggestion.

Hello!I’m a chinese user.Why can’t I see satellite pictures recently?