Search and filter S1 and S2 data
Contents
Search and filter S1 and S2 data#
Short description
This notebook introduces the Search and Filter functionality for SpaceSense catalog entries.
In this notebook, you will search for Sentinel-1 and Sentinel-2 images over a specified area and time, and filter the returned results.
0 - Install Spacesense Client Library and dependencies#
Please follow the installation process and use the virtual environment in this notebook.
1 - Import spacesense object(s) and other dependencies#
[1]:
from spacesense import Client
2 - Configure the API Key by setting the SS_API_KEY
environment variable#
[2]:
import os
if "SS_API_KEY" not in os.environ:
from getpass import getpass
api_key = getpass('Enter your api key : ')
os.environ["SS_API_KEY"] = api_key
3 - Define AOI and output options#
[3]:
# Define the AOI
aoi = {
"type": "FeatureCollection",
"features": [
{
"id": "0",
"type": "Feature",
"properties": {},
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
8.622499,
39.831038
],
[
8.622499,
39.827197
],
[
8.630311,
39.827197
],
[
8.630311,
39.831038
],
[
8.622499,
39.831038
]
]
]
}
}
]
}
# Get an instance of the SpaceSense Client object
client = Client(id="search_filter_s1_s2")
# Enable to save data in local files
client.enable_local_output()
4 - Search S1#
[4]:
start_date = "2021-01-01"
end_date = "2021-01-17"
# Retrieves all S1 images corresponding to the aoi, start date, and end date
res_S1 = client.s1_search(aoi=aoi, start_date=start_date, end_date=end_date)
res_S1.dataframe
[4]:
title | date | swath_coverage_percentage | relativeorbitnumber | lastrelativeorbitnumber | producttype | sensoroperationalmode | acquisitiontype | polarisationmode | beginposition | platformname | missiondatatakeid | orbitdirection | orbitnumber | instrumentname | lastorbitnumber | endposition | ingestiondate | slicenumber | platformidentifier | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | S1B_IW_GRDH_1SDV_20210101T172105_20210101T1721... | 2021-01-01 | 100.0 | 88.0 | 88.0 | GRD | IW | NOMINAL | VV VH | 2021-01-01T17:21:05.249000 | Sentinel-1 | 194718.0 | ASCENDING | 24964.0 | Synthetic Aperture Radar (C-band) | 24964.0 | 2021-01-01T17:21:30.248000 | 2021-01-01T21:41:44.626000 | 10.0 | 2016-025A |
1 | S1A_IW_GRDH_1SDV_20210101T052857_20210101T0529... | 2021-01-01 | 100.0 | 168.0 | 168.0 | GRD | IW | NOMINAL | VV VH | 2021-01-01T05:28:57.811000 | Sentinel-1 | 275881.0 | DESCENDING | 35940.0 | Synthetic Aperture Radar (C-band) | 35940.0 | 2021-01-01T05:29:22.811000 | 2021-01-01T09:42:44.752000 | 24.0 | 2014-016A |
2 | S1A_IW_GRDH_1SDV_20210107T172154_20210107T1722... | 2021-01-07 | 100.0 | 88.0 | 88.0 | GRD | IW | NOMINAL | VV VH | 2021-01-07T17:21:54.456000 | Sentinel-1 | 276727.0 | ASCENDING | 36035.0 | Synthetic Aperture Radar (C-band) | 36035.0 | 2021-01-07T17:22:19.456000 | 2021-01-08T19:10:51.074000 | 7.0 | 2014-016A |
3 | S1B_IW_GRDH_1SDV_20210107T052818_20210107T0528... | 2021-01-07 | 100.0 | 168.0 | 168.0 | GRD | IW | NOMINAL | VV VH | 2021-01-07T05:28:18.784000 | Sentinel-1 | 195358.0 | DESCENDING | 25044.0 | Synthetic Aperture Radar (C-band) | 25044.0 | 2021-01-07T05:28:53.839000 | 2021-01-07T10:54:44.856000 | 11.0 | 2016-025A |
4 | S1B_IW_GRDH_1SDV_20210113T172104_20210113T1721... | 2021-01-13 | 100.0 | 88.0 | 88.0 | GRD | IW | NOMINAL | VV VH | 2021-01-13T17:21:04.721000 | Sentinel-1 | 196160.0 | ASCENDING | 25139.0 | Synthetic Aperture Radar (C-band) | 25139.0 | 2021-01-13T17:21:29.719000 | 2021-01-14T12:43:29.264000 | 10.0 | 2016-025A |
5 | S1A_IW_GRDH_1SDV_20210113T052859_20210113T0529... | 2021-01-13 | 100.0 | 168.0 | 168.0 | GRD | IW | NOMINAL | VV VH | 2021-01-13T05:28:59.422000 | Sentinel-1 | 277466.0 | DESCENDING | 36115.0 | Synthetic Aperture Radar (C-band) | 36115.0 | 2021-01-13T05:29:24.421000 | 2021-01-13T10:04:56.375000 | 5.0 | 2014-016A |
5 - Search S2#
[5]:
start_date = "2021-01-01"
end_date = "2021-01-31"
# Retrieves all S2 images corresponding to the aoi, start date, and end date
res_S2 = client.s2_search(aoi=aoi, start_date=start_date, end_date=end_date)
res_S2.dataframe
[5]:
id | date | tile | valid_pixel_percentage | platform | relative_orbit_number | product_id | datetime | swath_coverage_percentage | no_data | cloud_shadows | vegetation | not_vegetated | water | cloud_medium_probability | cloud_high_probability | thin_cirrus | snow | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
12 | S2B_32TMK_20210101_0_L2A | 2021-01-01 | 32TMK | 0.00 | sentinel-2b | 065 | S2B_MSIL2A_20210101T102329_N0214_R065_T32TMK_2... | 2021-01-01T10:29:42Z | 100.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 100.00 | 0.00 | 0.0 |
11 | S2A_32TMK_20210103_0_L2A | 2021-01-03 | 32TMK | 0.00 | sentinel-2a | 022 | S2A_MSIL2A_20210103T101411_N0214_R022_T32TMK_2... | 2021-01-03T10:19:48Z | 100.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 100.00 | 0.00 | 0.0 |
10 | S2A_32TMK_20210106_0_L2A | 2021-01-06 | 32TMK | 0.00 | sentinel-2a | 065 | S2A_MSIL2A_20210106T102411_N0214_R065_T32TMK_2... | 2021-01-06T10:29:44Z | 100.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 100.00 | 0.00 | 0.0 |
9 | S2B_32TMK_20210108_0_L2A | 2021-01-08 | 32TMK | 50.73 | sentinel-2b | 022 | S2B_MSIL2A_20210108T101319_N0214_R022_T32TMK_2... | 2021-01-08T10:19:47Z | 100.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.0 | 49.27 | 0.00 | 0.00 | 0.0 |
8 | S2B_32TMK_20210111_0_L2A | 2021-01-11 | 32TMK | 5.08 | sentinel-2b | 065 | S2B_MSIL2A_20210111T102309_N0214_R065_T32TMK_2... | 2021-01-11T10:29:43Z | 100.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.0 | 16.69 | 77.53 | 0.70 | 0.0 |
7 | S2A_32TMK_20210113_0_L2A | 2021-01-13 | 32TMK | 0.00 | sentinel-2a | 022 | S2A_MSIL2A_20210113T101401_N0214_R022_T32TMK_2... | 2021-01-13T10:19:48Z | 100.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 100.00 | 0.00 | 0.0 |
6 | S2A_32TMK_20210116_0_L2A | 2021-01-16 | 32TMK | 100.00 | sentinel-2a | 065 | S2A_MSIL2A_20210116T102351_N0214_R065_T32TMK_2... | 2021-01-16T10:29:44Z | 100.0 | 0.0 | 0.0 | 97.56 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 |
5 | S2B_32TMK_20210118_0_L2A | 2021-01-18 | 32TMK | 100.00 | sentinel-2b | 022 | S2B_MSIL2A_20210118T101249_N0214_R022_T32TMK_2... | 2021-01-18T10:19:47Z | 100.0 | 0.0 | 0.0 | 96.59 | 0.49 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 |
4 | S2B_32TMK_20210121_0_L2A | 2021-01-21 | 32TMK | 0.00 | sentinel-2b | 065 | S2B_MSIL2A_20210121T102239_N0214_R065_T32TMK_2... | 2021-01-21T10:29:43Z | 100.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.0 | 61.38 | 0.00 | 38.62 | 0.0 |
3 | S2A_32TMK_20210123_0_L2A | 2021-01-23 | 32TMK | 100.00 | sentinel-2a | 022 | S2A_MSIL2A_20210123T101321_N0214_R022_T32TMK_2... | 2021-01-23T10:19:48Z | 100.0 | 0.0 | 0.0 | 97.40 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 |
2 | S2A_32TMK_20210126_0_L2A | 2021-01-26 | 32TMK | 100.00 | sentinel-2a | 065 | S2A_MSIL2A_20210126T102311_N0214_R065_T32TMK_2... | 2021-01-26T10:29:44Z | 100.0 | 0.0 | 0.0 | 97.40 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 |
1 | S2B_32TMK_20210128_0_L2A | 2021-01-28 | 32TMK | 0.00 | sentinel-2b | 022 | S2B_MSIL2A_20210128T101159_N0214_R022_T32TMK_2... | 2021-01-28T10:19:47Z | 100.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 100.00 | 0.00 | 0.0 |
0 | S2B_32TMK_20210131_0_L2A | 2021-01-31 | 32TMK | 0.00 | sentinel-2b | 065 | S2B_MSIL2A_20210131T102149_N0214_R065_T32TMK_2... | 2021-01-31T10:29:43Z | 100.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 100.00 | 0.00 | 0.0 |
6 - S2 search results can be viewed using a calendar#
[6]:
print(res_S2.item_collection.calendar())
2021
January February March
Mo Tu We Th Fr Sa Su Mo Tu We Th Fr Sa Su Mo Tu We Th Fr Sa Su
1 2 3 1 2 3 4 5 6 7 1 2 3 4 5 6 7
4 5 6 7 8 9 10 8 9 10 11 12 13 14 8 9 10 11 12 13 14
11 12 13 14 15 16 17 15 16 17 18 19 20 21 15 16 17 18 19 20 21
18 19 20 21 22 23 24 22 23 24 25 26 27 28 22 23 24 25 26 27 28
25 26 27 28 29 30 31 29 30 31
sentinel-2a (1)
sentinel-2b (1)
13 total dates
7 - Filter and select only the S1 and S2 images you require#
There are many ways to select the data you need, as it is simply manipulating the Pandas Dataframe object. Here is a link to the Pandas documentation for DataFrames, and there are introductory tutorials available to teach the basics of DataFrame structure and manipulation here and here
So experiment and find the best way that suits your use case!
This same process works for both S1 and S2 search results. The following examples simply display the result after filtering. To apply the filters, set them equal to a new or existing variable.
[7]:
# Select only the first (0) and second (1) elements of the Sentinel-1 results by their index (using "iloc")
res_S1.dataframe.iloc[[0,1]]
[7]:
title | date | swath_coverage_percentage | relativeorbitnumber | lastrelativeorbitnumber | producttype | sensoroperationalmode | acquisitiontype | polarisationmode | beginposition | platformname | missiondatatakeid | orbitdirection | orbitnumber | instrumentname | lastorbitnumber | endposition | ingestiondate | slicenumber | platformidentifier | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | S1B_IW_GRDH_1SDV_20210101T172105_20210101T1721... | 2021-01-01 | 100.0 | 88.0 | 88.0 | GRD | IW | NOMINAL | VV VH | 2021-01-01T17:21:05.249000 | Sentinel-1 | 194718.0 | ASCENDING | 24964.0 | Synthetic Aperture Radar (C-band) | 24964.0 | 2021-01-01T17:21:30.248000 | 2021-01-01T21:41:44.626000 | 10.0 | 2016-025A |
1 | S1A_IW_GRDH_1SDV_20210101T052857_20210101T0529... | 2021-01-01 | 100.0 | 168.0 | 168.0 | GRD | IW | NOMINAL | VV VH | 2021-01-01T05:28:57.811000 | Sentinel-1 | 275881.0 | DESCENDING | 35940.0 | Synthetic Aperture Radar (C-band) | 35940.0 | 2021-01-01T05:29:22.811000 | 2021-01-01T09:42:44.752000 | 24.0 | 2014-016A |
[8]:
# Filter the Sentinel-2 search results by the "valid_pixel_percentage" column
# This filter takes only those results with more than 80% of pixels considered valid
res_S2.dataframe[res_S2.dataframe["valid_pixel_percentage"] > 80]
[8]:
id | date | tile | valid_pixel_percentage | platform | relative_orbit_number | product_id | datetime | swath_coverage_percentage | no_data | cloud_shadows | vegetation | not_vegetated | water | cloud_medium_probability | cloud_high_probability | thin_cirrus | snow | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6 | S2A_32TMK_20210116_0_L2A | 2021-01-16 | 32TMK | 100.0 | sentinel-2a | 065 | S2A_MSIL2A_20210116T102351_N0214_R065_T32TMK_2... | 2021-01-16T10:29:44Z | 100.0 | 0.0 | 0.0 | 97.56 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
5 | S2B_32TMK_20210118_0_L2A | 2021-01-18 | 32TMK | 100.0 | sentinel-2b | 022 | S2B_MSIL2A_20210118T101249_N0214_R022_T32TMK_2... | 2021-01-18T10:19:47Z | 100.0 | 0.0 | 0.0 | 96.59 | 0.49 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
3 | S2A_32TMK_20210123_0_L2A | 2021-01-23 | 32TMK | 100.0 | sentinel-2a | 022 | S2A_MSIL2A_20210123T101321_N0214_R022_T32TMK_2... | 2021-01-23T10:19:48Z | 100.0 | 0.0 | 0.0 | 97.40 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
2 | S2A_32TMK_20210126_0_L2A | 2021-01-26 | 32TMK | 100.0 | sentinel-2a | 065 | S2A_MSIL2A_20210126T102311_N0214_R065_T32TMK_2... | 2021-01-26T10:29:44Z | 100.0 | 0.0 | 0.0 | 97.40 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Learn more about what “valid_pixel_percentage” is here
[9]:
# Filter S2 on specific dates or date ranges
res_S2.dataframe[res_S2.dataframe.date >= "2021-01-13"]
[9]:
id | date | tile | valid_pixel_percentage | platform | relative_orbit_number | product_id | datetime | swath_coverage_percentage | no_data | cloud_shadows | vegetation | not_vegetated | water | cloud_medium_probability | cloud_high_probability | thin_cirrus | snow | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7 | S2A_32TMK_20210113_0_L2A | 2021-01-13 | 32TMK | 0.0 | sentinel-2a | 022 | S2A_MSIL2A_20210113T101401_N0214_R022_T32TMK_2... | 2021-01-13T10:19:48Z | 100.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 100.0 | 0.00 | 0.0 |
6 | S2A_32TMK_20210116_0_L2A | 2021-01-16 | 32TMK | 100.0 | sentinel-2a | 065 | S2A_MSIL2A_20210116T102351_N0214_R065_T32TMK_2... | 2021-01-16T10:29:44Z | 100.0 | 0.0 | 0.0 | 97.56 | 0.00 | 0.0 | 0.00 | 0.0 | 0.00 | 0.0 |
5 | S2B_32TMK_20210118_0_L2A | 2021-01-18 | 32TMK | 100.0 | sentinel-2b | 022 | S2B_MSIL2A_20210118T101249_N0214_R022_T32TMK_2... | 2021-01-18T10:19:47Z | 100.0 | 0.0 | 0.0 | 96.59 | 0.49 | 0.0 | 0.00 | 0.0 | 0.00 | 0.0 |
4 | S2B_32TMK_20210121_0_L2A | 2021-01-21 | 32TMK | 0.0 | sentinel-2b | 065 | S2B_MSIL2A_20210121T102239_N0214_R065_T32TMK_2... | 2021-01-21T10:29:43Z | 100.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.0 | 61.38 | 0.0 | 38.62 | 0.0 |
3 | S2A_32TMK_20210123_0_L2A | 2021-01-23 | 32TMK | 100.0 | sentinel-2a | 022 | S2A_MSIL2A_20210123T101321_N0214_R022_T32TMK_2... | 2021-01-23T10:19:48Z | 100.0 | 0.0 | 0.0 | 97.40 | 0.00 | 0.0 | 0.00 | 0.0 | 0.00 | 0.0 |
2 | S2A_32TMK_20210126_0_L2A | 2021-01-26 | 32TMK | 100.0 | sentinel-2a | 065 | S2A_MSIL2A_20210126T102311_N0214_R065_T32TMK_2... | 2021-01-26T10:29:44Z | 100.0 | 0.0 | 0.0 | 97.40 | 0.00 | 0.0 | 0.00 | 0.0 | 0.00 | 0.0 |
1 | S2B_32TMK_20210128_0_L2A | 2021-01-28 | 32TMK | 0.0 | sentinel-2b | 022 | S2B_MSIL2A_20210128T101159_N0214_R022_T32TMK_2... | 2021-01-28T10:19:47Z | 100.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 100.0 | 0.00 | 0.0 |
0 | S2B_32TMK_20210131_0_L2A | 2021-01-31 | 32TMK | 0.0 | sentinel-2b | 065 | S2B_MSIL2A_20210131T102149_N0214_R065_T32TMK_2... | 2021-01-31T10:29:43Z | 100.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 100.0 | 0.00 | 0.0 |
[10]:
# Filter the Sentinel-2 search results by the "cloud_high_probability" column
# This filter takes only those results with less than 5% of pixels classificed as "cloud_high_probability"
res_S2.dataframe[res_S2.dataframe["cloud_high_probability"] < 5]
[10]:
id | date | tile | valid_pixel_percentage | platform | relative_orbit_number | product_id | datetime | swath_coverage_percentage | no_data | cloud_shadows | vegetation | not_vegetated | water | cloud_medium_probability | cloud_high_probability | thin_cirrus | snow | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9 | S2B_32TMK_20210108_0_L2A | 2021-01-08 | 32TMK | 50.73 | sentinel-2b | 022 | S2B_MSIL2A_20210108T101319_N0214_R022_T32TMK_2... | 2021-01-08T10:19:47Z | 100.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.0 | 49.27 | 0.0 | 0.00 | 0.0 |
6 | S2A_32TMK_20210116_0_L2A | 2021-01-16 | 32TMK | 100.00 | sentinel-2a | 065 | S2A_MSIL2A_20210116T102351_N0214_R065_T32TMK_2... | 2021-01-16T10:29:44Z | 100.0 | 0.0 | 0.0 | 97.56 | 0.00 | 0.0 | 0.00 | 0.0 | 0.00 | 0.0 |
5 | S2B_32TMK_20210118_0_L2A | 2021-01-18 | 32TMK | 100.00 | sentinel-2b | 022 | S2B_MSIL2A_20210118T101249_N0214_R022_T32TMK_2... | 2021-01-18T10:19:47Z | 100.0 | 0.0 | 0.0 | 96.59 | 0.49 | 0.0 | 0.00 | 0.0 | 0.00 | 0.0 |
4 | S2B_32TMK_20210121_0_L2A | 2021-01-21 | 32TMK | 0.00 | sentinel-2b | 065 | S2B_MSIL2A_20210121T102239_N0214_R065_T32TMK_2... | 2021-01-21T10:29:43Z | 100.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.0 | 61.38 | 0.0 | 38.62 | 0.0 |
3 | S2A_32TMK_20210123_0_L2A | 2021-01-23 | 32TMK | 100.00 | sentinel-2a | 022 | S2A_MSIL2A_20210123T101321_N0214_R022_T32TMK_2... | 2021-01-23T10:19:48Z | 100.0 | 0.0 | 0.0 | 97.40 | 0.00 | 0.0 | 0.00 | 0.0 | 0.00 | 0.0 |
2 | S2A_32TMK_20210126_0_L2A | 2021-01-26 | 32TMK | 100.00 | sentinel-2a | 065 | S2A_MSIL2A_20210126T102311_N0214_R065_T32TMK_2... | 2021-01-26T10:29:44Z | 100.0 | 0.0 | 0.0 | 97.40 | 0.00 | 0.0 | 0.00 | 0.0 | 0.00 | 0.0 |
[11]:
# Filter S1 on orbit number
res_S1.dataframe[res_S1.dataframe.orbitnumber == 25044]
[11]:
title | date | swath_coverage_percentage | relativeorbitnumber | lastrelativeorbitnumber | producttype | sensoroperationalmode | acquisitiontype | polarisationmode | beginposition | platformname | missiondatatakeid | orbitdirection | orbitnumber | instrumentname | lastorbitnumber | endposition | ingestiondate | slicenumber | platformidentifier | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | S1B_IW_GRDH_1SDV_20210107T052818_20210107T0528... | 2021-01-07 | 100.0 | 168.0 | 168.0 | GRD | IW | NOMINAL | VV VH | 2021-01-07T05:28:18.784000 | Sentinel-1 | 195358.0 | DESCENDING | 25044.0 | Synthetic Aperture Radar (C-band) | 25044.0 | 2021-01-07T05:28:53.839000 | 2021-01-07T10:54:44.856000 | 11.0 | 2016-025A |
[12]:
# Filter S2 on satellite platform (S2A or S2B)
res_S2.dataframe[res_S2.dataframe.platform == "sentinel-2a"]
[12]:
id | date | tile | valid_pixel_percentage | platform | relative_orbit_number | product_id | datetime | swath_coverage_percentage | no_data | cloud_shadows | vegetation | not_vegetated | water | cloud_medium_probability | cloud_high_probability | thin_cirrus | snow | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
11 | S2A_32TMK_20210103_0_L2A | 2021-01-03 | 32TMK | 0.0 | sentinel-2a | 022 | S2A_MSIL2A_20210103T101411_N0214_R022_T32TMK_2... | 2021-01-03T10:19:48Z | 100.0 | 0.0 | 0.0 | 0.00 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 |
10 | S2A_32TMK_20210106_0_L2A | 2021-01-06 | 32TMK | 0.0 | sentinel-2a | 065 | S2A_MSIL2A_20210106T102411_N0214_R065_T32TMK_2... | 2021-01-06T10:29:44Z | 100.0 | 0.0 | 0.0 | 0.00 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 |
7 | S2A_32TMK_20210113_0_L2A | 2021-01-13 | 32TMK | 0.0 | sentinel-2a | 022 | S2A_MSIL2A_20210113T101401_N0214_R022_T32TMK_2... | 2021-01-13T10:19:48Z | 100.0 | 0.0 | 0.0 | 0.00 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 |
6 | S2A_32TMK_20210116_0_L2A | 2021-01-16 | 32TMK | 100.0 | sentinel-2a | 065 | S2A_MSIL2A_20210116T102351_N0214_R065_T32TMK_2... | 2021-01-16T10:29:44Z | 100.0 | 0.0 | 0.0 | 97.56 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
3 | S2A_32TMK_20210123_0_L2A | 2021-01-23 | 32TMK | 100.0 | sentinel-2a | 022 | S2A_MSIL2A_20210123T101321_N0214_R022_T32TMK_2... | 2021-01-23T10:19:48Z | 100.0 | 0.0 | 0.0 | 97.40 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
2 | S2A_32TMK_20210126_0_L2A | 2021-01-26 | 32TMK | 100.0 | sentinel-2a | 065 | S2A_MSIL2A_20210126T102311_N0214_R065_T32TMK_2... | 2021-01-26T10:29:44Z | 100.0 | 0.0 | 0.0 | 97.40 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |