Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2019-07-19 09:36:07	ga_s2bm_ard_3-2-1_55HGD_2019-07-19_final
2019-07-29 09:36:07	ga_s2bm_ard_3-2-1_55HGD_2019-07-29_final
2019-08-08 09:36:06	ga_s2bm_ard_3-2-1_55HGD_2019-08-08_final
2019-08-18 09:36:05	ga_s2bm_ard_3-2-1_55HGD_2019-08-18_final
2019-08-28 09:36:03	ga_s2bm_ard_3-2-1_55HGD_2019-08-28_final
2019-09-07 09:36:01	ga_s2bm_ard_3-2-1_55HGD_2019-09-07_final
2019-09-17 09:35:58	ga_s2bm_ard_3-2-1_55HGD_2019-09-17_final
2019-09-27 09:35:59	ga_s2bm_ard_3-2-1_55HGD_2019-09-27_final
2019-10-07 09:35:59	ga_s2bm_ard_3-2-1_55HGD_2019-10-07_final
2019-10-17 09:36:00	ga_s2bm_ard_3-2-1_55HGD_2019-10-17_final
2019-10-27 09:36:00	ga_s2bm_ard_3-2-1_55HGD_2019-10-27_final
2019-11-06 09:35:59	ga_s2bm_ard_3-2-1_55HGD_2019-11-06_final
2019-11-16 09:35:57	ga_s2bm_ard_3-2-1_55HGD_2019-11-16_final
2019-12-06 09:35:53	ga_s2bm_ard_3-2-1_55HGD_2019-12-06_final
2019-12-16 09:35:53	ga_s2bm_ard_3-2-1_55HGD_2019-12-16_final
2019-12-26 09:35:54	ga_s2bm_ard_3-2-1_55HGD_2019-12-26_final
2020-01-05 09:35:53	ga_s2bm_ard_3-2-1_55HGD_2020-01-05_final
2020-01-15 09:35:53	ga_s2bm_ard_3-2-1_55HGD_2020-01-15_final
2020-01-25 09:35:52	ga_s2bm_ard_3-2-1_55HGD_2020-01-25_final
2020-02-04 09:35:52	ga_s2bm_ard_3-2-1_55HGD_2020-02-04_final
2020-02-14 09:35:54	ga_s2bm_ard_3-2-1_55HGD_2020-02-14_final
2020-02-24 09:35:55	ga_s2bm_ard_3-2-1_55HGD_2020-02-24_final
2020-03-05 09:35:56	ga_s2bm_ard_3-2-1_55HGD_2020-03-05_final
2020-03-15 09:35:57	ga_s2bm_ard_3-2-1_55HGD_2020-03-15_final
2020-03-25 09:35:56	ga_s2bm_ard_3-2-1_55HGD_2020-03-25_final
2020-04-04 09:35:56	ga_s2bm_ard_3-2-1_55HGD_2020-04-04_final
2020-04-14 09:35:54	ga_s2bm_ard_3-2-1_55HGD_2020-04-14_final
2020-04-24 09:35:48	ga_s2bm_ard_3-2-1_55HGD_2020-04-24_final
2020-04-24 09:35:55	ga_s2bm_ard_3-2-1_55HGD_2020-04-24_final
2020-05-04 09:35:56	ga_s2bm_ard_3-2-1_55HGD_2020-05-04_final
2020-05-14 09:35:58	ga_s2bm_ard_3-2-1_55HGD_2020-05-14_final
2020-05-24 09:35:59	ga_s2bm_ard_3-2-1_55HGD_2020-05-24_final
2020-06-03 09:36:00	ga_s2bm_ard_3-2-1_55HGD_2020-06-03_final
2020-06-13 09:36:01	ga_s2bm_ard_3-2-1_55HGD_2020-06-13_final
2020-06-23 09:36:01	ga_s2bm_ard_3-2-1_55HGD_2020-06-23_final
2020-07-03 09:36:01	ga_s2bm_ard_3-2-1_55HGD_2020-07-03_final
2020-07-13 09:36:00	ga_s2bm_ard_3-2-1_55HGD_2020-07-13_final
2020-07-23 09:36:01	ga_s2bm_ard_3-2-1_55HGD_2020-07-23_final
2020-08-02 09:36:02	ga_s2bm_ard_3-2-1_55HGD_2020-08-02_final
2020-08-12 09:36:02	ga_s2bm_ard_3-2-1_55HGD_2020-08-12_final
2020-08-22 09:36:02	ga_s2bm_ard_3-2-1_55HGD_2020-08-22_final
2020-09-01 09:36:02	ga_s2bm_ard_3-2-1_55HGD_2020-09-01_final
2020-09-11 09:36:01	ga_s2bm_ard_3-2-1_55HGD_2020-09-11_final
2020-09-21 09:36:01	ga_s2bm_ard_3-2-1_55HGD_2020-09-21_final
2020-10-01 09:36:02	ga_s2bm_ard_3-2-1_55HGD_2020-10-01_final
2020-10-11 09:36:02	ga_s2bm_ard_3-2-1_55HGD_2020-10-11_final
2020-10-21 09:36:02	ga_s2bm_ard_3-2-1_55HGD_2020-10-21_final
2020-10-31 09:36:01	ga_s2bm_ard_3-2-1_55HGD_2020-10-31_final
2020-11-10 09:36:00	ga_s2bm_ard_3-2-1_55HGD_2020-11-10_final
2022-10-04 09:44:45	ga_s2bm_ard_3-2-1_56JKP_2022-10-04_final.stac-item
2022-12-16 09:49:57	ga_s2bm_ard_3-2-1_55LHH_2022-12-16_nrt.stac-item
2022-12-17 09:28:10	ga_s2bm_ard_3-2-1_56GKV_2022-12-16_nrt.stac-item
2022-12-26 09:49:58	ga_s2bm_ard_3-2-1_55LHH_2022-12-26_nrt.stac-item
2022-12-27 09:28:11	ga_s2bm_ard_3-2-1_56GKV_2022-12-26_nrt.stac-item
2023-01-05 09:49:57	ga_s2bm_ard_3-2-1_55LHH_2023-01-05_nrt.stac-item
2023-01-06 09:28:10	ga_s2bm_ard_3-2-1_56GKV_2023-01-05_nrt.stac-item
2023-01-15 09:49:55	ga_s2bm_ard_3-2-1_55LHH_2023-01-15_nrt.stac-item
2023-01-16 09:28:08	ga_s2bm_ard_3-2-1_56GKV_2023-01-15_nrt.stac-item
2023-01-25 09:49:57	ga_s2bm_ard_3-2-1_55LHH_2023-01-25_nrt.stac-item
2023-01-26 09:28:10	ga_s2bm_ard_3-2-1_56GKV_2023-01-25_nrt.stac-item
2023-02-04 09:49:56	ga_s2bm_ard_3-2-1_55LHH_2023-02-04_nrt.stac-item
2023-02-05 09:28:09	ga_s2bm_ard_3-2-1_56GKV_2023-02-04_nrt.stac-item
2023-02-14 09:49:57	ga_s2bm_ard_3-2-1_55LHH_2023-02-14_nrt.stac-item
2023-02-15 09:28:10	ga_s2bm_ard_3-2-1_56GKV_2023-02-14_nrt.stac-item
2023-02-24 09:49:59	ga_s2bm_ard_3-2-1_55LHH_2023-02-24_nrt.stac-item
2023-02-25 09:28:12	ga_s2bm_ard_3-2-1_56GKV_2023-02-24_nrt.stac-item
2023-03-06 09:50:02	ga_s2bm_ard_3-2-1_55LHH_2023-03-06_nrt.stac-item
2023-03-07 09:28:15	ga_s2bm_ard_3-2-1_56GKV_2023-03-06_nrt.stac-item
2023-03-16 09:50:03	ga_s2bm_ard_3-2-1_55LHH_2023-03-16_nrt.stac-item
2023-03-17 09:28:16	ga_s2bm_ard_3-2-1_56GKV_2023-03-16_nrt.stac-item
2023-03-26 09:50:02	ga_s2bm_ard_3-2-1_55LHH_2023-03-26_nrt.stac-item
2023-03-27 09:28:15	ga_s2bm_ard_3-2-1_56GKV_2023-03-26_nrt.stac-item
2023-04-05 09:50:02	ga_s2bm_ard_3-2-1_55LHH_2023-04-05_nrt.stac-item
2023-04-06 09:28:15	ga_s2bm_ard_3-2-1_56GKV_2023-04-05_nrt.stac-item
2023-04-15 09:50:00	ga_s2bm_ard_3-2-1_55LHH_2023-04-15_nrt.stac-item
2023-04-25 09:50:01	ga_s2bm_ard_3-2-1_55LHH_2023-04-25_nrt.stac-item
2023-04-26 09:28:14	ga_s2bm_ard_3-2-1_56GKV_2023-04-25_nrt.stac-item
2023-05-05 09:50:02	ga_s2bm_ard_3-2-1_55LHH_2023-05-05_nrt.stac-item
2023-05-06 09:28:14	ga_s2bm_ard_3-2-1_56GKV_2023-05-05_nrt.stac-item
2023-05-15 09:50:03	ga_s2bm_ard_3-2-1_55LHH_2023-05-15_nrt.stac-item
2023-05-16 09:28:16	ga_s2bm_ard_3-2-1_56GKV_2023-05-15_nrt.stac-item
2023-05-25 09:50:03	ga_s2bm_ard_3-2-1_55LHH_2023-05-25_nrt.stac-item
2023-05-26 09:28:17	ga_s2bm_ard_3-2-1_56GKV_2023-05-25_nrt.stac-item
2023-06-04 09:50:03	ga_s2bm_ard_3-2-1_55LHH_2023-06-04_nrt.stac-item
2023-06-05 09:28:16	ga_s2bm_ard_3-2-1_56GKV_2023-06-04_nrt.stac-item
2023-06-15 09:28:17	ga_s2bm_ard_3-2-1_56GKV_2023-06-14_nrt.stac-item
2023-06-25 09:28:16	ga_s2bm_ard_3-2-1_56GKV_2023-06-24_nrt.stac-item
2024-01-10 09:49:57	ga_s2bm_ard_3-2-1_55LHH_2024-01-10_nrt.stac-item
2024-01-20 09:49:58	ga_s2bm_ard_3-2-1_55LHH_2024-01-20_nrt.stac-item
2024-01-30 09:49:56	ga_s2bm_ard_3-2-1_55LHH_2024-01-30_nrt.stac-item
2024-02-19 09:50:00	ga_s2bm_ard_3-2-1_55LHH_2024-02-19_nrt.stac-item
2024-02-29 09:49:57	ga_s2bm_ard_3-2-1_55LHH_2024-02-29_nrt.stac-item
2024-03-10 09:49:54	ga_s2bm_ard_3-2-1_55LHH_2024-03-10_nrt.stac-item
2024-03-20 09:49:58	ga_s2bm_ard_3-2-1_55LHH_2024-03-20_nrt.stac-item
2024-03-30 09:49:58	ga_s2bm_ard_3-2-1_55LHH_2024-03-30_nrt.stac-item
2024-04-09 09:49:58	ga_s2bm_ard_3-2-1_55LHH_2024-04-09_interim.stac-item
2024-04-19 09:50:00	ga_s2bm_ard_3-2-1_55LHH_2024-04-19_nrt.stac-item
2024-04-29 09:49:58	ga_s2bm_ard_3-2-1_55LHH_2024-04-29_nrt.stac-item
2024-05-09 09:49:59	ga_s2bm_ard_3-2-1_55LHH_2024-05-09_nrt.stac-item
2024-05-19 09:49:57	ga_s2bm_ard_3-2-1_55LHH_2024-05-19_nrt.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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