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
2017-07-21 11:56:07	ga_s2bm_ard_3-2-1_50JKM_2017-07-21_final
2017-08-30 11:56:02	ga_s2bm_ard_3-2-1_50JKM_2017-08-30_final
2017-09-10 11:21:50	ga_s2bm_ard_3-2-1_51KYU_2017-09-10_final
2017-12-26 11:11:50	ga_s2bm_ard_3-2-1_51JZN_2017-12-26_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KYV_2018-01-11_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JVM_2018-01-31_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51HTD_2018-03-02_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HNK_2018-03-15_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50KNC_2018-03-21_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50HPH_2018-03-25_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HMH_2018-04-14_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_51KVT_2018-06-03_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_51HUE_2018-06-20_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HMJ_2018-07-03_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50JML_2018-07-16_final
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HPH_2018-09-01_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51HUD_2018-10-05_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50JKM_2018-10-27_final
2018-12-16 12:06:04	ga_s2bm_ard_3-2-1_50JKM_2018-12-16_final
2018-12-20 11:44:18	ga_s2bm_ard_3-2-1_51JUN_2018-12-20_final
2019-01-08 12:15:18	ga_s2bm_ard_3-2-1_49JGK_2019-01-08_final
2019-02-05 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2019-02-05_final
2019-03-03 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2019-03-03_final
2019-03-23 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2019-03-23_final
2019-04-13 11:26:19	ga_s2bm_ard_3-2-1_51JVF_2019-04-13_final
2019-04-19 11:46:58	ga_s2bm_ard_3-2-1_50HNJ_2019-04-19_final
2019-05-03 11:24:12	ga_s2bm_ard_3-2-1_51KZP_2019-05-03_final
2019-05-09 11:47:11	ga_s2bm_ard_3-2-1_50HPH_2019-05-09_final
2019-05-16 11:36:55	ga_s2bm_ard_3-2-1_51HTD_2019-05-16_final
2019-05-26 11:34:50	ga_s2bm_ard_3-2-1_51JWM_2019-05-26_final
2019-06-08 11:45:11	ga_s2bm_ard_3-2-1_50JQR_2019-06-08_final
2019-06-08 11:46:56	ga_s2bm_ard_3-2-1_50HPJ_2019-06-08_final
2019-07-18 11:42:54	ga_s2bm_ard_3-2-1_51KUV_2019-07-18_final
2019-07-18 11:47:00	ga_s2bm_ard_3-2-1_50HNJ_2019-07-18_final
2019-10-20 11:23:55	ga_s2bm_ard_3-2-1_51KYQ_2019-10-20_final
2019-10-20 11:24:20	ga_s2bm_ard_3-2-1_51JZN_2019-10-20_final
2020-01-08 11:24:46	ga_s2bm_ard_3-2-1_51JYL_2020-01-08_final
2020-01-14 11:44:58	ga_s2bm_ard_3-2-1_50JQR_2020-01-14_final
2020-02-10 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2020-02-10_final
2020-02-19 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2020-02-19_final
2020-03-01 11:34:44	ga_s2bm_ard_3-2-1_51JUM_2020-03-01_final
2020-03-17 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2020-03-17_final
2020-03-20 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2020-03-20_final
2020-05-29 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2020-05-29_final
2020-06-12 11:45:31	ga_s2bm_ard_3-2-1_51JTJ_2020-06-12_final
2020-07-15 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2020-07-15_final
2020-07-18 12:03:57	ga_s2bm_ard_3-2-1_50KLA_2020-07-18_final
2020-07-23 11:14:40	ga_s2bm_ard_3-2-1_51JZM_2020-07-23_final
2020-08-11 11:46:23	ga_s2bm_ard_3-2-1_50JPL_2020-08-11_final
2020-10-20 11:42:31	ga_s2bm_ard_3-2-1_51KVA_2020-10-20_final
2020-10-27 11:37:01	ga_s2bm_ard_3-2-1_51HUC_2020-10-27_final
2020-11-06 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2020-11-06_final
2020-11-16 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2020-11-16_final
2020-11-23 11:24:08	ga_s2bm_ard_3-2-1_51KYP_2020-11-23_final
2020-12-09 11:43:45	ga_s2bm_ard_3-2-1_51KTR_2020-12-09_final
2021-01-18 11:45:21	ga_s2bm_ard_3-2-1_50JPQ_2021-01-18_final
2021-01-22 11:24:08	ga_s2bm_ard_3-2-1_51KYP_2021-01-22_final
2021-02-01 11:25:03	ga_s2bm_ard_3-2-1_51JVL_2021-02-01_final
2021-02-20 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2021-02-20_final
2021-03-19 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2021-03-19_final
2021-04-08 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2021-04-08_final
2021-05-05 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2021-05-05_final
2021-06-01 11:25:07	ga_s2bm_ard_3-2-1_51JYK_2021-06-01_final
2021-06-20 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2021-06-20_final
2021-06-21 11:24:09	ga_s2bm_ard_3-2-1_51KYP_2021-06-21_final
2021-06-24 11:34:06	ga_s2bm_ard_3-2-1_51KXP_2021-06-24_final
2021-07-04 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2021-07-04_final
2021-08-10 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2021-08-10_final
2021-10-12 11:35:20	ga_s2bm_ard_3-2-1_51JWJ_2021-10-12_final
2021-11-04 11:44:14	ga_s2bm_ard_3-2-1_51KUP_2021-11-04_final
2021-11-18 11:26:42	ga_s2bm_ard_3-2-1_51HVD_2021-11-18_final
2022-02-18 12:03:49	ga_s2bm_ard_3-2-1_50KLA_2022-02-18_final
2022-04-14 11:16:33	ga_s2bm_ard_3-2-1_51HYD_2022-04-14_final
2022-05-30 11:32:29	ga_s2bm_ard_3-2-1_51KWA_2022-05-30_final
2022-06-12 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2022-06-12_final
2022-08-31 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2022-08-31_final
2022-09-30 11:42:09	ga_s2bm_ard_3-2-1_51KWB_2022-09-30_final.stac-item
2022-09-30 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2022-09-30_final.stac-item
2022-11-26 11:36:46	ga_s2bm_ard_3-2-1_51HTD_2022-11-26_final.stac-item
2022-12-26 11:32:58	ga_s2bm_ard_3-2-1_51KXU_2022-12-26_final.stac-item
2023-01-05 11:32:44	ga_s2bm_ard_3-2-1_51KXV_2023-01-05_final.stac-item
2023-03-06 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2023-03-06_final.stac-item
2023-04-04 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2023-04-04_final.stac-item
2023-04-08 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2023-04-08_final.stac-item
2023-05-25 11:33:07	ga_s2bm_ard_3-2-1_51KYT_2023-05-25_final.stac-item
2023-06-20 11:57:19	ga_s2bm_ard_3-2-1_49HGC_2023-06-20_nrt.stac-item
2023-07-01 11:23:15	ga_s2bm_ard_3-2-1_51KYT_2023-07-01_final.stac-item
2023-07-14 11:36:01	ga_s2bm_ard_3-2-1_51JVG_2023-07-14_final.stac-item
2023-08-02 12:05:17	ga_s2bm_ard_3-2-1_50JKR_2023-08-02_final.stac-item
2023-08-03 11:35:31	ga_s2bm_ard_3-2-1_51JVJ_2023-08-03_final.stac-item
2023-11-04 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2023-11-04_final.stac-item
2023-11-08 11:25:12	ga_s2bm_ard_3-2-1_51JXK_2023-11-08_final.stac-item
2024-01-16 11:57:15	ga_s2bm_ard_3-2-1_50HKH_2024-01-16_nrt.stac-item
2024-01-24 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2024-01-24_final.stac-item
2024-02-19 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2024-02-19_final.stac-item
2024-03-10 11:32:58	ga_s2bm_ard_3-2-1_51KYT_2024-03-10_final.stac-item
2024-03-13 11:43:44	ga_s2bm_ard_3-2-1_50KRA_2024-03-13_final.stac-item
2024-03-13 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2024-03-13_final.stac-item
2024-04-16 11:25:47	ga_s2bm_ard_3-2-1_51JVH_2024-04-16_final.stac-item
2024-04-19 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2024-04-19_final.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

All years