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
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HMG_2017-09-16_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HPK_2017-09-16_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KVB_2017-10-13_final
2017-12-19 11:25:05	ga_s2bm_ard_3-2-1_51HVC_2017-12-19_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_50KKU_2017-12-31_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50KRB_2018-01-14_final
2018-02-02 12:13:14	ga_s2bm_ard_3-2-1_49JGM_2018-02-02_final
2018-02-24 11:11:53	ga_s2bm_ard_3-2-1_51HXD_2018-02-24_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KVA_2018-05-21_final
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51JUN_2018-06-20_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_51KVA_2018-07-13_final
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KXQ_2018-07-20_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51HUD_2018-08-29_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50HLH_2018-09-24_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50KRC_2018-10-04_final
2018-11-17 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2018-11-17_final.stac-item
2018-11-20 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2018-11-20_final
2018-11-23 11:55:38	ga_s2bm_ard_3-2-1_50JLP_2018-11-23_final
2018-12-10 11:42:07	ga_s2bm_ard_3-2-1_51KVB_2018-12-10_final
2019-01-03 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2019-01-03_final
2019-01-27 11:06:37	ga_s2bm_ard_3-2-1_51HYD_2019-01-27_final
2019-03-20 11:46:14	ga_s2bm_ard_3-2-1_50JQL_2019-03-20_final
2019-04-06 11:33:51	ga_s2bm_ard_3-2-1_51KUR_2019-04-06_final
2019-04-26 11:33:49	ga_s2bm_ard_3-2-1_51KWR_2019-04-26_final
2019-06-11 11:53:28	ga_s2bm_ard_3-2-1_50KPC_2019-06-11_final
2019-06-11 11:56:25	ga_s2bm_ard_3-2-1_50JNL_2019-06-11_final
2019-06-27 12:14:07	ga_s2bm_ard_3-2-1_49KGR_2019-06-27_final
2019-06-28 11:42:18	ga_s2bm_ard_3-2-1_51KWB_2019-06-28_final
2019-07-18 11:47:26	ga_s2bm_ard_3-2-1_50HPG_2019-07-18_final.stac-item
2019-08-17 11:42:52	ga_s2bm_ard_3-2-1_51KUV_2019-08-17_final
2019-09-20 11:24:14	ga_s2bm_ard_3-2-1_51KWP_2019-09-20_final
2019-10-23 11:33:49	ga_s2bm_ard_3-2-1_51KUR_2019-10-23_final
2019-10-26 11:45:47	ga_s2bm_ard_3-2-1_50JQN_2019-10-26_final
2019-11-18 11:53:29	ga_s2bm_ard_3-2-1_50KMC_2019-11-18_final
2019-12-09 11:26:12	ga_s2bm_ard_3-2-1_51JUF_2019-12-09_final
2020-02-10 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2020-02-10_final
2020-02-13 11:43:21	ga_s2bm_ard_3-2-1_51KUS_2020-02-13_final
2020-03-05 11:16:56	ga_s2bm_ard_3-2-1_51HWC_2020-03-05_final.stac-item
2020-03-18 11:25:26	ga_s2bm_ard_3-2-1_51JWJ_2020-03-18_final
2020-04-20 11:32:24	ga_s2bm_ard_3-2-1_51KWA_2020-04-20_final
2020-04-27 11:25:16	ga_s2bm_ard_3-2-1_51JYJ_2020-04-27_final
2020-07-18 12:04:29	ga_s2bm_ard_3-2-1_50KKU_2020-07-18_final
2020-08-11 11:43:07	ga_s2bm_ard_3-2-1_51KTU_2020-08-11_final
2020-08-15 11:26:42	ga_s2bm_ard_3-2-1_51HXD_2020-08-15_final
2020-10-30 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2020-10-30_final
2020-11-16 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2020-11-16_final
2021-01-28 11:45:14	ga_s2bm_ard_3-2-1_51JTK_2021-01-28_final
2021-02-11 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2021-02-11_final
2021-02-24 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2021-02-24_final
2021-03-06 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2021-03-06_final
2021-03-13 11:25:41	ga_s2bm_ard_3-2-1_51JWH_2021-03-13_final
2021-03-16 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2021-03-16_final
2021-04-24 12:04:34	ga_s2bm_ard_3-2-1_50JLT_2021-04-24_final
2021-06-04 11:36:11	ga_s2bm_ard_3-2-1_51JVF_2021-06-04_final
2021-06-17 11:46:27	ga_s2bm_ard_3-2-1_50JML_2021-06-17_final
2021-08-03 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2021-08-03_final
2021-08-15 12:15:02	ga_s2bm_ard_3-2-1_49JGM_2021-08-15_final
2021-08-16 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2021-08-16_final
2021-08-23 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2021-08-23_final
2021-09-05 11:42:24	ga_s2bm_ard_3-2-1_51KVA_2021-09-05_final
2021-09-15 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2021-09-15_final
2021-09-22 11:34:08	ga_s2bm_ard_3-2-1_51KWP_2021-09-22_final
2021-10-02 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2021-10-02_final
2021-10-11 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2021-10-11_final
2021-11-07 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2021-11-07_final
2021-12-07 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2021-12-07_final
2021-12-11 11:33:36	ga_s2bm_ard_3-2-1_51KWR_2021-12-11_final
2022-02-09 11:36:52	ga_s2bm_ard_3-2-1_51HUC_2022-02-09_final
2022-02-22 11:42:08	ga_s2bm_ard_3-2-1_51KVB_2022-02-22_final
2022-05-10 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2022-05-10_final
2022-05-20 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2022-05-20_final
2022-06-28 12:04:18	ga_s2bm_ard_3-2-1_50KKV_2022-06-28_final
2022-07-03 11:16:13	ga_s2bm_ard_3-2-1_51JYF_2022-07-03_final
2022-07-06 11:24:20	ga_s2bm_ard_3-2-1_51KWP_2022-07-06_final
2022-07-22 11:46:28	ga_s2bm_ard_3-2-1_50JNL_2022-07-22_final
2022-07-29 11:33:57	ga_s2bm_ard_3-2-1_51KXQ_2022-07-29_final
2022-08-01 11:43:48	ga_s2bm_ard_3-2-1_51KUR_2022-08-01_final
2022-08-10 12:13:58	ga_s2bm_ard_3-2-1_50KKA_2022-08-10_final
2022-08-24 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2022-08-24_final
2022-09-23 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2022-09-23_final.stac-item
2022-09-27 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2022-09-27_final.stac-item
2022-10-10 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2022-10-10_final.stac-item
2022-12-15 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2022-12-15_final.stac-item
2022-12-29 11:44:44	ga_s2bm_ard_3-2-1_51JTM_2022-12-29_final.stac-item
2023-01-21 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2023-01-21_final.stac-item
2023-03-28 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-03-28_final.stac-item
2023-04-17 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2023-04-17_final.stac-item
2023-05-08 11:43:24	ga_s2bm_ard_3-2-1_50KQC_2023-05-08_final.stac-item
2023-08-19 11:53:26	ga_s2bm_ard_3-2-1_50KPC_2023-08-19_final.stac-item
2023-10-11 12:04:00	ga_s2bm_ard_3-2-1_50KKA_2023-10-11_final.stac-item
2023-10-12 11:35:03	ga_s2bm_ard_3-2-1_51JUL_2023-10-12_final.stac-item
2023-10-21 12:03:43	ga_s2bm_ard_3-2-1_50KLB_2023-10-21_final.stac-item
2023-11-20 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2023-11-20_final.stac-item
2023-11-24 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2023-11-24_final.stac-item
2023-12-18 11:24:02	ga_s2bm_ard_3-2-1_51KWQ_2023-12-18_final.stac-item
2024-01-03 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2024-01-03_final.stac-item
2024-01-03 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2024-01-03_final.stac-item
2024-01-26 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2024-01-26_final.stac-item
2024-03-19 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2024-03-19_final.stac-item
2024-04-28 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2024-04-28_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