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
2017-10-03 11:35:48	ga_s2bm_ard_3-2-1_51JVF_2017-10-03_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HMG_2017-11-15_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KVA_2017-12-05_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KUS_2018-01-01_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KWB_2018-02-20_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KYV_2018-02-20_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50HLH_2018-04-07_final
2018-04-18 11:23:34	ga_s2bm_ard_3-2-1_51HUD_2018-04-18_final
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_50KRC_2018-05-24_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50JPL_2018-05-24_final
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51KZU_2018-05-28_final
2018-06-13 11:37:58	ga_s2bm_ard_3-2-1_51KVU_2018-06-13_final
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51KXR_2018-06-27_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51KWP_2018-07-07_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50HQJ_2018-07-13_final
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KVV_2018-07-20_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51KVV_2018-07-30_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_51KTT_2018-08-12_final
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_50KLU_2018-08-28_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_51KTT_2018-09-11_final
2018-09-15 11:21:46	ga_s2bm_ard_3-2-1_51KZU_2018-09-15_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51KUQ_2018-09-21_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51KXQ_2018-10-15_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KWV_2018-10-28_final
2018-11-10 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2018-11-10_final
2018-11-10 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2018-11-10_final
2018-11-10 11:43:01	ga_s2bm_ard_3-2-1_50KRD_2018-11-10_final
2018-12-13 11:53:47	ga_s2bm_ard_3-2-1_50KNA_2018-12-13_final
2019-01-16 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2019-01-16_final
2019-02-22 11:25:56	ga_s2bm_ard_3-2-1_51JWG_2019-02-22_final
2019-04-12 11:55:17	ga_s2bm_ard_3-2-1_50JLR_2019-04-12_final
2019-04-26 11:34:10	ga_s2bm_ard_3-2-1_51KUQ_2019-04-26_final
2019-06-11 11:56:00	ga_s2bm_ard_3-2-1_50JMN_2019-06-11_final
2019-08-10 11:56:03	ga_s2bm_ard_3-2-1_50JLN_2019-08-10_final
2019-08-31 11:25:17	ga_s2bm_ard_3-2-1_51JWK_2019-08-31_final
2019-09-25 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2019-09-25_final
2019-11-22 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2019-11-22_final
2019-12-01 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2019-12-01_final
2019-12-09 11:24:17	ga_s2bm_ard_3-2-1_51JYN_2019-12-09_final
2019-12-16 11:16:35	ga_s2bm_ard_3-2-1_51HXD_2019-12-16_final
2020-02-17 11:26:18	ga_s2bm_ard_3-2-1_51HXE_2020-02-17_final
2020-04-16 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2020-04-16_final
2020-04-16 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2020-04-16_final.stac-item
2020-04-20 11:32:35	ga_s2bm_ard_3-2-1_51KWV_2020-04-20_final
2020-04-30 11:32:40	ga_s2bm_ard_3-2-1_51KYU_2020-04-30_final
2020-05-03 11:47:14	ga_s2bm_ard_3-2-1_50HPG_2020-05-03_final.stac-item
2020-05-13 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2020-05-13_final
2020-06-28 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-06-28_final
2020-07-09 11:32:31	ga_s2bm_ard_3-2-1_51KWA_2020-07-09_final
2020-09-20 11:43:38	ga_s2bm_ard_3-2-1_51KVR_2020-09-20_final
2020-09-20 11:44:00	ga_s2bm_ard_3-2-1_51KUQ_2020-09-20_final
2020-10-07 11:32:44	ga_s2bm_ard_3-2-1_51KXV_2020-10-07_final
2020-10-14 11:25:42	ga_s2bm_ard_3-2-1_51JXH_2020-10-14_final
2020-10-30 11:44:16	ga_s2bm_ard_3-2-1_51KUP_2020-10-30_final
2020-11-09 11:43:05	ga_s2bm_ard_3-2-1_51KTU_2020-11-09_final
2020-11-23 11:22:42	ga_s2bm_ard_3-2-1_51KYV_2020-11-23_final
2021-01-05 11:33:01	ga_s2bm_ard_3-2-1_51KYT_2021-01-05_final
2021-02-14 11:34:23	ga_s2bm_ard_3-2-1_51JWN_2021-02-14_final
2021-03-06 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2021-03-06_final
2021-05-04 12:03:30	ga_s2bm_ard_3-2-1_50KNB_2021-05-04_final
2021-05-28 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2021-05-28_final
2021-06-01 11:24:59	ga_s2bm_ard_3-2-1_51JWL_2021-06-01_final
2021-06-04 11:36:06	ga_s2bm_ard_3-2-1_50JQM_2021-06-04_final
2021-06-10 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2021-06-10_final
2021-06-21 11:22:27	ga_s2bm_ard_3-2-1_51KYA_2021-06-21_final
2021-07-11 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2021-07-11_final
2021-08-30 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2021-08-30_final
2021-11-18 11:25:00	ga_s2bm_ard_3-2-1_51JVL_2021-11-18_final
2021-11-23 12:15:16	ga_s2bm_ard_3-2-1_49JGK_2021-11-23_final
2022-01-09 12:04:24	ga_s2bm_ard_3-2-1_50KKU_2022-01-09_final
2022-01-10 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2022-01-10_final
2022-01-10 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2022-01-10_final
2022-02-19 11:32:37	ga_s2bm_ard_3-2-1_51KWV_2022-02-19_final
2022-03-04 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2022-03-04_final
2022-04-07 11:25:25	ga_s2bm_ard_3-2-1_51JWJ_2022-04-07_final
2022-04-09 12:03:17	ga_s2bm_ard_3-2-1_50KNC_2022-04-09_final
2022-05-16 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2022-05-16_final
2022-07-12 11:42:50	ga_s2bm_ard_3-2-1_51KUV_2022-07-12_final
2022-07-28 12:06:09	ga_s2bm_ard_3-2-1_50JLM_2022-07-28_final
2022-08-05 11:26:59	ga_s2bm_ard_3-2-1_51HWC_2022-08-05_final.stac-item
2022-09-03 11:54:35	ga_s2bm_ard_3-2-1_50JPT_2022-09-03_final.stac-item
2022-10-07 11:32:37	ga_s2bm_ard_3-2-1_51KXV_2022-10-07_final.stac-item
2022-10-11 11:14:36	ga_s2bm_ard_3-2-1_51JZM_2022-10-11_final.stac-item
2022-11-02 11:54:06	ga_s2bm_ard_3-2-1_50KNV_2022-11-02_final.stac-item
2022-12-16 11:34:41	ga_s2bm_ard_3-2-1_51JVM_2022-12-16_final.stac-item
2023-02-14 11:32:49	ga_s2bm_ard_3-2-1_51KYU_2023-02-14_final.stac-item
2023-02-20 11:55:38	ga_s2bm_ard_3-2-1_50JMP_2023-02-20_final.stac-item
2023-03-06 11:34:28	ga_s2bm_ard_3-2-1_51JWN_2023-03-06_final.stac-item
2023-03-16 11:34:18	ga_s2bm_ard_3-2-1_51KVP_2023-03-16_final.stac-item
2023-04-14 12:04:27	ga_s2bm_ard_3-2-1_50KKU_2023-04-14_final.stac-item
2023-04-15 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2023-04-15_final.stac-item
2023-05-24 12:04:00	ga_s2bm_ard_3-2-1_50KLA_2023-05-24_final.stac-item
2023-05-28 11:42:18	ga_s2bm_ard_3-2-1_51KVB_2023-05-28_final.stac-item
2023-07-03 12:04:48	ga_s2bm_ard_3-2-1_50JKT_2023-07-03_final.stac-item
2023-07-21 11:25:26	ga_s2bm_ard_3-2-1_51JYJ_2023-07-21_final.stac-item
2023-09-21 12:04:34	ga_s2bm_ard_3-2-1_49KHP_2023-09-21_final.stac-item
2023-11-01 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2023-11-01_final.stac-item
2024-01-16 11:53:49	ga_s2bm_ard_3-2-1_50KPA_2024-01-16_final.stac-item
2024-03-17 11:25:59	ga_s2bm_ard_3-2-1_51JVG_2024-03-17_final.stac-item
2024-04-25 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2024-04-25_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