Search ga_s2bm_ard_3 whole collection

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

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

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

ID of a dataset type:

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

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

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

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

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

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

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

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

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

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

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

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

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

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

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

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

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

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JKN_2017-07-31_final.stac-item
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50HMK_2017-08-20_final.stac-item
2017-09-17 11:11:51	ga_s2bm_ard_3-2-1_51HYD_2017-09-17_final.stac-item
2017-10-20 11:21:45	ga_s2bm_ard_3-2-1_51KXR_2017-10-20_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50JRT_2017-12-05_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49JGK_2017-12-11_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KVV_2017-12-15_final.stac-item
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51KXP_2017-12-29_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JVL_2018-01-31_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HMK_2018-03-15_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KWU_2018-05-11_final.stac-item
2018-05-15 11:13:12	ga_s2bm_ard_3-2-1_51HXD_2018-05-15_final.stac-item
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_51KVU_2018-05-24_final.stac-item
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2018-07-27_final.stac-item
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51KYT_2018-07-30_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51KVA_2018-08-29_final.stac-item
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HNH_2018-10-11_final.stac-item
2018-12-17 11:35:54	ga_s2bm_ard_3-2-1_51JUG_2018-12-17_final.stac-item
2019-01-22 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2019-01-22_final.stac-item
2019-02-05 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2019-02-05_final.stac-item
2019-06-08 11:45:15	ga_s2bm_ard_3-2-1_50JPR_2019-06-08_final.stac-item
2019-06-15 11:36:27	ga_s2bm_ard_3-2-1_50JQL_2019-06-15_final.stac-item
2019-07-12 11:24:46	ga_s2bm_ard_3-2-1_51JYM_2019-07-12_final.stac-item
2019-09-02 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2019-09-02_final.stac-item
2019-10-02 12:06:10	ga_s2bm_ard_3-2-1_50JKM_2019-10-02_final.stac-item
2019-10-16 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2019-10-16_final.stac-item
2019-11-22 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2019-11-22_final.stac-item
2019-12-16 11:15:34	ga_s2bm_ard_3-2-1_51JYH_2019-12-16_final.stac-item
2019-12-22 11:36:41	ga_s2bm_ard_3-2-1_50HQJ_2019-12-22_final.stac-item
2020-01-01 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2020-01-01_final.stac-item
2020-01-08 11:24:32	ga_s2bm_ard_3-2-1_51JYM_2020-01-08_final.stac-item
2020-01-18 11:24:23	ga_s2bm_ard_3-2-1_51JWN_2020-01-18_final.stac-item
2020-01-25 11:13:47	ga_s2bm_ard_3-2-1_51KZQ_2020-01-25_final.stac-item
2020-02-17 11:24:36	ga_s2bm_ard_3-2-1_51JXM_2020-02-17_final.stac-item
2020-02-17 11:25:16	ga_s2bm_ard_3-2-1_51JYJ_2020-02-17_final.stac-item
2020-03-07 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2020-03-07_final.stac-item
2020-03-27 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2020-03-27_final.stac-item
2020-08-22 11:15:46	ga_s2bm_ard_3-2-1_51JXH_2020-08-22_final.stac-item
2020-09-07 11:33:51	ga_s2bm_ard_3-2-1_51KUR_2020-09-07_final.stac-item
2020-11-06 11:33:25	ga_s2bm_ard_3-2-1_51KXS_2020-11-06_final.stac-item
2020-11-06 11:36:07	ga_s2bm_ard_3-2-1_50JQM_2020-11-06_final.stac-item
2020-11-06 11:36:16	ga_s2bm_ard_3-2-1_51JUF_2020-11-06_final.stac-item
2021-01-05 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2021-01-05_final.stac-item
2021-01-08 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2021-01-08_final.stac-item
2021-03-03 11:26:10	ga_s2bm_ard_3-2-1_51JWF_2021-03-03_final.stac-item
2021-05-05 11:34:22	ga_s2bm_ard_3-2-1_51JWN_2021-05-05_final.stac-item
2021-05-24 12:06:15	ga_s2bm_ard_3-2-1_50JKM_2021-05-24_final.stac-item
2021-06-10 11:56:05	ga_s2bm_ard_3-2-1_50JNM_2021-06-10_final.stac-item
2021-06-20 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2021-06-20_final.stac-item
2021-07-14 11:33:54	ga_s2bm_ard_3-2-1_51KXQ_2021-07-14_final.stac-item
2021-07-17 11:45:45	ga_s2bm_ard_3-2-1_51JTH_2021-07-17_final.stac-item
2021-08-03 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2021-08-03_final.stac-item
2021-08-09 11:54:38	ga_s2bm_ard_3-2-1_50JNT_2021-08-09_final.stac-item
2021-09-02 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2021-09-02_final.stac-item
2021-09-02 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2021-09-02_final.stac-item
2021-09-12 11:36:25	ga_s2bm_ard_3-2-1_51HUE_2021-09-12_final.stac-item
2021-10-09 11:23:50	ga_s2bm_ard_3-2-1_51KZQ_2021-10-09_final.stac-item
2021-10-16 11:14:39	ga_s2bm_ard_3-2-1_51JZM_2021-10-16_final.stac-item
2021-12-04 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2021-12-04_final.stac-item
2022-01-11 11:06:33	ga_s2bm_ard_3-2-1_51HYD_2022-01-11_final.stac-item
2022-01-17 11:22:51	ga_s2bm_ard_3-2-1_51KYU_2022-01-17_final.stac-item
2022-01-30 11:32:31	ga_s2bm_ard_3-2-1_51KYV_2022-01-30_final.stac-item
2022-02-12 11:45:40	ga_s2bm_ard_3-2-1_50JQN_2022-02-12_final.stac-item
2022-03-08 11:25:40	ga_s2bm_ard_3-2-1_51JWH_2022-03-08_final.stac-item
2022-03-24 11:42:25	ga_s2bm_ard_3-2-1_51KVA_2022-03-24_final.stac-item
2022-04-07 11:26:33	ga_s2bm_ard_3-2-1_51HXD_2022-04-07_final.stac-item
2022-04-09 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2022-04-09_final.stac-item
2022-04-13 11:46:34	ga_s2bm_ard_3-2-1_50HNK_2022-04-13_final.stac-item
2022-05-13 11:44:58	ga_s2bm_ard_3-2-1_51JTL_2022-05-13_final.stac-item
2022-05-17 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2022-05-17_final.stac-item
2022-05-17 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2022-05-17_final.stac-item
2022-05-22 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2022-05-22_final.stac-item
2022-06-16 11:24:22	ga_s2bm_ard_3-2-1_51JZN_2022-06-16_final.stac-item
2022-07-23 11:14:34	ga_s2bm_ard_3-2-1_51JYN_2022-07-23_final.stac-item
2022-07-29 11:34:51	ga_s2bm_ard_3-2-1_51JUM_2022-07-29_final.stac-item
2022-09-20 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2022-09-20_final.stac-item
2022-10-04 11:23:48	ga_s2bm_ard_3-2-1_51KZQ_2022-10-04_final.stac-item
2022-10-17 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2022-10-17_final.stac-item
2022-10-24 11:26:35	ga_s2bm_ard_3-2-1_51HXD_2022-10-24_final.stac-item
2022-10-24 11:26:43	ga_s2bm_ard_3-2-1_51HVD_2022-10-24_final.stac-item
2022-11-15 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2022-11-15_final.stac-item
2022-11-20 11:16:30	ga_s2bm_ard_3-2-1_51HWE_2022-11-20_final.stac-item
2023-01-02 11:23:17	ga_s2bm_ard_3-2-1_51KYT_2023-01-02_final.stac-item
2023-01-02 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2023-01-02_final.stac-item
2023-02-24 11:34:43	ga_s2bm_ard_3-2-1_51JVM_2023-02-24_final
2023-03-29 11:44:05	ga_s2bm_ard_3-2-1_50KRV_2023-03-29_final
2023-04-09 11:16:43	ga_s2bm_ard_3-2-1_51HXD_2023-04-09_final
2023-06-20 11:54:27	ga_s2bm_ard_3-2-1_50KNU_2023-06-20_final
2023-06-21 11:26:33	ga_s2bm_ard_3-2-1_51HVE_2023-06-21_final
2023-08-23 11:33:02	ga_s2bm_ard_3-2-1_51KWU_2023-08-23_final
2023-09-12 11:33:05	ga_s2bm_ard_3-2-1_51KYT_2023-09-12_final
2023-09-12 11:36:50	ga_s2bm_ard_3-2-1_51HTD_2023-09-12_final
2023-09-15 11:42:16	ga_s2bm_ard_3-2-1_51KVB_2023-09-15_final
2024-01-27 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2024-01-27_final
2024-02-18 12:03:24	ga_s2bm_ard_3-2-1_50KMC_2024-02-18_final
2024-03-06 11:53:31	ga_s2bm_ard_3-2-1_50KNB_2024-03-06_final
2024-03-23 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2024-03-23_final
2024-03-24 12:51:00	ga_s2bm_ard_3-2-1_48LWP_2024-03-24_final
2024-04-25 11:55:08	ga_s2bm_ard_3-2-1_50JMR_2024-04-25_final
2024-05-29 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2024-05-29_nrt

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years