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
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KVQ_2017-12-12_final.stac-item
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51KZB_2018-02-27_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JHN_2018-03-01_final.stac-item
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51JWM_2018-04-01_final.stac-item
2018-05-14 11:37:58	ga_s2bm_ard_3-2-1_51KUU_2018-05-14_final.stac-item
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_51HUD_2018-06-20_final.stac-item
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HQJ_2018-07-03_final.stac-item
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50JPL_2018-07-13_final.stac-item
2018-07-27 11:17:54	ga_s2bm_ard_3-2-1_51KZA_2018-07-27_final.stac-item
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JNM_2018-08-25_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50KLV_2018-09-07_final.stac-item
2018-09-25 11:17:51	ga_s2bm_ard_3-2-1_51KYU_2018-09-25_final.stac-item
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51KZA_2018-10-05_final.stac-item
2018-11-07 11:36:58	ga_s2bm_ard_3-2-1_51HTC_2018-11-07_final.stac-item
2018-12-10 11:45:40	ga_s2bm_ard_3-2-1_50JQN_2018-12-10_final.stac-item
2019-01-03 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2019-01-03_final.stac-item
2019-02-05 11:36:20	ga_s2bm_ard_3-2-1_50JQL_2019-02-05_final.stac-item
2019-03-13 11:54:45	ga_s2bm_ard_3-2-1_50JPS_2019-03-13_final.stac-item
2019-03-14 11:23:54	ga_s2bm_ard_3-2-1_51KXQ_2019-03-14_final.stac-item
2019-03-17 11:33:46	ga_s2bm_ard_3-2-1_51KUR_2019-03-17_final.stac-item
2019-03-27 11:35:49	ga_s2bm_ard_3-2-1_51JTH_2019-03-27_final.stac-item
2019-04-02 11:55:30	ga_s2bm_ard_3-2-1_50JLQ_2019-04-02_final.stac-item
2019-04-06 11:34:19	ga_s2bm_ard_3-2-1_51JXN_2019-04-06_final.stac-item
2019-04-09 11:44:35	ga_s2bm_ard_3-2-1_50JRT_2019-04-09_final.stac-item
2019-04-19 11:47:12	ga_s2bm_ard_3-2-1_50HNH_2019-04-19_final.stac-item
2019-06-08 11:42:50	ga_s2bm_ard_3-2-1_51KVV_2019-06-08_final.stac-item
2019-07-04 12:04:07	ga_s2bm_ard_3-2-1_50KKA_2019-07-04_final.stac-item
2019-08-30 11:55:06	ga_s2bm_ard_3-2-1_50JPR_2019-08-30_final.stac-item
2019-09-05 12:13:57	ga_s2bm_ard_3-2-1_50KKA_2019-09-05_final.stac-item
2019-09-23 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2019-09-23_final.stac-item
2019-12-12 11:34:19	ga_s2bm_ard_3-2-1_51JWN_2019-12-12_final.stac-item
2019-12-22 11:33:55	ga_s2bm_ard_3-2-1_51KVQ_2019-12-22_final.stac-item
2019-12-22 11:34:27	ga_s2bm_ard_3-2-1_51JUN_2019-12-22_final.stac-item
2019-12-22 11:36:42	ga_s2bm_ard_3-2-1_50HPJ_2019-12-22_final.stac-item
2020-02-23 11:42:24	ga_s2bm_ard_3-2-1_51KVA_2020-02-23_final.stac-item
2020-03-08 11:22:50	ga_s2bm_ard_3-2-1_51KZU_2020-03-08_final.stac-item
2020-03-11 11:33:00	ga_s2bm_ard_3-2-1_51KYT_2020-03-11_final.stac-item
2020-03-24 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2020-03-24_final.stac-item
2020-04-20 11:36:52	ga_s2bm_ard_3-2-1_51HUC_2020-04-20_final.stac-item
2020-04-27 11:25:55	ga_s2bm_ard_3-2-1_51JVG_2020-04-27_final.stac-item
2020-07-12 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2020-07-12_final.stac-item
2020-08-05 11:25:19	ga_s2bm_ard_3-2-1_51JVK_2020-08-05_final.stac-item
2020-08-21 11:42:17	ga_s2bm_ard_3-2-1_51KVB_2020-08-21_final.stac-item
2020-08-27 12:03:30	ga_s2bm_ard_3-2-1_50KLC_2020-08-27_final.stac-item
2020-08-27 12:03:48	ga_s2bm_ard_3-2-1_50KKB_2020-08-27_final.stac-item
2020-09-14 11:25:30	ga_s2bm_ard_3-2-1_51JWJ_2020-09-14_final.stac-item
2020-12-09 11:44:43	ga_s2bm_ard_3-2-1_51JTM_2020-12-09_final.stac-item
2021-01-22 11:22:41	ga_s2bm_ard_3-2-1_51KYV_2021-01-22_final.stac-item
2021-01-31 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2021-01-31_final.stac-item
2021-02-14 11:36:25	ga_s2bm_ard_3-2-1_50JPL_2021-02-14_final.stac-item
2021-02-24 11:32:42	ga_s2bm_ard_3-2-1_51KWV_2021-02-24_final.stac-item
2021-02-24 11:33:58	ga_s2bm_ard_3-2-1_51KVQ_2021-02-24_final.stac-item
2021-03-09 11:44:52	ga_s2bm_ard_3-2-1_50JPS_2021-03-09_final.stac-item
2021-03-26 11:32:42	ga_s2bm_ard_3-2-1_51KWV_2021-03-26_final.stac-item
2021-04-14 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2021-04-14_final.stac-item
2021-05-08 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2021-05-08_final.stac-item
2021-05-11 11:53:56	ga_s2bm_ard_3-2-1_50KQV_2021-05-11_final.stac-item
2021-06-18 11:14:38	ga_s2bm_ard_3-2-1_51JZM_2021-06-18_final.stac-item
2021-06-24 11:37:01	ga_s2bm_ard_3-2-1_51HTC_2021-06-24_final.stac-item
2021-07-17 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2021-07-17_final.stac-item
2021-07-24 11:34:34	ga_s2bm_ard_3-2-1_51JUN_2021-07-24_final.stac-item
2021-10-02 11:36:31	ga_s2bm_ard_3-2-1_51HTE_2021-10-02_final.stac-item
2021-10-19 11:25:58	ga_s2bm_ard_3-2-1_51JWG_2021-10-19_final.stac-item
2021-10-25 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2021-10-25_final.stac-item
2021-11-13 12:13:39	ga_s2bm_ard_3-2-1_50KKB_2021-11-13_final.stac-item
2021-11-14 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2021-11-14_final.stac-item
2021-12-31 11:32:10	ga_s2bm_ard_3-2-1_51KWB_2021-12-31_final.stac-item
2022-01-17 11:24:59	ga_s2bm_ard_3-2-1_51JVL_2022-01-17_final.stac-item
2022-01-24 11:14:18	ga_s2bm_ard_3-2-1_51JZN_2022-01-24_final.stac-item
2022-01-27 11:25:00	ga_s2bm_ard_3-2-1_51JYK_2022-01-27_final.stac-item
2022-01-29 12:05:49	ga_s2bm_ard_3-2-1_50JKN_2022-01-29_final.stac-item
2022-03-20 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2022-03-20_final.stac-item
2022-03-21 11:32:17	ga_s2bm_ard_3-2-1_51KVB_2022-03-21_final.stac-item
2022-04-03 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2022-04-03_final.stac-item
2022-04-09 12:03:20	ga_s2bm_ard_3-2-1_50KMC_2022-04-09_final.stac-item
2022-05-07 11:25:53	ga_s2bm_ard_3-2-1_51JWG_2022-05-07_final.stac-item
2022-06-22 11:43:09	ga_s2bm_ard_3-2-1_50KRD_2022-06-22_final.stac-item
2022-08-15 11:24:14	ga_s2bm_ard_3-2-1_51KXP_2022-08-15_final.stac-item
2022-08-25 11:22:52	ga_s2bm_ard_3-2-1_51KZU_2022-08-25_final.stac-item
2022-10-17 11:36:31	ga_s2bm_ard_3-2-1_51HTE_2022-10-17_final.stac-item
2022-10-30 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2022-10-30_final.stac-item
2022-10-30 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2022-10-30_final.stac-item
2022-12-06 11:36:31	ga_s2bm_ard_3-2-1_50HQK_2022-12-06_final.stac-item
2022-12-23 11:24:18	ga_s2bm_ard_3-2-1_51JZN_2022-12-23_final.stac-item
2023-02-04 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2023-02-04_final.stac-item
2023-04-04 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-04-04_final
2023-04-05 11:32:35	ga_s2bm_ard_3-2-1_51KVA_2023-04-05_final
2023-04-25 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2023-04-25_final
2023-05-29 11:14:13	ga_s2bm_ard_3-2-1_51KZP_2023-05-29_final
2023-06-24 11:36:42	ga_s2bm_ard_3-2-1_50HPK_2023-06-24_final
2023-07-14 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2023-07-14_final
2023-07-31 11:23:59	ga_s2bm_ard_3-2-1_51KYQ_2023-07-31_final
2023-08-29 11:52:24	ga_s2bm_ard_3-2-1_50KQG_2023-08-29_final
2023-09-26 11:16:11	ga_s2bm_ard_3-2-1_51JYF_2023-09-26_final
2023-10-09 11:22:42	ga_s2bm_ard_3-2-1_51KYV_2023-10-09_final
2023-10-12 11:35:03	ga_s2bm_ard_3-2-1_51JUL_2023-10-12_final
2023-11-20 12:03:38	ga_s2bm_ard_3-2-1_50KLB_2023-11-20_final
2024-02-12 11:43:59	ga_s2bm_ard_3-2-1_51KUQ_2024-02-12_final
2024-02-22 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2024-02-22_final
2024-02-29 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2024-02-29_final

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