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
2017-07-17 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2017-07-17_final.stac-item
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51JVJ_2017-10-13_final.stac-item
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49JGM_2017-11-04_final.stac-item
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51HTC_2017-11-12_final.stac-item
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50JNL_2017-11-28_final.stac-item
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50JRT_2017-12-25_final.stac-item
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_52LBK_2018-01-08_final.stac-item
2018-01-22 10:57:08	ga_s2bm_ard_3-2-1_52LGJ_2018-01-22_final.stac-item
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51LZE_2018-01-28_final.stac-item
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51HVE_2018-01-28_final.stac-item
2018-02-11 10:57:09	ga_s2bm_ard_3-2-1_52LHL_2018-02-11_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KXR_2018-02-20_final.stac-item
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JNM_2018-03-25_final.stac-item
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52JEM_2018-05-02_final.stac-item
2018-08-30 11:00:32	ga_s2bm_ard_3-2-1_52JCM_2018-08-30_final.stac-item
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_50HQH_2018-09-18_final.stac-item
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JGJ_2018-10-07_final.stac-item
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HPJ_2018-10-21_final.stac-item
2018-11-10 11:44:43	ga_s2bm_ard_3-2-1_51JTM_2018-11-10_final.stac-item
2019-01-13 11:22:59	ga_s2bm_ard_3-2-1_51KXU_2019-01-13_final.stac-item
2019-01-25 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2019-01-25_final.stac-item
2019-03-01 11:16:35	ga_s2bm_ard_3-2-1_51HYD_2019-03-01_final.stac-item
2019-05-07 11:04:02	ga_s2bm_ard_3-2-1_52KDV_2019-05-07_final.stac-item
2019-06-18 11:43:43	ga_s2bm_ard_3-2-1_51KVR_2019-06-18_final.stac-item
2019-07-25 11:36:51	ga_s2bm_ard_3-2-1_51HUD_2019-07-25_final.stac-item
2019-07-26 11:06:08	ga_s2bm_ard_3-2-1_52JEL_2019-07-26_final.stac-item
2019-08-18 11:16:46	ga_s2bm_ard_3-2-1_51HXD_2019-08-18_final.stac-item
2019-08-25 11:06:29	ga_s2bm_ard_3-2-1_52HBK_2019-08-25_final.stac-item
2019-08-29 10:46:28	ga_s2bm_ard_3-2-1_53HLD_2019-08-29_final.stac-item
2019-11-07 10:46:20	ga_s2bm_ard_3-2-1_53HMD_2019-11-07_final.stac-item
2020-01-02 11:05:03	ga_s2bm_ard_3-2-1_52JCQ_2020-01-02_final.stac-item
2020-02-01 11:02:36	ga_s2bm_ard_3-2-1_52KFD_2020-02-01_final.stac-item
2020-03-02 11:02:27	ga_s2bm_ard_3-2-1_52KGE_2020-03-02_final.stac-item
2020-04-07 11:23:03	ga_s2bm_ard_3-2-1_52KBC_2020-04-07_final.stac-item
2020-06-01 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2020-06-01_final.stac-item
2020-06-03 11:13:42	ga_s2bm_ard_3-2-1_51KZR_2020-06-03_final.stac-item
2020-06-13 11:14:26	ga_s2bm_ard_3-2-1_51JZN_2020-06-13_final.stac-item
2020-10-22 10:46:24	ga_s2bm_ard_3-2-1_53HMD_2020-10-22_final.stac-item
2020-11-30 11:15:07	ga_s2bm_ard_3-2-1_52JBQ_2020-11-30_final.stac-item
2020-12-07 11:03:18	ga_s2bm_ard_3-2-1_52KEB_2020-12-07_final.stac-item
2020-12-09 11:43:31	ga_s2bm_ard_3-2-1_50KRB_2020-12-09_final.stac-item
2020-12-20 11:11:44	ga_s2bm_ard_3-2-1_52LEH_2020-12-20_final.stac-item
2021-01-22 11:23:57	ga_s2bm_ard_3-2-1_51KXQ_2021-01-22_final.stac-item
2021-01-29 11:11:01	ga_s2bm_ard_3-2-1_52LFL_2021-01-29_final.stac-item
2021-02-01 11:25:16	ga_s2bm_ard_3-2-1_51JVK_2021-02-01_final.stac-item
2021-02-11 11:24:50	ga_s2bm_ard_3-2-1_51JYL_2021-02-11_final.stac-item
2021-03-20 11:13:18	ga_s2bm_ard_3-2-1_52KDB_2021-03-20_final.stac-item
2021-03-20 11:14:37	ga_s2bm_ard_3-2-1_52JBS_2021-03-20_final.stac-item
2021-05-04 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2021-05-04_final.stac-item
2021-06-04 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2021-06-04_final.stac-item
2021-06-24 11:35:56	ga_s2bm_ard_3-2-1_51JVG_2021-06-24_final.stac-item
2021-07-17 11:45:02	ga_s2bm_ard_3-2-1_51JTL_2021-07-17_final.stac-item
2021-09-04 12:13:33	ga_s2bm_ard_3-2-1_50KKB_2021-09-04_final.stac-item
2021-10-25 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2021-10-25_final.stac-item
2021-11-08 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2021-11-08_final.stac-item
2021-11-15 11:16:39	ga_s2bm_ard_3-2-1_51HXD_2021-11-15_final.stac-item
2021-11-18 11:24:53	ga_s2bm_ard_3-2-1_51JXL_2021-11-18_final.stac-item
2021-11-21 11:32:59	ga_s2bm_ard_3-2-1_51KYT_2021-11-21_final.stac-item
2021-11-25 11:15:29	ga_s2bm_ard_3-2-1_52JCN_2021-11-25_final.stac-item
2022-01-05 10:46:20	ga_s2bm_ard_3-2-1_53HLD_2022-01-05_final.stac-item
2022-01-17 11:21:21	ga_s2bm_ard_3-2-1_51LZE_2022-01-17_final.stac-item
2022-01-18 10:55:41	ga_s2bm_ard_3-2-1_52JFM_2022-01-18_final.stac-item
2022-02-02 11:42:36	ga_s2bm_ard_3-2-1_51KVV_2022-02-02_final.stac-item
2022-02-03 11:12:41	ga_s2bm_ard_3-2-1_52KED_2022-02-03_final.stac-item
2022-02-12 11:44:54	ga_s2bm_ard_3-2-1_51JTL_2022-02-12_final.stac-item
2022-02-13 11:15:16	ga_s2bm_ard_3-2-1_52JBP_2022-02-13_final.stac-item
2022-03-24 11:44:50	ga_s2bm_ard_3-2-1_50JPS_2022-03-24_final.stac-item
2022-03-25 11:14:21	ga_s2bm_ard_3-2-1_52JBT_2022-03-25_final.stac-item
2022-04-03 11:43:58	ga_s2bm_ard_3-2-1_51KTQ_2022-04-03_final.stac-item
2022-04-24 11:16:35	ga_s2bm_ard_3-2-1_51HXD_2022-04-24_final.stac-item
2022-04-30 11:33:50	ga_s2bm_ard_3-2-1_51KWQ_2022-04-30_final.stac-item
2022-05-03 11:46:46	ga_s2bm_ard_3-2-1_50HNJ_2022-05-03_final.stac-item
2022-05-28 10:55:03	ga_s2bm_ard_3-2-1_52JGQ_2022-05-28_final.stac-item
2022-07-22 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2022-07-22_final.stac-item
2022-07-30 11:06:04	ga_s2bm_ard_3-2-1_52JEL_2022-07-30_final.stac-item
2022-10-12 10:46:08	ga_s2bm_ard_3-2-1_53HLE_2022-10-12_final.stac-item
2022-10-18 11:04:32	ga_s2bm_ard_3-2-1_52JES_2022-10-18_final.stac-item
2022-10-20 13:21:43	ga_s2bm_ard_3-2-1_47LKG_2022-10-20_interim
2022-10-24 11:26:35	ga_s2bm_ard_3-2-1_51HXD_2022-10-24_final.stac-item
2022-11-07 11:02:46	ga_s2bm_ard_3-2-1_52KFD_2022-11-07_final.stac-item
2022-11-23 11:22:11	ga_s2bm_ard_3-2-1_51KYB_2022-11-23_final.stac-item
2023-01-29 11:13:41	ga_s2bm_ard_3-2-1_52KEV_2023-01-29_final.stac-item
2023-03-26 11:34:20	ga_s2bm_ard_3-2-1_51KUP_2023-03-26_final
2023-03-29 11:45:42	ga_s2bm_ard_3-2-1_50JNP_2023-03-29_final
2023-03-30 11:14:38	ga_s2bm_ard_3-2-1_52JCS_2023-03-30_final
2023-03-30 11:15:25	ga_s2bm_ard_3-2-1_52JBP_2023-03-30_final
2023-07-01 11:23:40	ga_s2bm_ard_3-2-1_52KBA_2023-07-01_final
2023-07-08 11:13:13	ga_s2bm_ard_3-2-1_52KCC_2023-07-08_final
2023-10-04 12:13:40	ga_s2bm_ard_3-2-1_50KKB_2023-10-04_final
2023-10-12 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2023-10-12_final
2023-11-11 11:35:49	ga_s2bm_ard_3-2-1_51JTH_2023-11-11_final
2024-01-24 11:15:47	ga_s2bm_ard_3-2-1_52JCM_2024-01-24_final
2024-01-27 11:22:35	ga_s2bm_ard_3-2-1_52KBE_2024-01-27_final
2024-01-27 11:22:50	ga_s2bm_ard_3-2-1_52KBD_2024-01-27_final
2024-03-04 11:13:47	ga_s2bm_ard_3-2-1_52KCV_2024-03-04_final
2024-03-11 11:02:14	ga_s2bm_ard_3-2-1_52KFF_2024-03-11_final
2024-03-17 11:26:39	ga_s2bm_ard_3-2-1_51HWD_2024-03-17_final
2024-03-21 11:03:20	ga_s2bm_ard_3-2-1_52KEB_2024-03-21_final
2024-05-29 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2024-05-29_nrt
2024-05-30 11:04:03	ga_s2bm_ard_3-2-1_52KEU_2024-05-30_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