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
2017-07-09 11:12:15	ga_s2bm_ard_3-2-1_52KDD_2017-07-09_final.stac-item
2017-08-08 11:12:00	ga_s2bm_ard_3-2-1_51KZQ_2017-08-08_final.stac-item
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51LVC_2017-11-15_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51LVC_2017-12-05_final.stac-item
2018-01-06 10:37:18	ga_s2bm_ard_3-2-1_53KPU_2018-01-06_final.stac-item
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KPU_2018-01-17_final.stac-item
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KWR_2018-01-21_final.stac-item
2018-01-22 10:57:08	ga_s2bm_ard_3-2-1_53KLB_2018-01-22_final.stac-item
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_51KXU_2018-02-17_final.stac-item
2018-02-18 10:53:07	ga_s2bm_ard_3-2-1_52JGN_2018-02-18_final.stac-item
2018-03-03 10:57:06	ga_s2bm_ard_3-2-1_52JCN_2018-03-03_final.stac-item
2018-03-07 10:37:17	ga_s2bm_ard_3-2-1_53KNU_2018-03-07_final.stac-item
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_51HYE_2018-05-25_final.stac-item
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_51JTK_2018-07-03_final.stac-item
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_51KTU_2018-09-01_final.stac-item
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_50KKB_2018-09-17_final.stac-item
2018-11-06 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2018-11-06_final.stac-item
2018-11-10 11:44:10	ga_s2bm_ard_3-2-1_51KUP_2018-11-10_final.stac-item
2018-12-06 10:27:01	ga_s2bm_ard_3-2-1_54HTF_2018-12-06_final.stac-item
2018-12-11 11:10:37	ga_s2bm_ard_3-2-1_52LGM_2018-12-11_final.stac-item
2019-02-08 10:07:37	ga_s2bm_ard_3-2-1_54HXC_2019-02-08_final.stac-item
2019-03-10 10:06:43	ga_s2bm_ard_3-2-1_54HVG_2019-03-10_final.stac-item
2019-03-18 11:05:36	ga_s2bm_ard_3-2-1_52JCN_2019-03-18_final.stac-item
2019-07-05 11:33:54	ga_s2bm_ard_3-2-1_51KVR_2019-07-05_final.stac-item
2019-08-24 11:33:47	ga_s2bm_ard_3-2-1_51KWR_2019-08-24_final.stac-item
2019-08-31 11:24:01	ga_s2bm_ard_3-2-1_51KXQ_2019-08-31_final.stac-item
2019-09-03 11:33:16	ga_s2bm_ard_3-2-1_51KWT_2019-09-03_final.stac-item
2019-09-20 11:26:10	ga_s2bm_ard_3-2-1_51JWF_2019-09-20_final.stac-item
2019-09-21 10:53:27	ga_s2bm_ard_3-2-1_53KKR_2019-09-21_final.stac-item
2019-09-30 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2019-09-30_final.stac-item
2020-02-04 11:13:19	ga_s2bm_ard_3-2-1_52KBB_2020-02-04_final.stac-item
2020-03-01 11:34:22	ga_s2bm_ard_3-2-1_51JWN_2020-03-01_final.stac-item
2020-03-15 11:10:59	ga_s2bm_ard_3-2-1_52LFL_2020-03-15_final.stac-item
2020-04-04 11:10:22	ga_s2bm_ard_3-2-1_52LHN_2020-04-04_final.stac-item
2020-04-06 11:53:08	ga_s2bm_ard_3-2-1_50KRC_2020-04-06_final.stac-item
2020-04-20 11:34:44	ga_s2bm_ard_3-2-1_50JRS_2020-04-20_final.stac-item
2020-06-12 11:43:35	ga_s2bm_ard_3-2-1_50KRB_2020-06-12_final.stac-item
2020-07-02 11:43:38	ga_s2bm_ard_3-2-1_50KQB_2020-07-02_final.stac-item
2020-09-20 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2020-09-20_final.stac-item
2020-10-21 11:14:24	ga_s2bm_ard_3-2-1_52JCT_2020-10-21_final.stac-item
2020-11-30 11:14:16	ga_s2bm_ard_3-2-1_52JDT_2020-11-30_final.stac-item
2020-12-21 10:41:31	ga_s2bm_ard_3-2-1_53LQC_2020-12-21_final
2021-01-08 11:43:46	ga_s2bm_ard_3-2-1_50KRA_2021-01-08_final.stac-item
2021-02-03 12:03:40	ga_s2bm_ard_3-2-1_50KLB_2021-02-03_final.stac-item
2021-02-03 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2021-02-03_final.stac-item
2021-02-05 11:02:11	ga_s2bm_ard_3-2-1_52KHF_2021-02-05_final.stac-item
2021-02-08 11:10:24	ga_s2bm_ard_3-2-1_52LHN_2021-02-08_final.stac-item
2021-03-13 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2021-03-13_final.stac-item
2021-03-24 10:52:58	ga_s2bm_ard_3-2-1_53KKT_2021-03-24_final.stac-item
2021-03-24 10:56:03	ga_s2bm_ard_3-2-1_52JEL_2021-03-24_final.stac-item
2021-03-29 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2021-03-29_final.stac-item
2021-05-05 11:34:46	ga_s2bm_ard_3-2-1_50JRS_2021-05-05_final.stac-item
2021-06-01 11:26:26	ga_s2bm_ard_3-2-1_51HWE_2021-06-01_final.stac-item
2021-06-29 10:46:07	ga_s2bm_ard_3-2-1_53HME_2021-06-29_final.stac-item
2021-08-03 11:32:01	ga_s2bm_ard_3-2-1_51LWC_2021-08-03_final.stac-item
2021-08-15 10:36:36	ga_s2bm_ard_3-2-1_53HNC_2021-08-15_final.stac-item
2021-10-07 10:45:44	ga_s2bm_ard_3-2-1_53JKG_2021-10-07_final.stac-item
2021-11-20 10:25:03	ga_s2bm_ard_3-2-1_53JQJ_2021-11-20_final.stac-item
2021-11-25 11:15:14	ga_s2bm_ard_3-2-1_52JCP_2021-11-25_final.stac-item
2021-11-26 10:46:16	ga_s2bm_ard_3-2-1_53HMD_2021-11-26_final.stac-item
2022-02-07 10:50:33	ga_s2bm_ard_3-2-1_53LNG_2022-02-07_final.stac-item
2022-04-22 10:34:08	ga_s2bm_ard_3-2-1_53JNN_2022-04-22_final.stac-item
2022-05-29 10:24:40	ga_s2bm_ard_3-2-1_53JQL_2022-05-29_final.stac-item
2022-06-27 10:51:48	ga_s2bm_ard_3-2-1_53LLC_2022-06-27_final.stac-item
2022-08-12 11:15:46	ga_s2bm_ard_3-2-1_51JXH_2022-08-12_final.stac-item
2022-08-17 10:26:29	ga_s2bm_ard_3-2-1_54HUH_2022-08-17_final.stac-item
2022-08-17 12:06:07	ga_s2bm_ard_3-2-1_50JLM_2022-08-17_final.stac-item
2022-08-31 10:07:01	ga_s2bm_ard_3-2-1_54HVF_2022-08-31_final.stac-item
2022-10-23 10:17:03	ga_s2bm_ard_3-2-1_54HTF_2022-10-23_final.stac-item
2022-10-28 11:03:36	ga_s2bm_ard_3-2-1_52KEA_2022-10-28_final.stac-item
2022-11-01 10:45:42	ga_s2bm_ard_3-2-1_53JKG_2022-11-01_final.stac-item
2022-12-09 10:06:10	ga_s2bm_ard_3-2-1_54HWJ_2022-12-09_final.stac-item
2023-01-03 10:52:28	ga_s2bm_ard_3-2-1_53KKV_2023-01-03_final.stac-item
2023-01-21 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2023-01-21_final.stac-item
2023-01-26 11:02:23	ga_s2bm_ard_3-2-1_53KKV_2023-01-26_final.stac-item
2023-02-16 10:33:58	ga_s2bm_ard_3-2-1_53JRN_2023-02-16_final
2023-02-22 10:52:41	ga_s2bm_ard_3-2-1_53KLU_2023-02-22_final
2023-03-04 10:51:24	ga_s2bm_ard_3-2-1_53LND_2023-03-04_final
2023-03-30 11:13:57	ga_s2bm_ard_3-2-1_51KZQ_2023-03-30_final
2023-06-13 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2023-06-13_final
2023-07-29 10:43:54	ga_s2bm_ard_3-2-1_53KPP_2023-07-29_final
2023-08-02 12:05:13	ga_s2bm_ard_3-2-1_50JLR_2023-08-02_final
2023-08-03 11:36:15	ga_s2bm_ard_3-2-1_51JVF_2023-08-03_final
2023-08-13 11:37:23	ga_s2bm_ard_3-2-1_50HQG_2023-08-13_final
2023-09-21 10:26:44	ga_s2bm_ard_3-2-1_53HNC_2023-09-21_final
2023-09-28 11:56:25	ga_s2bm_ard_3-2-1_50JML_2023-09-28_final
2023-11-08 11:25:41	ga_s2bm_ard_3-2-1_51JXH_2023-11-08_final
2023-11-12 11:06:34	ga_s2bm_ard_3-2-1_52HBJ_2023-11-12_nrt
2023-11-26 10:42:42	ga_s2bm_ard_3-2-1_53KQT_2023-11-26_final
2023-12-16 10:45:51	ga_s2bm_ard_3-2-1_52JGL_2023-12-16_final
2023-12-18 11:24:15	ga_s2bm_ard_3-2-1_51KWP_2023-12-18_final
2024-01-10 11:36:56	ga_s2bm_ard_3-2-1_51HUC_2024-01-10_final
2024-01-22 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2024-01-22_final
2024-02-03 11:12:18	ga_s2bm_ard_3-2-1_52KDF_2024-02-03_final
2024-02-07 10:53:06	ga_s2bm_ard_3-2-1_53KMS_2024-02-07_final
2024-02-17 10:53:01	ga_s2bm_ard_3-2-1_52KHC_2024-02-17_final
2024-03-01 11:01:40	ga_s2bm_ard_3-2-1_52LHH_2024-03-01_final
2024-03-06 11:53:31	ga_s2bm_ard_3-2-1_50KNB_2024-03-06_final
2024-03-08 10:53:22	ga_s2bm_ard_3-2-1_52KHA_2024-03-08_final
2024-03-24 11:16:08	ga_s2bm_ard_3-2-1_51JYF_2024-03-24_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