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
2019-07-01 10:16:43	ga_s2bm_ard_3-2-1_54HTH_2019-07-01_final.stac-item
2019-07-01 10:16:57	ga_s2bm_ard_3-2-1_54HTG_2019-07-01_final.stac-item
2019-07-01 10:17:12	ga_s2bm_ard_3-2-1_54HTF_2019-07-01_final.stac-item
2019-07-21 10:16:43	ga_s2bm_ard_3-2-1_54HTH_2019-07-21_final.stac-item
2019-07-21 10:16:57	ga_s2bm_ard_3-2-1_54HTG_2019-07-21_final.stac-item
2019-07-21 10:17:12	ga_s2bm_ard_3-2-1_54HTF_2019-07-21_final.stac-item
2021-11-10 10:24:33	ga_s2bm_ard_3-2-1_54JTR_2021-11-10_final.stac-item
2021-11-10 10:24:48	ga_s2bm_ard_3-2-1_54JTQ_2021-11-10_final.stac-item
2021-11-10 10:25:02	ga_s2bm_ard_3-2-1_54JTP_2021-11-10_final.stac-item
2021-11-10 10:25:17	ga_s2bm_ard_3-2-1_54JTN_2021-11-10_final.stac-item
2021-11-10 10:25:31	ga_s2bm_ard_3-2-1_54JTM_2021-11-10_final.stac-item
2021-11-20 10:24:01	ga_s2bm_ard_3-2-1_53JRN_2021-11-20_final.stac-item
2021-11-20 10:24:01	ga_s2bm_ard_3-2-1_54JTT_2021-11-20_final.stac-item
2021-11-20 10:24:16	ga_s2bm_ard_3-2-1_53JRM_2021-11-20_final.stac-item
2021-11-20 10:24:16	ga_s2bm_ard_3-2-1_54JTS_2021-11-20_final.stac-item
2021-11-20 10:24:31	ga_s2bm_ard_3-2-1_54JTR_2021-11-20_final.stac-item
2021-11-20 10:24:45	ga_s2bm_ard_3-2-1_54JTQ_2021-11-20_final.stac-item
2021-11-20 10:25:00	ga_s2bm_ard_3-2-1_54JTP_2021-11-20_final.stac-item
2021-11-20 10:25:15	ga_s2bm_ard_3-2-1_54JTN_2021-11-20_final.stac-item
2021-11-20 10:25:29	ga_s2bm_ard_3-2-1_54JTM_2021-11-20_final.stac-item
2021-11-20 10:25:44	ga_s2bm_ard_3-2-1_54JTL_2021-11-20_final.stac-item
2021-11-23 10:32:58	ga_s2bm_ard_3-2-1_54KTB_2021-11-23_final.stac-item
2021-11-23 10:32:59	ga_s2bm_ard_3-2-1_53KRS_2021-11-23_final.stac-item
2021-11-23 10:33:13	ga_s2bm_ard_3-2-1_54KTA_2021-11-23_final.stac-item
2021-11-23 10:33:13	ga_s2bm_ard_3-2-1_53KRR_2021-11-23_final.stac-item
2021-11-23 10:33:27	ga_s2bm_ard_3-2-1_54KTV_2021-11-23_final.stac-item
2021-11-23 10:33:27	ga_s2bm_ard_3-2-1_53KRQ_2021-11-23_final.stac-item
2021-11-23 10:33:42	ga_s2bm_ard_3-2-1_54KTU_2021-11-23_final.stac-item
2021-11-23 10:33:42	ga_s2bm_ard_3-2-1_53KRP_2021-11-23_final.stac-item
2021-11-23 10:33:56	ga_s2bm_ard_3-2-1_53JRN_2021-11-23_final.stac-item
2021-11-23 10:33:56	ga_s2bm_ard_3-2-1_54JTT_2021-11-23_final.stac-item
2021-11-23 10:34:10	ga_s2bm_ard_3-2-1_53JRM_2021-11-23_final.stac-item
2021-11-23 10:34:11	ga_s2bm_ard_3-2-1_54JTS_2021-11-23_final.stac-item
2021-11-23 10:34:26	ga_s2bm_ard_3-2-1_54JTR_2021-11-23_final.stac-item
2022-04-19 10:25:42	ga_s2bm_ard_3-2-1_54JTL_2022-04-19_final.stac-item
2022-04-19 10:25:57	ga_s2bm_ard_3-2-1_54HTK_2022-04-19_final.stac-item
2022-04-19 10:26:11	ga_s2bm_ard_3-2-1_54HTJ_2022-04-19_final.stac-item
2022-04-19 10:26:26	ga_s2bm_ard_3-2-1_54HTH_2022-04-19_final.stac-item
2022-04-19 10:26:40	ga_s2bm_ard_3-2-1_54HTG_2022-04-19_final.stac-item
2022-04-19 10:26:55	ga_s2bm_ard_3-2-1_54HTF_2022-04-19_final.stac-item
2022-04-19 10:27:07	ga_s2bm_ard_3-2-1_54HTE_2022-04-19_final
2022-07-05 10:16:26	ga_s2bm_ard_3-2-1_54HTJ_2022-07-05_final.stac-item
2022-07-05 10:16:39	ga_s2bm_ard_3-2-1_54HTH_2022-07-05_final.stac-item
2022-07-05 10:16:54	ga_s2bm_ard_3-2-1_54HTG_2022-07-05_final.stac-item
2022-07-05 10:17:08	ga_s2bm_ard_3-2-1_54HTF_2022-07-05_final.stac-item
2022-07-05 10:17:23	ga_s2bm_ard_3-2-1_54HTE_2022-07-05_final
2022-07-15 10:16:38	ga_s2bm_ard_3-2-1_54HTH_2022-07-15_final.stac-item
2022-07-15 10:16:53	ga_s2bm_ard_3-2-1_54HTG_2022-07-15_final.stac-item
2022-07-15 10:17:08	ga_s2bm_ard_3-2-1_54HTF_2022-07-15_final.stac-item
2022-07-15 10:17:22	ga_s2bm_ard_3-2-1_54HTE_2022-07-15_final
2022-07-18 10:26:35	ga_s2bm_ard_3-2-1_54HTH_2022-07-18_final.stac-item
2022-07-18 10:26:49	ga_s2bm_ard_3-2-1_54HTG_2022-07-18_final.stac-item
2022-07-18 10:27:04	ga_s2bm_ard_3-2-1_54HTF_2022-07-18_final.stac-item
2022-07-18 10:27:17	ga_s2bm_ard_3-2-1_54HTE_2022-07-18_final
2022-07-25 10:16:39	ga_s2bm_ard_3-2-1_54HTH_2022-07-25_final.stac-item
2022-07-25 10:16:54	ga_s2bm_ard_3-2-1_54HTG_2022-07-25_final.stac-item
2022-07-25 10:17:08	ga_s2bm_ard_3-2-1_54HTF_2022-07-25_final.stac-item
2022-07-25 10:17:23	ga_s2bm_ard_3-2-1_54HTE_2022-07-25_final
2022-07-28 10:26:35	ga_s2bm_ard_3-2-1_54HTH_2022-07-28_final.stac-item
2022-07-28 10:26:50	ga_s2bm_ard_3-2-1_54HTG_2022-07-28_final.stac-item
2022-07-28 10:27:04	ga_s2bm_ard_3-2-1_54HTF_2022-07-28_final.stac-item
2022-07-28 10:27:17	ga_s2bm_ard_3-2-1_54HTE_2022-07-28_final
2022-08-04 10:16:38	ga_s2bm_ard_3-2-1_54HTH_2022-08-04_final.stac-item
2022-08-04 10:16:53	ga_s2bm_ard_3-2-1_54HTG_2022-08-04_final.stac-item
2022-08-04 10:17:08	ga_s2bm_ard_3-2-1_54HTF_2022-08-04_final.stac-item
2022-08-04 10:17:22	ga_s2bm_ard_3-2-1_54HTE_2022-08-04_final
2022-08-07 10:26:34	ga_s2bm_ard_3-2-1_54HTH_2022-08-07_final.stac-item
2022-08-07 10:26:49	ga_s2bm_ard_3-2-1_54HTG_2022-08-07_final.stac-item
2022-08-07 10:27:03	ga_s2bm_ard_3-2-1_54HTF_2022-08-07_final.stac-item
2022-08-07 10:27:16	ga_s2bm_ard_3-2-1_54HTE_2022-08-07_final
2022-10-16 10:24:03	ga_s2bm_ard_3-2-1_53JRN_2022-10-16_final.stac-item
2022-10-16 10:24:03	ga_s2bm_ard_3-2-1_54JTT_2022-10-16_final.stac-item
2022-10-16 10:24:16	ga_s2bm_ard_3-2-1_53JRM_2022-10-16_final.stac-item
2022-10-16 10:24:16	ga_s2bm_ard_3-2-1_54JTS_2022-10-16_final.stac-item
2022-10-16 10:24:22	ga_s2bm_ard_3-2-1_53JRM_2022-10-16_final.stac-item
2022-10-16 10:24:22	ga_s2bm_ard_3-2-1_54JTS_2022-10-16_final.stac-item
2022-10-16 10:24:33	ga_s2bm_ard_3-2-1_54JTR_2022-10-16_final.stac-item
2022-10-16 10:24:47	ga_s2bm_ard_3-2-1_54JTQ_2022-10-16_final.stac-item
2022-10-16 10:25:02	ga_s2bm_ard_3-2-1_54JTP_2022-10-16_final.stac-item
2022-10-16 10:25:17	ga_s2bm_ard_3-2-1_54JTN_2022-10-16_final.stac-item
2022-10-16 10:25:31	ga_s2bm_ard_3-2-1_54JTM_2022-10-16_final.stac-item
2022-10-16 10:25:46	ga_s2bm_ard_3-2-1_54JTL_2022-10-16_final.stac-item
2022-10-16 10:26:00	ga_s2bm_ard_3-2-1_54HTK_2022-10-16_final.stac-item
2022-10-23 10:16:33	ga_s2bm_ard_3-2-1_54HTH_2022-10-23_final.stac-item
2022-10-26 10:24:03	ga_s2bm_ard_3-2-1_53JRN_2022-10-26_final.stac-item
2022-10-26 10:24:03	ga_s2bm_ard_3-2-1_54JTT_2022-10-26_final.stac-item
2022-10-26 10:24:17	ga_s2bm_ard_3-2-1_53JRM_2022-10-26_final.stac-item
2022-10-26 10:24:18	ga_s2bm_ard_3-2-1_54JTS_2022-10-26_final.stac-item
2022-11-02 10:16:32	ga_s2bm_ard_3-2-1_54HTH_2022-11-02_final.stac-item
2022-11-02 10:16:47	ga_s2bm_ard_3-2-1_54HTG_2022-11-02_final.stac-item
2022-11-05 10:24:02	ga_s2bm_ard_3-2-1_53JRN_2022-11-05_final.stac-item
2022-11-05 10:24:02	ga_s2bm_ard_3-2-1_54JTT_2022-11-05_final.stac-item
2022-11-05 10:24:17	ga_s2bm_ard_3-2-1_53JRM_2022-11-05_final.stac-item
2022-11-05 10:24:17	ga_s2bm_ard_3-2-1_54JTS_2022-11-05_final.stac-item
2022-11-05 10:24:29	ga_s2bm_ard_3-2-1_54JTR_2022-11-05_final.stac-item
2022-11-05 10:24:36	ga_s2bm_ard_3-2-1_54JTR_2022-11-05_final.stac-item
2022-11-05 10:24:46	ga_s2bm_ard_3-2-1_54JTQ_2022-11-05_final.stac-item
2022-11-05 10:25:00	ga_s2bm_ard_3-2-1_54JTP_2022-11-05_final.stac-item
2022-11-05 10:25:15	ga_s2bm_ard_3-2-1_54JTN_2022-11-05_final.stac-item
2022-11-05 10:25:30	ga_s2bm_ard_3-2-1_54JTM_2022-11-05_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years