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
2021-06-04 11:31:19	ga_s2bm_ard_3-2-1_52LBK_2021-06-04_final.stac-item
2021-06-04 11:31:22	ga_s2bm_ard_3-2-1_51LZE_2021-06-04_final.stac-item
2021-06-04 11:31:25	ga_s2bm_ard_3-2-1_51LYE_2021-06-04_final.stac-item
2021-06-04 11:31:30	ga_s2bm_ard_3-2-1_52LBJ_2021-06-04_final.stac-item
2021-06-04 11:31:32	ga_s2bm_ard_3-2-1_51LWE_2021-06-04_final.stac-item
2021-06-04 11:31:36	ga_s2bm_ard_3-2-1_51LZD_2021-06-04_final.stac-item
2021-06-04 11:31:40	ga_s2bm_ard_3-2-1_51LYD_2021-06-04_final.stac-item
2021-06-04 11:31:43	ga_s2bm_ard_3-2-1_51LXD_2021-06-04_final.stac-item
2021-06-12 10:51:05	ga_s2bm_ard_3-2-1_53LPE_2021-06-12_final.stac-item
2021-06-12 10:51:08	ga_s2bm_ard_3-2-1_53LNE_2021-06-12_final.stac-item
2021-06-12 10:51:12	ga_s2bm_ard_3-2-1_53LME_2021-06-12_final.stac-item
2021-06-12 10:51:14	ga_s2bm_ard_3-2-1_53LLE_2021-06-12_final.stac-item
2021-06-12 10:51:19	ga_s2bm_ard_3-2-1_53LPD_2021-06-12_final
2021-06-12 10:51:23	ga_s2bm_ard_3-2-1_53LND_2021-06-12_final.stac-item
2021-06-12 10:51:29	ga_s2bm_ard_3-2-1_53LLD_2021-06-12_final.stac-item
2021-06-13 10:20:50	ga_s2bm_ard_3-2-1_54LZK_2021-06-13_final.stac-item
2021-06-13 10:20:54	ga_s2bm_ard_3-2-1_54LYK_2021-06-13_final.stac-item
2021-06-13 10:20:58	ga_s2bm_ard_3-2-1_54LXK_2021-06-13_final.stac-item
2021-06-13 10:21:01	ga_s2bm_ard_3-2-1_54LWK_2021-06-13_final.stac-item
2021-06-13 10:21:02	ga_s2bm_ard_3-2-1_54LZJ_2021-06-13_final.stac-item
2021-06-13 10:21:09	ga_s2bm_ard_3-2-1_54LYJ_2021-06-13_final.stac-item
2021-06-13 10:21:13	ga_s2bm_ard_3-2-1_54LXJ_2021-06-13_final.stac-item
2021-06-13 10:21:16	ga_s2bm_ard_3-2-1_54LWJ_2021-06-13_final.stac-item
2021-06-16 10:30:56	ga_s2bm_ard_3-2-1_54LWK_2021-06-16_final.stac-item
2021-06-16 10:31:00	ga_s2bm_ard_3-2-1_54LVK_2021-06-16_final
2021-06-16 10:31:18	ga_s2bm_ard_3-2-1_54LUJ_2021-06-16_final
2021-08-05 10:30:57	ga_s2bm_ard_3-2-1_54LWK_2021-08-05_final.stac-item
2021-08-05 10:31:00	ga_s2bm_ard_3-2-1_54LVK_2021-08-05_final
2021-08-05 10:31:18	ga_s2bm_ard_3-2-1_54LUJ_2021-08-05_final
2021-08-16 11:41:26	ga_s2bm_ard_3-2-1_51LWE_2021-08-16_final.stac-item
2021-08-16 11:41:30	ga_s2bm_ard_3-2-1_51LVE_2021-08-16_final.stac-item
2021-08-16 11:41:33	ga_s2bm_ard_3-2-1_51LUE_2021-08-16_final.stac-item
2021-08-16 11:41:47	ga_s2bm_ard_3-2-1_51LUD_2021-08-16_final
2021-08-20 11:21:20	ga_s2bm_ard_3-2-1_52LCK_2021-08-20_final
2021-08-20 11:21:23	ga_s2bm_ard_3-2-1_52LBK_2021-08-20_final.stac-item
2021-08-20 11:21:25	ga_s2bm_ard_3-2-1_51LZE_2021-08-20_final.stac-item
2021-08-20 11:21:35	ga_s2bm_ard_3-2-1_52LCJ_2021-08-20_final.stac-item
2021-08-20 11:21:38	ga_s2bm_ard_3-2-1_52LBJ_2021-08-20_final.stac-item
2021-08-20 11:21:39	ga_s2bm_ard_3-2-1_51LZD_2021-08-20_final.stac-item
2021-08-25 10:30:54	ga_s2bm_ard_3-2-1_54LWK_2021-08-25_final.stac-item
2021-08-25 10:30:57	ga_s2bm_ard_3-2-1_54LVK_2021-08-25_final
2021-08-25 10:31:15	ga_s2bm_ard_3-2-1_54LUJ_2021-08-25_final
2022-12-27 11:01:08	ga_s2bm_ard_3-2-1_53LLE_2022-12-27_final.stac-item
2022-12-27 11:01:12	ga_s2bm_ard_3-2-1_53LKE_2022-12-27_final.stac-item
2022-12-27 11:01:13	ga_s2bm_ard_3-2-1_52LHK_2022-12-27_final.stac-item
2022-12-27 11:01:16	ga_s2bm_ard_3-2-1_52LGK_2022-12-27_final.stac-item
2022-12-27 11:01:23	ga_s2bm_ard_3-2-1_53LLD_2022-12-27_final.stac-item
2022-12-27 11:01:26	ga_s2bm_ard_3-2-1_53LKD_2022-12-27_final.stac-item
2022-12-27 11:01:27	ga_s2bm_ard_3-2-1_52LHJ_2022-12-27_final.stac-item
2022-12-27 11:01:31	ga_s2bm_ard_3-2-1_52LGJ_2022-12-27_final.stac-item
2022-12-30 11:11:11	ga_s2bm_ard_3-2-1_52LGK_2022-12-30_final.stac-item
2022-12-30 11:11:15	ga_s2bm_ard_3-2-1_52LFK_2022-12-30_final.stac-item
2022-12-30 11:11:21	ga_s2bm_ard_3-2-1_52LDK_2022-12-30_nrt.stac-item
2022-12-30 11:11:26	ga_s2bm_ard_3-2-1_52LGJ_2022-12-30_final.stac-item
2022-12-30 11:11:29	ga_s2bm_ard_3-2-1_52LFJ_2022-12-30_final.stac-item
2022-12-30 11:11:33	ga_s2bm_ard_3-2-1_52LEJ_2022-12-30_final.stac-item
2023-01-04 12:01:33	ga_s2bm_ard_3-2-1_50LPK_2023-01-04_nrt.stac-item
2023-01-04 12:01:35	ga_s2bm_ard_3-2-1_50LNK_2023-01-04_nrt.stac-item
2023-01-04 12:01:40	ga_s2bm_ard_3-2-1_50LPJ_2023-01-04_nrt.stac-item
2023-01-04 12:01:42	ga_s2bm_ard_3-2-1_50LNJ_2023-01-04_nrt.stac-item
2023-01-09 11:11:09	ga_s2bm_ard_3-2-1_52LGK_2023-01-09_final.stac-item
2023-01-09 11:11:13	ga_s2bm_ard_3-2-1_52LFK_2023-01-09_final.stac-item
2023-01-09 11:11:16	ga_s2bm_ard_3-2-1_52LEK_2023-01-09_final
2023-01-09 11:11:19	ga_s2bm_ard_3-2-1_52LDK_2023-01-09_nrt.stac-item
2023-01-09 11:11:24	ga_s2bm_ard_3-2-1_52LGJ_2023-01-09_final.stac-item
2023-01-09 11:11:27	ga_s2bm_ard_3-2-1_52LFJ_2023-01-09_final.stac-item
2023-01-09 11:11:31	ga_s2bm_ard_3-2-1_52LEJ_2023-01-09_final.stac-item
2023-01-11 10:10:43	ga_s2bm_ard_3-2-1_55LDE_2023-01-11_nrt.stac-item
2023-01-11 10:10:46	ga_s2bm_ard_3-2-1_55LCE_2023-01-11_final.stac-item
2023-01-11 10:10:49	ga_s2bm_ard_3-2-1_55LBE_2023-01-11_final.stac-item
2023-01-11 10:10:51	ga_s2bm_ard_3-2-1_54LZK_2023-01-11_final.stac-item
2023-01-11 10:10:56	ga_s2bm_ard_3-2-1_54LYK_2023-01-11_final.stac-item
2023-01-11 10:11:01	ga_s2bm_ard_3-2-1_55LCD_2023-01-11_final.stac-item
2023-01-11 10:11:04	ga_s2bm_ard_3-2-1_55LBD_2023-01-11_final.stac-item
2023-01-11 10:11:05	ga_s2bm_ard_3-2-1_54LZJ_2023-01-11_final.stac-item
2023-01-11 10:11:09	ga_s2bm_ard_3-2-1_54LYJ_2023-01-11_final.stac-item
2023-01-14 10:20:45	ga_s2bm_ard_3-2-1_54LZK_2023-01-14_final.stac-item
2023-01-14 10:20:49	ga_s2bm_ard_3-2-1_54LYK_2023-01-14_final.stac-item
2023-01-14 10:20:53	ga_s2bm_ard_3-2-1_54LXK_2023-01-14_final.stac-item
2023-01-14 10:20:56	ga_s2bm_ard_3-2-1_54LWK_2023-01-14_final.stac-item
2023-01-14 10:20:57	ga_s2bm_ard_3-2-1_54LZJ_2023-01-14_final.stac-item
2023-01-14 10:21:04	ga_s2bm_ard_3-2-1_54LYJ_2023-01-14_final.stac-item
2023-01-14 10:21:07	ga_s2bm_ard_3-2-1_54LXJ_2023-01-14_final.stac-item
2023-01-14 10:21:11	ga_s2bm_ard_3-2-1_54LWJ_2023-01-14_final.stac-item
2023-01-17 10:30:52	ga_s2bm_ard_3-2-1_54LWK_2023-01-17_final.stac-item
2023-01-17 10:30:59	ga_s2bm_ard_3-2-1_54LUK_2023-01-17_nrt.stac-item
2023-01-17 10:31:02	ga_s2bm_ard_3-2-1_54LTK_2023-01-17_nrt.stac-item
2023-01-17 10:31:06	ga_s2bm_ard_3-2-1_53LRE_2023-01-17_nrt.stac-item
2023-01-17 10:31:17	ga_s2bm_ard_3-2-1_54LTJ_2023-01-17_nrt.stac-item
2023-01-17 10:31:18	ga_s2bm_ard_3-2-1_53LRD_2023-01-17_nrt.stac-item
2023-01-18 10:00:38	ga_s2bm_ard_3-2-1_55LGE_2023-01-18_nrt.stac-item
2023-01-18 10:00:42	ga_s2bm_ard_3-2-1_55LFE_2023-01-18_nrt.stac-item
2023-01-18 10:00:46	ga_s2bm_ard_3-2-1_55LEE_2023-01-18_nrt.stac-item
2023-01-18 10:00:49	ga_s2bm_ard_3-2-1_55LGD_2023-01-18_nrt.stac-item
2023-01-18 10:00:49	ga_s2bm_ard_3-2-1_55LDE_2023-01-18_nrt.stac-item
2023-01-18 10:00:57	ga_s2bm_ard_3-2-1_55LFD_2023-01-18_nrt.stac-item
2023-01-18 10:01:00	ga_s2bm_ard_3-2-1_55LED_2023-01-18_nrt.stac-item
2023-01-21 10:10:58	ga_s2bm_ard_3-2-1_54LYK_2023-01-21_final.stac-item
2023-01-21 10:11:06	ga_s2bm_ard_3-2-1_55LBD_2023-01-21_final.stac-item
2023-01-21 10:11:07	ga_s2bm_ard_3-2-1_54LZJ_2023-01-21_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