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
2018-07-16 10:10:50	ga_s2bm_ard_3-2-1_54HWJ_2018-07-16_final.stac-item
2018-07-16 10:10:50	ga_s2bm_ard_3-2-1_54HWK_2018-07-16_final.stac-item
2018-07-16 10:10:50	ga_s2bm_ard_3-2-1_54HXJ_2018-07-16_final.stac-item
2018-07-16 10:10:50	ga_s2bm_ard_3-2-1_54HXK_2018-07-16_final.stac-item
2018-07-16 10:10:50	ga_s2bm_ard_3-2-1_54JWL_2018-07-16_final.stac-item
2018-07-16 10:10:50	ga_s2bm_ard_3-2-1_54JXL_2018-07-16_final.stac-item
2018-07-19 10:17:04	ga_s2bm_ard_3-2-1_54KXB_2018-07-19_final.stac-item
2018-07-19 10:17:04	ga_s2bm_ard_3-2-1_54KXC_2018-07-19_final.stac-item
2018-07-19 10:17:04	ga_s2bm_ard_3-2-1_54KXD_2018-07-19_final.stac-item
2018-07-19 10:17:04	ga_s2bm_ard_3-2-1_54KXE_2018-07-19_final.stac-item
2018-07-19 10:17:04	ga_s2bm_ard_3-2-1_54KXF_2018-07-19_final.stac-item
2018-07-19 10:17:04	ga_s2bm_ard_3-2-1_54KXG_2018-07-19_final.stac-item
2018-07-19 10:17:04	ga_s2bm_ard_3-2-1_54LXH_2018-07-19_final.stac-item
2018-07-19 10:17:04	ga_s2bm_ard_3-2-1_54LXJ_2018-07-19_final.stac-item
2018-07-19 10:17:04	ga_s2bm_ard_3-2-1_54LXK_2018-07-19_final.stac-item
2018-07-19 10:17:04	ga_s2bm_ard_3-2-1_54LXL_2018-07-19_final.stac-item
2018-07-19 10:17:04	ga_s2bm_ard_3-2-1_54LXM_2018-07-19_final.stac-item
2018-07-19 10:17:04	ga_s2bm_ard_3-2-1_54LXN_2018-07-19_final.stac-item
2018-07-19 10:17:04	ga_s2bm_ard_3-2-1_54LXP_2018-07-19_final.stac-item
2018-07-19 10:22:47	ga_s2bm_ard_3-2-1_54KWA_2018-07-19_final.stac-item
2018-07-19 10:22:47	ga_s2bm_ard_3-2-1_54KWV_2018-07-19_final.stac-item
2018-07-19 10:22:47	ga_s2bm_ard_3-2-1_54KXA_2018-07-19_final.stac-item
2018-07-19 10:22:47	ga_s2bm_ard_3-2-1_54KXB_2018-07-19_final.stac-item
2018-07-19 10:22:47	ga_s2bm_ard_3-2-1_54KXV_2018-07-19_final.stac-item
2018-07-20 09:54:14	ga_s2bm_ard_3-2-1_54HWC_2018-07-20_final.stac-item
2018-07-22 10:27:05	ga_s2bm_ard_3-2-1_54LXN_2018-07-22_final.stac-item
2018-07-22 10:27:05	ga_s2bm_ard_3-2-1_54LXP_2018-07-22_final.stac-item
2018-07-22 10:27:05	ga_s2bm_ard_3-2-1_54LXQ_2018-07-22_final.stac-item
2018-07-23 10:04:00	ga_s2bm_ard_3-2-1_54HWC_2018-07-23_final.stac-item
2018-07-23 10:04:00	ga_s2bm_ard_3-2-1_54HWD_2018-07-23_final.stac-item
2018-07-23 10:04:00	ga_s2bm_ard_3-2-1_54HWE_2018-07-23_final.stac-item
2018-07-23 10:04:00	ga_s2bm_ard_3-2-1_54HWF_2018-07-23_final.stac-item
2018-07-23 10:04:00	ga_s2bm_ard_3-2-1_54HWG_2018-07-23_final.stac-item
2018-07-23 10:04:00	ga_s2bm_ard_3-2-1_54HWH_2018-07-23_final.stac-item
2018-07-23 10:04:00	ga_s2bm_ard_3-2-1_54HWJ_2018-07-23_final.stac-item
2018-07-23 10:04:00	ga_s2bm_ard_3-2-1_54HWK_2018-07-23_final.stac-item
2018-07-23 10:04:00	ga_s2bm_ard_3-2-1_54HXJ_2018-07-23_final.stac-item
2018-07-23 10:04:00	ga_s2bm_ard_3-2-1_54HXK_2018-07-23_final.stac-item
2018-07-23 10:04:00	ga_s2bm_ard_3-2-1_54JWL_2018-07-23_final.stac-item
2018-07-23 10:04:00	ga_s2bm_ard_3-2-1_54JWM_2018-07-23_final.stac-item
2018-07-23 10:04:00	ga_s2bm_ard_3-2-1_54JXL_2018-07-23_final.stac-item
2018-07-23 10:04:00	ga_s2bm_ard_3-2-1_54JXM_2018-07-23_final.stac-item
2018-07-26 10:13:42	ga_s2bm_ard_3-2-1_54HWJ_2018-07-26_final.stac-item
2018-07-26 10:13:42	ga_s2bm_ard_3-2-1_54HWK_2018-07-26_final.stac-item
2018-07-26 10:13:42	ga_s2bm_ard_3-2-1_54HXJ_2018-07-26_final.stac-item
2018-07-26 10:13:42	ga_s2bm_ard_3-2-1_54HXK_2018-07-26_final.stac-item
2018-07-26 10:13:42	ga_s2bm_ard_3-2-1_54JWL_2018-07-26_final.stac-item
2018-07-26 10:13:42	ga_s2bm_ard_3-2-1_54JXL_2018-07-26_final.stac-item
2018-07-29 10:17:03	ga_s2bm_ard_3-2-1_54KXB_2018-07-29_final.stac-item
2018-07-29 10:17:03	ga_s2bm_ard_3-2-1_54KXC_2018-07-29_final.stac-item
2018-07-29 10:17:03	ga_s2bm_ard_3-2-1_54KXD_2018-07-29_final.stac-item
2018-07-29 10:17:03	ga_s2bm_ard_3-2-1_54KXE_2018-07-29_final.stac-item
2018-07-29 10:17:03	ga_s2bm_ard_3-2-1_54KXF_2018-07-29_final.stac-item
2018-07-29 10:17:03	ga_s2bm_ard_3-2-1_54KXG_2018-07-29_final.stac-item
2018-07-29 10:17:03	ga_s2bm_ard_3-2-1_54LXH_2018-07-29_final.stac-item
2018-07-29 10:17:03	ga_s2bm_ard_3-2-1_54LXJ_2018-07-29_final.stac-item
2018-07-29 10:17:03	ga_s2bm_ard_3-2-1_54LXK_2018-07-29_final.stac-item
2018-07-29 10:17:03	ga_s2bm_ard_3-2-1_54LXL_2018-07-29_final.stac-item
2018-07-29 10:17:03	ga_s2bm_ard_3-2-1_54LXM_2018-07-29_final.stac-item
2018-07-29 10:17:03	ga_s2bm_ard_3-2-1_54LXN_2018-07-29_final.stac-item
2018-07-29 10:17:03	ga_s2bm_ard_3-2-1_54LXP_2018-07-29_final.stac-item
2018-07-29 10:22:46	ga_s2bm_ard_3-2-1_54KWA_2018-07-29_final.stac-item
2018-07-29 10:22:46	ga_s2bm_ard_3-2-1_54KWV_2018-07-29_final.stac-item
2018-07-29 10:22:46	ga_s2bm_ard_3-2-1_54KXA_2018-07-29_final.stac-item
2018-07-29 10:22:46	ga_s2bm_ard_3-2-1_54KXB_2018-07-29_final.stac-item
2018-07-29 10:22:46	ga_s2bm_ard_3-2-1_54KXV_2018-07-29_final.stac-item
2018-07-30 09:52:43	ga_s2bm_ard_3-2-1_54HWC_2018-07-30_final.stac-item
2019-07-28 10:06:36	ga_s2bm_ard_3-2-1_54HWH_2019-07-28_final.stac-item
2019-07-28 10:06:51	ga_s2bm_ard_3-2-1_54HWG_2019-07-28_final.stac-item
2019-07-28 10:07:05	ga_s2bm_ard_3-2-1_54HWF_2019-07-28_final.stac-item
2019-07-28 10:07:20	ga_s2bm_ard_3-2-1_54HWE_2019-07-28_final.stac-item
2019-07-28 10:07:34	ga_s2bm_ard_3-2-1_54HWD_2019-07-28_final.stac-item
2019-07-28 10:07:49	ga_s2bm_ard_3-2-1_54HWC_2019-07-28_final.stac-item
2019-08-13 10:20:05	ga_s2bm_ard_3-2-1_54LXP_2019-08-13_final.stac-item
2019-08-13 10:20:20	ga_s2bm_ard_3-2-1_54LXN_2019-08-13_final.stac-item
2019-08-13 10:20:34	ga_s2bm_ard_3-2-1_54LXM_2019-08-13_final.stac-item
2019-08-13 10:20:49	ga_s2bm_ard_3-2-1_54LXL_2019-08-13_final.stac-item
2019-08-13 10:21:04	ga_s2bm_ard_3-2-1_54LXK_2019-08-13_final.stac-item
2019-08-13 10:21:18	ga_s2bm_ard_3-2-1_54LXJ_2019-08-13_final.stac-item
2019-08-13 10:21:33	ga_s2bm_ard_3-2-1_54LXH_2019-08-13_final.stac-item
2019-08-13 10:21:47	ga_s2bm_ard_3-2-1_54KXG_2019-08-13_final.stac-item
2019-08-13 10:22:02	ga_s2bm_ard_3-2-1_54KXF_2019-08-13_final.stac-item
2019-08-13 10:22:16	ga_s2bm_ard_3-2-1_54KXE_2019-08-13_final.stac-item
2019-08-13 10:22:30	ga_s2bm_ard_3-2-1_54KXD_2019-08-13_final.stac-item
2019-08-13 10:22:45	ga_s2bm_ard_3-2-1_54KXC_2019-08-13_final.stac-item
2019-08-13 10:23:00	ga_s2bm_ard_3-2-1_54KXB_2019-08-13_final.stac-item
2019-08-13 10:23:09	ga_s2bm_ard_3-2-1_54KXA_2019-08-13_final.stac-item
2019-08-13 10:23:14	ga_s2bm_ard_3-2-1_54KXA_2019-08-13_final.stac-item
2019-08-13 10:23:18	ga_s2bm_ard_3-2-1_54KWA_2019-08-13_final.stac-item
2019-08-13 10:23:24	ga_s2bm_ard_3-2-1_54KXV_2019-08-13_final.stac-item
2019-08-13 10:23:32	ga_s2bm_ard_3-2-1_54KWV_2019-08-13_final.stac-item
2023-10-31 10:20:01	ga_s2bm_ard_3-2-1_54LXP_2023-10-31_final
2023-10-31 10:20:16	ga_s2bm_ard_3-2-1_54LXN_2023-10-31_final
2023-10-31 10:20:30	ga_s2bm_ard_3-2-1_54LXM_2023-10-31_final
2023-10-31 10:20:45	ga_s2bm_ard_3-2-1_54LXL_2023-10-31_final
2023-10-31 10:20:59	ga_s2bm_ard_3-2-1_54LXK_2023-10-31_final
2023-10-31 10:21:14	ga_s2bm_ard_3-2-1_54LXJ_2023-10-31_final
2023-10-31 10:21:28	ga_s2bm_ard_3-2-1_54LXH_2023-10-31_final
2023-10-31 10:21:43	ga_s2bm_ard_3-2-1_54KXG_2023-10-31_final
2023-10-31 10:21:57	ga_s2bm_ard_3-2-1_54KXF_2023-10-31_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