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
2017-10-26 10:02:29	ga_s2bm_ard_3-2-1_55KCP_2017-10-26_final.stac-item
2017-10-26 10:02:29	ga_s2bm_ard_3-2-1_55KCQ_2017-10-26_final.stac-item
2017-10-26 10:02:29	ga_s2bm_ard_3-2-1_55KCR_2017-10-26_final.stac-item
2017-10-26 10:02:29	ga_s2bm_ard_3-2-1_55KCS_2017-10-26_final.stac-item
2017-10-29 10:06:51	ga_s2bm_ard_3-2-1_55KCB_2017-10-29_final.stac-item
2017-10-29 10:06:51	ga_s2bm_ard_3-2-1_55LCC_2017-10-29_final.stac-item
2017-10-29 10:06:51	ga_s2bm_ard_3-2-1_55LCD_2017-10-29_final.stac-item
2017-10-29 10:06:51	ga_s2bm_ard_3-2-1_55LCE_2017-10-29_final.stac-item
2017-11-02 09:51:42	ga_s2bm_ard_3-2-1_55JCK_2017-11-02_final.stac-item
2017-11-02 09:51:42	ga_s2bm_ard_3-2-1_55JCL_2017-11-02_final.stac-item
2017-11-02 09:51:42	ga_s2bm_ard_3-2-1_55JCM_2017-11-02_final.stac-item
2017-11-12 09:50:41	ga_s2bm_ard_3-2-1_55JCJ_2017-11-12_final.stac-item
2017-11-12 09:50:41	ga_s2bm_ard_3-2-1_55JCK_2017-11-12_final.stac-item
2017-11-12 09:50:41	ga_s2bm_ard_3-2-1_55JCL_2017-11-12_final.stac-item
2017-11-12 09:50:41	ga_s2bm_ard_3-2-1_55JCM_2017-11-12_final.stac-item
2018-11-27 09:54:05	ga_s2bm_ard_3-2-1_55JCM_2018-11-27_final.stac-item
2018-11-27 09:54:19	ga_s2bm_ard_3-2-1_55JCL_2018-11-27_final.stac-item
2018-11-27 09:54:34	ga_s2bm_ard_3-2-1_55JCK_2018-11-27_final.stac-item
2018-11-27 09:54:48	ga_s2bm_ard_3-2-1_55JCJ_2018-11-27_final.stac-item
2018-11-27 09:55:03	ga_s2bm_ard_3-2-1_55JCH_2018-11-27_final.stac-item
2018-11-27 09:55:17	ga_s2bm_ard_3-2-1_55JCG_2018-11-27_final.stac-item
2018-11-27 09:55:32	ga_s2bm_ard_3-2-1_55JCF_2018-11-27_final.stac-item
2018-11-27 09:55:46	ga_s2bm_ard_3-2-1_55HCE_2018-11-27_final.stac-item
2018-11-27 09:56:01	ga_s2bm_ard_3-2-1_55HCD_2018-11-27_final.stac-item
2018-11-27 09:56:15	ga_s2bm_ard_3-2-1_55HCC_2018-11-27_final.stac-item
2018-11-27 09:56:21	ga_s2bm_ard_3-2-1_55HCB_2018-11-27_final.stac-item
2018-11-27 09:56:21	ga_s2bm_ard_3-2-1_55HCC_2018-11-27_final.stac-item
2018-11-27 09:56:27	ga_s2bm_ard_3-2-1_55HDB_2018-11-27_final.stac-item
2018-11-27 09:56:30	ga_s2bm_ard_3-2-1_55HCB_2018-11-27_final.stac-item
2018-11-27 09:56:41	ga_s2bm_ard_3-2-1_55HDA_2018-11-27_final.stac-item
2018-11-27 09:56:45	ga_s2bm_ard_3-2-1_55HCA_2018-11-27_final.stac-item
2018-11-27 09:56:54	ga_s2bm_ard_3-2-1_55HDV_2018-11-27_final.stac-item
2018-11-27 09:56:59	ga_s2bm_ard_3-2-1_55HCV_2018-11-27_final.stac-item
2018-12-07 09:54:04	ga_s2bm_ard_3-2-1_55JCM_2018-12-07_final.stac-item
2018-12-07 09:54:17	ga_s2bm_ard_3-2-1_55JCL_2018-12-07_final.stac-item
2018-12-07 09:54:32	ga_s2bm_ard_3-2-1_55JCK_2018-12-07_final.stac-item
2018-12-07 09:54:47	ga_s2bm_ard_3-2-1_55JCJ_2018-12-07_final.stac-item
2018-12-07 09:55:01	ga_s2bm_ard_3-2-1_55JCH_2018-12-07_final.stac-item
2018-12-07 09:55:16	ga_s2bm_ard_3-2-1_55JCG_2018-12-07_final.stac-item
2018-12-07 09:55:30	ga_s2bm_ard_3-2-1_55JCF_2018-12-07_final.stac-item
2018-12-07 09:55:45	ga_s2bm_ard_3-2-1_55HCE_2018-12-07_final.stac-item
2018-12-07 09:55:59	ga_s2bm_ard_3-2-1_55HCD_2018-12-07_final.stac-item
2018-12-07 09:56:14	ga_s2bm_ard_3-2-1_55HCC_2018-12-07_final.stac-item
2018-12-07 09:56:25	ga_s2bm_ard_3-2-1_55HDB_2018-12-07_final.stac-item
2018-12-07 09:56:29	ga_s2bm_ard_3-2-1_55HCB_2018-12-07_final.stac-item
2018-12-07 09:56:38	ga_s2bm_ard_3-2-1_55HDA_2018-12-07_final.stac-item
2018-12-07 09:56:41	ga_s2bm_ard_3-2-1_55HCA_2018-12-07_final.stac-item
2018-12-07 09:56:45	ga_s2bm_ard_3-2-1_55HDA_2018-12-07_final.stac-item
2018-12-07 09:56:47	ga_s2bm_ard_3-2-1_55HCA_2018-12-07_final.stac-item
2018-12-07 09:56:53	ga_s2bm_ard_3-2-1_55HDV_2018-12-07_final.stac-item
2018-12-07 09:56:58	ga_s2bm_ard_3-2-1_55HCV_2018-12-07_final.stac-item
2018-12-07 09:57:03	ga_s2bm_ard_3-2-1_55HDU_2018-12-07_final.stac-item
2018-12-07 09:57:12	ga_s2bm_ard_3-2-1_55HCU_2018-12-07_final.stac-item
2018-12-10 10:01:18	ga_s2bm_ard_3-2-1_55LCC_2018-12-10_final.stac-item
2018-12-10 10:01:32	ga_s2bm_ard_3-2-1_55KCB_2018-12-10_final.stac-item
2018-12-10 10:01:47	ga_s2bm_ard_3-2-1_55KCA_2018-12-10_final.stac-item
2018-12-10 10:02:02	ga_s2bm_ard_3-2-1_55KCV_2018-12-10_final.stac-item
2018-12-10 10:02:16	ga_s2bm_ard_3-2-1_55KCU_2018-12-10_final.stac-item
2018-12-10 10:02:31	ga_s2bm_ard_3-2-1_55KCT_2018-12-10_final.stac-item
2018-12-10 10:02:45	ga_s2bm_ard_3-2-1_55KCS_2018-12-10_final.stac-item
2018-12-10 10:03:00	ga_s2bm_ard_3-2-1_55KCR_2018-12-10_final.stac-item
2018-12-10 10:03:14	ga_s2bm_ard_3-2-1_55KCQ_2018-12-10_final.stac-item
2018-12-10 10:03:29	ga_s2bm_ard_3-2-1_55KCP_2018-12-10_final.stac-item
2018-12-10 10:03:43	ga_s2bm_ard_3-2-1_55JCN_2018-12-10_final.stac-item
2018-12-10 10:03:58	ga_s2bm_ard_3-2-1_55JCM_2018-12-10_final.stac-item
2018-12-10 10:04:12	ga_s2bm_ard_3-2-1_55JCL_2018-12-10_final.stac-item
2018-12-10 10:04:27	ga_s2bm_ard_3-2-1_55JCK_2018-12-10_final.stac-item
2018-12-13 10:11:12	ga_s2bm_ard_3-2-1_55LCC_2018-12-13_final.stac-item
2018-12-13 10:11:27	ga_s2bm_ard_3-2-1_55KCB_2018-12-13_final.stac-item
2019-07-08 10:01:33	ga_s2bm_ard_3-2-1_55LCC_2019-07-08_final.stac-item
2019-07-08 10:01:47	ga_s2bm_ard_3-2-1_55KCB_2019-07-08_final.stac-item
2019-07-08 10:01:59	ga_s2bm_ard_3-2-1_55KCA_2019-07-08_final.stac-item
2019-07-08 10:02:06	ga_s2bm_ard_3-2-1_55KCA_2019-07-08_final.stac-item
2019-07-08 10:02:17	ga_s2bm_ard_3-2-1_55KCV_2019-07-08_final.stac-item
2019-07-08 10:02:31	ga_s2bm_ard_3-2-1_55KCU_2019-07-08_final.stac-item
2019-07-08 10:02:45	ga_s2bm_ard_3-2-1_55KCT_2019-07-08_final.stac-item
2019-07-08 10:03:00	ga_s2bm_ard_3-2-1_55KCS_2019-07-08_final.stac-item
2019-07-08 10:03:15	ga_s2bm_ard_3-2-1_55KCR_2019-07-08_final.stac-item
2019-07-08 10:03:29	ga_s2bm_ard_3-2-1_55KCQ_2019-07-08_final.stac-item
2019-07-08 10:03:44	ga_s2bm_ard_3-2-1_55KCP_2019-07-08_final.stac-item
2019-07-08 10:03:58	ga_s2bm_ard_3-2-1_55JCN_2019-07-08_final.stac-item
2019-07-08 10:04:13	ga_s2bm_ard_3-2-1_55JCM_2019-07-08_final.stac-item
2019-07-08 10:04:27	ga_s2bm_ard_3-2-1_55JCL_2019-07-08_final.stac-item
2019-07-08 10:04:42	ga_s2bm_ard_3-2-1_55JCK_2019-07-08_final.stac-item
2019-07-25 09:54:17	ga_s2bm_ard_3-2-1_55JCM_2019-07-25_final.stac-item
2019-07-25 09:54:31	ga_s2bm_ard_3-2-1_55JCL_2019-07-25_final.stac-item
2019-07-25 09:54:46	ga_s2bm_ard_3-2-1_55JCK_2019-07-25_final.stac-item
2019-07-25 09:55:01	ga_s2bm_ard_3-2-1_55JCJ_2019-07-25_final.stac-item
2019-07-25 09:55:15	ga_s2bm_ard_3-2-1_55JCH_2019-07-25_final.stac-item
2019-07-25 09:55:30	ga_s2bm_ard_3-2-1_55JCG_2019-07-25_final.stac-item
2019-07-25 09:55:44	ga_s2bm_ard_3-2-1_55JCF_2019-07-25_final.stac-item
2019-07-25 09:55:59	ga_s2bm_ard_3-2-1_55HCE_2019-07-25_final.stac-item
2019-07-25 09:56:13	ga_s2bm_ard_3-2-1_55HCD_2019-07-25_final.stac-item
2019-07-25 09:56:28	ga_s2bm_ard_3-2-1_55HCC_2019-07-25_final.stac-item
2019-07-25 09:56:39	ga_s2bm_ard_3-2-1_55HDB_2019-07-25_final.stac-item
2019-07-25 09:56:42	ga_s2bm_ard_3-2-1_55HCB_2019-07-25_final.stac-item
2019-07-25 09:56:53	ga_s2bm_ard_3-2-1_55HDA_2019-07-25_final.stac-item
2019-07-25 09:56:57	ga_s2bm_ard_3-2-1_55HCA_2019-07-25_final.stac-item
2019-07-25 09:57:06	ga_s2bm_ard_3-2-1_55HDV_2019-07-25_final.stac-item
2019-07-25 09:57:11	ga_s2bm_ard_3-2-1_55HCV_2019-07-25_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