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
2017-08-13 10:18:52	ga_s2bm_ard_3-2-1_54LZK_2017-08-13_final.stac-item
2017-08-13 10:18:52	ga_s2bm_ard_3-2-1_54LZL_2017-08-13_final.stac-item
2017-08-13 10:18:52	ga_s2bm_ard_3-2-1_54LZM_2017-08-13_final.stac-item
2017-08-13 10:18:52	ga_s2bm_ard_3-2-1_54LZN_2017-08-13_final.stac-item
2017-08-13 10:18:52	ga_s2bm_ard_3-2-1_54LZP_2017-08-13_final.stac-item
2017-08-13 10:18:52	ga_s2bm_ard_3-2-1_54LZQ_2017-08-13_final.stac-item
2017-08-17 10:01:13	ga_s2bm_ard_3-2-1_55JBJ_2017-08-17_final.stac-item
2017-08-17 10:01:13	ga_s2bm_ard_3-2-1_55JBK_2017-08-17_final.stac-item
2017-08-17 10:01:13	ga_s2bm_ard_3-2-1_55JBL_2017-08-17_final.stac-item
2017-08-17 10:01:13	ga_s2bm_ard_3-2-1_55JBM_2017-08-17_final.stac-item
2017-08-17 10:01:13	ga_s2bm_ard_3-2-1_55JBN_2017-08-17_final.stac-item
2017-08-17 10:01:13	ga_s2bm_ard_3-2-1_54JYP_2017-08-17_final.stac-item
2017-08-17 10:01:13	ga_s2bm_ard_3-2-1_54JYQ_2017-08-17_final.stac-item
2017-08-17 10:01:13	ga_s2bm_ard_3-2-1_54JYR_2017-08-17_final.stac-item
2017-08-17 10:01:13	ga_s2bm_ard_3-2-1_54JYS_2017-08-17_final.stac-item
2017-08-17 10:01:13	ga_s2bm_ard_3-2-1_54JYT_2017-08-17_final.stac-item
2017-08-17 10:01:13	ga_s2bm_ard_3-2-1_54JZS_2017-08-17_final.stac-item
2017-08-17 10:01:13	ga_s2bm_ard_3-2-1_54JZT_2017-08-17_final.stac-item
2017-08-17 10:01:13	ga_s2bm_ard_3-2-1_55KBP_2017-08-17_final.stac-item
2017-08-17 10:01:13	ga_s2bm_ard_3-2-1_55KBQ_2017-08-17_final.stac-item
2017-08-17 10:01:13	ga_s2bm_ard_3-2-1_54KZU_2017-08-17_final.stac-item
2017-08-17 10:01:13	ga_s2bm_ard_3-2-1_54KZV_2017-08-17_final.stac-item
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_54GYA_2017-08-24_final.stac-item
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_55GBR_2017-08-24_final.stac-item
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_55HBA_2017-08-24_final.stac-item
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_55HBB_2017-08-24_final.stac-item
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_55HBC_2017-08-24_final.stac-item
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_55HBD_2017-08-24_final.stac-item
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_55HBE_2017-08-24_final.stac-item
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_55HBS_2017-08-24_final.stac-item
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_55HBT_2017-08-24_final.stac-item
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_55HBU_2017-08-24_final.stac-item
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_55HBV_2017-08-24_final.stac-item
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_54HYB_2017-08-24_final.stac-item
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_54HYC_2017-08-24_final.stac-item
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_54HYD_2017-08-24_final.stac-item
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_54HYE_2017-08-24_final.stac-item
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_54HYF_2017-08-24_final.stac-item
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_54HYG_2017-08-24_final.stac-item
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_54HYH_2017-08-24_final.stac-item
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_54HYJ_2017-08-24_final.stac-item
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_54HYK_2017-08-24_final.stac-item
2017-08-30 10:13:11	ga_s2bm_ard_3-2-1_55JBN_2017-08-30_final.stac-item
2017-08-30 10:13:11	ga_s2bm_ard_3-2-1_54JYT_2017-08-30_final.stac-item
2017-08-30 10:13:11	ga_s2bm_ard_3-2-1_54JZT_2017-08-30_final.stac-item
2017-08-30 10:13:11	ga_s2bm_ard_3-2-1_55KBP_2017-08-30_final.stac-item
2017-08-30 10:13:11	ga_s2bm_ard_3-2-1_55KBQ_2017-08-30_final.stac-item
2017-08-30 10:13:11	ga_s2bm_ard_3-2-1_54KZU_2017-08-30_final.stac-item
2017-08-30 10:13:11	ga_s2bm_ard_3-2-1_54KZV_2017-08-30_final.stac-item
2019-10-20 09:48:10	ga_s2bm_ard_3-2-1_55GBR_2019-10-20_final.stac-item
2019-10-20 09:48:10	ga_s2bm_ard_3-2-1_54GYA_2019-10-20_final.stac-item
2019-10-30 09:48:09	ga_s2bm_ard_3-2-1_55GBR_2019-10-30_final.stac-item
2019-10-30 09:48:09	ga_s2bm_ard_3-2-1_54GYA_2019-10-30_final.stac-item
2020-04-26 10:10:35	ga_s2bm_ard_3-2-1_54LZL_2020-04-26_final.stac-item
2020-04-26 10:10:50	ga_s2bm_ard_3-2-1_54LZK_2020-04-26_final.stac-item
2020-04-26 10:11:04	ga_s2bm_ard_3-2-1_54LZJ_2020-04-26_final.stac-item
2020-04-26 10:11:19	ga_s2bm_ard_3-2-1_54LZH_2020-04-26_final.stac-item
2020-04-26 10:11:33	ga_s2bm_ard_3-2-1_54KZG_2020-04-26_final.stac-item
2020-04-26 10:11:48	ga_s2bm_ard_3-2-1_54KZF_2020-04-26_final.stac-item
2020-04-26 10:12:02	ga_s2bm_ard_3-2-1_54KZE_2020-04-26_final.stac-item
2020-04-26 10:12:16	ga_s2bm_ard_3-2-1_54KZD_2020-04-26_final.stac-item
2020-04-26 10:12:31	ga_s2bm_ard_3-2-1_54KZC_2020-04-26_final.stac-item
2020-04-26 10:12:45	ga_s2bm_ard_3-2-1_54KZB_2020-04-26_final.stac-item
2020-04-26 10:12:59	ga_s2bm_ard_3-2-1_54KZA_2020-04-26_final.stac-item
2020-04-26 10:13:14	ga_s2bm_ard_3-2-1_55KBQ_2020-04-26_final.stac-item
2020-04-26 10:13:14	ga_s2bm_ard_3-2-1_54KZV_2020-04-26_final.stac-item
2020-04-26 10:13:28	ga_s2bm_ard_3-2-1_55KBP_2020-04-26_final.stac-item
2020-04-26 10:13:28	ga_s2bm_ard_3-2-1_54KZU_2020-04-26_final.stac-item
2020-04-26 10:13:39	ga_s2bm_ard_3-2-1_55JBN_2020-04-26_final.stac-item
2020-04-26 10:13:40	ga_s2bm_ard_3-2-1_54JZT_2020-04-26_final.stac-item
2020-04-26 10:13:47	ga_s2bm_ard_3-2-1_54JYT_2020-04-26_final.stac-item
2020-05-13 10:03:22	ga_s2bm_ard_3-2-1_55KBQ_2020-05-13_final.stac-item
2020-05-13 10:03:37	ga_s2bm_ard_3-2-1_55KBP_2020-05-13_final.stac-item
2020-05-13 10:03:37	ga_s2bm_ard_3-2-1_54KZU_2020-05-13_final.stac-item
2020-05-13 10:03:51	ga_s2bm_ard_3-2-1_54JZT_2020-05-13_final.stac-item
2020-05-13 10:03:52	ga_s2bm_ard_3-2-1_55JBN_2020-05-13_final.stac-item
2020-05-13 10:03:55	ga_s2bm_ard_3-2-1_54JYT_2020-05-13_final.stac-item
2020-05-13 10:04:03	ga_s2bm_ard_3-2-1_54JZS_2020-05-13_final.stac-item
2020-05-13 10:04:03	ga_s2bm_ard_3-2-1_55JBM_2020-05-13_final.stac-item
2020-05-13 10:04:04	ga_s2bm_ard_3-2-1_54JYS_2020-05-13_final.stac-item
2020-05-13 10:04:09	ga_s2bm_ard_3-2-1_54JZS_2020-05-13_final.stac-item
2020-05-13 10:04:10	ga_s2bm_ard_3-2-1_55JBM_2020-05-13_final.stac-item
2020-05-13 10:04:11	ga_s2bm_ard_3-2-1_54JYS_2020-05-13_final.stac-item
2020-05-13 10:04:21	ga_s2bm_ard_3-2-1_55JBL_2020-05-13_final.stac-item
2020-05-13 10:04:24	ga_s2bm_ard_3-2-1_54JYR_2020-05-13_final.stac-item
2020-05-13 10:04:35	ga_s2bm_ard_3-2-1_55JBK_2020-05-13_final.stac-item
2020-05-13 10:04:38	ga_s2bm_ard_3-2-1_54JYQ_2020-05-13_final.stac-item
2020-05-13 10:04:50	ga_s2bm_ard_3-2-1_55JBJ_2020-05-13_final.stac-item
2020-05-13 10:04:53	ga_s2bm_ard_3-2-1_54JYP_2020-05-13_final.stac-item
2020-05-13 10:05:05	ga_s2bm_ard_3-2-1_55JBH_2020-05-13_final.stac-item
2020-05-13 10:05:07	ga_s2bm_ard_3-2-1_54JYN_2020-05-13_final.stac-item
2020-05-13 10:05:19	ga_s2bm_ard_3-2-1_55JBG_2020-05-13_final.stac-item
2020-05-13 10:05:22	ga_s2bm_ard_3-2-1_54JYM_2020-05-13_final.stac-item
2020-05-13 10:05:33	ga_s2bm_ard_3-2-1_55JBF_2020-05-13_final.stac-item
2020-05-13 10:05:36	ga_s2bm_ard_3-2-1_54JYL_2020-05-13_final.stac-item
2020-05-13 10:05:48	ga_s2bm_ard_3-2-1_55HBE_2020-05-13_final.stac-item
2020-05-13 10:05:51	ga_s2bm_ard_3-2-1_54HYK_2020-05-13_final.stac-item
2020-05-13 10:06:03	ga_s2bm_ard_3-2-1_55HBD_2020-05-13_final.stac-item
2020-05-13 10:06:05	ga_s2bm_ard_3-2-1_54HYJ_2020-05-13_final.stac-item
2020-05-13 10:06:18	ga_s2bm_ard_3-2-1_55HBC_2020-05-13_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