Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2022-02-22 10:01:48	ga_s2bm_ard_3-2-1_55KCA_2022-02-22_final
2022-02-22 10:02:10	ga_s2bm_ard_3-2-1_55KBV_2022-02-22_final
2022-02-22 10:02:21	ga_s2bm_ard_3-2-1_55KBU_2022-02-22_final
2022-02-22 10:02:36	ga_s2bm_ard_3-2-1_54KZC_2022-02-22_final
2022-02-22 10:02:49	ga_s2bm_ard_3-2-1_54KZB_2022-02-22_final
2022-02-22 10:03:04	ga_s2bm_ard_3-2-1_54KZA_2022-02-22_final
2022-02-22 10:03:19	ga_s2bm_ard_3-2-1_54KZV_2022-02-22_final
2022-02-22 10:03:33	ga_s2bm_ard_3-2-1_54KZU_2022-02-22_final
2022-02-22 10:03:47	ga_s2bm_ard_3-2-1_54JZT_2022-02-22_final
2022-02-22 10:04:08	ga_s2bm_ard_3-2-1_55JDL_2022-02-22_final
2022-02-22 10:04:16	ga_s2bm_ard_3-2-1_55JDL_2022-02-22_final
2022-02-22 10:04:18	ga_s2bm_ard_3-2-1_55JDK_2022-02-22_final
2022-02-22 10:04:28	ga_s2bm_ard_3-2-1_55JCK_2022-02-22_final
2022-02-22 10:04:38	ga_s2bm_ard_3-2-1_54JXQ_2022-02-22_final
2022-02-22 10:04:42	ga_s2bm_ard_3-2-1_55JCJ_2022-02-22_final
2022-02-22 10:04:52	ga_s2bm_ard_3-2-1_54JXP_2022-02-22_final
2022-02-22 10:05:00	ga_s2bm_ard_3-2-1_55JBH_2022-02-22_final
2022-02-22 10:05:03	ga_s2bm_ard_3-2-1_54JYN_2022-02-22_final
2022-02-22 10:05:21	ga_s2bm_ard_3-2-1_54JXM_2022-02-22_final
2022-02-22 10:05:24	ga_s2bm_ard_3-2-1_55JCF_2022-02-22_final
2022-02-22 10:05:28	ga_s2bm_ard_3-2-1_54JWM_2022-02-22_final
2022-02-22 10:05:29	ga_s2bm_ard_3-2-1_55JBF_2022-02-22_final
2022-02-22 10:05:32	ga_s2bm_ard_3-2-1_54JYL_2022-02-22_final
2022-02-22 10:05:34	ga_s2bm_ard_3-2-1_55HCE_2022-02-22_final
2022-02-22 10:05:36	ga_s2bm_ard_3-2-1_54JXL_2022-02-22_final
2022-02-22 10:05:39	ga_s2bm_ard_3-2-1_54JWL_2022-02-22_final
2022-02-22 10:05:50	ga_s2bm_ard_3-2-1_54HXK_2022-02-22_final
2022-02-22 10:05:54	ga_s2bm_ard_3-2-1_54HWK_2022-02-22_final
2022-02-22 10:05:59	ga_s2bm_ard_3-2-1_55HBD_2022-02-22_final
2022-02-22 10:06:01	ga_s2bm_ard_3-2-1_54HYJ_2022-02-22_final
2022-02-22 10:06:05	ga_s2bm_ard_3-2-1_54HXJ_2022-02-22_final
2022-02-22 10:06:15	ga_s2bm_ard_3-2-1_54HYH_2022-02-22_final
2022-02-22 10:06:19	ga_s2bm_ard_3-2-1_54HXH_2022-02-22_final
2022-02-22 10:06:23	ga_s2bm_ard_3-2-1_54HWH_2022-02-22_final
2022-02-22 10:06:27	ga_s2bm_ard_3-2-1_55HBB_2022-02-22_final
2022-02-22 10:06:28	ga_s2bm_ard_3-2-1_54HVH_2022-02-22_final
2022-02-22 10:06:29	ga_s2bm_ard_3-2-1_54HYG_2022-02-22_final
2022-02-22 10:06:37	ga_s2bm_ard_3-2-1_54HWG_2022-02-22_final
2022-02-22 10:06:40	ga_s2bm_ard_3-2-1_55HBA_2022-02-22_final
2022-02-22 10:06:41	ga_s2bm_ard_3-2-1_54HVG_2022-02-22_final
2022-02-22 10:06:44	ga_s2bm_ard_3-2-1_54HYF_2022-02-22_final
2022-02-22 10:06:48	ga_s2bm_ard_3-2-1_54HXF_2022-02-22_final
2022-02-22 10:06:50	ga_s2bm_ard_3-2-1_55HBV_2022-02-22_final
2022-02-22 10:06:52	ga_s2bm_ard_3-2-1_54HWF_2022-02-22_final
2022-02-22 10:06:55	ga_s2bm_ard_3-2-1_54HVF_2022-02-22_final
2022-02-22 10:06:58	ga_s2bm_ard_3-2-1_54HYE_2022-02-22_final
2022-02-22 10:07:02	ga_s2bm_ard_3-2-1_54HXE_2022-02-22_final
2022-02-22 10:07:06	ga_s2bm_ard_3-2-1_54HWE_2022-02-22_final
2022-02-22 10:07:10	ga_s2bm_ard_3-2-1_54HVE_2022-02-22_final
2022-02-22 10:07:31	ga_s2bm_ard_3-2-1_54HXC_2022-02-22_final
2022-02-22 10:07:35	ga_s2bm_ard_3-2-1_54HWC_2022-02-22_final
2022-02-22 10:07:39	ga_s2bm_ard_3-2-1_54HVC_2022-02-22_final.stac-item
2022-02-22 11:40:52	ga_s2bm_ard_3-2-1_51LWG_2022-02-22_final.stac-item
2022-02-22 11:40:55	ga_s2bm_ard_3-2-1_51LVG_2022-02-22_final
2022-02-22 11:41:21	ga_s2bm_ard_3-2-1_51LWE_2022-02-22_final
2022-02-22 11:41:24	ga_s2bm_ard_3-2-1_51LVE_2022-02-22_final
2022-02-22 11:41:28	ga_s2bm_ard_3-2-1_51LUE_2022-02-22_final
2022-02-22 11:42:26	ga_s2bm_ard_3-2-1_51KUA_2022-02-22_final
2022-02-22 11:42:58	ga_s2bm_ard_3-2-1_51KTU_2022-02-22_final
2022-02-22 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2022-02-22_final
2022-02-22 11:43:04	ga_s2bm_ard_3-2-1_50KQD_2022-02-22_final.stac-item
2022-02-22 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2022-02-22_final
2022-02-22 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2022-02-22_final
2022-02-22 11:43:23	ga_s2bm_ard_3-2-1_51KUS_2022-02-22_final
2022-02-22 11:43:25	ga_s2bm_ard_3-2-1_50KRB_2022-02-22_final
2022-02-22 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2022-02-22_final
2022-02-22 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2022-02-22_final
2022-02-22 11:43:31	ga_s2bm_ard_3-2-1_51KTS_2022-02-22_final
2022-02-22 11:43:31	ga_s2bm_ard_3-2-1_50KRB_2022-02-22_final
2022-02-22 11:43:38	ga_s2bm_ard_3-2-1_51KUR_2022-02-22_final
2022-02-22 11:43:42	ga_s2bm_ard_3-2-1_50KRA_2022-02-22_final
2022-02-22 11:43:46	ga_s2bm_ard_3-2-1_50KQA_2022-02-22_final
2022-02-22 11:43:57	ga_s2bm_ard_3-2-1_50KRV_2022-02-22_final
2022-02-22 11:44:11	ga_s2bm_ard_3-2-1_50KRU_2022-02-22_final
2022-02-22 11:45:02	ga_s2bm_ard_3-2-1_50JPR_2022-02-22_final
2022-02-22 11:45:06	ga_s2bm_ard_3-2-1_50JNR_2022-02-22_final
2022-02-22 11:45:16	ga_s2bm_ard_3-2-1_50JPQ_2022-02-22_final
2022-02-22 11:45:19	ga_s2bm_ard_3-2-1_50JNQ_2022-02-22_final
2022-02-22 11:45:31	ga_s2bm_ard_3-2-1_50JPP_2022-02-22_final
2022-02-22 11:45:34	ga_s2bm_ard_3-2-1_50JNP_2022-02-22_final
2022-02-22 11:45:38	ga_s2bm_ard_3-2-1_51JTH_2022-02-22_final
2022-02-22 11:45:41	ga_s2bm_ard_3-2-1_50JQN_2022-02-22_final
2022-02-22 11:46:00	ga_s2bm_ard_3-2-1_50JPM_2022-02-22_final
2022-02-22 11:46:02	ga_s2bm_ard_3-2-1_51JTF_2022-02-22_final
2022-02-22 11:46:10	ga_s2bm_ard_3-2-1_50JQL_2022-02-22_final
2022-02-22 11:46:14	ga_s2bm_ard_3-2-1_50JPL_2022-02-22_final
2022-02-22 11:46:17	ga_s2bm_ard_3-2-1_50JNL_2022-02-22_final
2022-02-22 11:46:21	ga_s2bm_ard_3-2-1_50JML_2022-02-22_final
2022-02-22 11:46:28	ga_s2bm_ard_3-2-1_50HPK_2022-02-22_final
2022-02-22 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2022-02-22_final
2022-02-22 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2022-02-22_final
2022-02-22 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2022-02-22_final
2022-02-22 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2022-02-22_final
2022-02-22 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2022-02-22_final
2022-02-22 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2022-02-22_final
2022-02-22 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2022-02-22_final
2022-02-22 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2022-02-22_final
2022-02-22 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2022-02-22_final
2022-02-22 11:47:15	ga_s2bm_ard_3-2-1_50HNG_2022-02-22_final.stac-item
2022-02-22 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2022-02-22_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years