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
2021-04-18 10:06:05	ga_s2bm_ard_3-2-1_54HXJ_2021-04-18_final
2021-04-18 10:06:09	ga_s2bm_ard_3-2-1_54HWJ_2021-04-18_final
2021-04-18 10:06:14	ga_s2bm_ard_3-2-1_55HBC_2021-04-18_final
2021-04-18 10:06:16	ga_s2bm_ard_3-2-1_54HYH_2021-04-18_final
2021-04-18 10:06:29	ga_s2bm_ard_3-2-1_54HXG_2021-04-18_final
2021-04-18 10:06:31	ga_s2bm_ard_3-2-1_54HWG_2021-04-18_final
2021-04-18 10:06:35	ga_s2bm_ard_3-2-1_54HXG_2021-04-18_final
2021-04-18 10:06:38	ga_s2bm_ard_3-2-1_54HWG_2021-04-18_final
2021-04-18 10:06:41	ga_s2bm_ard_3-2-1_54HVG_2021-04-18_final
2021-04-18 10:06:51	ga_s2bm_ard_3-2-1_55HBV_2021-04-18_final
2021-04-18 10:06:52	ga_s2bm_ard_3-2-1_54HWF_2021-04-18_final
2021-04-18 10:06:56	ga_s2bm_ard_3-2-1_54HVF_2021-04-18_final
2021-04-18 10:06:58	ga_s2bm_ard_3-2-1_54HYE_2021-04-18_final
2021-04-18 10:07:03	ga_s2bm_ard_3-2-1_54HXE_2021-04-18_final
2021-04-18 10:07:07	ga_s2bm_ard_3-2-1_54HWE_2021-04-18_final
2021-04-18 10:07:10	ga_s2bm_ard_3-2-1_54HYD_2021-04-18_final
2021-04-18 10:07:10	ga_s2bm_ard_3-2-1_54HVE_2021-04-18_final
2021-04-18 10:07:17	ga_s2bm_ard_3-2-1_54HXD_2021-04-18_final
2021-04-18 10:07:21	ga_s2bm_ard_3-2-1_54HWD_2021-04-18_final
2021-04-18 10:07:25	ga_s2bm_ard_3-2-1_54HVD_2021-04-18_final
2021-04-18 10:07:30	ga_s2bm_ard_3-2-1_54HUD_2021-04-18_final.stac-item
2021-04-18 11:41:10	ga_s2bm_ard_3-2-1_51LVF_2021-04-18_final
2021-04-18 11:41:13	ga_s2bm_ard_3-2-1_51LUF_2021-04-18_final
2021-04-18 11:41:57	ga_s2bm_ard_3-2-1_51LUC_2021-04-18_final.stac-item
2021-04-18 11:42:04	ga_s2bm_ard_3-2-1_51KWB_2021-04-18_final
2021-04-18 11:42:08	ga_s2bm_ard_3-2-1_51KVB_2021-04-18_final
2021-04-18 11:42:12	ga_s2bm_ard_3-2-1_51KUB_2021-04-18_final.stac-item
2021-04-18 11:42:17	ga_s2bm_ard_3-2-1_51KWA_2021-04-18_final
2021-04-18 11:42:23	ga_s2bm_ard_3-2-1_51KVA_2021-04-18_final
2021-04-18 11:42:26	ga_s2bm_ard_3-2-1_51KUA_2021-04-18_final
2021-04-18 11:42:27	ga_s2bm_ard_3-2-1_51KWV_2021-04-18_final
2021-04-18 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2021-04-18_final
2021-04-18 11:42:41	ga_s2bm_ard_3-2-1_51KUV_2021-04-18_final
2021-04-18 11:42:52	ga_s2bm_ard_3-2-1_51KVU_2021-04-18_final
2021-04-18 11:42:55	ga_s2bm_ard_3-2-1_51KUU_2021-04-18_final
2021-04-18 11:42:58	ga_s2bm_ard_3-2-1_51KTU_2021-04-18_final
2021-04-18 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2021-04-18_final
2021-04-18 11:43:04	ga_s2bm_ard_3-2-1_50KQD_2021-04-18_final.stac-item
2021-04-18 11:43:57	ga_s2bm_ard_3-2-1_50KRV_2021-04-18_final
2021-04-18 11:44:55	ga_s2bm_ard_3-2-1_51JTL_2021-04-18_final
2021-04-18 11:44:59	ga_s2bm_ard_3-2-1_50JQR_2021-04-18_final
2021-04-18 11:45:09	ga_s2bm_ard_3-2-1_51JTK_2021-04-18_final
2021-04-18 11:45:13	ga_s2bm_ard_3-2-1_50JQQ_2021-04-18_final
2021-04-18 11:45:24	ga_s2bm_ard_3-2-1_51JTJ_2021-04-18_final
2021-04-18 11:45:45	ga_s2bm_ard_3-2-1_50JPN_2021-04-18_final
2021-04-18 11:45:51	ga_s2bm_ard_3-2-1_51JTG_2021-04-18_final
2021-04-18 11:45:57	ga_s2bm_ard_3-2-1_51JTG_2021-04-18_final
2021-04-18 11:46:03	ga_s2bm_ard_3-2-1_51JTF_2021-04-18_final
2021-04-18 11:46:10	ga_s2bm_ard_3-2-1_50JQL_2021-04-18_final
2021-04-18 11:46:25	ga_s2bm_ard_3-2-1_50HQK_2021-04-18_final
2021-04-18 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2021-04-18_final
2021-04-18 11:46:47	ga_s2bm_ard_3-2-1_50HNJ_2021-04-18_final
2021-04-18 11:46:49	ga_s2bm_ard_3-2-1_50HQH_2021-04-18_final
2021-04-18 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2021-04-18_final
2021-04-18 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2021-04-18_final
2021-04-18 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2021-04-18_final.stac-item
2021-04-18 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2021-04-18_final.stac-item
2021-04-18 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2021-04-18_final.stac-item
2021-04-18 11:47:23	ga_s2bm_ard_3-2-1_50HLG_2021-04-18_final.stac-item
2021-04-19 09:34:21	ga_s2bm_ard_3-2-1_56JLQ_2021-04-19_final
2021-04-19 09:34:24	ga_s2bm_ard_3-2-1_56JKQ_2021-04-19_final
2021-04-19 09:34:39	ga_s2bm_ard_3-2-1_56JKP_2021-04-19_final
2021-04-19 09:34:39	ga_s2bm_ard_3-2-1_56JNN_2021-04-19_final
2021-04-19 09:34:46	ga_s2bm_ard_3-2-1_55JGJ_2021-04-19_final
2021-04-19 09:34:46	ga_s2bm_ard_3-2-1_56JMN_2021-04-19_final
2021-04-19 09:34:50	ga_s2bm_ard_3-2-1_56JLN_2021-04-19_final
2021-04-19 09:35:08	ga_s2bm_ard_3-2-1_56JKM_2021-04-19_final
2021-04-19 09:35:10	ga_s2bm_ard_3-2-1_55JGG_2021-04-19_final
2021-04-19 09:35:16	ga_s2bm_ard_3-2-1_56JML_2021-04-19_final
2021-04-19 09:35:22	ga_s2bm_ard_3-2-1_56JKL_2021-04-19_final
2021-04-19 09:35:25	ga_s2bm_ard_3-2-1_55JGF_2021-04-19_final
2021-04-19 09:35:37	ga_s2bm_ard_3-2-1_56HKK_2021-04-19_final
2021-04-19 09:35:39	ga_s2bm_ard_3-2-1_55HGE_2021-04-19_final
2021-04-19 09:35:43	ga_s2bm_ard_3-2-1_56HMJ_2021-04-19_final
2021-04-19 09:35:48	ga_s2bm_ard_3-2-1_56HLJ_2021-04-19_final
2021-04-19 09:35:57	ga_s2bm_ard_3-2-1_55HFD_2021-04-19_final
2021-04-19 09:36:17	ga_s2bm_ard_3-2-1_56HLG_2021-04-19_final.stac-item
2021-04-19 09:36:26	ga_s2bm_ard_3-2-1_55HFB_2021-04-19_final
2021-04-19 09:36:45	ga_s2bm_ard_3-2-1_55HEA_2021-04-19_final
2021-04-19 09:36:51	ga_s2bm_ard_3-2-1_55HGV_2021-04-19_final
2021-04-19 09:36:55	ga_s2bm_ard_3-2-1_55HFV_2021-04-19_final
2021-04-19 09:36:59	ga_s2bm_ard_3-2-1_55HEV_2021-04-19_final
2021-04-19 09:37:06	ga_s2bm_ard_3-2-1_55HGU_2021-04-19_final.stac-item
2021-04-19 09:37:10	ga_s2bm_ard_3-2-1_55HFU_2021-04-19_final.stac-item
2021-04-19 09:37:13	ga_s2bm_ard_3-2-1_55HEU_2021-04-19_final
2021-04-19 09:37:57	ga_s2bm_ard_3-2-1_55GER_2021-04-19_final
2021-04-19 09:38:00	ga_s2bm_ard_3-2-1_55GDR_2021-04-19_final
2021-04-19 09:38:07	ga_s2bm_ard_3-2-1_55GFQ_2021-04-19_final
2021-04-19 09:38:11	ga_s2bm_ard_3-2-1_55GEQ_2021-04-19_final
2021-04-19 09:38:15	ga_s2bm_ard_3-2-1_55GDQ_2021-04-19_final
2021-04-19 09:38:21	ga_s2bm_ard_3-2-1_55GFP_2021-04-19_final
2021-04-19 09:38:26	ga_s2bm_ard_3-2-1_55GEP_2021-04-19_final
2021-04-19 09:38:30	ga_s2bm_ard_3-2-1_55GDP_2021-04-19_final
2021-04-19 09:38:35	ga_s2bm_ard_3-2-1_55GCP_2021-04-19_final
2021-04-19 09:38:36	ga_s2bm_ard_3-2-1_55GFN_2021-04-19_final
2021-04-19 09:38:40	ga_s2bm_ard_3-2-1_55GEN_2021-04-19_final
2021-04-19 09:38:44	ga_s2bm_ard_3-2-1_55GDN_2021-04-19_final
2021-04-19 09:38:48	ga_s2bm_ard_3-2-1_55GCN_2021-04-19_final
2021-04-19 09:38:55	ga_s2bm_ard_3-2-1_55GEM_2021-04-19_final.stac-item
2021-04-19 09:38:57	ga_s2bm_ard_3-2-1_55GDM_2021-04-19_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