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
2019-03-10 10:07:32	ga_s2bm_ard_3-2-1_54HUD_2019-03-10_final.stac-item
2019-03-10 11:41:45	ga_s2bm_ard_3-2-1_51LUD_2019-03-10_final.stac-item
2019-03-10 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2019-03-10_final
2019-03-10 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2019-03-10_final
2019-03-10 11:42:14	ga_s2bm_ard_3-2-1_51KUB_2019-03-10_final.stac-item
2019-03-10 11:42:19	ga_s2bm_ard_3-2-1_51KWA_2019-03-10_final
2019-03-10 11:42:25	ga_s2bm_ard_3-2-1_51KVA_2019-03-10_final
2019-03-10 11:42:28	ga_s2bm_ard_3-2-1_51KUA_2019-03-10_final
2019-03-10 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2019-03-10_final
2019-03-10 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2019-03-10_final
2019-03-10 11:43:26	ga_s2bm_ard_3-2-1_51KUS_2019-03-10_final
2019-03-10 11:43:30	ga_s2bm_ard_3-2-1_50KRB_2019-03-10_final
2019-03-10 11:43:45	ga_s2bm_ard_3-2-1_50KRA_2019-03-10_final
2019-03-10 11:43:59	ga_s2bm_ard_3-2-1_50KRV_2019-03-10_final
2019-03-10 11:44:03	ga_s2bm_ard_3-2-1_50KQV_2019-03-10_final
2019-03-10 11:44:10	ga_s2bm_ard_3-2-1_51KUP_2019-03-10_final
2019-03-10 11:44:13	ga_s2bm_ard_3-2-1_50KRU_2019-03-10_final
2019-03-10 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2019-03-10_final
2019-03-10 11:44:42	ga_s2bm_ard_3-2-1_50JRS_2019-03-10_final
2019-03-10 11:44:49	ga_s2bm_ard_3-2-1_51JUL_2019-03-10_final
2019-03-10 11:44:57	ga_s2bm_ard_3-2-1_51JTL_2019-03-10_final
2019-03-10 11:45:01	ga_s2bm_ard_3-2-1_50JQR_2019-03-10_final
2019-03-10 11:45:04	ga_s2bm_ard_3-2-1_50JPR_2019-03-10_final
2019-03-10 11:45:09	ga_s2bm_ard_3-2-1_50JNR_2019-03-10_final
2019-03-10 11:45:12	ga_s2bm_ard_3-2-1_51JTK_2019-03-10_final
2019-03-10 11:45:15	ga_s2bm_ard_3-2-1_50JQQ_2019-03-10_final
2019-03-10 11:45:22	ga_s2bm_ard_3-2-1_50JNQ_2019-03-10_final
2019-03-10 11:45:33	ga_s2bm_ard_3-2-1_50JPP_2019-03-10_final
2019-03-10 11:45:36	ga_s2bm_ard_3-2-1_50JNP_2019-03-10_final
2019-03-10 11:45:41	ga_s2bm_ard_3-2-1_51JTH_2019-03-10_final
2019-03-10 11:45:44	ga_s2bm_ard_3-2-1_50JQN_2019-03-10_final
2019-03-10 11:45:54	ga_s2bm_ard_3-2-1_51JTG_2019-03-10_final
2019-03-10 11:45:58	ga_s2bm_ard_3-2-1_50JQM_2019-03-10_final
2019-03-10 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2019-03-10_final
2019-03-10 11:46:10	ga_s2bm_ard_3-2-1_50JMM_2019-03-10_final
2019-03-10 11:46:16	ga_s2bm_ard_3-2-1_50JPL_2019-03-10_final
2019-03-10 11:46:20	ga_s2bm_ard_3-2-1_50JNL_2019-03-10_final
2019-03-10 11:46:23	ga_s2bm_ard_3-2-1_50JML_2019-03-10_final
2019-03-10 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2019-03-10_final
2019-03-10 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2019-03-10_final
2019-03-10 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2019-03-10_final
2019-03-10 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2019-03-10_final
2019-03-10 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2019-03-10_final
2019-03-10 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2019-03-10_final
2019-03-10 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2019-03-10_final
2019-03-10 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2019-03-10_final
2019-03-10 11:47:18	ga_s2bm_ard_3-2-1_50HNG_2019-03-10_final.stac-item
2019-03-10 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2019-03-10_final.stac-item
2019-03-11 09:33:58	ga_s2bm_ard_3-2-1_55JHM_2019-03-11_final
2019-03-11 09:34:02	ga_s2bm_ard_3-2-1_56JNR_2019-03-11_final.stac-item
2019-03-11 09:34:05	ga_s2bm_ard_3-2-1_56JMR_2019-03-11_final
2019-03-11 09:34:09	ga_s2bm_ard_3-2-1_56JLR_2019-03-11_final
2019-03-11 09:34:12	ga_s2bm_ard_3-2-1_56JKR_2019-03-11_final
2019-03-11 09:34:16	ga_s2bm_ard_3-2-1_56JNQ_2019-03-11_final.stac-item
2019-03-11 09:34:20	ga_s2bm_ard_3-2-1_56JMQ_2019-03-11_final
2019-03-11 09:34:30	ga_s2bm_ard_3-2-1_56JNP_2019-03-11_final.stac-item
2019-03-11 09:34:34	ga_s2bm_ard_3-2-1_56JMP_2019-03-11_final
2019-03-11 09:34:38	ga_s2bm_ard_3-2-1_56JLP_2019-03-11_final
2019-03-11 09:34:49	ga_s2bm_ard_3-2-1_56JMN_2019-03-11_final
2019-03-11 09:34:56	ga_s2bm_ard_3-2-1_56JKN_2019-03-11_final
2019-03-11 09:34:59	ga_s2bm_ard_3-2-1_55JGH_2019-03-11_final
2019-03-11 09:35:03	ga_s2bm_ard_3-2-1_56JMM_2019-03-11_final
2019-03-11 09:35:10	ga_s2bm_ard_3-2-1_56JKM_2019-03-11_final
2019-03-11 09:35:12	ga_s2bm_ard_3-2-1_55JGG_2019-03-11_final
2019-03-11 09:35:18	ga_s2bm_ard_3-2-1_56JML_2019-03-11_final
2019-03-11 09:35:22	ga_s2bm_ard_3-2-1_56JLL_2019-03-11_final
2019-03-11 09:35:32	ga_s2bm_ard_3-2-1_56HMK_2019-03-11_final
2019-03-11 09:35:39	ga_s2bm_ard_3-2-1_56HKK_2019-03-11_final
2019-03-11 09:35:42	ga_s2bm_ard_3-2-1_55HGE_2019-03-11_final
2019-03-11 09:35:54	ga_s2bm_ard_3-2-1_56HKJ_2019-03-11_final
2019-03-11 09:35:56	ga_s2bm_ard_3-2-1_55HGD_2019-03-11_final
2019-03-11 09:36:09	ga_s2bm_ard_3-2-1_56HKH_2019-03-11_final
2019-03-11 09:36:10	ga_s2bm_ard_3-2-1_55HGC_2019-03-11_final
2019-03-11 09:36:23	ga_s2bm_ard_3-2-1_56HKG_2019-03-11_final
2019-03-11 09:36:25	ga_s2bm_ard_3-2-1_55HGB_2019-03-11_final
2019-03-11 09:36:38	ga_s2bm_ard_3-2-1_56HKF_2019-03-11_final
2019-03-11 09:36:39	ga_s2bm_ard_3-2-1_55HGA_2019-03-11_final
2019-03-11 09:36:43	ga_s2bm_ard_3-2-1_55HFA_2019-03-11_final
2019-03-11 09:36:48	ga_s2bm_ard_3-2-1_55HEA_2019-03-11_final
2019-03-11 09:36:54	ga_s2bm_ard_3-2-1_55HGV_2019-03-11_final
2019-03-11 09:36:57	ga_s2bm_ard_3-2-1_55HFV_2019-03-11_final
2019-03-11 09:37:01	ga_s2bm_ard_3-2-1_55HEV_2019-03-11_final
2019-03-11 09:37:12	ga_s2bm_ard_3-2-1_55HFU_2019-03-11_final.stac-item
2019-03-11 09:37:41	ga_s2bm_ard_3-2-1_55HFS_2019-03-11_final.stac-item
2019-03-11 09:37:45	ga_s2bm_ard_3-2-1_55HES_2019-03-11_final
2019-03-11 09:37:49	ga_s2bm_ard_3-2-1_55HDS_2019-03-11_final
2019-03-11 09:37:55	ga_s2bm_ard_3-2-1_55GFR_2019-03-11_final
2019-03-11 09:37:59	ga_s2bm_ard_3-2-1_55GER_2019-03-11_final
2019-03-11 09:38:02	ga_s2bm_ard_3-2-1_55GDR_2019-03-11_final
2019-03-11 09:38:10	ga_s2bm_ard_3-2-1_55GFQ_2019-03-11_final
2019-03-11 09:38:13	ga_s2bm_ard_3-2-1_55GEQ_2019-03-11_final
2019-03-11 09:38:16	ga_s2bm_ard_3-2-1_55GDQ_2019-03-11_final
2019-03-11 09:38:19	ga_s2bm_ard_3-2-1_55GFP_2019-03-11_final
2019-03-11 09:38:21	ga_s2bm_ard_3-2-1_55GEQ_2019-03-11_final
2019-03-11 09:38:21	ga_s2bm_ard_3-2-1_55GEP_2019-03-11_final
2019-03-11 09:38:22	ga_s2bm_ard_3-2-1_55GDP_2019-03-11_final
2019-03-11 09:38:23	ga_s2bm_ard_3-2-1_55GDQ_2019-03-11_final
2019-03-11 09:38:26	ga_s2bm_ard_3-2-1_55GFP_2019-03-11_final
2019-03-11 09:38:28	ga_s2bm_ard_3-2-1_55GEP_2019-03-11_final
2019-03-11 09:38:32	ga_s2bm_ard_3-2-1_55GDP_2019-03-11_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years