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
2022-04-12 12:14:42	ga_s2bm_ard_3-2-1_49JFN_2022-04-12_final
2022-04-13 10:01:08	ga_s2bm_ard_3-2-1_55LCD_2022-04-13_final
2022-04-13 10:01:10	ga_s2bm_ard_3-2-1_55LFC_2022-04-13_final
2022-04-13 10:01:14	ga_s2bm_ard_3-2-1_55LEC_2022-04-13_final
2022-04-13 10:01:21	ga_s2bm_ard_3-2-1_55LCC_2022-04-13_final
2022-04-13 10:01:25	ga_s2bm_ard_3-2-1_55KFB_2022-04-13_final
2022-04-13 10:01:29	ga_s2bm_ard_3-2-1_55KEB_2022-04-13_final
2022-04-13 10:01:32	ga_s2bm_ard_3-2-1_55KDB_2022-04-13_final
2022-04-13 10:01:35	ga_s2bm_ard_3-2-1_55KCB_2022-04-13_final
2022-04-13 10:01:39	ga_s2bm_ard_3-2-1_55KFA_2022-04-13_final
2022-04-13 10:01:46	ga_s2bm_ard_3-2-1_55KDA_2022-04-13_final
2022-04-13 10:01:50	ga_s2bm_ard_3-2-1_55KCA_2022-04-13_final
2022-04-13 10:01:57	ga_s2bm_ard_3-2-1_55KEV_2022-04-13_final
2022-04-13 10:02:01	ga_s2bm_ard_3-2-1_55KDV_2022-04-13_final
2022-04-13 10:02:04	ga_s2bm_ard_3-2-1_55KCV_2022-04-13_final
2022-04-13 10:02:11	ga_s2bm_ard_3-2-1_55KBV_2022-04-13_final
2022-04-13 10:02:12	ga_s2bm_ard_3-2-1_55KEU_2022-04-13_final
2022-04-13 10:02:16	ga_s2bm_ard_3-2-1_55KDU_2022-04-13_final
2022-04-13 10:02:19	ga_s2bm_ard_3-2-1_55KCU_2022-04-13_final
2022-04-13 10:02:23	ga_s2bm_ard_3-2-1_55KBU_2022-04-13_final
2022-04-13 10:02:33	ga_s2bm_ard_3-2-1_55KCT_2022-04-13_final
2022-04-13 10:02:36	ga_s2bm_ard_3-2-1_55KBT_2022-04-13_final
2022-04-13 10:02:38	ga_s2bm_ard_3-2-1_54KZC_2022-04-13_final
2022-04-13 10:02:51	ga_s2bm_ard_3-2-1_54KZB_2022-04-13_final
2022-04-13 10:03:02	ga_s2bm_ard_3-2-1_55KCR_2022-04-13_final
2022-04-13 10:03:05	ga_s2bm_ard_3-2-1_55KEQ_2022-04-13_final
2022-04-13 10:03:06	ga_s2bm_ard_3-2-1_54KZA_2022-04-13_final
2022-04-13 10:03:13	ga_s2bm_ard_3-2-1_55KDQ_2022-04-13_final
2022-04-13 10:03:17	ga_s2bm_ard_3-2-1_55KCQ_2022-04-13_final
2022-04-13 10:03:20	ga_s2bm_ard_3-2-1_54KZV_2022-04-13_final
2022-04-13 10:03:35	ga_s2bm_ard_3-2-1_54KZU_2022-04-13_final
2022-04-13 10:03:46	ga_s2bm_ard_3-2-1_55JCN_2022-04-13_final
2022-04-13 10:03:49	ga_s2bm_ard_3-2-1_54JZT_2022-04-13_final
2022-04-13 10:04:04	ga_s2bm_ard_3-2-1_54JZS_2022-04-13_final
2022-04-13 10:06:00	ga_s2bm_ard_3-2-1_55HBD_2022-04-13_final
2022-04-13 10:06:03	ga_s2bm_ard_3-2-1_54HYJ_2022-04-13_final
2022-04-13 10:06:07	ga_s2bm_ard_3-2-1_54HXJ_2022-04-13_final
2022-04-13 10:06:10	ga_s2bm_ard_3-2-1_54HWJ_2022-04-13_final
2022-04-13 10:06:15	ga_s2bm_ard_3-2-1_55HBC_2022-04-13_final
2022-04-13 10:06:17	ga_s2bm_ard_3-2-1_54HYH_2022-04-13_final
2022-04-13 10:06:25	ga_s2bm_ard_3-2-1_54HWH_2022-04-13_final
2022-04-13 10:06:27	ga_s2bm_ard_3-2-1_55HBB_2022-04-13_final
2022-04-13 10:06:28	ga_s2bm_ard_3-2-1_54HYG_2022-04-13_final
2022-04-13 10:06:30	ga_s2bm_ard_3-2-1_54HVH_2022-04-13_final
2022-04-13 10:06:32	ga_s2bm_ard_3-2-1_54HWH_2022-04-13_final
2022-04-13 10:06:34	ga_s2bm_ard_3-2-1_55HBB_2022-04-13_final
2022-04-13 10:06:34	ga_s2bm_ard_3-2-1_54HVH_2022-04-13_final
2022-04-13 10:06:34	ga_s2bm_ard_3-2-1_54HVG_2022-04-13_final
2022-04-13 10:06:35	ga_s2bm_ard_3-2-1_54HYG_2022-04-13_final
2022-04-13 10:06:54	ga_s2bm_ard_3-2-1_54HWF_2022-04-13_final
2022-04-13 10:06:57	ga_s2bm_ard_3-2-1_54HVF_2022-04-13_final
2022-04-13 10:07:33	ga_s2bm_ard_3-2-1_54HXC_2022-04-13_final
2022-04-13 10:07:37	ga_s2bm_ard_3-2-1_54HWC_2022-04-13_final
2022-04-13 10:07:40	ga_s2bm_ard_3-2-1_54HVC_2022-04-13_final.stac-item
2022-04-13 11:40:54	ga_s2bm_ard_3-2-1_51LWG_2022-04-13_final.stac-item
2022-04-13 11:40:57	ga_s2bm_ard_3-2-1_51LVG_2022-04-13_final
2022-04-13 11:41:11	ga_s2bm_ard_3-2-1_51LVF_2022-04-13_final
2022-04-13 11:41:15	ga_s2bm_ard_3-2-1_51LUF_2022-04-13_final
2022-04-13 11:41:44	ga_s2bm_ard_3-2-1_51LUD_2022-04-13_final.stac-item
2022-04-13 11:41:52	ga_s2bm_ard_3-2-1_51LWC_2022-04-13_final
2022-04-13 11:41:55	ga_s2bm_ard_3-2-1_51LVC_2022-04-13_final
2022-04-13 11:41:58	ga_s2bm_ard_3-2-1_51LUC_2022-04-13_final.stac-item
2022-04-13 11:42:06	ga_s2bm_ard_3-2-1_51KWB_2022-04-13_final
2022-04-13 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2022-04-13_final
2022-04-13 11:42:13	ga_s2bm_ard_3-2-1_51KUB_2022-04-13_final.stac-item
2022-04-13 11:42:18	ga_s2bm_ard_3-2-1_51KWA_2022-04-13_final
2022-04-13 11:42:28	ga_s2bm_ard_3-2-1_51KUA_2022-04-13_final
2022-04-13 11:42:38	ga_s2bm_ard_3-2-1_51KVV_2022-04-13_final
2022-04-13 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2022-04-13_final
2022-04-13 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2022-04-13_final
2022-04-13 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2022-04-13_final
2022-04-13 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2022-04-13_final
2022-04-13 11:43:00	ga_s2bm_ard_3-2-1_50KRD_2022-04-13_final
2022-04-13 11:43:05	ga_s2bm_ard_3-2-1_50KQD_2022-04-13_final.stac-item
2022-04-13 11:43:11	ga_s2bm_ard_3-2-1_51KUT_2022-04-13_final
2022-04-13 11:43:14	ga_s2bm_ard_3-2-1_51KTT_2022-04-13_final
2022-04-13 11:43:15	ga_s2bm_ard_3-2-1_50KRC_2022-04-13_final
2022-04-13 11:43:18	ga_s2bm_ard_3-2-1_50KQC_2022-04-13_final
2022-04-13 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2022-04-13_final
2022-04-13 11:43:26	ga_s2bm_ard_3-2-1_51KUS_2022-04-13_final
2022-04-13 11:43:29	ga_s2bm_ard_3-2-1_51KTS_2022-04-13_final
2022-04-13 11:43:29	ga_s2bm_ard_3-2-1_50KRB_2022-04-13_final
2022-04-13 11:43:33	ga_s2bm_ard_3-2-1_50KQB_2022-04-13_final
2022-04-13 11:43:40	ga_s2bm_ard_3-2-1_51KUR_2022-04-13_final
2022-04-13 11:43:44	ga_s2bm_ard_3-2-1_50KRA_2022-04-13_final
2022-04-13 11:43:55	ga_s2bm_ard_3-2-1_51KUQ_2022-04-13_final
2022-04-13 11:43:58	ga_s2bm_ard_3-2-1_50KRV_2022-04-13_final
2022-04-13 11:44:07	ga_s2bm_ard_3-2-1_50KPV_2022-04-13_final
2022-04-13 11:44:13	ga_s2bm_ard_3-2-1_50KRU_2022-04-13_final
2022-04-13 11:44:24	ga_s2bm_ard_3-2-1_51JUN_2022-04-13_final
2022-04-13 11:44:27	ga_s2bm_ard_3-2-1_50JRT_2022-04-13_final
2022-04-13 11:44:34	ga_s2bm_ard_3-2-1_50JPT_2022-04-13_final
2022-04-13 11:44:41	ga_s2bm_ard_3-2-1_50JRS_2022-04-13_final
2022-04-13 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2022-04-13_final
2022-04-13 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2022-04-13_final
2022-04-13 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2022-04-13_final
2022-04-13 11:46:50	ga_s2bm_ard_3-2-1_50HQH_2022-04-13_final
2022-04-13 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2022-04-13_final
2022-04-13 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2022-04-13_final
2022-04-13 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2022-04-13_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