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
2021-08-15 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2021-08-15_final
2021-08-15 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2021-08-15_final
2021-08-15 12:14:31	ga_s2bm_ard_3-2-1_49JHN_2021-08-15_final
2021-08-15 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2021-08-15_final
2021-08-15 12:15:03	ga_s2bm_ard_3-2-1_49JFM_2021-08-15_final
2021-08-16 10:01:43	ga_s2bm_ard_3-2-1_55KFA_2021-08-16_final
2021-08-16 10:01:53	ga_s2bm_ard_3-2-1_55KCA_2021-08-16_final
2021-08-16 10:02:26	ga_s2bm_ard_3-2-1_55KBU_2021-08-16_final
2021-08-16 10:02:37	ga_s2bm_ard_3-2-1_55KCT_2021-08-16_final
2021-08-16 10:02:42	ga_s2bm_ard_3-2-1_54KZC_2021-08-16_final
2021-08-16 10:02:45	ga_s2bm_ard_3-2-1_55KES_2021-08-16_final
2021-08-16 10:02:48	ga_s2bm_ard_3-2-1_55KDS_2021-08-16_final
2021-08-16 10:02:51	ga_s2bm_ard_3-2-1_55KCS_2021-08-16_final
2021-08-16 10:02:55	ga_s2bm_ard_3-2-1_54KZB_2021-08-16_final
2021-08-16 10:03:09	ga_s2bm_ard_3-2-1_54KZA_2021-08-16_final
2021-08-16 10:03:24	ga_s2bm_ard_3-2-1_54KZV_2021-08-16_final
2021-08-16 10:03:38	ga_s2bm_ard_3-2-1_54KZU_2021-08-16_final
2021-08-16 10:03:53	ga_s2bm_ard_3-2-1_54JZT_2021-08-16_final
2021-08-16 10:04:04	ga_s2bm_ard_3-2-1_55JCM_2021-08-16_final
2021-08-16 10:04:07	ga_s2bm_ard_3-2-1_54JZS_2021-08-16_final
2021-08-16 10:04:13	ga_s2bm_ard_3-2-1_55JDL_2021-08-16_final
2021-08-16 10:04:18	ga_s2bm_ard_3-2-1_55JCL_2021-08-16_final
2021-08-16 10:04:23	ga_s2bm_ard_3-2-1_55JDK_2021-08-16_final
2021-08-16 10:04:32	ga_s2bm_ard_3-2-1_54JXR_2021-08-16_final
2021-08-16 10:04:48	ga_s2bm_ard_3-2-1_55JCJ_2021-08-16_final
2021-08-16 10:04:57	ga_s2bm_ard_3-2-1_54JXP_2021-08-16_final
2021-08-16 10:05:06	ga_s2bm_ard_3-2-1_55JBH_2021-08-16_final
2021-08-16 10:05:08	ga_s2bm_ard_3-2-1_54JYN_2021-08-16_final
2021-08-16 10:05:33	ga_s2bm_ard_3-2-1_54JWM_2021-08-16_final
2021-08-16 10:05:41	ga_s2bm_ard_3-2-1_54JXL_2021-08-16_final
2021-08-16 10:05:59	ga_s2bm_ard_3-2-1_54HWK_2021-08-16_final
2021-08-16 10:06:04	ga_s2bm_ard_3-2-1_55HBD_2021-08-16_final
2021-08-16 10:06:06	ga_s2bm_ard_3-2-1_54HYJ_2021-08-16_final
2021-08-16 10:06:19	ga_s2bm_ard_3-2-1_55HBC_2021-08-16_final
2021-08-16 10:06:20	ga_s2bm_ard_3-2-1_54HYH_2021-08-16_final
2021-08-16 10:06:28	ga_s2bm_ard_3-2-1_54HWH_2021-08-16_final
2021-08-16 10:06:30	ga_s2bm_ard_3-2-1_55HBB_2021-08-16_final
2021-08-16 10:06:32	ga_s2bm_ard_3-2-1_54HYG_2021-08-16_final
2021-08-16 10:06:33	ga_s2bm_ard_3-2-1_54HVH_2021-08-16_final
2021-08-16 10:06:35	ga_s2bm_ard_3-2-1_54HWH_2021-08-16_final
2021-08-16 10:06:35	ga_s2bm_ard_3-2-1_54HWG_2021-08-16_final
2021-08-16 10:06:37	ga_s2bm_ard_3-2-1_55HBB_2021-08-16_final
2021-08-16 10:06:37	ga_s2bm_ard_3-2-1_54HVH_2021-08-16_final
2021-08-16 10:06:37	ga_s2bm_ard_3-2-1_54HVG_2021-08-16_final
2021-08-16 10:06:38	ga_s2bm_ard_3-2-1_54HYG_2021-08-16_final
2021-08-16 10:06:43	ga_s2bm_ard_3-2-1_54HWG_2021-08-16_final
2021-08-16 10:06:46	ga_s2bm_ard_3-2-1_55HBA_2021-08-16_final
2021-08-16 10:06:46	ga_s2bm_ard_3-2-1_54HVG_2021-08-16_final
2021-08-16 10:06:49	ga_s2bm_ard_3-2-1_54HYF_2021-08-16_final
2021-08-16 10:06:53	ga_s2bm_ard_3-2-1_54HXF_2021-08-16_final
2021-08-16 10:06:56	ga_s2bm_ard_3-2-1_55HBV_2021-08-16_final
2021-08-16 10:06:57	ga_s2bm_ard_3-2-1_54HWF_2021-08-16_final
2021-08-16 10:07:00	ga_s2bm_ard_3-2-1_54HVF_2021-08-16_final
2021-08-16 10:07:03	ga_s2bm_ard_3-2-1_54HYE_2021-08-16_final
2021-08-16 10:07:08	ga_s2bm_ard_3-2-1_54HXE_2021-08-16_final
2021-08-16 10:07:11	ga_s2bm_ard_3-2-1_54HWE_2021-08-16_final
2021-08-16 10:07:15	ga_s2bm_ard_3-2-1_54HVE_2021-08-16_final
2021-08-16 11:40:57	ga_s2bm_ard_3-2-1_51LWG_2021-08-16_final.stac-item
2021-08-16 11:41:01	ga_s2bm_ard_3-2-1_51LVG_2021-08-16_final
2021-08-16 11:41:15	ga_s2bm_ard_3-2-1_51LVF_2021-08-16_final
2021-08-16 11:41:18	ga_s2bm_ard_3-2-1_51LUF_2021-08-16_final
2021-08-16 11:41:47	ga_s2bm_ard_3-2-1_51LUD_2021-08-16_final.stac-item
2021-08-16 11:42:31	ga_s2bm_ard_3-2-1_51KUA_2021-08-16_final
2021-08-16 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2021-08-16_final
2021-08-16 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2021-08-16_final
2021-08-16 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2021-08-16_final
2021-08-16 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2021-08-16_final
2021-08-16 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2021-08-16_final
2021-08-16 11:43:22	ga_s2bm_ard_3-2-1_50KQC_2021-08-16_final
2021-08-16 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2021-08-16_final
2021-08-16 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2021-08-16_final
2021-08-16 11:43:47	ga_s2bm_ard_3-2-1_50KRA_2021-08-16_final
2021-08-16 11:44:02	ga_s2bm_ard_3-2-1_50KRV_2021-08-16_final
2021-08-16 11:44:16	ga_s2bm_ard_3-2-1_50KRU_2021-08-16_final
2021-08-16 11:44:31	ga_s2bm_ard_3-2-1_50JRT_2021-08-16_final
2021-08-16 11:44:38	ga_s2bm_ard_3-2-1_50JPT_2021-08-16_final
2021-08-16 11:44:41	ga_s2bm_ard_3-2-1_51JUM_2021-08-16_final
2021-08-16 11:44:45	ga_s2bm_ard_3-2-1_50JRS_2021-08-16_final
2021-08-16 11:44:51	ga_s2bm_ard_3-2-1_51JUL_2021-08-16_final
2021-08-16 11:44:52	ga_s2bm_ard_3-2-1_50JPS_2021-08-16_final
2021-08-16 11:45:07	ga_s2bm_ard_3-2-1_50JPR_2021-08-16_final
2021-08-16 11:45:11	ga_s2bm_ard_3-2-1_50JNR_2021-08-16_final
2021-08-16 11:45:24	ga_s2bm_ard_3-2-1_50JNQ_2021-08-16_final
2021-08-16 11:45:36	ga_s2bm_ard_3-2-1_50JPP_2021-08-16_final
2021-08-16 11:45:39	ga_s2bm_ard_3-2-1_50JNP_2021-08-16_final
2021-08-16 11:45:43	ga_s2bm_ard_3-2-1_51JTH_2021-08-16_final
2021-08-16 11:45:46	ga_s2bm_ard_3-2-1_50JQN_2021-08-16_final
2021-08-16 11:46:01	ga_s2bm_ard_3-2-1_50JNM_2021-08-16_final
2021-08-16 11:46:08	ga_s2bm_ard_3-2-1_50JNM_2021-08-16_final
2021-08-16 11:46:13	ga_s2bm_ard_3-2-1_50JMM_2021-08-16_final
2021-08-16 11:46:19	ga_s2bm_ard_3-2-1_50JPL_2021-08-16_final
2021-08-16 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2021-08-16_final
2021-08-16 11:46:26	ga_s2bm_ard_3-2-1_50JML_2021-08-16_final
2021-08-16 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2021-08-16_final
2021-08-16 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2021-08-16_final
2021-08-16 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2021-08-16_final
2021-08-16 11:46:53	ga_s2bm_ard_3-2-1_50HQH_2021-08-16_final
2021-08-16 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2021-08-16_final
2021-08-16 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2021-08-16_final
2021-08-16 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2021-08-16_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