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
2019-08-30 11:55:06	ga_s2bm_ard_3-2-1_50JPR_2019-08-30_final
2019-08-30 11:55:10	ga_s2bm_ard_3-2-1_50JNR_2019-08-30_final
2019-08-30 11:55:13	ga_s2bm_ard_3-2-1_50JMR_2019-08-30_final
2019-08-30 11:55:16	ga_s2bm_ard_3-2-1_50JLR_2019-08-30_final
2019-08-30 11:55:30	ga_s2bm_ard_3-2-1_50JPP_2019-08-30_final
2019-08-30 11:55:39	ga_s2bm_ard_3-2-1_50JNP_2019-08-30_final
2019-08-30 11:55:42	ga_s2bm_ard_3-2-1_50JMP_2019-08-30_final
2019-08-30 11:55:46	ga_s2bm_ard_3-2-1_50JLP_2019-08-30_final
2019-08-30 11:55:50	ga_s2bm_ard_3-2-1_50JKP_2019-08-30_final
2019-08-30 11:55:53	ga_s2bm_ard_3-2-1_50JNN_2019-08-30_final
2019-08-30 11:55:57	ga_s2bm_ard_3-2-1_50JMN_2019-08-30_final
2019-08-30 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2019-08-30_final
2019-08-30 11:56:08	ga_s2bm_ard_3-2-1_50JNM_2019-08-30_final
2019-08-30 11:56:11	ga_s2bm_ard_3-2-1_50JMM_2019-08-30_final
2019-08-30 11:56:18	ga_s2bm_ard_3-2-1_50JKM_2019-08-30_final
2019-08-30 11:56:22	ga_s2bm_ard_3-2-1_50JNL_2019-08-30_final
2019-08-30 11:56:26	ga_s2bm_ard_3-2-1_50JML_2019-08-30_final
2019-08-30 11:56:29	ga_s2bm_ard_3-2-1_50JLL_2019-08-30_final
2019-08-30 11:57:24	ga_s2bm_ard_3-2-1_50HMG_2019-08-30_final.stac-item
2019-08-31 09:42:46	ga_s2bm_ard_3-2-1_56KKB_2019-08-31_final
2019-08-31 09:42:47	ga_s2bm_ard_3-2-1_55KHS_2019-08-31_final
2019-08-31 09:42:50	ga_s2bm_ard_3-2-1_55KGS_2019-08-31_final
2019-08-31 09:42:58	ga_s2bm_ard_3-2-1_56KLA_2019-08-31_final
2019-08-31 09:43:01	ga_s2bm_ard_3-2-1_56KKA_2019-08-31_final
2019-08-31 09:43:05	ga_s2bm_ard_3-2-1_55KGR_2019-08-31_final
2019-08-31 09:43:12	ga_s2bm_ard_3-2-1_56KLV_2019-08-31_final
2019-08-31 09:43:16	ga_s2bm_ard_3-2-1_55KHQ_2019-08-31_final
2019-08-31 09:43:19	ga_s2bm_ard_3-2-1_55KGQ_2019-08-31_final
2019-08-31 09:43:27	ga_s2bm_ard_3-2-1_56KLU_2019-08-31_final
2019-08-31 09:43:41	ga_s2bm_ard_3-2-1_56JLT_2019-08-31_final
2019-08-31 09:43:45	ga_s2bm_ard_3-2-1_55JHN_2019-08-31_final
2019-08-31 09:43:51	ga_s2bm_ard_3-2-1_55JFN_2019-08-31_final
2019-08-31 09:44:09	ga_s2bm_ard_3-2-1_56JLR_2019-08-31_final
2019-08-31 09:44:17	ga_s2bm_ard_3-2-1_55JGL_2019-08-31_final
2019-08-31 09:44:21	ga_s2bm_ard_3-2-1_55JFL_2019-08-31_final
2019-08-31 09:44:29	ga_s2bm_ard_3-2-1_55JEL_2019-08-31_final
2019-08-31 09:44:43	ga_s2bm_ard_3-2-1_56JKP_2019-08-31_final
2019-08-31 09:44:46	ga_s2bm_ard_3-2-1_55JGJ_2019-08-31_final
2019-08-31 09:44:50	ga_s2bm_ard_3-2-1_55JFJ_2019-08-31_final
2019-08-31 09:44:58	ga_s2bm_ard_3-2-1_56JKN_2019-08-31_final
2019-08-31 09:45:01	ga_s2bm_ard_3-2-1_55JGH_2019-08-31_final
2019-08-31 09:45:08	ga_s2bm_ard_3-2-1_55JEH_2019-08-31_final
2019-08-31 09:45:12	ga_s2bm_ard_3-2-1_56JKM_2019-08-31_final
2019-08-31 09:45:15	ga_s2bm_ard_3-2-1_55JGG_2019-08-31_final
2019-08-31 09:45:22	ga_s2bm_ard_3-2-1_55JEG_2019-08-31_final
2019-08-31 09:45:30	ga_s2bm_ard_3-2-1_55JDG_2019-08-31_final
2019-08-31 09:45:36	ga_s2bm_ard_3-2-1_56HKK_2019-08-31_final
2019-08-31 09:46:21	ga_s2bm_ard_3-2-1_55HGB_2019-08-31_final
2019-08-31 09:46:35	ga_s2bm_ard_3-2-1_55HEB_2019-08-31_final
2019-08-31 09:46:38	ga_s2bm_ard_3-2-1_55HDB_2019-08-31_final
2019-08-31 09:46:45	ga_s2bm_ard_3-2-1_55HFA_2019-08-31_final
2019-08-31 09:46:56	ga_s2bm_ard_3-2-1_55HCA_2019-08-31_final
2019-08-31 09:47:11	ga_s2bm_ard_3-2-1_55HCV_2019-08-31_final
2019-08-31 09:47:59	ga_s2bm_ard_3-2-1_54HYB_2019-08-31_final
2019-08-31 09:48:05	ga_s2bm_ard_3-2-1_55GDR_2019-08-31_final
2019-08-31 09:48:09	ga_s2bm_ard_3-2-1_55GCR_2019-08-31_final
2019-08-31 09:48:12	ga_s2bm_ard_3-2-1_55GBR_2019-08-31_final
2019-08-31 09:48:12	ga_s2bm_ard_3-2-1_54GYA_2019-08-31_final
2019-08-31 09:48:15	ga_s2bm_ard_3-2-1_55GEQ_2019-08-31_final
2019-08-31 09:48:20	ga_s2bm_ard_3-2-1_55GDQ_2019-08-31_final
2019-08-31 09:48:23	ga_s2bm_ard_3-2-1_55GCQ_2019-08-31_final
2019-08-31 09:48:26	ga_s2bm_ard_3-2-1_55GEP_2019-08-31_final
2019-08-31 09:48:27	ga_s2bm_ard_3-2-1_55GBQ_2019-08-31_final.stac-item
2019-08-31 09:48:27	ga_s2bm_ard_3-2-1_54GYV_2019-08-31_final.stac-item
2019-08-31 09:48:34	ga_s2bm_ard_3-2-1_55GDP_2019-08-31_final
2019-08-31 09:48:38	ga_s2bm_ard_3-2-1_55GCP_2019-08-31_final
2019-08-31 11:21:25	ga_s2bm_ard_3-2-1_52LCK_2019-08-31_final.stac-item
2019-08-31 11:22:41	ga_s2bm_ard_3-2-1_52KBE_2019-08-31_final
2019-08-31 11:22:41	ga_s2bm_ard_3-2-1_51KZV_2019-08-31_final
2019-08-31 11:22:45	ga_s2bm_ard_3-2-1_51KYV_2019-08-31_final
2019-08-31 11:23:06	ga_s2bm_ard_3-2-1_52KCC_2019-08-31_final
2019-08-31 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2019-08-31_final
2019-08-31 11:23:24	ga_s2bm_ard_3-2-1_52KBB_2019-08-31_final
2019-08-31 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2019-08-31_final
2019-08-31 11:23:28	ga_s2bm_ard_3-2-1_51KYS_2019-08-31_final
2019-08-31 11:23:31	ga_s2bm_ard_3-2-1_52KCA_2019-08-31_final
2019-08-31 11:23:46	ga_s2bm_ard_3-2-1_51KXR_2019-08-31_final
2019-08-31 11:24:01	ga_s2bm_ard_3-2-1_51KXQ_2019-08-31_final
2019-08-31 11:24:22	ga_s2bm_ard_3-2-1_51JZN_2019-08-31_final
2019-08-31 11:24:30	ga_s2bm_ard_3-2-1_51JXN_2019-08-31_final
2019-08-31 11:24:36	ga_s2bm_ard_3-2-1_52JBS_2019-08-31_final
2019-08-31 11:24:59	ga_s2bm_ard_3-2-1_51JXL_2019-08-31_final
2019-08-31 11:25:17	ga_s2bm_ard_3-2-1_51JWK_2019-08-31_final
2019-08-31 11:25:20	ga_s2bm_ard_3-2-1_51JVK_2019-08-31_final
2019-08-31 11:25:24	ga_s2bm_ard_3-2-1_51JYJ_2019-08-31_final
2019-08-31 11:25:28	ga_s2bm_ard_3-2-1_51JXJ_2019-08-31_final
2019-08-31 11:25:31	ga_s2bm_ard_3-2-1_51JWJ_2019-08-31_final
2019-08-31 11:25:34	ga_s2bm_ard_3-2-1_51JVJ_2019-08-31_final
2019-08-31 11:25:38	ga_s2bm_ard_3-2-1_51JYH_2019-08-31_final
2019-08-31 11:25:46	ga_s2bm_ard_3-2-1_51JWH_2019-08-31_final
2019-08-31 11:25:49	ga_s2bm_ard_3-2-1_51JYG_2019-08-31_final
2019-08-31 11:25:49	ga_s2bm_ard_3-2-1_51JVH_2019-08-31_final
2019-08-31 11:26:00	ga_s2bm_ard_3-2-1_51JWG_2019-08-31_final
2019-08-31 11:26:04	ga_s2bm_ard_3-2-1_51JVG_2019-08-31_final
2019-08-31 11:26:11	ga_s2bm_ard_3-2-1_51JXF_2019-08-31_final
2019-08-31 11:26:15	ga_s2bm_ard_3-2-1_51JWF_2019-08-31_final
2019-08-31 11:26:18	ga_s2bm_ard_3-2-1_51JVF_2019-08-31_final
2019-08-31 11:26:21	ga_s2bm_ard_3-2-1_51JUF_2019-08-31_final
2019-08-31 11:27:14	ga_s2bm_ard_3-2-1_51HVB_2019-08-31_final.stac-item
2019-08-31 11:27:16	ga_s2bm_ard_3-2-1_51HUB_2019-08-31_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