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
2020-09-24 09:44:20	ga_s2bm_ard_3-2-1_55JFL_2020-09-24_final
2020-09-24 09:44:27	ga_s2bm_ard_3-2-1_56JKQ_2020-09-24_final
2020-09-24 09:44:27	ga_s2bm_ard_3-2-1_55JEL_2020-09-24_final
2020-09-24 09:44:31	ga_s2bm_ard_3-2-1_55JGK_2020-09-24_final
2020-09-24 09:44:38	ga_s2bm_ard_3-2-1_55JEK_2020-09-24_final
2020-09-24 09:44:45	ga_s2bm_ard_3-2-1_55JGJ_2020-09-24_final
2020-09-24 09:44:48	ga_s2bm_ard_3-2-1_55JFJ_2020-09-24_final
2020-09-24 09:44:52	ga_s2bm_ard_3-2-1_55JEJ_2020-09-24_final
2020-09-24 09:44:56	ga_s2bm_ard_3-2-1_56JKN_2020-09-24_final
2020-09-24 09:44:59	ga_s2bm_ard_3-2-1_55JGH_2020-09-24_final
2020-09-24 09:45:03	ga_s2bm_ard_3-2-1_55JFH_2020-09-24_final
2020-09-24 09:45:07	ga_s2bm_ard_3-2-1_55JEH_2020-09-24_final
2020-09-24 09:45:21	ga_s2bm_ard_3-2-1_55JEG_2020-09-24_final
2020-09-24 09:45:24	ga_s2bm_ard_3-2-1_56JKL_2020-09-24_final
2020-09-24 09:45:28	ga_s2bm_ard_3-2-1_55JGF_2020-09-24_final
2020-09-24 09:45:29	ga_s2bm_ard_3-2-1_55JDG_2020-09-24_final
2020-09-24 09:45:35	ga_s2bm_ard_3-2-1_56HKK_2020-09-24_final
2020-09-24 09:45:36	ga_s2bm_ard_3-2-1_55JEF_2020-09-24_final
2020-09-24 09:45:40	ga_s2bm_ard_3-2-1_55JDF_2020-09-24_final
2020-09-24 09:45:43	ga_s2bm_ard_3-2-1_55HGE_2020-09-24_final
2020-09-24 09:45:46	ga_s2bm_ard_3-2-1_55HFE_2020-09-24_final
2020-09-24 09:45:57	ga_s2bm_ard_3-2-1_55HGD_2020-09-24_final
2020-09-24 09:46:10	ga_s2bm_ard_3-2-1_55HGC_2020-09-24_final
2020-09-24 09:46:19	ga_s2bm_ard_3-2-1_55HEC_2020-09-24_final
2020-09-24 09:46:20	ga_s2bm_ard_3-2-1_55HGB_2020-09-24_final
2020-09-24 09:46:23	ga_s2bm_ard_3-2-1_55HDC_2020-09-24_final
2020-09-24 09:46:34	ga_s2bm_ard_3-2-1_55HEB_2020-09-24_final
2020-09-24 09:46:37	ga_s2bm_ard_3-2-1_55HDB_2020-09-24_final
2020-09-24 09:46:44	ga_s2bm_ard_3-2-1_55HFA_2020-09-24_final
2020-09-24 09:46:48	ga_s2bm_ard_3-2-1_55HEA_2020-09-24_final
2020-09-24 09:46:52	ga_s2bm_ard_3-2-1_55HDA_2020-09-24_final
2020-09-24 09:46:55	ga_s2bm_ard_3-2-1_55HCA_2020-09-24_final
2020-09-24 09:46:59	ga_s2bm_ard_3-2-1_55HFV_2020-09-24_final
2020-09-24 09:47:03	ga_s2bm_ard_3-2-1_55HEV_2020-09-24_final
2020-09-24 09:47:06	ga_s2bm_ard_3-2-1_55HDV_2020-09-24_final
2020-09-24 09:47:10	ga_s2bm_ard_3-2-1_55HCV_2020-09-24_final
2020-09-24 09:47:46	ga_s2bm_ard_3-2-1_55HES_2020-09-24_final
2020-09-24 09:47:50	ga_s2bm_ard_3-2-1_55HDS_2020-09-24_final
2020-09-24 09:47:53	ga_s2bm_ard_3-2-1_55HCS_2020-09-24_final
2020-09-24 09:47:56	ga_s2bm_ard_3-2-1_55HBS_2020-09-24_final
2020-09-24 09:47:57	ga_s2bm_ard_3-2-1_54HYB_2020-09-24_final
2020-09-24 09:48:01	ga_s2bm_ard_3-2-1_55GER_2020-09-24_final
2020-09-24 09:48:04	ga_s2bm_ard_3-2-1_55GDR_2020-09-24_final
2020-09-24 09:48:08	ga_s2bm_ard_3-2-1_55GCR_2020-09-24_final
2020-09-24 09:48:11	ga_s2bm_ard_3-2-1_55GBR_2020-09-24_final
2020-09-24 09:48:11	ga_s2bm_ard_3-2-1_54GYA_2020-09-24_final
2020-09-24 09:48:14	ga_s2bm_ard_3-2-1_55GEQ_2020-09-24_final
2020-09-24 09:48:19	ga_s2bm_ard_3-2-1_55GDQ_2020-09-24_final
2020-09-24 09:48:22	ga_s2bm_ard_3-2-1_55GCQ_2020-09-24_final
2020-09-24 09:48:24	ga_s2bm_ard_3-2-1_55GEP_2020-09-24_final
2020-09-24 09:48:26	ga_s2bm_ard_3-2-1_55GBQ_2020-09-24_final.stac-item
2020-09-24 09:48:26	ga_s2bm_ard_3-2-1_54GYV_2020-09-24_final.stac-item
2020-09-24 11:21:10	ga_s2bm_ard_3-2-1_52LEK_2020-09-24_final.stac-item
2020-09-24 11:21:38	ga_s2bm_ard_3-2-1_52LCJ_2020-09-24_final
2020-09-24 11:21:41	ga_s2bm_ard_3-2-1_52LBJ_2020-09-24_final
2020-09-24 11:21:42	ga_s2bm_ard_3-2-1_51LZD_2020-09-24_final
2020-09-24 11:22:21	ga_s2bm_ard_3-2-1_52KCF_2020-09-24_final
2020-09-24 11:22:54	ga_s2bm_ard_3-2-1_52KBD_2020-09-24_final
2020-09-24 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2020-09-24_final
2020-09-24 11:23:09	ga_s2bm_ard_3-2-1_52KBC_2020-09-24_final
2020-09-24 11:23:13	ga_s2bm_ard_3-2-1_51KYT_2020-09-24_final
2020-09-24 11:23:16	ga_s2bm_ard_3-2-1_51KXT_2020-09-24_final
2020-09-24 11:23:19	ga_s2bm_ard_3-2-1_52KCB_2020-09-24_final
2020-09-24 11:23:24	ga_s2bm_ard_3-2-1_51KZS_2020-09-24_final
2020-09-24 11:23:30	ga_s2bm_ard_3-2-1_52KCA_2020-09-24_final
2020-09-24 11:23:38	ga_s2bm_ard_3-2-1_51KZR_2020-09-24_final
2020-09-24 11:23:52	ga_s2bm_ard_3-2-1_51KZQ_2020-09-24_final
2020-09-24 11:23:56	ga_s2bm_ard_3-2-1_51KYQ_2020-09-24_final
2020-09-24 11:24:04	ga_s2bm_ard_3-2-1_51KWQ_2020-09-24_final
2020-09-24 11:24:07	ga_s2bm_ard_3-2-1_52KBU_2020-09-24_final
2020-09-24 11:24:11	ga_s2bm_ard_3-2-1_51KYP_2020-09-24_final
2020-09-24 11:24:14	ga_s2bm_ard_3-2-1_51KXP_2020-09-24_final
2020-09-24 11:24:21	ga_s2bm_ard_3-2-1_51JZN_2020-09-24_final
2020-09-24 11:24:21	ga_s2bm_ard_3-2-1_52JBT_2020-09-24_final
2020-09-24 11:24:25	ga_s2bm_ard_3-2-1_51JYN_2020-09-24_final
2020-09-24 11:24:35	ga_s2bm_ard_3-2-1_51JZM_2020-09-24_final
2020-09-24 11:24:43	ga_s2bm_ard_3-2-1_51JXM_2020-09-24_final
2020-09-24 11:24:46	ga_s2bm_ard_3-2-1_52JBR_2020-09-24_final
2020-09-24 11:24:47	ga_s2bm_ard_3-2-1_51JWM_2020-09-24_final
2020-09-24 11:24:54	ga_s2bm_ard_3-2-1_51JYL_2020-09-24_final
2020-09-24 11:24:58	ga_s2bm_ard_3-2-1_51JXL_2020-09-24_final
2020-09-24 11:25:06	ga_s2bm_ard_3-2-1_51JVL_2020-09-24_final
2020-09-24 11:25:08	ga_s2bm_ard_3-2-1_51JYK_2020-09-24_final
2020-09-24 11:25:15	ga_s2bm_ard_3-2-1_51JWK_2020-09-24_final
2020-09-24 11:25:19	ga_s2bm_ard_3-2-1_51JVK_2020-09-24_final
2020-09-24 11:25:23	ga_s2bm_ard_3-2-1_51JYJ_2020-09-24_final
2020-09-24 11:25:27	ga_s2bm_ard_3-2-1_51JXJ_2020-09-24_final
2020-09-24 11:25:30	ga_s2bm_ard_3-2-1_51JWJ_2020-09-24_final
2020-09-24 11:25:33	ga_s2bm_ard_3-2-1_51JVJ_2020-09-24_final
2020-09-24 11:25:36	ga_s2bm_ard_3-2-1_51JYH_2020-09-24_final
2020-09-24 11:25:45	ga_s2bm_ard_3-2-1_51JWH_2020-09-24_final
2020-09-24 11:25:48	ga_s2bm_ard_3-2-1_51JVH_2020-09-24_final
2020-09-24 11:25:55	ga_s2bm_ard_3-2-1_51JXG_2020-09-24_final
2020-09-24 11:25:59	ga_s2bm_ard_3-2-1_51JWG_2020-09-24_final
2020-09-24 11:26:03	ga_s2bm_ard_3-2-1_51JVG_2020-09-24_final
2020-09-24 11:26:24	ga_s2bm_ard_3-2-1_51HXE_2020-09-24_final
2020-09-24 11:26:35	ga_s2bm_ard_3-2-1_51HUE_2020-09-24_final
2020-09-24 11:27:10	ga_s2bm_ard_3-2-1_51HTC_2020-09-24_final
2020-09-24 11:27:11	ga_s2bm_ard_3-2-1_51HWB_2020-09-24_final.stac-item
2020-09-24 11:27:13	ga_s2bm_ard_3-2-1_51HVB_2020-09-24_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