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
2021-12-27 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2021-12-27_final.stac-item
2021-12-28 09:41:40	ga_s2bm_ard_3-2-1_56KKF_2021-12-28_final
2021-12-28 09:42:03	ga_s2bm_ard_3-2-1_56KMD_2021-12-28_final.stac-item
2021-12-28 09:42:29	ga_s2bm_ard_3-2-1_55KGT_2021-12-28_final
2021-12-28 09:42:32	ga_s2bm_ard_3-2-1_56KMB_2021-12-28_final.stac-item
2021-12-28 09:42:35	ga_s2bm_ard_3-2-1_56KLB_2021-12-28_final
2021-12-28 09:42:38	ga_s2bm_ard_3-2-1_56KKB_2021-12-28_final
2021-12-28 09:42:42	ga_s2bm_ard_3-2-1_55KGS_2021-12-28_final
2021-12-28 09:42:53	ga_s2bm_ard_3-2-1_55KHR_2021-12-28_final
2021-12-28 09:42:57	ga_s2bm_ard_3-2-1_55KGR_2021-12-28_final
2021-12-28 09:43:04	ga_s2bm_ard_3-2-1_56KLV_2021-12-28_final
2021-12-28 09:43:08	ga_s2bm_ard_3-2-1_56KKV_2021-12-28_final
2021-12-28 09:43:11	ga_s2bm_ard_3-2-1_55KGQ_2021-12-28_final
2021-12-28 09:43:19	ga_s2bm_ard_3-2-1_56KLU_2021-12-28_final
2021-12-28 09:43:22	ga_s2bm_ard_3-2-1_56KKU_2021-12-28_final
2021-12-28 09:43:30	ga_s2bm_ard_3-2-1_55KFP_2021-12-28_final
2021-12-28 09:43:37	ga_s2bm_ard_3-2-1_55JHN_2021-12-28_final
2021-12-28 09:43:40	ga_s2bm_ard_3-2-1_55JGN_2021-12-28_final
2021-12-28 09:43:55	ga_s2bm_ard_3-2-1_55JGM_2021-12-28_final
2021-12-28 09:44:01	ga_s2bm_ard_3-2-1_56JLR_2021-12-28_final
2021-12-28 09:44:13	ga_s2bm_ard_3-2-1_55JFL_2021-12-28_final
2021-12-28 09:44:31	ga_s2bm_ard_3-2-1_55JEK_2021-12-28_final
2021-12-28 09:44:45	ga_s2bm_ard_3-2-1_55JEJ_2021-12-28_final
2021-12-28 09:44:50	ga_s2bm_ard_3-2-1_56JKN_2021-12-28_final
2021-12-28 09:44:53	ga_s2bm_ard_3-2-1_55JGH_2021-12-28_final
2021-12-28 09:45:29	ga_s2bm_ard_3-2-1_55JEF_2021-12-28_final
2021-12-28 09:45:33	ga_s2bm_ard_3-2-1_55JDF_2021-12-28_final
2021-12-28 09:45:50	ga_s2bm_ard_3-2-1_55HGD_2021-12-28_final
2021-12-28 09:46:03	ga_s2bm_ard_3-2-1_55HGC_2021-12-28_final
2021-12-28 09:46:12	ga_s2bm_ard_3-2-1_55HEC_2021-12-28_final
2021-12-28 09:46:13	ga_s2bm_ard_3-2-1_55HGB_2021-12-28_final
2021-12-28 09:46:16	ga_s2bm_ard_3-2-1_55HDC_2021-12-28_final
2021-12-28 09:46:27	ga_s2bm_ard_3-2-1_55HEB_2021-12-28_final
2021-12-28 09:46:30	ga_s2bm_ard_3-2-1_55HDB_2021-12-28_final
2021-12-28 09:46:41	ga_s2bm_ard_3-2-1_55HEA_2021-12-28_final
2021-12-28 09:46:45	ga_s2bm_ard_3-2-1_55HDA_2021-12-28_final
2021-12-28 09:46:52	ga_s2bm_ard_3-2-1_55HFV_2021-12-28_final
2021-12-28 09:46:56	ga_s2bm_ard_3-2-1_55HEV_2021-12-28_final
2021-12-28 09:46:59	ga_s2bm_ard_3-2-1_55HDV_2021-12-28_final
2021-12-28 09:47:03	ga_s2bm_ard_3-2-1_55HCV_2021-12-28_final
2021-12-28 09:47:43	ga_s2bm_ard_3-2-1_55HCS_2021-12-28_final
2021-12-28 09:47:44	ga_s2bm_ard_3-2-1_55HBS_2021-12-28_final
2021-12-28 09:47:45	ga_s2bm_ard_3-2-1_54HYB_2021-12-28_final
2021-12-28 09:47:46	ga_s2bm_ard_3-2-1_55GER_2021-12-28_final
2021-12-28 09:47:50	ga_s2bm_ard_3-2-1_55HCS_2021-12-28_final
2021-12-28 09:47:51	ga_s2bm_ard_3-2-1_55HBS_2021-12-28_final
2021-12-28 09:47:52	ga_s2bm_ard_3-2-1_54HYB_2021-12-28_final
2021-12-28 09:47:54	ga_s2bm_ard_3-2-1_55GER_2021-12-28_final
2021-12-28 09:47:57	ga_s2bm_ard_3-2-1_55GDR_2021-12-28_final
2021-12-28 09:48:01	ga_s2bm_ard_3-2-1_55GCR_2021-12-28_final
2021-12-28 09:48:07	ga_s2bm_ard_3-2-1_55GEQ_2021-12-28_final
2021-12-28 09:48:12	ga_s2bm_ard_3-2-1_55GDQ_2021-12-28_final
2021-12-28 09:48:15	ga_s2bm_ard_3-2-1_55GCQ_2021-12-28_final
2021-12-28 09:48:17	ga_s2bm_ard_3-2-1_55GEP_2021-12-28_final
2021-12-28 09:48:19	ga_s2bm_ard_3-2-1_55GBQ_2021-12-28_final.stac-item
2021-12-28 09:48:19	ga_s2bm_ard_3-2-1_54GYV_2021-12-28_final.stac-item
2021-12-28 09:48:26	ga_s2bm_ard_3-2-1_55GDP_2021-12-28_final
2021-12-28 09:48:30	ga_s2bm_ard_3-2-1_55GCP_2021-12-28_final
2021-12-28 11:21:03	ga_s2bm_ard_3-2-1_52LEK_2021-12-28_final.stac-item
2021-12-28 11:21:17	ga_s2bm_ard_3-2-1_52LCK_2021-12-28_final.stac-item
2021-12-28 11:21:20	ga_s2bm_ard_3-2-1_52LBK_2021-12-28_final
2021-12-28 11:21:21	ga_s2bm_ard_3-2-1_51LZE_2021-12-28_final
2021-12-28 11:21:34	ga_s2bm_ard_3-2-1_52LBJ_2021-12-28_final
2021-12-28 11:21:46	ga_s2bm_ard_3-2-1_52LCH_2021-12-28_final
2021-12-28 11:21:49	ga_s2bm_ard_3-2-1_52LBH_2021-12-28_final
2021-12-28 11:21:50	ga_s2bm_ard_3-2-1_51LZC_2021-12-28_final
2021-12-28 11:21:54	ga_s2bm_ard_3-2-1_51LYC_2021-12-28_final
2021-12-28 11:22:13	ga_s2bm_ard_3-2-1_52KBF_2021-12-28_final
2021-12-28 11:22:13	ga_s2bm_ard_3-2-1_51KZA_2021-12-28_final
2021-12-28 11:22:14	ga_s2bm_ard_3-2-1_51KYA_2021-12-28_final
2021-12-28 11:22:20	ga_s2bm_ard_3-2-1_51KZA_2021-12-28_final
2021-12-28 11:22:22	ga_s2bm_ard_3-2-1_51KYA_2021-12-28_final
2021-12-28 11:22:58	ga_s2bm_ard_3-2-1_52KCC_2021-12-28_final
2021-12-28 11:23:06	ga_s2bm_ard_3-2-1_51KYT_2021-12-28_final
2021-12-28 11:23:09	ga_s2bm_ard_3-2-1_51KXT_2021-12-28_final
2021-12-28 11:23:12	ga_s2bm_ard_3-2-1_52KCB_2021-12-28_final
2021-12-28 11:23:16	ga_s2bm_ard_3-2-1_52KBB_2021-12-28_final
2021-12-28 11:23:20	ga_s2bm_ard_3-2-1_51KYS_2021-12-28_final
2021-12-28 11:23:23	ga_s2bm_ard_3-2-1_52KCA_2021-12-28_final
2021-12-28 11:23:24	ga_s2bm_ard_3-2-1_51KXS_2021-12-28_final
2021-12-28 11:23:31	ga_s2bm_ard_3-2-1_51KZR_2021-12-28_final
2021-12-28 11:23:35	ga_s2bm_ard_3-2-1_51KYR_2021-12-28_final
2021-12-28 11:23:45	ga_s2bm_ard_3-2-1_52KBV_2021-12-28_final
2021-12-28 11:23:49	ga_s2bm_ard_3-2-1_51KYQ_2021-12-28_final
2021-12-28 11:23:53	ga_s2bm_ard_3-2-1_51KXQ_2021-12-28_final
2021-12-28 11:24:07	ga_s2bm_ard_3-2-1_51KXP_2021-12-28_final
2021-12-28 11:24:10	ga_s2bm_ard_3-2-1_51KWP_2021-12-28_final
2021-12-28 11:24:14	ga_s2bm_ard_3-2-1_52JBT_2021-12-28_final
2021-12-28 11:24:18	ga_s2bm_ard_3-2-1_51JYN_2021-12-28_final
2021-12-28 11:24:40	ga_s2bm_ard_3-2-1_51JWM_2021-12-28_final
2021-12-28 11:25:09	ga_s2bm_ard_3-2-1_51JWK_2021-12-28_final
2021-12-28 11:25:12	ga_s2bm_ard_3-2-1_51JVK_2021-12-28_final
2021-12-28 11:25:23	ga_s2bm_ard_3-2-1_51JWJ_2021-12-28_final
2021-12-28 11:25:26	ga_s2bm_ard_3-2-1_51JVJ_2021-12-28_final
2021-12-28 11:25:29	ga_s2bm_ard_3-2-1_51JYH_2021-12-28_final
2021-12-28 11:26:07	ga_s2bm_ard_3-2-1_51JWF_2021-12-28_final
2021-12-28 11:26:10	ga_s2bm_ard_3-2-1_51JVF_2021-12-28_final
2021-12-28 11:26:50	ga_s2bm_ard_3-2-1_51HWC_2021-12-28_final.stac-item
2021-12-28 11:26:54	ga_s2bm_ard_3-2-1_51HVC_2021-12-28_final
2021-12-28 11:27:04	ga_s2bm_ard_3-2-1_51HWB_2021-12-28_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