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
2023-02-20 11:57:27	ga_s2bm_ard_3-2-1_49HFB_2023-02-20_nrt.stac-item
2023-02-21 09:39:34	ga_s2bm_ard_3-2-1_56LPP_2023-02-21_nrt.stac-item
2023-02-21 09:39:38	ga_s2bm_ard_3-2-1_56LNP_2023-02-21_nrt.stac-item
2023-02-21 09:39:41	ga_s2bm_ard_3-2-1_56LMP_2023-02-21_nrt.stac-item
2023-02-21 09:39:48	ga_s2bm_ard_3-2-1_56LLP_2023-02-21_nrt.stac-item
2023-02-21 09:41:44	ga_s2bm_ard_3-2-1_56KKF_2023-02-21_final.stac-item
2023-02-21 09:41:45	ga_s2bm_ard_3-2-1_55KHA_2023-02-21_nrt.stac-item
2023-02-21 09:41:46	ga_s2bm_ard_3-2-1_56KNE_2023-02-21_nrt.stac-item
2023-02-21 09:41:52	ga_s2bm_ard_3-2-1_56KME_2023-02-21_final.stac-item
2023-02-21 09:42:42	ga_s2bm_ard_3-2-1_56KKB_2023-02-21_final.stac-item
2023-02-21 09:42:46	ga_s2bm_ard_3-2-1_55KGS_2023-02-21_final.stac-item
2023-02-21 09:42:49	ga_s2bm_ard_3-2-1_56KMA_2023-02-21_final.stac-item
2023-02-21 09:42:57	ga_s2bm_ard_3-2-1_56KKA_2023-02-21_final.stac-item
2023-02-21 09:43:11	ga_s2bm_ard_3-2-1_56KKV_2023-02-21_final.stac-item
2023-02-21 09:43:26	ga_s2bm_ard_3-2-1_56KKU_2023-02-21_final.stac-item
2023-02-21 09:43:30	ga_s2bm_ard_3-2-1_55KGP_2023-02-21_final.stac-item
2023-02-21 09:43:55	ga_s2bm_ard_3-2-1_56JKS_2023-02-21_final.stac-item
2023-02-21 09:43:59	ga_s2bm_ard_3-2-1_55JGM_2023-02-21_final.stac-item
2023-02-21 09:44:10	ga_s2bm_ard_3-2-1_56JKR_2023-02-21_final.stac-item
2023-02-21 09:44:17	ga_s2bm_ard_3-2-1_55JFL_2023-02-21_final.stac-item
2023-02-21 09:44:24	ga_s2bm_ard_3-2-1_55JEL_2023-02-21_final.stac-item
2023-02-21 09:44:31	ga_s2bm_ard_3-2-1_55JFK_2023-02-21_final.stac-item
2023-02-21 09:44:45	ga_s2bm_ard_3-2-1_55JFJ_2023-02-21_final.stac-item
2023-02-21 09:45:18	ga_s2bm_ard_3-2-1_55JEG_2023-02-21_final.stac-item
2023-02-21 09:45:21	ga_s2bm_ard_3-2-1_56JKL_2023-02-21_final.stac-item
2023-02-21 09:45:25	ga_s2bm_ard_3-2-1_55JGF_2023-02-21_final.stac-item
2023-02-21 09:45:32	ga_s2bm_ard_3-2-1_56HKK_2023-02-21_final.stac-item
2023-02-21 09:45:40	ga_s2bm_ard_3-2-1_55HGE_2023-02-21_final.stac-item
2023-02-21 09:45:47	ga_s2bm_ard_3-2-1_55HEE_2023-02-21_final.stac-item
2023-02-21 09:45:50	ga_s2bm_ard_3-2-1_55HDE_2023-02-21_final.stac-item
2023-02-21 09:45:54	ga_s2bm_ard_3-2-1_55HGD_2023-02-21_final.stac-item
2023-02-21 09:45:58	ga_s2bm_ard_3-2-1_55HFD_2023-02-21_final.stac-item
2023-02-21 09:46:07	ga_s2bm_ard_3-2-1_55HGC_2023-02-21_final.stac-item
2023-02-21 09:46:16	ga_s2bm_ard_3-2-1_55HEC_2023-02-21_final.stac-item
2023-02-21 09:46:16	ga_s2bm_ard_3-2-1_55HGB_2023-02-21_final.stac-item
2023-02-21 09:46:20	ga_s2bm_ard_3-2-1_55HDC_2023-02-21_final.stac-item
2023-02-21 09:46:27	ga_s2bm_ard_3-2-1_55HFB_2023-02-21_final.stac-item
2023-02-21 09:46:31	ga_s2bm_ard_3-2-1_55HEB_2023-02-21_final.stac-item
2023-02-21 09:46:34	ga_s2bm_ard_3-2-1_55HDB_2023-02-21_final.stac-item
2023-02-21 09:46:38	ga_s2bm_ard_3-2-1_55HCB_2023-02-21_final.stac-item
2023-02-21 09:46:49	ga_s2bm_ard_3-2-1_55HDA_2023-02-21_final.stac-item
2023-02-21 09:47:03	ga_s2bm_ard_3-2-1_55HCV_2023-02-21_final.stac-item
2023-02-21 09:47:19	ga_s2bm_ard_3-2-1_55HFT_2023-02-21_final.stac-item
2023-02-21 09:47:28	ga_s2bm_ard_3-2-1_55HET_2023-02-21_final.stac-item
2023-02-21 09:47:32	ga_s2bm_ard_3-2-1_55HDT_2023-02-21_final.stac-item
2023-02-21 09:47:36	ga_s2bm_ard_3-2-1_55HCT_2023-02-21_final.stac-item
2023-02-21 09:47:40	ga_s2bm_ard_3-2-1_55HBT_2023-02-21_final.stac-item
2023-02-21 09:47:43	ga_s2bm_ard_3-2-1_55HES_2023-02-21_final.stac-item
2023-02-21 09:47:44	ga_s2bm_ard_3-2-1_54HYC_2023-02-21_final.stac-item
2023-02-21 09:47:47	ga_s2bm_ard_3-2-1_55HDS_2023-02-21_final.stac-item
2023-02-21 09:47:50	ga_s2bm_ard_3-2-1_55HCS_2023-02-21_final.stac-item
2023-02-21 09:47:53	ga_s2bm_ard_3-2-1_55HBS_2023-02-21_final.stac-item
2023-02-21 09:47:54	ga_s2bm_ard_3-2-1_54HYB_2023-02-21_final.stac-item
2023-02-21 09:48:21	ga_s2bm_ard_3-2-1_55GEP_2023-02-21_final.stac-item
2023-02-21 09:48:30	ga_s2bm_ard_3-2-1_55GDP_2023-02-21_final.stac-item
2023-02-21 09:48:34	ga_s2bm_ard_3-2-1_55GCP_2023-02-21_final.stac-item
2023-02-21 09:48:37	ga_s2bm_ard_3-2-1_54GYU_2023-02-21_nrt.stac-item
2023-02-21 09:48:37	ga_s2bm_ard_3-2-1_55GBP_2023-02-21_nrt.stac-item
2023-02-21 09:48:42	ga_s2bm_ard_3-2-1_54GXU_2023-02-21_nrt.stac-item
2023-02-21 09:48:51	ga_s2bm_ard_3-2-1_54GYT_2023-02-21_nrt.stac-item
2023-02-21 09:48:55	ga_s2bm_ard_3-2-1_54GXT_2023-02-21_nrt.stac-item
2023-02-21 11:20:15	ga_s2bm_ard_3-2-1_52LEP_2023-02-21_nrt.stac-item
2023-02-21 11:20:19	ga_s2bm_ard_3-2-1_52LDP_2023-02-21_nrt.stac-item
2023-02-21 11:20:22	ga_s2bm_ard_3-2-1_52LCP_2023-02-21_nrt.stac-item
2023-02-21 11:20:25	ga_s2bm_ard_3-2-1_52LBP_2023-02-21_nrt.stac-item
2023-02-21 11:21:17	ga_s2bm_ard_3-2-1_52LDK_2023-02-21_nrt.stac-item
2023-02-21 11:21:31	ga_s2bm_ard_3-2-1_52LDJ_2023-02-21_final.stac-item
2023-02-21 11:22:12	ga_s2bm_ard_3-2-1_52KDF_2023-02-21_final.stac-item
2023-02-21 11:22:22	ga_s2bm_ard_3-2-1_52KBF_2023-02-21_final.stac-item
2023-02-21 11:22:23	ga_s2bm_ard_3-2-1_51KZA_2023-02-21_final.stac-item
2023-02-21 11:22:26	ga_s2bm_ard_3-2-1_51KYA_2023-02-21_final.stac-item
2023-02-21 11:23:20	ga_s2bm_ard_3-2-1_52KBB_2023-02-21_final.stac-item
2023-02-21 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2023-02-21_final.stac-item
2023-02-21 11:23:34	ga_s2bm_ard_3-2-1_52KBA_2023-02-21_final.stac-item
2023-02-21 11:23:49	ga_s2bm_ard_3-2-1_52KBV_2023-02-21_final.stac-item
2023-02-21 11:24:04	ga_s2bm_ard_3-2-1_52KBU_2023-02-21_final.stac-item
2023-02-21 11:24:08	ga_s2bm_ard_3-2-1_51KYP_2023-02-21_final.stac-item
2023-02-21 11:24:32	ga_s2bm_ard_3-2-1_52JBS_2023-02-21_final.stac-item
2023-02-21 11:24:36	ga_s2bm_ard_3-2-1_51JYM_2023-02-21_final.stac-item
2023-02-21 11:24:44	ga_s2bm_ard_3-2-1_51JWM_2023-02-21_final.stac-item
2023-02-21 11:24:51	ga_s2bm_ard_3-2-1_51JYL_2023-02-21_final.stac-item
2023-02-21 11:24:55	ga_s2bm_ard_3-2-1_51JXL_2023-02-21_final.stac-item
2023-02-21 11:24:58	ga_s2bm_ard_3-2-1_51JWL_2023-02-21_final.stac-item
2023-02-21 11:25:03	ga_s2bm_ard_3-2-1_51JVL_2023-02-21_final.stac-item
2023-02-21 11:25:12	ga_s2bm_ard_3-2-1_51JWK_2023-02-21_final.stac-item
2023-02-21 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2023-02-21_final.stac-item
2023-02-21 11:25:38	ga_s2bm_ard_3-2-1_51JXH_2023-02-21_final.stac-item
2023-02-21 11:25:44	ga_s2bm_ard_3-2-1_51JYG_2023-02-21_final.stac-item
2023-02-21 11:26:14	ga_s2bm_ard_3-2-1_51JVF_2023-02-21_final.stac-item
2023-02-21 11:26:17	ga_s2bm_ard_3-2-1_51JUF_2023-02-21_final.stac-item
2023-02-21 11:26:25	ga_s2bm_ard_3-2-1_51HWE_2023-02-21_final.stac-item
2023-02-21 11:26:29	ga_s2bm_ard_3-2-1_51HVE_2023-02-21_final.stac-item
2023-02-21 11:26:35	ga_s2bm_ard_3-2-1_51HXD_2023-02-21_final.stac-item
2023-02-21 11:26:40	ga_s2bm_ard_3-2-1_51HWD_2023-02-21_final.stac-item
2023-02-21 11:26:43	ga_s2bm_ard_3-2-1_51HVD_2023-02-21_final.stac-item
2023-02-21 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2023-02-21_final.stac-item
2023-02-21 11:26:54	ga_s2bm_ard_3-2-1_51HWC_2023-02-21_final.stac-item
2023-02-21 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2023-02-21_final.stac-item
2023-02-21 11:27:07	ga_s2bm_ard_3-2-1_51HTC_2023-02-21_final.stac-item
2023-02-21 11:27:09	ga_s2bm_ard_3-2-1_51HVB_2023-02-21_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