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:

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First 100 results (query limit)

Time (local)	Label
2023-07-21 09:39:41	ga_s2bm_ard_3-2-1_56LPP_2023-07-21_nrt.stac-item
2023-07-21 09:39:44	ga_s2bm_ard_3-2-1_56LNP_2023-07-21_nrt.stac-item
2023-07-21 09:39:48	ga_s2bm_ard_3-2-1_56LMP_2023-07-21_nrt.stac-item
2023-07-21 09:39:54	ga_s2bm_ard_3-2-1_56LLP_2023-07-21_nrt.stac-item
2023-07-21 09:41:22	ga_s2bm_ard_3-2-1_56LMH_2023-07-21_nrt.stac-item
2023-07-21 09:41:23	ga_s2bm_ard_3-2-1_56LLH_2023-07-21_nrt.stac-item
2023-07-21 09:41:24	ga_s2bm_ard_3-2-1_56LKH_2023-07-21_nrt.stac-item
2023-07-21 09:41:40	ga_s2bm_ard_3-2-1_56KNF_2023-07-21_nrt.stac-item
2023-07-21 09:41:44	ga_s2bm_ard_3-2-1_56KMF_2023-07-21_final.stac-item
2023-07-21 09:41:50	ga_s2bm_ard_3-2-1_56KKF_2023-07-21_final.stac-item
2023-07-21 09:41:51	ga_s2bm_ard_3-2-1_55KHA_2023-07-21_nrt.stac-item
2023-07-21 09:41:52	ga_s2bm_ard_3-2-1_56KNE_2023-07-21_nrt.stac-item
2023-07-21 09:41:58	ga_s2bm_ard_3-2-1_56KME_2023-07-21_final.stac-item
2023-07-21 09:42:20	ga_s2bm_ard_3-2-1_56KKD_2023-07-21_nrt.stac-item
2023-07-21 09:42:20	ga_s2bm_ard_3-2-1_55KHU_2023-07-21_nrt.stac-item
2023-07-21 09:42:42	ga_s2bm_ard_3-2-1_56KMB_2023-07-21_final.stac-item
2023-07-21 09:42:46	ga_s2bm_ard_3-2-1_56KLB_2023-07-21_final.stac-item
2023-07-21 09:42:56	ga_s2bm_ard_3-2-1_56KMA_2023-07-21_final.stac-item
2023-07-21 09:43:03	ga_s2bm_ard_3-2-1_56KKA_2023-07-21_final.stac-item
2023-07-21 09:43:07	ga_s2bm_ard_3-2-1_55KGR_2023-07-21_final.stac-item
2023-07-21 09:43:18	ga_s2bm_ard_3-2-1_56KKV_2023-07-21_final.stac-item
2023-07-21 09:43:32	ga_s2bm_ard_3-2-1_56KKU_2023-07-21_final.stac-item
2023-07-21 09:43:36	ga_s2bm_ard_3-2-1_55KGP_2023-07-21_final.stac-item
2023-07-21 09:43:47	ga_s2bm_ard_3-2-1_56JKT_2023-07-21_final.stac-item
2023-07-21 09:43:50	ga_s2bm_ard_3-2-1_55JGN_2023-07-21_final.stac-item
2023-07-21 09:43:58	ga_s2bm_ard_3-2-1_56JLS_2023-07-21_final.stac-item
2023-07-21 09:44:09	ga_s2bm_ard_3-2-1_55JFM_2023-07-21_final.stac-item
2023-07-21 09:44:22	ga_s2bm_ard_3-2-1_56JLQ_2023-07-21_final.stac-item
2023-07-21 09:44:30	ga_s2bm_ard_3-2-1_56JKQ_2023-07-21_final.stac-item
2023-07-21 09:44:37	ga_s2bm_ard_3-2-1_55JFK_2023-07-21_final.stac-item
2023-07-21 09:44:45	ga_s2bm_ard_3-2-1_56JKP_2023-07-21_final.stac-item
2023-07-21 09:44:52	ga_s2bm_ard_3-2-1_55JFJ_2023-07-21_final.stac-item
2023-07-21 09:45:07	ga_s2bm_ard_3-2-1_55JFH_2023-07-21_final.stac-item
2023-07-21 09:45:10	ga_s2bm_ard_3-2-1_55JEH_2023-07-21_final.stac-item
2023-07-21 09:45:14	ga_s2bm_ard_3-2-1_56JKM_2023-07-21_final.stac-item
2023-07-21 09:45:17	ga_s2bm_ard_3-2-1_55JGG_2023-07-21_final.stac-item
2023-07-21 09:45:28	ga_s2bm_ard_3-2-1_56JKL_2023-07-21_final.stac-item
2023-07-21 09:45:31	ga_s2bm_ard_3-2-1_55JGF_2023-07-21_final.stac-item
2023-07-21 09:45:38	ga_s2bm_ard_3-2-1_56HKK_2023-07-21_final.stac-item
2023-07-21 09:45:39	ga_s2bm_ard_3-2-1_55JEF_2023-07-21_final.stac-item
2023-07-21 09:45:43	ga_s2bm_ard_3-2-1_55JDF_2023-07-21_final.stac-item
2023-07-21 09:45:46	ga_s2bm_ard_3-2-1_55HGE_2023-07-21_final.stac-item
2023-07-21 09:45:50	ga_s2bm_ard_3-2-1_55HFE_2023-07-21_final.stac-item
2023-07-21 09:45:53	ga_s2bm_ard_3-2-1_55HEE_2023-07-21_final.stac-item
2023-07-21 09:45:57	ga_s2bm_ard_3-2-1_55HDE_2023-07-21_final.stac-item
2023-07-21 09:46:04	ga_s2bm_ard_3-2-1_55HFD_2023-07-21_final.stac-item
2023-07-21 09:46:19	ga_s2bm_ard_3-2-1_55HFC_2023-07-21_final.stac-item
2023-07-21 09:46:37	ga_s2bm_ard_3-2-1_55HEB_2023-07-21_final.stac-item
2023-07-21 09:46:40	ga_s2bm_ard_3-2-1_55HDB_2023-07-21_final.stac-item
2023-07-21 09:46:48	ga_s2bm_ard_3-2-1_55HFA_2023-07-21_final.stac-item
2023-07-21 09:46:58	ga_s2bm_ard_3-2-1_55HCA_2023-07-21_final.stac-item
2023-07-21 09:47:28	ga_s2bm_ard_3-2-1_55HCU_2023-07-21_final.stac-item
2023-07-21 09:47:35	ga_s2bm_ard_3-2-1_55HET_2023-07-21_final.stac-item
2023-07-21 09:47:35	ga_s2bm_ard_3-2-1_55HBU_2023-07-21_final.stac-item
2023-07-21 09:47:39	ga_s2bm_ard_3-2-1_55HDT_2023-07-21_final.stac-item
2023-07-21 09:48:04	ga_s2bm_ard_3-2-1_55GER_2023-07-21_final.stac-item
2023-07-21 09:48:11	ga_s2bm_ard_3-2-1_55GCR_2023-07-21_final.stac-item
2023-07-21 09:48:26	ga_s2bm_ard_3-2-1_55GCQ_2023-07-21_final.stac-item
2023-07-21 09:48:29	ga_s2bm_ard_3-2-1_54GYV_2023-07-21_final.stac-item
2023-07-21 09:48:40	ga_s2bm_ard_3-2-1_55GCP_2023-07-21_final.stac-item
2023-07-21 09:48:43	ga_s2bm_ard_3-2-1_54GYU_2023-07-21_nrt.stac-item
2023-07-21 09:48:44	ga_s2bm_ard_3-2-1_55GBP_2023-07-21_nrt.stac-item
2023-07-21 11:20:22	ga_s2bm_ard_3-2-1_52LEP_2023-07-21_nrt.stac-item
2023-07-21 11:20:25	ga_s2bm_ard_3-2-1_52LDP_2023-07-21_nrt.stac-item
2023-07-21 11:20:29	ga_s2bm_ard_3-2-1_52LCP_2023-07-21_nrt.stac-item
2023-07-21 11:20:32	ga_s2bm_ard_3-2-1_52LBP_2023-07-21_nrt.stac-item
2023-07-21 11:20:46	ga_s2bm_ard_3-2-1_52LBN_2023-07-21_nrt.stac-item
2023-07-21 11:21:14	ga_s2bm_ard_3-2-1_52LEK_2023-07-21_final.stac-item
2023-07-21 11:21:30	ga_s2bm_ard_3-2-1_52LBK_2023-07-21_final.stac-item
2023-07-21 11:21:31	ga_s2bm_ard_3-2-1_51LZE_2023-07-21_final.stac-item
2023-07-21 11:21:53	ga_s2bm_ard_3-2-1_52LDH_2023-07-21_final.stac-item
2023-07-21 11:22:18	ga_s2bm_ard_3-2-1_52KDF_2023-07-21_final.stac-item
2023-07-21 11:22:28	ga_s2bm_ard_3-2-1_52KBF_2023-07-21_final.stac-item
2023-07-21 11:22:29	ga_s2bm_ard_3-2-1_51KZA_2023-07-21_final.stac-item
2023-07-21 11:22:33	ga_s2bm_ard_3-2-1_51KYA_2023-07-21_final.stac-item
2023-07-21 11:22:57	ga_s2bm_ard_3-2-1_52KBD_2023-07-21_final.stac-item
2023-07-21 11:23:02	ga_s2bm_ard_3-2-1_51KYU_2023-07-21_final.stac-item
2023-07-21 11:23:22	ga_s2bm_ard_3-2-1_52KCB_2023-07-21_final.stac-item
2023-07-21 11:23:34	ga_s2bm_ard_3-2-1_51KXS_2023-07-21_final.stac-item
2023-07-21 11:23:45	ga_s2bm_ard_3-2-1_51KYR_2023-07-21_final.stac-item
2023-07-21 11:23:55	ga_s2bm_ard_3-2-1_52KBV_2023-07-21_final.stac-item
2023-07-21 11:23:56	ga_s2bm_ard_3-2-1_51KZQ_2023-07-21_final.stac-item
2023-07-21 11:24:25	ga_s2bm_ard_3-2-1_52JBT_2023-07-21_final.stac-item
2023-07-21 11:24:28	ga_s2bm_ard_3-2-1_51JYN_2023-07-21_final.stac-item
2023-07-21 11:24:46	ga_s2bm_ard_3-2-1_51JXM_2023-07-21_final.stac-item
2023-07-21 11:24:57	ga_s2bm_ard_3-2-1_51JYL_2023-07-21_final.stac-item
2023-07-21 11:25:15	ga_s2bm_ard_3-2-1_51JXK_2023-07-21_final.stac-item
2023-07-21 11:25:26	ga_s2bm_ard_3-2-1_51JYJ_2023-07-21_final.stac-item
2023-07-21 11:25:34	ga_s2bm_ard_3-2-1_51JWJ_2023-07-21_final.stac-item
2023-07-21 11:25:40	ga_s2bm_ard_3-2-1_51JYH_2023-07-21_final.stac-item
2023-07-21 11:25:48	ga_s2bm_ard_3-2-1_51JWH_2023-07-21_final.stac-item
2023-07-21 11:25:52	ga_s2bm_ard_3-2-1_51JVH_2023-07-21_final.stac-item
2023-07-21 11:26:17	ga_s2bm_ard_3-2-1_51JWF_2023-07-21_final.stac-item
2023-07-21 11:26:20	ga_s2bm_ard_3-2-1_51JVF_2023-07-21_final.stac-item
2023-07-21 11:26:28	ga_s2bm_ard_3-2-1_51HXE_2023-07-21_final.stac-item
2023-07-21 11:26:32	ga_s2bm_ard_3-2-1_51HWE_2023-07-21_final.stac-item
2023-07-21 11:26:38	ga_s2bm_ard_3-2-1_51HUE_2023-07-21_final.stac-item
2023-07-21 11:26:42	ga_s2bm_ard_3-2-1_51HXD_2023-07-21_final.stac-item
2023-07-21 11:26:53	ga_s2bm_ard_3-2-1_51HUD_2023-07-21_final.stac-item
2023-07-21 11:27:08	ga_s2bm_ard_3-2-1_51HUC_2023-07-21_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

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