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
2023-11-27 11:57:23	ga_s2bm_ard_3-2-1_50HMF_2023-11-27_nrt.stac-item
2023-11-28 09:39:31	ga_s2bm_ard_3-2-1_56LPP_2023-11-28_nrt.stac-item
2023-11-28 09:39:35	ga_s2bm_ard_3-2-1_56LNP_2023-11-28_nrt.stac-item
2023-11-28 09:39:38	ga_s2bm_ard_3-2-1_56LMP_2023-11-28_nrt.stac-item
2023-11-28 09:39:45	ga_s2bm_ard_3-2-1_56LLP_2023-11-28_nrt.stac-item
2023-11-28 09:41:11	ga_s2bm_ard_3-2-1_56LNH_2023-11-28_nrt.stac-item
2023-11-28 09:41:26	ga_s2bm_ard_3-2-1_56KKG_2023-11-28_final.stac-item
2023-11-28 09:41:29	ga_s2bm_ard_3-2-1_55KHB_2023-11-28_final.stac-item
2023-11-28 09:41:41	ga_s2bm_ard_3-2-1_56KKF_2023-11-28_final.stac-item
2023-11-28 09:41:42	ga_s2bm_ard_3-2-1_55KHA_2023-11-28_nrt.stac-item
2023-11-28 09:41:43	ga_s2bm_ard_3-2-1_56KNE_2023-11-28_nrt.stac-item
2023-11-28 09:41:49	ga_s2bm_ard_3-2-1_56KME_2023-11-28_final.stac-item
2023-11-28 09:41:52	ga_s2bm_ard_3-2-1_56KLE_2023-11-28_final.stac-item
2023-11-28 09:42:10	ga_s2bm_ard_3-2-1_56KKD_2023-11-28_nrt.stac-item
2023-11-28 09:42:11	ga_s2bm_ard_3-2-1_55KHU_2023-11-28_nrt.stac-item
2023-11-28 09:42:25	ga_s2bm_ard_3-2-1_56KKC_2023-11-28_nrt.stac-item
2023-11-28 09:42:25	ga_s2bm_ard_3-2-1_55KHT_2023-11-28_nrt.stac-item
2023-11-28 09:42:30	ga_s2bm_ard_3-2-1_55KGT_2023-11-28_final.stac-item
2023-11-28 09:42:39	ga_s2bm_ard_3-2-1_56KKB_2023-11-28_final.stac-item
2023-11-28 09:43:08	ga_s2bm_ard_3-2-1_56KKV_2023-11-28_final.stac-item
2023-11-28 09:43:19	ga_s2bm_ard_3-2-1_56KLU_2023-11-28_final.stac-item
2023-11-28 09:43:34	ga_s2bm_ard_3-2-1_56JLT_2023-11-28_final.stac-item
2023-11-28 09:43:44	ga_s2bm_ard_3-2-1_55JFN_2023-11-28_final.stac-item
2023-11-28 09:43:52	ga_s2bm_ard_3-2-1_55JHM_2023-11-28_final.stac-item
2023-11-28 09:45:01	ga_s2bm_ard_3-2-1_55JEH_2023-11-28_final.stac-item
2023-11-28 09:45:30	ga_s2bm_ard_3-2-1_55JEF_2023-11-28_final.stac-item
2023-11-28 09:45:34	ga_s2bm_ard_3-2-1_55JDF_2023-11-28_final.stac-item
2023-11-28 09:45:51	ga_s2bm_ard_3-2-1_55HGD_2023-11-28_final.stac-item
2023-11-28 09:46:04	ga_s2bm_ard_3-2-1_55HGC_2023-11-28_final.stac-item
2023-11-28 09:46:17	ga_s2bm_ard_3-2-1_55HDC_2023-11-28_final.stac-item
2023-11-28 09:46:38	ga_s2bm_ard_3-2-1_55HFA_2023-11-28_final.stac-item
2023-11-28 09:46:42	ga_s2bm_ard_3-2-1_55HEA_2023-11-28_final.stac-item
2023-11-28 09:46:49	ga_s2bm_ard_3-2-1_55HCA_2023-11-28_final.stac-item
2023-11-28 09:46:53	ga_s2bm_ard_3-2-1_55HFV_2023-11-28_final.stac-item
2023-11-28 09:46:57	ga_s2bm_ard_3-2-1_55HEV_2023-11-28_final.stac-item
2023-11-28 09:47:00	ga_s2bm_ard_3-2-1_55HDV_2023-11-28_final.stac-item
2023-11-28 09:47:03	ga_s2bm_ard_3-2-1_55HCV_2023-11-28_final.stac-item
2023-11-28 09:47:08	ga_s2bm_ard_3-2-1_55HDV_2023-11-28_final.stac-item
2023-11-28 09:47:09	ga_s2bm_ard_3-2-1_55HCV_2023-11-28_final.stac-item
2023-11-28 09:47:55	ga_s2bm_ard_3-2-1_55GER_2023-11-28_final.stac-item
2023-11-28 09:47:58	ga_s2bm_ard_3-2-1_55GDR_2023-11-28_final.stac-item
2023-11-28 09:48:02	ga_s2bm_ard_3-2-1_55GCR_2023-11-28_final.stac-item
2023-11-28 09:48:05	ga_s2bm_ard_3-2-1_55GBR_2023-11-28_final.stac-item
2023-11-28 09:48:05	ga_s2bm_ard_3-2-1_54GYA_2023-11-28_final.stac-item
2023-11-28 09:48:18	ga_s2bm_ard_3-2-1_55GEP_2023-11-28_final.stac-item
2023-11-28 09:48:20	ga_s2bm_ard_3-2-1_55GBQ_2023-11-28_final.stac-item
2023-11-28 09:48:27	ga_s2bm_ard_3-2-1_55GDP_2023-11-28_final.stac-item
2023-11-28 09:48:31	ga_s2bm_ard_3-2-1_55GCP_2023-11-28_final.stac-item
2023-11-28 09:48:34	ga_s2bm_ard_3-2-1_54GYU_2023-11-28_nrt.stac-item
2023-11-28 09:48:34	ga_s2bm_ard_3-2-1_55GBP_2023-11-28_nrt.stac-item
2023-11-28 09:48:39	ga_s2bm_ard_3-2-1_54GXU_2023-11-28_nrt.stac-item
2023-11-28 11:20:12	ga_s2bm_ard_3-2-1_52LEP_2023-11-28_nrt.stac-item
2023-11-28 11:20:16	ga_s2bm_ard_3-2-1_52LDP_2023-11-28_nrt.stac-item
2023-11-28 11:20:19	ga_s2bm_ard_3-2-1_52LCP_2023-11-28_nrt.stac-item
2023-11-28 11:20:23	ga_s2bm_ard_3-2-1_52LBP_2023-11-28_nrt.stac-item
2023-11-28 11:20:41	ga_s2bm_ard_3-2-1_52LEM_2023-11-28_nrt.stac-item
2023-11-28 11:20:45	ga_s2bm_ard_3-2-1_52LDM_2023-11-28_nrt.stac-item
2023-11-28 11:20:54	ga_s2bm_ard_3-2-1_52LEL_2023-11-28_final.stac-item
2023-11-28 11:20:59	ga_s2bm_ard_3-2-1_52LDL_2023-11-28_nrt.stac-item
2023-11-28 11:21:03	ga_s2bm_ard_3-2-1_52LCL_2023-11-28_nrt.stac-item
2023-11-28 11:21:06	ga_s2bm_ard_3-2-1_52LBL_2023-11-28_nrt.stac-item
2023-11-28 11:21:07	ga_s2bm_ard_3-2-1_51LZF_2023-11-28_nrt.stac-item
2023-11-28 11:21:14	ga_s2bm_ard_3-2-1_52LDK_2023-11-28_nrt.stac-item
2023-11-28 11:21:18	ga_s2bm_ard_3-2-1_52LCK_2023-11-28_final.stac-item
2023-11-28 11:21:28	ga_s2bm_ard_3-2-1_52LDJ_2023-11-28_final.stac-item
2023-11-28 11:21:32	ga_s2bm_ard_3-2-1_52LCJ_2023-11-28_final.stac-item
2023-11-28 11:21:35	ga_s2bm_ard_3-2-1_52LBJ_2023-11-28_final.stac-item
2023-11-28 11:21:36	ga_s2bm_ard_3-2-1_51LZD_2023-11-28_final.stac-item
2023-11-28 11:22:04	ga_s2bm_ard_3-2-1_52KBG_2023-11-28_final.stac-item
2023-11-28 11:22:05	ga_s2bm_ard_3-2-1_51KZB_2023-11-28_final.stac-item
2023-11-28 11:22:08	ga_s2bm_ard_3-2-1_51KYB_2023-11-28_final.stac-item
2023-11-28 11:22:09	ga_s2bm_ard_3-2-1_52KDF_2023-11-28_final.stac-item
2023-11-28 11:22:19	ga_s2bm_ard_3-2-1_52KBF_2023-11-28_final.stac-item
2023-11-28 11:22:20	ga_s2bm_ard_3-2-1_51KZA_2023-11-28_final.stac-item
2023-11-28 11:22:23	ga_s2bm_ard_3-2-1_51KYA_2023-11-28_final.stac-item
2023-11-28 11:22:33	ga_s2bm_ard_3-2-1_52KCE_2023-11-28_final.stac-item
2023-11-28 11:22:36	ga_s2bm_ard_3-2-1_51KZV_2023-11-28_final.stac-item
2023-11-28 11:22:48	ga_s2bm_ard_3-2-1_52KBD_2023-11-28_final.stac-item
2023-11-28 11:22:49	ga_s2bm_ard_3-2-1_51KZU_2023-11-28_final.stac-item
2023-11-28 11:22:52	ga_s2bm_ard_3-2-1_51KYU_2023-11-28_final.stac-item
2023-11-28 11:23:03	ga_s2bm_ard_3-2-1_52KBC_2023-11-28_final.stac-item
2023-11-28 11:23:03	ga_s2bm_ard_3-2-1_51KZT_2023-11-28_final.stac-item
2023-11-28 11:23:07	ga_s2bm_ard_3-2-1_51KYT_2023-11-28_final.stac-item
2023-11-28 11:23:17	ga_s2bm_ard_3-2-1_52KBB_2023-11-28_final.stac-item
2023-11-28 11:23:46	ga_s2bm_ard_3-2-1_52KBV_2023-11-28_final.stac-item
2023-11-28 11:24:08	ga_s2bm_ard_3-2-1_51KXP_2023-11-28_final.stac-item
2023-11-28 11:24:23	ga_s2bm_ard_3-2-1_51JXN_2023-11-28_final.stac-item
2023-11-28 11:24:26	ga_s2bm_ard_3-2-1_51JWN_2023-11-28_final.stac-item
2023-11-28 11:24:29	ga_s2bm_ard_3-2-1_51JZM_2023-11-28_final.stac-item
2023-11-28 11:24:41	ga_s2bm_ard_3-2-1_51JWM_2023-11-28_final.stac-item
2023-11-28 11:25:21	ga_s2bm_ard_3-2-1_51JXJ_2023-11-28_final.stac-item
2023-11-28 11:25:39	ga_s2bm_ard_3-2-1_51JWH_2023-11-28_final.stac-item
2023-11-28 11:25:42	ga_s2bm_ard_3-2-1_51JVH_2023-11-28_final.stac-item
2023-11-28 11:25:57	ga_s2bm_ard_3-2-1_51JVG_2023-11-28_final.stac-item
2023-11-28 11:26:08	ga_s2bm_ard_3-2-1_51JWF_2023-11-28_final.stac-item
2023-11-28 11:26:11	ga_s2bm_ard_3-2-1_51JVF_2023-11-28_final.stac-item
2023-11-28 11:26:51	ga_s2bm_ard_3-2-1_51HWC_2023-11-28_final.stac-item
2023-11-28 11:27:04	ga_s2bm_ard_3-2-1_51HTC_2023-11-28_final.stac-item
2023-11-28 11:27:05	ga_s2bm_ard_3-2-1_51HWB_2023-11-28_final.stac-item
2023-11-28 11:27:07	ga_s2bm_ard_3-2-1_51HVB_2023-11-28_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

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