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
2023-09-19 11:21:29	ga_s2bm_ard_3-2-1_51LZE_2023-09-19_final.stac-item
2023-09-19 11:21:36	ga_s2bm_ard_3-2-1_52LDJ_2023-09-19_final.stac-item
2023-09-19 11:21:42	ga_s2bm_ard_3-2-1_52LBJ_2023-09-19_final.stac-item
2023-09-19 11:21:43	ga_s2bm_ard_3-2-1_51LZD_2023-09-19_final.stac-item
2023-09-19 11:21:54	ga_s2bm_ard_3-2-1_52LCH_2023-09-19_final.stac-item
2023-09-19 11:21:57	ga_s2bm_ard_3-2-1_52LBH_2023-09-19_final.stac-item
2023-09-19 11:22:02	ga_s2bm_ard_3-2-1_51LYC_2023-09-19_final.stac-item
2023-09-19 11:22:04	ga_s2bm_ard_3-2-1_52KDG_2023-09-19_final.stac-item
2023-09-19 11:22:26	ga_s2bm_ard_3-2-1_52KBF_2023-09-19_final.stac-item
2023-09-19 11:22:27	ga_s2bm_ard_3-2-1_51KZA_2023-09-19_final.stac-item
2023-09-19 11:22:40	ga_s2bm_ard_3-2-1_52KBE_2023-09-19_final.stac-item
2023-09-19 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2023-09-19_final.stac-item
2023-09-19 11:23:24	ga_s2bm_ard_3-2-1_52KBB_2023-09-19_final.stac-item
2023-09-19 11:23:28	ga_s2bm_ard_3-2-1_51KYS_2023-09-19_final.stac-item
2023-09-19 11:23:32	ga_s2bm_ard_3-2-1_51KXS_2023-09-19_final.stac-item
2023-09-19 11:23:38	ga_s2bm_ard_3-2-1_52KBA_2023-09-19_final.stac-item
2023-09-19 11:23:39	ga_s2bm_ard_3-2-1_51KZR_2023-09-19_final.stac-item
2023-09-19 11:23:43	ga_s2bm_ard_3-2-1_51KYR_2023-09-19_final.stac-item
2023-09-19 11:23:46	ga_s2bm_ard_3-2-1_51KXR_2023-09-19_final.stac-item
2023-09-19 11:23:53	ga_s2bm_ard_3-2-1_51KZQ_2023-09-19_final.stac-item
2023-09-19 11:24:01	ga_s2bm_ard_3-2-1_51KXQ_2023-09-19_final.stac-item
2023-09-19 11:24:05	ga_s2bm_ard_3-2-1_51KWQ_2023-09-19_final.stac-item
2023-09-19 11:24:18	ga_s2bm_ard_3-2-1_51KWP_2023-09-19_final.stac-item
2023-09-19 11:24:22	ga_s2bm_ard_3-2-1_51JZN_2023-09-19_final.stac-item
2023-09-19 11:24:26	ga_s2bm_ard_3-2-1_51JYN_2023-09-19_final.stac-item
2023-09-19 11:24:36	ga_s2bm_ard_3-2-1_51JZM_2023-09-19_final.stac-item
2023-09-19 11:24:40	ga_s2bm_ard_3-2-1_51JYM_2023-09-19_final.stac-item
2023-09-19 11:24:44	ga_s2bm_ard_3-2-1_51JXM_2023-09-19_final.stac-item
2023-09-19 11:24:48	ga_s2bm_ard_3-2-1_51JWM_2023-09-19_final.stac-item
2023-09-19 11:25:02	ga_s2bm_ard_3-2-1_51JWL_2023-09-19_final.stac-item
2023-09-19 11:25:24	ga_s2bm_ard_3-2-1_51JYJ_2023-09-19_final.stac-item
2023-09-19 11:25:28	ga_s2bm_ard_3-2-1_51JXJ_2023-09-19_final.stac-item
2023-09-19 11:25:31	ga_s2bm_ard_3-2-1_51JWJ_2023-09-19_final.stac-item
2023-09-19 11:25:37	ga_s2bm_ard_3-2-1_51JYH_2023-09-19_final.stac-item
2023-09-19 11:25:42	ga_s2bm_ard_3-2-1_51JXH_2023-09-19_final.stac-item
2023-09-19 11:26:00	ga_s2bm_ard_3-2-1_51JWG_2023-09-19_final.stac-item
2023-09-19 11:26:03	ga_s2bm_ard_3-2-1_51JVG_2023-09-19_final.stac-item
2023-09-19 11:26:07	ga_s2bm_ard_3-2-1_51JXF_2023-09-19_final.stac-item
2023-09-19 11:26:08	ga_s2bm_ard_3-2-1_51JUG_2023-09-19_final.stac-item
2023-09-19 11:26:09	ga_s2bm_ard_3-2-1_51JWF_2023-09-19_final.stac-item
2023-09-19 11:26:14	ga_s2bm_ard_3-2-1_51JXF_2023-09-19_final.stac-item
2023-09-19 11:26:16	ga_s2bm_ard_3-2-1_51JWF_2023-09-19_final.stac-item
2023-09-19 11:26:21	ga_s2bm_ard_3-2-1_51JUF_2023-09-19_final.stac-item
2023-09-19 11:26:26	ga_s2bm_ard_3-2-1_51HXE_2023-09-19_final.stac-item
2023-09-19 11:26:36	ga_s2bm_ard_3-2-1_51HUE_2023-09-19_final.stac-item
2023-09-19 11:26:39	ga_s2bm_ard_3-2-1_51HXD_2023-09-19_final.stac-item
2023-09-19 11:26:44	ga_s2bm_ard_3-2-1_51HWD_2023-09-19_final.stac-item
2023-09-19 11:26:51	ga_s2bm_ard_3-2-1_51HUD_2023-09-19_final.stac-item
2023-09-19 11:26:51	ga_s2bm_ard_3-2-1_51HXC_2023-09-19_final.stac-item
2023-09-19 11:26:58	ga_s2bm_ard_3-2-1_51HWC_2023-09-19_final.stac-item
2023-09-19 11:27:05	ga_s2bm_ard_3-2-1_51HUC_2023-09-19_final.stac-item
2023-09-19 11:27:12	ga_s2bm_ard_3-2-1_51HWB_2023-09-19_final.stac-item
2023-09-19 11:27:14	ga_s2bm_ard_3-2-1_51HVB_2023-09-19_final.stac-item
2023-09-19 11:27:16	ga_s2bm_ard_3-2-1_51HUB_2023-09-19_final.stac-item
2023-09-19 11:27:18	ga_s2bm_ard_3-2-1_51HTB_2023-09-19_final.stac-item
2023-09-20 10:51:17	ga_s2bm_ard_3-2-1_53LLE_2023-09-20_final.stac-item
2023-09-20 10:51:32	ga_s2bm_ard_3-2-1_53LLD_2023-09-20_final.stac-item
2023-09-20 10:51:40	ga_s2bm_ard_3-2-1_53LLD_2023-09-20_final.stac-item
2023-09-20 10:51:44	ga_s2bm_ard_3-2-1_53KPB_2023-09-20_final.stac-item
2023-09-20 10:51:45	ga_s2bm_ard_3-2-1_53LMC_2023-09-20_final.stac-item
2023-09-20 10:51:58	ga_s2bm_ard_3-2-1_53KMB_2023-09-20_final.stac-item
2023-09-20 10:52:01	ga_s2bm_ard_3-2-1_53KLB_2023-09-20_final.stac-item
2023-09-20 10:52:05	ga_s2bm_ard_3-2-1_53KKB_2023-09-20_final.stac-item
2023-09-20 10:52:15	ga_s2bm_ard_3-2-1_53KLA_2023-09-20_final.stac-item
2023-09-20 10:52:23	ga_s2bm_ard_3-2-1_52KHF_2023-09-20_final.stac-item
2023-09-20 10:52:34	ga_s2bm_ard_3-2-1_52KHE_2023-09-20_final.stac-item
2023-09-20 10:52:49	ga_s2bm_ard_3-2-1_53KNT_2023-09-20_final.stac-item
2023-09-20 10:52:56	ga_s2bm_ard_3-2-1_53KMT_2023-09-20_final.stac-item
2023-09-20 10:52:59	ga_s2bm_ard_3-2-1_53KLT_2023-09-20_final.stac-item
2023-09-20 10:53:02	ga_s2bm_ard_3-2-1_53KKT_2023-09-20_final.stac-item
2023-09-20 10:53:10	ga_s2bm_ard_3-2-1_53KMS_2023-09-20_final.stac-item
2023-09-20 10:53:14	ga_s2bm_ard_3-2-1_53KLS_2023-09-20_final.stac-item
2023-09-20 10:53:17	ga_s2bm_ard_3-2-1_53KKS_2023-09-20_final.stac-item
2023-09-20 10:53:17	ga_s2bm_ard_3-2-1_52KHB_2023-09-20_final.stac-item
2023-09-20 10:53:28	ga_s2bm_ard_3-2-1_53KLR_2023-09-20_final.stac-item
2023-09-20 10:53:32	ga_s2bm_ard_3-2-1_52KHA_2023-09-20_final.stac-item
2023-09-20 10:53:36	ga_s2bm_ard_3-2-1_52KGA_2023-09-20_final.stac-item
2023-09-20 10:53:53	ga_s2bm_ard_3-2-1_53KMP_2023-09-20_final.stac-item
2023-09-20 10:54:01	ga_s2bm_ard_3-2-1_53KKP_2023-09-20_final.stac-item
2023-09-20 10:54:14	ga_s2bm_ard_3-2-1_53JKN_2023-09-20_final.stac-item
2023-09-20 10:54:19	ga_s2bm_ard_3-2-1_52JFT_2023-09-20_final.stac-item
2023-09-20 10:54:21	ga_s2bm_ard_3-2-1_53JKN_2023-09-20_final.stac-item
2023-09-20 10:54:25	ga_s2bm_ard_3-2-1_52JFT_2023-09-20_final.stac-item
2023-09-20 10:54:33	ga_s2bm_ard_3-2-1_52JGS_2023-09-20_final.stac-item
2023-09-20 10:54:37	ga_s2bm_ard_3-2-1_52JFS_2023-09-20_final.stac-item
2023-09-20 10:54:41	ga_s2bm_ard_3-2-1_53JLL_2023-09-20_final.stac-item
2023-09-20 10:54:48	ga_s2bm_ard_3-2-1_52JGR_2023-09-20_final.stac-item
2023-09-20 10:54:55	ga_s2bm_ard_3-2-1_53JLK_2023-09-20_final.stac-item
2023-09-20 10:54:59	ga_s2bm_ard_3-2-1_53JKK_2023-09-20_final.stac-item
2023-09-20 10:55:13	ga_s2bm_ard_3-2-1_53JKJ_2023-09-20_final.stac-item
2023-09-20 10:55:20	ga_s2bm_ard_3-2-1_52JFP_2023-09-20_final.stac-item
2023-09-20 10:55:35	ga_s2bm_ard_3-2-1_52JFN_2023-09-20_final.stac-item
2023-09-20 10:55:38	ga_s2bm_ard_3-2-1_52JEN_2023-09-20_final.stac-item
2023-09-20 10:55:53	ga_s2bm_ard_3-2-1_52JEM_2023-09-20_final.stac-item
2023-09-20 10:56:26	ga_s2bm_ard_3-2-1_52HDK_2023-09-20_final.stac-item
2023-09-29 11:20:18	ga_s2bm_ard_3-2-1_52LEP_2023-09-29_nrt.stac-item
2023-09-29 11:20:22	ga_s2bm_ard_3-2-1_52LDP_2023-09-29_nrt.stac-item
2023-09-29 11:20:33	ga_s2bm_ard_3-2-1_52LEN_2023-09-29_nrt.stac-item
2023-09-30 10:56:20	ga_s2bm_ard_3-2-1_52HEK_2023-09-30_nrt.stac-item
2023-09-30 10:56:22	ga_s2bm_ard_3-2-1_53HKD_2023-09-30_nrt.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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