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
2023-01-21 11:52:52	ga_s2bm_ard_3-2-1_51KTU_2023-01-21_final.stac-item
2023-01-25 11:31:18	ga_s2bm_ard_3-2-1_51LZE_2023-01-25_final.stac-item
2023-01-25 11:31:26	ga_s2bm_ard_3-2-1_51LZE_2023-01-25_final.stac-item
2023-01-25 11:31:26	ga_s2bm_ard_3-2-1_51LZD_2023-01-25_final.stac-item
2023-01-25 11:31:33	ga_s2bm_ard_3-2-1_51LZD_2023-01-25_final.stac-item
2023-01-25 11:31:40	ga_s2bm_ard_3-2-1_51LXD_2023-01-25_final.stac-item
2023-01-25 11:31:55	ga_s2bm_ard_3-2-1_51LXC_2023-01-25_final.stac-item
2023-01-25 11:31:58	ga_s2bm_ard_3-2-1_51LWC_2023-01-25_final.stac-item
2023-01-25 11:32:09	ga_s2bm_ard_3-2-1_51KXB_2023-01-25_final.stac-item
2023-01-25 11:32:12	ga_s2bm_ard_3-2-1_51KWB_2023-01-25_final.stac-item
2023-01-25 11:32:18	ga_s2bm_ard_3-2-1_51KVB_2023-01-25_final.stac-item
2023-01-25 11:32:24	ga_s2bm_ard_3-2-1_51KXA_2023-01-25_final.stac-item
2023-01-25 11:32:27	ga_s2bm_ard_3-2-1_51KWA_2023-01-25_final.stac-item
2023-01-25 11:32:30	ga_s2bm_ard_3-2-1_51KVA_2023-01-25_final.stac-item
2023-01-25 11:32:35	ga_s2bm_ard_3-2-1_51KYV_2023-01-25_final.stac-item
2023-01-25 11:32:42	ga_s2bm_ard_3-2-1_51KWV_2023-01-25_final.stac-item
2023-01-25 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2023-01-25_final.stac-item
2023-01-25 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2023-01-25_final.stac-item
2023-01-25 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2023-01-25_final.stac-item
2023-01-25 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2023-01-25_final.stac-item
2023-01-25 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2023-01-25_final.stac-item
2023-01-25 11:33:46	ga_s2bm_ard_3-2-1_51KUR_2023-01-25_final.stac-item
2023-01-25 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2023-01-25_final.stac-item
2023-01-25 11:34:03	ga_s2bm_ard_3-2-1_51KXP_2023-01-25_final.stac-item
2023-01-25 11:34:13	ga_s2bm_ard_3-2-1_51JXN_2023-01-25_final.stac-item
2023-01-25 11:34:30	ga_s2bm_ard_3-2-1_51JUN_2023-01-25_final.stac-item
2023-01-25 11:34:34	ga_s2bm_ard_3-2-1_51JTN_2023-01-25_final.stac-item
2023-01-25 11:34:35	ga_s2bm_ard_3-2-1_50JRT_2023-01-25_final.stac-item
2023-01-25 11:34:38	ga_s2bm_ard_3-2-1_51JWM_2023-01-25_final.stac-item
2023-01-25 11:34:47	ga_s2bm_ard_3-2-1_50JRS_2023-01-25_final.stac-item
2023-01-25 11:34:47	ga_s2bm_ard_3-2-1_51JTM_2023-01-25_final.stac-item
2023-01-25 11:34:52	ga_s2bm_ard_3-2-1_51JWL_2023-01-25_final.stac-item
2023-01-25 11:35:02	ga_s2bm_ard_3-2-1_51JTL_2023-01-25_final.stac-item
2023-01-25 11:35:10	ga_s2bm_ard_3-2-1_51JVK_2023-01-25_final.stac-item
2023-01-25 11:35:14	ga_s2bm_ard_3-2-1_51JUK_2023-01-25_final.stac-item
2023-01-25 11:35:17	ga_s2bm_ard_3-2-1_51JTK_2023-01-25_final.stac-item
2023-01-25 11:35:24	ga_s2bm_ard_3-2-1_51JVJ_2023-01-25_final.stac-item
2023-01-25 11:35:28	ga_s2bm_ard_3-2-1_51JUJ_2023-01-25_final.stac-item
2023-01-25 11:35:31	ga_s2bm_ard_3-2-1_51JTJ_2023-01-25_final.stac-item
2023-01-25 11:35:35	ga_s2bm_ard_3-2-1_50JQP_2023-01-25_final.stac-item
2023-01-25 11:35:43	ga_s2bm_ard_3-2-1_51JUH_2023-01-25_final.stac-item
2023-01-25 11:35:46	ga_s2bm_ard_3-2-1_51JTH_2023-01-25_final.stac-item
2023-01-25 11:35:48	ga_s2bm_ard_3-2-1_50JQN_2023-01-25_final.stac-item
2023-01-25 11:36:00	ga_s2bm_ard_3-2-1_51JTG_2023-01-25_final.stac-item
2023-01-25 11:36:03	ga_s2bm_ard_3-2-1_50JQM_2023-01-25_final.stac-item
2023-01-25 11:36:08	ga_s2bm_ard_3-2-1_51JVF_2023-01-25_final.stac-item
2023-01-25 11:36:12	ga_s2bm_ard_3-2-1_51JUF_2023-01-25_final.stac-item
2023-01-25 11:36:15	ga_s2bm_ard_3-2-1_51JTF_2023-01-25_final.stac-item
2023-01-25 11:36:18	ga_s2bm_ard_3-2-1_50JQL_2023-01-25_final.stac-item
2023-01-25 11:36:21	ga_s2bm_ard_3-2-1_51HVE_2023-01-25_final.stac-item
2023-01-25 11:36:25	ga_s2bm_ard_3-2-1_50JPL_2023-01-25_final.stac-item
2023-01-25 11:36:26	ga_s2bm_ard_3-2-1_51HUE_2023-01-25_final.stac-item
2023-01-25 11:36:30	ga_s2bm_ard_3-2-1_51HTE_2023-01-25_final.stac-item
2023-01-25 11:36:32	ga_s2bm_ard_3-2-1_51HVD_2023-01-25_final.stac-item
2023-01-25 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2023-01-25_final.stac-item
2023-01-25 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2023-01-25_final.stac-item
2023-01-25 11:36:41	ga_s2bm_ard_3-2-1_51HUD_2023-01-25_final.stac-item
2023-01-25 11:36:44	ga_s2bm_ard_3-2-1_51HTD_2023-01-25_final.stac-item
2023-01-25 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2023-01-25_final.stac-item
2023-01-25 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2023-01-25_final.stac-item
2023-01-25 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2023-01-25_final.stac-item
2023-01-25 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2023-01-25_final.stac-item
2023-01-25 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2023-01-25_final.stac-item
2023-01-25 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2023-01-25_final.stac-item
2023-01-26 11:01:53	ga_s2bm_ard_3-2-1_52KHG_2023-01-26_final.stac-item
2023-01-26 11:01:56	ga_s2bm_ard_3-2-1_52KFG_2023-01-26_final.stac-item
2023-01-26 11:01:59	ga_s2bm_ard_3-2-1_52KHG_2023-01-26_final.stac-item
2023-01-26 11:02:03	ga_s2bm_ard_3-2-1_52KFG_2023-01-26_final.stac-item
2023-01-26 11:02:38	ga_s2bm_ard_3-2-1_52KHD_2023-01-26_final.stac-item
2023-01-26 11:02:42	ga_s2bm_ard_3-2-1_52KGD_2023-01-26_final.stac-item
2023-01-26 11:02:45	ga_s2bm_ard_3-2-1_52KFD_2023-01-26_final.stac-item
2023-01-26 11:02:50	ga_s2bm_ard_3-2-1_52KED_2023-01-26_final.stac-item
2023-01-26 11:02:53	ga_s2bm_ard_3-2-1_52KHC_2023-01-26_final.stac-item
2023-01-26 11:02:56	ga_s2bm_ard_3-2-1_52KGC_2023-01-26_final.stac-item
2023-01-26 11:03:00	ga_s2bm_ard_3-2-1_52KFC_2023-01-26_final.stac-item
2023-01-26 11:03:11	ga_s2bm_ard_3-2-1_52KGB_2023-01-26_final.stac-item
2023-01-26 11:03:31	ga_s2bm_ard_3-2-1_52KHV_2023-01-26_final.stac-item
2023-01-26 11:03:32	ga_s2bm_ard_3-2-1_52KEA_2023-01-26_final.stac-item
2023-01-26 11:03:39	ga_s2bm_ard_3-2-1_52KGV_2023-01-26_final.stac-item
2023-01-26 11:03:52	ga_s2bm_ard_3-2-1_52KDV_2023-01-26_final.stac-item
2023-01-26 11:03:54	ga_s2bm_ard_3-2-1_52KGU_2023-01-26_final.stac-item
2023-01-26 11:03:58	ga_s2bm_ard_3-2-1_52KFU_2023-01-26_final.stac-item
2023-01-26 11:04:09	ga_s2bm_ard_3-2-1_52JGT_2023-01-26_final.stac-item
2023-01-26 11:04:12	ga_s2bm_ard_3-2-1_52JFT_2023-01-26_final.stac-item
2023-01-26 11:04:16	ga_s2bm_ard_3-2-1_52JET_2023-01-26_final.stac-item
2023-01-26 11:04:27	ga_s2bm_ard_3-2-1_52JFS_2023-01-26_final.stac-item
2023-01-26 11:04:30	ga_s2bm_ard_3-2-1_52JES_2023-01-26_final.stac-item
2023-01-26 11:04:34	ga_s2bm_ard_3-2-1_52JDS_2023-01-26_final.stac-item
2023-01-26 11:04:48	ga_s2bm_ard_3-2-1_52JDR_2023-01-26_final.stac-item
2023-01-26 11:04:54	ga_s2bm_ard_3-2-1_52JCR_2023-01-26_final.stac-item
2023-01-26 11:05:06	ga_s2bm_ard_3-2-1_52JFP_2023-01-26_final.stac-item
2023-01-26 11:05:13	ga_s2bm_ard_3-2-1_52JFP_2023-01-26_final.stac-item
2023-01-26 11:05:24	ga_s2bm_ard_3-2-1_52JFN_2023-01-26_final.stac-item
2023-01-26 11:05:28	ga_s2bm_ard_3-2-1_52JEN_2023-01-26_final.stac-item
2023-01-26 11:05:35	ga_s2bm_ard_3-2-1_52JCN_2023-01-26_final.stac-item
2023-01-26 11:05:50	ga_s2bm_ard_3-2-1_52JCM_2023-01-26_final.stac-item
2023-01-26 11:05:56	ga_s2bm_ard_3-2-1_52JBM_2023-01-26_final.stac-item
2023-01-26 11:06:08	ga_s2bm_ard_3-2-1_52JBL_2023-01-26_final.stac-item
2023-01-26 11:06:35	ga_s2bm_ard_3-2-1_51HYD_2023-01-26_final.stac-item
2023-02-05 11:06:32	ga_s2bm_ard_3-2-1_52HBJ_2023-02-05_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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