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
2023-04-05 11:31:21	ga_s2bm_ard_3-2-1_52LBK_2023-04-05_final.stac-item
2023-04-05 11:31:24	ga_s2bm_ard_3-2-1_51LZE_2023-04-05_final.stac-item
2023-04-05 11:31:32	ga_s2bm_ard_3-2-1_52LBJ_2023-04-05_final.stac-item
2023-04-05 11:31:38	ga_s2bm_ard_3-2-1_51LZD_2023-04-05_final.stac-item
2023-04-05 11:31:45	ga_s2bm_ard_3-2-1_51LXD_2023-04-05_final.stac-item
2023-04-05 11:32:00	ga_s2bm_ard_3-2-1_51LXC_2023-04-05_final.stac-item
2023-04-05 11:32:03	ga_s2bm_ard_3-2-1_51LWC_2023-04-05_final.stac-item
2023-04-05 11:32:50	ga_s2bm_ard_3-2-1_51KVV_2023-04-05_final.stac-item
2023-04-05 11:32:53	ga_s2bm_ard_3-2-1_51KYU_2023-04-05_final.stac-item
2023-04-05 11:32:58	ga_s2bm_ard_3-2-1_51KXU_2023-04-05_final.stac-item
2023-04-05 11:33:01	ga_s2bm_ard_3-2-1_51KWU_2023-04-05_final.stac-item
2023-04-05 11:33:04	ga_s2bm_ard_3-2-1_51KVU_2023-04-05_final.stac-item
2023-04-05 11:33:05	ga_s2bm_ard_3-2-1_51KYT_2023-04-05_final.stac-item
2023-04-05 11:33:12	ga_s2bm_ard_3-2-1_51KXT_2023-04-05_final.stac-item
2023-04-05 11:33:16	ga_s2bm_ard_3-2-1_51KWT_2023-04-05_final.stac-item
2023-04-05 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2023-04-05_final.stac-item
2023-04-05 11:33:30	ga_s2bm_ard_3-2-1_51KWS_2023-04-05_final.stac-item
2023-04-05 11:33:45	ga_s2bm_ard_3-2-1_51KWR_2023-04-05_final.stac-item
2023-04-05 11:33:48	ga_s2bm_ard_3-2-1_51KVR_2023-04-05_final.stac-item
2023-04-05 11:33:55	ga_s2bm_ard_3-2-1_51KXQ_2023-04-05_final.stac-item
2023-04-05 11:34:03	ga_s2bm_ard_3-2-1_51KVQ_2023-04-05_final.stac-item
2023-04-05 11:34:06	ga_s2bm_ard_3-2-1_51KUQ_2023-04-05_final.stac-item
2023-04-05 11:34:08	ga_s2bm_ard_3-2-1_51KXP_2023-04-05_final.stac-item
2023-04-05 11:34:18	ga_s2bm_ard_3-2-1_51JXN_2023-04-05_final.stac-item
2023-04-05 11:34:20	ga_s2bm_ard_3-2-1_51KUP_2023-04-05_final.stac-item
2023-04-05 11:34:35	ga_s2bm_ard_3-2-1_51JUN_2023-04-05_final.stac-item
2023-04-05 11:34:43	ga_s2bm_ard_3-2-1_51JWM_2023-04-05_final.stac-item
2023-04-05 11:34:57	ga_s2bm_ard_3-2-1_51JWL_2023-04-05_final.stac-item
2023-04-05 11:35:07	ga_s2bm_ard_3-2-1_51JTL_2023-04-05_final.stac-item
2023-04-05 11:35:15	ga_s2bm_ard_3-2-1_51JVK_2023-04-05_final.stac-item
2023-04-05 11:35:30	ga_s2bm_ard_3-2-1_51JVJ_2023-04-05_final.stac-item
2023-04-05 11:36:02	ga_s2bm_ard_3-2-1_51JUG_2023-04-05_final.stac-item
2023-04-05 11:36:06	ga_s2bm_ard_3-2-1_51JTG_2023-04-05_final.stac-item
2023-04-05 11:36:08	ga_s2bm_ard_3-2-1_50JQM_2023-04-05_final.stac-item
2023-04-05 11:36:13	ga_s2bm_ard_3-2-1_51JVF_2023-04-05_final.stac-item
2023-04-05 11:36:17	ga_s2bm_ard_3-2-1_51JUF_2023-04-05_final.stac-item
2023-04-05 11:36:20	ga_s2bm_ard_3-2-1_51JTF_2023-04-05_final.stac-item
2023-04-05 11:36:23	ga_s2bm_ard_3-2-1_50JQL_2023-04-05_final.stac-item
2023-04-05 11:36:26	ga_s2bm_ard_3-2-1_51HVE_2023-04-05_final.stac-item
2023-04-05 11:36:29	ga_s2bm_ard_3-2-1_50JPL_2023-04-05_final.stac-item
2023-04-05 11:36:37	ga_s2bm_ard_3-2-1_51HVD_2023-04-05_final.stac-item
2023-04-05 11:36:37	ga_s2bm_ard_3-2-1_50HQK_2023-04-05_final.stac-item
2023-04-05 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2023-04-05_final.stac-item
2023-04-05 11:36:46	ga_s2bm_ard_3-2-1_51HUD_2023-04-05_final.stac-item
2023-04-05 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2023-04-05_final.stac-item
2023-04-05 11:37:18	ga_s2bm_ard_3-2-1_51HTB_2023-04-05_final.stac-item
2023-04-05 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2023-04-05_final.stac-item
2023-04-05 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2023-04-05_final.stac-item
2023-04-06 11:01:05	ga_s2bm_ard_3-2-1_52LGL_2023-04-06_final.stac-item
2023-04-06 11:01:49	ga_s2bm_ard_3-2-1_52LGH_2023-04-06_final.stac-item
2023-04-06 11:02:06	ga_s2bm_ard_3-2-1_52KFG_2023-04-06_final.stac-item
2023-04-06 11:02:37	ga_s2bm_ard_3-2-1_52KHD_2023-04-06_final.stac-item
2023-04-06 11:02:44	ga_s2bm_ard_3-2-1_52KHD_2023-04-06_final.stac-item
2023-04-06 11:02:47	ga_s2bm_ard_3-2-1_52KGD_2023-04-06_final.stac-item
2023-04-06 11:02:50	ga_s2bm_ard_3-2-1_52KFD_2023-04-06_final.stac-item
2023-04-06 11:02:58	ga_s2bm_ard_3-2-1_52KHC_2023-04-06_final.stac-item
2023-04-06 11:03:05	ga_s2bm_ard_3-2-1_52KFC_2023-04-06_final.stac-item
2023-04-06 11:03:16	ga_s2bm_ard_3-2-1_52KGB_2023-04-06_final.stac-item
2023-04-06 11:03:23	ga_s2bm_ard_3-2-1_52KEB_2023-04-06_final.stac-item
2023-04-06 11:03:44	ga_s2bm_ard_3-2-1_52KGV_2023-04-06_final.stac-item
2023-04-06 11:04:03	ga_s2bm_ard_3-2-1_52KFU_2023-04-06_final.stac-item
2023-04-06 11:04:09	ga_s2bm_ard_3-2-1_52KDU_2023-04-06_final.stac-item
2023-04-06 11:04:14	ga_s2bm_ard_3-2-1_52JGT_2023-04-06_final.stac-item
2023-04-06 11:04:17	ga_s2bm_ard_3-2-1_52JFT_2023-04-06_final.stac-item
2023-04-06 11:04:21	ga_s2bm_ard_3-2-1_52JET_2023-04-06_final.stac-item
2023-04-06 11:04:32	ga_s2bm_ard_3-2-1_52JFS_2023-04-06_final.stac-item
2023-04-06 11:04:35	ga_s2bm_ard_3-2-1_52JES_2023-04-06_final.stac-item
2023-04-06 11:04:39	ga_s2bm_ard_3-2-1_52JDS_2023-04-06_final.stac-item
2023-04-06 11:04:53	ga_s2bm_ard_3-2-1_52JDR_2023-04-06_final.stac-item
2023-04-06 11:04:58	ga_s2bm_ard_3-2-1_52JCR_2023-04-06_final.stac-item
2023-04-06 11:05:15	ga_s2bm_ard_3-2-1_52JFP_2023-04-06_final.stac-item
2023-04-06 11:05:29	ga_s2bm_ard_3-2-1_52JFN_2023-04-06_final.stac-item
2023-04-06 11:05:33	ga_s2bm_ard_3-2-1_52JEN_2023-04-06_final.stac-item
2023-04-06 11:05:40	ga_s2bm_ard_3-2-1_52JCN_2023-04-06_final.stac-item
2023-04-06 11:05:48	ga_s2bm_ard_3-2-1_52JEM_2023-04-06_final.stac-item
2023-04-06 11:05:55	ga_s2bm_ard_3-2-1_52JCM_2023-04-06_final.stac-item
2023-04-06 11:06:13	ga_s2bm_ard_3-2-1_52JBL_2023-04-06_final.stac-item
2023-04-07 12:13:42	ga_s2bm_ard_3-2-1_50KKB_2023-04-07_final.stac-item
2023-04-07 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2023-04-07_final.stac-item
2023-04-07 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2023-04-07_final.stac-item
2023-04-07 12:14:33	ga_s2bm_ard_3-2-1_49JHN_2023-04-07_final.stac-item
2023-04-07 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2023-04-07_final.stac-item
2023-04-07 12:15:22	ga_s2bm_ard_3-2-1_49JGK_2023-04-07_final.stac-item
2023-04-18 11:40:33	ga_s2bm_ard_3-2-1_51LVJ_2023-04-18_nrt.stac-item
2023-04-18 11:40:37	ga_s2bm_ard_3-2-1_51LUJ_2023-04-18_nrt.stac-item
2023-04-18 11:40:47	ga_s2bm_ard_3-2-1_51LVH_2023-04-18_nrt.stac-item
2023-04-18 11:40:50	ga_s2bm_ard_3-2-1_51LUH_2023-04-18_nrt.stac-item
2023-04-18 11:40:55	ga_s2bm_ard_3-2-1_51LXG_2023-04-18_nrt.stac-item
2023-04-18 11:41:05	ga_s2bm_ard_3-2-1_51LUG_2023-04-18_nrt.stac-item
2023-04-18 11:41:08	ga_s2bm_ard_3-2-1_51LXF_2023-04-18_nrt.stac-item
2023-04-18 11:41:19	ga_s2bm_ard_3-2-1_51LXE_2023-04-18_nrt.stac-item
2023-04-18 11:41:39	ga_s2bm_ard_3-2-1_51LTE_2023-04-18_nrt.stac-item
2023-04-18 11:41:42	ga_s2bm_ard_3-2-1_51LWD_2023-04-18_nrt.stac-item
2023-04-18 11:41:52	ga_s2bm_ard_3-2-1_51LTD_2023-04-18_nrt.stac-item
2023-04-18 11:42:06	ga_s2bm_ard_3-2-1_51LTC_2023-04-18_nrt.stac-item
2023-04-18 11:42:22	ga_s2bm_ard_3-2-1_50KRG_2023-04-18_nrt.stac-item
2023-04-18 11:42:36	ga_s2bm_ard_3-2-1_50KRF_2023-04-18_nrt.stac-item
2023-04-18 11:42:51	ga_s2bm_ard_3-2-1_50KRE_2023-04-18_nrt.stac-item
2023-04-18 11:47:31	ga_s2bm_ard_3-2-1_50HPF_2023-04-18_nrt.stac-item
2023-04-18 11:47:33	ga_s2bm_ard_3-2-1_50HNF_2023-04-18_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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