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
2023-05-07 12:14:48	ga_s2bm_ard_3-2-1_49JFN_2023-05-07_final.stac-item
2023-05-07 12:15:24	ga_s2bm_ard_3-2-1_49JFK_2023-05-07_nrt.stac-item
2023-05-08 08:31:42	ga_s2bm_ard_3-2-1_57FVV_2023-05-07_final.stac-item
2023-05-08 08:31:48	ga_s2bm_ard_3-2-1_57FVV_2023-05-07_final.stac-item
2023-05-08 10:00:22	ga_s2bm_ard_3-2-1_55LEG_2023-05-08_nrt.stac-item
2023-05-08 10:00:25	ga_s2bm_ard_3-2-1_55LDG_2023-05-08_nrt.stac-item
2023-05-08 10:00:30	ga_s2bm_ard_3-2-1_55LGF_2023-05-08_nrt.stac-item
2023-05-08 10:00:33	ga_s2bm_ard_3-2-1_55LFF_2023-05-08_nrt.stac-item
2023-05-08 10:00:37	ga_s2bm_ard_3-2-1_55LEF_2023-05-08_nrt.stac-item
2023-05-08 10:00:40	ga_s2bm_ard_3-2-1_55LDF_2023-05-08_nrt.stac-item
2023-05-08 10:00:54	ga_s2bm_ard_3-2-1_55LGD_2023-05-08_nrt.stac-item
2023-05-08 10:01:57	ga_s2bm_ard_3-2-1_55KFV_2023-05-08_nrt.stac-item
2023-05-08 10:02:17	ga_s2bm_ard_3-2-1_55KBV_2023-05-08_final.stac-item
2023-05-08 10:02:18	ga_s2bm_ard_3-2-1_55KEU_2023-05-08_final.stac-item
2023-05-08 10:02:22	ga_s2bm_ard_3-2-1_55KDU_2023-05-08_final.stac-item
2023-05-08 10:02:33	ga_s2bm_ard_3-2-1_55KET_2023-05-08_final.stac-item
2023-05-08 10:02:36	ga_s2bm_ard_3-2-1_55KDT_2023-05-08_final.stac-item
2023-05-08 10:02:42	ga_s2bm_ard_3-2-1_55KBT_2023-05-08_final.stac-item
2023-05-08 10:02:54	ga_s2bm_ard_3-2-1_55KCS_2023-05-08_final.stac-item
2023-05-08 10:03:08	ga_s2bm_ard_3-2-1_55KCR_2023-05-08_final.stac-item
2023-05-08 10:03:34	ga_s2bm_ard_3-2-1_55KDP_2023-05-08_final.stac-item
2023-05-08 10:03:52	ga_s2bm_ard_3-2-1_55JCN_2023-05-08_final.stac-item
2023-05-08 10:03:55	ga_s2bm_ard_3-2-1_55JBN_2023-05-08_final.stac-item
2023-05-08 10:04:07	ga_s2bm_ard_3-2-1_55JCM_2023-05-08_final.stac-item
2023-05-08 10:04:26	ga_s2bm_ard_3-2-1_55JDK_2023-05-08_final.stac-item
2023-05-08 10:04:36	ga_s2bm_ard_3-2-1_55JCK_2023-05-08_final.stac-item
2023-05-08 10:04:39	ga_s2bm_ard_3-2-1_55JBK_2023-05-08_final.stac-item
2023-05-08 10:04:46	ga_s2bm_ard_3-2-1_54JXQ_2023-05-08_final.stac-item
2023-05-08 10:05:00	ga_s2bm_ard_3-2-1_54JXP_2023-05-08_final.stac-item
2023-05-08 10:05:08	ga_s2bm_ard_3-2-1_55JBH_2023-05-08_final.stac-item
2023-05-08 10:05:26	ga_s2bm_ard_3-2-1_54JYM_2023-05-08_final.stac-item
2023-05-08 10:05:31	ga_s2bm_ard_3-2-1_55JCF_2023-05-08_final.stac-item
2023-05-08 10:05:35	ga_s2bm_ard_3-2-1_54JWM_2023-05-08_final.stac-item
2023-05-08 10:05:37	ga_s2bm_ard_3-2-1_54JXM_2023-05-08_final.stac-item
2023-05-08 10:05:37	ga_s2bm_ard_3-2-1_55JCF_2023-05-08_final.stac-item
2023-05-08 10:05:38	ga_s2bm_ard_3-2-1_54JWM_2023-05-08_final.stac-item
2023-05-08 10:05:40	ga_s2bm_ard_3-2-1_55JBF_2023-05-08_final.stac-item
2023-05-08 10:06:21	ga_s2bm_ard_3-2-1_55HBC_2023-05-08_final.stac-item
2023-05-08 10:06:23	ga_s2bm_ard_3-2-1_54HYH_2023-05-08_final.stac-item
2023-05-08 10:06:35	ga_s2bm_ard_3-2-1_55HBB_2023-05-08_final.stac-item
2023-05-08 10:06:37	ga_s2bm_ard_3-2-1_54HYG_2023-05-08_final.stac-item
2023-05-08 10:06:45	ga_s2bm_ard_3-2-1_54HWG_2023-05-08_final.stac-item
2023-05-08 10:06:48	ga_s2bm_ard_3-2-1_55HBA_2023-05-08_final.stac-item
2023-05-08 10:06:49	ga_s2bm_ard_3-2-1_54HVG_2023-05-08_final.stac-item
2023-05-08 10:06:52	ga_s2bm_ard_3-2-1_54HYF_2023-05-08_final.stac-item
2023-05-08 10:06:56	ga_s2bm_ard_3-2-1_54HXF_2023-05-08_final.stac-item
2023-05-08 10:07:06	ga_s2bm_ard_3-2-1_54HYE_2023-05-08_final.stac-item
2023-05-08 10:07:10	ga_s2bm_ard_3-2-1_54HXE_2023-05-08_final.stac-item
2023-05-08 10:07:17	ga_s2bm_ard_3-2-1_54HYD_2023-05-08_final.stac-item
2023-05-08 10:07:18	ga_s2bm_ard_3-2-1_54HVE_2023-05-08_final.stac-item
2023-05-08 10:07:32	ga_s2bm_ard_3-2-1_54HVD_2023-05-08_final.stac-item
2023-05-08 10:07:51	ga_s2bm_ard_3-2-1_54HXB_2023-05-08_nrt.stac-item
2023-05-08 10:07:52	ga_s2bm_ard_3-2-1_54HWB_2023-05-08_nrt.stac-item
2023-05-08 10:07:54	ga_s2bm_ard_3-2-1_54HVB_2023-05-08_nrt.stac-item
2023-05-08 11:41:00	ga_s2bm_ard_3-2-1_51LWG_2023-05-08_final.stac-item
2023-05-08 11:41:03	ga_s2bm_ard_3-2-1_51LVG_2023-05-08_final.stac-item
2023-05-08 11:41:09	ga_s2bm_ard_3-2-1_51LXF_2023-05-08_nrt.stac-item
2023-05-08 11:41:14	ga_s2bm_ard_3-2-1_51LWF_2023-05-08_nrt.stac-item
2023-05-08 11:41:18	ga_s2bm_ard_3-2-1_51LVF_2023-05-08_final.stac-item
2023-05-08 11:41:21	ga_s2bm_ard_3-2-1_51LUF_2023-05-08_final.stac-item
2023-05-08 11:41:43	ga_s2bm_ard_3-2-1_51LWD_2023-05-08_nrt.stac-item
2023-05-08 11:41:53	ga_s2bm_ard_3-2-1_51LTD_2023-05-08_nrt.stac-item
2023-05-08 11:42:23	ga_s2bm_ard_3-2-1_50KRG_2023-05-08_nrt.stac-item
2023-05-08 11:42:51	ga_s2bm_ard_3-2-1_51KTV_2023-05-08_nrt.stac-item
2023-05-08 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2023-05-08_final.stac-item
2023-05-08 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2023-05-08_final.stac-item
2023-05-08 11:43:06	ga_s2bm_ard_3-2-1_51KTU_2023-05-08_final.stac-item
2023-05-08 11:43:07	ga_s2bm_ard_3-2-1_50KRD_2023-05-08_final.stac-item
2023-05-08 11:43:11	ga_s2bm_ard_3-2-1_50KQD_2023-05-08_final.stac-item
2023-05-08 11:43:14	ga_s2bm_ard_3-2-1_51KVT_2023-05-08_final.stac-item
2023-05-08 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2023-05-08_final.stac-item
2023-05-08 11:43:21	ga_s2bm_ard_3-2-1_50KRC_2023-05-08_final.stac-item
2023-05-08 11:43:24	ga_s2bm_ard_3-2-1_50KQC_2023-05-08_final.stac-item
2023-05-08 11:43:32	ga_s2bm_ard_3-2-1_51KUS_2023-05-08_final.stac-item
2023-05-08 11:43:38	ga_s2bm_ard_3-2-1_51KVR_2023-05-08_final.stac-item
2023-05-08 11:43:46	ga_s2bm_ard_3-2-1_51KUR_2023-05-08_final.stac-item
2023-05-08 11:44:30	ga_s2bm_ard_3-2-1_51JUN_2023-05-08_final.stac-item
2023-05-08 11:44:33	ga_s2bm_ard_3-2-1_51JTN_2023-05-08_final.stac-item
2023-05-08 11:44:40	ga_s2bm_ard_3-2-1_50JPT_2023-05-08_final.stac-item
2023-05-08 11:44:43	ga_s2bm_ard_3-2-1_51JUM_2023-05-08_final.stac-item
2023-05-08 11:45:06	ga_s2bm_ard_3-2-1_51JTL_2023-05-08_final.stac-item
2023-05-08 11:45:14	ga_s2bm_ard_3-2-1_50JNR_2023-05-08_final.stac-item
2023-05-08 11:45:32	ga_s2bm_ard_3-2-1_51JTJ_2023-05-08_final.stac-item
2023-05-08 11:45:38	ga_s2bm_ard_3-2-1_50JPP_2023-05-08_final.stac-item
2023-05-08 11:45:46	ga_s2bm_ard_3-2-1_51JTH_2023-05-08_final.stac-item
2023-05-08 11:45:53	ga_s2bm_ard_3-2-1_50JPN_2023-05-08_final.stac-item
2023-05-08 11:45:56	ga_s2bm_ard_3-2-1_50JNN_2023-05-08_final.stac-item
2023-05-08 11:45:59	ga_s2bm_ard_3-2-1_51JTG_2023-05-08_final.stac-item
2023-05-08 11:46:03	ga_s2bm_ard_3-2-1_50JQM_2023-05-08_final.stac-item
2023-05-08 11:46:11	ga_s2bm_ard_3-2-1_50JNM_2023-05-08_final.stac-item
2023-05-08 11:46:15	ga_s2bm_ard_3-2-1_50JMM_2023-05-08_final.stac-item
2023-05-08 11:46:22	ga_s2bm_ard_3-2-1_50JPL_2023-05-08_final.stac-item
2023-05-08 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2023-05-08_final.stac-item
2023-05-08 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2023-05-08_final.stac-item
2023-05-08 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2023-05-08_final.stac-item
2023-05-08 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2023-05-08_final.stac-item
2023-05-08 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-05-08_final.stac-item
2023-05-08 11:47:32	ga_s2bm_ard_3-2-1_50HPF_2023-05-08_nrt.stac-item
2023-05-08 11:47:34	ga_s2bm_ard_3-2-1_50HNF_2023-05-08_nrt.stac-item
2023-05-08 11:47:36	ga_s2bm_ard_3-2-1_50HMF_2023-05-08_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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