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
2023-01-16 11:00:54	ga_s2bm_ard_3-2-1_53LKF_2023-01-16_final.stac-item
2023-01-16 11:01:57	ga_s2bm_ard_3-2-1_52KGG_2023-01-16_final.stac-item
2023-01-17 10:32:29	ga_s2bm_ard_3-2-1_54KTD_2023-01-17_final.stac-item
2023-01-17 10:33:24	ga_s2bm_ard_3-2-1_54KUV_2023-01-17_final.stac-item
2023-01-17 10:34:48	ga_s2bm_ard_3-2-1_53JPK_2023-01-17_final.stac-item
2023-01-18 10:01:33	ga_s2bm_ard_3-2-1_55KDB_2023-01-18_final.stac-item
2023-01-18 10:02:05	ga_s2bm_ard_3-2-1_55KCV_2023-01-18_final.stac-item
2023-01-18 10:02:16	ga_s2bm_ard_3-2-1_55KDU_2023-01-18_final.stac-item
2023-01-18 10:02:27	ga_s2bm_ard_3-2-1_55KET_2023-01-18_final.stac-item
2023-01-18 10:04:08	ga_s2bm_ard_3-2-1_55JDL_2023-01-18_final.stac-item
2023-01-18 10:04:14	ga_s2bm_ard_3-2-1_55JDL_2023-01-18_final.stac-item
2023-01-18 10:04:51	ga_s2bm_ard_3-2-1_54JYP_2023-01-18_final.stac-item
2023-01-18 10:04:55	ga_s2bm_ard_3-2-1_54JXP_2023-01-18_final.stac-item
2023-01-18 10:05:56	ga_s2bm_ard_3-2-1_54HWK_2023-01-18_final.stac-item
2023-01-18 10:06:43	ga_s2bm_ard_3-2-1_54HVG_2023-01-18_final.stac-item
2023-01-18 10:06:47	ga_s2bm_ard_3-2-1_54HYF_2023-01-18_final.stac-item
2023-01-18 10:06:58	ga_s2bm_ard_3-2-1_54HVF_2023-01-18_final.stac-item
2023-01-18 10:07:00	ga_s2bm_ard_3-2-1_54HYE_2023-01-18_final.stac-item
2023-01-18 10:07:09	ga_s2bm_ard_3-2-1_54HWE_2023-01-18_final.stac-item
2023-01-18 10:07:34	ga_s2bm_ard_3-2-1_54HXC_2023-01-18_final.stac-item
2023-01-18 11:41:12	ga_s2bm_ard_3-2-1_51LVF_2023-01-18_final.stac-item
2023-01-18 11:41:23	ga_s2bm_ard_3-2-1_51LWE_2023-01-18_final.stac-item
2023-01-18 11:41:27	ga_s2bm_ard_3-2-1_51LVE_2023-01-18_final.stac-item
2023-01-18 11:42:25	ga_s2bm_ard_3-2-1_51KVA_2023-01-18_final.stac-item
2023-01-18 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2023-01-18_final.stac-item
2023-01-18 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2023-01-18_final.stac-item
2023-01-18 11:43:15	ga_s2bm_ard_3-2-1_51KTT_2023-01-18_final.stac-item
2023-01-18 11:43:30	ga_s2bm_ard_3-2-1_51KTS_2023-01-18_final.stac-item
2023-01-18 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2023-01-18_final.stac-item
2023-01-18 11:43:59	ga_s2bm_ard_3-2-1_51KTQ_2023-01-18_final.stac-item
2023-01-18 11:44:10	ga_s2bm_ard_3-2-1_51KUP_2023-01-18_final.stac-item
2023-01-18 11:44:13	ga_s2bm_ard_3-2-1_50KRU_2023-01-18_final.stac-item
2023-01-18 11:44:17	ga_s2bm_ard_3-2-1_50KQU_2023-01-18_final.stac-item
2023-01-18 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2023-01-18_final.stac-item
2023-01-18 11:44:35	ga_s2bm_ard_3-2-1_50JPT_2023-01-18_final.stac-item
2023-01-18 11:44:38	ga_s2bm_ard_3-2-1_51JUM_2023-01-18_final.stac-item
2023-01-18 11:44:42	ga_s2bm_ard_3-2-1_51JTM_2023-01-18_final.stac-item
2023-01-18 11:44:46	ga_s2bm_ard_3-2-1_50JQS_2023-01-18_final.stac-item
2023-01-18 11:44:49	ga_s2bm_ard_3-2-1_51JUL_2023-01-18_final.stac-item
2023-01-18 11:45:01	ga_s2bm_ard_3-2-1_50JQR_2023-01-18_final.stac-item
2023-01-18 11:46:02	ga_s2bm_ard_3-2-1_50JPM_2023-01-18_final.stac-item
2023-01-18 11:46:10	ga_s2bm_ard_3-2-1_50JMM_2023-01-18_final.stac-item
2023-01-18 11:46:20	ga_s2bm_ard_3-2-1_50JNL_2023-01-18_final.stac-item
2023-01-19 09:36:29	ga_s2bm_ard_3-2-1_55HFB_2023-01-19_final.stac-item
2023-01-19 09:37:59	ga_s2bm_ard_3-2-1_55GER_2023-01-19_final.stac-item
2023-01-19 09:38:28	ga_s2bm_ard_3-2-1_55GEP_2023-01-19_final.stac-item
2023-01-19 09:38:32	ga_s2bm_ard_3-2-1_55GDP_2023-01-19_final.stac-item
2023-01-19 11:10:22	ga_s2bm_ard_3-2-1_52LHN_2023-01-19_final.stac-item
2023-01-19 11:11:48	ga_s2bm_ard_3-2-1_52KGG_2023-01-19_final.stac-item
2023-01-19 11:12:00	ga_s2bm_ard_3-2-1_52KEG_2023-01-19_final.stac-item
2023-01-19 11:12:08	ga_s2bm_ard_3-2-1_52KCG_2023-01-19_final.stac-item
2023-01-19 11:13:19	ga_s2bm_ard_3-2-1_52KCB_2023-01-19_final.stac-item
2023-01-19 11:13:27	ga_s2bm_ard_3-2-1_52KEA_2023-01-19_final.stac-item
2023-01-19 11:13:45	ga_s2bm_ard_3-2-1_52KDV_2023-01-19_final.stac-item
2023-01-19 11:13:49	ga_s2bm_ard_3-2-1_52KCV_2023-01-19_final.stac-item
2023-01-19 11:13:52	ga_s2bm_ard_3-2-1_51KZQ_2023-01-19_final.stac-item
2023-01-19 11:13:55	ga_s2bm_ard_3-2-1_52KEU_2023-01-19_final.stac-item
2023-01-19 11:14:03	ga_s2bm_ard_3-2-1_52KCU_2023-01-19_final.stac-item
2023-01-19 11:14:05	ga_s2bm_ard_3-2-1_52JET_2023-01-19_final.stac-item
2023-01-19 11:14:06	ga_s2bm_ard_3-2-1_51KZP_2023-01-19_final.stac-item
2023-01-19 11:14:30	ga_s2bm_ard_3-2-1_51JZM_2023-01-19_final.stac-item
2023-01-19 11:14:36	ga_s2bm_ard_3-2-1_51JZM_2023-01-19_final.stac-item
2023-01-19 11:14:39	ga_s2bm_ard_3-2-1_51JYM_2023-01-19_final.stac-item
2023-01-19 11:15:36	ga_s2bm_ard_3-2-1_51JYH_2023-01-19_final.stac-item
2023-01-19 11:15:40	ga_s2bm_ard_3-2-1_51JXH_2023-01-19_final.stac-item
2023-01-19 11:15:51	ga_s2bm_ard_3-2-1_51JYG_2023-01-19_final.stac-item
2023-01-19 11:16:05	ga_s2bm_ard_3-2-1_51JYF_2023-01-19_final.stac-item
2023-01-19 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2023-01-19_final.stac-item
2023-01-20 10:41:18	ga_s2bm_ard_3-2-1_53LQD_2023-01-20_final.stac-item
2023-01-20 10:41:32	ga_s2bm_ard_3-2-1_53LQC_2023-01-20_final.stac-item
2023-01-20 10:42:34	ga_s2bm_ard_3-2-1_53KPU_2023-01-20_final.stac-item
2023-01-20 10:42:42	ga_s2bm_ard_3-2-1_53KQT_2023-01-20_final.stac-item
2023-01-20 10:42:44	ga_s2bm_ard_3-2-1_53KPT_2023-01-20_final.stac-item
2023-01-20 10:42:48	ga_s2bm_ard_3-2-1_53KMT_2023-01-20_final.stac-item
2023-01-20 10:42:51	ga_s2bm_ard_3-2-1_53KPT_2023-01-20_final.stac-item
2023-01-20 10:44:18	ga_s2bm_ard_3-2-1_53JNM_2023-01-20_final.stac-item
2023-01-20 10:45:38	ga_s2bm_ard_3-2-1_53JLG_2023-01-20_final.stac-item
2023-01-20 10:45:41	ga_s2bm_ard_3-2-1_53JKG_2023-01-20_final.stac-item
2023-01-20 10:46:18	ga_s2bm_ard_3-2-1_53HMD_2023-01-20_final.stac-item
2023-02-03 12:00:20	ga_s2bm_ard_3-2-1_50LRP_2023-02-03_nrt.stac-item
2023-02-03 12:00:30	ga_s2bm_ard_3-2-1_50LQP_2023-02-03_nrt.stac-item
2023-02-03 12:00:34	ga_s2bm_ard_3-2-1_50LPP_2023-02-03_nrt.stac-item
2023-02-03 12:00:48	ga_s2bm_ard_3-2-1_50LPN_2023-02-03_nrt.stac-item
2023-02-03 12:00:59	ga_s2bm_ard_3-2-1_50LQM_2023-02-03_nrt.stac-item
2023-02-03 12:01:03	ga_s2bm_ard_3-2-1_50LPM_2023-02-03_nrt.stac-item
2023-02-03 12:01:13	ga_s2bm_ard_3-2-1_50LQL_2023-02-03_nrt.stac-item
2023-02-03 12:01:17	ga_s2bm_ard_3-2-1_50LPL_2023-02-03_nrt.stac-item
2023-02-03 12:02:53	ga_s2bm_ard_3-2-1_50KNE_2023-02-03_nrt.stac-item
2023-02-03 12:02:55	ga_s2bm_ard_3-2-1_50KME_2023-02-03_nrt.stac-item
2023-02-03 12:02:56	ga_s2bm_ard_3-2-1_50KLE_2023-02-03_nrt.stac-item
2023-02-03 12:03:02	ga_s2bm_ard_3-2-1_50KND_2023-02-03_nrt.stac-item
2023-02-03 12:03:09	ga_s2bm_ard_3-2-1_50KLD_2023-02-03_nrt.stac-item
2023-02-03 12:03:14	ga_s2bm_ard_3-2-1_49KHU_2023-02-03_nrt.stac-item
2023-02-03 12:03:26	ga_s2bm_ard_3-2-1_50KKC_2023-02-03_nrt.stac-item
2023-02-03 12:05:29	ga_s2bm_ard_3-2-1_49JFK_2023-02-03_nrt.stac-item
2023-02-03 12:05:59	ga_s2bm_ard_3-2-1_49JFH_2023-02-03_nrt.stac-item
2023-02-03 12:06:13	ga_s2bm_ard_3-2-1_49JFG_2023-02-03_nrt.stac-item
2023-02-04 09:51:50	ga_s2bm_ard_3-2-1_55KEA_2023-02-04_nrt.stac-item
2023-02-04 09:57:52	ga_s2bm_ard_3-2-1_54HXB_2023-02-04_nrt.stac-item
2023-02-04 11:31:02	ga_s2bm_ard_3-2-1_52LBL_2023-02-04_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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