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
2023-01-25 11:31:21	ga_s2bm_ard_3-2-1_51LYE_2023-01-25_final.stac-item
2023-01-25 11:31:24	ga_s2bm_ard_3-2-1_51LWE_2023-01-25_final.stac-item
2023-01-25 11:31:28	ga_s2bm_ard_3-2-1_51LYE_2023-01-25_final.stac-item
2023-01-25 11:31:31	ga_s2bm_ard_3-2-1_51LWE_2023-01-25_final.stac-item
2023-01-25 11:31:37	ga_s2bm_ard_3-2-1_51LYD_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 11:32:27	ga_s2bm_ard_3-2-1_51KWA_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 11:32:45	ga_s2bm_ard_3-2-1_51KVV_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 11:32:59	ga_s2bm_ard_3-2-1_51KVU_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 11:33:25	ga_s2bm_ard_3-2-1_51KWS_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 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2023-01-25_final.stac-item
2023-01-25 11:33:43	ga_s2bm_ard_3-2-1_51KVR_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 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2023-01-25_final.stac-item
2023-01-25 11:33:58	ga_s2bm_ard_3-2-1_51KVQ_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 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2023-01-25_final.stac-item
2023-01-25 11:34:15	ga_s2bm_ard_3-2-1_51KUP_2023-01-25_final.stac-item
2023-01-25 11:34:23	ga_s2bm_ard_3-2-1_51JWN_2023-01-25_final.stac-item
2023-01-25 11:34:27	ga_s2bm_ard_3-2-1_51JVN_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 11:34:38	ga_s2bm_ard_3-2-1_51JWM_2023-01-25_final.stac-item
2023-01-25 11:34:41	ga_s2bm_ard_3-2-1_51JVM_2023-01-25_final.stac-item
2023-01-25 11:34:44	ga_s2bm_ard_3-2-1_51JUM_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 11:34:56	ga_s2bm_ard_3-2-1_51JVL_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 11:35:06	ga_s2bm_ard_3-2-1_51JWK_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 11:35:54	ga_s2bm_ard_3-2-1_51JVG_2023-01-25_final.stac-item
2023-01-25 11:35:57	ga_s2bm_ard_3-2-1_51JUG_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 11:36:12	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 11:36:26	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_50HQK_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 11:04:19	ga_s2bm_ard_3-2-1_52JDT_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 11:05:32	ga_s2bm_ard_3-2-1_52JDN_2023-01-26_final.stac-item
2023-01-26 11:05:46	ga_s2bm_ard_3-2-1_52JDM_2023-01-26_final.stac-item
2023-01-26 11:05:57	ga_s2bm_ard_3-2-1_52JEL_2023-01-26_final.stac-item
2023-01-26 11:06:01	ga_s2bm_ard_3-2-1_52JDL_2023-01-26_final.stac-item
2023-01-26 11:06:04	ga_s2bm_ard_3-2-1_52JCL_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
2023-01-27 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2023-01-27_final.stac-item
2023-01-27 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2023-01-27_final.stac-item
2023-01-27 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2023-01-27_final.stac-item
2023-01-27 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2023-01-27_final.stac-item
2023-01-27 12:14:17	ga_s2bm_ard_3-2-1_50KKU_2023-01-27_final.stac-item
2023-01-27 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2023-01-27_final.stac-item
2023-01-27 12:14:43	ga_s2bm_ard_3-2-1_49JFN_2023-01-27_final.stac-item
2023-01-27 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2023-01-27_final.stac-item
2023-01-27 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-01-27_final.stac-item
2023-02-06 12:10:27	ga_s2bm_ard_3-2-1_50LNP_2023-02-06_nrt.stac-item
2023-02-06 12:10:28	ga_s2bm_ard_3-2-1_50LMP_2023-02-06_nrt.stac-item
2023-02-06 12:13:24	ga_s2bm_ard_3-2-1_49KFU_2023-02-06_nrt.stac-item
2023-02-06 12:13:27	ga_s2bm_ard_3-2-1_50KKC_2023-02-06_nrt.stac-item
2023-02-06 12:13:27	ga_s2bm_ard_3-2-1_49KHT_2023-02-06_nrt.stac-item
2023-02-06 12:13:29	ga_s2bm_ard_3-2-1_49KGT_2023-02-06_nrt.stac-item
2023-02-06 12:13:31	ga_s2bm_ard_3-2-1_49KFT_2023-02-06_nrt.stac-item
2023-02-06 12:13:42	ga_s2bm_ard_3-2-1_49KGS_2023-02-06_nrt.stac-item
2023-02-06 12:13:45	ga_s2bm_ard_3-2-1_49KFS_2023-02-06_nrt.stac-item
2023-02-06 12:13:59	ga_s2bm_ard_3-2-1_49KFR_2023-02-06_nrt.stac-item
2023-02-06 12:14:14	ga_s2bm_ard_3-2-1_49KFQ_2023-02-06_nrt.stac-item
2023-02-06 12:14:28	ga_s2bm_ard_3-2-1_49KFP_2023-02-06_nrt.stac-item
2023-02-06 12:15:12	ga_s2bm_ard_3-2-1_49JFL_2023-02-06_nrt.stac-item
2023-02-06 12:15:20	ga_s2bm_ard_3-2-1_49JFK_2023-02-06_nrt.stac-item
2023-02-07 11:41:35	ga_s2bm_ard_3-2-1_51LTE_2023-02-07_nrt.stac-item
2023-02-07 11:42:18	ga_s2bm_ard_3-2-1_50KRG_2023-02-07_nrt.stac-item
2023-02-07 11:42:32	ga_s2bm_ard_3-2-1_51KTA_2023-02-07_nrt.stac-item
2023-02-07 11:42:33	ga_s2bm_ard_3-2-1_50KRF_2023-02-07_nrt.stac-item
2023-02-07 11:47:32	ga_s2bm_ard_3-2-1_50HMF_2023-02-07_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

Other products

All years