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
2023-08-22 10:20:00	ga_s2bm_ard_3-2-1_54LYP_2023-08-22_final.stac-item
2023-08-22 10:20:04	ga_s2bm_ard_3-2-1_54LXP_2023-08-22_final.stac-item
2023-08-22 10:20:11	ga_s2bm_ard_3-2-1_54LZN_2023-08-22_final.stac-item
2023-08-22 10:20:29	ga_s2bm_ard_3-2-1_54LYM_2023-08-22_final.stac-item
2023-08-22 10:21:37	ga_s2bm_ard_3-2-1_54LVH_2023-08-22_final.stac-item
2023-08-22 10:21:51	ga_s2bm_ard_3-2-1_54KVG_2023-08-22_final.stac-item
2023-08-22 10:22:17	ga_s2bm_ard_3-2-1_54KWE_2023-08-22_final.stac-item
2023-08-22 10:22:23	ga_s2bm_ard_3-2-1_54KXD_2023-08-22_final.stac-item
2023-08-22 10:24:50	ga_s2bm_ard_3-2-1_54JUQ_2023-08-22_final.stac-item
2023-08-22 10:25:04	ga_s2bm_ard_3-2-1_54JUP_2023-08-22_final.stac-item
2023-08-22 10:25:39	ga_s2bm_ard_3-2-1_53JQG_2023-08-22_final.stac-item
2023-08-22 10:26:55	ga_s2bm_ard_3-2-1_53HPB_2023-08-22_final.stac-item
2023-08-22 10:27:04	ga_s2bm_ard_3-2-1_54HTF_2023-08-22_final.stac-item
2023-08-22 10:27:10	ga_s2bm_ard_3-2-1_53HPA_2023-08-22_final.stac-item
2023-08-22 10:27:18	ga_s2bm_ard_3-2-1_53HQV_2023-08-22_final.stac-item
2023-08-22 12:03:38	ga_s2bm_ard_3-2-1_50KNB_2023-08-22_final.stac-item
2023-08-22 12:03:46	ga_s2bm_ard_3-2-1_50KLB_2023-08-22_final.stac-item
2023-08-22 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2023-08-22_final.stac-item
2023-08-22 12:03:57	ga_s2bm_ard_3-2-1_50KMA_2023-08-22_final.stac-item
2023-08-22 12:04:32	ga_s2bm_ard_3-2-1_49KHP_2023-08-22_final.stac-item
2023-08-22 12:04:32	ga_s2bm_ard_3-2-1_50KKU_2023-08-22_final.stac-item
2023-08-22 12:04:44	ga_s2bm_ard_3-2-1_50JLT_2023-08-22_final.stac-item
2023-08-22 12:05:02	ga_s2bm_ard_3-2-1_50JKS_2023-08-22_final.stac-item
2023-08-22 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2023-08-22_final.stac-item
2023-08-22 12:05:13	ga_s2bm_ard_3-2-1_49JFM_2023-08-22_final.stac-item
2023-08-22 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2023-08-22_final.stac-item
2023-08-22 12:05:31	ga_s2bm_ard_3-2-1_50JKQ_2023-08-22_final.stac-item
2023-08-22 12:06:09	ga_s2bm_ard_3-2-1_50JLM_2023-08-22_final.stac-item
2023-08-23 09:54:57	ga_s2bm_ard_3-2-1_55JCJ_2023-08-23_final.stac-item
2023-08-23 09:55:08	ga_s2bm_ard_3-2-1_55JDH_2023-08-23_final.stac-item
2023-08-23 09:55:58	ga_s2bm_ard_3-2-1_55HBE_2023-08-23_final.stac-item
2023-08-23 09:56:38	ga_s2bm_ard_3-2-1_55HCB_2023-08-23_final.stac-item
2023-08-23 09:56:43	ga_s2bm_ard_3-2-1_54HYG_2023-08-23_final.stac-item
2023-08-23 09:56:49	ga_s2bm_ard_3-2-1_55HDA_2023-08-23_final.stac-item
2023-08-23 09:57:07	ga_s2bm_ard_3-2-1_55HCV_2023-08-23_final.stac-item
2023-08-23 09:57:31	ga_s2bm_ard_3-2-1_54HXD_2023-08-23_final.stac-item
2023-08-23 11:31:35	ga_s2bm_ard_3-2-1_51LWE_2023-08-23_final.stac-item
2023-08-23 11:32:24	ga_s2bm_ard_3-2-1_51KVB_2023-08-23_final.stac-item
2023-08-23 11:32:30	ga_s2bm_ard_3-2-1_51KXA_2023-08-23_final.stac-item
2023-08-23 11:33:06	ga_s2bm_ard_3-2-1_51KVU_2023-08-23_final.stac-item
2023-08-23 11:34:20	ga_s2bm_ard_3-2-1_51JXN_2023-08-23_final.stac-item
2023-08-23 11:35:45	ga_s2bm_ard_3-2-1_51JVH_2023-08-23_final.stac-item
2023-08-23 11:35:55	ga_s2bm_ard_3-2-1_50JQN_2023-08-23_final.stac-item
2023-08-23 11:36:09	ga_s2bm_ard_3-2-1_50JQM_2023-08-23_final.stac-item
2023-08-23 11:36:18	ga_s2bm_ard_3-2-1_51JUF_2023-08-23_final.stac-item
2023-08-23 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2023-08-23_final.stac-item
2023-08-23 11:36:28	ga_s2bm_ard_3-2-1_51HUE_2023-08-23_final.stac-item
2023-08-23 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2023-08-23_final.stac-item
2023-08-23 11:37:20	ga_s2bm_ard_3-2-1_51HTB_2023-08-23_final.stac-item
2023-08-23 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2023-08-23_final.stac-item
2023-08-24 09:27:05	ga_s2bm_ard_3-2-1_55HGV_2023-08-23_final.stac-item
2023-08-24 09:27:18	ga_s2bm_ard_3-2-1_55HGU_2023-08-23_final.stac-item
2023-08-24 09:28:05	ga_s2bm_ard_3-2-1_55GFR_2023-08-23_final.stac-item
2023-08-24 09:28:42	ga_s2bm_ard_3-2-1_55GEP_2023-08-23_final.stac-item
2023-08-24 11:00:33	ga_s2bm_ard_3-2-1_53LKH_2023-08-24_final.stac-item
2023-08-24 11:00:44	ga_s2bm_ard_3-2-1_53LLG_2023-08-24_final.stac-item
2023-08-24 11:00:47	ga_s2bm_ard_3-2-1_53LKG_2023-08-24_final.stac-item
2023-08-24 11:00:49	ga_s2bm_ard_3-2-1_52LHM_2023-08-24_final.stac-item
2023-08-24 11:00:52	ga_s2bm_ard_3-2-1_53LMF_2023-08-24_final.stac-item
2023-08-24 11:00:53	ga_s2bm_ard_3-2-1_52LGM_2023-08-24_final.stac-item
2023-08-24 11:00:58	ga_s2bm_ard_3-2-1_53LLF_2023-08-24_final.stac-item
2023-08-24 11:01:02	ga_s2bm_ard_3-2-1_53LKF_2023-08-24_final.stac-item
2023-08-24 11:01:06	ga_s2bm_ard_3-2-1_52LGL_2023-08-24_final.stac-item
2023-08-24 11:01:56	ga_s2bm_ard_3-2-1_53KLB_2023-08-24_final.stac-item
2023-08-24 11:02:05	ga_s2bm_ard_3-2-1_52KGG_2023-08-24_final.stac-item
2023-08-24 11:02:07	ga_s2bm_ard_3-2-1_53KLA_2023-08-24_final.stac-item
2023-08-24 11:02:19	ga_s2bm_ard_3-2-1_52KGF_2023-08-24_final.stac-item
2023-08-24 11:02:22	ga_s2bm_ard_3-2-1_52KFF_2023-08-24_final.stac-item
2023-08-24 11:02:34	ga_s2bm_ard_3-2-1_52KGE_2023-08-24_final.stac-item
2023-08-24 11:02:37	ga_s2bm_ard_3-2-1_52KFE_2023-08-24_final.stac-item
2023-08-24 11:02:44	ga_s2bm_ard_3-2-1_52KHD_2023-08-24_final.stac-item
2023-08-24 11:02:59	ga_s2bm_ard_3-2-1_52KHC_2023-08-24_final.stac-item
2023-08-24 11:03:23	ga_s2bm_ard_3-2-1_53KKR_2023-08-24_final.stac-item
2023-08-24 11:03:39	ga_s2bm_ard_3-2-1_52KEA_2023-08-24_final.stac-item
2023-08-24 11:03:58	ga_s2bm_ard_3-2-1_52KDV_2023-08-24_final.stac-item
2023-08-24 11:04:07	ga_s2bm_ard_3-2-1_52KEU_2023-08-24_final.stac-item
2023-08-24 11:04:22	ga_s2bm_ard_3-2-1_52JET_2023-08-24_final.stac-item
2023-08-24 11:04:25	ga_s2bm_ard_3-2-1_52JDT_2023-08-24_final.stac-item
2023-08-24 11:04:37	ga_s2bm_ard_3-2-1_52JES_2023-08-24_final.stac-item
2023-08-24 11:04:47	ga_s2bm_ard_3-2-1_52JFR_2023-08-24_final.stac-item
2023-08-24 11:05:02	ga_s2bm_ard_3-2-1_52JFQ_2023-08-24_final.stac-item
2023-08-24 11:05:38	ga_s2bm_ard_3-2-1_52JDN_2023-08-24_final.stac-item
2023-08-24 11:05:41	ga_s2bm_ard_3-2-1_52JCN_2023-08-24_final.stac-item
2023-08-24 11:05:53	ga_s2bm_ard_3-2-1_52JDM_2023-08-24_final.stac-item
2023-08-24 11:05:56	ga_s2bm_ard_3-2-1_52JCM_2023-08-24_final.stac-item
2023-08-24 11:06:02	ga_s2bm_ard_3-2-1_52JBM_2023-08-24_final.stac-item
2023-08-24 11:06:03	ga_s2bm_ard_3-2-1_52JEL_2023-08-24_final.stac-item
2023-08-24 11:06:07	ga_s2bm_ard_3-2-1_52JDL_2023-08-24_final.stac-item
2023-08-24 11:06:14	ga_s2bm_ard_3-2-1_52JBL_2023-08-24_final.stac-item
2023-09-02 11:30:18	ga_s2bm_ard_3-2-1_52LCP_2023-09-02_nrt.stac-item
2023-09-02 11:30:28	ga_s2bm_ard_3-2-1_51LZJ_2023-09-02_nrt.stac-item
2023-09-02 11:30:42	ga_s2bm_ard_3-2-1_51LZH_2023-09-02_nrt.stac-item
2023-09-02 11:30:56	ga_s2bm_ard_3-2-1_51LZG_2023-09-02_nrt.stac-item
2023-09-02 11:31:11	ga_s2bm_ard_3-2-1_51LZF_2023-09-02_nrt.stac-item
2023-09-02 11:31:22	ga_s2bm_ard_3-2-1_51LWF_2023-09-02_nrt.stac-item
2023-09-02 11:37:30	ga_s2bm_ard_3-2-1_51HUA_2023-09-02_nrt.stac-item
2023-09-02 11:37:33	ga_s2bm_ard_3-2-1_50HQF_2023-09-02_nrt.stac-item
2023-09-03 09:28:31	ga_s2bm_ard_3-2-1_55GGP_2023-09-02_nrt.stac-item
2023-09-03 09:28:45	ga_s2bm_ard_3-2-1_55GGN_2023-09-02_nrt.stac-item
2023-09-03 09:28:59	ga_s2bm_ard_3-2-1_55GGM_2023-09-02_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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