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
2023-11-18 09:47:18	ga_s2bm_ard_3-2-1_55HFT_2023-11-18_final.stac-item
2023-11-18 11:27:11	ga_s2bm_ard_3-2-1_51HTB_2023-11-18_final.stac-item
2023-11-20 10:22:13	ga_s2bm_ard_3-2-1_54KVE_2023-11-20_final.stac-item
2023-11-20 10:22:25	ga_s2bm_ard_3-2-1_54KWD_2023-11-20_final.stac-item
2023-11-20 10:22:35	ga_s2bm_ard_3-2-1_54KXC_2023-11-20_final.stac-item
2023-11-20 10:24:10	ga_s2bm_ard_3-2-1_54JVS_2023-11-20_final.stac-item
2023-11-20 10:24:53	ga_s2bm_ard_3-2-1_54JVP_2023-11-20_final.stac-item
2023-11-20 10:25:11	ga_s2bm_ard_3-2-1_54JUN_2023-11-20_final.stac-item
2023-11-20 10:25:30	ga_s2bm_ard_3-2-1_54JUM_2023-11-20_final.stac-item
2023-11-20 10:25:55	ga_s2bm_ard_3-2-1_54HUK_2023-11-20_final.stac-item
2023-11-20 10:26:13	ga_s2bm_ard_3-2-1_54HTJ_2023-11-20_final.stac-item
2023-11-20 10:26:19	ga_s2bm_ard_3-2-1_53HPD_2023-11-20_final.stac-item
2023-11-20 12:03:30	ga_s2bm_ard_3-2-1_50KNB_2023-11-20_final.stac-item
2023-11-20 12:04:04	ga_s2bm_ard_3-2-1_50KMV_2023-11-20_final.stac-item
2023-11-20 12:04:10	ga_s2bm_ard_3-2-1_50KKV_2023-11-20_final.stac-item
2023-11-20 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2023-11-20_final.stac-item
2023-11-20 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2023-11-20_final.stac-item
2023-11-20 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2023-11-20_final.stac-item
2023-11-20 12:05:55	ga_s2bm_ard_3-2-1_49JGH_2023-11-20_final.stac-item
2023-11-21 09:55:32	ga_s2bm_ard_3-2-1_55JCF_2023-11-21_final.stac-item
2023-11-21 09:55:50	ga_s2bm_ard_3-2-1_55HBE_2023-11-21_final.stac-item
2023-11-21 09:56:12	ga_s2bm_ard_3-2-1_55HDC_2023-11-21_final.stac-item
2023-11-21 09:56:27	ga_s2bm_ard_3-2-1_55HDB_2023-11-21_final.stac-item
2023-11-21 09:56:48	ga_s2bm_ard_3-2-1_55HBA_2023-11-21_final.stac-item
2023-11-21 09:57:03	ga_s2bm_ard_3-2-1_55HBV_2023-11-21_final.stac-item
2023-11-21 09:57:14	ga_s2bm_ard_3-2-1_55HCU_2023-11-21_final.stac-item
2023-11-21 09:57:18	ga_s2bm_ard_3-2-1_55HBU_2023-11-21_final.stac-item
2023-11-21 09:57:23	ga_s2bm_ard_3-2-1_54HXD_2023-11-21_final.stac-item
2023-11-21 09:57:29	ga_s2bm_ard_3-2-1_55HCT_2023-11-21_final.stac-item
2023-11-21 09:57:33	ga_s2bm_ard_3-2-1_54HYC_2023-11-21_final.stac-item
2023-11-21 09:57:42	ga_s2bm_ard_3-2-1_54HWC_2023-11-21_final.stac-item
2023-11-21 09:58:16	ga_s2bm_ard_3-2-1_54GYV_2023-11-21_final.stac-item
2023-11-21 09:58:20	ga_s2bm_ard_3-2-1_55GCP_2023-11-21_final.stac-item
2023-11-21 11:31:17	ga_s2bm_ard_3-2-1_51LZE_2023-11-21_final.stac-item
2023-11-21 11:31:31	ga_s2bm_ard_3-2-1_51LXD_2023-11-21_final.stac-item
2023-11-21 11:31:39	ga_s2bm_ard_3-2-1_51LXD_2023-11-21_final.stac-item
2023-11-21 11:31:53	ga_s2bm_ard_3-2-1_51LXC_2023-11-21_final.stac-item
2023-11-21 11:31:56	ga_s2bm_ard_3-2-1_51LWC_2023-11-21_final.stac-item
2023-11-21 11:32:04	ga_s2bm_ard_3-2-1_51KYB_2023-11-21_final.stac-item
2023-11-21 11:32:43	ga_s2bm_ard_3-2-1_51KVV_2023-11-21_final.stac-item
2023-11-21 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2023-11-21_final.stac-item
2023-11-21 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2023-11-21_final.stac-item
2023-11-21 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2023-11-21_final.stac-item
2023-11-21 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2023-11-21_final.stac-item
2023-11-21 11:33:44	ga_s2bm_ard_3-2-1_51KUR_2023-11-21_final.stac-item
2023-11-21 11:34:14	ga_s2bm_ard_3-2-1_51KUP_2023-11-21_final.stac-item
2023-11-21 11:34:36	ga_s2bm_ard_3-2-1_51JWM_2023-11-21_final.stac-item
2023-11-21 11:34:40	ga_s2bm_ard_3-2-1_51JVM_2023-11-21_final.stac-item
2023-11-21 11:34:46	ga_s2bm_ard_3-2-1_50JRS_2023-11-21_final.stac-item
2023-11-21 11:34:58	ga_s2bm_ard_3-2-1_51JUL_2023-11-21_final.stac-item
2023-11-21 11:35:00	ga_s2bm_ard_3-2-1_51JTL_2023-11-21_final.stac-item
2023-11-21 11:35:09	ga_s2bm_ard_3-2-1_51JVK_2023-11-21_final.stac-item
2023-11-21 11:35:15	ga_s2bm_ard_3-2-1_51JTK_2023-11-21_final.stac-item
2023-11-21 11:35:23	ga_s2bm_ard_3-2-1_51JVJ_2023-11-21_final.stac-item
2023-11-21 11:35:27	ga_s2bm_ard_3-2-1_51JUJ_2023-11-21_final.stac-item
2023-11-21 11:35:30	ga_s2bm_ard_3-2-1_51JTJ_2023-11-21_final.stac-item
2023-11-21 11:35:38	ga_s2bm_ard_3-2-1_51JVH_2023-11-21_final.stac-item
2023-11-21 11:35:44	ga_s2bm_ard_3-2-1_51JTH_2023-11-21_final.stac-item
2023-11-21 11:36:07	ga_s2bm_ard_3-2-1_51JVF_2023-11-21_final.stac-item
2023-11-21 11:36:16	ga_s2bm_ard_3-2-1_50JQL_2023-11-21_final.stac-item
2023-11-21 11:36:30	ga_s2bm_ard_3-2-1_50HQK_2023-11-21_final.stac-item
2023-11-21 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2023-11-21_final.stac-item
2023-11-21 11:36:43	ga_s2bm_ard_3-2-1_51HTD_2023-11-21_final.stac-item
2023-11-21 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2023-11-21_final.stac-item
2023-11-21 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2023-11-21_final.stac-item
2023-11-21 11:37:09	ga_s2bm_ard_3-2-1_51HUB_2023-11-21_final.stac-item
2023-11-21 11:37:12	ga_s2bm_ard_3-2-1_51HTB_2023-11-21_final.stac-item
2023-11-21 11:37:23	ga_s2bm_ard_3-2-1_50HNG_2023-11-21_final.stac-item
2023-11-22 09:26:57	ga_s2bm_ard_3-2-1_55HGV_2023-11-21_final.stac-item
2023-11-22 09:27:10	ga_s2bm_ard_3-2-1_55HGU_2023-11-21_final.stac-item
2023-11-22 11:00:58	ga_s2bm_ard_3-2-1_52LGL_2023-11-22_final.stac-item
2023-11-22 11:01:05	ga_s2bm_ard_3-2-1_53LLE_2023-11-22_final.stac-item
2023-11-22 11:01:19	ga_s2bm_ard_3-2-1_53LLD_2023-11-22_final.stac-item
2023-11-22 11:01:24	ga_s2bm_ard_3-2-1_52LHJ_2023-11-22_final.stac-item
2023-11-22 11:01:59	ga_s2bm_ard_3-2-1_52KFG_2023-11-22_final.stac-item
2023-11-22 11:02:11	ga_s2bm_ard_3-2-1_53KKV_2023-11-22_final.stac-item
2023-11-22 11:02:36	ga_s2bm_ard_3-2-1_52KHD_2023-11-22_final.stac-item
2023-11-22 11:02:54	ga_s2bm_ard_3-2-1_52KGC_2023-11-22_final.stac-item
2023-11-22 11:03:50	ga_s2bm_ard_3-2-1_52KDV_2023-11-22_final.stac-item
2023-11-22 11:03:52	ga_s2bm_ard_3-2-1_52KGU_2023-11-22_final.stac-item
2023-11-22 11:04:10	ga_s2bm_ard_3-2-1_52JFT_2023-11-22_final.stac-item
2023-11-22 11:04:14	ga_s2bm_ard_3-2-1_52JET_2023-11-22_final.stac-item
2023-11-22 11:04:28	ga_s2bm_ard_3-2-1_52JES_2023-11-22_final.stac-item
2023-11-22 11:04:32	ga_s2bm_ard_3-2-1_52JDS_2023-11-22_final.stac-item
2023-11-22 11:04:52	ga_s2bm_ard_3-2-1_52JCR_2023-11-22_final.stac-item
2023-11-22 11:05:08	ga_s2bm_ard_3-2-1_52JFP_2023-11-22_final.stac-item
2023-11-22 11:05:21	ga_s2bm_ard_3-2-1_52JEN_2023-11-22_final.stac-item
2023-11-22 11:05:48	ga_s2bm_ard_3-2-1_52JCM_2023-11-22_final.stac-item
2023-11-22 11:05:54	ga_s2bm_ard_3-2-1_52JBM_2023-11-22_final.stac-item
2023-11-22 11:06:06	ga_s2bm_ard_3-2-1_52JBL_2023-11-22_final.stac-item
2023-12-01 11:30:49	ga_s2bm_ard_3-2-1_51LZG_2023-12-01_nrt.stac-item
2023-12-01 11:31:03	ga_s2bm_ard_3-2-1_51LZF_2023-12-01_nrt.stac-item
2023-12-01 11:31:10	ga_s2bm_ard_3-2-1_51LXF_2023-12-01_nrt.stac-item
2023-12-01 11:31:25	ga_s2bm_ard_3-2-1_51LXE_2023-12-01_nrt.stac-item
2023-12-02 09:27:55	ga_s2bm_ard_3-2-1_55GGR_2023-12-01_nrt.stac-item
2023-12-02 09:28:09	ga_s2bm_ard_3-2-1_55GGQ_2023-12-01_nrt.stac-item
2023-12-02 11:00:04	ga_s2bm_ard_3-2-1_53LMJ_2023-12-02_nrt.stac-item
2023-12-02 11:06:11	ga_s2bm_ard_3-2-1_52HEK_2023-12-02_nrt.stac-item
2023-12-02 11:06:25	ga_s2bm_ard_3-2-1_52HEJ_2023-12-02_nrt.stac-item
2023-12-02 11:06:30	ga_s2bm_ard_3-2-1_52HBJ_2023-12-02_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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