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
2023-11-23 12:15:15	ga_s2bm_ard_3-2-1_49JFK_2023-11-23_nrt.stac-item
2023-11-24 08:24:20	ga_s2bm_ard_3-2-1_59JKH_2023-11-23_final.stac-item
2023-11-24 08:24:21	ga_s2bm_ard_3-2-1_58JGN_2023-11-23_final.stac-item
2023-11-24 08:31:38	ga_s2bm_ard_3-2-1_57FVV_2023-11-23_final.stac-item
2023-11-24 10:01:24	ga_s2bm_ard_3-2-1_55KFB_2023-11-24_final.stac-item
2023-11-24 10:01:30	ga_s2bm_ard_3-2-1_55KDB_2023-11-24_final.stac-item
2023-11-24 10:01:33	ga_s2bm_ard_3-2-1_55KCB_2023-11-24_final.stac-item
2023-11-24 10:01:38	ga_s2bm_ard_3-2-1_55KFA_2023-11-24_final.stac-item
2023-11-24 10:01:42	ga_s2bm_ard_3-2-1_55KEA_2023-11-24_nrt.stac-item
2023-11-24 10:01:45	ga_s2bm_ard_3-2-1_55KDA_2023-11-24_final.stac-item
2023-11-24 10:01:48	ga_s2bm_ard_3-2-1_55KCA_2023-11-24_final.stac-item
2023-11-24 10:02:17	ga_s2bm_ard_3-2-1_55KCU_2023-11-24_final.stac-item
2023-11-24 10:02:50	ga_s2bm_ard_3-2-1_54KZB_2023-11-24_final.stac-item
2023-11-24 10:03:19	ga_s2bm_ard_3-2-1_54KZV_2023-11-24_final.stac-item
2023-11-24 10:04:07	ga_s2bm_ard_3-2-1_55JDL_2023-11-24_final.stac-item
2023-11-24 10:04:09	ga_s2bm_ard_3-2-1_55JCL_2023-11-24_final.stac-item
2023-11-24 10:04:11	ga_s2bm_ard_3-2-1_55JBL_2023-11-24_final.stac-item
2023-11-24 10:04:12	ga_s2bm_ard_3-2-1_54JYR_2023-11-24_final.stac-item
2023-11-24 10:04:13	ga_s2bm_ard_3-2-1_55JDL_2023-11-24_final.stac-item
2023-11-24 10:04:16	ga_s2bm_ard_3-2-1_55JCL_2023-11-24_final.stac-item
2023-11-24 10:04:17	ga_s2bm_ard_3-2-1_55JBL_2023-11-24_final.stac-item
2023-11-24 10:04:19	ga_s2bm_ard_3-2-1_55JDK_2023-11-24_final.stac-item
2023-11-24 10:04:20	ga_s2bm_ard_3-2-1_54JYR_2023-11-24_final.stac-item
2023-11-24 10:04:28	ga_s2bm_ard_3-2-1_54JXR_2023-11-24_final.stac-item
2023-11-24 10:04:28	ga_s2bm_ard_3-2-1_55JCK_2023-11-24_final.stac-item
2023-11-24 10:04:32	ga_s2bm_ard_3-2-1_55JBK_2023-11-24_final.stac-item
2023-11-24 10:04:35	ga_s2bm_ard_3-2-1_54JYQ_2023-11-24_final.stac-item
2023-11-24 10:04:39	ga_s2bm_ard_3-2-1_54JXQ_2023-11-24_final.stac-item
2023-11-24 10:04:43	ga_s2bm_ard_3-2-1_55JCJ_2023-11-24_final.stac-item
2023-11-24 10:04:46	ga_s2bm_ard_3-2-1_55JBJ_2023-11-24_final.stac-item
2023-11-24 10:04:49	ga_s2bm_ard_3-2-1_54JYP_2023-11-24_final.stac-item
2023-11-24 10:04:52	ga_s2bm_ard_3-2-1_54JXP_2023-11-24_final.stac-item
2023-11-24 10:05:01	ga_s2bm_ard_3-2-1_55JBH_2023-11-24_final.stac-item
2023-11-24 10:05:03	ga_s2bm_ard_3-2-1_54JYN_2023-11-24_final.stac-item
2023-11-24 10:05:15	ga_s2bm_ard_3-2-1_55JBG_2023-11-24_final.stac-item
2023-11-24 10:05:18	ga_s2bm_ard_3-2-1_54JYM_2023-11-24_final.stac-item
2023-11-24 10:05:24	ga_s2bm_ard_3-2-1_55JCF_2023-11-24_final.stac-item
2023-11-24 10:05:28	ga_s2bm_ard_3-2-1_54JWM_2023-11-24_final.stac-item
2023-11-24 10:05:36	ga_s2bm_ard_3-2-1_54JXL_2023-11-24_final.stac-item
2023-11-24 10:05:40	ga_s2bm_ard_3-2-1_54JWL_2023-11-24_final.stac-item
2023-11-24 10:05:44	ga_s2bm_ard_3-2-1_55HBE_2023-11-24_final.stac-item
2023-11-24 10:05:47	ga_s2bm_ard_3-2-1_54HYK_2023-11-24_final.stac-item
2023-11-24 10:05:51	ga_s2bm_ard_3-2-1_54HXK_2023-11-24_final.stac-item
2023-11-24 10:06:05	ga_s2bm_ard_3-2-1_54HXJ_2023-11-24_final.stac-item
2023-11-24 10:06:09	ga_s2bm_ard_3-2-1_54HWJ_2023-11-24_final.stac-item
2023-11-24 10:06:37	ga_s2bm_ard_3-2-1_54HWG_2023-11-24_final.stac-item
2023-11-24 10:06:41	ga_s2bm_ard_3-2-1_55HBA_2023-11-24_final.stac-item
2023-11-24 10:06:41	ga_s2bm_ard_3-2-1_54HVG_2023-11-24_final.stac-item
2023-11-24 10:06:44	ga_s2bm_ard_3-2-1_54HYF_2023-11-24_final.stac-item
2023-11-24 10:06:48	ga_s2bm_ard_3-2-1_54HXF_2023-11-24_final.stac-item
2023-11-24 10:06:51	ga_s2bm_ard_3-2-1_55HBV_2023-11-24_final.stac-item
2023-11-24 10:06:52	ga_s2bm_ard_3-2-1_54HWF_2023-11-24_final.stac-item
2023-11-24 10:06:55	ga_s2bm_ard_3-2-1_54HVF_2023-11-24_final.stac-item
2023-11-24 10:06:58	ga_s2bm_ard_3-2-1_54HYE_2023-11-24_final.stac-item
2023-11-24 10:07:03	ga_s2bm_ard_3-2-1_54HXE_2023-11-24_final.stac-item
2023-11-24 10:07:06	ga_s2bm_ard_3-2-1_54HWE_2023-11-24_final.stac-item
2023-11-24 10:07:10	ga_s2bm_ard_3-2-1_54HVE_2023-11-24_final.stac-item
2023-11-24 10:07:31	ga_s2bm_ard_3-2-1_54HXC_2023-11-24_final.stac-item
2023-11-24 10:07:40	ga_s2bm_ard_3-2-1_54HUC_2023-11-24_nrt.stac-item
2023-11-24 10:07:42	ga_s2bm_ard_3-2-1_54HXB_2023-11-24_nrt.stac-item
2023-11-24 10:07:43	ga_s2bm_ard_3-2-1_54HWB_2023-11-24_nrt.stac-item
2023-11-24 11:42:04	ga_s2bm_ard_3-2-1_51KWB_2023-11-24_final.stac-item
2023-11-24 11:42:08	ga_s2bm_ard_3-2-1_51KVB_2023-11-24_final.stac-item
2023-11-24 11:42:11	ga_s2bm_ard_3-2-1_51KUB_2023-11-24_final.stac-item
2023-11-24 11:42:22	ga_s2bm_ard_3-2-1_51KVA_2023-11-24_final.stac-item
2023-11-24 11:42:26	ga_s2bm_ard_3-2-1_51KUA_2023-11-24_final.stac-item
2023-11-24 11:42:55	ga_s2bm_ard_3-2-1_51KUU_2023-11-24_final.stac-item
2023-11-24 11:43:28	ga_s2bm_ard_3-2-1_50KRB_2023-11-24_final.stac-item
2023-11-24 11:43:57	ga_s2bm_ard_3-2-1_50KRV_2023-11-24_final.stac-item
2023-11-24 11:44:46	ga_s2bm_ard_3-2-1_51JUL_2023-11-24_final.stac-item
2023-11-24 11:44:55	ga_s2bm_ard_3-2-1_51JTL_2023-11-24_final.stac-item
2023-11-24 11:44:58	ga_s2bm_ard_3-2-1_50JQR_2023-11-24_final.stac-item
2023-11-24 11:45:02	ga_s2bm_ard_3-2-1_50JPR_2023-11-24_final.stac-item
2023-11-24 11:45:06	ga_s2bm_ard_3-2-1_50JNR_2023-11-24_final.stac-item
2023-11-24 11:45:09	ga_s2bm_ard_3-2-1_51JTK_2023-11-24_final.stac-item
2023-11-24 11:45:13	ga_s2bm_ard_3-2-1_50JQQ_2023-11-24_final.stac-item
2023-11-24 11:45:16	ga_s2bm_ard_3-2-1_50JPQ_2023-11-24_final.stac-item
2023-11-24 11:45:19	ga_s2bm_ard_3-2-1_50JNQ_2023-11-24_final.stac-item
2023-11-24 11:45:24	ga_s2bm_ard_3-2-1_51JTJ_2023-11-24_final.stac-item
2023-11-24 11:45:27	ga_s2bm_ard_3-2-1_50JQP_2023-11-24_final.stac-item
2023-11-24 11:45:34	ga_s2bm_ard_3-2-1_50JNP_2023-11-24_final.stac-item
2023-11-24 11:45:38	ga_s2bm_ard_3-2-1_51JTH_2023-11-24_final.stac-item
2023-11-24 11:45:41	ga_s2bm_ard_3-2-1_50JQN_2023-11-24_final.stac-item
2023-11-24 11:45:49	ga_s2bm_ard_3-2-1_50JNN_2023-11-24_final.stac-item
2023-11-24 11:45:52	ga_s2bm_ard_3-2-1_51JTG_2023-11-24_final.stac-item
2023-11-24 11:45:56	ga_s2bm_ard_3-2-1_50JQM_2023-11-24_final.stac-item
2023-11-24 11:46:03	ga_s2bm_ard_3-2-1_50JNM_2023-11-24_final.stac-item
2023-11-24 11:46:08	ga_s2bm_ard_3-2-1_50JMM_2023-11-24_final.stac-item
2023-11-24 11:46:18	ga_s2bm_ard_3-2-1_50JNL_2023-11-24_final.stac-item
2023-11-24 11:46:21	ga_s2bm_ard_3-2-1_50JML_2023-11-24_final.stac-item
2023-11-24 11:46:25	ga_s2bm_ard_3-2-1_50HQK_2023-11-24_final.stac-item
2023-11-24 11:46:29	ga_s2bm_ard_3-2-1_50HPK_2023-11-24_final.stac-item
2023-11-24 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2023-11-24_final.stac-item
2023-11-24 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2023-11-24_final.stac-item
2023-11-24 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2023-11-24_final.stac-item
2023-11-24 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2023-11-24_final.stac-item
2023-11-24 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2023-11-24_final.stac-item
2023-11-24 11:47:21	ga_s2bm_ard_3-2-1_50HLG_2023-11-24_final.stac-item
2023-11-24 11:47:23	ga_s2bm_ard_3-2-1_50HPF_2023-11-24_nrt.stac-item
2023-11-24 11:47:25	ga_s2bm_ard_3-2-1_50HNF_2023-11-24_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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