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
2023-05-04 10:20:09	ga_s2bm_ard_3-2-1_54LZN_2023-05-04_final.stac-item
2023-05-04 10:20:23	ga_s2bm_ard_3-2-1_54LZM_2023-05-04_final.stac-item
2023-05-04 10:20:30	ga_s2bm_ard_3-2-1_54LXM_2023-05-04_final.stac-item
2023-05-04 10:20:56	ga_s2bm_ard_3-2-1_54LYK_2023-05-04_final.stac-item
2023-05-04 10:20:59	ga_s2bm_ard_3-2-1_54LXK_2023-05-04_final.stac-item
2023-05-04 10:21:10	ga_s2bm_ard_3-2-1_54LYJ_2023-05-04_final.stac-item
2023-05-04 10:21:17	ga_s2bm_ard_3-2-1_54LWJ_2023-05-04_final.stac-item
2023-05-04 10:21:32	ga_s2bm_ard_3-2-1_54LWH_2023-05-04_final.stac-item
2023-05-04 10:21:35	ga_s2bm_ard_3-2-1_54LVH_2023-05-04_final.stac-item
2023-05-04 10:21:54	ga_s2bm_ard_3-2-1_54KYF_2023-05-04_final.stac-item
2023-05-04 10:21:57	ga_s2bm_ard_3-2-1_54KXF_2023-05-04_final.stac-item
2023-05-04 10:22:12	ga_s2bm_ard_3-2-1_54KXE_2023-05-04_final.stac-item
2023-05-04 10:22:33	ga_s2bm_ard_3-2-1_54KVD_2023-05-04_final.stac-item
2023-05-04 10:22:48	ga_s2bm_ard_3-2-1_54KVC_2023-05-04_final.stac-item
2023-05-04 10:22:51	ga_s2bm_ard_3-2-1_54KUC_2023-05-04_final.stac-item
2023-05-04 10:23:13	ga_s2bm_ard_3-2-1_54KWA_2023-05-04_final.stac-item
2023-05-04 10:24:01	ga_s2bm_ard_3-2-1_54JVT_2023-05-04_final.stac-item
2023-05-04 10:24:06	ga_s2bm_ard_3-2-1_53JRN_2023-05-04_final.stac-item
2023-05-04 10:24:23	ga_s2bm_ard_3-2-1_54JUR_2023-05-04_final.stac-item
2023-05-04 10:24:25	ga_s2bm_ard_3-2-1_54JTS_2023-05-04_final.stac-item
2023-05-04 10:26:00	ga_s2bm_ard_3-2-1_54HUK_2023-05-04_final.stac-item
2023-05-04 10:26:09	ga_s2bm_ard_3-2-1_53HPE_2023-05-04_final.stac-item
2023-05-04 10:26:49	ga_s2bm_ard_3-2-1_53HQB_2023-05-04_final.stac-item
2023-05-04 10:26:53	ga_s2bm_ard_3-2-1_53HPB_2023-05-04_final.stac-item
2023-05-04 10:27:02	ga_s2bm_ard_3-2-1_54HTF_2023-05-04_final.stac-item
2023-05-04 10:27:07	ga_s2bm_ard_3-2-1_53HPA_2023-05-04_final.stac-item
2023-05-04 10:27:15	ga_s2bm_ard_3-2-1_53HQV_2023-05-04_final.stac-item
2023-05-04 10:27:17	ga_s2bm_ard_3-2-1_53HPV_2023-05-04_final.stac-item
2023-05-04 12:03:54	ga_s2bm_ard_3-2-1_50KMA_2023-05-04_final.stac-item
2023-05-04 12:04:01	ga_s2bm_ard_3-2-1_50KKA_2023-05-04_final.stac-item
2023-05-04 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2023-05-04_final.stac-item
2023-05-04 12:04:09	ga_s2bm_ard_3-2-1_50KMV_2023-05-04_final.stac-item
2023-05-04 12:04:29	ga_s2bm_ard_3-2-1_50KKU_2023-05-04_final.stac-item
2023-05-04 12:04:33	ga_s2bm_ard_3-2-1_50JMT_2023-05-04_final.stac-item
2023-05-04 12:04:35	ga_s2bm_ard_3-2-1_50KLU_2023-05-04_final.stac-item
2023-05-04 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2023-05-04_final.stac-item
2023-05-04 12:04:39	ga_s2bm_ard_3-2-1_50JMT_2023-05-04_final.stac-item
2023-05-04 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2023-05-04_final.stac-item
2023-05-04 12:04:56	ga_s2bm_ard_3-2-1_50JLS_2023-05-04_final.stac-item
2023-05-04 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-05-04_final.stac-item
2023-05-04 12:05:11	ga_s2bm_ard_3-2-1_50JLR_2023-05-04_final.stac-item
2023-05-04 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2023-05-04_final.stac-item
2023-05-04 12:06:01	ga_s2bm_ard_3-2-1_49JGH_2023-05-04_final.stac-item
2023-05-05 09:51:21	ga_s2bm_ard_3-2-1_55LFC_2023-05-05_final.stac-item
2023-05-05 09:51:28	ga_s2bm_ard_3-2-1_56KKG_2023-05-05_final.stac-item
2023-05-05 09:51:36	ga_s2bm_ard_3-2-1_55KFB_2023-05-05_final.stac-item
2023-05-05 09:52:37	ga_s2bm_ard_3-2-1_55KHS_2023-05-05_final.stac-item
2023-05-05 09:53:06	ga_s2bm_ard_3-2-1_55KER_2023-05-05_final.stac-item
2023-05-05 09:53:10	ga_s2bm_ard_3-2-1_55KDR_2023-05-05_final.stac-item
2023-05-05 09:53:14	ga_s2bm_ard_3-2-1_55KGQ_2023-05-05_final.stac-item
2023-05-05 09:55:03	ga_s2bm_ard_3-2-1_55JCH_2023-05-05_final.stac-item
2023-05-05 09:55:24	ga_s2bm_ard_3-2-1_55JCG_2023-05-05_final.stac-item
2023-05-05 09:55:56	ga_s2bm_ard_3-2-1_55HBE_2023-05-05_final.stac-item
2023-05-05 09:55:59	ga_s2bm_ard_3-2-1_54HYK_2023-05-05_final.stac-item
2023-05-05 09:56:12	ga_s2bm_ard_3-2-1_54HYJ_2023-05-05_final.stac-item
2023-05-05 09:57:10	ga_s2bm_ard_3-2-1_54HYE_2023-05-05_final.stac-item
2023-05-05 09:57:35	ga_s2bm_ard_3-2-1_55HCT_2023-05-05_final.stac-item
2023-05-05 09:58:08	ga_s2bm_ard_3-2-1_54GYA_2023-05-05_final.stac-item
2023-05-05 09:58:22	ga_s2bm_ard_3-2-1_54GYV_2023-05-05_final.stac-item
2023-05-05 11:31:23	ga_s2bm_ard_3-2-1_51LZE_2023-05-05_final.stac-item
2023-05-05 11:31:33	ga_s2bm_ard_3-2-1_51LWE_2023-05-05_final.stac-item
2023-05-05 11:31:38	ga_s2bm_ard_3-2-1_51LZD_2023-05-05_final.stac-item
2023-05-05 11:31:58	ga_s2bm_ard_3-2-1_51LWC_2023-05-05_final.stac-item
2023-05-05 11:32:00	ga_s2bm_ard_3-2-1_51KYB_2023-05-05_final.stac-item
2023-05-05 11:32:01	ga_s2bm_ard_3-2-1_51LYC_2023-05-05_final.stac-item
2023-05-05 11:32:10	ga_s2bm_ard_3-2-1_51KYB_2023-05-05_final.stac-item
2023-05-05 11:32:14	ga_s2bm_ard_3-2-1_51KXB_2023-05-05_final.stac-item
2023-05-05 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2023-05-05_final.stac-item
2023-05-05 11:32:28	ga_s2bm_ard_3-2-1_51KXA_2023-05-05_final.stac-item
2023-05-05 11:33:11	ga_s2bm_ard_3-2-1_51KXT_2023-05-05_final.stac-item
2023-05-05 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2023-05-05_final.stac-item
2023-05-05 11:33:41	ga_s2bm_ard_3-2-1_51KXR_2023-05-05_final.stac-item
2023-05-05 11:33:48	ga_s2bm_ard_3-2-1_51KVR_2023-05-05_final.stac-item
2023-05-05 11:33:50	ga_s2bm_ard_3-2-1_51KUR_2023-05-05_final.stac-item
2023-05-05 11:34:02	ga_s2bm_ard_3-2-1_51KVQ_2023-05-05_final.stac-item
2023-05-05 11:34:17	ga_s2bm_ard_3-2-1_51KVP_2023-05-05_final.stac-item
2023-05-05 11:34:20	ga_s2bm_ard_3-2-1_51KUP_2023-05-05_final.stac-item
2023-05-05 11:34:28	ga_s2bm_ard_3-2-1_51JWN_2023-05-05_final.stac-item
2023-05-05 11:34:34	ga_s2bm_ard_3-2-1_51JUN_2023-05-05_final.stac-item
2023-05-05 11:34:46	ga_s2bm_ard_3-2-1_51JVM_2023-05-05_final.stac-item
2023-05-05 11:34:52	ga_s2bm_ard_3-2-1_50JRS_2023-05-05_final.stac-item
2023-05-05 11:35:00	ga_s2bm_ard_3-2-1_51JVL_2023-05-05_final.stac-item
2023-05-05 11:35:33	ga_s2bm_ard_3-2-1_51JUJ_2023-05-05_final.stac-item
2023-05-05 11:36:08	ga_s2bm_ard_3-2-1_50JQM_2023-05-05_final.stac-item
2023-05-05 11:36:16	ga_s2bm_ard_3-2-1_51JUF_2023-05-05_final.stac-item
2023-05-05 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2023-05-05_final.stac-item
2023-05-05 11:36:49	ga_s2bm_ard_3-2-1_51HTD_2023-05-05_final.stac-item
2023-05-05 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2023-05-05_final.stac-item
2023-05-05 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2023-05-05_final.stac-item
2023-05-05 11:37:18	ga_s2bm_ard_3-2-1_51HTB_2023-05-05_final.stac-item
2023-05-05 11:37:33	ga_s2bm_ard_3-2-1_50HNG_2023-05-05_final.stac-item
2023-05-06 09:23:57	ga_s2bm_ard_3-2-1_56JNS_2023-05-05_final.stac-item
2023-05-06 09:25:28	ga_s2bm_ard_3-2-1_56JML_2023-05-05_final.stac-item
2023-05-06 09:28:19	ga_s2bm_ard_3-2-1_55GFQ_2023-05-05_final.stac-item
2023-05-06 09:28:31	ga_s2bm_ard_3-2-1_55GFP_2023-05-05_final.stac-item
2023-05-16 11:00:15	ga_s2bm_ard_3-2-1_53LLJ_2023-05-16_nrt.stac-item
2023-05-16 11:00:20	ga_s2bm_ard_3-2-1_52LHP_2023-05-16_nrt.stac-item
2023-05-16 11:06:34	ga_s2bm_ard_3-2-1_52HDJ_2023-05-16_nrt.stac-item
2023-05-17 10:36:47	ga_s2bm_ard_3-2-1_53HLC_2023-05-17_nrt.stac-item
2023-05-17 10:37:02	ga_s2bm_ard_3-2-1_53HLB_2023-05-17_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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