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
2022-12-15 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2022-12-15_final.stac-item
2022-12-15 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2022-12-15_final.stac-item
2022-12-15 12:05:24	ga_s2bm_ard_3-2-1_50JKQ_2022-12-15_final.stac-item
2022-12-15 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2022-12-15_final.stac-item
2022-12-15 12:05:31	ga_s2bm_ard_3-2-1_49JFK_2022-12-15_nrt.stac-item
2022-12-15 12:05:35	ga_s2bm_ard_3-2-1_50JLP_2022-12-15_final.stac-item
2022-12-15 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2022-12-15_final.stac-item
2022-12-15 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2022-12-15_final.stac-item
2022-12-15 12:05:40	ga_s2bm_ard_3-2-1_49JFJ_2022-12-15_nrt.stac-item
2022-12-15 12:05:42	ga_s2bm_ard_3-2-1_50JLN_2022-12-15_final.stac-item
2022-12-15 12:05:42	ga_s2bm_ard_3-2-1_50JLP_2022-12-15_final.stac-item
2022-12-15 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2022-12-15_final.stac-item
2022-12-15 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2022-12-15_final.stac-item
2022-12-15 12:05:47	ga_s2bm_ard_3-2-1_49JFJ_2022-12-15_nrt.stac-item
2022-12-15 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2022-12-15_final.stac-item
2022-12-15 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2022-12-15_final.stac-item
2022-12-15 12:06:11	ga_s2bm_ard_3-2-1_49JGG_2022-12-15_nrt.stac-item
2022-12-15 12:06:12	ga_s2bm_ard_3-2-1_50JLL_2022-12-15_final.stac-item
2022-12-15 12:06:14	ga_s2bm_ard_3-2-1_49JFG_2022-12-15_nrt.stac-item
2022-12-16 09:50:57	ga_s2bm_ard_3-2-1_56LLJ_2022-12-16_nrt.stac-item
2022-12-16 09:50:59	ga_s2bm_ard_3-2-1_56LKJ_2022-12-16_nrt.stac-item
2022-12-16 09:51:00	ga_s2bm_ard_3-2-1_55LHD_2022-12-16_nrt.stac-item
2022-12-16 09:51:01	ga_s2bm_ard_3-2-1_55LGD_2022-12-16_nrt.stac-item
2022-12-16 09:51:03	ga_s2bm_ard_3-2-1_55LFD_2022-12-16_nrt.stac-item
2022-12-16 09:51:32	ga_s2bm_ard_3-2-1_55KFB_2022-12-16_final.stac-item
2022-12-16 09:51:46	ga_s2bm_ard_3-2-1_55KFA_2022-12-16_final.stac-item
2022-12-16 09:51:51	ga_s2bm_ard_3-2-1_55KEA_2022-12-16_nrt.stac-item
2022-12-16 09:52:17	ga_s2bm_ard_3-2-1_56KKC_2022-12-16_nrt.stac-item
2022-12-16 09:52:22	ga_s2bm_ard_3-2-1_55KHT_2022-12-16_nrt.stac-item
2022-12-16 09:52:33	ga_s2bm_ard_3-2-1_55KHS_2022-12-16_final.stac-item
2022-12-16 09:54:25	ga_s2bm_ard_3-2-1_55JFK_2022-12-16_final.stac-item
2022-12-16 09:54:36	ga_s2bm_ard_3-2-1_55JCK_2022-12-16_final.stac-item
2022-12-16 09:54:38	ga_s2bm_ard_3-2-1_55JFJ_2022-12-16_final.stac-item
2022-12-16 09:54:42	ga_s2bm_ard_3-2-1_55JDJ_2022-12-16_final.stac-item
2022-12-16 09:54:44	ga_s2bm_ard_3-2-1_55JCJ_2022-12-16_final.stac-item
2022-12-16 09:54:58	ga_s2bm_ard_3-2-1_55JEH_2022-12-16_final.stac-item
2022-12-16 09:55:02	ga_s2bm_ard_3-2-1_55JDH_2022-12-16_final.stac-item
2022-12-16 09:55:13	ga_s2bm_ard_3-2-1_55JEG_2022-12-16_final.stac-item
2022-12-16 09:55:16	ga_s2bm_ard_3-2-1_55JDG_2022-12-16_final.stac-item
2022-12-16 09:55:19	ga_s2bm_ard_3-2-1_55JCG_2022-12-16_final.stac-item
2022-12-16 09:55:22	ga_s2bm_ard_3-2-1_55JBG_2022-12-16_final.stac-item
2022-12-16 09:55:34	ga_s2bm_ard_3-2-1_55JCF_2022-12-16_final.stac-item
2022-12-16 09:55:41	ga_s2bm_ard_3-2-1_55HEE_2022-12-16_final.stac-item
2022-12-16 09:55:45	ga_s2bm_ard_3-2-1_55HDE_2022-12-16_final.stac-item
2022-12-16 09:55:49	ga_s2bm_ard_3-2-1_55HCE_2022-12-16_final.stac-item
2022-12-16 09:55:52	ga_s2bm_ard_3-2-1_55HBE_2022-12-16_final.stac-item
2022-12-16 09:55:55	ga_s2bm_ard_3-2-1_54HYK_2022-12-16_final.stac-item
2022-12-16 09:56:06	ga_s2bm_ard_3-2-1_55HBD_2022-12-16_final.stac-item
2022-12-16 09:56:08	ga_s2bm_ard_3-2-1_54HYJ_2022-12-16_final.stac-item
2022-12-16 09:56:14	ga_s2bm_ard_3-2-1_55HDC_2022-12-16_final.stac-item
2022-12-16 09:56:21	ga_s2bm_ard_3-2-1_55HBC_2022-12-16_final.stac-item
2022-12-16 09:56:23	ga_s2bm_ard_3-2-1_54HYH_2022-12-16_final.stac-item
2022-12-16 09:56:29	ga_s2bm_ard_3-2-1_55HDB_2022-12-16_final.stac-item
2022-12-16 09:56:32	ga_s2bm_ard_3-2-1_55HCB_2022-12-16_final.stac-item
2022-12-16 09:56:36	ga_s2bm_ard_3-2-1_55HBB_2022-12-16_final.stac-item
2022-12-16 09:56:43	ga_s2bm_ard_3-2-1_55HDA_2022-12-16_final.stac-item
2022-12-16 09:56:44	ga_s2bm_ard_3-2-1_54HXG_2022-12-16_final.stac-item
2022-12-16 09:56:52	ga_s2bm_ard_3-2-1_54HYF_2022-12-16_final.stac-item
2022-12-16 09:56:55	ga_s2bm_ard_3-2-1_54HXF_2022-12-16_final.stac-item
2022-12-16 09:57:06	ga_s2bm_ard_3-2-1_55HDU_2022-12-16_final.stac-item
2022-12-16 09:57:16	ga_s2bm_ard_3-2-1_55HCU_2022-12-16_final.stac-item
2022-12-16 09:57:19	ga_s2bm_ard_3-2-1_55HBU_2022-12-16_final.stac-item
2022-12-16 09:57:20	ga_s2bm_ard_3-2-1_54HYD_2022-12-16_final.stac-item
2022-12-16 09:57:24	ga_s2bm_ard_3-2-1_54HXD_2022-12-16_final.stac-item
2022-12-16 11:31:27	ga_s2bm_ard_3-2-1_52LBJ_2022-12-16_final.stac-item
2022-12-16 11:31:33	ga_s2bm_ard_3-2-1_51LZD_2022-12-16_final.stac-item
2022-12-16 11:31:37	ga_s2bm_ard_3-2-1_51LYD_2022-12-16_final.stac-item
2022-12-16 11:31:40	ga_s2bm_ard_3-2-1_51LXD_2022-12-16_final.stac-item
2022-12-16 11:32:24	ga_s2bm_ard_3-2-1_51KXA_2022-12-16_final.stac-item
2022-12-16 11:32:27	ga_s2bm_ard_3-2-1_51KWA_2022-12-16_final.stac-item
2022-12-16 11:32:30	ga_s2bm_ard_3-2-1_51KVA_2022-12-16_final.stac-item
2022-12-16 11:33:00	ga_s2bm_ard_3-2-1_51KYT_2022-12-16_final.stac-item
2022-12-16 11:34:13	ga_s2bm_ard_3-2-1_51JXN_2022-12-16_final.stac-item
2022-12-16 11:34:47	ga_s2bm_ard_3-2-1_50JRS_2022-12-16_final.stac-item
2022-12-16 11:35:02	ga_s2bm_ard_3-2-1_51JTL_2022-12-16_final.stac-item
2022-12-16 11:35:14	ga_s2bm_ard_3-2-1_51JUK_2022-12-16_final.stac-item
2022-12-16 11:35:17	ga_s2bm_ard_3-2-1_51JTK_2022-12-16_final.stac-item
2022-12-16 11:35:17	ga_s2bm_ard_3-2-1_51JWJ_2022-12-16_final.stac-item
2022-12-16 11:35:28	ga_s2bm_ard_3-2-1_51JUJ_2022-12-16_final.stac-item
2022-12-16 11:35:32	ga_s2bm_ard_3-2-1_51JTJ_2022-12-16_final.stac-item
2022-12-16 11:35:35	ga_s2bm_ard_3-2-1_50JQP_2022-12-16_final.stac-item
2022-12-16 11:35:39	ga_s2bm_ard_3-2-1_51JVH_2022-12-16_final.stac-item
2022-12-16 11:35:54	ga_s2bm_ard_3-2-1_51JVG_2022-12-16_final.stac-item
2022-12-16 11:35:58	ga_s2bm_ard_3-2-1_51JUG_2022-12-16_final.stac-item
2022-12-16 11:36:01	ga_s2bm_ard_3-2-1_51JTG_2022-12-16_final.stac-item
2022-12-16 11:36:03	ga_s2bm_ard_3-2-1_50JQM_2022-12-16_final.stac-item
2022-12-16 11:36:12	ga_s2bm_ard_3-2-1_51JUF_2022-12-16_final.stac-item
2022-12-16 11:36:22	ga_s2bm_ard_3-2-1_51HVE_2022-12-16_final.stac-item
2022-12-16 11:36:25	ga_s2bm_ard_3-2-1_50JPL_2022-12-16_final.stac-item
2022-12-16 11:36:27	ga_s2bm_ard_3-2-1_51HUE_2022-12-16_final.stac-item
2022-12-16 11:36:30	ga_s2bm_ard_3-2-1_51HTE_2022-12-16_final.stac-item
2022-12-16 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2022-12-16_final.stac-item
2022-12-16 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2022-12-16_final.stac-item
2022-12-16 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2022-12-16_final.stac-item
2022-12-16 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2022-12-16_final.stac-item
2022-12-16 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2022-12-16_final.stac-item
2022-12-16 11:37:10	ga_s2bm_ard_3-2-1_51HUB_2022-12-16_final.stac-item
2022-12-16 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2022-12-16_final.stac-item
2022-12-16 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2022-12-16_final.stac-item
2022-12-16 11:37:25	ga_s2bm_ard_3-2-1_50HNG_2022-12-16_final.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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