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:

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First 100 results (query limit)

Time (local)	Label
2023-01-21 11:51:11	ga_s2bm_ard_3-2-1_51LUF_2023-01-21_final.stac-item
2023-01-21 11:51:25	ga_s2bm_ard_3-2-1_51LUE_2023-01-21_final.stac-item
2023-01-21 11:52:57	ga_s2bm_ard_3-2-1_50KRD_2023-01-21_final.stac-item
2023-01-21 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2023-01-21_final.stac-item
2023-01-21 11:53:29	ga_s2bm_ard_3-2-1_50KQB_2023-01-21_final.stac-item
2023-01-21 11:53:33	ga_s2bm_ard_3-2-1_50KPB_2023-01-21_final.stac-item
2023-01-21 11:53:44	ga_s2bm_ard_3-2-1_50KQA_2023-01-21_final.stac-item
2023-01-21 11:53:51	ga_s2bm_ard_3-2-1_50KNA_2023-01-21_final.stac-item
2023-01-21 11:53:58	ga_s2bm_ard_3-2-1_50KQV_2023-01-21_final.stac-item
2023-01-21 11:54:09	ga_s2bm_ard_3-2-1_50KMV_2023-01-21_final.stac-item
2023-01-21 11:54:11	ga_s2bm_ard_3-2-1_50KQU_2023-01-21_final.stac-item
2023-01-21 11:54:31	ga_s2bm_ard_3-2-1_50KLU_2023-01-21_final.stac-item
2023-01-21 11:54:42	ga_s2bm_ard_3-2-1_50JLT_2023-01-21_final.stac-item
2023-01-21 11:54:46	ga_s2bm_ard_3-2-1_50JPS_2023-01-21_final.stac-item
2023-01-21 11:54:53	ga_s2bm_ard_3-2-1_50JMS_2023-01-21_final.stac-item
2023-01-21 11:55:04	ga_s2bm_ard_3-2-1_50JNR_2023-01-21_final.stac-item
2023-01-21 11:55:18	ga_s2bm_ard_3-2-1_50JNQ_2023-01-21_final.stac-item
2023-01-21 11:56:20	ga_s2bm_ard_3-2-1_50JML_2023-01-21_final.stac-item
2023-01-21 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2023-01-21_final.stac-item
2023-01-21 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2023-01-21_final.stac-item
2023-01-22 11:22:13	ga_s2bm_ard_3-2-1_51KYB_2023-01-22_final.stac-item
2023-01-22 11:22:21	ga_s2bm_ard_3-2-1_51KZA_2023-01-22_final.stac-item
2023-01-22 11:22:39	ga_s2bm_ard_3-2-1_51KYV_2023-01-22_final.stac-item
2023-01-22 11:23:18	ga_s2bm_ard_3-2-1_52KBB_2023-01-22_final.stac-item
2023-01-22 11:23:19	ga_s2bm_ard_3-2-1_51KZS_2023-01-22_final.stac-item
2023-01-22 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2023-01-22_final.stac-item
2023-01-22 11:23:33	ga_s2bm_ard_3-2-1_52KBA_2023-01-22_final.stac-item
2023-01-22 11:24:35	ga_s2bm_ard_3-2-1_51JYM_2023-01-22_final.stac-item
2023-01-22 11:24:42	ga_s2bm_ard_3-2-1_51JWM_2023-01-22_final.stac-item
2023-01-22 11:24:57	ga_s2bm_ard_3-2-1_51JWL_2023-01-22_final.stac-item
2023-01-22 11:25:01	ga_s2bm_ard_3-2-1_51JVL_2023-01-22_final.stac-item
2023-01-22 11:26:12	ga_s2bm_ard_3-2-1_51JVF_2023-01-22_final.stac-item
2023-01-22 11:26:24	ga_s2bm_ard_3-2-1_51HWE_2023-01-22_final.stac-item
2023-01-22 11:26:38	ga_s2bm_ard_3-2-1_51HWD_2023-01-22_final.stac-item
2023-01-22 11:26:45	ga_s2bm_ard_3-2-1_51HUD_2023-01-22_final.stac-item
2023-01-22 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2023-01-22_final.stac-item
2023-01-23 10:55:15	ga_s2bm_ard_3-2-1_52JFP_2023-01-23_final.stac-item
2023-01-23 10:55:54	ga_s2bm_ard_3-2-1_52JGL_2023-01-23_final.stac-item
2023-01-23 10:56:02	ga_s2bm_ard_3-2-1_52JEL_2023-01-23_final.stac-item
2023-01-24 12:03:25	ga_s2bm_ard_3-2-1_50KLC_2023-01-24_final.stac-item
2023-01-24 12:03:42	ga_s2bm_ard_3-2-1_50KNA_2023-01-24_final.stac-item
2023-01-24 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2023-01-24_final.stac-item
2023-01-24 12:04:05	ga_s2bm_ard_3-2-1_50KMV_2023-01-24_final.stac-item
2023-01-24 12:04:08	ga_s2bm_ard_3-2-1_50KLV_2023-01-24_final.stac-item
2023-01-24 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2023-01-24_final.stac-item
2023-01-24 12:04:34	ga_s2bm_ard_3-2-1_50JMT_2023-01-24_final.stac-item
2023-01-24 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2023-01-24_final.stac-item
2023-01-24 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2023-01-24_final.stac-item
2023-01-24 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2023-01-24_final.stac-item
2023-01-25 11:31:21	ga_s2bm_ard_3-2-1_51LYE_2023-01-25_final.stac-item
2023-01-25 11:31:27	ga_s2bm_ard_3-2-1_51LYD_2023-01-25_final.stac-item
2023-01-25 11:31:28	ga_s2bm_ard_3-2-1_51LYE_2023-01-25_final.stac-item
2023-01-25 11:31:37	ga_s2bm_ard_3-2-1_51LYD_2023-01-25_final.stac-item
2023-01-25 11:31:40	ga_s2bm_ard_3-2-1_51LXD_2023-01-25_final.stac-item
2023-01-25 11:31:47	ga_s2bm_ard_3-2-1_51LZC_2023-01-25_final.stac-item
2023-01-25 11:31:55	ga_s2bm_ard_3-2-1_51LXC_2023-01-25_final.stac-item
2023-01-25 11:32:05	ga_s2bm_ard_3-2-1_51KYB_2023-01-25_final.stac-item
2023-01-25 11:32:09	ga_s2bm_ard_3-2-1_51KXB_2023-01-25_final.stac-item
2023-01-25 11:32:12	ga_s2bm_ard_3-2-1_51KWB_2023-01-25_final.stac-item
2023-01-25 11:32:18	ga_s2bm_ard_3-2-1_51KVB_2023-01-25_final.stac-item
2023-01-25 11:32:24	ga_s2bm_ard_3-2-1_51KXA_2023-01-25_final.stac-item
2023-01-25 11:32:27	ga_s2bm_ard_3-2-1_51KWA_2023-01-25_final.stac-item
2023-01-25 11:32:30	ga_s2bm_ard_3-2-1_51KVA_2023-01-25_final.stac-item
2023-01-25 11:32:35	ga_s2bm_ard_3-2-1_51KYV_2023-01-25_final.stac-item
2023-01-25 11:32:42	ga_s2bm_ard_3-2-1_51KWV_2023-01-25_final.stac-item
2023-01-25 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2023-01-25_final.stac-item
2023-01-25 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2023-01-25_final.stac-item
2023-01-25 11:34:01	ga_s2bm_ard_3-2-1_51KUQ_2023-01-25_final.stac-item
2023-01-25 11:34:13	ga_s2bm_ard_3-2-1_51JXN_2023-01-25_final.stac-item
2023-01-25 11:34:15	ga_s2bm_ard_3-2-1_51KUP_2023-01-25_final.stac-item
2023-01-25 11:34:27	ga_s2bm_ard_3-2-1_51JVN_2023-01-25_final.stac-item
2023-01-25 11:34:30	ga_s2bm_ard_3-2-1_51JUN_2023-01-25_final.stac-item
2023-01-25 11:34:35	ga_s2bm_ard_3-2-1_50JRT_2023-01-25_final.stac-item
2023-01-25 11:34:38	ga_s2bm_ard_3-2-1_51JWM_2023-01-25_final.stac-item
2023-01-25 11:34:41	ga_s2bm_ard_3-2-1_51JVM_2023-01-25_final.stac-item
2023-01-25 11:34:52	ga_s2bm_ard_3-2-1_51JWL_2023-01-25_final.stac-item
2023-01-25 11:34:56	ga_s2bm_ard_3-2-1_51JVL_2023-01-25_final.stac-item
2023-01-25 11:35:14	ga_s2bm_ard_3-2-1_51JUK_2023-01-25_final.stac-item
2023-01-25 11:35:28	ga_s2bm_ard_3-2-1_51JUJ_2023-01-25_final.stac-item
2023-01-25 11:35:31	ga_s2bm_ard_3-2-1_51JTJ_2023-01-25_final.stac-item
2023-01-25 11:35:43	ga_s2bm_ard_3-2-1_51JUH_2023-01-25_final.stac-item
2023-01-25 11:35:46	ga_s2bm_ard_3-2-1_51JTH_2023-01-25_final.stac-item
2023-01-25 11:36:08	ga_s2bm_ard_3-2-1_51JVF_2023-01-25_final.stac-item
2023-01-25 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2023-01-25_final.stac-item
2023-01-25 11:36:41	ga_s2bm_ard_3-2-1_51HUD_2023-01-25_final.stac-item
2023-01-25 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2023-01-25_final.stac-item
2023-01-25 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2023-01-25_final.stac-item
2023-01-25 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2023-01-25_final.stac-item
2023-01-26 11:04:16	ga_s2bm_ard_3-2-1_52JET_2023-01-26_final.stac-item
2023-01-26 11:04:19	ga_s2bm_ard_3-2-1_52JDT_2023-01-26_final.stac-item
2023-01-26 11:04:30	ga_s2bm_ard_3-2-1_52JES_2023-01-26_final.stac-item
2023-01-26 11:05:06	ga_s2bm_ard_3-2-1_52JFP_2023-01-26_final.stac-item
2023-01-26 11:05:13	ga_s2bm_ard_3-2-1_52JFP_2023-01-26_final.stac-item
2023-01-26 11:05:24	ga_s2bm_ard_3-2-1_52JFN_2023-01-26_final.stac-item
2023-01-26 11:05:32	ga_s2bm_ard_3-2-1_52JDN_2023-01-26_final.stac-item
2023-01-26 11:05:35	ga_s2bm_ard_3-2-1_52JCN_2023-01-26_final.stac-item
2023-01-26 11:05:46	ga_s2bm_ard_3-2-1_52JDM_2023-01-26_final.stac-item
2023-01-26 11:05:50	ga_s2bm_ard_3-2-1_52JCM_2023-01-26_final.stac-item
2023-01-26 11:05:57	ga_s2bm_ard_3-2-1_52JEL_2023-01-26_final.stac-item
2023-01-26 11:06:01	ga_s2bm_ard_3-2-1_52JDL_2023-01-26_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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