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
2023-07-13 12:05:42	ga_s2bm_ard_3-2-1_50JLP_2023-07-13_final.stac-item
2023-07-14 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2023-07-14_final.stac-item
2023-07-16 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2023-07-16_final.stac-item
2023-07-16 12:14:00	ga_s2bm_ard_3-2-1_49KHR_2023-07-16_final.stac-item
2023-07-16 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2023-07-16_final.stac-item
2023-07-16 12:14:13	ga_s2bm_ard_3-2-1_50KKV_2023-07-16_final.stac-item
2023-07-16 12:14:14	ga_s2bm_ard_3-2-1_49KHQ_2023-07-16_final.stac-item
2023-07-16 12:14:26	ga_s2bm_ard_3-2-1_49KHP_2023-07-16_final.stac-item
2023-07-16 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2023-07-16_final.stac-item
2023-07-16 12:14:36	ga_s2bm_ard_3-2-1_49JHN_2023-07-16_final.stac-item
2023-07-16 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2023-07-16_final.stac-item
2023-07-16 12:14:50	ga_s2bm_ard_3-2-1_49JFN_2023-07-16_final.stac-item
2023-07-16 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-07-16_final.stac-item
2023-07-16 12:15:05	ga_s2bm_ard_3-2-1_49JFM_2023-07-16_final.stac-item
2023-07-16 12:15:16	ga_s2bm_ard_3-2-1_49JGL_2023-07-16_final.stac-item
2023-07-16 12:15:24	ga_s2bm_ard_3-2-1_49JGK_2023-07-16_final.stac-item
2023-07-17 11:43:14	ga_s2bm_ard_3-2-1_50KQD_2023-07-17_final.stac-item
2023-07-17 11:43:24	ga_s2bm_ard_3-2-1_50KRC_2023-07-17_final.stac-item
2023-07-17 11:43:27	ga_s2bm_ard_3-2-1_50KQC_2023-07-17_final.stac-item
2023-07-17 11:43:53	ga_s2bm_ard_3-2-1_50KRA_2023-07-17_final.stac-item
2023-07-17 11:44:50	ga_s2bm_ard_3-2-1_50JRS_2023-07-17_final.stac-item
2023-07-17 11:45:27	ga_s2bm_ard_3-2-1_50JPQ_2023-07-17_final.stac-item
2023-07-17 11:45:45	ga_s2bm_ard_3-2-1_50JNP_2023-07-17_final.stac-item
2023-07-17 11:45:59	ga_s2bm_ard_3-2-1_50JNN_2023-07-17_final.stac-item
2023-07-17 11:46:06	ga_s2bm_ard_3-2-1_50JQM_2023-07-17_final.stac-item
2023-07-17 11:46:21	ga_s2bm_ard_3-2-1_50JQL_2023-07-17_final.stac-item
2023-07-17 11:46:25	ga_s2bm_ard_3-2-1_50JPL_2023-07-17_final.stac-item
2023-07-17 11:46:31	ga_s2bm_ard_3-2-1_50JML_2023-07-17_final.stac-item
2023-07-17 11:46:43	ga_s2bm_ard_3-2-1_50HNK_2023-07-17_final.stac-item
2023-07-17 11:46:46	ga_s2bm_ard_3-2-1_50HMK_2023-07-17_final.stac-item
2023-07-17 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2023-07-17_final.stac-item
2023-07-17 11:46:59	ga_s2bm_ard_3-2-1_50HQH_2023-07-17_final.stac-item
2023-07-17 11:47:01	ga_s2bm_ard_3-2-1_50HMJ_2023-07-17_final.stac-item
2023-07-17 11:47:08	ga_s2bm_ard_3-2-1_50HPH_2023-07-17_final.stac-item
2023-07-17 11:47:12	ga_s2bm_ard_3-2-1_50HNH_2023-07-17_final.stac-item
2023-07-17 11:47:15	ga_s2bm_ard_3-2-1_50HMH_2023-07-17_final.stac-item
2023-07-17 11:47:20	ga_s2bm_ard_3-2-1_50HLH_2023-07-17_final.stac-item
2023-07-17 11:47:26	ga_s2bm_ard_3-2-1_50HNG_2023-07-17_final.stac-item
2023-07-17 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2023-07-17_final.stac-item
2023-07-17 11:47:32	ga_s2bm_ard_3-2-1_50HLG_2023-07-17_final.stac-item
2023-07-20 11:53:09	ga_s2bm_ard_3-2-1_50KQD_2023-07-20_final.stac-item
2023-07-20 11:53:44	ga_s2bm_ard_3-2-1_50KMB_2023-07-20_final.stac-item
2023-07-20 11:53:50	ga_s2bm_ard_3-2-1_50KMB_2023-07-20_final.stac-item
2023-07-20 11:53:56	ga_s2bm_ard_3-2-1_50KPA_2023-07-20_final.stac-item
2023-07-20 11:53:59	ga_s2bm_ard_3-2-1_50KNA_2023-07-20_final.stac-item
2023-07-20 11:54:02	ga_s2bm_ard_3-2-1_50KMA_2023-07-20_final.stac-item
2023-07-20 11:54:14	ga_s2bm_ard_3-2-1_50KNV_2023-07-20_final.stac-item
2023-07-20 11:54:17	ga_s2bm_ard_3-2-1_50KMV_2023-07-20_final.stac-item
2023-07-20 11:54:29	ga_s2bm_ard_3-2-1_50JQT_2023-07-20_final.stac-item
2023-07-20 11:54:43	ga_s2bm_ard_3-2-1_50JNT_2023-07-20_final.stac-item
2023-07-20 11:54:46	ga_s2bm_ard_3-2-1_50JMT_2023-07-20_final.stac-item
2023-07-20 11:54:50	ga_s2bm_ard_3-2-1_50JLT_2023-07-20_final.stac-item
2023-07-20 11:54:57	ga_s2bm_ard_3-2-1_50JNS_2023-07-20_final.stac-item
2023-07-20 11:55:01	ga_s2bm_ard_3-2-1_50JMS_2023-07-20_final.stac-item
2023-07-20 11:55:08	ga_s2bm_ard_3-2-1_50JPR_2023-07-20_final.stac-item
2023-07-20 11:55:21	ga_s2bm_ard_3-2-1_50JPQ_2023-07-20_final.stac-item
2023-07-20 11:55:41	ga_s2bm_ard_3-2-1_50JNP_2023-07-20_final.stac-item
2023-07-20 11:55:48	ga_s2bm_ard_3-2-1_50JLP_2023-07-20_final.stac-item
2023-07-20 11:55:52	ga_s2bm_ard_3-2-1_50JKP_2023-07-20_final.stac-item
2023-07-20 11:55:55	ga_s2bm_ard_3-2-1_50JNN_2023-07-20_final.stac-item
2023-07-20 11:56:05	ga_s2bm_ard_3-2-1_50JKN_2023-07-20_final.stac-item
2023-07-20 11:56:31	ga_s2bm_ard_3-2-1_50JLL_2023-07-20_final.stac-item
2023-07-20 11:56:42	ga_s2bm_ard_3-2-1_50HMK_2023-07-20_final.stac-item
2023-07-20 11:56:57	ga_s2bm_ard_3-2-1_50HMJ_2023-07-20_final.stac-item
2023-07-20 11:57:12	ga_s2bm_ard_3-2-1_50HMH_2023-07-20_final.stac-item
2023-07-20 11:57:15	ga_s2bm_ard_3-2-1_50HLH_2023-07-20_final.stac-item
2023-07-20 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2023-07-20_final.stac-item
2023-07-20 11:57:28	ga_s2bm_ard_3-2-1_50HLG_2023-07-20_final.stac-item
2023-07-23 12:03:44	ga_s2bm_ard_3-2-1_50KMB_2023-07-23_final.stac-item
2023-07-23 12:03:47	ga_s2bm_ard_3-2-1_50KLB_2023-07-23_final.stac-item
2023-07-23 12:03:50	ga_s2bm_ard_3-2-1_50KNA_2023-07-23_final.stac-item
2023-07-23 12:03:50	ga_s2bm_ard_3-2-1_50KKB_2023-07-23_final.stac-item
2023-07-23 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2023-07-23_final.stac-item
2023-07-23 12:03:58	ga_s2bm_ard_3-2-1_50KMA_2023-07-23_final.stac-item
2023-07-23 12:04:02	ga_s2bm_ard_3-2-1_50KLA_2023-07-23_final.stac-item
2023-07-23 12:04:05	ga_s2bm_ard_3-2-1_49KHR_2023-07-23_final.stac-item
2023-07-23 12:04:19	ga_s2bm_ard_3-2-1_50KKV_2023-07-23_final.stac-item
2023-07-23 12:04:19	ga_s2bm_ard_3-2-1_49KHQ_2023-07-23_final.stac-item
2023-07-23 12:04:24	ga_s2bm_ard_3-2-1_49KGQ_2023-07-23_final.stac-item
2023-07-23 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2023-07-23_final.stac-item
2023-07-23 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2023-07-23_final.stac-item
2023-07-23 12:04:36	ga_s2bm_ard_3-2-1_50JMT_2023-07-23_final.stac-item
2023-07-23 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2023-07-23_final.stac-item
2023-07-23 12:04:38	ga_s2bm_ard_3-2-1_49KHP_2023-07-23_final.stac-item
2023-07-23 12:04:40	ga_s2bm_ard_3-2-1_49KGP_2023-07-23_final.stac-item
2023-07-23 12:04:42	ga_s2bm_ard_3-2-1_50JMT_2023-07-23_final.stac-item
2023-07-23 12:04:45	ga_s2bm_ard_3-2-1_50JLT_2023-07-23_final.stac-item
2023-07-23 12:04:48	ga_s2bm_ard_3-2-1_49JHN_2023-07-23_final.stac-item
2023-07-23 12:04:48	ga_s2bm_ard_3-2-1_50JKT_2023-07-23_final.stac-item
2023-07-23 12:04:52	ga_s2bm_ard_3-2-1_49JGN_2023-07-23_final.stac-item
2023-07-23 12:04:54	ga_s2bm_ard_3-2-1_50JMS_2023-07-23_final.stac-item
2023-07-23 12:05:03	ga_s2bm_ard_3-2-1_49JHM_2023-07-23_final.stac-item
2023-07-23 12:05:14	ga_s2bm_ard_3-2-1_49JFM_2023-07-23_final.stac-item
2023-07-23 12:05:21	ga_s2bm_ard_3-2-1_49JGL_2023-07-23_final.stac-item
2023-07-23 12:05:29	ga_s2bm_ard_3-2-1_50JLQ_2023-07-23_final.stac-item
2023-07-23 12:05:44	ga_s2bm_ard_3-2-1_50JLP_2023-07-23_final.stac-item
2023-07-23 12:05:47	ga_s2bm_ard_3-2-1_50JKP_2023-07-23_final.stac-item
2023-07-23 12:05:50	ga_s2bm_ard_3-2-1_49JGJ_2023-07-23_final.stac-item
2023-07-23 12:06:01	ga_s2bm_ard_3-2-1_50JKN_2023-07-23_final.stac-item
2023-07-23 12:06:04	ga_s2bm_ard_3-2-1_49JGH_2023-07-23_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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