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
2017-07-07 12:13:43	ga_s2bm_ard_3-2-1_49KHS_2017-07-07_final.stac-item
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49KHS_2017-07-24_final.stac-item
2017-08-06 12:13:20	ga_s2bm_ard_3-2-1_49KHS_2017-08-06_final.stac-item
2017-08-16 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2017-08-16_final.stac-item
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49KHS_2017-08-26_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49KHS_2017-09-02_final.stac-item
2017-09-15 12:13:11	ga_s2bm_ard_3-2-1_49KHS_2017-09-15_final.stac-item
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49KHS_2017-09-22_final.stac-item
2017-10-05 12:13:06	ga_s2bm_ard_3-2-1_49KHS_2017-10-05_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HLG_2017-10-06_final.stac-item
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49KHS_2017-10-25_final.stac-item
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49KHS_2017-11-04_final.stac-item
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KHS_2017-11-14_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KHS_2017-11-24_final.stac-item
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49KHS_2017-12-01_final.stac-item
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49KHS_2017-12-24_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50HLG_2017-12-28_final.stac-item
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49KHS_2017-12-31_final.stac-item
2018-01-03 12:13:12	ga_s2bm_ard_3-2-1_49KHS_2018-01-03_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HLG_2018-01-04_final.stac-item
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49KHS_2018-01-13_final.stac-item
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50HLG_2018-01-17_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HLG_2018-01-24_final.stac-item
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49KHS_2018-01-30_final.stac-item
2018-02-02 12:13:14	ga_s2bm_ard_3-2-1_49KHS_2018-02-02_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49KHS_2018-02-09_final.stac-item
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49KHS_2018-02-12_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49KHS_2018-02-19_final.stac-item
2018-03-04 12:13:12	ga_s2bm_ard_3-2-1_49KHS_2018-03-04_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49KHS_2018-03-11_final.stac-item
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KHS_2018-03-14_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49KHS_2018-03-21_final.stac-item
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KHS_2018-03-24_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50HLG_2018-03-28_final.stac-item
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HLG_2018-04-04_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50HLG_2018-04-07_final.stac-item
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49KHS_2018-04-13_final.stac-item
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HLG_2018-04-17_final.stac-item
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KHS_2018-05-03_final.stac-item
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KHS_2018-05-10_final.stac-item
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49KHS_2018-05-20_final.stac-item
2018-06-02 12:13:18	ga_s2bm_ard_3-2-1_49KHS_2018-06-02_final.stac-item
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49KHS_2018-06-09_final.stac-item
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49KHS_2018-06-12_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49KHS_2018-06-19_final.stac-item
2018-06-22 12:13:20	ga_s2bm_ard_3-2-1_49KHS_2018-06-22_final.stac-item
2018-07-02 12:13:20	ga_s2bm_ard_3-2-1_49KHS_2018-07-02_final.stac-item
2018-07-22 12:13:19	ga_s2bm_ard_3-2-1_49KHS_2018-07-22_final.stac-item
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49KHS_2018-07-29_final.stac-item
2018-08-01 12:13:25	ga_s2bm_ard_3-2-1_49KHS_2018-08-01_final.stac-item
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_49KHS_2018-08-08_final.stac-item
2018-08-11 12:13:16	ga_s2bm_ard_3-2-1_49KHS_2018-08-11_final.stac-item
2018-08-18 12:02:43	ga_s2bm_ard_3-2-1_49KHS_2018-08-18_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49KHS_2018-08-18_final.stac-item
2018-08-21 12:13:14	ga_s2bm_ard_3-2-1_49KHS_2018-08-21_final.stac-item
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49KHS_2018-08-28_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49KHS_2018-09-07_final.stac-item
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49KHS_2018-09-10_final.stac-item
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49KHS_2018-09-17_final.stac-item
2018-09-20 12:13:14	ga_s2bm_ard_3-2-1_49KHS_2018-09-20_final.stac-item
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49KHS_2018-09-30_final.stac-item
2018-10-10 12:13:17	ga_s2bm_ard_3-2-1_49KHS_2018-10-10_final.stac-item
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49KHS_2018-10-10_final.stac-item
2018-10-30 12:13:19	ga_s2bm_ard_3-2-1_49KHS_2018-10-30_final.stac-item
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49KHS_2018-10-30_final.stac-item
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HNG_2018-10-31_final.stac-item
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HLG_2018-10-31_final.stac-item
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50HLG_2018-11-03_final.stac-item
2018-11-10 11:47:25	ga_s2bm_ard_3-2-1_50HLG_2018-11-10_final.stac-item
2018-11-16 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2018-11-16_final.stac-item
2018-11-23 11:57:20	ga_s2bm_ard_3-2-1_50HLG_2018-11-23_final.stac-item
2018-11-29 12:13:36	ga_s2bm_ard_3-2-1_49KHS_2018-11-29_final.stac-item
2018-12-09 12:13:34	ga_s2bm_ard_3-2-1_49KHS_2018-12-09_final.stac-item
2018-12-19 12:13:35	ga_s2bm_ard_3-2-1_49KHS_2018-12-19_final.stac-item
2018-12-26 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2018-12-26_final.stac-item
2023-08-15 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2023-08-15_final.stac-item
2023-08-15 12:14:00	ga_s2bm_ard_3-2-1_49KHR_2023-08-15_final.stac-item
2023-08-15 12:14:04	ga_s2bm_ard_3-2-1_49KGR_2023-08-15_final.stac-item
2023-08-15 12:14:14	ga_s2bm_ard_3-2-1_49KHQ_2023-08-15_final.stac-item
2023-08-15 12:14:18	ga_s2bm_ard_3-2-1_49KGQ_2023-08-15_final.stac-item
2023-08-15 12:14:26	ga_s2bm_ard_3-2-1_49KHP_2023-08-15_final.stac-item
2023-08-15 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2023-08-15_final.stac-item
2023-08-15 12:14:36	ga_s2bm_ard_3-2-1_49JHN_2023-08-15_final.stac-item
2023-08-15 12:14:47	ga_s2bm_ard_3-2-1_49JGN_2023-08-15_final.stac-item
2023-08-15 12:14:51	ga_s2bm_ard_3-2-1_49JFN_2023-08-15_final.stac-item
2023-08-15 12:15:02	ga_s2bm_ard_3-2-1_49JGM_2023-08-15_final.stac-item
2023-08-15 12:15:05	ga_s2bm_ard_3-2-1_49JFM_2023-08-15_final.stac-item
2023-08-15 12:15:16	ga_s2bm_ard_3-2-1_49JGL_2023-08-15_final.stac-item
2023-08-15 12:15:24	ga_s2bm_ard_3-2-1_49JGK_2023-08-15_final.stac-item
2023-08-25 12:13:27	ga_s2bm_ard_3-2-1_49KGU_2023-08-25_nrt.stac-item
2023-08-25 12:13:29	ga_s2bm_ard_3-2-1_49KFU_2023-08-25_nrt.stac-item
2023-08-25 12:13:32	ga_s2bm_ard_3-2-1_49KHT_2023-08-25_nrt.stac-item
2023-08-25 12:13:34	ga_s2bm_ard_3-2-1_49KGT_2023-08-25_nrt.stac-item
2023-08-25 12:13:37	ga_s2bm_ard_3-2-1_49KFT_2023-08-25_nrt.stac-item
2023-08-25 12:13:48	ga_s2bm_ard_3-2-1_49KGS_2023-08-25_nrt.stac-item
2023-08-25 12:13:51	ga_s2bm_ard_3-2-1_49KFS_2023-08-25_nrt.stac-item
2023-08-25 12:14:06	ga_s2bm_ard_3-2-1_49KFR_2023-08-25_nrt.stac-item
2023-08-25 12:14:20	ga_s2bm_ard_3-2-1_49KFQ_2023-08-25_nrt.stac-item
2023-08-25 12:14:35	ga_s2bm_ard_3-2-1_49KFP_2023-08-25_nrt.stac-item
2023-08-25 12:15:18	ga_s2bm_ard_3-2-1_49JFL_2023-08-25_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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