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
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50HLG_2017-09-09_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HLG_2018-02-06_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HLG_2018-02-16_final.stac-item
2021-11-30 12:06:05	ga_s2bm_ard_3-2-1_50JKM_2021-11-30_final
2021-12-10 12:06:04	ga_s2bm_ard_3-2-1_50JKM_2021-12-10_final
2021-12-20 12:06:04	ga_s2bm_ard_3-2-1_50JKM_2021-12-20_final
2021-12-30 12:06:05	ga_s2bm_ard_3-2-1_50JKM_2021-12-30_final
2022-01-09 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2022-01-09_final
2022-01-19 12:06:05	ga_s2bm_ard_3-2-1_50JKM_2022-01-19_final
2022-01-29 12:06:04	ga_s2bm_ard_3-2-1_50JKM_2022-01-29_final
2022-02-08 12:06:04	ga_s2bm_ard_3-2-1_50JKM_2022-02-08_final
2022-02-18 12:06:03	ga_s2bm_ard_3-2-1_50JKM_2022-02-18_final
2022-02-28 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2022-02-28_final
2022-03-10 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2022-03-10_final
2022-03-20 12:06:04	ga_s2bm_ard_3-2-1_50JKM_2022-03-20_final
2022-03-20 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2022-03-20_final
2022-03-30 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2022-03-30_final
2022-04-09 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2022-04-09_final
2022-04-19 12:06:05	ga_s2bm_ard_3-2-1_50JKM_2022-04-19_final
2022-04-29 12:06:03	ga_s2bm_ard_3-2-1_50JKM_2022-04-29_final
2022-05-09 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2022-05-09_final
2022-05-19 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2022-05-19_final
2022-05-29 12:06:10	ga_s2bm_ard_3-2-1_50JKM_2022-05-29_final
2022-06-08 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2022-06-08_final
2022-06-18 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2022-06-18_final
2022-06-28 12:06:15	ga_s2bm_ard_3-2-1_50JKM_2022-06-28_final
2022-07-08 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2022-07-08_final
2022-07-18 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2022-07-18_final
2022-07-28 12:06:15	ga_s2bm_ard_3-2-1_50JKM_2022-07-28_final
2022-08-07 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2022-08-07_final
2022-08-17 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2022-08-17_final
2022-08-27 12:06:10	ga_s2bm_ard_3-2-1_50JKM_2022-08-27_final
2022-09-06 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2022-09-06_final.stac-item
2022-09-16 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2022-09-16_final.stac-item
2022-09-26 12:06:10	ga_s2bm_ard_3-2-1_50JKM_2022-09-26_final.stac-item
2022-10-06 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2022-10-06_final.stac-item
2022-10-13 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2022-10-13_final.stac-item
2022-10-16 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2022-10-16_final.stac-item
2022-10-23 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2022-10-23_final.stac-item
2022-10-26 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2022-10-26_final.stac-item
2022-11-05 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2022-11-05_final.stac-item
2022-11-15 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2022-11-15_final.stac-item
2022-12-18 12:13:28	ga_s2bm_ard_3-2-1_49KHT_2022-12-18_nrt.stac-item
2022-12-28 12:13:28	ga_s2bm_ard_3-2-1_50KKC_2022-12-28_nrt.stac-item
2023-01-14 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2023-01-14_final.stac-item
2023-01-17 12:13:26	ga_s2bm_ard_3-2-1_50KKC_2023-01-17_nrt.stac-item
2023-01-17 12:13:26	ga_s2bm_ard_3-2-1_49KHT_2023-01-17_nrt.stac-item
2023-01-24 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2023-01-24_final.stac-item
2023-01-27 12:13:27	ga_s2bm_ard_3-2-1_50KKC_2023-01-27_nrt.stac-item
2023-02-03 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2023-02-03_final.stac-item
2023-02-06 12:13:27	ga_s2bm_ard_3-2-1_50KKC_2023-02-06_nrt.stac-item
2023-02-06 12:13:27	ga_s2bm_ard_3-2-1_49KHT_2023-02-06_nrt.stac-item
2023-02-13 12:03:32	ga_s2bm_ard_3-2-1_49KHT_2023-02-13_nrt.stac-item
2023-02-13 12:03:32	ga_s2bm_ard_3-2-1_50KKC_2023-02-13_nrt.stac-item
2023-02-26 12:13:30	ga_s2bm_ard_3-2-1_50KKC_2023-02-26_nrt.stac-item
2023-02-26 12:13:30	ga_s2bm_ard_3-2-1_49KHT_2023-02-26_nrt.stac-item
2023-03-08 12:13:33	ga_s2bm_ard_3-2-1_50KKC_2023-03-08_nrt.stac-item
2023-03-18 12:13:33	ga_s2bm_ard_3-2-1_50KKC_2023-03-18_nrt.stac-item
2023-03-18 12:13:33	ga_s2bm_ard_3-2-1_49KHT_2023-03-18_nrt.stac-item
2023-04-07 12:13:32	ga_s2bm_ard_3-2-1_50KKC_2023-04-07_nrt.stac-item
2023-04-07 12:13:32	ga_s2bm_ard_3-2-1_49KHT_2023-04-07_nrt.stac-item
2023-04-17 12:13:31	ga_s2bm_ard_3-2-1_50KKC_2023-04-17_nrt.stac-item
2023-04-17 12:13:31	ga_s2bm_ard_3-2-1_49KHT_2023-04-17_nrt.stac-item
2023-04-27 12:13:31	ga_s2bm_ard_3-2-1_50KKC_2023-04-27_nrt.stac-item
2023-04-27 12:13:31	ga_s2bm_ard_3-2-1_49KHT_2023-04-27_nrt.stac-item
2023-05-17 12:13:33	ga_s2bm_ard_3-2-1_50KKC_2023-05-17_nrt.stac-item
2023-05-17 12:13:33	ga_s2bm_ard_3-2-1_49KHT_2023-05-17_nrt.stac-item
2023-05-27 12:13:33	ga_s2bm_ard_3-2-1_50KKC_2023-05-27_nrt.stac-item
2023-05-27 12:13:33	ga_s2bm_ard_3-2-1_49KHT_2023-05-27_nrt.stac-item
2023-06-06 12:13:33	ga_s2bm_ard_3-2-1_50KKC_2023-06-06_nrt.stac-item
2023-06-06 12:13:33	ga_s2bm_ard_3-2-1_49KHT_2023-06-06_nrt.stac-item
2023-07-06 12:13:33	ga_s2bm_ard_3-2-1_50KKC_2023-07-06_nrt.stac-item
2023-07-06 12:13:34	ga_s2bm_ard_3-2-1_49KHT_2023-07-06_nrt.stac-item
2023-09-24 12:13:32	ga_s2bm_ard_3-2-1_49KHT_2023-09-24_nrt.stac-item
2023-09-28 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2023-09-28_final.stac-item
2023-10-04 12:13:29	ga_s2bm_ard_3-2-1_50KKC_2023-10-04_nrt.stac-item
2023-10-04 12:13:29	ga_s2bm_ard_3-2-1_49KHT_2023-10-04_nrt.stac-item
2023-10-08 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2023-10-08_final.stac-item
2023-10-11 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2023-10-11_final.stac-item
2023-10-18 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2023-10-18_final.stac-item
2023-10-18 11:56:07	ga_s2bm_ard_3-2-1_50JKM_2023-10-18_final.stac-item
2023-10-31 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2023-10-31_final.stac-item
2023-10-31 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2023-10-31_final.stac-item
2023-12-20 12:06:10	ga_s2bm_ard_3-2-1_50JKM_2023-12-20_final.stac-item
2023-12-30 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2023-12-30_final.stac-item
2024-01-12 12:13:26	ga_s2bm_ard_3-2-1_50KKC_2024-01-12_nrt.stac-item
2024-01-12 12:13:26	ga_s2bm_ard_3-2-1_49KHT_2024-01-12_nrt.stac-item
2024-01-19 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2024-01-19_final.stac-item
2024-01-22 12:13:27	ga_s2bm_ard_3-2-1_50KKC_2024-01-22_nrt.stac-item
2024-01-22 12:13:39	ga_s2bm_ard_3-2-1_50KKB_2024-01-22_final.stac-item
2024-01-29 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2024-01-29_final.stac-item
2024-02-08 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2024-02-08_final.stac-item
2024-02-21 12:13:40	ga_s2bm_ard_3-2-1_50KKB_2024-02-21_final.stac-item
2024-03-09 12:06:05	ga_s2bm_ard_3-2-1_50JKM_2024-03-09_final.stac-item
2024-03-12 12:13:36	ga_s2bm_ard_3-2-1_50KKB_2024-03-12_final.stac-item
2024-03-29 12:06:10	ga_s2bm_ard_3-2-1_50JKM_2024-03-29_final.stac-item
2024-04-08 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2024-04-08_final.stac-item
2024-04-21 12:13:40	ga_s2bm_ard_3-2-1_50KKB_2024-04-21_final.stac-item
2024-05-01 12:13:40	ga_s2bm_ard_3-2-1_50KKB_2024-05-01_final.stac-item
2024-05-25 11:57:25	ga_s2bm_ard_3-2-1_50HKG_2024-05-25_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

Other products

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