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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49KHR_2017-08-13_final
2017-08-16 12:14:39	ga_s2bm_ard_3-2-1_49JGL_2017-08-16_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HNK_2017-08-27_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49KHR_2018-03-11_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HNJ_2018-04-24_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HNK_2018-05-24_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HNH_2018-08-02_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HLH_2018-08-22_final
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49KGQ_2018-09-30_final
2018-11-19 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2018-11-19_final
2018-11-19 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2018-11-19_final
2018-12-09 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2018-12-09_final
2018-12-23 11:56:10	ga_s2bm_ard_3-2-1_50JKM_2018-12-23_final
2019-01-05 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2019-01-05_final.stac-item
2019-01-08 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2019-01-08_final
2019-01-08 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2019-01-08_final
2019-01-18 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2019-01-18_final
2019-03-13 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2019-03-13_final
2019-04-15 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2019-04-15_final
2019-05-15 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-05-15_final
2019-05-15 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-05-15_final
2019-06-04 12:03:52	ga_s2bm_ard_3-2-1_49KHS_2019-06-04_final.stac-item
2019-08-17 11:46:43	ga_s2bm_ard_3-2-1_50HNK_2019-08-17_final
2019-09-23 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2019-09-23_final.stac-item
2019-10-09 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2019-10-09_final
2019-11-01 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2019-11-01_final
2019-12-01 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2019-12-01_final.stac-item
2019-12-31 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2019-12-31_final
2020-01-10 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2020-01-10_final
2020-01-20 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2020-01-20_final
2020-02-13 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2020-02-13_final.stac-item
2020-03-20 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2020-03-20_final
2020-04-19 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2020-04-19_final
2020-04-22 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2020-04-22_final
2020-04-23 11:46:28	ga_s2bm_ard_3-2-1_50HPK_2020-04-23_final
2020-04-29 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2020-04-29_final
2020-05-03 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2020-05-03_final
2020-07-29 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2020-07-29_final
2020-08-10 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2020-08-10_final
2020-09-10 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2020-09-10_final
2020-11-06 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2020-11-06_final
2020-12-09 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2020-12-09_final
2021-01-17 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2021-01-17_final
2021-02-10 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2021-02-10_final
2021-05-17 12:15:03	ga_s2bm_ard_3-2-1_49JFM_2021-05-17_final
2021-06-03 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2021-06-03_final
2021-06-06 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2021-06-06_final
2021-06-14 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2021-06-14_final
2021-07-23 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2021-07-23_final
2021-07-24 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2021-07-24_final
2021-07-27 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-07-27_final
2021-08-03 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2021-08-03_final
2021-08-16 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2021-08-16_final
2021-09-15 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2021-09-15_final
2021-10-22 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2021-10-22_final
2021-11-01 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2021-11-01_final
2021-12-13 12:13:44	ga_s2bm_ard_3-2-1_49KHR_2021-12-13_final
2021-12-30 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2021-12-30_final
2022-01-06 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2022-01-06_final
2022-01-19 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2022-01-19_final
2022-01-19 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2022-01-19_final
2022-01-26 11:55:53	ga_s2bm_ard_3-2-1_50JKN_2022-01-26_final
2022-01-30 11:37:11	ga_s2bm_ard_3-2-1_50HQG_2022-01-30_final.stac-item
2022-02-01 12:14:35	ga_s2bm_ard_3-2-1_49JGN_2022-02-01_final
2022-02-08 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2022-02-08_final
2022-02-22 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2022-02-22_final
2022-03-10 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2022-03-10_final
2022-03-31 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2022-03-31_final
2022-05-03 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2022-05-03_final
2022-05-09 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2022-05-09_final
2022-06-19 11:36:38	ga_s2bm_ard_3-2-1_50HQK_2022-06-19_final
2022-06-22 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2022-06-22_final
2022-07-31 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2022-07-31_final
2022-10-07 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2022-10-07_final.stac-item
2022-10-07 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2022-10-07_final.stac-item
2022-10-30 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2022-10-30_final.stac-item
2022-11-05 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2022-11-05_final.stac-item
2022-11-09 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2022-11-09_final.stac-item
2022-11-25 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2022-11-25_final.stac-item
2023-01-01 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-01-01_final.stac-item
2023-02-03 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2023-02-03_final.stac-item
2023-02-23 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2023-02-23_final.stac-item
2023-03-09 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2023-03-09_final.stac-item
2023-03-15 12:05:48	ga_s2bm_ard_3-2-1_49JGJ_2023-03-15_final.stac-item
2023-05-17 12:15:15	ga_s2bm_ard_3-2-1_49JGL_2023-05-17_final.stac-item
2023-06-06 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2023-06-06_final.stac-item
2023-08-29 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2023-08-29_final.stac-item
2023-09-14 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2023-09-14_final.stac-item
2023-09-18 11:57:18	ga_s2bm_ard_3-2-1_49HGC_2023-09-18_nrt.stac-item
2023-11-11 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2023-11-11_final.stac-item
2023-12-20 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2023-12-20_final.stac-item
2023-12-20 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2023-12-20_final.stac-item
2024-01-29 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2024-01-29_final.stac-item
2024-01-29 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2024-01-29_final.stac-item
2024-01-29 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2024-01-29_final.stac-item
2024-02-08 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2024-02-08_final.stac-item
2024-02-25 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2024-02-25_final.stac-item
2024-03-03 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2024-03-03_final.stac-item
2024-03-20 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2024-03-20_final.stac-item
2024-04-29 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2024-04-29_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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