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
2017-07-27 12:14:41	ga_s2bm_ard_3-2-1_49JGL_2017-07-27_final
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_49JGL_2017-10-02_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49JGK_2017-11-01_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JFM_2017-11-24_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JGJ_2017-12-01_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49KGP_2017-12-11_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49JGL_2018-01-10_final
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49KGQ_2018-01-23_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGM_2018-02-19_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KHR_2018-03-31_final
2018-06-22 12:14:14	ga_s2bm_ard_3-2-1_49KGP_2018-06-22_final
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49JFM_2018-10-20_final
2018-11-29 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2018-11-29_final
2018-12-09 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2018-12-09_final
2018-12-26 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2018-12-26_final
2018-12-29 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2018-12-29_final
2019-01-05 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2019-01-05_final
2019-03-16 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2019-03-16_final
2019-03-29 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2019-03-29_final
2019-06-04 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-06-04_final
2019-08-03 12:04:07	ga_s2bm_ard_3-2-1_49KHR_2019-08-03_final
2019-08-06 12:15:03	ga_s2bm_ard_3-2-1_49JGM_2019-08-06_final
2019-08-16 12:14:01	ga_s2bm_ard_3-2-1_49KHR_2019-08-16_final
2019-08-16 12:14:19	ga_s2bm_ard_3-2-1_49KGQ_2019-08-16_final
2019-08-23 12:04:19	ga_s2bm_ard_3-2-1_49KHQ_2019-08-23_final
2019-08-23 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2019-08-23_final
2019-09-02 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2019-09-02_final
2019-09-12 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2019-09-12_final
2019-09-25 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-09-25_final
2020-02-02 12:15:03	ga_s2bm_ard_3-2-1_49JGL_2020-02-02_final
2020-02-12 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2020-02-12_final
2020-02-22 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2020-02-22_final
2020-02-22 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2020-02-22_final
2020-02-29 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2020-02-29_final
2020-04-02 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2020-04-02_final
2020-04-09 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2020-04-09_final
2020-04-29 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2020-04-29_final
2020-05-29 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2020-05-29_final
2020-09-09 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2020-09-09_final
2020-10-16 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2020-10-16_final
2020-10-16 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2020-10-16_final
2020-11-25 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2020-11-25_final
2021-01-14 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-01-14_final
2021-01-17 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2021-01-17_final
2021-01-27 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2021-01-27_final
2021-03-25 12:04:10	ga_s2bm_ard_3-2-1_49KGQ_2021-03-25_final
2021-04-04 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2021-04-04_final
2021-04-14 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2021-04-14_final
2021-04-24 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2021-04-24_final
2021-07-03 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2021-07-03_final
2021-07-13 12:04:49	ga_s2bm_ard_3-2-1_49JHM_2021-07-13_final
2021-07-23 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2021-07-23_final
2021-08-02 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2021-08-02_final
2021-08-22 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-08-22_final
2021-10-11 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2021-10-11_final
2021-10-14 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2021-10-14_final
2021-10-24 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2021-10-24_final
2021-11-03 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-11-03_final
2021-11-20 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2021-11-20_final
2021-11-30 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2021-11-30_final
2022-02-21 12:14:53	ga_s2bm_ard_3-2-1_49JFM_2022-02-21_final
2022-02-28 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2022-02-28_final
2022-03-13 12:15:04	ga_s2bm_ard_3-2-1_49JGL_2022-03-13_final
2022-03-23 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2022-03-23_final
2022-04-02 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2022-04-02_final
2022-05-22 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2022-05-22_final
2022-05-29 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2022-05-29_final
2022-05-29 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2022-05-29_final
2022-06-01 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-06-01_final
2022-07-08 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2022-07-08_final
2022-07-18 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2022-07-18_final
2022-08-17 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2022-08-17_final
2022-08-27 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2022-08-27_final
2022-09-09 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2022-09-09_final.stac-item
2022-10-06 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2022-10-06_final.stac-item
2022-11-15 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2022-11-15_final.stac-item
2022-11-15 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2022-11-15_final.stac-item
2022-11-28 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2022-11-28_final.stac-item
2022-12-18 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2022-12-18_final.stac-item
2023-01-07 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2023-01-07_final.stac-item
2023-02-03 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2023-02-03_final.stac-item
2023-03-05 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-03-05_final.stac-item
2023-04-07 12:15:02	ga_s2bm_ard_3-2-1_49JFM_2023-04-07_final.stac-item
2023-04-14 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2023-04-14_final.stac-item
2023-04-24 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2023-04-24_final.stac-item
2023-05-14 12:04:37	ga_s2bm_ard_3-2-1_49KHP_2023-05-14_final.stac-item
2023-07-16 12:14:18	ga_s2bm_ard_3-2-1_49KGQ_2023-07-16_final.stac-item
2023-07-23 12:04:05	ga_s2bm_ard_3-2-1_49KHR_2023-07-23_final.stac-item
2023-08-25 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2023-08-25_final.stac-item
2023-09-04 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2023-09-04_final.stac-item
2023-10-14 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2023-10-14_final.stac-item
2023-10-14 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2023-10-14_final.stac-item
2023-10-31 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-10-31_final.stac-item
2023-11-03 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2023-11-03_final.stac-item
2023-11-13 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2023-11-13_final.stac-item
2023-11-20 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2023-11-20_final.stac-item
2023-11-20 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2023-11-20_final.stac-item
2023-12-03 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2023-12-03_final.stac-item
2024-03-02 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2024-03-02_final.stac-item
2024-03-09 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2024-03-09_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

Other products

All years