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
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGK_2017-10-12_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGL_2017-10-12_final
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49KGR_2017-10-25_final
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49JFM_2017-12-24_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KGP_2018-05-03_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KGP_2018-05-10_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KHP_2018-05-10_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49KGQ_2018-06-09_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2018-09-27_final
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49KHP_2018-10-10_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49KGP_2018-10-17_final
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49KGQ_2018-10-20_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49KHP_2018-10-27_final
2018-11-26 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2018-11-26_final
2018-11-26 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2018-11-26_final
2018-12-16 12:04:25	ga_s2bm_ard_3-2-1_49KGP_2018-12-16_final
2019-01-28 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-01-28_final
2019-02-04 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2019-02-04_final
2019-06-27 12:14:21	ga_s2bm_ard_3-2-1_49KGQ_2019-06-27_final
2019-07-14 12:04:27	ga_s2bm_ard_3-2-1_49KGQ_2019-07-14_final
2019-07-17 12:14:21	ga_s2bm_ard_3-2-1_49KGQ_2019-07-17_final
2019-09-12 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2019-09-12_final
2019-09-25 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2019-09-25_final
2019-10-22 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2019-10-22_final
2019-11-04 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2019-11-04_final
2019-12-24 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2019-12-24_final
2019-12-24 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2019-12-24_final
2019-12-24 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2019-12-24_final
2020-01-23 12:14:06	ga_s2bm_ard_3-2-1_49KGQ_2020-01-23_final
2020-02-19 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2020-02-19_final
2020-04-29 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2020-04-29_final
2020-04-29 12:04:38	ga_s2bm_ard_3-2-1_49JHN_2020-04-29_final
2020-06-01 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2020-06-01_final
2020-06-08 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2020-06-08_final
2020-07-28 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2020-07-28_final
2020-09-06 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2020-09-06_final
2020-09-09 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2020-09-09_final
2020-09-09 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2020-09-09_final
2020-09-16 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2020-09-16_final
2020-09-26 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2020-09-26_final
2020-11-25 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2020-11-25_final
2020-11-28 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2020-11-28_final
2021-01-17 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-01-17_final
2021-02-13 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2021-02-13_final
2021-02-16 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2021-02-16_final
2021-03-18 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2021-03-18_final
2021-05-07 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2021-05-07_final
2021-06-13 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2021-06-13_final
2021-08-15 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2021-08-15_final
2021-09-01 12:04:38	ga_s2bm_ard_3-2-1_49JHN_2021-09-01_final
2021-09-01 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2021-09-01_final
2021-09-04 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2021-09-04_final
2021-10-01 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2021-10-01_final
2021-11-10 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2021-11-10_final
2021-11-13 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2021-11-13_final
2021-12-03 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2021-12-03_final
2021-12-03 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2021-12-03_final
2021-12-13 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2021-12-13_final
2021-12-23 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2021-12-23_final
2021-12-30 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2021-12-30_final
2022-02-01 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2022-02-01_final
2022-03-03 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2022-03-03_final
2022-03-03 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2022-03-03_final
2022-03-13 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2022-03-13_final
2022-04-19 12:04:35	ga_s2bm_ard_3-2-1_49JHN_2022-04-19_final
2022-05-02 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2022-05-02_final
2022-05-02 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2022-05-02_final
2022-05-02 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2022-05-02_final
2022-05-09 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2022-05-09_final
2022-06-21 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2022-06-21_final
2022-07-08 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2022-07-08_final
2022-07-11 12:15:15	ga_s2bm_ard_3-2-1_49JGL_2022-07-11_final
2022-07-18 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2022-07-18_final
2022-07-21 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2022-07-21_final
2022-08-07 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2022-08-07_final
2022-08-20 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2022-08-20_final
2022-09-26 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2022-09-26_final.stac-item
2022-10-26 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2022-10-26_final.stac-item
2022-10-29 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2022-10-29_final.stac-item
2022-12-08 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2022-12-08_final.stac-item
2022-12-18 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2022-12-18_final.stac-item
2022-12-25 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2022-12-25_final.stac-item
2022-12-28 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2022-12-28_final.stac-item
2023-01-24 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2023-01-24_final.stac-item
2023-03-05 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2023-03-05_final.stac-item
2023-03-08 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2023-03-08_final.stac-item
2023-03-25 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2023-03-25_final.stac-item
2023-04-07 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-04-07_final.stac-item
2023-05-04 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2023-05-04_final.stac-item
2023-06-03 12:04:38	ga_s2bm_ard_3-2-1_49KGP_2023-06-03_final.stac-item
2023-06-13 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2023-06-13_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 12:04:48	ga_s2bm_ard_3-2-1_49JHN_2023-07-23_final.stac-item
2023-08-15 12:15:02	ga_s2bm_ard_3-2-1_49JGM_2023-08-15_final.stac-item
2023-08-25 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2023-08-25_final.stac-item
2023-10-11 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2023-10-11_final.stac-item
2023-10-14 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2023-10-14_final.stac-item
2023-11-03 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2023-11-03_final.stac-item
2023-11-23 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2023-11-23_final.stac-item
2023-11-30 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2023-11-30_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