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
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49JGM_2017-11-01_final
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49JGN_2018-02-12_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-02-19_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGM_2018-03-01_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2018-04-10_final
2018-06-22 12:14:14	ga_s2bm_ard_3-2-1_49JGM_2018-06-22_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49JGM_2018-07-19_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49JGL_2018-07-29_final
2018-07-29 12:04:59	ga_s2bm_ard_3-2-1_49JGL_2018-07-29_final
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49JHM_2018-08-28_final
2019-02-27 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2019-02-27_final
2019-03-16 12:05:20	ga_s2bm_ard_3-2-1_49JGK_2019-03-16_final
2019-03-26 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2019-03-26_final
2019-04-05 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2019-04-05_final
2019-04-28 12:14:49	ga_s2bm_ard_3-2-1_49JGN_2019-04-28_final
2019-05-05 12:05:37	ga_s2bm_ard_3-2-1_49JGK_2019-05-05_final
2019-05-08 12:15:04	ga_s2bm_ard_3-2-1_49JGM_2019-05-08_final
2019-05-15 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2019-05-15_final
2019-05-18 12:15:05	ga_s2bm_ard_3-2-1_49JGM_2019-05-18_final
2019-05-28 12:14:50	ga_s2bm_ard_3-2-1_49JGN_2019-05-28_final
2019-05-28 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-05-28_final
2019-06-04 12:05:05	ga_s2bm_ard_3-2-1_49JHM_2019-06-04_final
2019-06-27 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-06-27_final
2019-07-07 12:14:50	ga_s2bm_ard_3-2-1_49JGN_2019-07-07_final
2019-07-24 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-07-24_final
2019-09-15 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-09-15_final
2019-10-02 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-10-02_final
2019-11-21 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2019-11-21_final
2020-01-10 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2020-01-10_final
2020-01-10 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2020-01-10_final
2020-02-02 12:14:34	ga_s2bm_ard_3-2-1_49JGN_2020-02-02_final
2020-03-10 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2020-03-10_final
2020-04-22 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2020-04-22_final
2020-05-02 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2020-05-02_final
2020-05-12 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2020-05-12_final
2020-07-11 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2020-07-11_final
2020-08-17 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2020-08-17_final
2020-10-16 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2020-10-16_final
2020-12-05 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2020-12-05_final
2021-03-05 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2021-03-05_final
2021-03-15 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-03-15_final
2021-03-25 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-03-25_final
2021-04-07 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2021-04-07_final
2021-04-24 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2021-04-24_final
2021-05-14 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-05-14_final
2021-06-16 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-06-16_final
2021-06-23 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2021-06-23_final
2021-08-05 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-08-05_final
2021-08-12 12:04:48	ga_s2bm_ard_3-2-1_49JHN_2021-08-12_final
2021-09-11 12:04:38	ga_s2bm_ard_3-2-1_49JHN_2021-09-11_final
2021-10-01 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2021-10-01_final
2021-10-11 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2021-10-11_final
2021-10-21 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2021-10-21_final
2021-11-20 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2021-11-20_final
2021-12-23 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2021-12-23_final
2021-12-30 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2021-12-30_final
2022-01-02 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2022-01-02_final
2022-02-08 12:04:25	ga_s2bm_ard_3-2-1_49KGP_2022-02-08_final
2022-02-08 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2022-02-08_final
2022-02-21 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2022-02-21_final
2022-02-28 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2022-02-28_final
2022-02-28 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2022-02-28_final
2022-03-03 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2022-03-03_final
2022-03-30 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2022-03-30_final
2022-04-19 12:04:35	ga_s2bm_ard_3-2-1_49JHN_2022-04-19_final
2022-04-19 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2022-04-19_final
2022-04-22 12:14:54	ga_s2bm_ard_3-2-1_49JFM_2022-04-22_final
2022-04-29 12:05:22	ga_s2bm_ard_3-2-1_49JGK_2022-04-29_final
2022-05-02 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2022-05-02_final
2022-05-19 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2022-05-19_final
2022-06-01 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2022-06-01_final
2022-06-18 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2022-06-18_final
2022-06-28 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2022-06-28_final
2022-07-01 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2022-07-01_final
2022-07-08 12:05:34	ga_s2bm_ard_3-2-1_49JGK_2022-07-08_final
2022-07-11 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2022-07-11_final
2022-08-07 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2022-08-07_final
2022-08-10 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2022-08-10_final
2022-08-17 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2022-08-17_final
2022-09-26 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2022-09-26_final.stac-item
2022-09-26 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2022-09-26_final.stac-item
2022-11-15 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2022-11-15_final.stac-item
2022-11-28 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2022-11-28_final.stac-item
2022-12-15 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2022-12-15_final.stac-item
2022-12-25 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2022-12-25_final.stac-item
2023-01-04 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2023-01-04_final.stac-item
2023-02-13 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2023-02-13_final.stac-item
2023-02-13 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2023-02-13_final.stac-item
2023-03-08 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2023-03-08_final.stac-item
2023-04-14 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2023-04-14_final.stac-item
2023-05-14 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2023-05-14_final.stac-item
2023-06-03 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2023-06-03_final.stac-item
2023-06-16 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2023-06-16_final.stac-item
2023-06-26 12:15:15	ga_s2bm_ard_3-2-1_49JGL_2023-06-26_final.stac-item
2023-07-13 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2023-07-13_final.stac-item
2023-08-12 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2023-08-12_final.stac-item
2023-10-24 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2023-10-24_final.stac-item
2023-11-23 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2023-11-23_final.stac-item
2023-12-10 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2023-12-10_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