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
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_49JGN_2017-07-04_final.stac-item
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_49JGK_2017-07-04_final
2017-07-07 12:14:42	ga_s2bm_ard_3-2-1_49JGM_2017-07-07_final
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2017-08-03_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49JGN_2017-09-02_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49JHM_2017-09-02_final
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_49JGM_2017-10-02_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGM_2017-10-12_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49KHS_2017-11-21_final.stac-item
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49JGN_2017-12-21_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49JHN_2017-12-21_final
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49JGL_2018-01-23_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49KGP_2018-02-19_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49KHP_2018-02-19_final
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49JGM_2018-03-04_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49KGP_2018-03-11_final
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KHQ_2018-03-24_final
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-04-23_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KHS_2018-05-10_final.stac-item
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_49KHP_2018-05-30_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49KHR_2018-06-19_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49KHR_2018-07-09_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49JHN_2018-07-29_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49KHP_2018-08-18_final
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49KHQ_2018-08-28_final
2018-09-20 12:13:14	ga_s2bm_ard_3-2-1_49KHS_2018-09-20_final.stac-item
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49JGJ_2018-10-17_final
2019-01-15 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2019-01-15_final
2019-02-07 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-02-07_final
2019-03-16 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2019-03-16_final
2019-03-26 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2019-03-26_final
2019-04-05 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2019-04-05_final.stac-item
2019-04-05 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2019-04-05_final
2019-05-05 12:05:37	ga_s2bm_ard_3-2-1_49JGK_2019-05-05_final
2019-05-18 12:14:35	ga_s2bm_ard_3-2-1_49KGP_2019-05-18_final
2019-06-04 12:04:07	ga_s2bm_ard_3-2-1_49KHR_2019-06-04_final
2019-06-04 12:04:39	ga_s2bm_ard_3-2-1_49KGP_2019-06-04_final
2019-06-21 11:57:31	ga_s2bm_ard_3-2-1_50HLG_2019-06-21_final.stac-item
2019-07-14 12:05:17	ga_s2bm_ard_3-2-1_49JFM_2019-07-14_final
2019-08-13 12:04:52	ga_s2bm_ard_3-2-1_49JGN_2019-08-13_final
2019-08-16 12:13:46	ga_s2bm_ard_3-2-1_49KHS_2019-08-16_final.stac-item
2019-08-23 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2019-08-23_final
2019-12-01 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2019-12-01_final
2020-01-10 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2020-01-10_final
2020-01-13 12:14:54	ga_s2bm_ard_3-2-1_49JFM_2020-01-13_final
2020-02-26 11:57:20	ga_s2bm_ard_3-2-1_50HLG_2020-02-26_final.stac-item
2020-03-10 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2020-03-10_final
2020-03-10 12:05:20	ga_s2bm_ard_3-2-1_49JGK_2020-03-10_final
2020-04-29 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2020-04-29_final
2020-05-19 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2020-05-19_final
2020-06-05 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2020-06-05_final.stac-item
2020-06-08 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-06-08_final
2020-06-21 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2020-06-21_final
2020-07-08 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2020-07-08_final
2020-10-09 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2020-10-09_final
2020-10-09 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2020-10-09_final
2020-10-16 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-10-16_final
2020-10-26 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2020-10-26_final
2020-10-29 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2020-10-29_final
2020-11-05 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-11-05_final
2020-11-05 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-11-05_final
2020-11-05 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2020-11-05_final
2021-01-14 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-01-14_final
2021-01-14 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-01-14_final
2021-03-05 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2021-03-05_final.stac-item
2021-03-05 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-03-05_final
2021-03-15 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2021-03-15_final
2021-03-15 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-03-15_final
2021-03-25 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2021-03-25_final
2021-03-28 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2021-03-28_final
2021-04-04 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2021-04-04_final
2021-04-14 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2021-04-14_final
2021-04-14 12:04:39	ga_s2bm_ard_3-2-1_49JGN_2021-04-14_final
2021-04-24 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2021-04-24_final
2021-05-27 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2021-05-27_final
2021-06-06 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2021-06-06_final
2021-06-13 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2021-06-13_final
2021-06-16 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2021-06-16_final
2021-06-26 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2021-06-26_final
2021-06-26 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-06-26_final
2021-07-03 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2021-07-03_final
2021-07-16 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2021-07-16_final
2021-07-23 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2021-07-23_final
2021-08-02 12:04:24	ga_s2bm_ard_3-2-1_49KGQ_2021-08-02_final
2021-08-02 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2021-08-02_final
2021-08-05 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-08-05_final
2021-08-12 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2021-08-12_final
2021-08-15 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2021-08-15_final
2022-02-28 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2022-02-28_final
2022-06-11 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2022-06-11_final
2022-08-30 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2022-08-30_final
2022-11-18 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2022-11-18_final.stac-item
2023-03-19 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2023-03-19_final.stac-item
2023-05-04 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2023-05-04_final.stac-item
2023-05-24 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2023-05-24_final.stac-item
2023-06-13 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-06-13_final.stac-item
2023-08-02 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-08-02_final.stac-item
2023-09-11 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2023-09-11_final.stac-item
2023-09-21 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2023-09-21_final.stac-item
2023-10-04 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2023-10-04_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