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
2017-08-20 11:56:30	ga_s2bm_ard_3-2-1_50HMH_2017-08-20_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49KHP_2017-12-11_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49KHQ_2017-12-11_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HPH_2017-12-15_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49JGM_2018-03-14_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KGQ_2018-04-03_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HPJ_2018-04-14_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_50HQG_2018-09-28_final.stac-item
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49KGR_2018-10-20_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49KGQ_2018-10-30_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50HMG_2018-11-03_final.stac-item
2018-11-07 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2018-11-07_final.stac-item
2018-12-10 11:46:24	ga_s2bm_ard_3-2-1_50HQK_2018-12-10_final
2018-12-13 11:56:23	ga_s2bm_ard_3-2-1_50HNK_2018-12-13_final
2018-12-20 11:46:25	ga_s2bm_ard_3-2-1_50HQK_2018-12-20_final
2018-12-26 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2018-12-26_final
2018-12-30 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2018-12-30_final
2019-01-02 11:56:27	ga_s2bm_ard_3-2-1_50HNK_2019-01-02_final
2019-01-05 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2019-01-05_final
2019-01-05 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2019-01-05_final
2019-01-16 11:37:20	ga_s2bm_ard_3-2-1_50HPG_2019-01-16_final.stac-item
2019-01-18 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2019-01-18_final
2019-01-25 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2019-01-25_final
2019-01-25 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2019-01-25_final
2019-01-25 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2019-01-25_final
2019-01-29 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2019-01-29_final
2019-05-25 12:05:20	ga_s2bm_ard_3-2-1_50JKR_2019-05-25_final
2019-05-29 11:47:25	ga_s2bm_ard_3-2-1_50HPG_2019-05-29_final.stac-item
2019-06-08 11:47:32	ga_s2bm_ard_3-2-1_50HMG_2019-06-08_final.stac-item
2019-06-28 11:47:23	ga_s2bm_ard_3-2-1_50HLH_2019-06-28_final
2019-07-08 11:47:19	ga_s2bm_ard_3-2-1_50HMH_2019-07-08_final
2019-07-11 11:57:29	ga_s2bm_ard_3-2-1_50HMG_2019-07-11_final.stac-item
2019-07-15 11:37:26	ga_s2bm_ard_3-2-1_50HQG_2019-07-15_final.stac-item
2019-10-13 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2019-10-13_final.stac-item
2019-11-04 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2019-11-04_final
2019-11-14 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2019-11-14_final
2019-11-22 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2019-11-22_final.stac-item
2019-12-14 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2019-12-14_final
2019-12-24 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2019-12-24_final
2020-01-04 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2020-01-04_final.stac-item
2020-03-03 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2020-03-03_final
2020-03-24 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2020-03-24_final
2020-05-20 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2020-05-20_final
2020-06-25 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2020-06-25_final
2020-06-28 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-06-28_final
2020-07-01 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2020-07-01_final
2020-07-01 12:15:02	ga_s2bm_ard_3-2-1_49JFM_2020-07-01_final
2020-07-12 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2020-07-12_final
2020-08-28 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2020-08-28_final.stac-item
2020-09-06 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2020-09-06_final.stac-item
2020-09-16 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2020-09-16_final.stac-item
2020-09-19 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2020-09-19_final.stac-item
2020-09-26 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2020-09-26_final
2020-09-29 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2020-09-29_final
2020-10-09 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2020-10-09_final
2020-10-09 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2020-10-09_final
2020-10-10 11:47:21	ga_s2bm_ard_3-2-1_50HPG_2020-10-10_final.stac-item
2020-10-19 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2020-10-19_final
2020-10-26 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2020-10-26_final
2020-11-09 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2020-11-09_final
2020-12-12 11:57:17	ga_s2bm_ard_3-2-1_50HMG_2020-12-12_final.stac-item
2020-12-19 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2020-12-19_final.stac-item
2021-01-04 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2021-01-04_final
2021-01-25 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2021-01-25_final
2021-01-27 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2021-01-27_final
2021-02-26 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2021-02-26_final
2021-03-08 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2021-03-08_final
2021-03-08 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-03-08_final
2021-05-21 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2021-05-21_final
2021-07-07 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-07-07_final
2021-07-07 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2021-07-07_final.stac-item
2021-07-10 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2021-07-10_final
2021-07-27 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2021-07-27_final.stac-item
2021-08-13 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2021-08-13_final.stac-item
2021-08-15 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2021-08-15_final
2021-08-15 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-08-15_final
2021-09-14 12:13:36	ga_s2bm_ard_3-2-1_49KHS_2021-09-14_final.stac-item
2021-09-22 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2021-09-22_final.stac-item
2021-10-05 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-10-05_final.stac-item
2021-11-21 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2021-11-21_final
2021-11-21 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2021-11-21_final.stac-item
2021-12-01 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2021-12-01_final.stac-item
2021-12-04 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2021-12-04_final
2021-12-04 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2021-12-04_final.stac-item
2021-12-04 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2021-12-04_final.stac-item
2022-02-02 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2022-02-02_final
2022-02-09 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2022-02-09_final
2022-02-19 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2022-02-19_final
2022-02-22 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2022-02-22_final.stac-item
2022-10-07 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2022-10-07_final.stac-item
2022-10-10 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2022-10-10_final.stac-item
2022-11-29 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2022-11-29_final.stac-item
2023-01-08 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2023-01-08_final.stac-item
2023-04-15 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2023-04-15_final.stac-item
2023-04-15 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2023-04-15_final.stac-item
2023-06-04 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-06-04_final.stac-item
2023-06-04 11:37:30	ga_s2bm_ard_3-2-1_50HNG_2023-06-04_final.stac-item
2023-06-26 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-06-26_final.stac-item
2023-10-15 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2023-10-15_final.stac-item
2023-12-17 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2023-12-17_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