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 12:04:34	ga_s2bm_ard_3-2-1_49JGM_2017-07-04_final
2017-08-27 11:47:17	ga_s2bm_ard_3-2-1_50HMG_2017-08-27_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49KHS_2017-09-02_final.stac-item
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50HPJ_2017-09-23_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HLG_2017-11-05_final.stac-item
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_50HPG_2017-12-12_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HMH_2017-12-15_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HMJ_2018-01-04_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HLJ_2018-02-26_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGK_2018-03-01_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_50HQG_2018-03-02_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JKP_2018-03-21_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HPH_2018-03-22_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HPK_2018-03-22_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JKN_2018-03-28_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKQ_2018-03-31_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JLN_2018-04-07_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50HQH_2018-04-11_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JLP_2018-04-20_final
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_49KHP_2018-05-30_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_50HPG_2018-07-10_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HLG_2018-07-23_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HMG_2018-07-23_final.stac-item
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_50HQG_2018-08-19_final.stac-item
2018-12-19 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2018-12-19_final
2018-12-20 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2018-12-20_final.stac-item
2018-12-29 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2018-12-29_final
2019-01-09 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2019-01-09_final.stac-item
2019-01-12 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2019-01-12_final
2019-01-19 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2019-01-19_final.stac-item
2019-01-28 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2019-01-28_final
2019-02-04 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-02-04_final
2019-02-07 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2019-02-07_final.stac-item
2019-02-08 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2019-02-08_final
2019-02-27 12:13:38	ga_s2bm_ard_3-2-1_49KHS_2019-02-27_final.stac-item
2019-04-02 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2019-04-02_final
2019-05-22 11:56:08	ga_s2bm_ard_3-2-1_50JKN_2019-05-22_final
2019-05-26 11:36:46	ga_s2bm_ard_3-2-1_50HPK_2019-05-26_final
2019-06-11 11:55:52	ga_s2bm_ard_3-2-1_50JLP_2019-06-11_final
2019-06-24 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-06-24_final
2019-08-17 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2019-08-17_final.stac-item
2019-08-26 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2019-08-26_final.stac-item
2019-10-13 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2019-10-13_final
2019-11-05 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-11-05_final
2019-11-05 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2019-11-05_final.stac-item
2019-11-12 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2019-11-12_final.stac-item
2019-12-25 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2019-12-25_final
2019-12-25 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2019-12-25_final.stac-item
2020-01-17 11:57:03	ga_s2bm_ard_3-2-1_50HLH_2020-01-17_final
2020-01-23 12:14:49	ga_s2bm_ard_3-2-1_49JGM_2020-01-23_final
2020-02-13 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2020-02-13_final
2020-02-13 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2020-02-13_final
2020-02-13 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2020-02-13_final.stac-item
2020-02-26 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2020-02-26_final
2020-03-27 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2020-03-27_final
2020-03-27 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2020-03-27_final
2020-04-06 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2020-04-06_final
2020-06-28 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2020-06-28_final.stac-item
2020-08-07 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2020-08-07_final
2020-10-20 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2020-10-20_final.stac-item
2020-10-26 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2020-10-26_final.stac-item
2020-10-27 11:37:30	ga_s2bm_ard_3-2-1_50HNG_2020-10-27_final.stac-item
2020-12-29 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2020-12-29_final.stac-item
2021-01-08 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2021-01-08_final
2021-01-11 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2021-01-11_final
2021-01-14 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2021-01-14_final
2021-01-18 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2021-01-18_final
2021-02-06 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-02-06_final
2021-02-10 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2021-02-10_final.stac-item
2021-03-16 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2021-03-16_final.stac-item
2021-03-19 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2021-03-19_final.stac-item
2021-06-13 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-06-13_final
2021-06-23 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2021-06-23_final
2021-07-13 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2021-07-13_final
2021-07-27 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2021-07-27_final
2021-07-27 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-07-27_final
2021-08-02 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2021-08-02_final
2021-08-16 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2021-08-16_final.stac-item
2021-08-22 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-08-22_final
2021-08-22 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2021-08-22_final
2021-10-22 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2021-10-22_final.stac-item
2021-12-04 11:46:49	ga_s2bm_ard_3-2-1_50HQH_2021-12-04_final
2021-12-07 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2021-12-07_final
2022-01-30 11:37:11	ga_s2bm_ard_3-2-1_50HQG_2022-01-30_final.stac-item
2022-08-17 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2022-08-17_final.stac-item
2022-09-06 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2022-09-06_final.stac-item
2022-09-26 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2022-09-26_final.stac-item
2022-10-10 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2022-10-10_final.stac-item
2023-01-11 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2023-01-11_final.stac-item
2023-01-11 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2023-01-11_final.stac-item
2023-05-04 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-05-04_final.stac-item
2023-06-07 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2023-06-07_final.stac-item
2023-08-03 11:36:38	ga_s2bm_ard_3-2-1_50HQK_2023-08-03_final.stac-item
2023-08-12 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2023-08-12_final.stac-item
2023-11-04 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2023-11-04_final.stac-item
2023-11-10 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2023-11-10_final.stac-item
2023-12-17 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-12-17_final.stac-item
2023-12-24 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2023-12-24_final.stac-item
2023-12-30 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2023-12-30_final.stac-item
2024-03-20 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2024-03-20_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