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
2017-07-07 12:14:42	ga_s2bm_ard_3-2-1_49JGL_2017-07-07_final
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2017-07-14_final
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JGL_2017-08-03_final
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JGM_2017-08-03_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49JGL_2017-09-02_final
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50HNG_2017-09-23_final.stac-item
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50HMH_2017-11-08_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HNG_2017-11-15_final.stac-item
2017-11-22 11:35:56	ga_s2bm_ard_3-2-1_50HPG_2017-11-22_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HMK_2017-12-15_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HNG_2017-12-25_final.stac-item
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HMK_2018-01-07_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49KHP_2018-03-01_final
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49JGL_2018-03-04_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HNG_2018-03-05_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JHN_2018-03-11_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JGK_2018-07-09_final
2018-07-13 11:46:48	ga_s2bm_ard_3-2-1_50HMG_2018-07-13_final.stac-item
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_49JGN_2018-07-29_final
2018-07-29 12:04:59	ga_s2bm_ard_3-2-1_49JGK_2018-07-29_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49JGL_2018-08-21_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49JGL_2018-09-07_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49JHN_2018-09-07_final
2019-02-01 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2019-02-01_final.stac-item
2019-02-08 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2019-02-08_final.stac-item
2019-02-14 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2019-02-14_final.stac-item
2019-02-18 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2019-02-18_final
2019-03-09 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2019-03-09_final
2019-03-20 11:46:47	ga_s2bm_ard_3-2-1_50HMJ_2019-03-20_final
2019-03-20 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2019-03-20_final
2019-03-26 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-03-26_final
2019-03-29 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2019-03-29_final
2019-04-05 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2019-04-05_final
2019-05-05 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-05-05_final
2019-05-09 11:46:49	ga_s2bm_ard_3-2-1_50HMK_2019-05-09_final
2019-06-01 11:56:59	ga_s2bm_ard_3-2-1_50HMJ_2019-06-01_final
2019-06-08 11:46:45	ga_s2bm_ard_3-2-1_50HNK_2019-06-08_final
2019-06-18 11:47:28	ga_s2bm_ard_3-2-1_50HNG_2019-06-18_final.stac-item
2019-08-07 11:47:28	ga_s2bm_ard_3-2-1_50HNG_2019-08-07_final.stac-item
2019-08-27 11:47:21	ga_s2bm_ard_3-2-1_50HPG_2019-08-27_final.stac-item
2019-09-06 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2019-09-06_final.stac-item
2019-10-02 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2019-10-02_final.stac-item
2019-10-26 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2019-10-26_final
2019-12-15 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2019-12-15_final
2019-12-25 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2019-12-25_final
2019-12-25 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2019-12-25_final.stac-item
2020-01-07 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2020-01-07_final
2020-01-07 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2020-01-07_final
2020-01-17 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2020-01-17_final
2020-02-13 11:46:36	ga_s2bm_ard_3-2-1_50HMK_2020-02-13_final
2020-03-10 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2020-03-10_final
2020-03-24 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2020-03-24_final
2020-04-03 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2020-04-03_final
2020-04-13 11:47:02	ga_s2bm_ard_3-2-1_50HNH_2020-04-13_final
2020-04-23 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-04-23_final
2020-06-02 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2020-06-02_final.stac-item
2020-08-31 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2020-08-31_final.stac-item
2020-08-31 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2020-08-31_final.stac-item
2020-08-31 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2020-08-31_final.stac-item
2020-10-10 11:47:10	ga_s2bm_ard_3-2-1_50HNH_2020-10-10_final
2020-10-10 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2020-10-10_final
2020-10-16 12:04:53	ga_s2bm_ard_3-2-1_49JGN_2020-10-16_final
2020-10-16 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2020-10-16_final
2020-10-20 11:46:44	ga_s2bm_ard_3-2-1_50HMK_2020-10-20_final
2020-10-20 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2020-10-20_final
2020-10-26 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2020-10-26_final
2020-12-09 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2020-12-09_final
2020-12-22 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2020-12-22_final
2020-12-22 11:57:17	ga_s2bm_ard_3-2-1_50HMG_2020-12-22_final.stac-item
2020-12-22 11:57:20	ga_s2bm_ard_3-2-1_50HLG_2020-12-22_final.stac-item
2021-01-28 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2021-01-28_final.stac-item
2021-03-19 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2021-03-19_final
2021-03-25 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-03-25_final
2021-03-26 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2021-03-26_final
2021-03-29 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2021-03-29_final
2021-04-14 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2021-04-14_final
2021-04-21 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2021-04-21_final
2021-04-24 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2021-04-24_final
2021-05-28 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2021-05-28_final
2021-05-28 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2021-05-28_final
2021-06-13 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-06-13_final
2021-06-23 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2021-06-23_final
2021-06-26 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-06-26_final
2021-07-17 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2021-07-17_final.stac-item
2021-07-30 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2021-07-30_final
2021-08-03 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2021-08-03_final
2021-08-06 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2021-08-06_final
2021-08-12 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2021-08-12_final
2021-08-12 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2021-08-12_final
2021-08-16 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2021-08-16_final
2021-09-02 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2021-09-02_final.stac-item
2021-10-24 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2021-10-24_final
2021-11-04 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2021-11-04_final.stac-item
2021-11-14 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2021-11-14_final
2022-11-19 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2022-11-19_final.stac-item
2023-02-03 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2023-02-03_final.stac-item
2023-11-24 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2023-11-24_final.stac-item
2023-11-27 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2023-11-27_final.stac-item
2024-03-09 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2024-03-09_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