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
2017-09-12 12:03:39	ga_s2bm_ard_3-2-1_49KHR_2017-09-12_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HNG_2017-10-26_final.stac-item
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49KGP_2017-12-24_final
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49KGR_2018-01-23_final
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HNG_2018-02-03_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49KHS_2018-02-19_final.stac-item
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49KGP_2018-03-04_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49KGP_2018-04-13_final
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50HMH_2018-07-06_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HMG_2018-07-23_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HPG_2018-08-02_final.stac-item
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_49JGK_2018-08-28_final
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HPG_2018-09-01_final.stac-item
2018-11-07 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2018-11-07_final.stac-item
2018-12-06 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2018-12-06_final
2018-12-23 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2018-12-23_final
2019-01-15 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2019-01-15_final
2019-01-25 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2019-01-25_final
2019-02-18 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2019-02-18_final.stac-item
2019-04-06 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2019-04-06_final.stac-item
2019-06-11 11:56:58	ga_s2bm_ard_3-2-1_50HMJ_2019-06-11_final
2019-06-28 11:47:04	ga_s2bm_ard_3-2-1_50HMJ_2019-06-28_final
2019-07-08 11:47:04	ga_s2bm_ard_3-2-1_50HMJ_2019-07-08_final
2019-08-17 11:47:24	ga_s2bm_ard_3-2-1_50HLH_2019-08-17_final
2019-09-19 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2019-09-19_final.stac-item
2019-10-05 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2019-10-05_final
2019-10-15 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2019-10-15_final
2019-11-11 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2019-11-11_final
2019-11-21 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2019-11-21_final
2019-11-25 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2019-11-25_final.stac-item
2019-11-28 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2019-11-28_final.stac-item
2019-12-01 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2019-12-01_final.stac-item
2019-12-14 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2019-12-14_final
2019-12-21 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2019-12-21_final
2019-12-21 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2019-12-21_final
2020-01-10 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2020-01-10_final.stac-item
2020-02-20 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2020-02-20_final.stac-item
2020-03-03 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2020-03-03_final
2020-03-10 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2020-03-10_final
2020-05-29 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2020-05-29_final
2020-06-02 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2020-06-02_final
2020-06-02 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2020-06-02_final
2020-06-28 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-06-28_final
2020-07-05 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2020-07-05_final
2020-07-12 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2020-07-12_final
2020-08-10 12:13:43	ga_s2bm_ard_3-2-1_49KHS_2020-08-10_final.stac-item
2020-08-30 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2020-08-30_final
2020-09-23 11:57:23	ga_s2bm_ard_3-2-1_50HMG_2020-09-23_final.stac-item
2020-09-26 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2020-09-26_final
2020-09-29 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2020-09-29_final
2020-10-16 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2020-10-16_final
2020-10-16 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2020-10-16_final
2020-10-20 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2020-10-20_final.stac-item
2020-10-26 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2020-10-26_final
2020-10-26 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2020-10-26_final
2020-10-30 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2020-10-30_final.stac-item
2020-12-25 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2020-12-25_final
2020-12-28 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2020-12-28_final
2021-01-04 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2021-01-04_final
2021-01-07 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2021-01-07_final
2021-01-07 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2021-01-07_final
2021-01-07 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2021-01-07_final
2021-02-13 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2021-02-13_final
2021-02-16 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2021-02-16_final
2021-02-27 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2021-02-27_final.stac-item
2021-03-15 12:04:21	ga_s2bm_ard_3-2-1_49KHP_2021-03-15_final
2021-03-18 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2021-03-18_final
2021-03-18 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-03-18_final
2021-05-01 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2021-05-01_final
2021-05-21 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2021-05-21_final.stac-item
2021-05-28 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2021-05-28_final
2021-06-17 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2021-06-17_final
2021-06-23 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2021-06-23_final.stac-item
2021-07-27 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2021-07-27_final
2021-08-06 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2021-08-06_final
2021-08-12 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2021-08-12_final
2021-09-01 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2021-09-01_final
2021-10-22 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2021-10-22_final.stac-item
2021-11-10 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2021-11-10_final
2021-12-30 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2021-12-30_final
2022-02-12 11:46:55	ga_s2bm_ard_3-2-1_50HNH_2022-02-12_final
2022-04-09 12:04:38	ga_s2bm_ard_3-2-1_49JGN_2022-04-09_final
2022-05-16 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2022-05-16_final.stac-item
2022-07-02 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2022-07-02_final
2022-07-22 11:46:46	ga_s2bm_ard_3-2-1_50HMK_2022-07-22_final
2022-09-06 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2022-09-06_final.stac-item
2022-09-30 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2022-09-30_final.stac-item
2022-11-15 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2022-11-15_final.stac-item
2023-01-07 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2023-01-07_final.stac-item
2023-01-15 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2023-01-15_final.stac-item
2023-01-17 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2023-01-17_final.stac-item
2023-01-31 11:56:27	ga_s2bm_ard_3-2-1_50HNK_2023-01-31_final.stac-item
2023-02-06 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2023-02-06_final.stac-item
2023-02-16 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-02-16_final.stac-item
2023-04-24 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2023-04-24_final.stac-item
2023-05-11 11:57:26	ga_s2bm_ard_3-2-1_50HLG_2023-05-11_final.stac-item
2023-06-17 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2023-06-17_final.stac-item
2023-06-17 11:47:15	ga_s2bm_ard_3-2-1_50HMH_2023-06-17_final.stac-item
2023-08-29 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2023-08-29_final.stac-item
2023-11-27 11:57:18	ga_s2bm_ard_3-2-1_50HLG_2023-11-27_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