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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HPG_2017-08-27_final.stac-item
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49KHP_2017-11-11_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49KGP_2017-11-21_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49KHR_2017-12-01_final
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_50HPG_2017-12-12_final.stac-item
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49KGP_2017-12-21_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HMJ_2017-12-25_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HPH_2018-01-04_final
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HNK_2018-01-07_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HPH_2018-02-13_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_49JGN_2018-03-24_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JGL_2018-04-10_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HPG_2018-04-21_final.stac-item
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49KGR_2018-05-23_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HNG_2018-05-24_final.stac-item
2018-06-02 12:13:22	ga_s2bm_ard_3-2-1_49JGL_2018-06-02_final
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49KHS_2018-06-12_final.stac-item
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49JGL_2018-07-29_final
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_49KHS_2018-08-08_final.stac-item
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50HLH_2018-09-14_final
2018-09-20 12:13:14	ga_s2bm_ard_3-2-1_49KHR_2018-09-20_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49JGL_2018-10-17_final
2018-11-07 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2018-11-07_final.stac-item
2018-12-09 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2018-12-09_final
2018-12-20 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2018-12-20_final
2018-12-30 11:46:34	ga_s2bm_ard_3-2-1_50HNK_2018-12-30_final
2019-02-24 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2019-02-24_final
2019-03-26 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2019-03-26_final
2019-04-12 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2019-04-12_final
2019-04-26 11:37:14	ga_s2bm_ard_3-2-1_50HPH_2019-04-26_final
2019-06-11 11:56:48	ga_s2bm_ard_3-2-1_50HLK_2019-06-11_final
2019-06-17 12:14:05	ga_s2bm_ard_3-2-1_49KGR_2019-06-17_final
2019-07-17 12:14:07	ga_s2bm_ard_3-2-1_49KGR_2019-07-17_final
2019-07-24 12:05:05	ga_s2bm_ard_3-2-1_49JHM_2019-07-24_final
2019-07-31 11:57:28	ga_s2bm_ard_3-2-1_50HMG_2019-07-31_final.stac-item
2019-08-17 11:46:47	ga_s2bm_ard_3-2-1_50HMK_2019-08-17_final
2019-09-22 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2019-09-22_final
2019-10-19 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2019-10-19_final.stac-item
2019-10-23 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2019-10-23_final
2020-02-06 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2020-02-06_final
2020-04-06 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2020-04-06_final
2020-05-02 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2020-05-02_final
2020-05-13 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2020-05-13_final
2020-05-13 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2020-05-13_final
2020-05-23 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2020-05-23_final
2020-07-12 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2020-07-12_final
2020-07-12 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-07-12_final
2020-07-21 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2020-07-21_final
2020-07-25 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2020-07-25_final
2020-07-31 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2020-07-31_final
2020-08-31 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2020-08-31_final
2020-09-09 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2020-09-09_final
2020-10-09 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2020-10-09_final
2020-10-09 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2020-10-09_final
2020-10-16 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2020-10-16_final
2020-10-29 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2020-10-29_final
2020-11-08 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2020-11-08_final
2020-12-12 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2020-12-12_final
2021-01-14 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-01-14_final
2021-02-17 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2021-02-17_final
2021-06-30 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2021-06-30_final
2021-07-06 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2021-07-06_final
2021-08-22 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-08-22_final
2021-11-03 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-11-03_final
2021-11-03 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-11-03_final
2021-11-04 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2021-11-04_final
2021-11-24 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2021-11-24_final
2022-01-22 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2022-01-22_final
2022-03-24 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2022-03-24_final
2022-04-30 11:37:00	ga_s2bm_ard_3-2-1_50HPH_2022-04-30_final
2022-05-16 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2022-05-16_final
2022-06-25 11:56:34	ga_s2bm_ard_3-2-1_50HNK_2022-06-25_final
2022-07-08 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2022-07-08_final
2022-07-11 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2022-07-11_final
2022-07-25 11:56:35	ga_s2bm_ard_3-2-1_50HNK_2022-07-25_final
2022-08-20 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2022-08-20_final
2022-08-21 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2022-08-21_final
2022-08-27 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2022-08-27_final
2022-09-13 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2022-09-13_final.stac-item
2022-11-22 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2022-11-22_final.stac-item
2023-01-24 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2023-01-24_final.stac-item
2023-01-27 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2023-01-27_final.stac-item
2023-03-12 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2023-03-12_final.stac-item
2023-04-17 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2023-04-17_final.stac-item
2023-04-27 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2023-04-27_final.stac-item
2023-05-28 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2023-05-28_final.stac-item
2023-06-17 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2023-06-17_final.stac-item
2023-07-10 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-07-10_final.stac-item
2023-08-09 11:57:15	ga_s2bm_ard_3-2-1_50HLH_2023-08-09_final.stac-item
2023-10-15 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2023-10-15_final.stac-item
2023-10-18 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2023-10-18_final.stac-item
2023-11-27 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2023-11-27_final.stac-item
2023-12-24 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2023-12-24_final.stac-item
2024-01-22 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2024-01-22_final.stac-item
2024-01-23 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2024-01-23_final.stac-item
2024-03-02 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2024-03-02_final.stac-item
2024-04-19 11:37:27	ga_s2bm_ard_3-2-1_50HPG_2024-04-19_final.stac-item
2024-04-25 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2024-04-25_final.stac-item
2024-05-01 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2024-05-01_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