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
2017-07-27 12:13:43	ga_s2bm_ard_3-2-1_49KHR_2017-07-27_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49KGQ_2018-06-09_final
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HLH_2018-09-01_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49KGP_2018-09-27_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49KHP_2018-10-07_final
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49KHQ_2018-10-10_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49JGM_2018-10-30_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49KGR_2018-10-30_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50HLK_2018-11-03_final
2018-11-16 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2018-11-16_final
2018-11-16 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2018-11-16_final
2018-11-23 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2018-11-23_final
2019-05-08 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2019-05-08_final
2019-06-27 12:14:21	ga_s2bm_ard_3-2-1_49KGQ_2019-06-27_final
2019-07-31 11:57:03	ga_s2bm_ard_3-2-1_50HLJ_2019-07-31_final
2019-08-07 11:47:22	ga_s2bm_ard_3-2-1_50HLH_2019-08-07_final
2019-08-26 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-08-26_final
2019-09-15 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2019-09-15_final
2019-09-19 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2019-09-19_final
2019-09-19 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2019-09-19_final
2019-09-25 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2019-09-25_final
2019-10-12 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2019-10-12_final
2019-10-15 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2019-10-15_final
2019-10-22 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2019-10-22_final
2019-12-02 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2019-12-02_final.stac-item
2019-12-11 12:04:08	ga_s2bm_ard_3-2-1_49KHQ_2019-12-11_final
2019-12-11 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2019-12-11_final
2019-12-18 11:57:15	ga_s2bm_ard_3-2-1_50HMG_2019-12-18_final.stac-item
2020-01-20 12:04:07	ga_s2bm_ard_3-2-1_49KHQ_2020-01-20_final
2020-01-27 11:56:33	ga_s2bm_ard_3-2-1_50HLK_2020-01-27_final
2020-01-30 12:05:36	ga_s2bm_ard_3-2-1_49JGJ_2020-01-30_final
2020-04-02 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2020-04-02_final
2020-04-02 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2020-04-02_final
2020-05-02 12:14:01	ga_s2bm_ard_3-2-1_49KHQ_2020-05-02_final
2020-07-21 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-07-21_final
2020-08-01 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2020-08-01_final
2020-08-07 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2020-08-07_final
2020-09-06 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2020-09-06_final
2020-09-09 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2020-09-09_final
2020-09-16 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-09-16_final
2020-09-16 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2020-09-16_final
2020-09-19 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2020-09-19_final
2020-09-26 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2020-09-26_final
2020-11-15 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2020-11-15_final
2020-11-15 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2020-11-15_final
2020-12-05 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2020-12-05_final
2021-04-14 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2021-04-14_final
2021-09-05 11:46:37	ga_s2bm_ard_3-2-1_50HMK_2021-09-05_final
2021-09-05 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2021-09-05_final
2021-09-21 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2021-09-21_final
2021-09-28 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2021-09-28_final
2021-10-01 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2021-10-01_final
2021-10-04 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2021-10-04_final
2021-10-11 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2021-10-11_final
2021-10-15 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-10-15_final
2021-10-21 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2021-10-21_final
2021-11-10 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2021-11-10_final
2021-11-20 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2021-11-20_final
2022-01-09 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2022-01-09_final
2022-01-09 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2022-01-09_final
2022-01-16 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2022-01-16_final
2022-01-26 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2022-01-26_final
2022-04-19 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2022-04-19_final
2022-05-09 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2022-05-09_final
2022-05-26 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2022-05-26_final
2022-06-05 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2022-06-05_final
2022-06-05 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2022-06-05_final
2022-07-18 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2022-07-18_final
2022-07-18 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2022-07-18_final
2022-07-25 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2022-07-25_final
2022-07-28 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2022-07-28_final
2022-08-01 11:47:25	ga_s2bm_ard_3-2-1_50HNG_2022-08-01_final.stac-item
2022-08-07 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2022-08-07_final
2022-09-10 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2022-09-10_final.stac-item
2022-10-26 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2022-10-26_final.stac-item
2022-11-08 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2022-11-08_final.stac-item
2022-12-22 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2022-12-22_final.stac-item
2023-01-01 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2023-01-01_final.stac-item
2023-01-14 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2023-01-14_final.stac-item
2023-03-05 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2023-03-05_final.stac-item
2023-03-05 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-03-05_final.stac-item
2023-03-28 12:15:03	ga_s2bm_ard_3-2-1_49JFM_2023-03-28_final.stac-item
2023-03-29 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2023-03-29_final.stac-item
2023-04-24 12:04:35	ga_s2bm_ard_3-2-1_49KHP_2023-04-24_final.stac-item
2023-05-01 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2023-05-01_final.stac-item
2023-05-18 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2023-05-18_final.stac-item
2023-05-28 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2023-05-28_final.stac-item
2023-06-27 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2023-06-27_final.stac-item
2023-07-13 12:05:34	ga_s2bm_ard_3-2-1_49JGK_2023-07-13_final.stac-item
2023-08-06 11:46:46	ga_s2bm_ard_3-2-1_50HMK_2023-08-06_final.stac-item
2023-09-08 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2023-09-08_final.stac-item
2023-09-12 11:37:30	ga_s2bm_ard_3-2-1_50HNG_2023-09-12_final.stac-item
2023-09-14 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2023-09-14_final.stac-item
2023-12-03 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2023-12-03_final.stac-item
2024-02-21 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2024-02-21_final.stac-item
2024-03-29 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2024-03-29_final.stac-item
2024-04-22 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2024-04-22_final.stac-item
2024-05-01 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2024-05-01_final.stac-item
2024-05-25 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2024-05-25_nrt.stac-item
2024-05-28 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2024-05-28_nrt.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