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
2017-10-05 12:13:31	ga_s2bm_ard_3-2-1_49KHP_2017-10-05_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50JLR_2017-10-12_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50JLQ_2017-11-01_final
2018-05-10 12:05:05	ga_s2bm_ard_3-2-1_50JLQ_2018-05-10_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_50JKS_2018-09-27_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_50JKR_2018-09-27_final
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49KHQ_2018-10-10_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HQK_2018-10-11_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49KHQ_2018-10-17_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50JKS_2018-10-17_final
2018-11-16 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2018-11-16_final
2019-02-01 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2019-02-01_final
2019-02-14 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2019-02-14_final
2019-02-24 12:04:56	ga_s2bm_ard_3-2-1_50JKS_2019-02-24_final
2019-03-19 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2019-03-19_final
2019-09-06 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2019-09-06_final
2019-09-12 12:05:09	ga_s2bm_ard_3-2-1_50JLR_2019-09-12_final
2019-09-22 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2019-09-22_final
2019-09-22 12:04:56	ga_s2bm_ard_3-2-1_50JKS_2019-09-22_final
2019-09-22 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2019-09-22_final
2019-09-25 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2019-09-25_final
2019-10-15 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2019-10-15_final
2019-11-08 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2019-11-08_final
2019-12-11 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2019-12-11_final
2019-12-15 11:46:18	ga_s2bm_ard_3-2-1_50HPK_2019-12-15_final
2020-02-02 12:14:14	ga_s2bm_ard_3-2-1_49KHP_2020-02-02_final
2020-04-19 12:05:03	ga_s2bm_ard_3-2-1_50JLR_2020-04-19_final
2020-04-22 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2020-04-22_final
2020-05-02 12:14:01	ga_s2bm_ard_3-2-1_49KHQ_2020-05-02_final
2020-05-02 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2020-05-02_final
2020-05-22 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2020-05-22_final
2020-05-22 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2020-05-22_final
2020-09-06 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2020-09-06_final
2020-09-13 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2020-09-13_final
2020-09-19 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-09-19_final
2020-11-15 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2020-11-15_final
2020-11-25 12:05:08	ga_s2bm_ard_3-2-1_50JLR_2020-11-25_final
2020-12-12 11:55:10	ga_s2bm_ard_3-2-1_50JLR_2020-12-12_final
2021-01-21 11:55:12	ga_s2bm_ard_3-2-1_50JLR_2021-01-21_final
2021-01-31 11:55:12	ga_s2bm_ard_3-2-1_50JLR_2021-01-31_final
2021-09-08 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2021-09-08_final
2021-10-18 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2021-10-18_final
2021-11-10 12:05:08	ga_s2bm_ard_3-2-1_49JFM_2021-11-10_final
2021-11-13 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2021-11-13_final
2021-11-23 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2021-11-23_final
2021-12-03 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2021-12-03_final
2021-12-13 12:14:15	ga_s2bm_ard_3-2-1_49KHP_2021-12-13_final
2021-12-23 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2021-12-23_final
2022-02-01 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2022-02-01_final
2022-02-05 11:55:07	ga_s2bm_ard_3-2-1_50JLR_2022-02-05_final
2022-02-08 12:04:50	ga_s2bm_ard_3-2-1_50JKS_2022-02-08_final
2022-02-08 12:04:57	ga_s2bm_ard_3-2-1_50JKR_2022-02-08_final
2022-02-08 12:05:06	ga_s2bm_ard_3-2-1_50JKR_2022-02-08_final
2022-02-15 11:55:06	ga_s2bm_ard_3-2-1_50JLR_2022-02-15_final
2022-02-18 12:05:16	ga_s2bm_ard_3-2-1_50JLQ_2022-02-18_final
2022-03-03 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2022-03-03_final
2022-04-06 11:55:24	ga_s2bm_ard_3-2-1_50JLQ_2022-04-06_final
2022-05-06 11:55:08	ga_s2bm_ard_3-2-1_50JLR_2022-05-06_final
2022-06-01 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2022-06-01_final
2022-06-25 11:55:17	ga_s2bm_ard_3-2-1_50JLR_2022-06-25_final
2022-06-25 11:55:32	ga_s2bm_ard_3-2-1_50JLQ_2022-06-25_final
2022-06-28 12:05:17	ga_s2bm_ard_3-2-1_50JKR_2022-06-28_final
2022-07-05 11:55:18	ga_s2bm_ard_3-2-1_50JLR_2022-07-05_final
2022-07-08 12:05:17	ga_s2bm_ard_3-2-1_50JKR_2022-07-08_final
2022-07-15 11:55:32	ga_s2bm_ard_3-2-1_50JLQ_2022-07-15_final
2022-07-25 11:55:18	ga_s2bm_ard_3-2-1_50JLR_2022-07-25_final
2022-07-25 11:55:32	ga_s2bm_ard_3-2-1_50JLQ_2022-07-25_final
2022-08-24 11:55:13	ga_s2bm_ard_3-2-1_50JLR_2022-08-24_final
2022-09-29 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2022-09-29_final.stac-item
2022-12-02 11:55:25	ga_s2bm_ard_3-2-1_50JLQ_2022-12-02_final.stac-item
2022-12-22 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2022-12-22_final.stac-item
2023-01-07 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2023-01-07_final.stac-item
2023-01-31 11:55:10	ga_s2bm_ard_3-2-1_50JLR_2023-01-31_final.stac-item
2023-02-06 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2023-02-06_final.stac-item
2023-03-08 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2023-03-08_final.stac-item
2023-03-08 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2023-03-08_final.stac-item
2023-03-15 12:05:16	ga_s2bm_ard_3-2-1_50JKR_2023-03-15_final.stac-item
2023-03-22 11:55:15	ga_s2bm_ard_3-2-1_50JLR_2023-03-22_final.stac-item
2023-04-04 12:05:15	ga_s2bm_ard_3-2-1_50JKR_2023-04-04_final.stac-item
2023-04-21 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2023-04-21_final.stac-item
2023-04-21 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2023-04-21_final.stac-item
2023-05-04 12:04:36	ga_s2bm_ard_3-2-1_50JKT_2023-05-04_final.stac-item
2023-05-18 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2023-05-18_final.stac-item
2023-05-21 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2023-05-21_final.stac-item
2023-05-24 12:05:28	ga_s2bm_ard_3-2-1_50JLQ_2023-05-24_final.stac-item
2023-06-10 11:55:18	ga_s2bm_ard_3-2-1_50JLR_2023-06-10_final.stac-item
2023-06-30 11:55:18	ga_s2bm_ard_3-2-1_50JLR_2023-06-30_final.stac-item
2023-07-20 11:55:33	ga_s2bm_ard_3-2-1_50JLQ_2023-07-20_final.stac-item
2023-07-20 11:57:12	ga_s2bm_ard_3-2-1_50HMH_2023-07-20_final.stac-item
2023-08-09 11:55:33	ga_s2bm_ard_3-2-1_50JLQ_2023-08-09_final.stac-item
2023-09-08 11:55:32	ga_s2bm_ard_3-2-1_50JLQ_2023-09-08_final.stac-item
2023-09-11 12:05:15	ga_s2bm_ard_3-2-1_50JKR_2023-09-11_final.stac-item
2023-09-18 11:55:31	ga_s2bm_ard_3-2-1_50JLQ_2023-09-18_final.stac-item
2023-11-10 12:05:10	ga_s2bm_ard_3-2-1_50JLR_2023-11-10_final.stac-item
2023-11-17 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2023-11-17_final.stac-item
2024-01-16 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2024-01-16_final.stac-item
2024-01-23 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2024-01-23_final.stac-item
2024-02-12 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2024-02-12_final.stac-item
2024-02-21 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2024-02-21_final.stac-item
2024-03-22 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2024-03-22_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