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
2017-09-03 11:36:30	ga_s2bm_ard_3-2-1_50HNG_2017-09-03_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HLG_2017-09-16_final.stac-item
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JLQ_2017-09-29_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49KHS_2017-11-01_final.stac-item
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49KHQ_2017-11-04_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50JLQ_2017-11-21_final
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HQH_2017-12-05_final
2018-01-03 12:13:12	ga_s2bm_ard_3-2-1_49KHP_2018-01-03_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49KGQ_2018-01-30_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49KHQ_2018-04-13_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HQH_2018-05-04_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JLQ_2018-05-07_final
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_49KHS_2018-05-30_final.stac-item
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50JLQ_2018-06-16_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_50JKS_2018-07-19_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49KHS_2018-07-29_final.stac-item
2018-07-29 12:04:59	ga_s2bm_ard_3-2-1_50JKQ_2018-07-29_final
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_50JLQ_2018-08-08_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49KHS_2018-10-07_final.stac-item
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HNG_2018-10-31_final.stac-item
2018-11-19 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2018-11-19_final
2018-11-29 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2018-11-29_final
2018-12-10 11:47:21	ga_s2bm_ard_3-2-1_50HLG_2018-12-10_final.stac-item
2019-01-09 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2019-01-09_final
2019-01-18 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2019-01-18_final
2019-02-24 12:04:56	ga_s2bm_ard_3-2-1_50JKS_2019-02-24_final
2019-02-24 12:05:22	ga_s2bm_ard_3-2-1_50JKQ_2019-02-24_final
2019-03-30 11:46:55	ga_s2bm_ard_3-2-1_50HQH_2019-03-30_final
2019-04-25 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2019-04-25_final
2019-06-14 12:05:31	ga_s2bm_ard_3-2-1_50JLQ_2019-06-14_final
2019-06-24 12:05:20	ga_s2bm_ard_3-2-1_50JKR_2019-06-24_final
2019-07-14 12:05:17	ga_s2bm_ard_3-2-1_49JFM_2019-07-14_final
2019-07-31 11:57:14	ga_s2bm_ard_3-2-1_50HMH_2019-07-31_final
2019-09-12 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2019-09-12_final.stac-item
2019-11-04 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2019-11-04_final
2019-11-08 11:56:42	ga_s2bm_ard_3-2-1_50HMJ_2019-11-08_final
2019-11-25 11:46:50	ga_s2bm_ard_3-2-1_50HQH_2019-11-25_final
2020-01-14 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2020-01-14_final
2020-03-30 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2020-03-30_final
2020-05-02 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2020-05-02_final
2020-05-29 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2020-05-29_final.stac-item
2020-06-21 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-06-21_final
2020-07-31 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2020-07-31_final
2020-08-27 12:04:51	ga_s2bm_ard_3-2-1_50JKS_2020-08-27_final
2020-09-03 11:55:30	ga_s2bm_ard_3-2-1_50JLQ_2020-09-03_final
2020-09-10 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2020-09-10_final.stac-item
2020-09-10 11:47:30	ga_s2bm_ard_3-2-1_50HLG_2020-09-10_final.stac-item
2020-09-16 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2020-09-16_final
2020-10-10 11:46:57	ga_s2bm_ard_3-2-1_50HQH_2020-10-10_final
2020-11-05 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2020-11-05_final
2020-12-02 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2020-12-02_final
2021-01-21 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2021-01-21_final
2021-02-17 11:47:18	ga_s2bm_ard_3-2-1_50HNG_2021-02-17_final.stac-item
2021-02-23 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2021-02-23_final
2021-03-09 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2021-03-09_final.stac-item
2021-03-25 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2021-03-25_final
2021-03-29 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2021-03-29_final
2021-06-13 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2021-06-13_final.stac-item
2021-07-27 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2021-07-27_final
2021-07-30 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2021-07-30_final.stac-item
2021-08-22 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2021-08-22_final
2021-08-25 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2021-08-25_final
2021-09-01 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2021-09-01_final.stac-item
2021-09-11 12:04:44	ga_s2bm_ard_3-2-1_50JKS_2021-09-11_final
2021-10-01 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2021-10-01_final.stac-item
2021-10-05 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-10-05_final.stac-item
2021-10-11 12:05:13	ga_s2bm_ard_3-2-1_50JKR_2021-10-11_final
2021-10-21 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2021-10-21_final.stac-item
2021-12-03 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2021-12-03_final
2022-01-06 11:57:19	ga_s2bm_ard_3-2-1_50HLG_2022-01-06_final.stac-item
2022-01-22 12:14:40	ga_s2bm_ard_3-2-1_49JFN_2022-01-22_final
2022-02-25 11:56:42	ga_s2bm_ard_3-2-1_50HLJ_2022-02-25_final
2022-03-11 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2022-03-11_final.stac-item
2022-05-16 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2022-05-16_final
2022-07-25 11:55:32	ga_s2bm_ard_3-2-1_50JLQ_2022-07-25_final
2022-08-01 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2022-08-01_final.stac-item
2022-09-29 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2022-09-29_final.stac-item
2022-09-30 11:46:53	ga_s2bm_ard_3-2-1_50HQH_2022-09-30_final.stac-item
2022-09-30 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2022-09-30_final.stac-item
2022-10-26 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2022-10-26_final.stac-item
2022-11-05 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2022-11-05_final.stac-item
2022-11-15 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2022-11-15_final.stac-item
2022-11-22 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2022-11-22_final.stac-item
2022-11-25 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2022-11-25_final.stac-item
2023-01-21 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2023-01-21_final.stac-item
2023-02-16 12:14:02	ga_s2bm_ard_3-2-1_49KHQ_2023-02-16_final.stac-item
2023-03-22 11:55:30	ga_s2bm_ard_3-2-1_50JLQ_2023-03-22_final.stac-item
2023-04-17 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2023-04-17_final.stac-item
2023-04-21 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2023-04-21_final.stac-item
2023-07-13 12:05:16	ga_s2bm_ard_3-2-1_50JKR_2023-07-13_final.stac-item
2023-08-22 12:05:30	ga_s2bm_ard_3-2-1_50JLQ_2023-08-22_final.stac-item
2023-09-01 12:05:16	ga_s2bm_ard_3-2-1_50JKR_2023-09-01_final.stac-item
2023-10-28 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2023-10-28_final.stac-item
2023-11-20 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2023-11-20_final.stac-item
2023-11-30 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2023-11-30_final.stac-item
2024-01-06 11:57:22	ga_s2bm_ard_3-2-1_50HLG_2024-01-06_final.stac-item
2024-02-22 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2024-02-22_final.stac-item
2024-03-06 11:57:17	ga_s2bm_ard_3-2-1_50HLG_2024-03-06_final.stac-item
2024-03-22 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2024-03-22_final.stac-item
2024-04-02 11:46:53	ga_s2bm_ard_3-2-1_50HQH_2024-04-02_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