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
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49KGP_2017-09-02_final
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49KGR_2017-09-15_final
2017-10-05 12:13:31	ga_s2bm_ard_3-2-1_49KGR_2017-10-05_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49KHP_2017-11-21_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_50JLN_2017-12-01_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49JGL_2017-12-21_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49KHQ_2018-01-10_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49KHP_2018-01-30_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49KGP_2018-02-09_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HLJ_2018-02-16_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JLN_2018-03-21_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JKP_2018-04-27_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JML_2018-04-27_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HLK_2018-05-07_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49JGN_2018-05-10_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_50JKQ_2018-07-09_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HMG_2018-10-11_final.stac-item
2018-10-20 12:14:55	ga_s2bm_ard_3-2-1_49JGL_2018-10-20_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49KGP_2018-10-27_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_50HPH_2018-10-28_final
2018-11-06 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2018-11-06_final
2019-02-11 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2019-02-11_final
2019-02-14 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2019-02-14_final
2019-02-18 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2019-02-18_final
2019-04-09 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2019-04-09_final
2019-04-25 12:05:58	ga_s2bm_ard_3-2-1_50JLN_2019-04-25_final
2019-05-19 11:46:55	ga_s2bm_ard_3-2-1_50HQJ_2019-05-19_final
2019-07-08 11:46:42	ga_s2bm_ard_3-2-1_50HPK_2019-07-08_final
2019-07-11 11:56:20	ga_s2bm_ard_3-2-1_50JLM_2019-07-11_final
2019-07-31 11:56:38	ga_s2bm_ard_3-2-1_50HNK_2019-07-31_final
2019-09-06 11:46:32	ga_s2bm_ard_3-2-1_50HQK_2019-09-06_final
2019-09-06 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2019-09-06_final
2019-10-25 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2019-10-25_final
2019-11-11 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2019-11-11_final
2020-01-07 11:56:35	ga_s2bm_ard_3-2-1_50HLK_2020-01-07_final
2020-02-09 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2020-02-09_final
2020-04-03 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2020-04-03_final
2020-04-23 11:47:15	ga_s2bm_ard_3-2-1_50HNG_2020-04-23_final.stac-item
2020-04-26 11:56:06	ga_s2bm_ard_3-2-1_50JLM_2020-04-26_final
2020-05-03 11:47:14	ga_s2bm_ard_3-2-1_50HPG_2020-05-03_final.stac-item
2020-05-16 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2020-05-16_final
2020-05-22 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2020-05-22_final
2020-05-23 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2020-05-23_final
2020-06-05 11:55:48	ga_s2bm_ard_3-2-1_50JKP_2020-06-05_final
2020-07-02 11:46:36	ga_s2bm_ard_3-2-1_50HPK_2020-07-02_final
2020-07-19 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2020-07-19_final.stac-item
2020-07-29 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2020-07-29_final
2020-08-24 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2020-08-24_final
2020-08-31 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2020-08-31_final
2020-10-03 11:56:00	ga_s2bm_ard_3-2-1_50JLN_2020-10-03_final
2020-10-17 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2020-10-17_final
2020-10-20 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2020-10-20_final
2020-11-08 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2020-11-08_final
2020-11-22 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2020-11-22_final
2020-12-22 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2020-12-22_final
2021-01-04 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2021-01-04_final
2021-01-07 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2021-01-07_final
2021-01-18 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2021-01-18_final
2021-02-16 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2021-02-16_final
2021-03-22 11:56:21	ga_s2bm_ard_3-2-1_50JML_2021-03-22_final
2021-03-29 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2021-03-29_final
2021-06-07 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2021-06-07_final
2021-06-23 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2021-06-23_final
2021-07-07 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2021-07-07_final
2021-07-30 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2021-07-30_final
2021-11-04 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2021-11-04_final
2021-11-07 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2021-11-07_final
2021-11-10 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2021-11-10_final
2021-12-04 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-12-04_final
2022-01-09 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2022-01-09_final
2022-03-03 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2022-03-03_final
2022-03-10 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2022-03-10_final
2022-07-01 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2022-07-01_final
2022-07-25 11:57:28	ga_s2bm_ard_3-2-1_50HLG_2022-07-25_final.stac-item
2022-09-23 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2022-09-23_final.stac-item
2022-09-29 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2022-09-29_final.stac-item
2022-12-25 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2022-12-25_final.stac-item
2023-01-04 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2023-01-04_final.stac-item
2023-01-18 11:46:23	ga_s2bm_ard_3-2-1_50JML_2023-01-18_final.stac-item
2023-01-24 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2023-01-24_final.stac-item
2023-01-31 11:56:14	ga_s2bm_ard_3-2-1_50JLM_2023-01-31_final.stac-item
2023-02-07 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2023-02-07_final.stac-item
2023-03-15 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2023-03-15_final.stac-item
2023-04-17 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2023-04-17_final.stac-item
2023-05-11 11:57:26	ga_s2bm_ard_3-2-1_50HLG_2023-05-11_final.stac-item
2023-06-08 12:51:04	ga_s2bm_ard_3-2-1_48LWP_2023-06-08_final.stac-item
2023-06-20 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2023-06-20_final.stac-item
2023-06-27 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2023-06-27_final.stac-item
2023-07-17 11:46:57	ga_s2bm_ard_3-2-1_50HNJ_2023-07-17_final.stac-item
2023-10-05 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2023-10-05_final.stac-item
2023-10-14 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2023-10-14_final.stac-item
2023-10-28 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2023-10-28_final.stac-item
2023-11-14 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2023-11-14_final.stac-item
2023-12-01 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2023-12-01_final.stac-item
2023-12-17 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2023-12-17_final.stac-item
2024-01-29 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2024-01-29_final.stac-item
2024-02-05 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2024-02-05_final.stac-item
2024-02-28 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2024-02-28_final.stac-item
2024-04-05 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2024-04-05_final.stac-item
2024-04-08 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2024-04-08_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