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
2017-08-03 12:03:47	ga_s2bm_ard_3-2-1_49KHR_2017-08-03_final
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50HLK_2017-08-20_final
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_49JGK_2017-10-02_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HPG_2017-11-15_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HPJ_2017-12-15_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49KGP_2017-12-31_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HNK_2018-01-04_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50JKQ_2018-01-20_final
2018-01-27 11:56:04	ga_s2bm_ard_3-2-1_50HMJ_2018-01-27_final
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HNK_2018-02-03_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGN_2018-03-01_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50HLJ_2018-05-17_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50HMK_2018-05-17_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JLM_2018-08-25_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49KGP_2018-09-07_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HNK_2018-10-11_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50HMG_2018-11-03_final.stac-item
2018-12-07 11:36:32	ga_s2bm_ard_3-2-1_50HPK_2018-12-07_final
2018-12-16 12:05:58	ga_s2bm_ard_3-2-1_50JLM_2018-12-16_final
2019-01-12 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2019-01-12_final
2019-01-18 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-01-18_final
2019-02-01 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2019-02-01_final
2019-03-16 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2019-03-16_final
2019-03-26 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2019-03-26_final
2019-03-26 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2019-03-26_final
2019-04-09 11:46:34	ga_s2bm_ard_3-2-1_50HQK_2019-04-09_final
2019-04-09 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2019-04-09_final
2019-04-12 11:56:56	ga_s2bm_ard_3-2-1_50HMJ_2019-04-12_final
2019-04-25 12:05:27	ga_s2bm_ard_3-2-1_49JGL_2019-04-25_final
2019-04-26 11:36:45	ga_s2bm_ard_3-2-1_50HPK_2019-04-26_final
2019-05-29 11:46:42	ga_s2bm_ard_3-2-1_50HPK_2019-05-29_final
2019-06-11 11:57:17	ga_s2bm_ard_3-2-1_50HLH_2019-06-11_final
2019-07-01 11:55:55	ga_s2bm_ard_3-2-1_50JKP_2019-07-01_final
2019-08-30 11:56:40	ga_s2bm_ard_3-2-1_50HMK_2019-08-30_final
2019-09-02 12:05:00	ga_s2bm_ard_3-2-1_50JKS_2019-09-02_final
2019-10-22 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2019-10-22_final
2019-10-22 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2019-10-22_final
2019-12-05 11:46:24	ga_s2bm_ard_3-2-1_50HQK_2019-12-05_final
2019-12-25 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2019-12-25_final
2020-01-11 11:36:32	ga_s2bm_ard_3-2-1_50HPK_2020-01-11_final
2020-02-06 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2020-02-06_final
2020-02-10 11:36:29	ga_s2bm_ard_3-2-1_50HQK_2020-02-10_final
2020-02-26 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2020-02-26_final
2020-04-03 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2020-04-03_final
2020-05-22 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2020-05-22_final
2020-06-08 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2020-06-08_final
2020-06-19 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2020-06-19_final
2020-07-11 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2020-07-11_final
2020-07-22 11:46:36	ga_s2bm_ard_3-2-1_50HPK_2020-07-22_final
2020-08-27 12:06:08	ga_s2bm_ard_3-2-1_50JLM_2020-08-27_final
2020-08-28 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2020-08-28_final
2020-08-31 11:46:37	ga_s2bm_ard_3-2-1_50HPK_2020-08-31_final
2020-10-16 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2020-10-16_final
2020-11-05 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2020-11-05_final
2020-11-19 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2020-11-19_final
2020-12-05 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2020-12-05_final
2021-01-08 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2021-01-08_final
2021-01-18 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2021-01-18_final
2021-03-15 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2021-03-15_final
2021-03-28 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2021-03-28_final
2021-07-03 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2021-07-03_final
2021-07-07 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2021-07-07_final.stac-item
2021-08-05 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2021-08-05_final
2021-09-05 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2021-09-05_final
2021-09-28 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2021-09-28_final
2022-01-03 11:47:02	ga_s2bm_ard_3-2-1_50HNH_2022-01-03_final
2022-01-12 12:14:49	ga_s2bm_ard_3-2-1_49JGM_2022-01-12_final
2022-02-08 12:04:08	ga_s2bm_ard_3-2-1_49KHQ_2022-02-08_final
2022-03-03 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2022-03-03_final
2022-03-24 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2022-03-24_final
2022-05-06 11:55:42	ga_s2bm_ard_3-2-1_50JKP_2022-05-06_final
2022-05-16 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2022-05-16_final
2022-05-29 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-05-29_final
2022-06-05 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2022-06-05_final
2022-06-05 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2022-06-05_final
2022-07-25 11:56:35	ga_s2bm_ard_3-2-1_50HNK_2022-07-25_final
2022-08-17 12:04:49	ga_s2bm_ard_3-2-1_50JKT_2022-08-17_final
2022-08-18 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2022-08-18_final
2022-09-23 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2022-09-23_final.stac-item
2022-10-19 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-10-19_final.stac-item
2022-11-16 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2022-11-16_final.stac-item
2022-12-19 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2022-12-19_final.stac-item
2023-03-12 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2023-03-12_final.stac-item
2023-03-15 12:05:42	ga_s2bm_ard_3-2-1_50JLP_2023-03-15_final.stac-item
2023-03-19 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2023-03-19_final.stac-item
2023-04-04 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2023-04-04_final.stac-item
2023-04-11 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2023-04-11_final.stac-item
2023-04-28 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2023-04-28_final.stac-item
2023-05-18 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2023-05-18_final.stac-item
2023-08-26 11:47:25	ga_s2bm_ard_3-2-1_50HNG_2023-08-26_final.stac-item
2023-11-21 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2023-11-21_final.stac-item
2023-12-17 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2023-12-17_final.stac-item
2023-12-24 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2023-12-24_final.stac-item
2023-12-30 12:04:58	ga_s2bm_ard_3-2-1_50JKS_2023-12-30_final.stac-item
2024-01-06 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2024-01-06_final.stac-item
2024-01-13 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2024-01-13_final.stac-item
2024-01-29 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2024-01-29_final.stac-item
2024-02-08 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2024-02-08_final.stac-item
2024-02-12 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2024-02-12_final.stac-item
2024-02-18 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2024-02-18_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