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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50JLT_2017-08-13_final
2017-09-19 11:55:56	ga_s2bm_ard_3-2-1_50JLM_2017-09-19_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_50JLP_2017-11-11_final
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49JGN_2017-12-14_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HPH_2017-12-15_final
2018-01-21 11:35:57	ga_s2bm_ard_3-2-1_50HPK_2018-01-21_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HNH_2018-01-24_final
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49KHR_2018-02-22_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JML_2018-04-24_final
2018-05-13 12:14:07	ga_s2bm_ard_3-2-1_49JGN_2018-05-13_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50HQK_2018-05-14_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_50HPK_2018-07-10_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HQH_2018-07-23_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49JGL_2018-07-29_final
2018-12-10 11:46:56	ga_s2bm_ard_3-2-1_50HPH_2018-12-10_final
2019-01-02 11:56:23	ga_s2bm_ard_3-2-1_50JLL_2019-01-02_final
2019-01-26 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2019-01-26_final
2019-01-29 11:46:26	ga_s2bm_ard_3-2-1_50JML_2019-01-29_final
2019-02-27 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2019-02-27_final
2019-04-12 11:56:16	ga_s2bm_ard_3-2-1_50JLM_2019-04-12_final
2019-05-05 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-05-05_final
2019-05-08 12:14:21	ga_s2bm_ard_3-2-1_49KGQ_2019-05-08_final
2019-05-25 12:06:13	ga_s2bm_ard_3-2-1_50JLM_2019-05-25_final
2019-06-01 11:57:17	ga_s2bm_ard_3-2-1_50HLH_2019-06-01_final
2019-06-18 11:47:14	ga_s2bm_ard_3-2-1_50HNH_2019-06-18_final
2019-07-11 11:55:07	ga_s2bm_ard_3-2-1_50JLS_2019-07-11_final
2019-07-24 12:05:05	ga_s2bm_ard_3-2-1_50JKS_2019-07-24_final
2019-08-24 11:36:39	ga_s2bm_ard_3-2-1_50HQK_2019-08-24_final
2019-09-06 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2019-09-06_final
2019-09-15 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2019-09-15_final
2019-10-06 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2019-10-06_final.stac-item
2019-12-01 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2019-12-01_final
2019-12-18 11:55:41	ga_s2bm_ard_3-2-1_50JKP_2019-12-18_final
2020-01-13 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2020-01-13_final
2020-02-06 11:55:36	ga_s2bm_ard_3-2-1_50JLP_2020-02-06_final
2020-04-03 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2020-04-03_final
2020-04-10 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2020-04-10_final.stac-item
2020-05-23 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2020-05-23_final
2020-05-29 12:04:58	ga_s2bm_ard_3-2-1_50JKS_2020-05-29_final
2020-05-30 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2020-05-30_final
2020-06-22 11:46:36	ga_s2bm_ard_3-2-1_50HPK_2020-06-22_final
2020-07-02 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2020-07-02_final
2020-07-31 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2020-07-31_final
2020-09-29 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2020-09-29_final
2020-11-22 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2020-11-22_final
2020-11-28 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2020-11-28_final
2020-12-16 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2020-12-16_final
2020-12-25 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2020-12-25_final
2021-03-05 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2021-03-05_final
2021-03-09 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2021-03-09_final
2021-05-01 11:54:40	ga_s2bm_ard_3-2-1_50JLT_2021-05-01_final
2021-09-01 12:04:45	ga_s2bm_ard_3-2-1_50JKT_2021-09-01_final
2021-09-08 11:56:26	ga_s2bm_ard_3-2-1_50HNK_2021-09-08_final
2021-09-14 12:14:37	ga_s2bm_ard_3-2-1_49JGN_2021-09-14_final
2021-10-11 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2021-10-11_final
2021-10-15 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2021-10-15_final
2021-10-24 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2021-10-24_final
2021-11-04 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2021-11-04_final
2021-11-10 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2021-11-10_final
2022-01-03 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2022-01-03_final
2022-01-16 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2022-01-16_final
2022-01-19 12:05:33	ga_s2bm_ard_3-2-1_50JLP_2022-01-19_final
2022-03-24 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2022-03-24_final
2022-04-19 12:04:35	ga_s2bm_ard_3-2-1_49JHN_2022-04-19_final
2022-04-22 12:14:54	ga_s2bm_ard_3-2-1_49JFM_2022-04-22_final
2022-06-01 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2022-06-01_final
2022-06-05 11:54:58	ga_s2bm_ard_3-2-1_50JLS_2022-06-05_final
2022-06-12 11:46:36	ga_s2bm_ard_3-2-1_50HPK_2022-06-12_final
2022-07-01 12:14:18	ga_s2bm_ard_3-2-1_49KGQ_2022-07-01_final
2022-07-08 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2022-07-08_final
2022-10-13 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2022-10-13_final.stac-item
2022-10-26 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2022-10-26_final.stac-item
2022-10-26 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2022-10-26_final.stac-item
2022-11-08 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2022-11-08_final.stac-item
2023-01-08 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2023-01-08_final.stac-item
2023-02-13 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2023-02-13_final.stac-item
2023-03-05 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-03-05_final.stac-item
2023-03-12 11:55:50	ga_s2bm_ard_3-2-1_50JKP_2023-03-12_final.stac-item
2023-04-11 11:56:24	ga_s2bm_ard_3-2-1_50JML_2023-04-11_final.stac-item
2023-04-27 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2023-04-27_final.stac-item
2023-05-11 11:56:24	ga_s2bm_ard_3-2-1_50JML_2023-05-11_final.stac-item
2023-05-14 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2023-05-14_final.stac-item
2023-05-17 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2023-05-17_final.stac-item
2023-06-24 11:36:38	ga_s2bm_ard_3-2-1_50HQK_2023-06-24_final.stac-item
2023-06-30 11:56:09	ga_s2bm_ard_3-2-1_50JLN_2023-06-30_final.stac-item
2023-07-23 12:04:19	ga_s2bm_ard_3-2-1_49KHQ_2023-07-23_final.stac-item
2023-09-08 11:55:50	ga_s2bm_ard_3-2-1_50JKP_2023-09-08_final.stac-item
2023-10-01 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2023-10-01_final.stac-item
2023-10-04 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2023-10-04_final.stac-item
2023-10-12 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2023-10-12_final.stac-item
2023-10-24 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2023-10-24_final.stac-item
2023-12-14 11:46:24	ga_s2bm_ard_3-2-1_50JML_2023-12-14_final.stac-item
2023-12-14 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2023-12-14_final.stac-item
2024-01-16 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2024-01-16_final.stac-item
2024-02-09 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2024-02-09_final.stac-item
2024-02-11 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2024-02-11_final.stac-item
2024-02-15 11:55:14	ga_s2bm_ard_3-2-1_50JLR_2024-02-15_final.stac-item
2024-03-02 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2024-03-02_final.stac-item
2024-04-01 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2024-04-01_final.stac-item
2024-04-18 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2024-04-18_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