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
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50HNK_2017-07-31_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HNG_2017-11-15_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JLN_2017-12-18_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HNG_2017-12-25_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49KHR_2018-01-10_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49JGJ_2018-01-30_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_50HPK_2018-03-02_final
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_50HQJ_2018-03-12_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50HPJ_2018-04-11_final
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49JGM_2018-04-23_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HMH_2018-05-24_final
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_50JKN_2018-05-30_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_50HQH_2018-06-10_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HPK_2018-08-22_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50JML_2018-09-14_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49KHR_2018-10-07_final
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HMG_2018-10-31_final.stac-item
2018-11-06 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2018-11-06_final
2018-12-03 11:56:25	ga_s2bm_ard_3-2-1_50HNK_2018-12-03_final
2018-12-20 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2018-12-20_final.stac-item
2019-01-05 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2019-01-05_final
2019-01-22 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2019-01-22_final
2019-02-21 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2019-02-21_final
2019-03-13 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2019-03-13_final
2019-05-02 11:56:04	ga_s2bm_ard_3-2-1_50JLN_2019-05-02_final
2019-05-05 12:06:15	ga_s2bm_ard_3-2-1_50JLM_2019-05-05_final
2019-06-17 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2019-06-17_final
2019-08-17 11:46:58	ga_s2bm_ard_3-2-1_50HNJ_2019-08-17_final
2019-08-23 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2019-08-23_final
2019-09-25 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2019-09-25_final
2019-11-01 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2019-11-01_final
2019-11-02 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2019-11-02_final.stac-item
2019-11-22 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2019-11-22_final
2019-12-05 11:47:15	ga_s2bm_ard_3-2-1_50HNG_2019-12-05_final.stac-item
2019-12-08 11:55:50	ga_s2bm_ard_3-2-1_50JLN_2019-12-08_final
2020-03-10 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2020-03-10_final
2020-03-30 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2020-03-30_final.stac-item
2020-04-19 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2020-04-19_final
2020-05-06 11:55:39	ga_s2bm_ard_3-2-1_50JLP_2020-05-06_final
2020-05-06 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2020-05-06_final
2020-06-28 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2020-06-28_final
2020-07-18 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2020-07-18_final
2020-07-29 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2020-07-29_final
2020-08-04 11:55:45	ga_s2bm_ard_3-2-1_50JLP_2020-08-04_final
2020-08-10 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2020-08-10_final
2020-09-16 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2020-09-16_final
2020-09-20 11:46:28	ga_s2bm_ard_3-2-1_50JML_2020-09-20_final
2020-09-26 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-09-26_final
2020-09-26 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2020-09-26_final
2020-10-20 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2020-10-20_final.stac-item
2020-11-25 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2020-11-25_final
2020-12-08 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2020-12-08_final
2020-12-18 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2020-12-18_final
2020-12-29 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2020-12-29_final
2020-12-29 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2020-12-29_final.stac-item
2021-01-08 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2021-01-08_final.stac-item
2021-03-05 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2021-03-05_final
2021-04-15 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2021-04-15_final
2021-05-08 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2021-05-08_final
2021-05-14 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2021-05-14_final
2021-05-21 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2021-05-21_final
2021-07-23 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2021-07-23_final
2021-07-23 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2021-07-23_final
2021-08-12 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2021-08-12_final
2021-08-12 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2021-08-12_final
2021-08-16 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2021-08-16_final
2021-09-01 12:04:54	ga_s2bm_ard_3-2-1_50JKS_2021-09-01_final
2021-12-27 11:55:52	ga_s2bm_ard_3-2-1_50JLN_2021-12-27_final
2021-12-30 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2021-12-30_final
2022-01-13 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2022-01-13_final.stac-item
2022-01-29 12:05:45	ga_s2bm_ard_3-2-1_50JLN_2022-01-29_final
2022-02-22 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2022-02-22_final
2022-03-04 11:46:34	ga_s2bm_ard_3-2-1_50HNK_2022-03-04_final
2022-03-30 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2022-03-30_final
2022-06-05 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2022-06-05_final
2022-06-12 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2022-06-12_final
2022-07-19 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2022-07-19_final
2022-08-30 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2022-08-30_final
2022-12-02 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2022-12-02_final.stac-item
2022-12-08 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2022-12-08_final.stac-item
2023-02-03 12:04:39	ga_s2bm_ard_3-2-1_50JKT_2023-02-03_final.stac-item
2023-02-13 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2023-02-13_final.stac-item
2023-03-15 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-03-15_final.stac-item
2023-03-15 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2023-03-15_final.stac-item
2023-04-01 11:56:00	ga_s2bm_ard_3-2-1_50JLN_2023-04-01_final.stac-item
2023-04-04 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2023-04-04_final.stac-item
2023-04-11 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2023-04-11_final.stac-item
2023-04-11 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2023-04-11_final.stac-item
2023-04-15 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2023-04-15_final.stac-item
2023-06-23 12:05:45	ga_s2bm_ard_3-2-1_50JKP_2023-06-23_final.stac-item
2023-08-03 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2023-08-03_final.stac-item
2023-09-11 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2023-09-11_final.stac-item
2023-09-21 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2023-09-21_final.stac-item
2023-10-11 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2023-10-11_final.stac-item
2023-11-30 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2023-11-30_final.stac-item
2023-12-10 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2023-12-10_final.stac-item
2023-12-30 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2023-12-30_final.stac-item
2024-01-19 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2024-01-19_final.stac-item
2024-01-23 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2024-01-23_final.stac-item
2024-04-12 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2024-04-12_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