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
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JGM_2017-07-14_final
2017-07-25 11:34:58	ga_s2bm_ard_3-2-1_50HPJ_2017-07-25_final
2017-08-10 11:56:06	ga_s2bm_ard_3-2-1_50HMK_2017-08-10_final
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49JGM_2017-08-26_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HNJ_2017-08-27_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HPJ_2017-10-06_final
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HPJ_2017-12-05_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HNK_2017-12-08_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HPJ_2018-01-14_final
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49JGL_2018-03-24_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JHN_2018-03-31_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KHR_2018-03-31_final
2018-05-13 12:13:20	ga_s2bm_ard_3-2-1_49KHR_2018-05-13_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50HMG_2018-05-17_final.stac-item
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50HMK_2018-06-03_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50HLK_2018-06-16_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_50HPK_2018-06-30_final
2018-07-29 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2018-07-29_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_50HPJ_2018-07-30_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JHN_2018-08-18_final
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_50HPG_2018-08-19_final.stac-item
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49JGN_2018-08-21_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49JGM_2018-09-07_final
2018-11-06 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2018-11-06_final
2018-11-30 11:47:13	ga_s2bm_ard_3-2-1_50HPG_2018-11-30_final.stac-item
2018-12-09 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2018-12-09_final
2018-12-16 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2018-12-16_final
2018-12-20 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2018-12-20_final
2018-12-29 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2018-12-29_final
2019-02-04 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2019-02-04_final
2019-03-26 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-03-26_final
2019-05-06 11:36:56	ga_s2bm_ard_3-2-1_50HQJ_2019-05-06_final
2019-05-19 11:46:58	ga_s2bm_ard_3-2-1_50HPJ_2019-05-19_final
2019-08-06 12:14:34	ga_s2bm_ard_3-2-1_49KGP_2019-08-06_final
2019-08-20 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2019-08-20_final.stac-item
2019-09-16 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2019-09-16_final
2019-09-26 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2019-09-26_final
2019-09-26 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2019-09-26_final
2019-12-18 11:57:15	ga_s2bm_ard_3-2-1_50HMG_2019-12-18_final.stac-item
2020-01-13 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2020-01-13_final
2020-03-24 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2020-03-24_final.stac-item
2020-04-23 11:47:11	ga_s2bm_ard_3-2-1_50HPG_2020-04-23_final.stac-item
2020-06-12 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2020-06-12_final
2020-07-01 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2020-07-01_final
2020-07-02 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2020-07-02_final
2020-08-01 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2020-08-01_final
2020-08-08 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2020-08-08_final.stac-item
2020-11-08 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2020-11-08_final
2020-12-18 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2020-12-18_final
2021-01-08 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2021-01-08_final
2021-01-17 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2021-01-17_final
2021-01-18 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-01-18_final.stac-item
2021-04-05 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2021-04-05_final
2021-06-07 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2021-06-07_final
2021-06-30 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2021-06-30_final
2021-07-06 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2021-07-06_final
2021-07-07 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2021-07-07_final
2021-08-13 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2021-08-13_final
2021-08-22 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2021-08-22_final
2021-09-24 12:14:58	ga_s2bm_ard_3-2-1_49JFM_2021-09-24_final
2021-10-24 12:14:47	ga_s2bm_ard_3-2-1_49JGN_2021-10-24_final
2021-12-23 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2021-12-23_final
2021-12-24 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2021-12-24_final
2022-01-06 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2022-01-06_final
2022-01-20 11:37:22	ga_s2bm_ard_3-2-1_50HNG_2022-01-20_final.stac-item
2022-01-29 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2022-01-29_final
2022-02-15 11:57:03	ga_s2bm_ard_3-2-1_50HLH_2022-02-15_final
2022-02-28 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2022-02-28_final
2022-05-23 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2022-05-23_final.stac-item
2022-06-22 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2022-06-22_final
2022-06-28 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2022-06-28_final
2022-08-08 11:36:42	ga_s2bm_ard_3-2-1_50HPK_2022-08-08_final
2022-08-17 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2022-08-17_final
2022-08-31 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2022-08-31_final.stac-item
2022-09-26 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2022-09-26_final.stac-item
2022-09-29 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2022-09-29_final.stac-item
2022-11-25 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2022-11-25_final.stac-item
2022-12-12 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2022-12-12_final.stac-item
2023-01-04 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2023-01-04_final.stac-item
2023-01-25 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2023-01-25_final.stac-item
2023-02-13 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2023-02-13_final.stac-item
2023-02-27 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2023-02-27_final.stac-item
2023-03-25 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-03-25_final.stac-item
2023-04-04 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-04-04_final.stac-item
2023-04-04 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2023-04-04_final.stac-item
2023-04-07 12:15:02	ga_s2bm_ard_3-2-1_49JFM_2023-04-07_final.stac-item
2023-06-07 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2023-06-07_final.stac-item
2023-07-13 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-07-13_final.stac-item
2023-09-28 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2023-09-28_final.stac-item
2023-10-24 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2023-10-24_final.stac-item
2023-11-20 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2023-11-20_final.stac-item
2023-11-24 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2023-11-24_final.stac-item
2023-12-10 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2023-12-10_final.stac-item
2023-12-20 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2023-12-20_final.stac-item
2023-12-20 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2023-12-20_final.stac-item
2023-12-24 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2023-12-24_final.stac-item
2024-01-19 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2024-01-19_final.stac-item
2024-01-26 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2024-01-26_final.stac-item
2024-01-26 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2024-01-26_final.stac-item
2024-03-26 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2024-03-26_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