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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HNK_2017-08-27_final
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_49JGN_2017-09-12_final
2017-10-15 12:14:28	ga_s2bm_ard_3-2-1_49JFM_2017-10-15_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50HLG_2017-11-08_final.stac-item
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50HMG_2017-11-08_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HPH_2018-01-11_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HPG_2018-01-24_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HNH_2018-02-13_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-02-19_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HMG_2018-02-26_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50HLK_2018-03-28_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JGN_2018-03-31_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JHM_2018-03-31_final
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HLJ_2018-04-17_final
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HLG_2018-06-03_final.stac-item
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HLH_2018-06-03_final
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49JGM_2018-07-22_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49KHS_2018-07-29_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HMG_2018-08-12_final.stac-item
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49JGJ_2018-10-17_final
2018-12-19 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2018-12-19_final
2018-12-20 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2018-12-20_final.stac-item
2018-12-30 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2018-12-30_final
2019-02-15 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2019-02-15_final.stac-item
2019-02-18 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2019-02-18_final.stac-item
2019-02-21 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2019-02-21_final
2019-04-05 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2019-04-05_final
2019-04-12 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2019-04-12_final
2019-04-12 11:57:13	ga_s2bm_ard_3-2-1_50HMH_2019-04-12_final
2019-05-09 11:47:36	ga_s2bm_ard_3-2-1_50HLG_2019-05-09_final.stac-item
2019-05-19 11:46:54	ga_s2bm_ard_3-2-1_50HMK_2019-05-19_final
2019-05-19 11:47:04	ga_s2bm_ard_3-2-1_50HMJ_2019-05-19_final
2019-05-28 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-05-28_final
2019-05-29 11:46:49	ga_s2bm_ard_3-2-1_50HMK_2019-05-29_final
2019-06-04 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-06-04_final
2019-08-27 11:47:32	ga_s2bm_ard_3-2-1_50HLG_2019-08-27_final.stac-item
2019-10-16 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-10-16_final
2019-11-24 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2019-11-24_final
2019-12-15 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2019-12-15_final.stac-item
2019-12-21 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2019-12-21_final
2020-01-14 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-01-14_final
2020-03-13 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-03-13_final
2020-03-14 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2020-03-14_final
2020-03-20 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2020-03-20_final.stac-item
2020-06-12 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2020-06-12_final
2020-06-19 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2020-06-19_final.stac-item
2020-06-25 11:57:23	ga_s2bm_ard_3-2-1_50HMG_2020-06-25_final.stac-item
2020-07-29 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2020-07-29_final.stac-item
2020-10-19 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-10-19_final
2020-10-26 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2020-10-26_final
2020-10-29 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2020-10-29_final
2020-10-30 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2020-10-30_final
2020-11-05 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-11-05_final
2020-11-08 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2020-11-08_final
2020-12-18 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2020-12-18_final
2020-12-19 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2020-12-19_final
2020-12-22 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2020-12-22_final
2021-01-08 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2021-01-08_final.stac-item
2021-01-25 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2021-01-25_final
2021-03-12 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2021-03-12_final.stac-item
2021-03-19 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-03-19_final
2021-05-24 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2021-05-24_final
2021-06-13 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-06-13_final
2021-06-20 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2021-06-20_final
2021-07-03 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2021-07-03_final
2021-07-06 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2021-07-06_final
2021-07-07 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2021-07-07_final
2021-07-07 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2021-07-07_final
2021-07-07 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-07-07_final
2021-07-17 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2021-07-17_final
2021-08-16 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2021-08-16_final
2021-08-16 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2021-08-16_final
2021-08-22 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-08-22_final
2021-09-02 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2021-09-02_final.stac-item
2021-10-01 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2021-10-01_final.stac-item
2021-11-30 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2021-11-30_final
2021-12-04 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2021-12-04_final
2021-12-13 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2021-12-13_final
2022-02-08 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2022-02-08_final
2022-02-12 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2022-02-12_final
2022-04-02 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2022-04-02_final
2022-05-13 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2022-05-13_final.stac-item
2022-10-26 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2022-10-26_final.stac-item
2022-12-05 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2022-12-05_final.stac-item
2023-01-01 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2023-01-01_final.stac-item
2023-01-11 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2023-01-11_final.stac-item
2023-01-28 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2023-01-28_final.stac-item
2023-02-03 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2023-02-03_final.stac-item
2023-02-27 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2023-02-27_final.stac-item
2023-03-08 12:13:43	ga_s2bm_ard_3-2-1_49KHS_2023-03-08_final.stac-item
2023-04-08 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-04-08_final.stac-item
2023-04-15 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2023-04-15_final.stac-item
2023-04-18 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2023-04-18_final.stac-item
2023-07-07 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2023-07-07_final.stac-item
2023-07-14 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2023-07-14_final.stac-item
2023-09-14 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2023-09-14_final.stac-item
2023-11-10 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-11-10_final.stac-item
2023-11-27 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2023-11-27_final.stac-item
2023-12-17 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2023-12-17_final.stac-item
2024-01-06 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2024-01-06_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