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
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49JGL_2017-11-11_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HMH_2018-02-06_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49KHR_2018-03-11_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49KHS_2018-03-21_final.stac-item
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49JGM_2018-04-03_final
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HPH_2018-06-03_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_50HPG_2018-07-10_final.stac-item
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49JGM_2018-09-17_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49JGK_2018-10-27_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50HMH_2018-11-03_final
2019-01-28 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2019-01-28_final
2019-02-04 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2019-02-04_final
2019-02-17 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2019-02-17_final
2019-06-14 12:05:08	ga_s2bm_ard_3-2-1_49JGM_2019-06-14_final
2019-08-17 11:47:12	ga_s2bm_ard_3-2-1_50HNH_2019-08-17_final
2019-10-09 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2019-10-09_final
2019-10-09 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2019-10-09_final.stac-item
2019-10-22 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2019-10-22_final
2019-10-29 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2019-10-29_final
2019-11-08 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-11-08_final
2020-01-30 12:04:35	ga_s2bm_ard_3-2-1_49JHN_2020-01-30_final
2020-02-19 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2020-02-19_final
2020-03-13 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-03-13_final
2020-04-13 11:46:33	ga_s2bm_ard_3-2-1_50HNK_2020-04-13_final
2020-04-16 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2020-04-16_final
2020-04-19 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2020-04-19_final
2020-04-23 11:46:47	ga_s2bm_ard_3-2-1_50HNJ_2020-04-23_final
2020-06-01 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2020-06-01_final
2020-06-02 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2020-06-02_final
2020-06-05 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2020-06-05_final
2020-06-11 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2020-06-11_final
2020-06-12 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2020-06-12_final
2020-07-12 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2020-07-12_final.stac-item
2020-07-15 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2020-07-15_final
2020-08-10 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2020-08-10_final
2020-08-10 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2020-08-10_final
2020-08-21 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2020-08-21_final.stac-item
2020-09-16 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2020-09-16_final
2020-09-26 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-09-26_final
2020-09-30 11:47:20	ga_s2bm_ard_3-2-1_50HPG_2020-09-30_final.stac-item
2020-10-06 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2020-10-06_final
2020-10-17 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2020-10-17_final.stac-item
2020-10-30 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2020-10-30_final
2020-11-19 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2020-11-19_final
2020-11-25 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2020-11-25_final
2021-02-13 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-02-13_final
2021-03-02 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2021-03-02_final
2021-03-05 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2021-03-05_final
2021-03-05 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-03-05_final
2021-03-19 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2021-03-19_final.stac-item
2021-04-01 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2021-04-01_final
2021-04-04 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2021-04-04_final
2021-05-11 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2021-05-11_final
2021-05-21 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2021-05-21_final
2021-06-04 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2021-06-04_final
2021-06-07 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2021-06-07_final
2021-06-20 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2021-06-20_final
2021-06-24 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2021-06-24_final
2021-07-07 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2021-07-07_final
2021-07-07 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2021-07-07_final
2021-07-07 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2021-07-07_final.stac-item
2021-07-23 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2021-07-23_final
2021-07-24 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2021-07-24_final
2021-08-12 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2021-08-12_final
2021-08-13 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2021-08-13_final
2021-10-31 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2021-10-31_final
2021-11-14 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2021-11-14_final.stac-item
2021-11-17 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2021-11-17_final
2021-11-17 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2021-11-17_final
2021-12-20 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2021-12-20_final
2022-01-10 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2022-01-10_final
2022-02-28 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2022-02-28_final
2022-05-10 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2022-05-10_final
2022-07-05 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2022-07-05_final
2022-07-08 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2022-07-08_final
2022-07-11 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2022-07-11_final
2022-08-17 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2022-08-17_final
2022-08-31 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2022-08-31_final
2022-09-30 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2022-09-30_final.stac-item
2022-10-07 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2022-10-07_final.stac-item
2022-10-29 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2022-10-29_final.stac-item
2022-11-22 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2022-11-22_final.stac-item
2022-11-25 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-11-25_final.stac-item
2022-12-02 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2022-12-02_final.stac-item
2022-12-19 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2022-12-19_final.stac-item
2023-01-15 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2023-01-15_final.stac-item
2023-01-18 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2023-01-18_final.stac-item
2023-01-28 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2023-01-28_final.stac-item
2023-04-15 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2023-04-15_final.stac-item
2023-04-18 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2023-04-18_final.stac-item
2023-05-01 11:56:32	ga_s2bm_ard_3-2-1_50HNK_2023-05-01_final.stac-item
2023-06-14 11:37:12	ga_s2bm_ard_3-2-1_50HPH_2023-06-14_final.stac-item
2023-08-13 11:37:27	ga_s2bm_ard_3-2-1_50HPG_2023-08-13_final.stac-item
2023-08-26 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2023-08-26_final.stac-item
2023-12-04 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2023-12-04_final.stac-item
2023-12-04 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2023-12-04_final.stac-item
2024-01-19 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2024-01-19_final.stac-item
2024-02-05 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2024-02-05_final.stac-item
2024-02-22 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2024-02-22_final.stac-item
2024-02-28 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2024-02-28_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