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
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HQH_2017-09-16_final
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50HMH_2017-10-19_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HNJ_2017-12-15_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49KHQ_2018-01-30_final
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HNJ_2018-02-03_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KHR_2018-03-14_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50HMG_2018-05-14_final.stac-item
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50JKT_2018-05-20_final
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_50JKS_2018-08-08_final
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49KHQ_2018-09-17_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JLP_2018-09-24_final
2018-11-27 11:37:13	ga_s2bm_ard_3-2-1_50HQG_2018-11-27_final.stac-item
2018-11-30 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2018-11-30_final
2018-12-23 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2018-12-23_final
2019-01-09 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2019-01-09_final
2019-01-09 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2019-01-09_final
2019-01-09 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2019-01-09_final
2019-01-19 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2019-01-19_final
2019-03-16 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2019-03-16_final
2019-03-20 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2019-03-20_final
2019-03-23 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2019-03-23_final
2019-04-09 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2019-04-09_final.stac-item
2019-04-26 11:36:41	ga_s2bm_ard_3-2-1_50HQK_2019-04-26_final
2019-04-26 11:37:28	ga_s2bm_ard_3-2-1_50HPG_2019-04-26_final.stac-item
2019-04-28 12:14:07	ga_s2bm_ard_3-2-1_49KHR_2019-04-28_final
2019-05-12 11:55:50	ga_s2bm_ard_3-2-1_50JLP_2019-05-12_final
2019-06-01 11:55:55	ga_s2bm_ard_3-2-1_50JKP_2019-06-01_final
2019-06-27 12:14:19	ga_s2bm_ard_3-2-1_49KHQ_2019-06-27_final
2019-08-03 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-08-03_final
2019-09-12 12:04:58	ga_s2bm_ard_3-2-1_50JKS_2019-09-12_final
2019-11-15 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2019-11-15_final
2019-12-01 12:04:08	ga_s2bm_ard_3-2-1_49KHQ_2019-12-01_final
2019-12-15 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2019-12-15_final
2020-01-11 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2020-01-11_final.stac-item
2020-01-14 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2020-01-14_final
2020-02-23 11:47:17	ga_s2bm_ard_3-2-1_50HNG_2020-02-23_final.stac-item
2020-02-29 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2020-02-29_final.stac-item
2020-03-11 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2020-03-11_final
2020-04-09 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2020-04-09_final
2020-04-10 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2020-04-10_final
2020-05-03 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2020-05-03_final
2020-05-03 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2020-05-03_final.stac-item
2020-05-19 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2020-05-19_final
2020-05-29 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2020-05-29_final
2020-06-15 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2020-06-15_final
2020-07-05 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2020-07-05_final
2020-07-25 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2020-07-25_final
2020-08-17 12:04:51	ga_s2bm_ard_3-2-1_50JKT_2020-08-17_final
2020-11-25 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2020-11-25_final.stac-item
2021-01-04 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2021-01-04_final
2021-03-05 12:04:56	ga_s2bm_ard_3-2-1_50JKS_2021-03-05_final
2021-03-25 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2021-03-25_final
2021-06-17 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2021-06-17_final
2021-06-20 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2021-06-20_final
2021-08-16 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2021-08-16_final.stac-item
2021-09-21 12:05:23	ga_s2bm_ard_3-2-1_50JKQ_2021-09-21_final
2021-10-05 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-10-05_final.stac-item
2021-11-10 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2021-11-10_final
2021-11-10 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2021-11-10_final
2021-12-04 11:46:25	ga_s2bm_ard_3-2-1_50HQK_2021-12-04_final
2021-12-04 11:46:36	ga_s2bm_ard_3-2-1_50HMK_2021-12-04_final
2021-12-04 11:47:02	ga_s2bm_ard_3-2-1_50HMH_2021-12-04_final
2021-12-31 11:36:25	ga_s2bm_ard_3-2-1_50HQK_2021-12-31_final
2022-02-05 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2022-02-05_final
2022-02-19 11:37:15	ga_s2bm_ard_3-2-1_50HPG_2022-02-19_final.stac-item
2022-03-04 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2022-03-04_final
2022-03-20 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2022-03-20_final
2022-04-30 11:37:20	ga_s2bm_ard_3-2-1_50HNG_2022-04-30_final.stac-item
2022-05-16 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2022-05-16_final
2022-06-02 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2022-06-02_final
2022-06-05 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2022-06-05_final
2022-06-28 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2022-06-28_final
2022-07-08 12:04:53	ga_s2bm_ard_3-2-1_49JGN_2022-07-08_final
2022-09-30 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2022-09-30_final.stac-item
2022-12-12 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2022-12-12_final.stac-item
2022-12-25 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2022-12-25_final.stac-item
2023-01-18 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2023-01-18_final.stac-item
2023-01-24 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2023-01-24_final.stac-item
2023-02-13 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2023-02-13_final.stac-item
2023-02-20 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2023-02-20_final.stac-item
2023-04-21 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2023-04-21_final.stac-item
2023-04-25 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2023-04-25_final.stac-item
2023-05-04 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2023-05-04_final.stac-item
2023-05-08 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2023-05-08_final.stac-item
2023-05-11 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2023-05-11_final.stac-item
2023-05-24 12:05:02	ga_s2bm_ard_3-2-1_49JHM_2023-05-24_final.stac-item
2023-06-03 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2023-06-03_final.stac-item
2023-06-07 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2023-06-07_final.stac-item
2023-08-23 11:36:38	ga_s2bm_ard_3-2-1_50HQK_2023-08-23_final.stac-item
2023-09-11 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2023-09-11_final.stac-item
2023-09-21 12:05:01	ga_s2bm_ard_3-2-1_50JKS_2023-09-21_final.stac-item
2023-12-14 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2023-12-14_final.stac-item
2023-12-20 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2023-12-20_final.stac-item
2023-12-24 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2023-12-24_final.stac-item
2023-12-30 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2023-12-30_final.stac-item
2024-02-09 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2024-02-09_final.stac-item
2024-03-06 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2024-03-06_final.stac-item
2024-03-09 12:04:08	ga_s2bm_ard_3-2-1_49KHQ_2024-03-09_final.stac-item
2024-03-10 11:36:29	ga_s2bm_ard_3-2-1_50HQK_2024-03-10_final.stac-item
2024-03-16 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2024-03-16_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