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
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_49JGK_2017-07-04_final
2017-07-07 12:14:42	ga_s2bm_ard_3-2-1_49JGL_2017-07-07_final
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JLP_2017-07-11_final
2017-09-19 11:55:56	ga_s2bm_ard_3-2-1_50HMJ_2017-09-19_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JMR_2017-09-29_final
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_50JKQ_2017-10-02_final
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_50JKT_2017-10-02_final
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_50JMR_2017-10-02_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HNK_2017-10-06_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50JNL_2017-10-06_final
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HMK_2018-01-07_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HPJ_2018-01-14_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50JKN_2018-01-20_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HNH_2018-01-24_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HMK_2018-02-06_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50JLM_2018-02-06_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50HLH_2018-03-08_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JNM_2018-04-27_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KHQ_2018-05-03_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50HQK_2018-05-14_final
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49KHQ_2018-05-23_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HMK_2018-05-24_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50JKP_2018-06-19_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50HPK_2018-07-13_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_50HPK_2018-07-30_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JNR_2018-08-05_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50JLP_2018-09-07_final
2019-02-01 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2019-02-01_final.stac-item
2019-02-18 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2019-02-18_final
2019-03-20 11:46:47	ga_s2bm_ard_3-2-1_50HMK_2019-03-20_final
2019-05-08 12:13:48	ga_s2bm_ard_3-2-1_49KHS_2019-05-08_final.stac-item
2019-06-27 12:14:35	ga_s2bm_ard_3-2-1_49KGP_2019-06-27_final
2019-11-28 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2019-11-28_final
2020-03-04 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2020-03-04_final
2020-03-07 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2020-03-07_final
2020-03-27 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2020-03-27_final
2020-04-06 11:54:55	ga_s2bm_ard_3-2-1_50JLS_2020-04-06_final
2020-04-09 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2020-04-09_final
2020-04-16 11:55:42	ga_s2bm_ard_3-2-1_50JKP_2020-04-16_final
2020-05-09 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2020-05-09_final
2020-05-22 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2020-05-22_final.stac-item
2020-06-25 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2020-06-25_final
2020-06-25 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2020-06-25_final
2020-07-28 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2020-07-28_final
2020-09-20 11:46:28	ga_s2bm_ard_3-2-1_50JML_2020-09-20_final
2020-09-20 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2020-09-20_final
2020-12-02 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2020-12-02_final
2020-12-19 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2020-12-19_final
2020-12-22 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2020-12-22_final
2021-01-01 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2021-01-01_final
2021-03-06 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2021-03-06_final
2021-04-24 12:05:59	ga_s2bm_ard_3-2-1_50JLM_2021-04-24_final
2021-06-30 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2021-06-30_final
2021-07-13 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2021-07-13_final.stac-item
2021-07-30 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2021-07-30_final
2021-08-02 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2021-08-02_final
2021-10-15 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2021-10-15_final
2021-11-04 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2021-11-04_final
2021-11-27 11:56:25	ga_s2bm_ard_3-2-1_50HNK_2021-11-27_final
2022-01-23 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2022-01-23_final
2022-01-29 12:05:58	ga_s2bm_ard_3-2-1_50JLM_2022-01-29_final
2022-02-25 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2022-02-25_final
2022-03-17 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2022-03-17_final
2022-04-16 11:55:52	ga_s2bm_ard_3-2-1_50JLN_2022-04-16_final
2022-04-30 11:37:20	ga_s2bm_ard_3-2-1_50HNG_2022-04-30_final.stac-item
2022-07-15 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2022-07-15_final
2022-09-13 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2022-09-13_final.stac-item
2022-10-16 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2022-10-16_final.stac-item
2022-12-18 12:13:38	ga_s2bm_ard_3-2-1_49KHS_2022-12-18_final.stac-item
2022-12-22 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2022-12-22_final.stac-item
2023-01-31 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2023-01-31_final.stac-item
2023-02-17 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2023-02-17_final.stac-item
2023-02-20 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2023-02-20_final.stac-item
2023-05-01 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2023-05-01_final.stac-item
2023-05-08 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2023-05-08_final.stac-item
2023-05-11 11:56:02	ga_s2bm_ard_3-2-1_50JKN_2023-05-11_final.stac-item
2023-05-14 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2023-05-14_final.stac-item
2023-06-10 11:55:51	ga_s2bm_ard_3-2-1_50JKP_2023-06-10_final.stac-item
2023-06-13 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2023-06-13_final.stac-item
2023-07-13 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-07-13_final.stac-item
2023-07-13 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2023-07-13_final.stac-item
2023-08-02 12:05:31	ga_s2bm_ard_3-2-1_50JKQ_2023-08-02_final.stac-item
2023-08-03 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2023-08-03_final.stac-item
2023-10-11 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-10-11_final.stac-item
2023-11-10 12:05:00	ga_s2bm_ard_3-2-1_50JMR_2023-11-10_final.stac-item
2023-11-23 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2023-11-23_final.stac-item
2023-11-27 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2023-11-27_final.stac-item
2023-11-30 12:05:03	ga_s2bm_ard_3-2-1_49JGL_2023-11-30_final.stac-item
2023-12-04 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2023-12-04_final.stac-item
2023-12-20 12:04:59	ga_s2bm_ard_3-2-1_50JMR_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
2024-01-09 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2024-01-09_final.stac-item
2024-01-26 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2024-01-26_final.stac-item
2024-01-29 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2024-01-29_final.stac-item
2024-02-02 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2024-02-02_final.stac-item
2024-02-22 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2024-02-22_final.stac-item
2024-02-28 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2024-02-28_final.stac-item
2024-03-06 11:56:31	ga_s2bm_ard_3-2-1_50HMK_2024-03-06_final.stac-item
2024-03-26 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2024-03-26_final.stac-item
2024-04-25 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2024-04-25_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