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
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49JGM_2017-07-24_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HMH_2017-10-26_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HMJ_2017-12-08_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HMJ_2017-12-15_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HPG_2017-12-15_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50JKP_2017-12-28_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50JKQ_2018-01-10_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HMK_2018-01-14_final
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50HPJ_2018-02-10_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HPK_2018-02-13_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGM_2018-02-19_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50JKT_2018-02-19_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JLP_2018-03-08_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JLR_2018-03-08_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HMJ_2018-03-18_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKS_2018-03-31_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HQK_2018-04-04_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50HLH_2018-04-07_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50JLS_2018-04-10_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_50JKR_2018-04-10_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JLR_2018-04-17_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKR_2018-04-20_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JLQ_2018-04-20_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JLR_2018-04-20_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HQJ_2018-04-21_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_50JKP_2018-07-09_final
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49JGN_2018-09-10_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49JGN_2018-10-07_final
2019-01-22 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2019-01-22_final
2019-03-20 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2019-03-20_final.stac-item
2019-04-05 12:05:41	ga_s2bm_ard_3-2-1_50JLP_2019-04-05_final
2019-04-06 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2019-04-06_final
2019-04-09 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2019-04-09_final.stac-item
2019-05-22 11:57:00	ga_s2bm_ard_3-2-1_50HMJ_2019-05-22_final
2019-06-01 11:55:06	ga_s2bm_ard_3-2-1_50JLS_2019-06-01_final
2019-06-01 11:55:21	ga_s2bm_ard_3-2-1_50JLR_2019-06-01_final
2019-06-01 11:55:36	ga_s2bm_ard_3-2-1_50JLQ_2019-06-01_final
2019-06-04 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-06-04_final
2019-06-11 11:55:45	ga_s2bm_ard_3-2-1_50JLP_2019-06-11_final
2019-06-11 11:56:18	ga_s2bm_ard_3-2-1_50JLM_2019-06-11_final
2019-07-07 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-07-07_final
2019-07-18 11:46:57	ga_s2bm_ard_3-2-1_50HPJ_2019-07-18_final
2019-08-13 12:05:44	ga_s2bm_ard_3-2-1_50JLP_2019-08-13_final
2019-08-13 12:05:47	ga_s2bm_ard_3-2-1_50JKP_2019-08-13_final
2019-08-13 12:06:11	ga_s2bm_ard_3-2-1_50JLM_2019-08-13_final
2019-08-27 11:47:32	ga_s2bm_ard_3-2-1_50HLG_2019-08-27_final.stac-item
2019-09-09 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2019-09-09_final.stac-item
2019-09-22 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2019-09-22_final.stac-item
2019-12-05 11:47:08	ga_s2bm_ard_3-2-1_50HLH_2019-12-05_final
2019-12-05 11:47:11	ga_s2bm_ard_3-2-1_50HPG_2019-12-05_final.stac-item
2019-12-15 11:47:22	ga_s2bm_ard_3-2-1_50HLG_2019-12-15_final.stac-item
2020-01-04 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2020-01-04_final
2020-04-09 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2020-04-09_final.stac-item
2020-05-19 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2020-05-19_final.stac-item
2020-05-30 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2020-05-30_final.stac-item
2020-06-21 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2020-06-21_final.stac-item
2020-07-08 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2020-07-08_final.stac-item
2020-07-08 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2020-07-08_final
2020-07-28 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-07-28_final
2020-09-16 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2020-09-16_final
2020-10-23 11:54:48	ga_s2bm_ard_3-2-1_50JLT_2020-10-23_final
2020-10-30 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2020-10-30_final
2020-11-29 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2020-11-29_final
2020-12-29 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2020-12-29_final.stac-item
2021-03-02 11:57:22	ga_s2bm_ard_3-2-1_50HLG_2021-03-02_final.stac-item
2021-03-22 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-03-22_final
2021-03-25 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2021-03-25_final.stac-item
2021-04-01 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-04-01_final
2021-04-04 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2021-04-04_final
2021-04-05 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2021-04-05_final.stac-item
2021-04-18 11:47:23	ga_s2bm_ard_3-2-1_50HLG_2021-04-18_final.stac-item
2021-05-11 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-05-11_final
2021-05-14 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2021-05-14_final
2021-05-21 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2021-05-21_final
2021-05-28 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-05-28_final.stac-item
2021-05-28 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2021-05-28_final.stac-item
2021-06-03 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2021-06-03_final
2021-06-13 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2021-06-13_final
2021-06-20 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2021-06-20_final
2021-06-20 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2021-06-20_final
2021-06-23 12:05:09	ga_s2bm_ard_3-2-1_50JLR_2021-06-23_final
2021-06-23 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2021-06-23_final
2021-06-30 11:54:45	ga_s2bm_ard_3-2-1_50JLT_2021-06-30_final
2021-06-30 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2021-06-30_final
2021-07-03 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-07-03_final
2021-07-03 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2021-07-03_final
2021-07-03 12:05:13	ga_s2bm_ard_3-2-1_50JKR_2021-07-03_final
2021-07-10 11:55:00	ga_s2bm_ard_3-2-1_50JLS_2021-07-10_final
2021-08-19 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2021-08-19_final
2021-08-22 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2021-08-22_final
2021-08-22 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2021-08-22_final
2021-10-22 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-10-22_final
2022-09-19 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2022-09-19_final.stac-item
2022-11-25 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2022-11-25_final.stac-item
2023-01-28 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2023-01-28_final.stac-item
2023-06-30 11:56:10	ga_s2bm_ard_3-2-1_50JKN_2023-06-30_final.stac-item
2023-09-14 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2023-09-14_final.stac-item
2023-10-01 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-10-01_final.stac-item
2023-11-20 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2023-11-20_final.stac-item
2023-12-27 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2023-12-27_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