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
2017-07-11 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2017-07-11_final
2017-07-17 12:14:11	ga_s2bm_ard_3-2-1_49JGL_2017-07-17_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HQK_2017-09-16_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_50HPK_2017-10-13_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49JGN_2017-11-14_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HQJ_2017-11-15_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_50JKM_2017-12-01_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_50JKM_2017-12-21_final
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HMH_2018-01-07_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HMH_2018-01-14_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50JKS_2018-01-20_final
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HMJ_2018-02-03_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGK_2018-02-19_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49KHQ_2018-02-19_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HMH_2018-03-18_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50HLK_2018-04-27_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49JHM_2018-06-09_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_49JGN_2018-06-29_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_50JKS_2018-09-27_final
2018-11-30 11:46:47	ga_s2bm_ard_3-2-1_50HNJ_2018-11-30_final
2018-12-20 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2018-12-20_final
2018-12-23 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2018-12-23_final
2018-12-23 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2018-12-23_final
2018-12-27 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2018-12-27_final
2019-01-29 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-01-29_final
2019-02-07 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2019-02-07_final
2019-02-08 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2019-02-08_final
2019-02-14 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2019-02-14_final
2019-02-18 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2019-02-18_final
2019-03-20 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2019-03-20_final
2019-03-30 11:46:32	ga_s2bm_ard_3-2-1_50HQK_2019-03-30_final
2019-04-08 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2019-04-08_final
2019-04-26 11:37:24	ga_s2bm_ard_3-2-1_50HQG_2019-04-26_final.stac-item
2019-07-14 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2019-07-14_final
2019-07-18 11:47:23	ga_s2bm_ard_3-2-1_50HLH_2019-07-18_final
2019-08-07 11:47:03	ga_s2bm_ard_3-2-1_50HMJ_2019-08-07_final
2019-08-26 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2019-08-26_final
2019-09-09 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2019-09-09_final
2019-09-15 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2019-09-15_final
2019-11-05 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-11-05_final
2019-12-11 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2019-12-11_final
2019-12-12 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2019-12-12_final
2020-03-14 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2020-03-14_final
2020-04-26 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2020-04-26_final
2020-05-23 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2020-05-23_final
2020-05-29 12:04:58	ga_s2bm_ard_3-2-1_50JKS_2020-05-29_final
2020-10-06 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2020-10-06_final
2020-10-19 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2020-10-19_final
2020-11-05 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2020-11-05_final
2020-11-29 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2020-11-29_final
2021-01-08 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2021-01-08_final
2021-01-21 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2021-01-21_final
2021-02-20 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2021-02-20_final
2021-03-16 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2021-03-16_final
2021-03-28 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-03-28_final
2021-04-24 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2021-04-24_final
2021-05-01 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2021-05-01_final
2021-05-08 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2021-05-08_final
2021-05-14 12:04:46	ga_s2bm_ard_3-2-1_49JHM_2021-05-14_final
2021-10-18 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2021-10-18_final
2022-01-09 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2022-01-09_final
2022-01-29 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2022-01-29_final
2022-02-02 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2022-02-02_final
2022-02-02 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2022-02-02_final
2022-02-05 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2022-02-05_final
2022-02-19 11:36:28	ga_s2bm_ard_3-2-1_50HQK_2022-02-19_final
2022-02-19 11:37:15	ga_s2bm_ard_3-2-1_50HPG_2022-02-19_final.stac-item
2022-06-11 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2022-06-11_final
2022-07-01 12:15:05	ga_s2bm_ard_3-2-1_49JFM_2022-07-01_final
2022-07-12 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2022-07-12_final
2022-09-23 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2022-09-23_final.stac-item
2022-10-26 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2022-10-26_final.stac-item
2022-11-15 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2022-11-15_final.stac-item
2022-12-19 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2022-12-19_final.stac-item
2023-01-07 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-01-07_final.stac-item
2023-01-08 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2023-01-08_final.stac-item
2023-01-08 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2023-01-08_final.stac-item
2023-02-03 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2023-02-03_final.stac-item
2023-02-03 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2023-02-03_final.stac-item
2023-02-10 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2023-02-10_final.stac-item
2023-05-14 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2023-05-14_final.stac-item
2023-05-15 11:36:42	ga_s2bm_ard_3-2-1_50HPK_2023-05-15_final.stac-item
2023-05-18 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2023-05-18_final.stac-item
2023-06-03 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2023-06-03_final.stac-item
2023-07-23 12:06:16	ga_s2bm_ard_3-2-1_50JKM_2023-07-23_final.stac-item
2023-08-19 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2023-08-19_final.stac-item
2023-09-11 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2023-09-11_final.stac-item
2023-10-01 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2023-10-01_final.stac-item
2023-10-25 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2023-10-25_final.stac-item
2023-10-25 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2023-10-25_final.stac-item
2023-10-31 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2023-10-31_final.stac-item
2023-11-30 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2023-11-30_final.stac-item
2023-12-13 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2023-12-13_final.stac-item
2023-12-14 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2023-12-14_final.stac-item
2023-12-17 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2023-12-17_final.stac-item
2023-12-24 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2023-12-24_final.stac-item
2024-01-30 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2024-01-30_final.stac-item
2024-02-02 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2024-02-02_final.stac-item
2024-03-26 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2024-03-26_final.stac-item
2024-04-18 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2024-04-18_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