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
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JGL_2017-08-03_final
2017-08-10 11:56:06	ga_s2bm_ard_3-2-1_50HMJ_2017-08-10_final
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49JGN_2017-09-15_final
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49KHP_2017-09-15_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HMG_2017-09-16_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HPK_2017-10-06_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HMJ_2017-11-05_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HNJ_2017-11-15_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HMJ_2017-11-25_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HMH_2017-12-08_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_50HPK_2017-12-22_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JHM_2018-01-20_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JHN_2018-01-20_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HNJ_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HNK_2018-01-24_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_50HPK_2018-01-31_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HNJ_2018-02-13_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HNK_2018-04-14_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-05-03_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49JHM_2018-05-10_final
2018-05-13 12:14:07	ga_s2bm_ard_3-2-1_49KHP_2018-05-13_final
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49KHS_2018-05-23_final.stac-item
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HPK_2018-06-23_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HNK_2018-09-11_final
2018-12-23 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2018-12-23_final
2019-02-08 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2019-02-08_final
2019-03-30 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2019-03-30_final
2019-04-02 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2019-04-02_final
2019-04-09 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2019-04-09_final
2019-04-25 12:05:15	ga_s2bm_ard_3-2-1_49JFM_2019-04-25_final
2019-08-03 12:05:08	ga_s2bm_ard_3-2-1_49JGM_2019-08-03_final
2019-08-03 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-08-03_final
2019-09-19 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2019-09-19_final
2019-10-26 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2019-10-26_final
2019-12-05 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2019-12-05_final
2020-01-14 11:47:22	ga_s2bm_ard_3-2-1_50HLG_2020-01-14_final.stac-item
2020-01-24 11:46:34	ga_s2bm_ard_3-2-1_50HMK_2020-01-24_final
2020-01-24 11:46:59	ga_s2bm_ard_3-2-1_50HNH_2020-01-24_final
2020-02-06 11:56:30	ga_s2bm_ard_3-2-1_50HMK_2020-02-06_final
2020-02-16 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2020-02-16_final
2020-03-04 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2020-03-04_final.stac-item
2020-03-17 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2020-03-17_final
2020-03-30 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2020-03-30_final
2020-04-03 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2020-04-03_final
2020-04-06 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2020-04-06_final
2020-05-22 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2020-05-22_final
2020-06-05 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2020-06-05_final
2020-09-10 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2020-09-10_final
2021-01-18 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2021-01-18_final
2021-02-27 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2021-02-27_final
2021-03-16 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2021-03-16_final.stac-item
2022-01-16 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2022-01-16_final
2022-02-25 11:56:42	ga_s2bm_ard_3-2-1_50HLJ_2022-02-25_final
2022-02-25 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2022-02-25_final
2022-04-06 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2022-04-06_final
2022-04-13 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2022-04-13_final
2022-04-23 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2022-04-23_final.stac-item
2022-05-09 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2022-05-09_final
2022-06-12 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2022-06-12_final
2022-11-15 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2022-11-15_final.stac-item
2022-11-18 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-11-18_final.stac-item
2022-12-18 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2022-12-18_final.stac-item
2023-01-08 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2023-01-08_final.stac-item
2023-02-27 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2023-02-27_final.stac-item
2023-03-25 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2023-03-25_final.stac-item
2023-05-08 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2023-05-08_final.stac-item
2023-05-17 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2023-05-17_final.stac-item
2023-06-13 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2023-06-13_final.stac-item
2023-06-23 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2023-06-23_final.stac-item
2023-06-26 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2023-06-26_final.stac-item
2023-07-16 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-07-16_final.stac-item
2023-07-23 12:04:05	ga_s2bm_ard_3-2-1_49KHR_2023-07-23_final.stac-item
2023-07-23 12:05:21	ga_s2bm_ard_3-2-1_49JGL_2023-07-23_final.stac-item
2023-08-02 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-08-02_final.stac-item
2023-08-05 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2023-08-05_final.stac-item
2023-08-26 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2023-08-26_final.stac-item
2023-09-01 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2023-09-01_final.stac-item
2023-10-01 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-10-01_final.stac-item
2023-10-05 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2023-10-05_final.stac-item
2023-10-05 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2023-10-05_final.stac-item
2023-10-14 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2023-10-14_final.stac-item
2023-10-15 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2023-10-15_final.stac-item
2023-11-03 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2023-11-03_final.stac-item
2023-11-14 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2023-11-14_final.stac-item
2023-11-14 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2023-11-14_final.stac-item
2023-11-23 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2023-11-23_final.stac-item
2023-11-24 11:46:47	ga_s2bm_ard_3-2-1_50HNJ_2023-11-24_final.stac-item
2023-12-10 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2023-12-10_final.stac-item
2023-12-14 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2023-12-14_final.stac-item
2023-12-24 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2023-12-24_final.stac-item
2023-12-27 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2023-12-27_final.stac-item
2024-01-23 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2024-01-23_final.stac-item
2024-02-01 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2024-02-01_final.stac-item
2024-02-25 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2024-02-25_final.stac-item
2024-03-02 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2024-03-02_final.stac-item
2024-04-01 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2024-04-01_final.stac-item
2024-04-05 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2024-04-05_final.stac-item
2024-04-08 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2024-04-08_final.stac-item
2024-04-12 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2024-04-12_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