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_50JKS_2017-07-04_final
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_50JKS_2017-07-14_final
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JLR_2017-09-09_final
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_50JKS_2017-10-02_final
2017-10-05 12:13:06	ga_s2bm_ard_3-2-1_49KHS_2017-10-05_final.stac-item
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49KHP_2017-12-01_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50JLT_2018-01-17_final
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49KHS_2018-02-12_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HMG_2018-02-26_final.stac-item
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49KHQ_2018-03-04_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HMJ_2018-03-18_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JLQ_2018-04-17_final
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_50JLR_2018-05-30_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JMP_2018-06-06_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50JKQ_2018-06-19_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JLT_2018-06-29_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_50JKS_2018-07-09_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_50HQG_2018-07-10_final.stac-item
2018-07-10 11:37:12	ga_s2bm_ard_3-2-1_50HPG_2018-07-10_final.stac-item
2018-07-13 11:46:48	ga_s2bm_ard_3-2-1_50HMJ_2018-07-13_final
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_50JKQ_2018-08-08_final
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49KHQ_2018-09-10_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50HMJ_2018-09-24_final
2018-11-23 11:55:35	ga_s2bm_ard_3-2-1_50JMP_2018-11-23_final
2018-11-30 11:46:08	ga_s2bm_ard_3-2-1_50JMM_2018-11-30_final
2018-11-30 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2018-11-30_final.stac-item
2018-12-06 12:04:51	ga_s2bm_ard_3-2-1_49JHM_2018-12-06_final
2018-12-06 12:05:06	ga_s2bm_ard_3-2-1_50JKR_2018-12-06_final
2019-03-20 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2019-03-20_final
2019-04-09 11:46:45	ga_s2bm_ard_3-2-1_50HMK_2019-04-09_final
2019-04-09 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2019-04-09_final
2019-04-25 12:05:33	ga_s2bm_ard_3-2-1_50JKQ_2019-04-25_final
2019-06-04 12:04:26	ga_s2bm_ard_3-2-1_49KGQ_2019-06-04_final
2019-06-11 11:55:35	ga_s2bm_ard_3-2-1_50JLQ_2019-06-11_final
2019-07-08 11:46:49	ga_s2bm_ard_3-2-1_50HMK_2019-07-08_final
2019-07-14 12:05:06	ga_s2bm_ard_3-2-1_50JKS_2019-07-14_final
2019-08-27 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2019-08-27_final
2019-09-06 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2019-09-06_final
2019-09-12 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2019-09-12_final
2019-09-22 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2019-09-22_final
2020-02-09 12:04:48	ga_s2bm_ard_3-2-1_50JLS_2020-02-09_final
2020-02-23 11:46:50	ga_s2bm_ard_3-2-1_50HQH_2020-02-23_final
2020-04-29 12:05:18	ga_s2bm_ard_3-2-1_50JLQ_2020-04-29_final
2020-05-22 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2020-05-22_final.stac-item
2020-05-23 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2020-05-23_final
2020-06-08 12:05:21	ga_s2bm_ard_3-2-1_50JKR_2020-06-08_final
2020-07-22 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2020-07-22_final
2020-07-22 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2020-07-22_final.stac-item
2020-08-08 11:37:30	ga_s2bm_ard_3-2-1_50HNG_2020-08-08_final.stac-item
2020-08-27 12:05:11	ga_s2bm_ard_3-2-1_50JLR_2020-08-27_final
2020-08-27 12:05:26	ga_s2bm_ard_3-2-1_50JLQ_2020-08-27_final
2020-09-06 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2020-09-06_final.stac-item
2020-09-09 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2020-09-09_final
2020-09-19 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2020-09-19_final
2020-10-03 11:55:31	ga_s2bm_ard_3-2-1_50JLQ_2020-10-03_final
2020-10-16 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2020-10-16_final
2020-10-17 11:36:38	ga_s2bm_ard_3-2-1_50HQK_2020-10-17_final
2020-11-26 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2020-11-26_final
2020-11-29 11:46:53	ga_s2bm_ard_3-2-1_50HQH_2020-11-29_final
2021-01-05 11:36:59	ga_s2bm_ard_3-2-1_50HPH_2021-01-05_final
2021-01-31 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2021-01-31_final
2021-02-20 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2021-02-20_final
2021-02-26 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2021-02-26_final
2021-03-09 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2021-03-09_final
2021-04-14 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2021-04-14_final
2021-07-23 12:05:10	ga_s2bm_ard_3-2-1_50JLR_2021-07-23_final
2021-08-02 12:04:49	ga_s2bm_ard_3-2-1_50JKT_2021-08-02_final
2021-08-02 12:05:10	ga_s2bm_ard_3-2-1_50JLR_2021-08-02_final
2021-09-24 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2021-09-24_final
2021-10-04 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2021-10-04_final
2021-10-15 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-10-15_final
2022-02-01 12:13:34	ga_s2bm_ard_3-2-1_49KHS_2022-02-01_final.stac-item
2022-02-15 11:55:21	ga_s2bm_ard_3-2-1_50JLQ_2022-02-15_final
2022-02-28 12:04:34	ga_s2bm_ard_3-2-1_50JLT_2022-02-28_final
2022-03-13 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2022-03-13_final
2022-06-22 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2022-06-22_final
2022-07-05 11:55:32	ga_s2bm_ard_3-2-1_50JLQ_2022-07-05_final
2022-08-27 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2022-08-27_final
2022-10-16 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2022-10-16_final.stac-item
2022-11-15 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2022-11-15_final.stac-item
2022-11-28 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2022-11-28_final.stac-item
2022-12-08 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2022-12-08_final.stac-item
2022-12-15 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2022-12-15_final.stac-item
2022-12-25 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2022-12-25_final.stac-item
2023-01-28 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2023-01-28_final.stac-item
2023-02-13 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2023-02-13_final.stac-item
2023-02-20 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2023-02-20_final.stac-item
2023-03-05 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2023-03-05_final.stac-item
2023-04-04 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2023-04-04_final.stac-item
2023-04-05 11:37:29	ga_s2bm_ard_3-2-1_50HNG_2023-04-05_final.stac-item
2023-04-21 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2023-04-21_final.stac-item
2023-05-24 12:04:58	ga_s2bm_ard_3-2-1_50JLS_2023-05-24_final.stac-item
2023-06-13 12:05:02	ga_s2bm_ard_3-2-1_50JKS_2023-06-13_final.stac-item
2023-07-23 12:05:32	ga_s2bm_ard_3-2-1_50JKQ_2023-07-23_final.stac-item
2023-08-06 11:47:15	ga_s2bm_ard_3-2-1_50HMH_2023-08-06_final.stac-item
2023-09-14 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2023-09-14_final.stac-item
2023-10-01 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2023-10-01_final.stac-item
2023-11-10 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2023-11-10_final.stac-item
2023-12-13 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2023-12-13_final.stac-item
2024-01-09 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2024-01-09_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