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
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49KGQ_2017-09-02_final
2017-10-22 12:04:28	ga_s2bm_ard_3-2-1_50JKS_2017-10-22_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HMK_2017-11-05_final
2017-11-22 11:35:56	ga_s2bm_ard_3-2-1_50HNG_2017-11-22_final.stac-item
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49JHN_2017-12-21_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HMK_2017-12-25_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_50JKR_2017-12-31_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HPG_2018-02-13_final.stac-item
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49KHQ_2018-02-22_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HLH_2018-03-05_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50JKS_2018-03-11_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HMK_2018-03-18_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JLQ_2018-03-21_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50HPG_2018-03-25_final.stac-item
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50HNG_2018-04-11_final.stac-item
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KHS_2018-05-10_final.stac-item
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_50JLQ_2018-06-29_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HQH_2018-07-23_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49JHM_2018-07-29_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HQH_2018-08-02_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49KGQ_2018-08-18_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_50JKQ_2018-08-18_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50HMK_2018-08-25_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_50JKR_2018-09-27_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_50JLQ_2018-09-27_final
2019-02-08 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2019-02-08_final.stac-item
2019-02-14 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2019-02-14_final
2019-03-16 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2019-03-16_final
2019-03-26 12:05:18	ga_s2bm_ard_3-2-1_50JLQ_2019-03-26_final
2019-04-05 12:05:26	ga_s2bm_ard_3-2-1_50JLQ_2019-04-05_final
2019-04-25 12:05:33	ga_s2bm_ard_3-2-1_50JKQ_2019-04-25_final
2019-05-15 12:05:28	ga_s2bm_ard_3-2-1_50JLQ_2019-05-15_final
2019-05-19 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-05-19_final
2019-06-04 12:05:34	ga_s2bm_ard_3-2-1_50JKQ_2019-06-04_final
2019-07-17 12:14:30	ga_s2bm_ard_3-2-1_49KHP_2019-07-17_final
2019-07-27 12:13:48	ga_s2bm_ard_3-2-1_49KHS_2019-07-27_final.stac-item
2019-09-06 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2019-09-06_final
2019-09-29 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2019-09-29_final
2019-11-05 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2019-11-05_final
2020-02-09 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2020-02-09_final
2020-04-02 12:14:02	ga_s2bm_ard_3-2-1_49KHQ_2020-04-02_final
2020-04-12 12:14:00	ga_s2bm_ard_3-2-1_49KHQ_2020-04-12_final
2020-04-22 12:13:36	ga_s2bm_ard_3-2-1_49KHS_2020-04-22_final.stac-item
2020-05-02 12:14:01	ga_s2bm_ard_3-2-1_49KHQ_2020-05-02_final
2020-05-09 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2020-05-09_final
2020-05-09 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2020-05-09_final
2020-05-22 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2020-05-22_final
2020-05-23 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2020-05-23_final
2020-06-08 12:05:21	ga_s2bm_ard_3-2-1_50JKR_2020-06-08_final
2020-07-01 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2020-07-01_final
2020-08-24 11:55:31	ga_s2bm_ard_3-2-1_50JLQ_2020-08-24_final
2020-08-27 12:04:10	ga_s2bm_ard_3-2-1_49KHR_2020-08-27_final
2020-08-30 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2020-08-30_final
2020-11-28 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2020-11-28_final
2020-12-19 11:47:23	ga_s2bm_ard_3-2-1_50HLG_2020-12-19_final.stac-item
2021-03-09 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2021-03-09_final
2021-03-25 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2021-03-25_final.stac-item
2021-03-28 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2021-03-28_final
2021-04-17 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2021-04-17_final
2021-04-24 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2021-04-24_final
2021-05-08 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2021-05-08_final
2021-07-06 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2021-07-06_final
2021-08-02 12:04:24	ga_s2bm_ard_3-2-1_49KGQ_2021-08-02_final
2021-08-12 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2021-08-12_final
2021-09-08 11:55:24	ga_s2bm_ard_3-2-1_50JLQ_2021-09-08_final
2021-09-21 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2021-09-21_final
2021-09-28 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2021-09-28_final
2021-10-14 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2021-10-14_final.stac-item
2021-11-04 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2021-11-04_final
2021-11-30 12:05:07	ga_s2bm_ard_3-2-1_50JKR_2021-11-30_final
2021-12-30 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2021-12-30_final.stac-item
2022-02-02 11:47:22	ga_s2bm_ard_3-2-1_50HLG_2022-02-02_final.stac-item
2022-02-05 11:57:15	ga_s2bm_ard_3-2-1_50HMG_2022-02-05_final.stac-item
2022-02-25 11:55:23	ga_s2bm_ard_3-2-1_50JLQ_2022-02-25_final
2022-02-25 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2022-02-25_final
2022-04-23 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2022-04-23_final
2022-05-19 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2022-05-19_final.stac-item
2022-06-19 11:37:30	ga_s2bm_ard_3-2-1_50HNG_2022-06-19_final.stac-item
2022-07-08 12:05:17	ga_s2bm_ard_3-2-1_50JKR_2022-07-08_final
2022-07-11 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2022-07-11_final
2022-08-20 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2022-08-20_final.stac-item
2022-11-09 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2022-11-09_final.stac-item
2022-11-15 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2022-11-15_final.stac-item
2022-12-25 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2022-12-25_final.stac-item
2023-01-08 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2023-01-08_final.stac-item
2023-02-27 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2023-02-27_final.stac-item
2023-03-29 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2023-03-29_final.stac-item
2023-04-07 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2023-04-07_final.stac-item
2023-05-14 12:05:26	ga_s2bm_ard_3-2-1_50JLQ_2023-05-14_final.stac-item
2023-06-30 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2023-06-30_final.stac-item
2023-08-23 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2023-08-23_final.stac-item
2023-10-15 11:47:30	ga_s2bm_ard_3-2-1_50HLG_2023-10-15_final.stac-item
2023-10-31 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2023-10-31_final.stac-item
2023-11-24 11:47:21	ga_s2bm_ard_3-2-1_50HLG_2023-11-24_final.stac-item
2023-12-13 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2023-12-13_final.stac-item
2024-01-12 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2024-01-12_final.stac-item
2024-01-29 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2024-01-29_final.stac-item
2024-04-02 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2024-04-02_final.stac-item
2024-04-28 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2024-04-28_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