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 11:49:46	ga_s2bm_ard_3-2-1_50JLT_2017-07-11_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50JMS_2017-07-24_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_50JKQ_2017-12-21_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50JNN_2018-01-04_final
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49KHP_2018-01-23_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50JMT_2018-02-06_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50JLQ_2018-02-09_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49KGQ_2018-02-19_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HQK_2018-03-05_final
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KHS_2018-03-24_final.stac-item
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HMH_2018-05-04_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50HMJ_2018-06-16_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JLQ_2018-06-26_final
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50HMJ_2018-07-06_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50JLT_2018-07-16_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49KGQ_2018-09-07_final
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49KHP_2018-09-10_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49KGQ_2018-09-27_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_50JLT_2018-10-07_final
2018-11-16 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2018-11-16_final
2018-11-16 12:04:54	ga_s2bm_ard_3-2-1_50JKS_2018-11-16_final
2018-11-30 11:46:04	ga_s2bm_ard_3-2-1_50JNM_2018-11-30_final
2018-12-06 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2018-12-06_final
2019-01-15 12:04:56	ga_s2bm_ard_3-2-1_50JKS_2019-01-15_final
2019-02-14 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2019-02-14_final
2019-02-21 11:55:49	ga_s2bm_ard_3-2-1_50JNN_2019-02-21_final
2019-02-28 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2019-02-28_final
2019-03-03 11:55:47	ga_s2bm_ard_3-2-1_50JNN_2019-03-03_final
2019-04-09 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2019-04-09_final
2019-06-24 12:04:47	ga_s2bm_ard_3-2-1_50JLT_2019-06-24_final
2019-07-08 11:46:49	ga_s2bm_ard_3-2-1_50HMK_2019-07-08_final
2019-09-09 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2019-09-09_final
2019-09-12 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2019-09-12_final
2019-09-25 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2019-09-25_final
2019-09-29 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-09-29_final
2019-10-02 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2019-10-02_final
2019-10-02 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2019-10-02_final
2019-10-09 11:54:56	ga_s2bm_ard_3-2-1_50JMS_2019-10-09_final
2019-10-09 11:55:10	ga_s2bm_ard_3-2-1_50JMR_2019-10-09_final
2019-11-05 11:46:08	ga_s2bm_ard_3-2-1_50JNM_2019-11-05_final
2019-11-15 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2019-11-15_final
2019-11-18 11:55:47	ga_s2bm_ard_3-2-1_50JNN_2019-11-18_final
2020-02-06 11:55:43	ga_s2bm_ard_3-2-1_50JNN_2020-02-06_final
2020-02-09 12:05:21	ga_s2bm_ard_3-2-1_50JKQ_2020-02-09_final
2020-03-04 11:45:51	ga_s2bm_ard_3-2-1_50JNN_2020-03-04_final
2020-03-04 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2020-03-04_final
2020-03-10 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2020-03-10_final
2020-04-03 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2020-04-03_final
2020-04-09 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2020-04-09_final
2020-04-19 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2020-04-19_final
2020-07-12 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2020-07-12_final.stac-item
2020-08-01 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2020-08-01_final
2020-08-21 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2020-08-21_final
2020-10-03 11:55:42	ga_s2bm_ard_3-2-1_50JMP_2020-10-03_final
2020-10-20 11:46:15	ga_s2bm_ard_3-2-1_50JMM_2020-10-20_final
2020-10-20 11:46:20	ga_s2bm_ard_3-2-1_50JMM_2020-10-20_final
2021-01-05 11:36:59	ga_s2bm_ard_3-2-1_50HPH_2021-01-05_final
2021-01-14 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2021-01-14_final
2021-03-02 11:57:22	ga_s2bm_ard_3-2-1_50HLG_2021-03-02_final.stac-item
2021-04-25 11:36:29	ga_s2bm_ard_3-2-1_50HQK_2021-04-25_final
2021-05-21 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2021-05-21_final
2021-06-13 12:04:47	ga_s2bm_ard_3-2-1_50JLT_2021-06-13_final
2021-08-16 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2021-08-16_final
2021-08-22 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2021-08-22_final
2021-08-29 11:55:10	ga_s2bm_ard_3-2-1_50JLR_2021-08-29_final
2021-10-11 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2021-10-11_final
2021-10-31 12:05:13	ga_s2bm_ard_3-2-1_50JKR_2021-10-31_final
2021-10-31 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2021-10-31_final
2021-11-24 11:46:09	ga_s2bm_ard_3-2-1_50JMM_2021-11-24_final
2022-01-23 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2022-01-23_final
2022-02-02 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2022-02-02_final
2022-02-08 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2022-02-08_final.stac-item
2022-02-28 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2022-02-28_final
2022-03-07 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2022-03-07_final
2022-03-10 12:05:24	ga_s2bm_ard_3-2-1_50JKQ_2022-03-10_final
2022-03-14 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2022-03-14_final
2022-05-02 12:13:34	ga_s2bm_ard_3-2-1_49KHS_2022-05-02_final.stac-item
2022-05-03 11:45:49	ga_s2bm_ard_3-2-1_50JNN_2022-05-03_final
2022-05-09 12:04:35	ga_s2bm_ard_3-2-1_50JLT_2022-05-09_final
2022-05-19 12:04:57	ga_s2bm_ard_3-2-1_50JKS_2022-05-19_final
2022-06-21 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2022-06-21_final
2022-07-08 12:04:51	ga_s2bm_ard_3-2-1_50JKT_2022-07-08_final
2022-11-05 12:05:24	ga_s2bm_ard_3-2-1_50JKQ_2022-11-05_final.stac-item
2022-11-25 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2022-11-25_final.stac-item
2022-12-25 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2022-12-25_final.stac-item
2023-02-03 12:04:57	ga_s2bm_ard_3-2-1_50JKS_2023-02-03_final.stac-item
2023-02-13 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2023-02-13_final.stac-item
2023-02-17 11:45:52	ga_s2bm_ard_3-2-1_50JNN_2023-02-17_final.stac-item
2023-03-19 11:46:44	ga_s2bm_ard_3-2-1_50HMK_2023-03-19_final.stac-item
2023-03-22 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2023-03-22_final.stac-item
2023-06-23 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2023-06-23_final.stac-item
2023-06-27 11:46:45	ga_s2bm_ard_3-2-1_50HMK_2023-06-27_final.stac-item
2023-09-08 11:56:55	ga_s2bm_ard_3-2-1_50HMJ_2023-09-08_final.stac-item
2023-09-28 11:55:30	ga_s2bm_ard_3-2-1_50JLQ_2023-09-28_final.stac-item
2024-02-28 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2024-02-28_final.stac-item
2024-03-06 11:54:35	ga_s2bm_ard_3-2-1_50JMT_2024-03-06_final.stac-item
2024-03-12 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2024-03-12_final.stac-item
2024-04-18 12:05:13	ga_s2bm_ard_3-2-1_50JKR_2024-04-18_final.stac-item
2024-04-28 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2024-04-28_final.stac-item
2024-05-18 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2024-05-18_nrt.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