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_50JLQ_2017-07-04_final
2017-07-17 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2017-07-17_final
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50HMK_2017-09-09_final
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_49JGN_2017-09-12_final
2017-12-02 11:34:20	ga_s2bm_ard_3-2-1_50JPL_2017-12-02_final
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50JMN_2018-01-07_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HMH_2018-01-24_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HLH_2018-02-13_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50JPT_2018-02-26_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KHS_2018-04-03_final.stac-item
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50JMM_2018-04-14_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49KGQ_2018-04-20_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HPG_2018-05-04_final.stac-item
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49JGN_2018-05-20_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49KHQ_2018-05-20_final
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50HMH_2018-07-06_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_50HQG_2018-07-10_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50JNP_2018-07-23_final
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_49KHQ_2018-08-08_final
2018-09-08 11:37:08	ga_s2bm_ard_3-2-1_50HNG_2018-09-08_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50JQL_2018-09-11_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50HLK_2018-11-03_final
2018-11-10 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2018-11-10_final
2018-11-16 12:05:23	ga_s2bm_ard_3-2-1_50JKQ_2018-11-16_final
2019-01-29 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2019-01-29_final
2019-02-08 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2019-02-08_final
2019-02-11 11:55:02	ga_s2bm_ard_3-2-1_50JPR_2019-02-11_final
2019-03-06 12:04:46	ga_s2bm_ard_3-2-1_50JMS_2019-03-06_final
2019-03-16 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2019-03-16_final
2019-05-09 11:47:15	ga_s2bm_ard_3-2-1_50HNH_2019-05-09_final
2019-05-25 12:04:44	ga_s2bm_ard_3-2-1_50JMT_2019-05-25_final
2019-06-08 11:47:22	ga_s2bm_ard_3-2-1_50HLH_2019-06-08_final
2019-07-05 11:36:14	ga_s2bm_ard_3-2-1_50JQM_2019-07-05_final
2019-09-22 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2019-09-22_final
2019-11-25 11:46:26	ga_s2bm_ard_3-2-1_50HQK_2019-11-25_final
2020-01-04 11:46:36	ga_s2bm_ard_3-2-1_50HMK_2020-01-04_final
2020-01-11 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2020-01-11_final.stac-item
2020-01-24 11:46:34	ga_s2bm_ard_3-2-1_50HMK_2020-01-24_final
2020-05-16 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2020-05-16_final
2020-05-29 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2020-05-29_final
2020-06-15 11:55:52	ga_s2bm_ard_3-2-1_50JNN_2020-06-15_final
2020-07-12 11:46:17	ga_s2bm_ard_3-2-1_50JQL_2020-07-12_final
2020-07-28 12:05:29	ga_s2bm_ard_3-2-1_50JKQ_2020-07-28_final
2020-08-01 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2020-08-01_final
2020-09-13 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2020-09-13_final
2020-09-23 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2020-09-23_final
2020-10-30 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2020-10-30_final
2020-11-15 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2020-11-15_final
2021-01-14 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2021-01-14_final
2021-01-18 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2021-01-18_final.stac-item
2021-02-16 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2021-02-16_final
2021-03-19 11:45:53	ga_s2bm_ard_3-2-1_50JNN_2021-03-19_final
2021-05-01 11:54:29	ga_s2bm_ard_3-2-1_50JPT_2021-05-01_final
2021-05-08 11:46:03	ga_s2bm_ard_3-2-1_50JPM_2021-05-08_final
2021-05-28 11:45:25	ga_s2bm_ard_3-2-1_50JNQ_2021-05-28_final
2021-05-28 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2021-05-28_final
2021-06-13 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2021-06-13_final
2021-07-10 11:54:53	ga_s2bm_ard_3-2-1_50JNS_2021-07-10_final
2021-08-02 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2021-08-02_final
2021-09-11 12:04:50	ga_s2bm_ard_3-2-1_50JLS_2021-09-11_final
2021-09-15 11:46:50	ga_s2bm_ard_3-2-1_50HQH_2021-09-15_final
2021-10-11 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2021-10-11_final
2021-12-10 12:04:52	ga_s2bm_ard_3-2-1_50JKS_2021-12-10_final
2021-12-20 12:05:21	ga_s2bm_ard_3-2-1_50JKQ_2021-12-20_final
2022-01-19 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2022-01-19_final
2022-02-05 11:56:31	ga_s2bm_ard_3-2-1_50HMK_2022-02-05_final
2022-02-12 11:46:49	ga_s2bm_ard_3-2-1_50HMJ_2022-02-12_final
2022-02-22 11:46:03	ga_s2bm_ard_3-2-1_50JNM_2022-02-22_final
2022-03-04 11:46:12	ga_s2bm_ard_3-2-1_50JQL_2022-03-04_final
2022-03-20 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2022-03-20_final
2022-03-30 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2022-03-30_final
2022-04-09 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2022-04-09_final.stac-item
2022-04-23 11:47:11	ga_s2bm_ard_3-2-1_50HPG_2022-04-23_final.stac-item
2022-05-26 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2022-05-26_final
2022-08-08 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2022-08-08_final.stac-item
2022-08-24 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2022-08-24_final
2022-10-20 11:46:15	ga_s2bm_ard_3-2-1_50JQL_2022-10-20_final.stac-item
2022-10-27 11:36:19	ga_s2bm_ard_3-2-1_50JQL_2022-10-27_final.stac-item
2022-11-09 11:45:06	ga_s2bm_ard_3-2-1_50JPR_2022-11-09_final.stac-item
2022-11-16 11:37:26	ga_s2bm_ard_3-2-1_50HNG_2022-11-16_final.stac-item
2023-01-21 11:54:31	ga_s2bm_ard_3-2-1_50JPT_2023-01-21_final.stac-item
2023-01-21 11:55:36	ga_s2bm_ard_3-2-1_50JMP_2023-01-21_final.stac-item
2023-02-06 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2023-02-06_final.stac-item
2023-02-10 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2023-02-10_final.stac-item
2023-04-05 11:36:23	ga_s2bm_ard_3-2-1_50JQL_2023-04-05_final.stac-item
2023-04-11 11:55:22	ga_s2bm_ard_3-2-1_50JNQ_2023-04-11_final.stac-item
2023-04-21 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2023-04-21_final.stac-item
2023-05-01 11:54:54	ga_s2bm_ard_3-2-1_50JNS_2023-05-01_final.stac-item
2023-06-07 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2023-06-07_final.stac-item
2023-07-03 12:04:38	ga_s2bm_ard_3-2-1_49KHP_2023-07-03_final.stac-item
2023-08-23 11:36:33	ga_s2bm_ard_3-2-1_50JPL_2023-08-23_final.stac-item
2023-08-26 11:46:45	ga_s2bm_ard_3-2-1_50HMK_2023-08-26_final.stac-item
2023-09-28 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2023-09-28_final.stac-item
2023-10-01 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2023-10-01_final.stac-item
2023-10-11 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2023-10-11_final.stac-item
2023-12-07 11:55:46	ga_s2bm_ard_3-2-1_50JNN_2023-12-07_final.stac-item
2023-12-20 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2023-12-20_final.stac-item
2023-12-31 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2023-12-31_final.stac-item
2024-01-09 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2024-01-09_final.stac-item
2024-04-25 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2024-04-25_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