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
2017-07-07 12:14:42	ga_s2bm_ard_3-2-1_49JGL_2017-07-07_final
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JMR_2017-07-31_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_50HQK_2017-10-13_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HPG_2017-11-15_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50JNL_2017-12-15_final
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HMG_2018-01-07_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HNJ_2018-01-14_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49KHQ_2018-02-09_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JML_2018-02-16_final
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49KGQ_2018-03-04_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JLM_2018-03-08_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50JMN_2018-03-18_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JKP_2018-04-07_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HPK_2018-04-21_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JLL_2018-05-07_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_50HPJ_2018-05-11_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_50HPG_2018-05-21_final.stac-item
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50JMM_2018-06-16_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JLP_2018-06-29_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49KHQ_2018-07-09_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JMP_2018-08-05_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_50JLP_2018-08-18_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49KHQ_2018-08-21_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50JMM_2018-09-21_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_50JLP_2018-09-27_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49JHM_2018-10-17_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49KGQ_2018-10-17_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50JMP_2018-11-03_final
2018-11-10 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2018-11-10_final
2018-12-16 12:04:30	ga_s2bm_ard_3-2-1_50JMT_2018-12-16_final
2019-01-05 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2019-01-05_final
2019-01-09 11:46:11	ga_s2bm_ard_3-2-1_50JMM_2019-01-09_final
2019-02-04 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2019-02-04_final
2019-02-28 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2019-02-28_final
2019-03-20 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2019-03-20_final
2019-04-12 11:56:12	ga_s2bm_ard_3-2-1_50JMM_2019-04-12_final
2019-05-05 12:05:46	ga_s2bm_ard_3-2-1_50JLP_2019-05-05_final
2019-05-19 11:46:31	ga_s2bm_ard_3-2-1_50JNL_2019-05-19_final
2019-06-08 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-06-08_final
2019-08-06 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2019-08-06_final
2019-09-06 11:46:25	ga_s2bm_ard_3-2-1_50JNL_2019-09-06_final
2019-11-05 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2019-11-05_final
2019-11-08 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2019-11-08_final
2019-11-22 11:36:31	ga_s2bm_ard_3-2-1_50HQK_2019-11-22_final
2020-01-27 11:56:04	ga_s2bm_ard_3-2-1_50JLM_2020-01-27_final
2020-02-12 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2020-02-12_final
2020-04-06 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2020-04-06_final
2020-06-09 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2020-06-09_final
2020-08-27 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2020-08-27_final
2020-09-13 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2020-09-13_final
2020-10-20 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2020-10-20_final.stac-item
2020-11-05 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2020-11-05_final
2020-11-28 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2020-11-28_final
2020-12-22 11:56:04	ga_s2bm_ard_3-2-1_50JMM_2020-12-22_final
2021-01-31 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2021-01-31_final
2021-02-26 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-02-26_final
2021-03-19 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2021-03-19_final
2021-03-28 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2021-03-28_final
2021-04-17 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2021-04-17_final
2021-04-18 11:46:25	ga_s2bm_ard_3-2-1_50HQK_2021-04-18_final
2021-05-28 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2021-05-28_final
2021-06-13 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2021-06-13_final
2021-06-30 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2021-06-30_final
2021-07-26 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2021-07-26_final
2021-08-12 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2021-08-12_final
2021-11-27 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2021-11-27_final.stac-item
2022-01-16 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2022-01-16_final
2022-02-12 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2022-02-12_final
2022-02-19 11:36:32	ga_s2bm_ard_3-2-1_50HPK_2022-02-19_final
2022-02-19 11:37:00	ga_s2bm_ard_3-2-1_50HPH_2022-02-19_final
2022-02-28 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2022-02-28_final
2022-03-04 11:46:05	ga_s2bm_ard_3-2-1_50JNM_2022-03-04_final
2022-03-07 11:56:02	ga_s2bm_ard_3-2-1_50JNM_2022-03-07_final
2022-03-10 12:05:35	ga_s2bm_ard_3-2-1_50JLP_2022-03-10_final
2022-04-06 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2022-04-06_final
2022-04-30 11:37:11	ga_s2bm_ard_3-2-1_50HQG_2022-04-30_final.stac-item
2022-05-16 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2022-05-16_final
2022-05-16 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2022-05-16_final
2022-05-29 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-05-29_final
2022-06-15 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2022-06-15_final
2022-07-12 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2022-07-12_final
2022-07-15 11:55:46	ga_s2bm_ard_3-2-1_50JLP_2022-07-15_final
2022-08-04 11:55:32	ga_s2bm_ard_3-2-1_50JLQ_2022-08-04_final.stac-item
2022-08-07 12:04:52	ga_s2bm_ard_3-2-1_49JGN_2022-08-07_final
2022-09-23 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2022-09-23_final.stac-item
2022-10-19 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-10-19_final.stac-item
2022-11-02 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2022-11-02_final.stac-item
2022-11-22 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2022-11-22_final.stac-item
2023-02-10 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2023-02-10_final.stac-item
2023-03-22 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2023-03-22_final.stac-item
2023-05-08 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2023-05-08_final.stac-item
2023-07-13 12:05:34	ga_s2bm_ard_3-2-1_49JGK_2023-07-13_final.stac-item
2023-07-23 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2023-07-23_final.stac-item
2023-10-28 11:56:24	ga_s2bm_ard_3-2-1_50JML_2023-10-28_final.stac-item
2023-11-07 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2023-11-07_final.stac-item
2023-11-21 11:36:30	ga_s2bm_ard_3-2-1_50HQK_2023-11-21_final.stac-item
2023-12-17 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2023-12-17_final.stac-item
2024-01-06 11:55:53	ga_s2bm_ard_3-2-1_50JMN_2024-01-06_final.stac-item
2024-01-10 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2024-01-10_final.stac-item
2024-01-29 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2024-01-29_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