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
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JLT_2017-09-22_final
2017-12-02 11:34:20	ga_s2bm_ard_3-2-1_50HNG_2017-12-02_final.stac-item
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KGR_2017-12-14_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JLQ_2017-12-18_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50JKP_2017-12-28_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HPK_2018-01-04_final
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50JLN_2018-01-07_final
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49JGN_2018-01-23_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49JGM_2018-03-21_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JLQ_2018-03-31_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49JGN_2018-04-03_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50JKT_2018-04-10_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49KGP_2018-05-20_final
2018-07-02 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-07-02_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JGL_2018-07-09_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_50HPK_2018-07-10_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50JMM_2018-08-02_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50JML_2018-09-21_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50HLJ_2018-10-04_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_50JLP_2018-10-07_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HPK_2018-10-11_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50JML_2018-10-11_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49KHR_2018-10-30_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50HLG_2018-11-03_final.stac-item
2018-11-06 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2018-11-06_final
2018-11-30 11:46:36	ga_s2bm_ard_3-2-1_50HMK_2018-11-30_final
2018-12-26 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2018-12-26_final
2019-01-05 12:05:24	ga_s2bm_ard_3-2-1_50JKQ_2019-01-05_final
2019-01-09 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2019-01-09_final
2019-02-18 11:46:25	ga_s2bm_ard_3-2-1_50JML_2019-02-18_final
2019-02-18 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2019-02-18_final
2019-04-06 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2019-04-06_final
2019-06-05 11:37:29	ga_s2bm_ard_3-2-1_50HPG_2019-06-05_final.stac-item
2019-06-28 11:46:34	ga_s2bm_ard_3-2-1_50JML_2019-06-28_final
2019-08-06 12:14:02	ga_s2bm_ard_3-2-1_49KHR_2019-08-06_final
2019-10-29 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2019-10-29_final
2019-11-05 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2019-11-05_final
2019-11-11 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2019-11-11_final
2019-12-11 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2019-12-11_final.stac-item
2019-12-12 11:36:32	ga_s2bm_ard_3-2-1_50HPK_2019-12-12_final
2019-12-24 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2019-12-24_final
2019-12-31 12:05:47	ga_s2bm_ard_3-2-1_50JLN_2019-12-31_final
2020-03-11 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2020-03-11_final
2020-05-30 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2020-05-30_final
2020-06-28 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2020-06-28_final
2020-07-21 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2020-07-21_final
2020-07-25 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2020-07-25_final
2020-08-08 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2020-08-08_final
2020-08-24 11:56:26	ga_s2bm_ard_3-2-1_50JML_2020-08-24_final
2020-09-16 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2020-09-16_final
2020-09-30 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2020-09-30_final
2020-12-09 11:46:24	ga_s2bm_ard_3-2-1_50JML_2020-12-09_final
2020-12-25 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2020-12-25_final
2020-12-28 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-12-28_final
2021-01-01 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2021-01-01_final
2021-01-21 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2021-01-21_final
2021-01-27 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2021-01-27_final
2021-04-11 11:54:37	ga_s2bm_ard_3-2-1_50JMT_2021-04-11_final
2021-05-01 11:55:06	ga_s2bm_ard_3-2-1_50JMR_2021-05-01_final
2021-05-08 11:46:24	ga_s2bm_ard_3-2-1_50JML_2021-05-08_final
2021-05-25 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2021-05-25_final
2021-07-07 11:46:14	ga_s2bm_ard_3-2-1_50JMM_2021-07-07_final
2021-07-30 11:55:11	ga_s2bm_ard_3-2-1_50JMR_2021-07-30_final
2021-08-03 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2021-08-03_final.stac-item
2021-09-14 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2021-09-14_final
2021-11-03 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2021-11-03_final
2021-11-07 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2021-11-07_final
2021-11-10 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2021-11-10_final
2021-11-21 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2021-11-21_final
2021-11-30 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2021-11-30_final
2021-12-24 11:46:21	ga_s2bm_ard_3-2-1_50JML_2021-12-24_final
2022-03-24 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2022-03-24_final
2022-04-06 11:56:04	ga_s2bm_ard_3-2-1_50JMM_2022-04-06_final
2022-04-19 12:06:00	ga_s2bm_ard_3-2-1_50JLM_2022-04-19_final
2022-04-30 11:36:42	ga_s2bm_ard_3-2-1_50HQJ_2022-04-30_final
2022-05-19 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2022-05-19_final
2022-06-15 11:56:14	ga_s2bm_ard_3-2-1_50JLM_2022-06-15_final
2022-08-07 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2022-08-07_final
2022-10-27 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2022-10-27_final.stac-item
2022-11-02 11:56:06	ga_s2bm_ard_3-2-1_50JMM_2022-11-02_final.stac-item
2023-01-11 11:56:04	ga_s2bm_ard_3-2-1_50JMM_2023-01-11_final.stac-item
2023-06-26 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2023-06-26_final.stac-item
2023-07-03 12:04:19	ga_s2bm_ard_3-2-1_49KHQ_2023-07-03_final.stac-item
2023-07-04 11:37:12	ga_s2bm_ard_3-2-1_50HPH_2023-07-04_final.stac-item
2023-07-10 11:56:23	ga_s2bm_ard_3-2-1_50JNL_2023-07-10_final.stac-item
2023-08-12 12:04:56	ga_s2bm_ard_3-2-1_50JMS_2023-08-12_final.stac-item
2023-08-12 12:05:35	ga_s2bm_ard_3-2-1_49JGK_2023-08-12_final.stac-item
2023-09-08 11:57:26	ga_s2bm_ard_3-2-1_50HLG_2023-09-08_final.stac-item
2023-10-01 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-10-01_final.stac-item
2023-10-05 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2023-10-05_final.stac-item
2023-10-28 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2023-10-28_final.stac-item
2023-11-04 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2023-11-04_final.stac-item
2024-01-19 12:04:56	ga_s2bm_ard_3-2-1_50JKS_2024-01-19_final.stac-item
2024-01-23 11:46:25	ga_s2bm_ard_3-2-1_50JML_2024-01-23_final.stac-item
2024-02-15 11:55:14	ga_s2bm_ard_3-2-1_50JLR_2024-02-15_final.stac-item
2024-03-16 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2024-03-16_final.stac-item
2024-03-29 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2024-03-29_final.stac-item
2024-03-30 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2024-03-30_final.stac-item
2024-04-28 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2024-04-28_final.stac-item
2024-05-05 11:56:23	ga_s2bm_ard_3-2-1_50JML_2024-05-05_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