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
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50JMM_2017-09-16_final
2017-09-19 11:55:56	ga_s2bm_ard_3-2-1_50JMM_2017-09-19_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49JHM_2017-09-22_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49KHS_2017-09-22_final.stac-item
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JLR_2017-09-22_final
2017-09-23 11:29:24	ga_s2bm_ard_3-2-1_51JVJ_2017-09-23_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JKP_2017-09-29_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50KMC_2017-09-29_final
2017-10-02 12:03:32	ga_s2bm_ard_3-2-1_49KHR_2017-10-02_final
2017-10-02 12:03:32	ga_s2bm_ard_3-2-1_50KKV_2017-10-02_final
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_49JGM_2017-10-02_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51JUF_2017-10-13_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HMK_2017-11-15_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51JUF_2017-12-22_final
2018-01-18 11:16:52	ga_s2bm_ard_3-2-1_51JVG_2018-01-18_final
2018-01-27 11:56:04	ga_s2bm_ard_3-2-1_50HLJ_2018-01-27_final
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HNJ_2018-02-03_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51HUE_2018-02-07_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50HMH_2018-03-08_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50HPK_2018-03-25_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JMQ_2018-04-27_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51HWD_2018-04-28_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KGR_2018-05-03_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_50KKV_2018-05-03_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50JQM_2018-05-04_final
2018-05-05 11:13:23	ga_s2bm_ard_3-2-1_51HWC_2018-05-05_final.stac-item
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HMJ_2018-05-07_final
2018-05-08 11:24:04	ga_s2bm_ard_3-2-1_51HWD_2018-05-08_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_50KKV_2018-05-10_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_50KLC_2018-05-10_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_50HQH_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_50JQM_2018-05-11_final
2018-05-13 12:13:20	ga_s2bm_ard_3-2-1_49KHQ_2018-05-13_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49JGK_2018-05-20_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HMJ_2018-05-24_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HNK_2018-05-24_final
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51HUE_2018-05-28_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51HVE_2018-05-31_final
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51JVF_2018-08-06_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HLH_2018-09-21_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JLN_2018-10-04_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51JUF_2018-10-25_final
2018-11-10 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2018-11-10_final
2018-11-14 11:26:15	ga_s2bm_ard_3-2-1_51JUF_2018-11-14_final
2019-02-05 11:36:29	ga_s2bm_ard_3-2-1_51HUE_2019-02-05_final
2019-03-13 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2019-03-13_final
2019-03-13 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2019-03-13_final
2019-04-06 11:36:14	ga_s2bm_ard_3-2-1_51JVF_2019-04-06_final
2019-07-31 11:55:54	ga_s2bm_ard_3-2-1_50JKP_2019-07-31_final
2019-08-01 11:26:22	ga_s2bm_ard_3-2-1_51JVF_2019-08-01_final
2019-08-01 11:26:34	ga_s2bm_ard_3-2-1_51HUE_2019-08-01_final
2019-08-01 11:26:41	ga_s2bm_ard_3-2-1_51HUE_2019-08-01_final
2019-09-13 11:36:11	ga_s2bm_ard_3-2-1_51JVF_2019-09-13_final
2019-10-10 11:26:19	ga_s2bm_ard_3-2-1_51JUF_2019-10-10_final
2019-11-05 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2019-11-05_final
2019-11-25 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2019-11-25_final
2019-12-02 11:36:05	ga_s2bm_ard_3-2-1_51JVF_2019-12-02_final
2019-12-09 11:26:09	ga_s2bm_ard_3-2-1_51JVF_2019-12-09_final
2019-12-28 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2019-12-28_final
2019-12-29 11:26:10	ga_s2bm_ard_3-2-1_51JVF_2019-12-29_final
2020-01-07 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2020-01-07_final
2020-01-21 11:36:17	ga_s2bm_ard_3-2-1_51HVE_2020-01-21_final
2020-02-03 11:47:00	ga_s2bm_ard_3-2-1_50HNH_2020-02-03_final
2020-03-01 11:36:17	ga_s2bm_ard_3-2-1_50JQL_2020-03-01_final
2020-04-06 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2020-04-06_final
2020-04-27 11:26:10	ga_s2bm_ard_3-2-1_51JVF_2020-04-27_final
2020-12-03 11:26:14	ga_s2bm_ard_3-2-1_51JVF_2020-12-03_final
2021-01-18 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2021-01-18_final
2021-01-31 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2021-01-31_final
2021-02-21 11:26:16	ga_s2bm_ard_3-2-1_51JUF_2021-02-21_final
2021-09-19 11:27:04	ga_s2bm_ard_3-2-1_51HTC_2021-09-19_final
2022-01-16 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2022-01-16_final
2022-02-25 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2022-02-25_final
2022-04-30 11:35:30	ga_s2bm_ard_3-2-1_50JQP_2022-04-30_final
2022-10-04 11:26:16	ga_s2bm_ard_3-2-1_51JUF_2022-10-04_final.stac-item
2023-02-23 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2023-02-23_final.stac-item
2023-02-27 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2023-02-27_final.stac-item
2023-04-01 11:52:23	ga_s2bm_ard_3-2-1_50KQG_2023-04-01_final.stac-item
2023-05-08 11:46:25	ga_s2bm_ard_3-2-1_50JNL_2023-05-08_final.stac-item
2023-05-08 11:46:29	ga_s2bm_ard_3-2-1_50JML_2023-05-08_final.stac-item
2023-05-14 12:03:48	ga_s2bm_ard_3-2-1_50KKB_2023-05-14_final.stac-item
2023-05-21 11:52:42	ga_s2bm_ard_3-2-1_50KPF_2023-05-21_final.stac-item
2023-06-07 11:43:26	ga_s2bm_ard_3-2-1_50KQC_2023-06-07_final.stac-item
2023-06-23 12:03:48	ga_s2bm_ard_3-2-1_50KKB_2023-06-23_final.stac-item
2023-07-20 11:53:44	ga_s2bm_ard_3-2-1_50KMB_2023-07-20_final.stac-item
2023-09-01 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2023-09-01_final.stac-item
2023-09-19 11:26:21	ga_s2bm_ard_3-2-1_51JUF_2023-09-19_final.stac-item
2023-09-19 11:26:33	ga_s2bm_ard_3-2-1_51HVE_2023-09-19_final.stac-item
2023-09-21 12:03:48	ga_s2bm_ard_3-2-1_50KKB_2023-09-21_final.stac-item
2023-10-04 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2023-10-04_final.stac-item
2023-10-09 11:26:30	ga_s2bm_ard_3-2-1_51HVE_2023-10-09_final.stac-item
2023-10-22 11:36:12	ga_s2bm_ard_3-2-1_51JVF_2023-10-22_final.stac-item
2023-10-31 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2023-10-31_final.stac-item
2023-11-07 11:56:02	ga_s2bm_ard_3-2-1_50JKN_2023-11-07_final.stac-item
2023-11-30 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2023-11-30_final.stac-item
2023-12-30 12:04:00	ga_s2bm_ard_3-2-1_50KKA_2023-12-30_final.stac-item
2024-01-06 11:53:30	ga_s2bm_ard_3-2-1_50KMC_2024-01-06_final.stac-item
2024-03-06 11:53:19	ga_s2bm_ard_3-2-1_50KNC_2024-03-06_final.stac-item
2024-03-23 11:47:01	ga_s2bm_ard_3-2-1_50HMJ_2024-03-23_final.stac-item
2024-03-26 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2024-03-26_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