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
2017-07-01 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2017-07-01_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JQN_2017-08-27_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JKT_2017-09-22_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_50KKA_2017-11-24_final
2018-01-16 10:42:58	ga_s2bm_ard_3-2-1_52JGL_2018-01-16_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51KVT_2018-01-24_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51KVS_2018-04-14_final
2018-05-14 11:37:58	ga_s2bm_ard_3-2-1_51KVA_2018-05-14_final
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_51KUU_2018-05-24_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50HMJ_2018-06-03_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51KXR_2018-07-07_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_51KUS_2018-07-23_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HLH_2018-08-02_final
2018-10-16 10:52:07	ga_s2bm_ard_3-2-1_52JEN_2018-10-16_final
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HNH_2018-10-21_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49JHN_2018-10-27_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KWS_2018-10-28_final
2018-11-09 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2018-11-09_final
2018-12-07 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2018-12-07_final
2018-12-27 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2018-12-27_final
2018-12-30 11:41:30	ga_s2bm_ard_3-2-1_51LUE_2018-12-30_final
2019-01-03 11:22:21	ga_s2bm_ard_3-2-1_51KZA_2019-01-03_final
2019-01-06 11:32:42	ga_s2bm_ard_3-2-1_51KWV_2019-01-06_final
2019-01-08 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2019-01-08_final
2019-02-05 11:32:51	ga_s2bm_ard_3-2-1_51KYU_2019-02-05_final
2019-03-23 11:53:53	ga_s2bm_ard_3-2-1_50KNA_2019-03-23_final
2019-05-08 12:14:14	ga_s2bm_ard_3-2-1_49KGR_2019-05-08_final
2019-06-26 11:04:55	ga_s2bm_ard_3-2-1_52JER_2019-06-26_final
2019-07-05 11:33:03	ga_s2bm_ard_3-2-1_51KXU_2019-07-05_final
2019-08-04 11:34:07	ga_s2bm_ard_3-2-1_51KVQ_2019-08-04_final
2019-08-21 11:24:03	ga_s2bm_ard_3-2-1_51KXQ_2019-08-21_final
2019-10-26 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2019-10-26_final
2019-12-19 11:23:08	ga_s2bm_ard_3-2-1_51KXT_2019-12-19_final
2019-12-29 11:22:47	ga_s2bm_ard_3-2-1_51KZU_2019-12-29_final
2020-01-14 11:42:54	ga_s2bm_ard_3-2-1_51KUU_2020-01-14_final
2020-01-20 12:04:07	ga_s2bm_ard_3-2-1_50KKV_2020-01-20_final
2020-02-06 11:56:08	ga_s2bm_ard_3-2-1_50JKM_2020-02-06_final
2020-04-17 11:24:32	ga_s2bm_ard_3-2-1_51JYM_2020-04-17_final
2020-04-30 11:36:42	ga_s2bm_ard_3-2-1_51HTD_2020-04-30_final
2020-05-07 11:23:18	ga_s2bm_ard_3-2-1_52KBB_2020-05-07_final
2020-05-20 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2020-05-20_final
2020-06-02 11:41:57	ga_s2bm_ard_3-2-1_51LWC_2020-06-02_final
2020-07-12 11:46:28	ga_s2bm_ard_3-2-1_50JML_2020-07-12_final
2020-08-18 11:33:27	ga_s2bm_ard_3-2-1_51KXS_2020-08-18_final
2020-09-17 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2020-09-17_final
2020-09-24 11:24:07	ga_s2bm_ard_3-2-1_51KZP_2020-09-24_final
2020-09-25 10:56:06	ga_s2bm_ard_3-2-1_52JEL_2020-09-25_final
2020-09-30 11:41:00	ga_s2bm_ard_3-2-1_51LWG_2020-09-30_final.stac-item
2020-11-30 11:15:21	ga_s2bm_ard_3-2-1_52JBP_2020-11-30_final
2021-05-14 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2021-05-14_final
2021-06-28 11:14:53	ga_s2bm_ard_3-2-1_52JBR_2021-06-28_final
2021-07-26 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2021-07-26_final
2021-07-28 11:13:56	ga_s2bm_ard_3-2-1_51KZQ_2021-07-28_final
2021-09-02 11:36:02	ga_s2bm_ard_3-2-1_50JQM_2021-09-02_final
2021-10-15 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2021-10-15_final
2021-11-05 11:16:23	ga_s2bm_ard_3-2-1_51HYE_2021-11-05_final
2021-11-08 11:22:37	ga_s2bm_ard_3-2-1_52KBE_2021-11-08_final
2021-11-24 11:42:56	ga_s2bm_ard_3-2-1_51KUU_2021-11-24_final
2021-12-03 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2021-12-03_final
2021-12-08 11:23:34	ga_s2bm_ard_3-2-1_51KYR_2021-12-08_final
2021-12-13 12:13:44	ga_s2bm_ard_3-2-1_49KHR_2021-12-13_final
2022-01-28 10:55:43	ga_s2bm_ard_3-2-1_52JEM_2022-01-28_final
2022-02-28 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2022-02-28_final
2022-03-08 11:22:53	ga_s2bm_ard_3-2-1_51KYU_2022-03-08_final
2022-03-18 11:23:37	ga_s2bm_ard_3-2-1_51KYR_2022-03-18_final
2022-03-31 11:31:56	ga_s2bm_ard_3-2-1_51LWC_2022-03-31_final
2022-04-03 11:45:14	ga_s2bm_ard_3-2-1_50JQQ_2022-04-03_final
2022-04-13 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2022-04-13_final
2022-04-17 11:26:36	ga_s2bm_ard_3-2-1_51HWD_2022-04-17_final
2022-04-29 12:05:57	ga_s2bm_ard_3-2-1_50JLM_2022-04-29_final
2022-06-13 11:16:15	ga_s2bm_ard_3-2-1_51JXF_2022-06-13_final
2022-06-28 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2022-06-28_final
2022-08-08 11:37:05	ga_s2bm_ard_3-2-1_51HTC_2022-08-08_final
2022-08-17 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2022-08-17_final
2022-08-25 11:21:25	ga_s2bm_ard_3-2-1_51LZE_2022-08-25_final
2022-08-27 12:04:46	ga_s2bm_ard_3-2-1_50JKT_2022-08-27_final
2022-08-31 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2022-08-31_final
2022-09-17 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2022-09-17_final.stac-item
2022-10-26 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2022-10-26_final.stac-item
2022-12-16 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2022-12-16_final.stac-item
2022-12-23 11:23:26	ga_s2bm_ard_3-2-1_52KBA_2022-12-23_final.stac-item
2023-01-15 11:36:10	ga_s2bm_ard_3-2-1_51JUF_2023-01-15_final.stac-item
2023-02-17 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2023-02-17_final.stac-item
2023-03-26 11:33:30	ga_s2bm_ard_3-2-1_51KWS_2023-03-26_final.stac-item
2023-04-11 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2023-04-11_final.stac-item
2023-05-02 11:24:21	ga_s2bm_ard_3-2-1_51JZN_2023-05-02_final.stac-item
2023-08-23 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-08-23_final.stac-item
2023-08-27 11:14:21	ga_s2bm_ard_3-2-1_52JDT_2023-08-27_final.stac-item
2023-09-30 10:55:44	ga_s2bm_ard_3-2-1_52JGM_2023-09-30_final.stac-item
2023-10-22 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2023-10-22_final.stac-item
2023-11-04 11:43:14	ga_s2bm_ard_3-2-1_51KVT_2023-11-04_final.stac-item
2023-11-15 11:14:09	ga_s2bm_ard_3-2-1_52KBU_2023-11-15_final.stac-item
2023-11-19 10:55:58	ga_s2bm_ard_3-2-1_52JFL_2023-11-19_final.stac-item
2024-01-05 10:45:49	ga_s2bm_ard_3-2-1_52JGM_2024-01-05_final.stac-item
2024-01-27 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2024-01-27_final.stac-item
2024-01-30 11:32:12	ga_s2bm_ard_3-2-1_51KWB_2024-01-30_final.stac-item
2024-03-07 11:23:01	ga_s2bm_ard_3-2-1_51KZT_2024-03-07_final.stac-item
2024-03-20 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2024-03-20_final.stac-item
2024-03-20 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2024-03-20_final.stac-item
2024-05-09 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2024-05-09_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