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 11:59:31	ga_s2bm_ard_3-2-1_50KMC_2017-07-04_final
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51JVF_2017-09-30_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50KLU_2017-10-12_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49KHP_2017-11-01_final
2018-01-05 11:07:03	ga_s2bm_ard_3-2-1_52KBC_2018-01-05_final
2018-01-22 10:57:08	ga_s2bm_ard_3-2-1_52JCN_2018-01-22_final
2018-03-06 11:11:23	ga_s2bm_ard_3-2-1_52KCA_2018-03-06_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50KPU_2018-03-08_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51KZU_2018-03-19_final
2018-04-15 11:13:22	ga_s2bm_ard_3-2-1_52JBM_2018-04-15_final
2018-04-18 11:23:34	ga_s2bm_ard_3-2-1_51KZP_2018-04-18_final
2018-07-27 11:17:54	ga_s2bm_ard_3-2-1_51KZA_2018-07-27_final
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_51KUV_2018-08-02_final
2018-08-03 11:11:32	ga_s2bm_ard_3-2-1_52KDA_2018-08-03_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51JVG_2018-09-28_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50HQJ_2018-10-01_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51KWQ_2018-10-05_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51KZA_2018-10-05_final
2018-12-03 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2018-12-03_final
2018-12-27 11:32:40	ga_s2bm_ard_3-2-1_51KWV_2018-12-27_final
2019-01-03 11:24:02	ga_s2bm_ard_3-2-1_51KZP_2019-01-03_final
2019-02-12 11:25:13	ga_s2bm_ard_3-2-1_51JWK_2019-02-12_final
2019-03-21 11:15:29	ga_s2bm_ard_3-2-1_51JXJ_2019-03-21_final
2019-04-03 11:23:38	ga_s2bm_ard_3-2-1_52KBA_2019-04-03_final
2019-05-10 11:16:05	ga_s2bm_ard_3-2-1_51JXG_2019-05-10_final
2019-05-26 11:34:19	ga_s2bm_ard_3-2-1_51KWP_2019-05-26_final
2019-08-08 11:13:00	ga_s2bm_ard_3-2-1_52KCD_2019-08-08_final
2019-08-31 11:24:18	ga_s2bm_ard_3-2-1_51KWP_2019-08-31_final
2019-10-26 11:45:47	ga_s2bm_ard_3-2-1_50JQN_2019-10-26_final
2019-11-15 11:43:35	ga_s2bm_ard_3-2-1_51KVR_2019-11-15_final
2020-01-11 11:32:38	ga_s2bm_ard_3-2-1_51KWV_2020-01-11_final
2020-01-18 11:22:03	ga_s2bm_ard_3-2-1_51KZB_2020-01-18_final
2020-02-04 11:14:02	ga_s2bm_ard_3-2-1_51KZP_2020-02-04_final
2020-02-07 11:23:58	ga_s2bm_ard_3-2-1_52KBU_2020-02-07_final
2020-03-05 11:13:31	ga_s2bm_ard_3-2-1_52KDA_2020-03-05_final
2020-04-13 11:42:18	ga_s2bm_ard_3-2-1_51KWA_2020-04-13_final
2020-05-24 11:14:33	ga_s2bm_ard_3-2-1_52JBS_2020-05-24_final
2020-06-12 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2020-06-12_final
2020-07-20 11:05:28	ga_s2bm_ard_3-2-1_52JFN_2020-07-20_final
2020-08-31 11:42:16	ga_s2bm_ard_3-2-1_51KVB_2020-08-31_final
2020-09-07 11:33:10	ga_s2bm_ard_3-2-1_51KVU_2020-09-07_final
2020-09-07 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2020-09-07_final
2021-01-31 11:53:30	ga_s2bm_ard_3-2-1_50KMC_2021-01-31_final
2021-02-21 11:23:19	ga_s2bm_ard_3-2-1_51KZS_2021-02-21_final
2021-03-13 11:22:32	ga_s2bm_ard_3-2-1_51KYA_2021-03-13_final
2021-03-20 11:15:06	ga_s2bm_ard_3-2-1_52JBQ_2021-03-20_final
2021-04-08 11:43:19	ga_s2bm_ard_3-2-1_50KQC_2021-04-08_final
2021-04-11 11:53:21	ga_s2bm_ard_3-2-1_50KNC_2021-04-11_final
2021-04-19 11:15:17	ga_s2bm_ard_3-2-1_52JBP_2021-04-19_final
2021-07-14 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2021-07-14_final
2021-08-30 11:24:16	ga_s2bm_ard_3-2-1_52JBT_2021-08-30_final
2021-09-12 11:34:51	ga_s2bm_ard_3-2-1_51JWL_2021-09-12_final
2021-11-13 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2021-11-13_final
2022-01-08 10:55:38	ga_s2bm_ard_3-2-1_52JGM_2022-01-08_final
2022-01-14 11:14:05	ga_s2bm_ard_3-2-1_52KBU_2022-01-14_final
2022-01-20 11:36:42	ga_s2bm_ard_3-2-1_51HTD_2022-01-20_final
2022-02-02 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2022-02-02_final
2022-02-26 11:23:53	ga_s2bm_ard_3-2-1_51KXQ_2022-02-26_final
2022-02-28 12:04:09	ga_s2bm_ard_3-2-1_50KKV_2022-02-28_final
2022-03-28 11:23:47	ga_s2bm_ard_3-2-1_52KBV_2022-03-28_final
2022-04-30 11:33:27	ga_s2bm_ard_3-2-1_51KUS_2022-04-30_final
2022-05-06 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2022-05-06_final
2022-06-29 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2022-06-29_final.stac-item
2022-09-04 11:26:24	ga_s2bm_ard_3-2-1_51HXE_2022-09-04_final.stac-item
2022-09-23 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2022-09-23_final.stac-item
2022-10-04 11:26:53	ga_s2bm_ard_3-2-1_51HWC_2022-10-04_final.stac-item
2022-11-19 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2022-11-19_final.stac-item
2022-12-06 11:32:47	ga_s2bm_ard_3-2-1_51KYU_2022-12-06_final.stac-item
2022-12-09 11:41:29	ga_s2bm_ard_3-2-1_51LUE_2022-12-09_final.stac-item
2023-02-02 10:55:42	ga_s2bm_ard_3-2-1_52JFM_2023-02-02_final.stac-item
2023-02-28 11:13:34	ga_s2bm_ard_3-2-1_52KDA_2023-02-28_final.stac-item
2023-03-26 11:35:59	ga_s2bm_ard_3-2-1_51JVG_2023-03-26_final.stac-item
2023-05-18 11:41:37	ga_s2bm_ard_3-2-1_51LUE_2023-05-18_final.stac-item
2023-06-03 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2023-06-03_final.stac-item
2023-06-07 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2023-06-07_final.stac-item
2023-06-17 11:41:02	ga_s2bm_ard_3-2-1_51LWG_2023-06-17_final.stac-item
2023-07-01 11:26:27	ga_s2bm_ard_3-2-1_51HXE_2023-07-01_final.stac-item
2023-07-04 11:31:48	ga_s2bm_ard_3-2-1_51LXD_2023-07-04_final.stac-item
2023-07-22 10:55:28	ga_s2bm_ard_3-2-1_52JEP_2023-07-22_final.stac-item
2023-07-26 12:15:02	ga_s2bm_ard_3-2-1_49JGM_2023-07-26_final.stac-item
2023-08-06 11:44:10	ga_s2bm_ard_3-2-1_50KQV_2023-08-06_final.stac-item
2023-10-05 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2023-10-05_final.stac-item
2023-10-09 11:24:20	ga_s2bm_ard_3-2-1_52JBT_2023-10-09_final.stac-item
2023-10-28 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2023-10-28_final.stac-item
2023-10-29 11:26:38	ga_s2bm_ard_3-2-1_51HXD_2023-10-29_final.stac-item
2023-11-25 11:13:50	ga_s2bm_ard_3-2-1_51KZQ_2023-11-25_final.stac-item
2023-12-21 11:31:43	ga_s2bm_ard_3-2-1_51LXD_2023-12-21_final.stac-item
2024-01-17 11:23:54	ga_s2bm_ard_3-2-1_52KBV_2024-01-17_final.stac-item
2024-01-20 11:32:39	ga_s2bm_ard_3-2-1_51KXV_2024-01-20_final.stac-item
2024-01-20 11:35:47	ga_s2bm_ard_3-2-1_51JTH_2024-01-20_final.stac-item
2024-02-09 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2024-02-09_final.stac-item
2024-02-16 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2024-02-16_final.stac-item
2024-02-23 11:13:54	ga_s2bm_ard_3-2-1_51KZQ_2024-02-23_final.stac-item
2024-03-02 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2024-03-02_final.stac-item
2024-03-14 11:14:06	ga_s2bm_ard_3-2-1_52KBU_2024-03-14_final.stac-item
2024-03-24 11:13:29	ga_s2bm_ard_3-2-1_51KZS_2024-03-24_final.stac-item
2024-04-19 11:31:43	ga_s2bm_ard_3-2-1_51LXD_2024-04-19_final.stac-item
2024-04-19 11:32:01	ga_s2bm_ard_3-2-1_51LWC_2024-04-19_final.stac-item
2024-04-28 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2024-04-28_final.stac-item
2024-05-06 11:22:52	ga_s2bm_ard_3-2-1_52KBD_2024-05-06_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