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
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53JPN_2017-06-30_final
2017-11-10 10:53:01	ga_s2bm_ard_3-2-1_53JKG_2017-11-10_final
2018-01-27 11:56:04	ga_s2bm_ard_3-2-1_50JLM_2018-01-27_final
2018-03-06 11:11:23	ga_s2bm_ard_3-2-1_51JYF_2018-03-06_final
2018-03-18 10:16:09	ga_s2bm_ard_3-2-1_53HQB_2018-03-18_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51JVN_2018-05-31_final
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KVQ_2018-06-10_final
2018-07-14 11:07:11	ga_s2bm_ard_3-2-1_52LHM_2018-07-14_final
2018-07-15 10:41:45	ga_s2bm_ard_3-2-1_53JLG_2018-07-15_final
2018-09-13 10:41:38	ga_s2bm_ard_3-2-1_53JNN_2018-09-13_final
2018-12-18 11:06:04	ga_s2bm_ard_3-2-1_52JBL_2018-12-18_final
2019-01-06 11:36:03	ga_s2bm_ard_3-2-1_50JQM_2019-01-06_final
2019-01-28 10:34:06	ga_s2bm_ard_3-2-1_53JPN_2019-01-28_final
2019-02-18 11:41:58	ga_s2bm_ard_3-2-1_51LVC_2019-02-18_final
2019-03-21 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2019-03-21_final.stac-item
2019-03-24 11:24:30	ga_s2bm_ard_3-2-1_51JWN_2019-03-24_final
2019-04-29 11:46:48	ga_s2bm_ard_3-2-1_50HMK_2019-04-29_final
2019-06-17 10:34:00	ga_s2bm_ard_3-2-1_53KPP_2019-06-17_final
2019-07-05 11:36:57	ga_s2bm_ard_3-2-1_50HQJ_2019-07-05_final
2019-07-16 11:06:15	ga_s2bm_ard_3-2-1_52JCL_2019-07-16_final
2019-07-16 11:06:19	ga_s2bm_ard_3-2-1_52JBL_2019-07-16_final
2019-12-19 11:23:01	ga_s2bm_ard_3-2-1_51KZT_2019-12-19_final
2020-01-25 11:16:33	ga_s2bm_ard_3-2-1_51HXD_2020-01-25_final
2020-02-02 10:34:40	ga_s2bm_ard_3-2-1_53JQK_2020-02-02_final
2020-03-02 11:03:32	ga_s2bm_ard_3-2-1_52KEA_2020-03-02_final
2020-03-02 11:04:59	ga_s2bm_ard_3-2-1_52JEQ_2020-03-02_final
2020-03-03 10:34:59	ga_s2bm_ard_3-2-1_53JQJ_2020-03-03_final
2020-03-03 10:35:03	ga_s2bm_ard_3-2-1_53JPJ_2020-03-03_final
2020-03-14 11:46:24	ga_s2bm_ard_3-2-1_50JML_2020-03-14_final
2020-04-06 11:53:43	ga_s2bm_ard_3-2-1_50KQA_2020-04-06_final
2020-04-07 11:23:44	ga_s2bm_ard_3-2-1_51KXR_2020-04-07_final
2020-05-01 11:05:55	ga_s2bm_ard_3-2-1_52JBM_2020-05-01_final
2020-05-09 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2020-05-09_final
2020-05-20 11:32:11	ga_s2bm_ard_3-2-1_51KXB_2020-05-20_final
2020-08-18 11:36:09	ga_s2bm_ard_3-2-1_50JQM_2020-08-18_final
2020-09-17 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2020-09-17_final
2020-09-19 10:36:12	ga_s2bm_ard_3-2-1_53HME_2020-09-19_final
2020-11-23 11:24:19	ga_s2bm_ard_3-2-1_52JBT_2020-11-23_final
2020-12-07 11:02:52	ga_s2bm_ard_3-2-1_53KKT_2020-12-07_final
2020-12-10 11:13:42	ga_s2bm_ard_3-2-1_52KEV_2020-12-10_final
2020-12-30 11:11:24	ga_s2bm_ard_3-2-1_52LGJ_2020-12-30_final
2021-01-04 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2021-01-04_final
2021-01-05 11:34:24	ga_s2bm_ard_3-2-1_51JWN_2021-01-05_final
2021-02-13 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2021-02-13_final
2021-02-19 10:42:08	ga_s2bm_ard_3-2-1_53KNA_2021-02-19_final
2021-03-14 10:53:13	ga_s2bm_ard_3-2-1_52KHB_2021-03-14_final
2021-03-18 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2021-03-18_final
2021-03-20 11:11:47	ga_s2bm_ard_3-2-1_52LEH_2021-03-20_final
2021-04-23 10:52:40	ga_s2bm_ard_3-2-1_53KNT_2021-04-23_final
2021-05-17 10:36:31	ga_s2bm_ard_3-2-1_53HPC_2021-05-17_final
2021-05-27 10:34:26	ga_s2bm_ard_3-2-1_53JNM_2021-05-27_final
2021-06-04 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2021-06-04_final
2021-06-19 10:44:17	ga_s2bm_ard_3-2-1_53JPM_2021-06-19_final
2021-06-21 11:24:52	ga_s2bm_ard_3-2-1_51JYL_2021-06-21_final
2021-07-04 11:36:33	ga_s2bm_ard_3-2-1_51HTE_2021-07-04_final
2021-07-16 10:34:27	ga_s2bm_ard_3-2-1_53JNM_2021-07-16_final
2021-07-26 10:34:20	ga_s2bm_ard_3-2-1_53JQM_2021-07-26_final
2021-07-26 12:15:22	ga_s2bm_ard_3-2-1_49JGK_2021-07-26_final
2021-08-12 10:24:40	ga_s2bm_ard_3-2-1_53JQL_2021-08-12_final
2021-09-17 10:45:10	ga_s2bm_ard_3-2-1_53JKJ_2021-09-17_final
2021-09-19 11:26:37	ga_s2bm_ard_3-2-1_51HWD_2021-09-19_final
2021-10-27 10:44:04	ga_s2bm_ard_3-2-1_53JPN_2021-10-27_final
2021-12-17 11:56:30	ga_s2bm_ard_3-2-1_50HMK_2021-12-17_final
2021-12-24 11:42:23	ga_s2bm_ard_3-2-1_51KVA_2021-12-24_final
2022-01-17 11:21:56	ga_s2bm_ard_3-2-1_52KDG_2022-01-17_final
2022-04-30 11:33:09	ga_s2bm_ard_3-2-1_51KVT_2022-04-30_final
2022-05-01 11:03:35	ga_s2bm_ard_3-2-1_52KGV_2022-05-01_final
2022-05-13 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2022-05-13_final
2022-05-23 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2022-05-23_final
2022-05-30 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2022-05-30_final
2022-06-01 10:34:31	ga_s2bm_ard_3-2-1_53JPL_2022-06-01_final
2022-06-09 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2022-06-09_final
2022-06-29 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2022-06-29_final
2022-08-09 11:06:03	ga_s2bm_ard_3-2-1_52JEL_2022-08-09_final
2022-08-20 10:37:00	ga_s2bm_ard_3-2-1_53HPA_2022-08-20_final
2022-09-20 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2022-09-20_final.stac-item
2022-10-19 10:35:52	ga_s2bm_ard_3-2-1_53JNF_2022-10-19_final.stac-item
2022-11-13 11:26:05	ga_s2bm_ard_3-2-1_51JUG_2022-11-13_final.stac-item
2022-12-15 10:26:46	ga_s2bm_ard_3-2-1_53HPB_2022-12-15_final.stac-item
2023-01-03 10:52:40	ga_s2bm_ard_3-2-1_53KLU_2023-01-03_final.stac-item
2023-03-10 11:10:29	ga_s2bm_ard_3-2-1_52LHN_2023-03-10_final.stac-item
2023-03-23 11:26:07	ga_s2bm_ard_3-2-1_51JUG_2023-03-23_final.stac-item
2023-03-26 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2023-03-26_final.stac-item
2023-03-29 11:45:24	ga_s2bm_ard_3-2-1_50JPQ_2023-03-29_final.stac-item
2023-03-31 10:44:16	ga_s2bm_ard_3-2-1_53JLN_2023-03-31_final.stac-item
2023-03-31 10:45:00	ga_s2bm_ard_3-2-1_53JLK_2023-03-31_final.stac-item
2023-04-19 11:14:51	ga_s2bm_ard_3-2-1_52JCR_2023-04-19_final.stac-item
2023-05-01 11:54:00	ga_s2bm_ard_3-2-1_50KMA_2023-05-01_final.stac-item
2023-06-06 12:13:44	ga_s2bm_ard_3-2-1_50KKB_2023-06-06_final.stac-item
2023-07-01 11:26:02	ga_s2bm_ard_3-2-1_51JWG_2023-07-01_final.stac-item
2023-08-04 11:05:35	ga_s2bm_ard_3-2-1_52JEN_2023-08-04_final.stac-item
2023-08-12 12:06:15	ga_s2bm_ard_3-2-1_50JKM_2023-08-12_final.stac-item
2023-10-22 11:33:04	ga_s2bm_ard_3-2-1_51KYT_2023-10-22_final.stac-item
2023-10-23 11:06:11	ga_s2bm_ard_3-2-1_52JBL_2023-10-23_final.stac-item
2023-11-09 10:53:48	ga_s2bm_ard_3-2-1_52KGV_2023-11-09_final.stac-item
2023-12-08 11:26:32	ga_s2bm_ard_3-2-1_51HXD_2023-12-08_final.stac-item
2023-12-09 10:54:44	ga_s2bm_ard_3-2-1_52JFR_2023-12-09_final.stac-item
2023-12-26 10:44:04	ga_s2bm_ard_3-2-1_53JPN_2023-12-26_final.stac-item
2024-03-24 11:13:41	ga_s2bm_ard_3-2-1_51KZR_2024-03-24_final.stac-item
2024-05-01 10:34:00	ga_s2bm_ard_3-2-1_53JRN_2024-05-01_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