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 10:07:04	ga_s2bm_ard_3-2-1_54LZK_2017-07-01_final
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_54HYF_2017-08-24_final
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_52JCN_2017-08-28_final
2017-10-30 09:45:46	ga_s2bm_ard_3-2-1_55HBS_2017-10-30_final
2017-11-04 10:32:19	ga_s2bm_ard_3-2-1_53JPM_2017-11-04_final
2017-12-14 10:32:21	ga_s2bm_ard_3-2-1_53JNF_2017-12-14_final
2018-02-13 11:37:45	ga_s2bm_ard_3-2-1_51KVU_2018-02-13_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KVU_2018-03-25_final
2018-04-23 10:27:06	ga_s2bm_ard_3-2-1_54JTT_2018-04-23_final
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52JDM_2018-05-02_final
2018-05-05 09:32:39	ga_s2bm_ard_3-2-1_55GDN_2018-05-05_final
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_50KKU_2018-05-30_final
2018-06-12 10:33:10	ga_s2bm_ard_3-2-1_53JQM_2018-06-12_final
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_52KBC_2018-06-27_final
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_53JNM_2018-07-05_final
2018-07-22 12:13:19	ga_s2bm_ard_3-2-1_49KGR_2018-07-22_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51KXT_2018-08-29_final
2018-09-17 10:22:40	ga_s2bm_ard_3-2-1_54KTV_2018-09-17_final
2018-09-24 10:06:58	ga_s2bm_ard_3-2-1_54LZK_2018-09-24_final
2018-11-24 11:23:36	ga_s2bm_ard_3-2-1_51KYR_2018-11-24_final
2018-11-28 11:03:16	ga_s2bm_ard_3-2-1_52KEB_2018-11-28_final
2018-11-29 10:33:41	ga_s2bm_ard_3-2-1_54KTU_2018-11-29_final
2018-12-12 10:43:56	ga_s2bm_ard_3-2-1_53JPN_2018-12-12_final
2019-02-12 11:22:56	ga_s2bm_ard_3-2-1_51KYU_2019-02-12_final
2019-04-28 10:34:21	ga_s2bm_ard_3-2-1_53JNN_2019-04-28_final
2019-05-13 11:23:22	ga_s2bm_ard_3-2-1_51KXT_2019-05-13_final
2019-05-17 11:03:57	ga_s2bm_ard_3-2-1_52KEV_2019-05-17_final
2019-06-09 11:13:41	ga_s2bm_ard_3-2-1_52KDA_2019-06-09_final
2019-06-14 12:04:06	ga_s2bm_ard_3-2-1_50KKA_2019-06-14_final
2019-06-26 09:28:39	ga_s2bm_ard_3-2-1_55GFP_2019-06-25_final
2019-07-14 10:25:08	ga_s2bm_ard_3-2-1_54JUP_2019-07-14_final
2019-08-25 11:05:58	ga_s2bm_ard_3-2-1_52JEM_2019-08-25_final
2019-10-18 10:43:49	ga_s2bm_ard_3-2-1_53KPP_2019-10-18_final
2019-10-20 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2019-10-20_final
2019-10-25 10:31:32	ga_s2bm_ard_3-2-1_54LUH_2019-10-25_final
2019-11-03 11:03:20	ga_s2bm_ard_3-2-1_52KEB_2019-11-03_final
2019-11-21 10:21:44	ga_s2bm_ard_3-2-1_54KVG_2019-11-21_final
2019-12-24 10:33:59	ga_s2bm_ard_3-2-1_53JQN_2019-12-24_final
2020-02-22 10:33:56	ga_s2bm_ard_3-2-1_53JRN_2020-02-22_final
2020-04-24 11:13:48	ga_s2bm_ard_3-2-1_51KZQ_2020-04-24_final
2020-04-28 10:50:19	ga_s2bm_ard_3-2-1_53LNH_2020-04-28_final.stac-item
2020-05-10 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2020-05-10_final
2020-06-28 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2020-06-28_final
2020-07-13 11:13:13	ga_s2bm_ard_3-2-1_52KCC_2020-07-13_final
2020-07-31 10:34:02	ga_s2bm_ard_3-2-1_54JTT_2020-07-31_final
2020-08-03 10:44:09	ga_s2bm_ard_3-2-1_53JNN_2020-08-03_final
2020-08-05 11:23:09	ga_s2bm_ard_3-2-1_52KBC_2020-08-05_final
2020-11-15 10:24:19	ga_s2bm_ard_3-2-1_53JRM_2020-11-15_final
2020-11-16 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2020-11-16_final
2020-11-18 10:33:50	ga_s2bm_ard_3-2-1_53KQP_2020-11-18_final
2020-12-30 11:11:14	ga_s2bm_ard_3-2-1_52LFK_2020-12-30_final
2021-01-07 10:31:21	ga_s2bm_ard_3-2-1_54LWH_2021-01-07_final
2021-01-15 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2021-01-15_final
2021-01-27 10:30:18	ga_s2bm_ard_3-2-1_54LXM_2021-01-27_final
2021-01-28 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2021-01-28_final
2021-02-16 10:33:43	ga_s2bm_ard_3-2-1_53KRP_2021-02-16_final
2021-03-03 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2021-03-03_final
2021-03-09 11:41:54	ga_s2bm_ard_3-2-1_51LWC_2021-03-09_final
2021-03-26 11:33:22	ga_s2bm_ard_3-2-1_51KXS_2021-03-26_final
2021-06-06 10:36:11	ga_s2bm_ard_3-2-1_53HME_2021-06-06_final
2021-06-19 10:45:59	ga_s2bm_ard_3-2-1_53JKF_2021-06-19_final
2021-08-05 10:34:16	ga_s2bm_ard_3-2-1_54JTS_2021-08-05_final
2021-11-08 11:25:10	ga_s2bm_ard_3-2-1_51JXK_2021-11-08_final
2021-12-21 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2021-12-21_final
2021-12-28 11:23:35	ga_s2bm_ard_3-2-1_51KYR_2021-12-28_final
2022-02-19 11:33:32	ga_s2bm_ard_3-2-1_51KXR_2022-02-19_final
2022-02-25 10:16:47	ga_s2bm_ard_3-2-1_53HQB_2022-02-25_final
2022-03-23 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2022-03-23_final
2022-04-13 10:06:32	ga_s2bm_ard_3-2-1_54HWH_2022-04-13_final
2022-06-02 11:41:55	ga_s2bm_ard_3-2-1_51LWC_2022-06-02_final
2022-06-23 11:13:12	ga_s2bm_ard_3-2-1_52KCC_2022-06-23_final
2022-08-08 11:33:49	ga_s2bm_ard_3-2-1_51KVR_2022-08-08_final
2022-08-27 10:20:43	ga_s2bm_ard_3-2-1_54LXL_2022-08-27_final
2022-09-14 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2022-09-14_final.stac-item
2022-10-29 10:31:49	ga_s2bm_ard_3-2-1_53KRB_2022-10-29_final.stac-item
2022-10-30 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2022-10-30_final.stac-item
2023-01-21 11:57:04	ga_s2bm_ard_3-2-1_50HKH_2023-01-21_nrt.stac-item
2023-01-27 10:30:05	ga_s2bm_ard_3-2-1_54LXN_2023-01-27_final.stac-item
2023-02-04 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2023-02-04_final.stac-item
2023-02-07 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2023-02-07_final.stac-item
2023-03-23 11:23:23	ga_s2bm_ard_3-2-1_51KZS_2023-03-23_final.stac-item
2023-07-13 10:24:27	ga_s2bm_ard_3-2-1_53JRM_2023-07-13_final.stac-item
2023-09-09 11:23:32	ga_s2bm_ard_3-2-1_51KXS_2023-09-09_final.stac-item
2023-09-10 10:50:45	ga_s2bm_ard_3-2-1_53LMG_2023-09-10_final.stac-item
2023-10-02 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2023-10-02_final.stac-item
2023-10-14 10:34:02	ga_s2bm_ard_3-2-1_53JRN_2023-10-14_final.stac-item
2023-10-30 10:55:48	ga_s2bm_ard_3-2-1_52JFM_2023-10-30_final.stac-item
2023-11-24 10:04:12	ga_s2bm_ard_3-2-1_54JYS_2023-11-24_final.stac-item
2024-01-02 10:33:56	ga_s2bm_ard_3-2-1_53KPP_2024-01-02_final.stac-item
2024-01-08 10:52:58	ga_s2bm_ard_3-2-1_53KKT_2024-01-08_final.stac-item
2024-01-12 10:34:30	ga_s2bm_ard_3-2-1_53JQL_2024-01-12_final.stac-item
2024-01-13 11:43:20	ga_s2bm_ard_3-2-1_51KVS_2024-01-13_final.stac-item
2024-01-17 11:22:50	ga_s2bm_ard_3-2-1_52KBD_2024-01-17_final.stac-item
2024-01-25 10:45:42	ga_s2bm_ard_3-2-1_53JKG_2024-01-25_final.stac-item
2024-02-01 10:34:15	ga_s2bm_ard_3-2-1_53JQM_2024-02-01_final.stac-item
2024-02-05 10:13:32	ga_s2bm_ard_3-2-1_54KZU_2024-02-05_final.stac-item
2024-02-05 10:17:03	ga_s2bm_ard_3-2-1_53HQA_2024-02-05_final.stac-item
2024-02-16 11:22:49	ga_s2bm_ard_3-2-1_52KCD_2024-02-16_final.stac-item
2024-04-06 11:23:23	ga_s2bm_ard_3-2-1_51KYS_2024-04-06_final.stac-item
2024-04-25 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2024-04-25_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