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
2017-07-09 11:10:37	ga_s2bm_ard_3-2-1_52LGK_2017-07-09_final
2017-07-27 10:32:10	ga_s2bm_ard_3-2-1_53KQP_2017-07-27_final
2017-12-17 10:37:15	ga_s2bm_ard_3-2-1_53JNN_2017-12-17_final
2018-01-03 10:32:23	ga_s2bm_ard_3-2-1_53JNN_2018-01-03_final
2018-03-03 10:57:06	ga_s2bm_ard_3-2-1_52JEM_2018-03-03_final
2018-04-13 10:27:05	ga_s2bm_ard_3-2-1_53JQM_2018-04-13_final
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53JQN_2018-05-23_final
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50HNJ_2018-06-13_final
2018-06-14 11:10:36	ga_s2bm_ard_3-2-1_51HXE_2018-06-14_final
2018-06-23 11:37:58	ga_s2bm_ard_3-2-1_51KUT_2018-06-23_final
2018-10-20 10:31:25	ga_s2bm_ard_3-2-1_53KPP_2018-10-20_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51JWL_2018-10-28_final
2018-11-11 11:14:44	ga_s2bm_ard_3-2-1_52JDR_2018-11-11_final
2018-12-04 11:23:02	ga_s2bm_ard_3-2-1_51KZT_2018-12-04_final
2019-01-18 10:35:44	ga_s2bm_ard_3-2-1_53JQF_2019-01-18_final
2019-04-13 11:25:04	ga_s2bm_ard_3-2-1_51JWL_2019-04-13_final
2019-04-17 11:00:36	ga_s2bm_ard_3-2-1_52LHN_2019-04-17_final
2019-07-05 11:34:11	ga_s2bm_ard_3-2-1_51KUQ_2019-07-05_final
2019-07-09 11:13:24	ga_s2bm_ard_3-2-1_52KEB_2019-07-09_final
2019-08-14 11:36:09	ga_s2bm_ard_3-2-1_51JTG_2019-08-14_final
2019-10-07 11:16:45	ga_s2bm_ard_3-2-1_51HWD_2019-10-07_final
2019-10-15 10:34:05	ga_s2bm_ard_3-2-1_53JQN_2019-10-15_final
2019-11-17 10:44:05	ga_s2bm_ard_3-2-1_53JNN_2019-11-17_final
2019-12-05 11:44:45	ga_s2bm_ard_3-2-1_51JUL_2019-12-05_final
2020-03-01 11:32:05	ga_s2bm_ard_3-2-1_51KYB_2020-03-01_final
2020-03-01 11:32:43	ga_s2bm_ard_3-2-1_51KXV_2020-03-01_final
2020-03-02 11:02:37	ga_s2bm_ard_3-2-1_53KKU_2020-03-02_final
2020-04-30 11:32:16	ga_s2bm_ard_3-2-1_51KVB_2020-04-30_final
2020-04-30 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2020-04-30_final
2020-05-02 10:34:10	ga_s2bm_ard_3-2-1_53JRM_2020-05-02_final
2020-05-25 10:44:22	ga_s2bm_ard_3-2-1_53JNM_2020-05-25_final
2020-06-29 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2020-06-29_final
2020-07-28 10:24:21	ga_s2bm_ard_3-2-1_53JRM_2020-07-28_final
2020-08-13 10:45:08	ga_s2bm_ard_3-2-1_53JNJ_2020-08-13_final
2020-08-21 11:43:18	ga_s2bm_ard_3-2-1_51KUT_2020-08-21_final
2020-09-22 10:44:12	ga_s2bm_ard_3-2-1_53JMN_2020-09-22_final
2020-10-10 11:43:04	ga_s2bm_ard_3-2-1_51KUU_2020-10-10_final
2020-10-29 10:37:02	ga_s2bm_ard_3-2-1_53HPA_2020-10-29_final
2020-11-20 11:12:47	ga_s2bm_ard_3-2-1_52KED_2020-11-20_final
2020-12-05 10:24:39	ga_s2bm_ard_3-2-1_53JQL_2020-12-05_final
2020-12-05 10:26:16	ga_s2bm_ard_3-2-1_53HQD_2020-12-05_final
2020-12-06 11:33:22	ga_s2bm_ard_3-2-1_51KXS_2020-12-06_final
2020-12-18 10:34:10	ga_s2bm_ard_3-2-1_53JRM_2020-12-18_final
2021-01-26 11:05:26	ga_s2bm_ard_3-2-1_52JFN_2021-01-26_final
2021-02-03 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2021-02-03_final
2021-02-04 11:34:13	ga_s2bm_ard_3-2-1_51KVP_2021-02-04_final
2021-03-21 10:45:22	ga_s2bm_ard_3-2-1_53JMH_2021-03-21_final
2021-03-22 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2021-03-22_final
2021-04-17 10:33:59	ga_s2bm_ard_3-2-1_53JQN_2021-04-17_final
2021-04-26 11:01:22	ga_s2bm_ard_3-2-1_53LKD_2021-04-26_final
2021-05-07 10:34:16	ga_s2bm_ard_3-2-1_53JQM_2021-05-07_final
2021-06-01 11:25:07	ga_s2bm_ard_3-2-1_51JYK_2021-06-01_final
2021-07-28 11:11:06	ga_s2bm_ard_3-2-1_52LEL_2021-07-28_final.stac-item
2021-09-17 10:44:17	ga_s2bm_ard_3-2-1_53JNM_2021-09-17_final
2021-10-09 11:26:19	ga_s2bm_ard_3-2-1_51JUF_2021-10-09_final
2021-10-25 11:46:27	ga_s2bm_ard_3-2-1_50JML_2021-10-25_final
2021-10-29 11:25:58	ga_s2bm_ard_3-2-1_51JWG_2021-10-29_final
2021-11-23 10:34:04	ga_s2bm_ard_3-2-1_53JPN_2021-11-23_final
2022-01-02 10:33:41	ga_s2bm_ard_3-2-1_53KRP_2022-01-02_final
2022-02-11 10:34:12	ga_s2bm_ard_3-2-1_53JQM_2022-02-11_final
2022-02-21 12:15:14	ga_s2bm_ard_3-2-1_49JGK_2022-02-21_final
2022-03-22 11:06:22	ga_s2bm_ard_3-2-1_52HBK_2022-03-22_final
2022-04-09 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2022-04-09_final
2022-04-22 10:33:54	ga_s2bm_ard_3-2-1_53JRN_2022-04-22_final
2022-04-25 10:41:39	ga_s2bm_ard_3-2-1_53KRB_2022-04-25_final
2022-04-27 11:26:19	ga_s2bm_ard_3-2-1_51HWE_2022-04-27_final
2022-05-29 12:04:28	ga_s2bm_ard_3-2-1_50KKU_2022-05-29_final
2022-06-04 10:44:10	ga_s2bm_ard_3-2-1_53JMN_2022-06-04_final
2022-09-04 11:23:29	ga_s2bm_ard_3-2-1_52KCA_2022-09-04_final.stac-item
2022-09-07 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2022-09-07_final.stac-item
2022-09-25 10:54:17	ga_s2bm_ard_3-2-1_53JKN_2022-09-25_final.stac-item
2022-10-01 11:11:30	ga_s2bm_ard_3-2-1_52LFJ_2022-10-01_final.stac-item
2022-10-11 12:50:57	ga_s2bm_ard_3-2-1_48LXP_2022-10-11_interim.stac-item
2022-10-23 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2022-10-23_final.stac-item
2022-11-24 10:54:12	ga_s2bm_ard_3-2-1_53JKN_2022-11-24_final.stac-item
2022-12-17 11:05:07	ga_s2bm_ard_3-2-1_52JCQ_2022-12-17_final.stac-item
2022-12-18 10:34:20	ga_s2bm_ard_3-2-1_53JPM_2022-12-18_final.stac-item
2022-12-18 10:36:38	ga_s2bm_ard_3-2-1_53HMC_2022-12-18_final.stac-item
2023-01-17 10:33:57	ga_s2bm_ard_3-2-1_53JRN_2023-01-17_final.stac-item
2023-02-06 10:34:12	ga_s2bm_ard_3-2-1_53JRM_2023-02-06_final.stac-item
2023-04-30 10:43:54	ga_s2bm_ard_3-2-1_53KNP_2023-04-30_final.stac-item
2023-05-01 11:54:10	ga_s2bm_ard_3-2-1_50KNV_2023-05-01_final.stac-item
2023-05-20 10:44:26	ga_s2bm_ard_3-2-1_53JNM_2023-05-20_final.stac-item
2023-06-03 12:05:48	ga_s2bm_ard_3-2-1_49JGJ_2023-06-03_final.stac-item
2023-06-13 10:24:27	ga_s2bm_ard_3-2-1_53JRM_2023-06-13_final.stac-item
2023-06-29 10:44:15	ga_s2bm_ard_3-2-1_53JMN_2023-06-29_final.stac-item
2023-07-10 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2023-07-10_final.stac-item
2023-08-02 12:04:01	ga_s2bm_ard_3-2-1_50KLA_2023-08-02_final.stac-item
2023-08-18 10:45:19	ga_s2bm_ard_3-2-1_53JKJ_2023-08-18_final.stac-item
2023-10-22 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2023-10-22_final.stac-item
2023-10-27 10:42:26	ga_s2bm_ard_3-2-1_53KNV_2023-10-27_final.stac-item
2024-01-07 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2024-01-07_final.stac-item
2024-01-07 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2024-01-07_final.stac-item
2024-01-17 11:22:36	ga_s2bm_ard_3-2-1_52KBE_2024-01-17_final.stac-item
2024-02-17 10:53:01	ga_s2bm_ard_3-2-1_52KHC_2024-02-17_final.stac-item
2024-03-05 10:44:16	ga_s2bm_ard_3-2-1_53JNM_2024-03-05_final.stac-item
2024-03-10 11:35:11	ga_s2bm_ard_3-2-1_51JUK_2024-03-10_final.stac-item
2024-03-11 11:02:34	ga_s2bm_ard_3-2-1_52KFE_2024-03-11_final.stac-item
2024-03-13 11:41:52	ga_s2bm_ard_3-2-1_51LWC_2024-03-13_final.stac-item
2024-04-01 10:33:52	ga_s2bm_ard_3-2-1_53KPP_2024-04-01_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