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
2017-10-21 10:53:01	ga_s2bm_ard_3-2-1_53JKG_2017-10-21_final
2017-11-27 10:37:15	ga_s2bm_ard_3-2-1_53JPM_2017-11-27_final
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KYU_2017-12-02_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KVT_2017-12-22_final
2017-12-23 11:02:47	ga_s2bm_ard_3-2-1_52HDK_2017-12-23_final.stac-item
2018-01-18 11:16:52	ga_s2bm_ard_3-2-1_51KXT_2018-01-18_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_50KRV_2018-02-03_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_52KBB_2018-05-18_final
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_52KBU_2018-06-17_final
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_52KBB_2018-06-27_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JQR_2018-07-03_final
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51KZT_2018-08-06_final
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KWS_2018-08-19_final
2018-09-10 10:29:30	ga_s2bm_ard_3-2-1_53JQM_2018-09-10_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51KVR_2018-09-18_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KUV_2018-10-31_final
2018-11-07 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2018-11-07_final
2018-11-09 10:34:30	ga_s2bm_ard_3-2-1_53JQL_2018-11-09_final
2019-01-13 11:23:35	ga_s2bm_ard_3-2-1_51KZR_2019-01-13_final
2019-01-28 10:34:51	ga_s2bm_ard_3-2-1_53JPK_2019-01-28_final
2019-02-17 10:34:14	ga_s2bm_ard_3-2-1_53JRM_2019-02-17_final
2019-03-18 11:05:47	ga_s2bm_ard_3-2-1_52JDM_2019-03-18_final
2019-03-19 10:34:13	ga_s2bm_ard_3-2-1_53JRM_2019-03-19_final
2019-05-13 11:23:15	ga_s2bm_ard_3-2-1_52KBC_2019-05-13_final
2019-05-13 11:23:53	ga_s2bm_ard_3-2-1_51KZQ_2019-05-13_final
2019-06-04 10:26:30	ga_s2bm_ard_3-2-1_53HPD_2019-06-04_final
2019-06-18 11:43:08	ga_s2bm_ard_3-2-1_51KUU_2019-06-18_final
2019-07-02 11:23:15	ga_s2bm_ard_3-2-1_52KBC_2019-07-02_final
2019-07-29 11:15:56	ga_s2bm_ard_3-2-1_52JCM_2019-07-29_final
2019-10-15 10:34:05	ga_s2bm_ard_3-2-1_53JQN_2019-10-15_final
2019-10-15 10:34:37	ga_s2bm_ard_3-2-1_53JPL_2019-10-15_final
2019-10-19 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2019-10-19_final
2019-11-11 10:26:35	ga_s2bm_ard_3-2-1_53HPC_2019-11-11_final
2019-12-12 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2019-12-12_final
2020-02-18 10:51:58	ga_s2bm_ard_3-2-1_53KKB_2020-02-18_final
2020-03-06 10:44:18	ga_s2bm_ard_3-2-1_53JNM_2020-03-06_final
2020-03-28 11:23:22	ga_s2bm_ard_3-2-1_51KYS_2020-03-28_final
2020-05-24 11:13:16	ga_s2bm_ard_3-2-1_52KEB_2020-05-24_final
2020-07-06 11:23:23	ga_s2bm_ard_3-2-1_51KZS_2020-07-06_final
2020-07-13 11:15:23	ga_s2bm_ard_3-2-1_52JBP_2020-07-13_final
2020-07-16 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2020-07-16_final
2020-07-21 10:35:03	ga_s2bm_ard_3-2-1_53JQJ_2020-07-21_final
2020-08-09 11:03:23	ga_s2bm_ard_3-2-1_52KEB_2020-08-09_final
2020-10-22 10:46:13	ga_s2bm_ard_3-2-1_53HLE_2020-10-22_final
2020-10-24 11:23:43	ga_s2bm_ard_3-2-1_51KYR_2020-10-24_final
2020-11-10 11:14:10	ga_s2bm_ard_3-2-1_52KBU_2020-11-10_final
2020-12-10 11:11:17	ga_s2bm_ard_3-2-1_52LEK_2020-12-10_final.stac-item
2020-12-13 11:23:07	ga_s2bm_ard_3-2-1_51KYT_2020-12-13_final
2021-01-08 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2021-01-08_final
2021-01-15 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2021-01-15_final
2021-01-22 11:22:52	ga_s2bm_ard_3-2-1_51KZU_2021-01-22_final
2021-03-21 10:45:46	ga_s2bm_ard_3-2-1_52JGM_2021-03-21_final
2021-05-29 11:13:37	ga_s2bm_ard_3-2-1_52KCA_2021-05-29_final
2021-06-10 11:54:38	ga_s2bm_ard_3-2-1_50JNT_2021-06-10_final
2021-08-06 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2021-08-06_final
2021-08-07 11:13:31	ga_s2bm_ard_3-2-1_52KEA_2021-08-07_final
2021-08-18 10:43:51	ga_s2bm_ard_3-2-1_53KNP_2021-08-18_final
2021-10-04 10:34:25	ga_s2bm_ard_3-2-1_53JNM_2021-10-04_final
2021-10-15 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2021-10-15_final
2021-10-20 10:55:26	ga_s2bm_ard_3-2-1_53JKH_2021-10-20_final
2021-10-22 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2021-10-22_final
2021-10-27 10:46:07	ga_s2bm_ard_3-2-1_53HME_2021-10-27_final
2021-11-08 11:26:07	ga_s2bm_ard_3-2-1_51JXF_2021-11-08_final
2021-12-20 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2021-12-20_final
2022-02-14 10:44:00	ga_s2bm_ard_3-2-1_53JNN_2022-02-14_final
2022-03-21 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2022-03-21_final
2022-03-31 11:32:47	ga_s2bm_ard_3-2-1_51KYU_2022-03-31_final
2022-04-22 10:33:54	ga_s2bm_ard_3-2-1_53JRN_2022-04-22_final
2022-06-19 11:32:44	ga_s2bm_ard_3-2-1_51KXV_2022-06-19_final
2022-07-15 11:56:18	ga_s2bm_ard_3-2-1_50JKM_2022-07-15_final
2022-10-02 10:46:05	ga_s2bm_ard_3-2-1_53HME_2022-10-02_final.stac-item
2022-11-29 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2022-11-29_final.stac-item
2022-12-11 10:44:03	ga_s2bm_ard_3-2-1_53JNN_2022-12-11_final.stac-item
2022-12-30 11:13:43	ga_s2bm_ard_3-2-1_52KEV_2022-12-30_final.stac-item
2023-01-28 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2023-01-28_final.stac-item
2023-02-14 11:33:46	ga_s2bm_ard_3-2-1_51KUR_2023-02-14_final.stac-item
2023-03-10 11:13:37	ga_s2bm_ard_3-2-1_52KDA_2023-03-10_final.stac-item
2023-03-13 11:23:54	ga_s2bm_ard_3-2-1_52KBV_2023-03-13_final.stac-item
2023-05-06 11:06:13	ga_s2bm_ard_3-2-1_52JBL_2023-05-06_final.stac-item
2023-05-12 11:23:05	ga_s2bm_ard_3-2-1_52KCC_2023-05-12_final.stac-item
2023-06-08 11:13:30	ga_s2bm_ard_3-2-1_52KBB_2023-06-08_final.stac-item
2023-07-31 11:23:41	ga_s2bm_ard_3-2-1_51KZR_2023-07-31_final.stac-item
2023-09-03 11:06:29	ga_s2bm_ard_3-2-1_52HBK_2023-09-03_final.stac-item
2023-09-12 11:33:31	ga_s2bm_ard_3-2-1_51KWS_2023-09-12_final.stac-item
2023-09-15 11:43:06	ga_s2bm_ard_3-2-1_51KTU_2023-09-15_final.stac-item
2023-10-19 11:23:23	ga_s2bm_ard_3-2-1_51KZS_2023-10-19_final.stac-item
2023-10-22 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2023-10-22_final.stac-item
2023-12-02 11:04:00	ga_s2bm_ard_3-2-1_52KEU_2023-12-02_final.stac-item
2023-12-06 10:45:44	ga_s2bm_ard_3-2-1_52JGM_2023-12-06_final.stac-item
2023-12-12 11:05:13	ga_s2bm_ard_3-2-1_52JEP_2023-12-12_final.stac-item
2023-12-14 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2023-12-14_final.stac-item
2023-12-18 11:23:21	ga_s2bm_ard_3-2-1_51KZS_2023-12-18_final.stac-item
2024-01-11 11:03:32	ga_s2bm_ard_3-2-1_52KEA_2024-01-11_final.stac-item
2024-01-22 10:34:32	ga_s2bm_ard_3-2-1_53JQL_2024-01-22_final.stac-item
2024-02-13 11:13:08	ga_s2bm_ard_3-2-1_52KCC_2024-02-13_final.stac-item
2024-02-24 10:43:48	ga_s2bm_ard_3-2-1_53KPP_2024-02-24_final.stac-item
2024-03-02 10:33:50	ga_s2bm_ard_3-2-1_53KPP_2024-03-02_final.stac-item
2024-03-31 11:00:30	ga_s2bm_ard_3-2-1_52LHN_2024-03-31_final.stac-item
2024-04-01 10:33:52	ga_s2bm_ard_3-2-1_53KPP_2024-04-01_final.stac-item
2024-05-13 11:15:21	ga_s2bm_ard_3-2-1_52JBP_2024-05-13_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