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
2017-09-14 11:02:49	ga_s2bm_ard_3-2-1_52HDK_2017-09-14_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KUP_2017-12-05_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KWV_2017-12-12_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KWS_2018-01-01_final
2018-01-05 11:07:03	ga_s2bm_ard_3-2-1_52LFK_2018-01-05_final
2018-04-03 10:27:04	ga_s2bm_ard_3-2-1_53JQL_2018-04-03_final
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_52KBV_2018-05-28_final
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_51KYT_2018-06-17_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_50HPH_2018-06-20_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2018-06-30_final
2018-07-02 10:31:05	ga_s2bm_ard_3-2-1_53JQL_2018-07-02_final
2018-07-27 11:17:54	ga_s2bm_ard_3-2-1_51KYR_2018-07-27_final
2018-08-03 11:11:32	ga_s2bm_ard_3-2-1_51HXD_2018-08-03_final
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52KEA_2018-08-10_final
2018-09-23 10:41:40	ga_s2bm_ard_3-2-1_53JNM_2018-09-23_final
2018-11-24 11:23:07	ga_s2bm_ard_3-2-1_51KYT_2018-11-24_final
2018-11-30 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2018-11-30_final
2018-12-13 11:53:14	ga_s2bm_ard_3-2-1_50KPC_2018-12-13_final
2019-01-23 11:23:03	ga_s2bm_ard_3-2-1_52KCC_2019-01-23_final
2019-03-21 11:16:22	ga_s2bm_ard_3-2-1_51HYE_2019-03-21_final
2019-04-16 11:36:25	ga_s2bm_ard_3-2-1_50JQL_2019-04-16_final
2019-05-18 10:35:57	ga_s2bm_ard_3-2-1_53JPF_2019-05-18_final
2019-06-04 10:26:40	ga_s2bm_ard_3-2-1_53HQC_2019-06-04_final
2019-06-15 11:33:52	ga_s2bm_ard_3-2-1_51KVR_2019-06-15_final
2019-06-28 11:46:51	ga_s2bm_ard_3-2-1_50HQJ_2019-06-28_final
2019-07-09 11:15:42	ga_s2bm_ard_3-2-1_52JCN_2019-07-09_final
2019-07-12 11:23:22	ga_s2bm_ard_3-2-1_51KXT_2019-07-12_final
2019-07-15 11:33:50	ga_s2bm_ard_3-2-1_51KWR_2019-07-15_final
2019-07-29 11:15:59	ga_s2bm_ard_3-2-1_52JBM_2019-07-29_final
2019-08-18 11:14:00	ga_s2bm_ard_3-2-1_52KBV_2019-08-18_final
2019-08-28 11:13:44	ga_s2bm_ard_3-2-1_51KZR_2019-08-28_final
2019-08-29 10:46:02	ga_s2bm_ard_3-2-1_53JKF_2019-08-29_final
2019-10-07 11:13:31	ga_s2bm_ard_3-2-1_52KEA_2019-10-07_final
2019-11-19 11:23:14	ga_s2bm_ard_3-2-1_51KYS_2019-11-19_final
2019-12-02 11:31:55	ga_s2bm_ard_3-2-1_51LWC_2019-12-02_final
2019-12-09 11:22:50	ga_s2bm_ard_3-2-1_51KYU_2019-12-09_final
2019-12-25 11:42:55	ga_s2bm_ard_3-2-1_51KUU_2019-12-25_final
2019-12-31 10:26:27	ga_s2bm_ard_3-2-1_53HQC_2019-12-31_final
2020-05-14 11:14:08	ga_s2bm_ard_3-2-1_52KBU_2020-05-14_final
2020-08-02 11:15:25	ga_s2bm_ard_3-2-1_52JBP_2020-08-02_final
2020-08-22 11:13:58	ga_s2bm_ard_3-2-1_52KBV_2020-08-22_final
2020-09-07 11:33:09	ga_s2bm_ard_3-2-1_51KYT_2020-09-07_final
2020-09-22 10:44:12	ga_s2bm_ard_3-2-1_53JMN_2020-09-22_final
2020-10-07 11:33:51	ga_s2bm_ard_3-2-1_51KUR_2020-10-07_final
2020-10-27 11:33:51	ga_s2bm_ard_3-2-1_51KUR_2020-10-27_final
2020-11-21 10:44:21	ga_s2bm_ard_3-2-1_53JNM_2020-11-21_final
2020-11-29 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2020-11-29_final
2020-11-30 11:13:18	ga_s2bm_ard_3-2-1_52KDB_2020-11-30_final
2020-12-10 11:10:22	ga_s2bm_ard_3-2-1_52LHN_2020-12-10_final
2020-12-13 11:23:46	ga_s2bm_ard_3-2-1_51KZQ_2020-12-13_final
2021-02-08 11:13:38	ga_s2bm_ard_3-2-1_52KBA_2021-02-08_final
2021-02-11 11:23:15	ga_s2bm_ard_3-2-1_52KCB_2021-02-11_final
2021-04-02 11:23:48	ga_s2bm_ard_3-2-1_52KBV_2021-04-02_final
2021-05-03 10:55:24	ga_s2bm_ard_3-2-1_52JGN_2021-05-03_final
2021-05-09 11:13:13	ga_s2bm_ard_3-2-1_52KEB_2021-05-09_final
2021-06-08 11:13:55	ga_s2bm_ard_3-2-1_52KBV_2021-06-08_final
2021-06-12 10:54:22	ga_s2bm_ard_3-2-1_52JFT_2021-06-12_final
2021-06-23 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2021-06-23_final
2021-06-28 11:14:10	ga_s2bm_ard_3-2-1_51KZP_2021-06-28_final
2021-07-01 11:23:36	ga_s2bm_ard_3-2-1_51KZR_2021-07-01_final
2021-07-04 11:33:25	ga_s2bm_ard_3-2-1_51KXS_2021-07-04_final
2021-07-24 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2021-07-24_final
2021-07-24 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2021-07-24_final
2021-08-16 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2021-08-16_final
2021-08-26 11:45:59	ga_s2bm_ard_3-2-1_50JNN_2021-08-26_final
2021-08-30 11:23:18	ga_s2bm_ard_3-2-1_51KZS_2021-08-30_final
2021-10-05 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2021-10-05_final
2021-10-05 11:44:51	ga_s2bm_ard_3-2-1_51JUL_2021-10-05_final
2021-10-06 11:13:55	ga_s2bm_ard_3-2-1_52KBV_2021-10-06_final
2021-10-29 11:24:06	ga_s2bm_ard_3-2-1_51KZP_2021-10-29_final
2021-10-30 10:55:40	ga_s2bm_ard_3-2-1_53JKG_2021-10-30_final
2022-01-20 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2022-01-20_final
2022-03-01 11:32:08	ga_s2bm_ard_3-2-1_51KYB_2022-03-01_final
2022-04-15 10:45:43	ga_s2bm_ard_3-2-1_52JGM_2022-04-15_final
2022-06-26 11:23:15	ga_s2bm_ard_3-2-1_51KYT_2022-06-26_final
2022-07-10 11:03:39	ga_s2bm_ard_3-2-1_52KEA_2022-07-10_final
2022-07-20 11:03:25	ga_s2bm_ard_3-2-1_52KEB_2022-07-20_final
2022-07-26 11:23:18	ga_s2bm_ard_3-2-1_51KXT_2022-07-26_final
2022-08-21 11:43:05	ga_s2bm_ard_3-2-1_51KTU_2022-08-21_final
2022-09-27 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2022-09-27_final.stac-item
2022-10-01 11:10:32	ga_s2bm_ard_3-2-1_52LFN_2022-10-01_final.stac-item
2022-10-07 11:34:08	ga_s2bm_ard_3-2-1_51KWP_2022-10-07_final.stac-item
2022-11-19 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2022-11-19_final.stac-item
2022-12-10 11:13:51	ga_s2bm_ard_3-2-1_51KZQ_2022-12-10_final.stac-item
2022-12-16 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2022-12-16_final.stac-item
2022-12-27 11:03:32	ga_s2bm_ard_3-2-1_52KHV_2022-12-27_final.stac-item
2023-01-08 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2023-01-08_final.stac-item
2023-03-11 10:44:10	ga_s2bm_ard_3-2-1_53JNN_2023-03-11_final.stac-item
2023-03-25 12:04:42	ga_s2bm_ard_3-2-1_50JLT_2023-03-25_final.stac-item
2023-05-04 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-05-04_final.stac-item
2023-05-26 11:06:04	ga_s2bm_ard_3-2-1_52JEL_2023-05-26_final.stac-item
2023-08-18 10:46:07	ga_s2bm_ard_3-2-1_53JLF_2023-08-18_final.stac-item
2023-08-23 11:33:26	ga_s2bm_ard_3-2-1_51KUT_2023-08-23_final.stac-item
2023-08-27 11:13:49	ga_s2bm_ard_3-2-1_52KEV_2023-08-27_final.stac-item
2024-01-13 11:43:22	ga_s2bm_ard_3-2-1_51KUS_2024-01-13_final.stac-item
2024-03-25 10:44:21	ga_s2bm_ard_3-2-1_53JNM_2024-03-25_final.stac-item
2024-04-20 11:00:31	ga_s2bm_ard_3-2-1_52LHN_2024-04-20_final.stac-item
2024-04-26 11:23:05	ga_s2bm_ard_3-2-1_51KZT_2024-04-26_final.stac-item
2024-05-05 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2024-05-05_final.stac-item
2024-05-11 10:34:26	ga_s2bm_ard_3-2-1_53JNM_2024-05-11_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