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
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50KQG_2017-12-08_final.stac-item
2018-02-12 10:31:32	ga_s2bm_ard_3-2-1_53KPP_2018-02-12_final
2018-04-03 10:27:04	ga_s2bm_ard_3-2-1_53KPP_2018-04-03_final
2018-05-15 11:07:36	ga_s2bm_ard_3-2-1_52KEB_2018-05-15_final
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KWS_2018-06-10_final
2018-08-14 10:41:41	ga_s2bm_ard_3-2-1_53JKF_2018-08-14_final
2018-12-04 11:23:52	ga_s2bm_ard_3-2-1_51KXQ_2018-12-04_final
2019-01-28 10:34:06	ga_s2bm_ard_3-2-1_53JPN_2019-01-28_final
2019-01-28 10:34:13	ga_s2bm_ard_3-2-1_53JPM_2019-01-28_final
2019-02-05 11:32:51	ga_s2bm_ard_3-2-1_51KYU_2019-02-05_final
2019-02-05 11:33:38	ga_s2bm_ard_3-2-1_51KXR_2019-02-05_final
2019-02-21 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2019-02-21_final
2019-03-29 10:35:54	ga_s2bm_ard_3-2-1_53JNF_2019-03-29_final
2019-04-23 11:23:42	ga_s2bm_ard_3-2-1_51KZR_2019-04-23_final
2019-05-13 11:23:59	ga_s2bm_ard_3-2-1_51KZQ_2019-05-13_final
2019-05-30 11:14:00	ga_s2bm_ard_3-2-1_52KCV_2019-05-30_final
2019-05-31 10:44:36	ga_s2bm_ard_3-2-1_53JPL_2019-05-31_final
2019-06-13 10:56:01	ga_s2bm_ard_3-2-1_53JKF_2019-06-13_final
2019-06-15 11:33:09	ga_s2bm_ard_3-2-1_51KVU_2019-06-15_final
2019-06-25 11:33:10	ga_s2bm_ard_3-2-1_51KYT_2019-06-25_final
2019-07-12 11:23:15	ga_s2bm_ard_3-2-1_52KBC_2019-07-12_final
2019-07-12 11:26:52	ga_s2bm_ard_3-2-1_51HVD_2019-07-12_final
2019-07-22 11:23:29	ga_s2bm_ard_3-2-1_52KBB_2019-07-22_final
2019-08-01 11:23:04	ga_s2bm_ard_3-2-1_51KYU_2019-08-01_final
2019-08-14 11:33:34	ga_s2bm_ard_3-2-1_51KWS_2019-08-14_final
2019-09-23 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2019-09-23_final
2019-11-02 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2019-11-02_final
2019-11-05 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2019-11-05_final
2019-12-06 11:13:24	ga_s2bm_ard_3-2-1_52KEA_2019-12-06_final
2019-12-28 11:54:23	ga_s2bm_ard_3-2-1_50KPU_2019-12-28_final
2020-01-01 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2020-01-01_final
2020-01-12 11:03:14	ga_s2bm_ard_3-2-1_52KEB_2020-01-12_final
2020-02-03 11:42:56	ga_s2bm_ard_3-2-1_51KTU_2020-02-03_final
2020-02-13 11:42:08	ga_s2bm_ard_3-2-1_51KVB_2020-02-13_final
2020-02-21 11:03:31	ga_s2bm_ard_3-2-1_52KEA_2020-02-21_final
2020-03-14 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2020-03-14_final.stac-item
2020-03-21 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2020-03-21_final
2020-04-17 11:23:06	ga_s2bm_ard_3-2-1_51KYT_2020-04-17_final
2020-05-17 11:23:21	ga_s2bm_ard_3-2-1_51KZS_2020-05-17_final
2020-06-23 11:13:10	ga_s2bm_ard_3-2-1_52KCC_2020-06-23_final
2020-08-05 11:23:09	ga_s2bm_ard_3-2-1_52KBC_2020-08-05_final
2020-10-04 11:22:59	ga_s2bm_ard_3-2-1_51KYU_2020-10-04_final
2020-10-09 10:34:25	ga_s2bm_ard_3-2-1_53JPM_2020-10-09_final
2020-10-27 11:33:30	ga_s2bm_ard_3-2-1_51KWS_2020-10-27_final
2021-01-19 11:13:30	ga_s2bm_ard_3-2-1_52KEA_2021-01-19_final
2021-02-04 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2021-02-04_final
2021-02-08 11:10:42	ga_s2bm_ard_3-2-1_52LGM_2021-02-08_final
2021-02-27 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2021-02-27_final
2021-03-23 11:23:20	ga_s2bm_ard_3-2-1_51KZS_2021-03-23_final
2021-04-05 11:33:00	ga_s2bm_ard_3-2-1_51KYT_2021-04-05_final
2021-04-05 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2021-04-05_final
2021-05-12 11:23:05	ga_s2bm_ard_3-2-1_51KZT_2021-05-12_final
2021-05-30 10:44:29	ga_s2bm_ard_3-2-1_53JPL_2021-05-30_final
2021-06-06 10:34:15	ga_s2bm_ard_3-2-1_53JRM_2021-06-06_final
2021-06-08 11:13:55	ga_s2bm_ard_3-2-1_52KBV_2021-06-08_final
2021-07-28 11:11:21	ga_s2bm_ard_3-2-1_52LEK_2021-07-28_final.stac-item
2021-07-28 11:13:21	ga_s2bm_ard_3-2-1_52KDB_2021-07-28_final
2021-07-31 11:25:18	ga_s2bm_ard_3-2-1_51JVK_2021-07-31_final
2021-08-13 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2021-08-13_final
2021-09-01 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2021-09-01_final
2021-10-19 11:23:36	ga_s2bm_ard_3-2-1_52KBA_2021-10-19_final
2021-10-27 10:44:04	ga_s2bm_ard_3-2-1_53JPN_2021-10-27_final
2021-11-07 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2021-11-07_final.stac-item
2022-03-04 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2022-03-04_final
2022-03-15 11:11:17	ga_s2bm_ard_3-2-1_52LEK_2022-03-15_final.stac-item
2022-03-27 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2022-03-27_final.stac-item
2022-06-21 10:36:55	ga_s2bm_ard_3-2-1_53HNB_2022-06-21_final
2022-08-12 11:14:12	ga_s2bm_ard_3-2-1_51KZP_2022-08-12_final
2022-08-18 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2022-08-18_final
2022-08-31 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2022-08-31_final
2022-10-15 10:55:41	ga_s2bm_ard_3-2-1_52JGM_2022-10-15_final.stac-item
2022-10-19 10:34:07	ga_s2bm_ard_3-2-1_53JPN_2022-10-19_final.stac-item
2022-11-20 11:13:54	ga_s2bm_ard_3-2-1_52KBV_2022-11-20_final.stac-item
2022-12-09 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2022-12-09_final.stac-item
2022-12-27 11:02:58	ga_s2bm_ard_3-2-1_52KGC_2022-12-27_final.stac-item
2022-12-30 11:12:16	ga_s2bm_ard_3-2-1_52KEF_2022-12-30_final.stac-item
2023-02-04 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2023-02-04_final.stac-item
2023-03-23 11:23:23	ga_s2bm_ard_3-2-1_51KZS_2023-03-23_final.stac-item
2023-05-04 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-05-04_final.stac-item
2023-05-12 11:23:09	ga_s2bm_ard_3-2-1_52KBC_2023-05-12_final.stac-item
2023-06-06 10:36:15	ga_s2bm_ard_3-2-1_53HME_2023-06-06_final.stac-item
2023-06-14 11:32:55	ga_s2bm_ard_3-2-1_51KYU_2023-06-14_final.stac-item
2023-06-19 10:44:14	ga_s2bm_ard_3-2-1_53JMN_2023-06-19_final.stac-item
2023-07-11 11:23:12	ga_s2bm_ard_3-2-1_51KZT_2023-07-11_final.stac-item
2023-07-11 11:23:54	ga_s2bm_ard_3-2-1_52KBV_2023-07-11_final.stac-item
2023-07-27 11:41:24	ga_s2bm_ard_3-2-1_51LUF_2023-07-27_final.stac-item
2023-08-14 11:03:04	ga_s2bm_ard_3-2-1_52KGC_2023-08-14_final.stac-item
2023-08-23 11:33:32	ga_s2bm_ard_3-2-1_51KWS_2023-08-23_final.stac-item
2023-09-26 11:10:36	ga_s2bm_ard_3-2-1_52LFN_2023-09-26_final.stac-item
2023-10-06 11:13:54	ga_s2bm_ard_3-2-1_52KBV_2023-10-06_final.stac-item
2023-10-12 11:33:15	ga_s2bm_ard_3-2-1_51KWT_2023-10-12_final.stac-item
2023-10-14 10:34:09	ga_s2bm_ard_3-2-1_53JPN_2023-10-14_final.stac-item
2023-10-15 11:41:21	ga_s2bm_ard_3-2-1_51LUF_2023-10-15_final.stac-item
2023-11-20 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2023-11-20_final.stac-item
2023-11-28 11:22:29	ga_s2bm_ard_3-2-1_52KBE_2023-11-28_final.stac-item
2023-12-08 11:26:02	ga_s2bm_ard_3-2-1_51JUG_2023-12-08_final.stac-item
2023-12-13 10:34:05	ga_s2bm_ard_3-2-1_53JPN_2023-12-13_final.stac-item
2024-02-02 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2024-02-02_final.stac-item
2024-04-03 11:12:01	ga_s2bm_ard_3-2-1_52KEG_2024-04-03_final.stac-item
2024-04-28 10:26:46	ga_s2bm_ard_3-2-1_53HQB_2024-04-28_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