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
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52KDE_2017-12-06_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KWQ_2018-01-21_final
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_52LGJ_2018-01-25_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_52KBC_2018-01-28_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_50JQM_2018-01-31_final
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HLH_2018-02-03_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HQJ_2018-03-15_final
2018-03-30 10:47:20	ga_s2bm_ard_3-2-1_52KHC_2018-03-30_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50HPH_2018-04-11_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HMH_2018-07-03_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_50KNB_2018-07-19_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51HUE_2018-08-09_final
2018-09-02 11:14:34	ga_s2bm_ard_3-2-1_51HYD_2018-09-02_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50JPL_2018-10-01_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_51KUR_2018-10-11_final
2019-03-23 11:53:39	ga_s2bm_ard_3-2-1_50KNB_2019-03-23_final
2019-03-25 10:56:04	ga_s2bm_ard_3-2-1_52JEL_2019-03-25_final
2019-04-26 11:33:05	ga_s2bm_ard_3-2-1_51KWU_2019-04-26_final
2019-04-26 11:36:21	ga_s2bm_ard_3-2-1_51JUF_2019-04-26_final
2019-06-08 11:46:23	ga_s2bm_ard_3-2-1_50JQL_2019-06-08_final
2019-10-20 11:25:29	ga_s2bm_ard_3-2-1_51JWJ_2019-10-20_final
2020-01-11 11:34:56	ga_s2bm_ard_3-2-1_51JUL_2020-01-11_final
2020-02-04 11:16:16	ga_s2bm_ard_3-2-1_51HYE_2020-02-04_final
2020-09-10 11:46:22	ga_s2bm_ard_3-2-1_50JPL_2020-09-10_final
2020-10-19 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2020-10-19_final
2020-10-20 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2020-10-20_final
2020-11-06 11:36:25	ga_s2bm_ard_3-2-1_51HVE_2020-11-06_final
2020-12-21 10:45:56	ga_s2bm_ard_3-2-1_52JGL_2020-12-21_final
2021-02-10 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2021-02-10_final.stac-item
2021-02-12 10:54:10	ga_s2bm_ard_3-2-1_52JHT_2021-02-12_final
2021-03-02 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2021-03-02_final
2021-03-17 11:03:19	ga_s2bm_ard_3-2-1_52KEB_2021-03-17_final
2021-03-23 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2021-03-23_final
2021-05-28 11:41:19	ga_s2bm_ard_3-2-1_51LUF_2021-05-28_final
2021-06-03 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2021-06-03_final
2021-06-04 11:32:37	ga_s2bm_ard_3-2-1_51KYV_2021-06-04_final
2021-06-22 10:54:01	ga_s2bm_ard_3-2-1_52KGU_2021-06-22_final
2021-07-20 11:56:24	ga_s2bm_ard_3-2-1_50JML_2021-07-20_final
2021-07-25 11:05:24	ga_s2bm_ard_3-2-1_52JCP_2021-07-25_final
2021-07-30 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2021-07-30_final
2021-08-26 11:45:59	ga_s2bm_ard_3-2-1_50JNN_2021-08-26_final
2021-09-09 11:23:18	ga_s2bm_ard_3-2-1_51KZS_2021-09-09_final
2021-09-12 11:35:12	ga_s2bm_ard_3-2-1_51JUK_2021-09-12_final
2021-10-09 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2021-10-09_final
2021-10-18 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2021-10-18_final
2021-10-31 10:26:42	ga_s2bm_ard_3-2-1_53HNC_2021-10-31_final
2021-11-15 11:16:42	ga_s2bm_ard_3-2-1_51HWD_2021-11-15_final
2021-11-22 11:04:54	ga_s2bm_ard_3-2-1_52JFQ_2021-11-22_final
2021-11-25 11:15:18	ga_s2bm_ard_3-2-1_52JBP_2021-11-25_final
2022-01-20 11:34:32	ga_s2bm_ard_3-2-1_50JRT_2022-01-20_final
2022-02-18 12:04:12	ga_s2bm_ard_3-2-1_49KGQ_2022-02-18_final
2022-02-18 12:06:03	ga_s2bm_ard_3-2-1_50JKM_2022-02-18_final
2022-03-01 11:32:01	ga_s2bm_ard_3-2-1_51KYB_2022-03-01_final
2022-03-28 11:25:57	ga_s2bm_ard_3-2-1_51JVG_2022-03-28_final
2022-06-01 12:13:48	ga_s2bm_ard_3-2-1_49KHR_2022-06-01_final
2022-06-03 11:13:44	ga_s2bm_ard_3-2-1_52KEV_2022-06-03_final
2022-06-16 11:27:11	ga_s2bm_ard_3-2-1_51HTC_2022-06-16_final
2022-06-26 11:22:53	ga_s2bm_ard_3-2-1_52KCD_2022-06-26_final
2022-08-08 11:34:15	ga_s2bm_ard_3-2-1_51KWP_2022-08-08_final
2022-08-28 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2022-08-28_final
2022-09-01 11:13:23	ga_s2bm_ard_3-2-1_52KCB_2022-09-01_final.stac-item
2022-09-04 11:25:47	ga_s2bm_ard_3-2-1_51JVH_2022-09-04_final.stac-item
2022-10-01 11:12:02	ga_s2bm_ard_3-2-1_52KEG_2022-10-01_final.stac-item
2022-10-01 11:13:39	ga_s2bm_ard_3-2-1_51KZR_2022-10-01_final.stac-item
2022-10-06 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2022-10-06_final.stac-item
2022-10-11 11:14:40	ga_s2bm_ard_3-2-1_51JYM_2022-10-11_final.stac-item
2022-11-26 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2022-11-26_final.stac-item
2022-12-06 11:32:59	ga_s2bm_ard_3-2-1_51KYT_2022-12-06_final.stac-item
2022-12-06 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2022-12-06_final.stac-item
2022-12-06 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2022-12-06_final.stac-item
2022-12-27 11:01:31	ga_s2bm_ard_3-2-1_52LGJ_2022-12-27_final.stac-item
2023-01-02 11:24:03	ga_s2bm_ard_3-2-1_52KBU_2023-01-02_final.stac-item
2023-01-16 11:00:41	ga_s2bm_ard_3-2-1_52LHM_2023-01-16_final.stac-item
2023-01-24 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2023-01-24_final.stac-item
2023-01-28 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2023-01-28_final.stac-item
2023-02-10 11:57:11	ga_s2bm_ard_3-2-1_50HKH_2023-02-10_nrt.stac-item
2023-03-06 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2023-03-06_final.stac-item
2023-03-23 11:26:24	ga_s2bm_ard_3-2-1_51HXE_2023-03-23_final.stac-item
2023-03-26 11:34:57	ga_s2bm_ard_3-2-1_51JWL_2023-03-26_final.stac-item
2023-03-26 11:36:31	ga_s2bm_ard_3-2-1_51HUE_2023-03-26_final.stac-item
2023-03-28 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2023-03-28_final.stac-item
2023-03-30 11:15:03	ga_s2bm_ard_3-2-1_52JDQ_2023-03-30_final.stac-item
2023-04-09 11:14:25	ga_s2bm_ard_3-2-1_51JZN_2023-04-09_final.stac-item
2023-05-02 11:23:16	ga_s2bm_ard_3-2-1_51KXT_2023-05-02_final.stac-item
2023-06-01 11:26:00	ga_s2bm_ard_3-2-1_51JWG_2023-06-01_final.stac-item
2023-06-27 11:43:19	ga_s2bm_ard_3-2-1_51KUT_2023-06-27_final.stac-item
2023-06-27 11:43:29	ga_s2bm_ard_3-2-1_51KVS_2023-06-27_final.stac-item
2023-07-07 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-07-07_final.stac-item
2023-08-03 11:36:15	ga_s2bm_ard_3-2-1_51JVF_2023-08-03_final.stac-item
2023-08-12 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2023-08-12_final.stac-item
2023-08-16 11:43:35	ga_s2bm_ard_3-2-1_51KUS_2023-08-16_final.stac-item
2023-09-14 10:36:31	ga_s2bm_ard_3-2-1_53HLD_2023-09-14_final.stac-item
2023-11-09 10:53:48	ga_s2bm_ard_3-2-1_52KGV_2023-11-09_final.stac-item
2023-11-18 11:23:33	ga_s2bm_ard_3-2-1_52KBA_2023-11-18_final.stac-item
2024-02-06 11:26:39	ga_s2bm_ard_3-2-1_51HWD_2024-02-06_final.stac-item
2024-02-22 11:42:22	ga_s2bm_ard_3-2-1_51KWA_2024-02-22_final.stac-item
2024-02-25 11:55:49	ga_s2bm_ard_3-2-1_50JNN_2024-02-25_final.stac-item
2024-03-07 11:22:50	ga_s2bm_ard_3-2-1_51KYU_2024-03-07_final.stac-item
2024-05-02 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2024-05-02_final.stac-item
2024-05-28 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2024-05-28_nrt.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