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 11:12:47	ga_s2bm_ard_3-2-1_52KDV_2017-07-09_final
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_51KWR_2017-09-03_final
2017-09-27 11:12:00	ga_s2bm_ard_3-2-1_52KBV_2017-09-27_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51KUS_2017-11-05_final
2017-12-13 10:57:04	ga_s2bm_ard_3-2-1_52JDM_2017-12-13_final
2018-02-15 10:37:20	ga_s2bm_ard_3-2-1_53HLD_2018-02-15_final
2018-03-09 11:21:24	ga_s2bm_ard_3-2-1_51KXU_2018-03-09_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JLM_2018-03-21_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51KVR_2018-04-11_final
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52JCN_2018-05-02_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
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51KXQ_2018-07-27_final
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KWS_2018-08-19_final
2018-09-05 11:21:46	ga_s2bm_ard_3-2-1_51KZS_2018-09-05_final
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_51KUS_2018-10-01_final
2018-11-28 11:06:14	ga_s2bm_ard_3-2-1_52HDK_2018-11-28_final.stac-item
2019-01-13 11:23:35	ga_s2bm_ard_3-2-1_51KZR_2019-01-13_final
2019-02-15 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2019-02-15_final
2019-03-14 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2019-03-14_final
2019-04-13 11:23:18	ga_s2bm_ard_3-2-1_51KXT_2019-04-13_final
2019-05-13 11:23:44	ga_s2bm_ard_3-2-1_51KZR_2019-05-13_final
2019-06-26 11:03:25	ga_s2bm_ard_3-2-1_52KFB_2019-06-26_final
2019-07-09 11:15:42	ga_s2bm_ard_3-2-1_52JCN_2019-07-09_final
2019-07-15 11:33:50	ga_s2bm_ard_3-2-1_51KWR_2019-07-15_final
2019-08-18 11:14:00	ga_s2bm_ard_3-2-1_52KBV_2019-08-18_final
2019-11-09 11:23:00	ga_s2bm_ard_3-2-1_51KXU_2019-11-09_final
2019-12-02 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2019-12-02_final
2020-01-18 11:25:59	ga_s2bm_ard_3-2-1_51JUG_2020-01-18_final
2020-02-01 11:01:21	ga_s2bm_ard_3-2-1_52LHJ_2020-02-01_final
2020-02-11 11:00:57	ga_s2bm_ard_3-2-1_52LGL_2020-02-11_final
2020-02-14 11:13:54	ga_s2bm_ard_3-2-1_52KCV_2020-02-14_final
2020-02-24 11:13:10	ga_s2bm_ard_3-2-1_52KBC_2020-02-24_final
2020-03-08 11:23:36	ga_s2bm_ard_3-2-1_52KBA_2020-03-08_final
2020-05-31 11:03:18	ga_s2bm_ard_3-2-1_52KFB_2020-05-31_final
2020-06-12 11:45:09	ga_s2bm_ard_3-2-1_50JPR_2020-06-12_final
2020-07-26 11:26:17	ga_s2bm_ard_3-2-1_51JVF_2020-07-26_final
2020-08-12 11:13:40	ga_s2bm_ard_3-2-1_52KCA_2020-08-12_final
2020-09-24 11:23:45	ga_s2bm_ard_3-2-1_51KXR_2020-09-24_final
2020-10-04 11:26:47	ga_s2bm_ard_3-2-1_51HVD_2020-10-04_final
2020-10-07 11:33:12	ga_s2bm_ard_3-2-1_51KXT_2020-10-07_final
2020-10-17 11:33:52	ga_s2bm_ard_3-2-1_51KUR_2020-10-17_final
2020-10-24 11:23:43	ga_s2bm_ard_3-2-1_51KYR_2020-10-24_final
2020-12-27 11:03:20	ga_s2bm_ard_3-2-1_52KHA_2020-12-27_final
2021-01-05 11:33:51	ga_s2bm_ard_3-2-1_51KXQ_2021-01-05_final
2021-01-12 11:25:45	ga_s2bm_ard_3-2-1_51JVH_2021-01-12_final
2021-01-28 11:41:18	ga_s2bm_ard_3-2-1_51LUF_2021-01-28_final
2021-03-11 10:45:46	ga_s2bm_ard_3-2-1_52JGM_2021-03-11_final
2021-03-13 11:24:43	ga_s2bm_ard_3-2-1_52JBR_2021-03-13_final
2021-03-16 11:33:01	ga_s2bm_ard_3-2-1_51KYT_2021-03-16_final
2021-03-30 11:13:12	ga_s2bm_ard_3-2-1_52KBC_2021-03-30_final
2021-04-02 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2021-04-02_final
2021-04-12 11:23:22	ga_s2bm_ard_3-2-1_51KYS_2021-04-12_final
2021-05-23 10:55:49	ga_s2bm_ard_3-2-1_52JEM_2021-05-23_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
2021-08-10 11:23:36	ga_s2bm_ard_3-2-1_51KZR_2021-08-10_final
2021-08-26 11:41:57	ga_s2bm_ard_3-2-1_51LVC_2021-08-26_final
2021-09-22 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2021-09-22_final
2021-09-22 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2021-09-22_final
2021-09-29 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2021-09-29_final
2021-10-06 11:16:08	ga_s2bm_ard_3-2-1_51JYF_2021-10-06_final
2021-10-12 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2021-10-12_final
2021-10-20 10:55:50	ga_s2bm_ard_3-2-1_52JEM_2021-10-20_final
2021-10-30 10:54:49	ga_s2bm_ard_3-2-1_52JFR_2021-10-30_final
2021-11-08 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2021-11-08_final
2021-11-17 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2021-11-17_final
2021-11-20 12:03:38	ga_s2bm_ard_3-2-1_50KLB_2021-11-20_final
2022-01-13 11:42:38	ga_s2bm_ard_3-2-1_51KVV_2022-01-13_final
2022-02-26 11:23:17	ga_s2bm_ard_3-2-1_51KZS_2022-02-26_final
2022-03-01 11:34:07	ga_s2bm_ard_3-2-1_51KWP_2022-03-01_final
2022-04-02 12:14:04	ga_s2bm_ard_3-2-1_50KKV_2022-04-02_final
2022-05-30 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2022-05-30_final
2022-06-03 11:13:44	ga_s2bm_ard_3-2-1_52KEV_2022-06-03_final
2022-06-19 11:32:44	ga_s2bm_ard_3-2-1_51KXV_2022-06-19_final
2022-06-26 11:23:15	ga_s2bm_ard_3-2-1_51KYT_2022-06-26_final
2022-07-02 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2022-07-02_final
2022-07-10 11:03:39	ga_s2bm_ard_3-2-1_52KEA_2022-07-10_final
2022-07-19 11:32:55	ga_s2bm_ard_3-2-1_51KYU_2022-07-19_final
2022-09-30 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2022-09-30_final.stac-item
2022-10-11 11:14:48	ga_s2bm_ard_3-2-1_52JCR_2022-10-11_final.stac-item
2022-11-06 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2022-11-06_final.stac-item
2022-11-10 11:14:08	ga_s2bm_ard_3-2-1_52KBU_2022-11-10_final.stac-item
2023-01-04 12:03:25	ga_s2bm_ard_3-2-1_50KLC_2023-01-04_final.stac-item
2023-01-05 11:31:03	ga_s2bm_ard_3-2-1_52LBL_2023-01-05_nrt.stac-item
2023-02-13 12:03:24	ga_s2bm_ard_3-2-1_50KLC_2023-02-13_final.stac-item
2023-02-26 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2023-02-26_final.stac-item
2023-04-26 11:00:32	ga_s2bm_ard_3-2-1_52LHN_2023-04-26_final.stac-item
2023-04-29 11:15:17	ga_s2bm_ard_3-2-1_51JYK_2023-04-29_final.stac-item
2023-06-04 11:32:23	ga_s2bm_ard_3-2-1_51KVB_2023-06-04_final.stac-item
2023-07-02 10:54:53	ga_s2bm_ard_3-2-1_52JFR_2023-07-02_final.stac-item
2023-07-17 11:42:33	ga_s2bm_ard_3-2-1_51KVA_2023-07-17_final.stac-item
2023-09-26 12:51:02	ga_s2bm_ard_3-2-1_48LWP_2023-09-26_final.stac-item
2024-02-13 11:11:02	ga_s2bm_ard_3-2-1_52LFL_2024-02-13_final.stac-item
2024-02-21 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2024-02-21_final.stac-item
2024-02-25 11:55:09	ga_s2bm_ard_3-2-1_50JMR_2024-02-25_final.stac-item
2024-03-17 11:21:24	ga_s2bm_ard_3-2-1_51LZE_2024-03-17_final.stac-item
2024-03-17 11:23:05	ga_s2bm_ard_3-2-1_51KZT_2024-03-17_final.stac-item
2024-04-26 11:23:05	ga_s2bm_ard_3-2-1_51KZT_2024-04-26_final.stac-item
2024-05-28 12:04:27	ga_s2bm_ard_3-2-1_49KGP_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