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
2017-08-08 11:12:00	ga_s2bm_ard_3-2-1_52KEB_2017-08-08_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_51KUR_2017-08-27_final
2017-08-28 11:07:07	ga_s2bm_ard_3-2-1_52LFM_2017-08-28_final.stac-item
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HPJ_2017-10-26_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50JQL_2017-10-26_final
2017-12-06 11:07:01	ga_s2bm_ard_3-2-1_52KFF_2017-12-06_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49JHN_2017-12-11_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KWA_2018-01-21_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51KVB_2018-02-03_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51JXL_2018-02-17_final
2018-03-09 11:21:24	ga_s2bm_ard_3-2-1_51KZT_2018-03-09_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51KXS_2018-03-19_final
2018-04-17 11:46:06	ga_s2bm_ard_3-2-1_50KQF_2018-04-17_final.stac-item
2018-04-18 11:23:34	ga_s2bm_ard_3-2-1_51HVC_2018-04-18_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KHR_2018-05-03_final
2018-05-22 10:57:13	ga_s2bm_ard_3-2-1_52KEA_2018-05-22_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49KGQ_2018-06-09_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50KNC_2018-06-29_final
2018-11-01 11:08:37	ga_s2bm_ard_3-2-1_51KZP_2018-11-01_final
2019-01-10 11:13:18	ga_s2bm_ard_3-2-1_52KDB_2019-01-10_final
2019-01-13 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2019-01-13_final
2019-01-17 11:01:31	ga_s2bm_ard_3-2-1_52LGJ_2019-01-17_final
2019-01-26 11:33:38	ga_s2bm_ard_3-2-1_51KXR_2019-01-26_final
2019-02-18 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2019-02-18_final
2019-03-20 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2019-03-20_final
2019-03-30 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2019-03-30_final
2019-04-20 11:13:20	ga_s2bm_ard_3-2-1_52KCB_2019-04-20_final
2019-04-27 11:03:56	ga_s2bm_ard_3-2-1_52KEV_2019-04-27_final
2019-05-09 11:41:41	ga_s2bm_ard_3-2-1_51LUE_2019-05-09_final
2019-05-15 12:04:36	ga_s2bm_ard_3-2-1_50KKU_2019-05-15_final
2019-08-24 11:33:39	ga_s2bm_ard_3-2-1_51KUS_2019-08-24_final
2019-09-24 11:05:22	ga_s2bm_ard_3-2-1_52JCP_2019-09-24_final
2019-10-19 11:53:26	ga_s2bm_ard_3-2-1_50KNC_2019-10-19_final
2019-10-27 11:13:34	ga_s2bm_ard_3-2-1_52KDA_2019-10-27_final
2019-11-06 11:13:30	ga_s2bm_ard_3-2-1_52KEA_2019-11-06_final
2020-01-21 11:36:45	ga_s2bm_ard_3-2-1_50HPJ_2020-01-21_final
2020-02-04 11:13:09	ga_s2bm_ard_3-2-1_52KEB_2020-02-04_final
2020-02-10 11:34:23	ga_s2bm_ard_3-2-1_51JVN_2020-02-10_final
2020-03-21 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2020-03-21_final
2020-04-27 11:24:50	ga_s2bm_ard_3-2-1_51JXL_2020-04-27_final
2020-05-24 11:14:24	ga_s2bm_ard_3-2-1_51JZN_2020-05-24_final
2020-06-16 11:26:38	ga_s2bm_ard_3-2-1_51HXD_2020-06-16_final
2020-06-26 11:26:24	ga_s2bm_ard_3-2-1_51HXE_2020-06-26_final
2020-08-19 11:01:21	ga_s2bm_ard_3-2-1_52LGK_2020-08-19_final
2020-08-27 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2020-08-27_final
2020-09-27 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2020-09-27_final
2020-11-03 11:25:01	ga_s2bm_ard_3-2-1_51JWL_2020-11-03_final
2020-11-26 11:32:29	ga_s2bm_ard_3-2-1_51KWA_2020-11-26_final
2020-11-27 11:03:31	ga_s2bm_ard_3-2-1_52KFA_2020-11-27_final
2020-12-12 11:56:11	ga_s2bm_ard_3-2-1_50JKM_2020-12-12_final
2020-12-28 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2020-12-28_final
2021-01-18 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2021-01-18_final
2021-01-29 11:12:46	ga_s2bm_ard_3-2-1_52KED_2021-01-29_final
2021-01-29 11:13:33	ga_s2bm_ard_3-2-1_52KDA_2021-01-29_final
2021-01-29 11:16:22	ga_s2bm_ard_3-2-1_51HYE_2021-01-29_final
2021-02-05 11:03:01	ga_s2bm_ard_3-2-1_52KFC_2021-02-05_final
2021-03-02 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2021-03-02_final
2021-03-10 11:11:30	ga_s2bm_ard_3-2-1_52LFJ_2021-03-10_final
2021-04-15 11:36:53	ga_s2bm_ard_3-2-1_51HUC_2021-04-15_final
2021-04-25 11:37:12	ga_s2bm_ard_3-2-1_50HQG_2021-04-25_final.stac-item
2021-04-26 11:01:10	ga_s2bm_ard_3-2-1_52LGK_2021-04-26_final
2021-06-13 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2021-06-13_final
2021-07-03 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2021-07-03_final
2021-07-25 11:02:57	ga_s2bm_ard_3-2-1_52KHC_2021-07-25_final
2021-09-06 11:15:18	ga_s2bm_ard_3-2-1_52JBP_2021-09-06_final
2021-11-21 11:33:57	ga_s2bm_ard_3-2-1_51KVQ_2021-11-21_final
2021-12-04 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2021-12-04_final
2022-01-07 11:23:58	ga_s2bm_ard_3-2-1_51KWQ_2022-01-07_final
2022-01-10 11:32:11	ga_s2bm_ard_3-2-1_51KWB_2022-01-10_final
2022-01-14 11:13:11	ga_s2bm_ard_3-2-1_52KEB_2022-01-14_final
2022-02-10 11:05:16	ga_s2bm_ard_3-2-1_52JCP_2022-02-10_final
2022-02-21 12:13:34	ga_s2bm_ard_3-2-1_50KKB_2022-02-21_final
2022-03-11 11:31:40	ga_s2bm_ard_3-2-1_51LXD_2022-03-11_final
2022-03-22 11:00:28	ga_s2bm_ard_3-2-1_52LHN_2022-03-22_final
2022-04-10 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2022-04-10_final
2022-05-14 11:15:06	ga_s2bm_ard_3-2-1_52JBQ_2022-05-14_final
2022-06-25 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2022-06-25_final
2022-07-09 11:34:15	ga_s2bm_ard_3-2-1_51KWP_2022-07-09_final
2022-08-01 11:43:48	ga_s2bm_ard_3-2-1_51KUR_2022-08-01_final
2022-08-20 10:36:26	ga_s2bm_ard_3-2-1_53HMD_2022-08-20_final
2022-09-10 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2022-09-10_final.stac-item
2022-09-27 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2022-09-27_final.stac-item
2022-11-09 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2022-11-09_final.stac-item
2022-12-24 10:52:19	ga_s2bm_ard_3-2-1_52KHF_2022-12-24_final.stac-item
2023-01-29 11:13:13	ga_s2bm_ard_3-2-1_52KEB_2023-01-29_final.stac-item
2023-02-27 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2023-02-27_final.stac-item
2023-03-03 11:23:01	ga_s2bm_ard_3-2-1_51KXU_2023-03-03_final.stac-item
2023-03-20 11:13:11	ga_s2bm_ard_3-2-1_52KCC_2023-03-20_final.stac-item
2023-04-28 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2023-04-28_final.stac-item
2023-05-09 11:12:23	ga_s2bm_ard_3-2-1_52KDF_2023-05-09_final.stac-item
2023-09-12 11:34:18	ga_s2bm_ard_3-2-1_51KVP_2023-09-12_final.stac-item
2023-09-19 11:26:47	ga_s2bm_ard_3-2-1_51HVD_2023-09-19_final.stac-item
2023-10-13 11:03:04	ga_s2bm_ard_3-2-1_52KFC_2023-10-13_final.stac-item
2023-11-01 11:34:18	ga_s2bm_ard_3-2-1_51JXN_2023-11-01_final.stac-item
2023-12-08 11:23:54	ga_s2bm_ard_3-2-1_51KXQ_2023-12-08_final.stac-item
2024-01-01 11:06:30	ga_s2bm_ard_3-2-1_52HBK_2024-01-01_final.stac-item
2024-01-14 11:13:38	ga_s2bm_ard_3-2-1_52KBA_2024-01-14_final.stac-item
2024-02-03 11:13:52	ga_s2bm_ard_3-2-1_51KZQ_2024-02-03_final.stac-item
2024-03-17 11:24:50	ga_s2bm_ard_3-2-1_51JYL_2024-03-17_final.stac-item
2024-03-23 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2024-03-23_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