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
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_50JKN_2017-07-04_final
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49JGN_2017-12-24_final
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_51KYU_2018-01-08_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_50JRS_2018-02-20_final
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51KWT_2018-03-12_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50HNK_2018-06-16_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JNL_2018-07-03_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_50JPL_2018-07-10_final
2018-07-11 11:03:18	ga_s2bm_ard_3-2-1_52JET_2018-07-11_final
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_52KBB_2018-08-16_final
2018-09-15 11:21:46	ga_s2bm_ard_3-2-1_51KZR_2018-09-15_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51HUD_2018-09-18_final
2018-11-04 11:19:36	ga_s2bm_ard_3-2-1_51KXQ_2018-11-04_final
2018-11-04 11:19:36	ga_s2bm_ard_3-2-1_52KBU_2018-11-04_final
2018-11-04 11:25:08	ga_s2bm_ard_3-2-1_51JVF_2018-11-04_final
2018-12-10 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2018-12-10_final
2019-05-08 12:14:35	ga_s2bm_ard_3-2-1_49KGP_2019-05-08_final
2019-05-09 11:42:20	ga_s2bm_ard_3-2-1_51KVB_2019-05-09_final
2019-05-16 11:34:40	ga_s2bm_ard_3-2-1_51JUN_2019-05-16_final
2019-05-28 12:15:04	ga_s2bm_ard_3-2-1_49JGM_2019-05-28_final
2019-08-17 11:43:50	ga_s2bm_ard_3-2-1_51KUR_2019-08-17_final
2019-09-03 11:35:11	ga_s2bm_ard_3-2-1_51JWK_2019-09-03_final
2019-10-13 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2019-10-13_final
2019-12-05 11:42:03	ga_s2bm_ard_3-2-1_51KWB_2019-12-05_final
2019-12-19 11:22:51	ga_s2bm_ard_3-2-1_51KYU_2019-12-19_final
2019-12-22 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2019-12-22_final
2020-02-10 11:33:47	ga_s2bm_ard_3-2-1_51KXQ_2020-02-10_final
2020-03-08 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2020-03-08_final
2020-04-23 11:46:41	ga_s2bm_ard_3-2-1_50HNJ_2020-04-23_final
2020-04-30 11:33:26	ga_s2bm_ard_3-2-1_51KVS_2020-04-30_final
2020-05-13 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2020-05-13_final
2020-06-08 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2020-06-08_final
2020-06-12 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2020-06-12_final
2020-07-22 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2020-07-22_final
2020-08-10 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-08-10_final
2020-08-21 11:42:31	ga_s2bm_ard_3-2-1_51KVA_2020-08-21_final
2020-08-22 11:15:54	ga_s2bm_ard_3-2-1_52JBM_2020-08-22_final
2020-09-17 11:36:07	ga_s2bm_ard_3-2-1_50JQM_2020-09-17_final
2020-10-04 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2020-10-04_final
2020-10-14 11:23:06	ga_s2bm_ard_3-2-1_52KCC_2020-10-14_final
2020-11-03 11:24:04	ga_s2bm_ard_3-2-1_51KWQ_2020-11-03_final
2020-11-19 11:41:59	ga_s2bm_ard_3-2-1_51LVC_2020-11-19_final
2021-02-11 11:25:33	ga_s2bm_ard_3-2-1_51JYH_2021-02-11_final
2021-02-18 11:15:30	ga_s2bm_ard_3-2-1_52JCN_2021-02-18_final
2021-03-05 12:03:58	ga_s2bm_ard_3-2-1_50KKA_2021-03-05_final
2021-03-27 11:05:33	ga_s2bm_ard_3-2-1_52JDN_2021-03-27_final
2021-06-24 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2021-06-24_final
2021-07-14 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2021-07-14_final.stac-item
2021-08-20 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2021-08-20_final
2021-11-01 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2021-11-01_final
2021-11-04 11:44:17	ga_s2bm_ard_3-2-1_50KRU_2021-11-04_final
2022-01-17 11:22:19	ga_s2bm_ard_3-2-1_51KZA_2022-01-17_final
2022-02-15 11:54:52	ga_s2bm_ard_3-2-1_50JLS_2022-02-15_final
2022-02-16 11:23:22	ga_s2bm_ard_3-2-1_51KXS_2022-02-16_final
2022-03-23 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2022-03-23_final
2022-04-19 12:03:15	ga_s2bm_ard_3-2-1_50KNC_2022-04-19_final
2022-04-28 10:55:20	ga_s2bm_ard_3-2-1_52JGN_2022-04-28_final
2022-05-03 11:46:10	ga_s2bm_ard_3-2-1_50JQL_2022-05-03_final
2022-05-04 11:16:03	ga_s2bm_ard_3-2-1_51JYF_2022-05-04_final
2022-05-26 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2022-05-26_final
2022-06-08 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2022-06-08_final
2022-07-03 11:16:49	ga_s2bm_ard_3-2-1_51HWD_2022-07-03_final
2022-08-05 11:23:18	ga_s2bm_ard_3-2-1_51KXT_2022-08-05_final
2022-08-31 11:44:42	ga_s2bm_ard_3-2-1_51JUM_2022-08-31_final
2022-09-07 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2022-09-07_final.stac-item
2022-09-17 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2022-09-17_final.stac-item
2022-12-29 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2022-12-29_final.stac-item
2023-01-24 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2023-01-24_final.stac-item
2023-01-24 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2023-01-24_final.stac-item
2023-02-14 11:33:22	ga_s2bm_ard_3-2-1_51KXS_2023-02-14_final.stac-item
2023-02-24 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2023-02-24_final.stac-item
2023-03-09 11:41:37	ga_s2bm_ard_3-2-1_51LUE_2023-03-09_final.stac-item
2023-03-26 11:33:01	ga_s2bm_ard_3-2-1_51KWU_2023-03-26_final.stac-item
2023-04-01 11:55:24	ga_s2bm_ard_3-2-1_50JNQ_2023-04-01_final.stac-item
2023-04-21 11:53:23	ga_s2bm_ard_3-2-1_50KPC_2023-04-21_final.stac-item
2023-04-25 11:33:11	ga_s2bm_ard_3-2-1_51KXT_2023-04-25_final.stac-item
2023-04-27 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2023-04-27_final.stac-item
2023-05-25 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2023-05-25_final.stac-item
2023-05-25 11:36:15	ga_s2bm_ard_3-2-1_51JVF_2023-05-25_final.stac-item
2023-06-07 11:45:11	ga_s2bm_ard_3-2-1_50JPR_2023-06-07_final.stac-item
2023-06-09 10:46:20	ga_s2bm_ard_3-2-1_52HGK_2023-06-09_final.stac-item
2023-06-11 11:24:09	ga_s2bm_ard_3-2-1_52KBU_2023-06-11_final.stac-item
2023-08-03 11:33:27	ga_s2bm_ard_3-2-1_51KUT_2023-08-03_final.stac-item
2023-09-25 11:43:15	ga_s2bm_ard_3-2-1_51KVT_2023-09-25_final.stac-item
2023-10-12 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2023-10-12_final.stac-item
2023-11-07 11:53:20	ga_s2bm_ard_3-2-1_50KQC_2023-11-07_final.stac-item
2023-12-08 11:26:58	ga_s2bm_ard_3-2-1_51HUC_2023-12-08_final.stac-item
2023-12-11 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2023-12-11_final.stac-item
2023-12-28 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2023-12-28_final.stac-item
2024-01-24 11:13:32	ga_s2bm_ard_3-2-1_52KDA_2024-01-24_final.stac-item
2024-02-03 11:13:31	ga_s2bm_ard_3-2-1_52KDA_2024-02-03_final.stac-item
2024-02-18 12:04:00	ga_s2bm_ard_3-2-1_50KKA_2024-02-18_final.stac-item
2024-03-07 11:26:12	ga_s2bm_ard_3-2-1_51JVF_2024-03-07_final.stac-item
2024-03-08 10:55:51	ga_s2bm_ard_3-2-1_52JGL_2024-03-08_final.stac-item
2024-03-09 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2024-03-09_final.stac-item
2024-03-30 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2024-03-30_final.stac-item
2024-04-16 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2024-04-16_final.stac-item
2024-04-22 11:41:55	ga_s2bm_ard_3-2-1_51LWC_2024-04-22_final.stac-item
2024-05-02 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2024-05-02_final.stac-item
2024-05-06 11:23:36	ga_s2bm_ard_3-2-1_51KZR_2024-05-06_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