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
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KYU_2017-11-12_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KYT_2017-11-22_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KXT_2017-12-12_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KXT_2017-12-22_final
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51KXQ_2018-04-28_final
2018-05-04 11:38:16	ga_s2bm_ard_3-2-1_51KUT_2018-05-04_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51KUV_2018-09-21_final
2018-10-12 11:11:18	ga_s2bm_ard_3-2-1_52KDB_2018-10-12_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JML_2018-10-14_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51KXT_2018-10-15_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KXR_2018-10-28_final
2018-11-04 11:19:36	ga_s2bm_ard_3-2-1_51KXS_2018-11-04_final
2018-11-09 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2018-11-09_final
2018-11-10 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2018-11-10_final
2018-11-14 11:22:39	ga_s2bm_ard_3-2-1_51KYV_2018-11-14_final
2018-11-14 11:22:53	ga_s2bm_ard_3-2-1_51KYU_2018-11-14_final
2018-11-18 11:04:21	ga_s2bm_ard_3-2-1_52JGS_2018-11-18_final
2018-11-28 11:05:34	ga_s2bm_ard_3-2-1_52JFM_2018-11-28_final
2018-12-07 11:32:45	ga_s2bm_ard_3-2-1_51KYU_2018-12-07_final
2018-12-07 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2018-12-07_final
2018-12-10 11:42:40	ga_s2bm_ard_3-2-1_51KUV_2018-12-10_final
2018-12-13 11:52:31	ga_s2bm_ard_3-2-1_50KPF_2018-12-13_final.stac-item
2018-12-14 11:23:58	ga_s2bm_ard_3-2-1_52KBU_2018-12-14_final
2018-12-17 11:33:03	ga_s2bm_ard_3-2-1_51KXT_2018-12-17_final
2019-04-19 11:43:31	ga_s2bm_ard_3-2-1_51KVS_2019-04-19_final
2019-06-25 11:33:21	ga_s2bm_ard_3-2-1_51KWT_2019-06-25_final
2019-07-22 11:23:11	ga_s2bm_ard_3-2-1_52KCC_2019-07-22_final
2019-09-20 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2019-09-20_final
2019-10-07 11:13:20	ga_s2bm_ard_3-2-1_52KDB_2019-10-07_final
2019-10-10 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2019-10-10_final
2019-10-23 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2019-10-23_final
2019-11-09 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2019-11-09_final
2019-11-12 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2019-11-12_final
2019-11-16 11:13:03	ga_s2bm_ard_3-2-1_52KDC_2019-11-16_final
2019-11-19 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2019-11-19_final
2019-11-22 11:32:48	ga_s2bm_ard_3-2-1_51KYU_2019-11-22_final
2019-11-25 11:43:11	ga_s2bm_ard_3-2-1_51KUT_2019-11-25_final
2019-12-09 11:23:15	ga_s2bm_ard_3-2-1_51KZS_2019-12-09_final
2019-12-12 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2019-12-12_final
2019-12-29 11:21:20	ga_s2bm_ard_3-2-1_51LZE_2019-12-29_final
2020-02-01 11:04:07	ga_s2bm_ard_3-2-1_52JFT_2020-02-01_final
2020-02-01 11:04:29	ga_s2bm_ard_3-2-1_52JDS_2020-02-01_final
2020-02-01 11:05:30	ga_s2bm_ard_3-2-1_52JCN_2020-02-01_final
2020-02-14 11:13:55	ga_s2bm_ard_3-2-1_51KZP_2020-02-14_final
2020-02-16 11:52:15	ga_s2bm_ard_3-2-1_50KQG_2020-02-16_final.stac-item
2020-03-11 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2020-03-11_final
2020-03-11 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2020-03-11_final
2020-03-15 11:16:35	ga_s2bm_ard_3-2-1_51HYD_2020-03-15_final
2020-03-31 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2020-03-31_final
2020-04-03 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2020-04-03_final
2020-04-10 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2020-04-10_final
2020-04-20 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2020-04-20_final
2020-06-09 11:33:26	ga_s2bm_ard_3-2-1_51KXS_2020-06-09_final
2020-06-19 11:33:55	ga_s2bm_ard_3-2-1_51KXQ_2020-06-19_final
2020-07-03 11:13:16	ga_s2bm_ard_3-2-1_52KCB_2020-07-03_final
2020-08-18 11:33:27	ga_s2bm_ard_3-2-1_51KXS_2020-08-18_final
2020-09-01 11:13:22	ga_s2bm_ard_3-2-1_52KDB_2020-09-01_final
2020-09-07 11:33:26	ga_s2bm_ard_3-2-1_51KXS_2020-09-07_final
2020-09-14 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2020-09-14_final
2020-09-20 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2020-09-20_final
2020-09-28 11:03:37	ga_s2bm_ard_3-2-1_52KEA_2020-09-28_final
2020-10-07 11:33:27	ga_s2bm_ard_3-2-1_51KXS_2020-10-07_final
2020-11-09 11:41:20	ga_s2bm_ard_3-2-1_51LUF_2020-11-09_final
2020-11-20 11:12:21	ga_s2bm_ard_3-2-1_52KDF_2020-11-20_final
2021-01-22 11:24:22	ga_s2bm_ard_3-2-1_51JYN_2021-01-22_final
2021-03-23 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2021-03-23_final
2021-09-21 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2021-09-21_final
2021-09-30 10:55:45	ga_s2bm_ard_3-2-1_52JFM_2021-09-30_final
2021-10-21 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2021-10-21_final
2021-11-11 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2021-11-11_final
2021-12-11 11:33:47	ga_s2bm_ard_3-2-1_51KXQ_2021-12-11_final
2021-12-19 10:55:43	ga_s2bm_ard_3-2-1_52JGL_2021-12-19_final
2022-01-15 10:45:43	ga_s2bm_ard_3-2-1_52JGM_2022-01-15_final
2022-01-17 11:24:51	ga_s2bm_ard_3-2-1_51JXL_2022-01-17_final
2022-01-19 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2022-01-19_final
2022-01-23 11:40:52	ga_s2bm_ard_3-2-1_51LWG_2022-01-23_final.stac-item
2022-02-04 10:45:41	ga_s2bm_ard_3-2-1_52JGM_2022-02-04_final
2022-02-19 11:33:46	ga_s2bm_ard_3-2-1_51KXQ_2022-02-19_final
2022-05-10 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2022-05-10_final
2022-06-06 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2022-06-06_final
2022-07-03 11:17:04	ga_s2bm_ard_3-2-1_51HWC_2022-07-03_final.stac-item
2022-07-09 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2022-07-09_final
2022-08-15 11:23:31	ga_s2bm_ard_3-2-1_51KXS_2022-08-15_final
2022-10-11 11:14:27	ga_s2bm_ard_3-2-1_51JYN_2022-10-11_final.stac-item
2022-10-27 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2022-10-27_final.stac-item
2022-11-19 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2022-11-19_final.stac-item
2022-12-25 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2022-12-25_final.stac-item
2022-12-30 11:16:15	ga_s2bm_ard_3-2-1_52HCK_2022-12-30_final.stac-item
2023-01-14 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2023-01-14_final.stac-item
2023-04-09 11:14:25	ga_s2bm_ard_3-2-1_51JZN_2023-04-09_final.stac-item
2023-05-22 11:23:33	ga_s2bm_ard_3-2-1_51KXS_2023-05-22_final.stac-item
2023-07-27 11:41:24	ga_s2bm_ard_3-2-1_51LUF_2023-07-27_final.stac-item
2023-10-09 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2023-10-09_final.stac-item
2023-11-01 11:32:57	ga_s2bm_ard_3-2-1_51KXU_2023-11-01_final.stac-item
2023-12-01 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2023-12-01_final.stac-item
2023-12-06 10:45:44	ga_s2bm_ard_3-2-1_52JGM_2023-12-06_final.stac-item
2023-12-08 11:23:25	ga_s2bm_ard_3-2-1_51KXS_2023-12-08_final.stac-item
2023-12-21 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2023-12-21_final.stac-item
2023-12-31 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2023-12-31_final.stac-item
2024-02-02 11:41:33	ga_s2bm_ard_3-2-1_51LUE_2024-02-02_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