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
2017-07-02 11:26:09	ga_s2bm_ard_3-2-1_51HVE_2017-07-02_final
2017-08-10 11:56:06	ga_s2bm_ard_3-2-1_50JKM_2017-08-10_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JQQ_2017-08-27_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50JKN_2017-09-02_final
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HNH_2017-12-05_final
2017-12-13 10:57:04	ga_s2bm_ard_3-2-1_52JBL_2017-12-13_final
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52JCM_2018-01-12_final
2018-02-14 11:07:05	ga_s2bm_ard_3-2-1_52KCA_2018-02-14_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50JKM_2018-02-19_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JUM_2018-02-20_final
2018-04-25 11:07:11	ga_s2bm_ard_3-2-1_52JBR_2018-04-25_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50JKN_2018-10-24_final
2018-11-01 11:08:37	ga_s2bm_ard_3-2-1_52KDA_2018-11-01_final
2019-01-23 11:25:46	ga_s2bm_ard_3-2-1_51JVH_2019-01-23_final
2019-04-19 11:46:58	ga_s2bm_ard_3-2-1_50HNJ_2019-04-19_final
2019-04-30 11:13:37	ga_s2bm_ard_3-2-1_52KEA_2019-04-30_final
2019-04-30 11:13:59	ga_s2bm_ard_3-2-1_52KCV_2019-04-30_final
2019-06-09 11:16:16	ga_s2bm_ard_3-2-1_51JYF_2019-06-09_final
2019-07-02 11:24:41	ga_s2bm_ard_3-2-1_51JZM_2019-07-02_final
2019-07-12 11:24:28	ga_s2bm_ard_3-2-1_51JZN_2019-07-12_final
2019-07-18 11:43:33	ga_s2bm_ard_3-2-1_51KVS_2019-07-18_final
2020-01-08 11:24:35	ga_s2bm_ard_3-2-1_51JXM_2020-01-08_final
2020-01-18 11:26:41	ga_s2bm_ard_3-2-1_51HUD_2020-01-18_final
2020-02-05 10:46:18	ga_s2bm_ard_3-2-1_53HLD_2020-02-05_final
2020-02-17 11:25:16	ga_s2bm_ard_3-2-1_51JYJ_2020-02-17_final
2020-04-07 11:22:57	ga_s2bm_ard_3-2-1_51KXU_2020-04-07_final
2020-04-07 11:23:54	ga_s2bm_ard_3-2-1_51KXQ_2020-04-07_final
2020-04-19 12:06:05	ga_s2bm_ard_3-2-1_50JKM_2020-04-19_final
2020-04-20 11:34:32	ga_s2bm_ard_3-2-1_50JRT_2020-04-20_final
2020-05-01 11:05:48	ga_s2bm_ard_3-2-1_52JCM_2020-05-01_final
2020-05-10 11:34:05	ga_s2bm_ard_3-2-1_51KXP_2020-05-10_final
2020-05-11 11:04:42	ga_s2bm_ard_3-2-1_52JFR_2020-05-11_final
2020-05-20 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2020-05-20_final
2020-06-16 11:23:03	ga_s2bm_ard_3-2-1_51KXU_2020-06-16_final
2020-07-06 11:23:27	ga_s2bm_ard_3-2-1_51KYS_2020-07-06_final
2020-07-20 11:05:18	ga_s2bm_ard_3-2-1_52JEP_2020-07-20_final
2020-10-20 11:42:31	ga_s2bm_ard_3-2-1_51KVA_2020-10-20_final
2020-11-20 11:15:22	ga_s2bm_ard_3-2-1_52JBP_2020-11-20_final
2020-11-23 11:23:50	ga_s2bm_ard_3-2-1_51KZQ_2020-11-23_final
2020-12-13 11:22:30	ga_s2bm_ard_3-2-1_52KCE_2020-12-13_final
2020-12-17 11:00:40	ga_s2bm_ard_3-2-1_52LHM_2020-12-17_final
2021-01-05 11:33:22	ga_s2bm_ard_3-2-1_51KXS_2021-01-05_final
2021-02-05 11:02:18	ga_s2bm_ard_3-2-1_52KFF_2021-02-05_final
2021-02-09 10:46:23	ga_s2bm_ard_3-2-1_53HLD_2021-02-09_final
2021-02-11 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2021-02-11_final
2021-03-13 11:25:09	ga_s2bm_ard_3-2-1_51JXK_2021-03-13_final
2021-03-27 11:04:35	ga_s2bm_ard_3-2-1_52JDS_2021-03-27_final
2021-05-04 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2021-05-04_final
2021-05-05 11:36:17	ga_s2bm_ard_3-2-1_50JQL_2021-05-05_final
2021-05-14 12:05:36	ga_s2bm_ard_3-2-1_50JLP_2021-05-14_final
2021-05-30 10:46:25	ga_s2bm_ard_3-2-1_53HLD_2021-05-30_final
2021-06-28 11:14:39	ga_s2bm_ard_3-2-1_52JBS_2021-06-28_final
2021-07-17 11:46:02	ga_s2bm_ard_3-2-1_50JPM_2021-07-17_final
2021-07-30 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2021-07-30_final
2021-10-16 11:15:26	ga_s2bm_ard_3-2-1_51JYJ_2021-10-16_final
2021-10-28 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2021-10-28_final
2021-10-31 12:06:16	ga_s2bm_ard_3-2-1_50JKM_2021-10-31_final
2022-02-03 11:12:23	ga_s2bm_ard_3-2-1_52KFE_2022-02-03_final
2022-02-03 11:13:02	ga_s2bm_ard_3-2-1_52KCC_2022-02-03_final
2022-04-30 11:33:21	ga_s2bm_ard_3-2-1_51KWS_2022-04-30_final
2022-04-30 11:34:33	ga_s2bm_ard_3-2-1_51JWM_2022-04-30_final
2022-05-13 11:43:46	ga_s2bm_ard_3-2-1_50KRA_2022-05-13_final
2022-05-13 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2022-05-13_final
2022-05-24 11:14:24	ga_s2bm_ard_3-2-1_52JBT_2022-05-24_final
2022-05-29 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2022-05-29_final
2022-06-08 12:03:35	ga_s2bm_ard_3-2-1_50KNB_2022-06-08_final
2022-06-15 11:56:40	ga_s2bm_ard_3-2-1_50HMK_2022-06-15_final
2022-06-22 11:43:19	ga_s2bm_ard_3-2-1_51KUT_2022-06-22_final
2022-06-26 11:21:52	ga_s2bm_ard_3-2-1_52LDH_2022-06-26_final
2022-07-21 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2022-07-21_final
2022-07-28 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2022-07-28_final
2022-07-30 11:04:40	ga_s2bm_ard_3-2-1_52JGR_2022-07-30_final
2022-09-01 11:13:16	ga_s2bm_ard_3-2-1_52KEB_2022-09-01_final.stac-item
2022-10-01 11:12:31	ga_s2bm_ard_3-2-1_52KEE_2022-10-01_final.stac-item
2022-10-11 11:14:51	ga_s2bm_ard_3-2-1_52JBR_2022-10-11_final.stac-item
2022-10-17 11:36:28	ga_s2bm_ard_3-2-1_51HUE_2022-10-17_final.stac-item
2022-10-28 11:03:48	ga_s2bm_ard_3-2-1_52KEV_2022-10-28_final.stac-item
2022-11-06 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2022-11-06_final.stac-item
2022-11-09 11:46:18	ga_s2bm_ard_3-2-1_50JPL_2022-11-09_final.stac-item
2022-11-22 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2022-11-22_final.stac-item
2022-11-23 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2022-11-23_final.stac-item
2023-01-02 11:22:51	ga_s2bm_ard_3-2-1_51KZU_2023-01-02_final.stac-item
2023-01-05 11:31:19	ga_s2bm_ard_3-2-1_51LZE_2023-01-05_final.stac-item
2023-01-26 11:03:11	ga_s2bm_ard_3-2-1_52KGB_2023-01-26_final.stac-item
2023-02-21 11:22:49	ga_s2bm_ard_3-2-1_52KBD_2023-02-21_final.stac-item
2023-04-26 11:05:32	ga_s2bm_ard_3-2-1_52JEN_2023-04-26_final.stac-item
2023-05-08 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2023-05-08_final.stac-item
2023-06-05 11:01:07	ga_s2bm_ard_3-2-1_52LGL_2023-06-05_final.stac-item
2023-06-07 11:42:18	ga_s2bm_ard_3-2-1_51KVB_2023-06-07_final.stac-item
2023-06-22 10:56:00	ga_s2bm_ard_3-2-1_52JGL_2023-06-22_final.stac-item
2023-11-11 11:33:54	ga_s2bm_ard_3-2-1_51KXQ_2023-11-11_final.stac-item
2023-11-29 10:53:25	ga_s2bm_ard_3-2-1_52KHA_2023-11-29_final.stac-item
2023-12-12 11:06:30	ga_s2bm_ard_3-2-1_52HBJ_2023-12-12_nrt.stac-item
2024-01-21 11:03:04	ga_s2bm_ard_3-2-1_52KEC_2024-01-21_final.stac-item
2024-01-23 11:45:24	ga_s2bm_ard_3-2-1_50JNQ_2024-01-23_final.stac-item
2024-02-20 11:02:51	ga_s2bm_ard_3-2-1_52KFD_2024-02-20_final.stac-item
2024-02-26 11:23:27	ga_s2bm_ard_3-2-1_52KCA_2024-02-26_final.stac-item
2024-03-07 11:21:44	ga_s2bm_ard_3-2-1_52LCH_2024-03-07_final.stac-item
2024-03-11 11:01:42	ga_s2bm_ard_3-2-1_52LGH_2024-03-11_final.stac-item
2024-04-04 10:45:58	ga_s2bm_ard_3-2-1_52JGL_2024-04-04_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