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
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50HMH_2017-07-18_final
2017-08-08 11:12:00	ga_s2bm_ard_3-2-1_52KBC_2017-08-08_final
2017-11-10 10:53:01	ga_s2bm_ard_3-2-1_52JFS_2017-11-10_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JWJ_2017-12-29_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_52KBV_2017-12-29_final
2018-01-05 11:07:03	ga_s2bm_ard_3-2-1_51HYD_2018-01-05_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_52KCD_2018-01-28_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51HUD_2018-01-31_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_50JQM_2018-02-03_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JUN_2018-02-20_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JNL_2018-07-26_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51KTT_2018-09-21_final
2018-09-25 11:17:51	ga_s2bm_ard_3-2-1_52KBC_2018-09-25_final
2018-11-16 12:03:53	ga_s2bm_ard_3-2-1_50KLA_2018-11-16_final
2018-12-17 11:36:23	ga_s2bm_ard_3-2-1_51HUE_2018-12-17_final
2018-12-17 11:37:01	ga_s2bm_ard_3-2-1_50HPH_2018-12-17_final
2018-12-29 12:15:17	ga_s2bm_ard_3-2-1_49JGK_2018-12-29_final
2018-12-31 11:14:26	ga_s2bm_ard_3-2-1_51JYN_2018-12-31_final
2019-01-27 11:06:03	ga_s2bm_ard_3-2-1_52JDL_2019-01-27_final
2019-02-08 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2019-02-08_final
2019-02-18 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2019-02-18_final
2019-04-15 12:04:33	ga_s2bm_ard_3-2-1_50KKU_2019-04-15_final
2019-06-09 11:15:03	ga_s2bm_ard_3-2-1_51JYL_2019-06-09_final
2019-08-13 12:06:16	ga_s2bm_ard_3-2-1_50JKM_2019-08-13_final
2019-08-14 11:35:51	ga_s2bm_ard_3-2-1_51JUH_2019-08-14_final
2019-09-06 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2019-09-06_final
2019-09-10 11:23:07	ga_s2bm_ard_3-2-1_52KBC_2019-09-10_final
2019-10-06 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2019-10-06_final
2019-11-02 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2019-11-02_final
2019-11-29 11:26:53	ga_s2bm_ard_3-2-1_51HVC_2019-11-29_final
2019-12-09 11:22:55	ga_s2bm_ard_3-2-1_51KXU_2019-12-09_final
2019-12-16 11:15:53	ga_s2bm_ard_3-2-1_52JCL_2019-12-16_final
2019-12-22 11:32:53	ga_s2bm_ard_3-2-1_51KWU_2019-12-22_final
2020-05-07 11:23:08	ga_s2bm_ard_3-2-1_51KYT_2020-05-07_final
2020-05-21 11:06:07	ga_s2bm_ard_3-2-1_52JCL_2020-05-21_final
2020-05-26 11:56:29	ga_s2bm_ard_3-2-1_50JLL_2020-05-26_final
2020-09-01 11:15:57	ga_s2bm_ard_3-2-1_51JYG_2020-09-01_final
2020-09-21 11:14:11	ga_s2bm_ard_3-2-1_51KZP_2020-09-21_final
2020-09-27 11:36:26	ga_s2bm_ard_3-2-1_51HVE_2020-09-27_final
2020-10-04 11:24:36	ga_s2bm_ard_3-2-1_51JZM_2020-10-04_final
2020-10-27 11:34:08	ga_s2bm_ard_3-2-1_51KXP_2020-10-27_final
2020-11-03 11:26:32	ga_s2bm_ard_3-2-1_51HVE_2020-11-03_final
2020-11-04 10:56:06	ga_s2bm_ard_3-2-1_52JEL_2020-11-04_final
2020-12-23 11:22:01	ga_s2bm_ard_3-2-1_52KCG_2020-12-23_final
2020-12-29 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2020-12-29_final
2021-02-03 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2021-02-03_final
2021-02-12 10:55:26	ga_s2bm_ard_3-2-1_52JGN_2021-02-12_final
2021-03-06 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2021-03-06_final
2021-03-16 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2021-03-16_final
2021-06-06 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2021-06-06_final
2021-07-17 11:44:54	ga_s2bm_ard_3-2-1_50JPS_2021-07-17_final
2021-07-28 11:15:31	ga_s2bm_ard_3-2-1_51JXJ_2021-07-28_final
2021-09-12 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2021-09-12_final
2021-10-02 11:36:23	ga_s2bm_ard_3-2-1_51HVE_2021-10-02_final
2021-10-26 11:15:26	ga_s2bm_ard_3-2-1_51JYJ_2021-10-26_final
2021-10-31 12:05:50	ga_s2bm_ard_3-2-1_49JGJ_2021-10-31_final
2021-11-25 11:14:27	ga_s2bm_ard_3-2-1_52JDS_2021-11-25_final
2021-12-08 11:23:20	ga_s2bm_ard_3-2-1_51KYS_2021-12-08_final
2021-12-21 11:36:00	ga_s2bm_ard_3-2-1_50JQM_2021-12-21_final
2022-01-13 11:42:38	ga_s2bm_ard_3-2-1_51KVV_2022-01-13_final
2022-01-16 11:56:25	ga_s2bm_ard_3-2-1_50HNK_2022-01-16_final
2022-01-28 10:55:55	ga_s2bm_ard_3-2-1_52JFL_2022-01-28_final
2022-02-07 10:55:36	ga_s2bm_ard_3-2-1_52JGM_2022-02-07_final
2022-03-01 11:32:10	ga_s2bm_ard_3-2-1_51KXB_2022-03-01_final
2022-03-14 11:41:53	ga_s2bm_ard_3-2-1_51LWC_2022-03-14_final
2022-03-21 11:36:41	ga_s2bm_ard_3-2-1_51HUD_2022-03-21_final
2022-04-27 11:26:08	ga_s2bm_ard_3-2-1_51JVF_2022-04-27_final
2022-05-14 11:13:50	ga_s2bm_ard_3-2-1_52KCV_2022-05-14_final
2022-05-17 11:24:04	ga_s2bm_ard_3-2-1_52KBU_2022-05-17_final
2022-05-24 11:14:09	ga_s2bm_ard_3-2-1_51KZP_2022-05-24_final
2022-05-30 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2022-05-30_final
2022-05-30 11:34:14	ga_s2bm_ard_3-2-1_51KVP_2022-05-30_final
2022-06-15 11:54:37	ga_s2bm_ard_3-2-1_50JPT_2022-06-15_final
2022-08-17 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2022-08-17_final
2022-09-03 11:56:23	ga_s2bm_ard_3-2-1_50JML_2022-09-03_final.stac-item
2022-09-25 10:54:45	ga_s2bm_ard_3-2-1_52JGR_2022-09-25_final.stac-item
2022-10-07 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2022-10-07_final.stac-item
2022-10-24 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2022-10-24_final.stac-item
2022-10-30 11:46:07	ga_s2bm_ard_3-2-1_50JNM_2022-10-30_final.stac-item
2022-11-16 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2022-11-16_final.stac-item
2022-11-23 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2022-11-23_final.stac-item
2023-02-21 11:22:04	ga_s2bm_ard_3-2-1_52KCG_2023-02-21_final.stac-item
2023-03-26 11:35:15	ga_s2bm_ard_3-2-1_51JVK_2023-03-26_final.stac-item
2023-05-24 12:05:56	ga_s2bm_ard_3-2-1_50JLN_2023-05-24_final.stac-item
2023-05-26 11:05:31	ga_s2bm_ard_3-2-1_52JFN_2023-05-26_final.stac-item
2023-06-04 11:31:39	ga_s2bm_ard_3-2-1_51LZD_2023-06-04_final.stac-item
2023-07-14 11:36:36	ga_s2bm_ard_3-2-1_51HTE_2023-07-14_final.stac-item
2023-07-21 11:23:45	ga_s2bm_ard_3-2-1_51KYR_2023-07-21_final.stac-item
2023-07-30 11:55:55	ga_s2bm_ard_3-2-1_50JNN_2023-07-30_final.stac-item
2023-08-09 11:56:19	ga_s2bm_ard_3-2-1_50JKM_2023-08-09_final.stac-item
2023-10-20 10:56:02	ga_s2bm_ard_3-2-1_52JFL_2023-10-20_final.stac-item
2023-11-11 11:33:58	ga_s2bm_ard_3-2-1_51KWQ_2023-11-11_final.stac-item
2024-01-01 11:06:34	ga_s2bm_ard_3-2-1_52HBJ_2024-01-01_nrt.stac-item
2024-01-23 11:42:23	ga_s2bm_ard_3-2-1_51KVA_2024-01-23_final.stac-item
2024-03-01 11:05:46	ga_s2bm_ard_3-2-1_52JDM_2024-03-01_final.stac-item
2024-03-04 11:13:50	ga_s2bm_ard_3-2-1_52KBV_2024-03-04_final.stac-item
2024-03-06 11:53:35	ga_s2bm_ard_3-2-1_50KQA_2024-03-06_final.stac-item
2024-03-08 10:55:25	ga_s2bm_ard_3-2-1_52JFN_2024-03-08_final.stac-item
2024-03-24 11:15:51	ga_s2bm_ard_3-2-1_52JBM_2024-03-24_final.stac-item
2024-04-11 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2024-04-11_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