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
2017-07-07 10:32:11	ga_s2bm_ard_3-2-1_53JQM_2017-07-07_final
2017-07-07 10:32:11	ga_s2bm_ard_3-2-1_53JQN_2017-07-07_final
2017-10-21 10:47:11	ga_s2bm_ard_3-2-1_53LNG_2017-10-21_final
2017-10-22 10:23:14	ga_s2bm_ard_3-2-1_54HTG_2017-10-22_final
2017-10-31 10:47:11	ga_s2bm_ard_3-2-1_53LPE_2017-10-31_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51JVL_2018-01-28_final
2018-04-23 10:27:06	ga_s2bm_ard_3-2-1_53JNF_2018-04-23_final
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HNJ_2018-06-03_final
2018-06-15 10:37:25	ga_s2bm_ard_3-2-1_53JNN_2018-06-15_final
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_52KCC_2018-06-27_final
2018-06-30 11:27:56	ga_s2bm_ard_3-2-1_51KXT_2018-06-30_final
2018-11-01 11:08:37	ga_s2bm_ard_3-2-1_52LGN_2018-11-01_final
2018-11-02 10:43:08	ga_s2bm_ard_3-2-1_53JKG_2018-11-02_final
2018-11-27 11:33:12	ga_s2bm_ard_3-2-1_51KVT_2018-11-27_final
2018-12-22 10:46:01	ga_s2bm_ard_3-2-1_53HME_2018-12-22_final
2018-12-27 11:32:43	ga_s2bm_ard_3-2-1_51KVV_2018-12-27_final
2019-01-05 10:26:45	ga_s2bm_ard_3-2-1_53HQB_2019-01-05_final
2019-02-15 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2019-02-15_final
2019-02-15 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2019-02-15_final
2019-02-25 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2019-02-25_final
2019-05-16 11:36:35	ga_s2bm_ard_3-2-1_50JPL_2019-05-16_final
2019-05-23 11:26:56	ga_s2bm_ard_3-2-1_51HUD_2019-05-23_final
2019-08-11 11:26:47	ga_s2bm_ard_3-2-1_51HWD_2019-08-11_final
2019-08-16 10:33:59	ga_s2bm_ard_3-2-1_53KPP_2019-08-16_final
2019-09-02 10:24:22	ga_s2bm_ard_3-2-1_53JRM_2019-09-02_final
2019-09-05 10:34:21	ga_s2bm_ard_3-2-1_53JQM_2019-09-05_final
2019-09-18 10:44:05	ga_s2bm_ard_3-2-1_53JNN_2019-09-18_final
2019-11-09 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2019-11-09_final
2019-12-31 10:24:14	ga_s2bm_ard_3-2-1_53JRM_2019-12-31_final
2020-01-19 10:55:39	ga_s2bm_ard_3-2-1_52JFM_2020-01-19_final
2020-01-23 10:34:11	ga_s2bm_ard_3-2-1_53JQM_2020-01-23_final
2020-02-23 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2020-02-23_final.stac-item
2020-02-24 11:11:31	ga_s2bm_ard_3-2-1_52LEJ_2020-02-24_final
2020-02-28 10:50:36	ga_s2bm_ard_3-2-1_53LNG_2020-02-28_final
2020-03-15 11:16:35	ga_s2bm_ard_3-2-1_51HYD_2020-03-15_final
2020-03-23 10:34:16	ga_s2bm_ard_3-2-1_53JQM_2020-03-23_final
2020-04-10 09:57:08	ga_s2bm_ard_3-2-1_54HXE_2020-04-10_final
2020-04-21 11:04:42	ga_s2bm_ard_3-2-1_52JER_2020-04-21_final
2020-05-10 09:57:35	ga_s2bm_ard_3-2-1_54HYC_2020-05-10_final
2020-05-17 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2020-05-17_final
2020-06-11 10:34:28	ga_s2bm_ard_3-2-1_53JNM_2020-06-11_final
2020-06-29 11:33:33	ga_s2bm_ard_3-2-1_51KVS_2020-06-29_final
2020-07-30 11:03:22	ga_s2bm_ard_3-2-1_52KEB_2020-07-30_final
2020-08-20 10:36:20	ga_s2bm_ard_3-2-1_53HLE_2020-08-20_final
2020-08-20 10:36:21	ga_s2bm_ard_3-2-1_53HPD_2020-08-20_final
2020-08-22 11:16:44	ga_s2bm_ard_3-2-1_51HXD_2020-08-22_final
2020-09-22 10:44:09	ga_s2bm_ard_3-2-1_53JNN_2020-09-22_final
2020-11-06 11:33:58	ga_s2bm_ard_3-2-1_51KWQ_2020-11-06_final
2020-11-06 11:36:01	ga_s2bm_ard_3-2-1_51JUG_2020-11-06_final
2020-11-07 11:03:04	ga_s2bm_ard_3-2-1_52KFC_2020-11-07_final
2020-12-30 11:11:35	ga_s2bm_ard_3-2-1_52LEJ_2020-12-30_final
2021-02-17 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2021-02-17_final
2021-02-24 09:57:49	ga_s2bm_ard_3-2-1_54HYB_2021-02-24_final
2021-02-24 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2021-02-24_final
2021-03-04 10:55:38	ga_s2bm_ard_3-2-1_53JKG_2021-03-04_final
2021-03-05 12:04:40	ga_s2bm_ard_3-2-1_50JKT_2021-03-05_final
2021-03-14 10:50:41	ga_s2bm_ard_3-2-1_53LMG_2021-03-14_final
2021-03-26 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2021-03-26_final
2021-04-28 11:40:53	ga_s2bm_ard_3-2-1_51LWG_2021-04-28_final.stac-item
2021-05-15 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2021-05-15_final
2021-06-03 10:26:46	ga_s2bm_ard_3-2-1_54HTG_2021-06-03_final
2021-06-26 10:34:00	ga_s2bm_ard_3-2-1_53JRN_2021-06-26_final
2021-07-11 11:23:05	ga_s2bm_ard_3-2-1_52KCC_2021-07-11_final
2021-07-11 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2021-07-11_final
2021-07-17 10:06:55	ga_s2bm_ard_3-2-1_54HXF_2021-07-17_final
2021-08-07 11:13:14	ga_s2bm_ard_3-2-1_52KBC_2021-08-07_final
2021-08-19 10:17:25	ga_s2bm_ard_3-2-1_54HVD_2021-08-19_final
2021-11-17 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2021-11-17_final
2021-11-25 11:11:12	ga_s2bm_ard_3-2-1_52LFK_2021-11-25_final
2022-02-09 11:33:28	ga_s2bm_ard_3-2-1_51KUS_2022-02-09_final
2022-02-19 11:33:32	ga_s2bm_ard_3-2-1_51KXR_2022-02-19_final
2022-03-10 10:26:59	ga_s2bm_ard_3-2-1_53HQA_2022-03-10_final
2022-05-27 11:23:36	ga_s2bm_ard_3-2-1_51KZR_2022-05-27_final
2022-06-28 10:26:52	ga_s2bm_ard_3-2-1_53HQB_2022-06-28_final
2022-07-27 10:52:28	ga_s2bm_ard_3-2-1_53KMV_2022-07-27_final
2022-07-29 11:33:39	ga_s2bm_ard_3-2-1_51KUS_2022-07-29_final
2022-08-15 11:23:16	ga_s2bm_ard_3-2-1_51KXT_2022-08-15_final
2022-08-15 11:23:52	ga_s2bm_ard_3-2-1_52KBV_2022-08-15_final
2022-08-25 11:23:21	ga_s2bm_ard_3-2-1_52KBB_2022-08-25_final
2022-11-02 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2022-11-02_final.stac-item
2022-11-26 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2022-11-26_final.stac-item
2022-12-18 10:35:00	ga_s2bm_ard_3-2-1_53JQJ_2022-12-18_final.stac-item
2023-01-25 11:31:33	ga_s2bm_ard_3-2-1_51LZD_2023-01-25_final.stac-item
2023-02-14 11:33:46	ga_s2bm_ard_3-2-1_51KUR_2023-02-14_final.stac-item
2023-05-10 10:46:01	ga_s2bm_ard_3-2-1_53JKF_2023-05-10_final.stac-item
2023-07-14 11:34:01	ga_s2bm_ard_3-2-1_51KWQ_2023-07-14_final.stac-item
2023-07-16 10:34:30	ga_s2bm_ard_3-2-1_53JNM_2023-07-16_final.stac-item
2023-08-15 10:34:38	ga_s2bm_ard_3-2-1_53JQL_2023-08-15_final.stac-item
2023-08-23 11:33:38	ga_s2bm_ard_3-2-1_51KUS_2023-08-23_final.stac-item
2023-08-27 11:13:59	ga_s2bm_ard_3-2-1_52KBV_2023-08-27_final.stac-item
2023-09-05 11:41:02	ga_s2bm_ard_3-2-1_51LWG_2023-09-05_final.stac-item
2023-11-04 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2023-11-04_final.stac-item
2023-11-18 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2023-11-18_final.stac-item
2023-12-03 10:33:46	ga_s2bm_ard_3-2-1_53KQP_2023-12-03_final.stac-item
2023-12-04 11:41:30	ga_s2bm_ard_3-2-1_51LUE_2023-12-04_final.stac-item
2024-01-07 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2024-01-07_final.stac-item
2024-01-24 11:12:05	ga_s2bm_ard_3-2-1_52KDG_2024-01-24_final.stac-item
2024-02-09 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2024-02-09_final.stac-item
2024-02-22 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2024-02-22_final.stac-item
2024-04-22 11:41:33	ga_s2bm_ard_3-2-1_51LUE_2024-04-22_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