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
2017-08-23 12:04:38	ga_s2bm_ard_3-2-1_50JMS_2017-08-23_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49JGM_2017-11-21_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JYJ_2017-12-29_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KXT_2018-01-28_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KVR_2018-01-31_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JET_2018-02-01_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_52KBE_2018-02-17_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JTK_2018-02-20_final
2018-05-25 11:09:09	ga_s2bm_ard_3-2-1_52KBA_2018-05-25_final
2018-05-31 11:27:22	ga_s2bm_ard_3-2-1_51KWU_2018-05-31_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_52JBS_2018-10-05_final
2018-10-09 11:00:38	ga_s2bm_ard_3-2-1_52HBK_2018-10-09_final
2018-10-12 11:11:18	ga_s2bm_ard_3-2-1_52KDA_2018-10-12_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51KXS_2018-10-15_final
2018-11-10 11:45:27	ga_s2bm_ard_3-2-1_51JTJ_2018-11-10_final
2019-01-26 11:31:49	ga_s2bm_ard_3-2-1_51LZC_2019-01-26_final
2019-01-27 11:04:47	ga_s2bm_ard_3-2-1_52JER_2019-01-27_final
2019-03-06 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2019-03-06_final
2019-03-17 11:31:37	ga_s2bm_ard_3-2-1_51LYD_2019-03-17_final
2019-05-22 11:55:58	ga_s2bm_ard_3-2-1_50JNN_2019-05-22_final
2019-06-21 11:54:01	ga_s2bm_ard_3-2-1_50KNA_2019-06-21_final
2019-07-13 10:56:09	ga_s2bm_ard_3-2-1_52JFL_2019-07-13_final
2019-07-15 11:33:11	ga_s2bm_ard_3-2-1_51KYT_2019-07-15_final
2019-07-30 10:46:08	ga_s2bm_ard_3-2-1_52JGL_2019-07-30_final
2019-08-17 11:46:36	ga_s2bm_ard_3-2-1_50HQK_2019-08-17_final
2019-08-30 11:56:08	ga_s2bm_ard_3-2-1_50JNM_2019-08-30_final
2019-09-07 11:16:46	ga_s2bm_ard_3-2-1_51HWD_2019-09-07_final
2019-11-03 11:03:35	ga_s2bm_ard_3-2-1_52KEA_2019-11-03_final
2019-12-30 10:54:16	ga_s2bm_ard_3-2-1_52JFT_2019-12-30_final
2020-01-15 11:16:17	ga_s2bm_ard_3-2-1_51HYE_2020-01-15_final
2020-01-18 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2020-01-18_final
2020-02-24 11:15:50	ga_s2bm_ard_3-2-1_51JYG_2020-02-24_final
2020-03-01 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2020-03-01_final
2020-03-14 11:45:34	ga_s2bm_ard_3-2-1_50JPP_2020-03-14_final
2020-04-20 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2020-04-20_final
2020-04-20 11:35:03	ga_s2bm_ard_3-2-1_51JWK_2020-04-20_final
2020-06-20 11:06:12	ga_s2bm_ard_3-2-1_52JBL_2020-06-20_final
2020-07-28 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2020-07-28_final
2020-10-11 11:15:51	ga_s2bm_ard_3-2-1_52JCM_2020-10-11_final
2020-10-30 11:42:45	ga_s2bm_ard_3-2-1_51KVV_2020-10-30_final
2020-12-09 11:44:11	ga_s2bm_ard_3-2-1_51KUP_2020-12-09_final
2020-12-11 10:45:44	ga_s2bm_ard_3-2-1_52JGM_2020-12-11_final
2021-02-07 11:44:30	ga_s2bm_ard_3-2-1_51JTN_2021-02-07_final
2021-03-02 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2021-03-02_final
2021-03-05 12:05:07	ga_s2bm_ard_3-2-1_49JFM_2021-03-05_final
2021-04-02 11:23:08	ga_s2bm_ard_3-2-1_51KYT_2021-04-02_final
2021-05-15 11:35:55	ga_s2bm_ard_3-2-1_51JVG_2021-05-15_final
2021-07-21 11:25:30	ga_s2bm_ard_3-2-1_51JWJ_2021-07-21_final
2021-08-24 11:06:09	ga_s2bm_ard_3-2-1_52JBL_2021-08-24_final
2021-08-26 11:45:59	ga_s2bm_ard_3-2-1_50JNM_2021-08-26_final
2021-09-02 11:36:25	ga_s2bm_ard_3-2-1_51HUE_2021-09-02_final
2021-10-12 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2021-10-12_final
2021-10-25 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-10-25_final
2021-10-26 11:15:44	ga_s2bm_ard_3-2-1_51JXH_2021-10-26_final
2021-10-26 11:16:21	ga_s2bm_ard_3-2-1_52HBK_2021-10-26_final
2021-11-19 10:56:01	ga_s2bm_ard_3-2-1_52JEL_2021-11-19_final
2021-12-08 11:24:38	ga_s2bm_ard_3-2-1_52JBR_2021-12-08_final
2022-01-07 11:22:18	ga_s2bm_ard_3-2-1_52KBF_2022-01-07_final
2022-01-23 11:44:08	ga_s2bm_ard_3-2-1_51KUP_2022-01-23_final
2022-01-24 11:14:03	ga_s2bm_ard_3-2-1_51KZP_2022-01-24_final
2022-01-24 11:15:56	ga_s2bm_ard_3-2-1_52JCL_2022-01-24_final
2022-02-12 11:45:59	ga_s2bm_ard_3-2-1_50JPM_2022-02-12_final
2022-02-18 12:04:00	ga_s2bm_ard_3-2-1_50KMV_2022-02-18_final
2022-03-01 11:33:05	ga_s2bm_ard_3-2-1_51KXT_2022-03-01_final.stac-item
2022-04-17 11:26:25	ga_s2bm_ard_3-2-1_51HVE_2022-04-17_final
2022-04-26 11:55:18	ga_s2bm_ard_3-2-1_50JMQ_2022-04-26_final
2022-05-03 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2022-05-03_final
2022-05-13 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2022-05-13_final
2022-05-22 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2022-05-22_final
2022-06-07 10:54:16	ga_s2bm_ard_3-2-1_52JGT_2022-06-07_final
2022-08-08 11:32:59	ga_s2bm_ard_3-2-1_51KXU_2022-08-08_final
2022-09-07 11:36:33	ga_s2bm_ard_3-2-1_51HTE_2022-09-07_final.stac-item
2022-09-10 11:42:23	ga_s2bm_ard_3-2-1_51KWA_2022-09-10_final.stac-item
2022-10-27 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2022-10-27_final.stac-item
2022-10-28 11:04:10	ga_s2bm_ard_3-2-1_52JGT_2022-10-28_final.stac-item
2022-11-06 11:36:25	ga_s2bm_ard_3-2-1_50JPL_2022-11-06_final.stac-item
2022-11-20 11:12:03	ga_s2bm_ard_3-2-1_52KEG_2022-11-20_final.stac-item
2022-11-27 11:06:03	ga_s2bm_ard_3-2-1_52JDL_2022-11-27_final.stac-item
2022-12-23 11:23:05	ga_s2bm_ard_3-2-1_52KBC_2022-12-23_final.stac-item
2023-02-15 11:06:01	ga_s2bm_ard_3-2-1_52JDL_2023-02-15_final.stac-item
2023-02-18 11:13:32	ga_s2bm_ard_3-2-1_52KDA_2023-02-18_final.stac-item
2023-02-24 11:34:58	ga_s2bm_ard_3-2-1_51JVL_2023-02-24_final.stac-item
2023-05-31 11:55:50	ga_s2bm_ard_3-2-1_50JKP_2023-05-31_final.stac-item
2023-07-31 11:24:20	ga_s2bm_ard_3-2-1_51KWP_2023-07-31_final.stac-item
2023-08-04 11:05:42	ga_s2bm_ard_3-2-1_52JCN_2023-08-04_final.stac-item
2023-08-13 11:36:52	ga_s2bm_ard_3-2-1_51HTD_2023-08-13_final.stac-item
2023-09-05 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2023-09-05_final.stac-item
2023-10-09 11:26:16	ga_s2bm_ard_3-2-1_51JVF_2023-10-09_final.stac-item
2023-10-28 11:54:35	ga_s2bm_ard_3-2-1_50KLU_2023-10-28_final.stac-item
2023-11-10 12:04:44	ga_s2bm_ard_3-2-1_50JKT_2023-11-10_final.stac-item
2023-11-11 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2023-11-11_final.stac-item
2023-11-12 11:03:47	ga_s2bm_ard_3-2-1_52KFV_2023-11-12_final.stac-item
2023-11-12 11:05:46	ga_s2bm_ard_3-2-1_52JEM_2023-11-12_final.stac-item
2023-11-15 11:16:20	ga_s2bm_ard_3-2-1_52HBK_2023-11-15_final.stac-item
2023-11-25 11:15:06	ga_s2bm_ard_3-2-1_51JYK_2023-11-25_final.stac-item
2023-12-08 11:22:23	ga_s2bm_ard_3-2-1_51KYA_2023-12-08_final.stac-item
2024-01-01 11:03:54	ga_s2bm_ard_3-2-1_52KDV_2024-01-01_final.stac-item
2024-01-27 11:23:05	ga_s2bm_ard_3-2-1_51KZT_2024-01-27_final.stac-item
2024-03-04 11:12:42	ga_s2bm_ard_3-2-1_52KED_2024-03-04_final.stac-item
2024-03-14 11:16:05	ga_s2bm_ard_3-2-1_51JYF_2024-03-14_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