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_53HME_2017-07-07_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50KMA_2017-11-08_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50JPL_2018-01-11_final
2018-01-12 10:57:07	ga_s2bm_ard_3-2-1_53LLD_2018-01-12_final
2018-02-12 10:31:32	ga_s2bm_ard_3-2-1_53JNN_2018-02-12_final
2018-03-06 11:07:03	ga_s2bm_ard_3-2-1_52LEJ_2018-03-06_final
2018-03-25 10:06:25	ga_s2bm_ard_3-2-1_54HWH_2018-03-25_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KUV_2018-03-25_final
2018-04-09 10:50:37	ga_s2bm_ard_3-2-1_53LPF_2018-04-09_final
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HNJ_2018-06-03_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49JGN_2018-06-09_final
2018-06-17 11:25:19	ga_s2bm_ard_3-2-1_51JUF_2018-06-17_final
2018-07-22 10:31:03	ga_s2bm_ard_3-2-1_53HPD_2018-07-22_final
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_50JPL_2018-09-01_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KXT_2018-10-28_final
2018-11-07 09:58:03	ga_s2bm_ard_3-2-1_54GYA_2018-11-07_final
2018-11-11 11:15:01	ga_s2bm_ard_3-2-1_52JCQ_2018-11-11_final
2018-12-07 09:57:45	ga_s2bm_ard_3-2-1_54HYB_2018-12-07_final
2019-01-09 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2019-01-09_final
2019-02-07 10:34:47	ga_s2bm_ard_3-2-1_53JQK_2019-02-07_final
2019-02-13 10:55:54	ga_s2bm_ard_3-2-1_53JKF_2019-02-13_final
2019-02-19 11:10:43	ga_s2bm_ard_3-2-1_52LGM_2019-02-19_final
2019-05-29 11:43:09	ga_s2bm_ard_3-2-1_51KUU_2019-05-29_final
2019-06-04 10:24:12	ga_s2bm_ard_3-2-1_53JRN_2019-06-04_final
2019-06-07 10:34:47	ga_s2bm_ard_3-2-1_53JNL_2019-06-07_final
2019-06-11 11:56:33	ga_s2bm_ard_3-2-1_50JLL_2019-06-11_final
2019-06-18 10:06:42	ga_s2bm_ard_3-2-1_54HYG_2019-06-18_final
2019-06-28 11:43:08	ga_s2bm_ard_3-2-1_51KUU_2019-06-28_final
2019-08-03 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-08-03_final
2019-08-23 10:24:09	ga_s2bm_ard_3-2-1_53JRN_2019-08-23_final
2019-09-12 10:25:18	ga_s2bm_ard_3-2-1_54JTN_2019-09-12_final
2019-09-13 09:57:51	ga_s2bm_ard_3-2-1_54HYB_2019-09-13_final
2019-09-14 11:03:56	ga_s2bm_ard_3-2-1_52KGU_2019-09-14_final
2019-10-22 10:24:05	ga_s2bm_ard_3-2-1_53JRN_2019-10-22_final
2019-12-02 09:56:05	ga_s2bm_ard_3-2-1_54HYJ_2019-12-02_final
2020-01-09 10:50:48	ga_s2bm_ard_3-2-1_53LNF_2020-01-09_final
2020-01-09 10:51:05	ga_s2bm_ard_3-2-1_53LME_2020-01-09_final
2020-01-31 11:33:23	ga_s2bm_ard_3-2-1_51KVS_2020-01-31_final
2020-02-19 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2020-02-19_final
2020-02-20 11:33:56	ga_s2bm_ard_3-2-1_51KVQ_2020-02-20_final
2020-03-26 10:43:53	ga_s2bm_ard_3-2-1_53KMP_2020-03-26_final
2020-04-08 10:54:19	ga_s2bm_ard_3-2-1_53JLM_2020-04-08_final
2020-05-21 11:05:34	ga_s2bm_ard_3-2-1_52JDN_2020-05-21_final
2020-05-23 10:06:35	ga_s2bm_ard_3-2-1_54HYG_2020-05-23_final
2020-06-01 10:36:52	ga_s2bm_ard_3-2-1_53HNB_2020-06-01_final
2020-06-02 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2020-06-02_final
2020-07-19 11:36:30	ga_s2bm_ard_3-2-1_51HUE_2020-07-19_final
2020-07-22 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2020-07-22_final
2020-09-19 10:35:50	ga_s2bm_ard_3-2-1_53JPF_2020-09-19_final
2020-09-25 10:55:42	ga_s2bm_ard_3-2-1_53JKG_2020-09-25_final
2020-10-06 10:26:19	ga_s2bm_ard_3-2-1_54HTJ_2020-10-06_final
2020-12-19 11:43:25	ga_s2bm_ard_3-2-1_51KUS_2020-12-19_final
2021-01-16 11:06:24	ga_s2bm_ard_3-2-1_52HBK_2021-01-16_final
2021-02-08 11:10:31	ga_s2bm_ard_3-2-1_52LFN_2021-02-08_final.stac-item
2021-02-17 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2021-02-17_final
2021-03-26 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2021-03-26_final
2021-05-02 11:21:20	ga_s2bm_ard_3-2-1_52LBK_2021-05-02_final
2021-05-23 10:50:38	ga_s2bm_ard_3-2-1_53LNG_2021-05-23_final
2021-05-29 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2021-05-29_final
2021-06-04 09:57:46	ga_s2bm_ard_3-2-1_54HWC_2021-06-04_final
2021-06-12 10:52:35	ga_s2bm_ard_3-2-1_53KNU_2021-06-12_final
2021-07-21 11:24:06	ga_s2bm_ard_3-2-1_51KZP_2021-07-21_final
2021-07-31 11:22:28	ga_s2bm_ard_3-2-1_51KYA_2021-07-31_final
2021-08-02 10:26:46	ga_s2bm_ard_3-2-1_54HTG_2021-08-02_final
2021-08-30 11:26:15	ga_s2bm_ard_3-2-1_51JUF_2021-08-30_final
2021-09-22 09:57:24	ga_s2bm_ard_3-2-1_54HXD_2021-09-22_final
2022-03-12 11:01:05	ga_s2bm_ard_3-2-1_52LGL_2022-03-12_final
2022-03-21 11:32:23	ga_s2bm_ard_3-2-1_51KXA_2022-03-21_final
2022-04-02 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2022-04-02_final
2022-04-03 10:07:23	ga_s2bm_ard_3-2-1_54HWD_2022-04-03_final
2022-04-08 10:55:42	ga_s2bm_ard_3-2-1_52JFM_2022-04-08_final
2022-04-14 11:14:05	ga_s2bm_ard_3-2-1_51KZP_2022-04-14_final
2022-04-20 11:34:11	ga_s2bm_ard_3-2-1_51JXN_2022-04-20_final
2022-05-08 10:54:12	ga_s2bm_ard_3-2-1_52JGT_2022-05-08_final
2022-05-10 11:36:31	ga_s2bm_ard_3-2-1_50HQK_2022-05-10_final
2022-07-20 11:03:18	ga_s2bm_ard_3-2-1_52KGB_2022-07-20_final
2022-07-22 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2022-07-22_final
2022-08-02 11:15:26	ga_s2bm_ard_3-2-1_52JBP_2022-08-02_final
2022-11-21 10:42:10	ga_s2bm_ard_3-2-1_53KNA_2022-11-21_final.stac-item
2022-12-16 09:57:06	ga_s2bm_ard_3-2-1_54HYE_2022-12-16_final.stac-item
2022-12-17 11:05:03	ga_s2bm_ard_3-2-1_52JDQ_2022-12-17_final.stac-item
2022-12-23 11:21:23	ga_s2bm_ard_3-2-1_52LBK_2022-12-23_final.stac-item
2023-01-15 09:57:22	ga_s2bm_ard_3-2-1_54HXD_2023-01-15_final.stac-item
2023-02-14 11:32:18	ga_s2bm_ard_3-2-1_51KVB_2023-02-14_final.stac-item
2023-04-02 11:25:07	ga_s2bm_ard_3-2-1_51JVL_2023-04-02_final.stac-item
2023-04-18 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2023-04-18_final.stac-item
2023-06-17 11:43:41	ga_s2bm_ard_3-2-1_50KQB_2023-06-17_final.stac-item
2023-06-29 10:40:45	ga_s2bm_ard_3-2-1_53LPG_2023-06-29_final.stac-item
2023-07-19 10:42:42	ga_s2bm_ard_3-2-1_53KPU_2023-07-19_final.stac-item
2023-08-22 10:26:35	ga_s2bm_ard_3-2-1_54HTH_2023-08-22_final.stac-item
2023-08-29 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2023-08-29_final.stac-item
2023-11-04 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2023-11-04_final.stac-item
2023-11-28 11:22:57	ga_s2bm_ard_3-2-1_51KXU_2023-11-28_final.stac-item
2023-12-03 10:36:25	ga_s2bm_ard_3-2-1_53HLD_2023-12-03_final.stac-item
2023-12-17 11:53:30	ga_s2bm_ard_3-2-1_50KMC_2023-12-17_final.stac-item
2023-12-26 10:46:07	ga_s2bm_ard_3-2-1_53HME_2023-12-26_final.stac-item
2024-01-23 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2024-01-23_final.stac-item
2024-02-13 11:10:23	ga_s2bm_ard_3-2-1_52LHN_2024-02-13_final.stac-item
2024-03-04 11:13:44	ga_s2bm_ard_3-2-1_52KDV_2024-03-04_final.stac-item
2024-03-27 11:23:10	ga_s2bm_ard_3-2-1_51KYT_2024-03-27_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