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
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51JXH_2017-07-12_final
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_52JBM_2017-08-28_final
2017-09-05 12:14:35	ga_s2bm_ard_3-2-1_49JFM_2017-09-05_final
2017-10-07 11:06:57	ga_s2bm_ard_3-2-1_52LFK_2017-10-07_final
2017-11-06 11:06:59	ga_s2bm_ard_3-2-1_52LHN_2017-11-06_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51KXU_2017-12-09_final
2017-12-13 10:57:04	ga_s2bm_ard_3-2-1_52JCL_2017-12-13_final
2017-12-26 11:07:01	ga_s2bm_ard_3-2-1_52KEG_2017-12-26_final
2017-12-26 11:11:50	ga_s2bm_ard_3-2-1_52KDG_2017-12-26_final
2017-12-26 11:11:50	ga_s2bm_ard_3-2-1_52KDV_2017-12-26_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51KXS_2017-12-29_final
2018-02-11 10:57:09	ga_s2bm_ard_3-2-1_52LHL_2018-02-11_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51KVT_2018-03-05_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51HTC_2018-03-22_final
2018-03-29 11:17:27	ga_s2bm_ard_3-2-1_51KYA_2018-03-29_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KPC_2018-06-06_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51JWJ_2018-06-07_final
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KXQ_2018-07-20_final
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_51KTU_2018-08-02_final
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_51HXD_2018-08-23_final
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HNJ_2018-09-01_final
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_50KKB_2018-09-10_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JGM_2018-10-07_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KVQ_2018-10-18_final
2018-11-07 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2018-11-07_final
2018-12-11 11:10:19	ga_s2bm_ard_3-2-1_52LHN_2018-12-11_final
2019-01-09 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2019-01-09_final
2019-01-16 11:35:07	ga_s2bm_ard_3-2-1_51JWK_2019-01-16_final
2019-01-20 11:13:00	ga_s2bm_ard_3-2-1_52KEC_2019-01-20_final
2019-02-08 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2019-02-08_final
2019-03-17 11:32:49	ga_s2bm_ard_3-2-1_51KYU_2019-03-17_final
2019-05-29 11:46:50	ga_s2bm_ard_3-2-1_50HQJ_2019-05-29_final
2019-06-11 11:53:25	ga_s2bm_ard_3-2-1_50KQC_2019-06-11_final
2019-06-28 11:44:10	ga_s2bm_ard_3-2-1_50KRV_2019-06-28_final
2019-06-29 11:13:16	ga_s2bm_ard_3-2-1_52KCC_2019-06-29_final
2019-07-12 11:24:38	ga_s2bm_ard_3-2-1_51JWN_2019-07-12_final
2019-09-23 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2019-09-23_final
2019-09-24 11:04:21	ga_s2bm_ard_3-2-1_52JDT_2019-09-24_final
2019-10-10 11:23:19	ga_s2bm_ard_3-2-1_51KZS_2019-10-10_final
2020-01-01 11:34:06	ga_s2bm_ard_3-2-1_51KWP_2020-01-01_final
2020-02-20 11:32:40	ga_s2bm_ard_3-2-1_51KWV_2020-02-20_final
2020-02-21 11:05:30	ga_s2bm_ard_3-2-1_52JDN_2020-02-21_final
2020-03-02 11:04:55	ga_s2bm_ard_3-2-1_52JFQ_2020-03-02_final
2020-03-22 11:06:04	ga_s2bm_ard_3-2-1_52JCL_2020-03-22_final
2020-06-22 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2020-06-22_final
2020-07-08 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2020-07-08_final
2020-09-17 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2020-09-17_final
2020-11-19 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2020-11-19_final
2020-11-26 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2020-11-26_final
2020-12-07 11:04:05	ga_s2bm_ard_3-2-1_52KDU_2020-12-07_final
2020-12-12 11:54:10	ga_s2bm_ard_3-2-1_50KQU_2020-12-12_final
2021-01-12 11:25:42	ga_s2bm_ard_3-2-1_51JWH_2021-01-12_final
2021-02-11 11:25:41	ga_s2bm_ard_3-2-1_51JWH_2021-02-11_final
2021-02-28 11:16:35	ga_s2bm_ard_3-2-1_51HYD_2021-02-28_final
2021-03-04 10:55:41	ga_s2bm_ard_3-2-1_52JGM_2021-03-04_final
2021-03-05 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2021-03-05_final
2021-03-13 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2021-03-13_final
2021-05-02 11:25:24	ga_s2bm_ard_3-2-1_51JWJ_2021-05-02_final
2021-05-18 11:46:25	ga_s2bm_ard_3-2-1_50JML_2021-05-18_final
2021-07-22 10:55:29	ga_s2bm_ard_3-2-1_52JGN_2021-07-22_final
2021-10-10 10:54:27	ga_s2bm_ard_3-2-1_52JHS_2021-10-10_final
2021-12-21 11:34:27	ga_s2bm_ard_3-2-1_51JUN_2021-12-21_final
2022-01-31 11:04:09	ga_s2bm_ard_3-2-1_52JFT_2022-01-31_final
2022-03-01 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2022-03-01_final
2022-03-31 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2022-03-31_final
2022-04-06 11:53:18	ga_s2bm_ard_3-2-1_50KPC_2022-04-06_final
2022-04-14 11:13:51	ga_s2bm_ard_3-2-1_52KBV_2022-04-14_final
2022-04-18 10:55:52	ga_s2bm_ard_3-2-1_52JGL_2022-04-18_final
2022-04-27 11:24:12	ga_s2bm_ard_3-2-1_52JBT_2022-04-27_final
2022-06-30 11:06:11	ga_s2bm_ard_3-2-1_52JCL_2022-06-30_final
2022-07-20 11:04:23	ga_s2bm_ard_3-2-1_52JET_2022-07-20_final
2022-08-17 12:04:51	ga_s2bm_ard_3-2-1_50JMS_2022-08-17_final
2022-09-11 11:11:44	ga_s2bm_ard_3-2-1_52LGH_2022-09-11_final.stac-item
2022-09-25 10:54:30	ga_s2bm_ard_3-2-1_52JGS_2022-09-25_final.stac-item
2022-10-01 11:15:29	ga_s2bm_ard_3-2-1_51JXJ_2022-10-01_final.stac-item
2022-10-28 11:03:19	ga_s2bm_ard_3-2-1_52KEB_2022-10-28_final.stac-item
2022-11-09 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2022-11-09_final.stac-item
2022-11-09 11:46:25	ga_s2bm_ard_3-2-1_50JML_2022-11-09_final.stac-item
2023-01-06 11:02:13	ga_s2bm_ard_3-2-1_52KGF_2023-01-06_final.stac-item
2023-01-06 11:04:01	ga_s2bm_ard_3-2-1_52KEU_2023-01-06_final.stac-item
2023-01-29 11:11:28	ga_s2bm_ard_3-2-1_52LFJ_2023-01-29_final.stac-item
2023-02-28 11:12:00	ga_s2bm_ard_3-2-1_52KFG_2023-02-28_final.stac-item
2023-04-08 11:46:36	ga_s2bm_ard_3-2-1_50HPK_2023-04-08_final.stac-item
2023-05-15 11:31:22	ga_s2bm_ard_3-2-1_52LBK_2023-05-15_final.stac-item
2023-07-01 11:22:10	ga_s2bm_ard_3-2-1_52KCG_2023-07-01_final.stac-item
2023-07-02 10:55:36	ga_s2bm_ard_3-2-1_52JFN_2023-07-02_final.stac-item
2023-08-03 11:34:37	ga_s2bm_ard_3-2-1_51JUN_2023-08-03_final.stac-item
2023-09-12 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2023-09-12_final.stac-item
2023-11-12 11:00:50	ga_s2bm_ard_3-2-1_52LGM_2023-11-12_final.stac-item
2023-11-12 11:04:46	ga_s2bm_ard_3-2-1_52JDR_2023-11-12_final.stac-item
2024-01-03 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2024-01-03_final.stac-item
2024-01-04 11:10:33	ga_s2bm_ard_3-2-1_52LFN_2024-01-04_final.stac-item
2024-01-10 11:32:24	ga_s2bm_ard_3-2-1_51KXA_2024-01-10_final.stac-item
2024-01-27 11:22:03	ga_s2bm_ard_3-2-1_52KCG_2024-01-27_final.stac-item
2024-02-20 11:02:16	ga_s2bm_ard_3-2-1_52KGF_2024-02-20_final.stac-item
2024-03-19 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2024-03-19_final.stac-item
2024-03-27 11:26:44	ga_s2bm_ard_3-2-1_51HVD_2024-03-27_final.stac-item
2024-04-12 11:45:51	ga_s2bm_ard_3-2-1_50JPN_2024-04-12_final.stac-item
2024-05-03 12:51:00	ga_s2bm_ard_3-2-1_48LWP_2024-05-03_final.stac-item
2024-05-06 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2024-05-06_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