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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51KVT_2017-07-05_final
2017-08-02 10:53:14	ga_s2bm_ard_3-2-1_52JEM_2017-08-02_final
2017-08-14 11:34:56	ga_s2bm_ard_3-2-1_51JWK_2017-08-14_final
2017-10-14 11:01:57	ga_s2bm_ard_3-2-1_52KEB_2017-10-14_final
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50HLH_2017-11-28_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_52KBA_2018-02-17_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51HVE_2018-02-20_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JUG_2018-02-20_final
2018-04-15 11:13:22	ga_s2bm_ard_3-2-1_51JYF_2018-04-15_final
2018-05-19 10:54:54	ga_s2bm_ard_3-2-1_52JFL_2018-05-19_final
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_49JHM_2018-05-30_final
2018-06-08 10:47:22	ga_s2bm_ard_3-2-1_52JGS_2018-06-08_final
2018-08-30 11:00:32	ga_s2bm_ard_3-2-1_52JER_2018-08-30_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51HUD_2018-10-05_final
2018-10-13 10:41:44	ga_s2bm_ard_3-2-1_52JGL_2018-10-13_final
2018-11-10 11:44:12	ga_s2bm_ard_3-2-1_51KTP_2018-11-10_final
2018-11-10 11:46:20	ga_s2bm_ard_3-2-1_50JNL_2018-11-10_final
2018-11-11 11:15:36	ga_s2bm_ard_3-2-1_51JYH_2018-11-11_final
2018-12-23 11:56:00	ga_s2bm_ard_3-2-1_50JNM_2018-12-23_final
2019-01-26 11:31:49	ga_s2bm_ard_3-2-1_51LZC_2019-01-26_final
2019-03-18 11:06:05	ga_s2bm_ard_3-2-1_52JCL_2019-03-18_final
2019-04-02 11:56:20	ga_s2bm_ard_3-2-1_50JNL_2019-04-02_final
2019-04-12 11:56:23	ga_s2bm_ard_3-2-1_50JNL_2019-04-12_final
2019-04-13 11:23:50	ga_s2bm_ard_3-2-1_51KYQ_2019-04-13_final
2019-06-08 11:45:19	ga_s2bm_ard_3-2-1_50JNR_2019-06-08_final
2019-10-03 11:31:49	ga_s2bm_ard_3-2-1_51LZC_2019-10-03_final
2019-12-22 11:33:47	ga_s2bm_ard_3-2-1_51KXQ_2019-12-22_final
2020-01-11 11:34:49	ga_s2bm_ard_3-2-1_51JWL_2020-01-11_final
2020-02-04 11:12:22	ga_s2bm_ard_3-2-1_52KFE_2020-02-04_final
2020-03-04 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2020-03-04_final
2020-04-07 11:24:19	ga_s2bm_ard_3-2-1_51JYN_2020-04-07_final
2020-04-20 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2020-04-20_final
2020-05-10 11:33:59	ga_s2bm_ard_3-2-1_51KUQ_2020-05-10_final
2020-06-02 11:44:21	ga_s2bm_ard_3-2-1_50KQU_2020-06-02_final
2020-07-19 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2020-07-19_final
2020-07-20 11:04:20	ga_s2bm_ard_3-2-1_52JET_2020-07-20_final
2020-08-11 11:44:52	ga_s2bm_ard_3-2-1_50JQS_2020-08-11_final
2020-11-04 10:55:48	ga_s2bm_ard_3-2-1_52JFM_2020-11-04_final
2020-11-26 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2020-11-26_final
2020-12-09 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2020-12-09_final
2020-12-18 12:13:49	ga_s2bm_ard_3-2-1_49KGR_2020-12-18_final
2020-12-26 11:31:46	ga_s2bm_ard_3-2-1_51LZC_2020-12-26_final
2021-03-03 11:25:19	ga_s2bm_ard_3-2-1_51JYJ_2021-03-03_final
2021-03-20 11:12:16	ga_s2bm_ard_3-2-1_52KEF_2021-03-20_final
2021-05-08 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2021-05-08_final
2021-05-18 11:46:22	ga_s2bm_ard_3-2-1_50JNL_2021-05-18_final
2021-06-16 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2021-06-16_final
2021-08-09 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2021-08-09_final
2021-08-10 11:25:17	ga_s2bm_ard_3-2-1_51JVK_2021-08-10_final
2021-08-16 11:44:45	ga_s2bm_ard_3-2-1_50JRS_2021-08-16_final
2021-10-01 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2021-10-01_final
2021-10-05 11:46:26	ga_s2bm_ard_3-2-1_50JML_2021-10-05_final
2021-10-19 11:26:31	ga_s2bm_ard_3-2-1_51HVE_2021-10-19_final
2021-12-08 11:24:27	ga_s2bm_ard_3-2-1_52JBS_2021-12-08_final
2021-12-27 11:56:09	ga_s2bm_ard_3-2-1_50JKM_2021-12-27_final
2022-01-27 11:23:25	ga_s2bm_ard_3-2-1_51KZR_2022-01-27_final
2022-02-05 11:53:41	ga_s2bm_ard_3-2-1_50KQA_2022-02-05_final
2022-03-21 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2022-03-21_final
2022-03-28 11:24:52	ga_s2bm_ard_3-2-1_51JXL_2022-03-28_final
2022-04-17 11:26:28	ga_s2bm_ard_3-2-1_51HUE_2022-04-17_final
2022-05-13 11:43:16	ga_s2bm_ard_3-2-1_51KTT_2022-05-13_final
2022-05-23 11:45:36	ga_s2bm_ard_3-2-1_50JPP_2022-05-23_final
2022-05-30 11:35:08	ga_s2bm_ard_3-2-1_51JWK_2022-05-30_final
2022-05-31 11:06:06	ga_s2bm_ard_3-2-1_52JCL_2022-05-31_final
2022-06-19 11:36:07	ga_s2bm_ard_3-2-1_51JTG_2022-06-19_final
2022-07-06 11:23:33	ga_s2bm_ard_3-2-1_51KXS_2022-07-06_final
2022-08-08 11:34:29	ga_s2bm_ard_3-2-1_51JWN_2022-08-08_final
2022-09-20 11:42:00	ga_s2bm_ard_3-2-1_51LVC_2022-09-20_final.stac-item
2022-09-30 11:45:17	ga_s2bm_ard_3-2-1_50JQQ_2022-09-30_final.stac-item
2022-10-01 11:12:34	ga_s2bm_ard_3-2-1_52KDE_2022-10-01_final.stac-item
2022-10-10 11:45:05	ga_s2bm_ard_3-2-1_50JPR_2022-10-10_final.stac-item
2022-10-20 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2022-10-20_final.stac-item
2022-10-20 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2022-10-20_final.stac-item
2022-10-30 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2022-10-30_final.stac-item
2022-11-02 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2022-11-02_final.stac-item
2022-11-20 11:12:49	ga_s2bm_ard_3-2-1_52KDD_2022-11-20_final.stac-item
2022-12-20 11:12:19	ga_s2bm_ard_3-2-1_52KDF_2022-12-20_final.stac-item
2023-03-23 11:26:49	ga_s2bm_ard_3-2-1_51HUD_2023-03-23_final.stac-item
2023-03-25 12:04:56	ga_s2bm_ard_3-2-1_50JLS_2023-03-25_final.stac-item
2023-03-30 11:14:41	ga_s2bm_ard_3-2-1_52JBS_2023-03-30_final.stac-item
2023-04-12 11:24:20	ga_s2bm_ard_3-2-1_51JZN_2023-04-12_final.stac-item
2023-05-31 11:56:29	ga_s2bm_ard_3-2-1_50JLL_2023-05-31_final.stac-item
2023-06-01 11:26:36	ga_s2bm_ard_3-2-1_51HUE_2023-06-01_final.stac-item
2023-06-07 11:45:08	ga_s2bm_ard_3-2-1_50JQR_2023-06-07_final.stac-item
2023-06-11 11:23:30	ga_s2bm_ard_3-2-1_51KYS_2023-06-11_final.stac-item
2023-06-17 11:43:23	ga_s2bm_ard_3-2-1_51KTT_2023-06-17_final.stac-item
2023-06-21 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2023-06-21_final.stac-item
2023-07-03 12:05:46	ga_s2bm_ard_3-2-1_50JKP_2023-07-03_final.stac-item
2023-07-07 11:46:59	ga_s2bm_ard_3-2-1_50HQH_2023-07-07_final.stac-item
2023-07-10 11:57:17	ga_s2bm_ard_3-2-1_50HKH_2023-07-10_nrt.stac-item
2023-09-21 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2023-09-21_final.stac-item
2023-12-09 10:55:27	ga_s2bm_ard_3-2-1_52JFN_2023-12-09_final.stac-item
2024-01-23 11:43:46	ga_s2bm_ard_3-2-1_50KRA_2024-01-23_final.stac-item
2024-01-23 11:44:30	ga_s2bm_ard_3-2-1_51JTN_2024-01-23_final.stac-item
2024-01-24 11:12:41	ga_s2bm_ard_3-2-1_52KFD_2024-01-24_final.stac-item
2024-03-08 10:55:29	ga_s2bm_ard_3-2-1_52JEN_2024-03-08_final.stac-item
2024-03-11 11:04:07	ga_s2bm_ard_3-2-1_52JGT_2024-03-11_final.stac-item
2024-03-13 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2024-03-13_final.stac-item
2024-03-14 11:16:24	ga_s2bm_ard_3-2-1_51HXE_2024-03-14_final.stac-item
2024-03-23 11:41:59	ga_s2bm_ard_3-2-1_51LVC_2024-03-23_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