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
2017-08-03 10:23:06	ga_s2bm_ard_3-2-1_53HQC_2017-08-03_final
2017-09-22 10:26:24	ga_s2bm_ard_3-2-1_53HQA_2017-09-22_final
2017-10-11 10:52:02	ga_s2bm_ard_3-2-1_52KHA_2017-10-11_final
2017-10-15 10:31:57	ga_s2bm_ard_3-2-1_53HPA_2017-10-15_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51JWL_2017-11-12_final
2018-01-26 10:37:20	ga_s2bm_ard_3-2-1_53JNN_2018-01-26_final
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51HWD_2018-01-28_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KVR_2018-01-31_final
2018-02-04 11:07:05	ga_s2bm_ard_3-2-1_52LHM_2018-02-04_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_51KZR_2018-02-17_final
2018-02-24 11:07:04	ga_s2bm_ard_3-2-1_52KFG_2018-02-24_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51HTC_2018-03-02_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50HNK_2018-04-07_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_53HQA_2018-04-17_final
2018-04-23 10:27:06	ga_s2bm_ard_3-2-1_53HPB_2018-04-23_final
2018-07-12 10:29:34	ga_s2bm_ard_3-2-1_53JQN_2018-07-12_final
2018-08-30 11:00:32	ga_s2bm_ard_3-2-1_52KGV_2018-08-30_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53JNM_2018-08-31_final
2018-09-19 11:04:43	ga_s2bm_ard_3-2-1_52HBK_2018-09-19_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51LWC_2018-09-21_final
2018-11-18 11:02:23	ga_s2bm_ard_3-2-1_52KHE_2018-11-18_final
2019-01-17 11:05:16	ga_s2bm_ard_3-2-1_52JEP_2019-01-17_final
2019-02-05 11:31:49	ga_s2bm_ard_3-2-1_51LZC_2019-02-05_final
2019-03-15 10:54:13	ga_s2bm_ard_3-2-1_52JGT_2019-03-15_final
2019-03-21 11:16:07	ga_s2bm_ard_3-2-1_51JYF_2019-03-21_final
2019-03-25 10:56:01	ga_s2bm_ard_3-2-1_52JFL_2019-03-25_final
2019-06-17 10:36:54	ga_s2bm_ard_3-2-1_53HPB_2019-06-17_final
2019-06-27 10:34:12	ga_s2bm_ard_3-2-1_53JQN_2019-06-27_final
2019-07-12 11:24:49	ga_s2bm_ard_3-2-1_51JXM_2019-07-12_final
2019-08-26 10:34:30	ga_s2bm_ard_3-2-1_53JNM_2019-08-26_final
2019-10-20 11:25:43	ga_s2bm_ard_3-2-1_51JWH_2019-10-20_final
2019-11-01 10:26:41	ga_s2bm_ard_3-2-1_53HNC_2019-11-01_final
2019-12-14 12:15:14	ga_s2bm_ard_3-2-1_49JGK_2019-12-14_final
2019-12-16 11:15:45	ga_s2bm_ard_3-2-1_52JBM_2019-12-16_final
2020-01-07 11:53:12	ga_s2bm_ard_3-2-1_50KQC_2020-01-07_final
2020-01-08 11:23:01	ga_s2bm_ard_3-2-1_51KZT_2020-01-08_final
2020-02-10 11:36:01	ga_s2bm_ard_3-2-1_51JUF_2020-02-10_final
2020-03-01 11:31:40	ga_s2bm_ard_3-2-1_51LXD_2020-03-01_final
2020-03-23 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-03-23_final
2020-04-11 11:00:27	ga_s2bm_ard_3-2-1_52LHN_2020-04-11_final
2020-04-25 10:44:01	ga_s2bm_ard_3-2-1_53JNN_2020-04-25_final
2020-05-21 11:01:43	ga_s2bm_ard_3-2-1_52LHH_2020-05-21_final
2020-05-27 11:21:25	ga_s2bm_ard_3-2-1_52LBK_2020-05-27_final
2020-05-30 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2020-05-30_final
2020-07-20 11:04:37	ga_s2bm_ard_3-2-1_52JDS_2020-07-20_final
2020-07-20 11:05:03	ga_s2bm_ard_3-2-1_52JEQ_2020-07-20_final
2020-10-04 11:26:21	ga_s2bm_ard_3-2-1_51JUF_2020-10-04_final
2020-11-03 11:26:35	ga_s2bm_ard_3-2-1_51HUE_2020-11-03_final
2020-11-06 11:36:12	ga_s2bm_ard_3-2-1_51JVF_2020-11-06_final
2020-12-05 10:26:20	ga_s2bm_ard_3-2-1_53HPD_2020-12-05_final
2020-12-06 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2020-12-06_final
2020-12-11 10:44:14	ga_s2bm_ard_3-2-1_53JPM_2020-12-11_final
2021-01-02 11:26:31	ga_s2bm_ard_3-2-1_51HUE_2021-01-02_final
2021-02-05 11:03:53	ga_s2bm_ard_3-2-1_52KDV_2021-02-05_final
2021-02-12 10:55:52	ga_s2bm_ard_3-2-1_53JKF_2021-02-12_final
2021-03-08 10:36:31	ga_s2bm_ard_3-2-1_53HPC_2021-03-08_final
2021-05-27 10:34:04	ga_s2bm_ard_3-2-1_53JQN_2021-05-27_final
2021-06-25 11:06:37	ga_s2bm_ard_3-2-1_51HYD_2021-06-25_final
2021-07-20 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2021-07-20_final
2021-07-20 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2021-07-20_final
2021-08-25 10:36:27	ga_s2bm_ard_3-2-1_53HLD_2021-08-25_final
2021-09-11 10:26:50	ga_s2bm_ard_3-2-1_53HNB_2021-09-11_final
2021-10-05 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2021-10-05_final
2021-11-06 10:46:24	ga_s2bm_ard_3-2-1_53HLD_2021-11-06_final
2022-01-09 12:03:23	ga_s2bm_ard_3-2-1_50KLC_2022-01-09_final
2022-01-18 10:55:23	ga_s2bm_ard_3-2-1_52JGN_2022-01-18_final
2022-03-05 11:15:01	ga_s2bm_ard_3-2-1_52JCQ_2022-03-05_final
2022-04-29 12:03:19	ga_s2bm_ard_3-2-1_50KLC_2022-04-29_final
2022-05-05 10:46:05	ga_s2bm_ard_3-2-1_53HLE_2022-05-05_final
2022-05-28 10:54:59	ga_s2bm_ard_3-2-1_52JFQ_2022-05-28_final
2022-06-03 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2022-06-03_final
2022-06-15 10:17:08	ga_s2bm_ard_3-2-1_53HQA_2022-06-15_final
2022-06-29 11:36:37	ga_s2bm_ard_3-2-1_51HTE_2022-06-29_final
2022-07-30 11:03:39	ga_s2bm_ard_3-2-1_52KEA_2022-07-30_final
2022-10-01 11:12:34	ga_s2bm_ard_3-2-1_52KDE_2022-10-01_final.stac-item
2022-10-04 11:26:27	ga_s2bm_ard_3-2-1_51HVE_2022-10-04_final.stac-item
2022-10-30 11:46:25	ga_s2bm_ard_3-2-1_50JML_2022-10-30_final.stac-item
2022-11-07 11:03:03	ga_s2bm_ard_3-2-1_52KEC_2022-11-07_final.stac-item
2022-11-29 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2022-11-29_final.stac-item
2022-12-09 11:42:24	ga_s2bm_ard_3-2-1_51KVA_2022-12-09_final.stac-item
2022-12-28 10:34:32	ga_s2bm_ard_3-2-1_53JQL_2022-12-28_final.stac-item
2023-01-09 11:13:26	ga_s2bm_ard_3-2-1_51KZS_2023-01-09_final.stac-item
2023-01-17 10:36:22	ga_s2bm_ard_3-2-1_53HMD_2023-01-17_final.stac-item
2023-03-23 11:25:26	ga_s2bm_ard_3-2-1_51JXJ_2023-03-23_final.stac-item
2023-04-01 11:56:58	ga_s2bm_ard_3-2-1_50HLJ_2023-04-01_final.stac-item
2023-04-28 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2023-04-28_final.stac-item
2023-05-05 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2023-05-05_final.stac-item
2023-06-21 11:26:51	ga_s2bm_ard_3-2-1_51HUD_2023-06-21_final.stac-item
2023-06-23 10:24:44	ga_s2bm_ard_3-2-1_53JQL_2023-06-23_final.stac-item
2023-06-24 11:33:06	ga_s2bm_ard_3-2-1_51KYT_2023-06-24_final.stac-item
2023-06-26 10:34:04	ga_s2bm_ard_3-2-1_53JRN_2023-06-26_final.stac-item
2023-09-12 11:36:09	ga_s2bm_ard_3-2-1_50JQM_2023-09-12_final.stac-item
2023-10-13 11:06:38	ga_s2bm_ard_3-2-1_51HYD_2023-10-13_final.stac-item
2023-11-30 10:26:43	ga_s2bm_ard_3-2-1_53HQB_2023-11-30_final.stac-item
2023-12-04 11:43:04	ga_s2bm_ard_3-2-1_51KUT_2023-12-04_final.stac-item
2024-01-27 11:22:22	ga_s2bm_ard_3-2-1_51KZA_2024-01-27_final.stac-item
2024-01-31 11:06:30	ga_s2bm_ard_3-2-1_52HBJ_2024-01-31_nrt.stac-item
2024-03-07 11:24:13	ga_s2bm_ard_3-2-1_52JBT_2024-03-07_final.stac-item
2024-03-10 11:33:48	ga_s2bm_ard_3-2-1_51KXQ_2024-03-10_final.stac-item
2024-03-10 11:36:06	ga_s2bm_ard_3-2-1_51JVF_2024-03-10_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