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
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JPS_2017-08-20_final
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JPT_2017-08-20_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JQR_2017-08-27_final
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JPR_2017-09-09_final
2017-11-08 11:44:06	ga_s2bm_ard_3-2-1_50KQG_2017-11-08_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JGL_2017-11-24_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50JPT_2017-12-08_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50KNB_2017-12-11_final
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_50HNG_2017-12-12_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50KQU_2017-12-15_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JMT_2017-12-18_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50KMU_2017-12-18_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50KMV_2017-12-18_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KGQ_2018-03-14_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_50JRT_2018-03-25_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50HPG_2018-03-25_final.stac-item
2018-10-24 11:43:41	ga_s2bm_ard_3-2-1_50KQC_2018-10-24_final
2018-11-09 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2018-11-09_final
2018-11-10 11:46:17	ga_s2bm_ard_3-2-1_50JPL_2018-11-10_final
2018-11-23 11:53:18	ga_s2bm_ard_3-2-1_50KPC_2018-11-23_final
2018-11-23 11:55:23	ga_s2bm_ard_3-2-1_50JPP_2018-11-23_final
2018-12-06 12:03:25	ga_s2bm_ard_3-2-1_50KLC_2018-12-06_final
2018-12-06 12:03:28	ga_s2bm_ard_3-2-1_50KNB_2018-12-06_final
2018-12-10 11:44:39	ga_s2bm_ard_3-2-1_50JRS_2018-12-10_final
2018-12-13 11:53:47	ga_s2bm_ard_3-2-1_50KNA_2018-12-13_final
2018-12-23 11:52:30	ga_s2bm_ard_3-2-1_50KQF_2018-12-23_final.stac-item
2018-12-23 11:52:33	ga_s2bm_ard_3-2-1_50KPF_2018-12-23_final.stac-item
2018-12-23 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2018-12-23_final.stac-item
2018-12-29 12:14:15	ga_s2bm_ard_3-2-1_50KKU_2018-12-29_final
2018-12-30 11:44:42	ga_s2bm_ard_3-2-1_50JRS_2018-12-30_final
2019-01-02 11:55:13	ga_s2bm_ard_3-2-1_50JPQ_2019-01-02_final
2019-01-12 11:53:35	ga_s2bm_ard_3-2-1_50KPB_2019-01-12_final
2019-01-12 11:55:15	ga_s2bm_ard_3-2-1_50JPQ_2019-01-12_final
2019-01-15 12:04:06	ga_s2bm_ard_3-2-1_50KMV_2019-01-15_final
2019-01-19 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2019-01-19_final.stac-item
2019-01-22 11:53:50	ga_s2bm_ard_3-2-1_50KPA_2019-01-22_final
2019-01-25 12:04:36	ga_s2bm_ard_3-2-1_50JMT_2019-01-25_final
2019-01-28 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2019-01-28_final
2019-01-29 11:44:35	ga_s2bm_ard_3-2-1_50JQT_2019-01-29_final
2019-01-29 11:44:53	ga_s2bm_ard_3-2-1_50JPS_2019-01-29_final
2019-05-19 11:47:23	ga_s2bm_ard_3-2-1_50HLH_2019-05-19_final
2019-06-21 11:52:45	ga_s2bm_ard_3-2-1_50KPF_2019-06-21_final.stac-item
2019-08-30 11:55:53	ga_s2bm_ard_3-2-1_50JNN_2019-08-30_final
2019-10-19 11:53:48	ga_s2bm_ard_3-2-1_50KQA_2019-10-19_final
2019-11-18 11:53:44	ga_s2bm_ard_3-2-1_50KQA_2019-11-18_final
2019-12-21 12:03:21	ga_s2bm_ard_3-2-1_50KLC_2019-12-21_final
2019-12-25 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2019-12-25_final.stac-item
2019-12-28 11:54:18	ga_s2bm_ard_3-2-1_50JQT_2019-12-28_final
2020-02-19 12:03:40	ga_s2bm_ard_3-2-1_50KNA_2020-02-19_final
2020-06-09 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2020-06-09_final.stac-item
2020-10-19 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2020-10-19_final
2020-10-19 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2020-10-19_final
2020-10-20 11:44:23	ga_s2bm_ard_3-2-1_50KQU_2020-10-20_final
2020-10-20 11:44:38	ga_s2bm_ard_3-2-1_50JQT_2020-10-20_final
2020-10-20 11:44:56	ga_s2bm_ard_3-2-1_50JPS_2020-10-20_final
2020-10-20 11:45:10	ga_s2bm_ard_3-2-1_50JPR_2020-10-20_final
2020-10-20 11:45:21	ga_s2bm_ard_3-2-1_50JQQ_2020-10-20_final
2020-10-23 11:54:27	ga_s2bm_ard_3-2-1_50JQT_2020-10-23_final
2020-10-30 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2020-10-30_final
2020-10-30 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2020-10-30_final.stac-item
2020-11-02 11:53:41	ga_s2bm_ard_3-2-1_50KNB_2020-11-02_final
2020-11-02 11:54:07	ga_s2bm_ard_3-2-1_50KPV_2020-11-02_final
2020-11-02 11:54:21	ga_s2bm_ard_3-2-1_50KPU_2020-11-02_final
2020-11-05 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2020-11-05_final.stac-item
2020-11-08 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2020-11-08_final
2020-11-09 11:45:19	ga_s2bm_ard_3-2-1_50JQQ_2020-11-09_final
2020-11-25 12:03:52	ga_s2bm_ard_3-2-1_50KMA_2020-11-25_final
2020-11-28 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2020-11-28_final.stac-item
2020-12-12 11:53:50	ga_s2bm_ard_3-2-1_50KNA_2020-12-12_final
2020-12-18 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2020-12-18_final
2020-12-18 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2020-12-18_final
2020-12-18 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2020-12-18_final
2020-12-22 11:54:01	ga_s2bm_ard_3-2-1_50KPV_2020-12-22_final
2021-01-01 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2021-01-01_final.stac-item
2021-01-01 11:53:45	ga_s2bm_ard_3-2-1_50KQA_2021-01-01_final
2021-01-08 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2021-01-08_final
2021-03-09 11:44:09	ga_s2bm_ard_3-2-1_50KPV_2021-03-09_final
2021-03-12 11:53:58	ga_s2bm_ard_3-2-1_50KMA_2021-03-12_final
2021-05-18 11:45:03	ga_s2bm_ard_3-2-1_50JQR_2021-05-18_final
2021-05-18 11:46:53	ga_s2bm_ard_3-2-1_50HQH_2021-05-18_final
2021-06-30 11:54:20	ga_s2bm_ard_3-2-1_50KPU_2021-06-30_final
2021-06-30 11:54:24	ga_s2bm_ard_3-2-1_50JQT_2021-06-30_final
2021-08-09 11:53:47	ga_s2bm_ard_3-2-1_50KQA_2021-08-09_final
2021-10-12 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2021-10-12_final
2021-10-15 11:45:05	ga_s2bm_ard_3-2-1_50JQR_2021-10-15_final
2021-10-15 11:45:19	ga_s2bm_ard_3-2-1_50JQQ_2021-10-15_final
2021-11-14 11:44:33	ga_s2bm_ard_3-2-1_50JQT_2021-11-14_final
2021-11-17 11:53:34	ga_s2bm_ard_3-2-1_50KPB_2021-11-17_final
2021-12-07 11:55:44	ga_s2bm_ard_3-2-1_50JNN_2021-12-07_final
2021-12-13 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2021-12-13_final
2022-02-12 11:44:28	ga_s2bm_ard_3-2-1_50JQT_2022-02-12_final
2022-10-30 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2022-10-30_final.stac-item
2022-11-09 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2022-11-09_final.stac-item
2022-11-29 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2022-11-29_final.stac-item
2022-12-15 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2022-12-15_final.stac-item
2023-01-11 11:55:22	ga_s2bm_ard_3-2-1_50JPP_2023-01-11_final.stac-item
2023-01-21 11:53:51	ga_s2bm_ard_3-2-1_50KNA_2023-01-21_final.stac-item
2023-01-21 11:55:00	ga_s2bm_ard_3-2-1_50JPR_2023-01-21_final.stac-item
2023-09-05 11:47:21	ga_s2bm_ard_3-2-1_50HPG_2023-09-05_final.stac-item
2023-12-21 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2023-12-21_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