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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JPR_2017-08-27_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50KPU_2017-08-27_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_51KTP_2017-08-27_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_51KTU_2017-08-27_final
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JPS_2017-09-09_final
2017-10-10 11:25:54	ga_s2bm_ard_3-2-1_51HVE_2017-10-10_final
2017-11-22 11:35:56	ga_s2bm_ard_3-2-1_50HQG_2017-11-22_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50KQB_2017-12-18_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51HVE_2018-02-07_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51JTN_2018-03-05_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HMG_2018-03-15_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_51JUN_2018-03-15_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_51KTU_2018-03-15_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JPS_2018-03-25_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JPR_2018-03-28_final
2018-03-29 11:23:39	ga_s2bm_ard_3-2-1_51JVF_2018-03-29_final
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_50JQP_2018-04-01_final.stac-item
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HNJ_2018-04-04_final
2018-04-08 11:24:02	ga_s2bm_ard_3-2-1_51JUF_2018-04-08_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_50HPK_2018-04-11_final.stac-item
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JPS_2018-04-14_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JPS_2018-04-17_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JQP_2018-04-24_final
2018-04-25 11:14:42	ga_s2bm_ard_3-2-1_51JXJ_2018-04-25_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49KHS_2018-07-09_final.stac-item
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_50HPG_2018-07-30_final.stac-item
2018-08-11 12:13:16	ga_s2bm_ard_3-2-1_49KHS_2018-08-11_final.stac-item
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HNG_2018-08-22_final.stac-item
2018-11-17 11:34:12	ga_s2bm_ard_3-2-1_51JXN_2018-11-17_final
2018-11-24 11:25:02	ga_s2bm_ard_3-2-1_51JYK_2018-11-24_final
2018-11-27 11:37:13	ga_s2bm_ard_3-2-1_50HQG_2018-11-27_final.stac-item
2018-12-07 11:34:19	ga_s2bm_ard_3-2-1_51JWN_2018-12-07_final
2018-12-10 11:44:12	ga_s2bm_ard_3-2-1_50KRU_2018-12-10_final
2018-12-10 11:47:11	ga_s2bm_ard_3-2-1_50HPG_2018-12-10_final.stac-item
2018-12-23 11:53:56	ga_s2bm_ard_3-2-1_50KQV_2018-12-23_final
2018-12-30 11:44:13	ga_s2bm_ard_3-2-1_51KTP_2018-12-30_final
2018-12-30 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2018-12-30_final
2019-01-19 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-01-19_final
2019-02-08 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2019-02-08_final.stac-item
2019-02-18 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-02-18_final
2019-03-30 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2019-03-30_final.stac-item
2019-04-06 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2019-04-06_final.stac-item
2019-04-06 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2019-04-06_final.stac-item
2019-08-28 11:17:03	ga_s2bm_ard_3-2-1_51HWC_2019-08-28_final.stac-item
2019-10-23 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2019-10-23_final.stac-item
2020-01-04 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2020-01-04_final
2020-01-04 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2020-01-04_final
2020-01-07 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2020-01-07_final
2020-02-03 11:47:03	ga_s2bm_ard_3-2-1_50HMH_2020-02-03_final
2020-03-04 11:42:14	ga_s2bm_ard_3-2-1_51KUB_2020-03-04_final.stac-item
2020-10-20 11:44:27	ga_s2bm_ard_3-2-1_50KPU_2020-10-20_final
2020-10-20 11:44:41	ga_s2bm_ard_3-2-1_50JPT_2020-10-20_final
2020-10-20 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2020-10-20_final.stac-item
2020-10-23 11:54:51	ga_s2bm_ard_3-2-1_50JPS_2020-10-23_final
2020-10-23 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2020-10-23_final.stac-item
2020-10-30 11:43:07	ga_s2bm_ard_3-2-1_50KRD_2020-10-30_final
2020-11-09 11:43:34	ga_s2bm_ard_3-2-1_51KTS_2020-11-09_final
2020-11-09 11:43:38	ga_s2bm_ard_3-2-1_50KQB_2020-11-09_final
2020-11-09 11:44:38	ga_s2bm_ard_3-2-1_50JPT_2020-11-09_final
2020-11-10 11:15:12	ga_s2bm_ard_3-2-1_51JYK_2020-11-10_final
2020-11-19 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2020-11-19_final
2020-11-22 11:57:15	ga_s2bm_ard_3-2-1_50HMH_2020-11-22_final
2020-11-29 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2020-11-29_final.stac-item
2020-12-19 11:43:00	ga_s2bm_ard_3-2-1_50KRD_2020-12-19_final
2021-01-08 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2021-01-08_final.stac-item
2021-03-12 11:53:46	ga_s2bm_ard_3-2-1_50KQA_2021-03-12_final
2021-04-05 11:34:13	ga_s2bm_ard_3-2-1_51JXN_2021-04-05_final
2021-05-12 11:26:34	ga_s2bm_ard_3-2-1_51HXD_2021-05-12_final
2021-05-18 11:45:03	ga_s2bm_ard_3-2-1_50JQR_2021-05-18_final
2021-05-28 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-05-28_final.stac-item
2021-06-30 11:54:24	ga_s2bm_ard_3-2-1_50JQT_2021-06-30_final
2021-06-30 11:55:17	ga_s2bm_ard_3-2-1_50JPQ_2021-06-30_final
2021-07-03 12:04:49	ga_s2bm_ard_3-2-1_49JHM_2021-07-03_final
2021-07-06 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2021-07-06_final.stac-item
2021-08-16 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-08-16_final.stac-item
2021-08-19 11:53:55	ga_s2bm_ard_3-2-1_50KQV_2021-08-19_final
2021-08-19 11:53:55	ga_s2bm_ard_3-2-1_50KQA_2021-08-19_final
2021-08-23 11:34:48	ga_s2bm_ard_3-2-1_51JTM_2021-08-23_final
2021-10-08 11:53:57	ga_s2bm_ard_3-2-1_50KPV_2021-10-08_final
2021-11-14 11:43:46	ga_s2bm_ard_3-2-1_51KTR_2021-11-14_final
2021-12-07 11:54:00	ga_s2bm_ard_3-2-1_50KPV_2021-12-07_final
2021-12-07 11:54:17	ga_s2bm_ard_3-2-1_50KNU_2021-12-07_final
2021-12-07 11:54:39	ga_s2bm_ard_3-2-1_50JLT_2021-12-07_final
2022-01-04 11:15:10	ga_s2bm_ard_3-2-1_51JYK_2022-01-04_final
2022-01-13 11:47:23	ga_s2bm_ard_3-2-1_50HLG_2022-01-13_final.stac-item
2022-02-12 11:43:30	ga_s2bm_ard_3-2-1_50KQB_2022-02-12_final
2022-02-19 11:37:11	ga_s2bm_ard_3-2-1_50HQG_2022-02-19_final.stac-item
2022-10-04 11:26:53	ga_s2bm_ard_3-2-1_51HWC_2022-10-04_final.stac-item
2022-10-13 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2022-10-13_final.stac-item
2022-10-16 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2022-10-16_final.stac-item
2023-03-15 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-03-15_final.stac-item
2023-04-05 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2023-04-05_final.stac-item
2023-06-07 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-06-07_final.stac-item
2023-08-12 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2023-08-12_final.stac-item
2023-10-22 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2023-10-22_final.stac-item
2023-11-27 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2023-11-27_final.stac-item
2023-12-03 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2023-12-03_final.stac-item
2023-12-21 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2023-12-21_final.stac-item
2024-02-05 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2024-02-05_final.stac-item
2024-03-13 11:44:40	ga_s2bm_ard_3-2-1_50JRS_2024-03-13_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