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
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50JPP_2017-08-07_final
2017-09-05 12:14:35	ga_s2bm_ard_3-2-1_49JFM_2017-09-05_final
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JMR_2017-09-09_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50JKT_2017-10-12_final
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50JMR_2017-10-19_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49JHN_2017-11-01_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50KNV_2017-11-18_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50KPV_2017-11-18_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49JHN_2017-11-21_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KNA_2017-11-28_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JHN_2017-12-01_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_50KKU_2017-12-21_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_50KLU_2017-12-21_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49JHN_2017-12-31_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_50JLT_2017-12-31_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50KLU_2018-01-10_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_50JKT_2018-01-30_final
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50HNG_2018-02-23_final.stac-item
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50KNV_2018-03-18_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50KNA_2018-06-16_final
2018-06-26 11:47:27	ga_s2bm_ard_3-2-1_50KPV_2018-06-26_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_49JGK_2018-06-29_final
2018-09-14 11:46:03	ga_s2bm_ard_3-2-1_50KQE_2018-09-14_final.stac-item
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50KNA_2018-09-24_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50KNV_2018-09-24_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_50KLU_2018-09-27_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50JPM_2018-10-01_final
2018-11-06 12:04:40	ga_s2bm_ard_3-2-1_50JKT_2018-11-06_final
2019-04-05 12:04:46	ga_s2bm_ard_3-2-1_50JKT_2019-04-05_final
2019-04-08 12:15:04	ga_s2bm_ard_3-2-1_49JFM_2019-04-08_final
2019-04-22 11:55:30	ga_s2bm_ard_3-2-1_50JMQ_2019-04-22_final
2019-04-25 12:05:36	ga_s2bm_ard_3-2-1_49JGK_2019-04-25_final
2019-09-09 11:54:10	ga_s2bm_ard_3-2-1_50KNV_2019-09-09_final
2019-09-16 11:44:34	ga_s2bm_ard_3-2-1_50JQT_2019-09-16_final
2019-11-21 12:04:22	ga_s2bm_ard_3-2-1_50KLU_2019-11-21_final
2019-12-08 11:53:44	ga_s2bm_ard_3-2-1_50KPA_2019-12-08_final
2020-01-20 12:04:07	ga_s2bm_ard_3-2-1_50KKV_2020-01-20_final
2020-01-20 12:04:33	ga_s2bm_ard_3-2-1_50JLT_2020-01-20_final
2020-01-30 12:04:05	ga_s2bm_ard_3-2-1_50KKV_2020-01-30_final
2020-01-30 12:04:32	ga_s2bm_ard_3-2-1_50JLT_2020-01-30_final
2020-03-23 12:14:58	ga_s2bm_ard_3-2-1_49JFM_2020-03-23_final
2020-05-19 12:04:28	ga_s2bm_ard_3-2-1_50KKU_2020-05-19_final
2020-05-19 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2020-05-19_final
2020-06-15 11:56:24	ga_s2bm_ard_3-2-1_50JML_2020-06-15_final
2020-06-25 11:53:41	ga_s2bm_ard_3-2-1_50KNB_2020-06-25_final
2020-09-16 12:04:26	ga_s2bm_ard_3-2-1_50KLU_2020-09-16_final
2020-09-20 11:45:05	ga_s2bm_ard_3-2-1_50JQR_2020-09-20_final
2020-10-23 11:55:13	ga_s2bm_ard_3-2-1_50JMR_2020-10-23_final
2020-10-26 12:04:28	ga_s2bm_ard_3-2-1_50KLU_2020-10-26_final
2021-02-23 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2021-02-23_final
2021-02-23 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2021-02-23_final
2021-04-21 11:55:18	ga_s2bm_ard_3-2-1_50JMQ_2021-04-21_final
2021-06-10 11:56:23	ga_s2bm_ard_3-2-1_50JML_2021-06-10_final
2021-10-31 12:04:44	ga_s2bm_ard_3-2-1_50JKT_2021-10-31_final
2021-12-20 12:04:19	ga_s2bm_ard_3-2-1_50KLU_2021-12-20_final
2022-01-23 11:45:12	ga_s2bm_ard_3-2-1_50JQQ_2022-01-23_final
2022-02-15 11:53:33	ga_s2bm_ard_3-2-1_50KNB_2022-02-15_final
2022-02-15 11:53:47	ga_s2bm_ard_3-2-1_50KNA_2022-02-15_final
2022-02-25 11:54:04	ga_s2bm_ard_3-2-1_50KNV_2022-02-25_final
2022-03-07 11:54:06	ga_s2bm_ard_3-2-1_50KNV_2022-03-07_final
2022-04-06 11:55:03	ga_s2bm_ard_3-2-1_50JNR_2022-04-06_final
2022-05-06 11:53:35	ga_s2bm_ard_3-2-1_50KNB_2022-05-06_final
2022-05-06 11:54:18	ga_s2bm_ard_3-2-1_50KNU_2022-05-06_final
2022-05-06 11:55:02	ga_s2bm_ard_3-2-1_50JNR_2022-05-06_final
2022-06-21 12:15:04	ga_s2bm_ard_3-2-1_49JFM_2022-06-21_final
2022-06-25 11:53:55	ga_s2bm_ard_3-2-1_50KPA_2022-06-25_final
2022-06-28 12:04:33	ga_s2bm_ard_3-2-1_50KKU_2022-06-28_final
2022-07-05 11:53:55	ga_s2bm_ard_3-2-1_50KPA_2022-07-05_final
2022-09-03 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2022-09-03_final.stac-item
2022-10-06 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2022-10-06_final.stac-item
2022-10-13 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2022-10-13_final.stac-item
2022-10-30 11:46:18	ga_s2bm_ard_3-2-1_50JPL_2022-10-30_final.stac-item
2022-11-02 11:54:35	ga_s2bm_ard_3-2-1_50JNT_2022-11-02_final.stac-item
2022-11-05 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2022-11-05_final.stac-item
2022-11-05 12:04:26	ga_s2bm_ard_3-2-1_50KKU_2022-11-05_final.stac-item
2022-11-12 11:54:04	ga_s2bm_ard_3-2-1_50KPV_2022-11-12_final.stac-item
2022-12-02 11:54:21	ga_s2bm_ard_3-2-1_50KNU_2022-12-02_final.stac-item
2022-12-05 12:04:22	ga_s2bm_ard_3-2-1_50KLU_2022-12-05_final.stac-item
2022-12-05 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2022-12-05_final.stac-item
2022-12-09 11:45:14	ga_s2bm_ard_3-2-1_50JQQ_2022-12-09_final.stac-item
2022-12-22 11:57:12	ga_s2bm_ard_3-2-1_50HKH_2022-12-22_nrt.stac-item
2023-01-11 11:55:06	ga_s2bm_ard_3-2-1_50JMR_2023-01-11_final.stac-item
2023-01-14 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2023-01-14_final.stac-item
2023-01-14 12:04:24	ga_s2bm_ard_3-2-1_50KKU_2023-01-14_final.stac-item
2023-03-09 11:44:24	ga_s2bm_ard_3-2-1_50KQU_2023-03-09_final.stac-item
2023-03-12 11:55:14	ga_s2bm_ard_3-2-1_50JMR_2023-03-12_final.stac-item
2023-07-23 12:05:35	ga_s2bm_ard_3-2-1_49JGK_2023-07-23_final.stac-item
2023-08-29 11:55:28	ga_s2bm_ard_3-2-1_50JMQ_2023-08-29_final.stac-item
2023-09-25 11:45:21	ga_s2bm_ard_3-2-1_50JQQ_2023-09-25_final.stac-item
2023-10-05 11:45:18	ga_s2bm_ard_3-2-1_50JQQ_2023-10-05_final.stac-item
2023-10-24 12:13:48	ga_s2bm_ard_3-2-1_49KFS_2023-10-24_nrt.stac-item
2023-11-14 11:44:20	ga_s2bm_ard_3-2-1_50KQU_2023-11-14_final.stac-item
2023-11-30 12:04:10	ga_s2bm_ard_3-2-1_50KKV_2023-11-30_final.stac-item
2023-11-30 12:04:22	ga_s2bm_ard_3-2-1_50KLU_2023-11-30_final.stac-item
2023-12-14 11:45:16	ga_s2bm_ard_3-2-1_50JQQ_2023-12-14_final.stac-item
2024-01-09 12:04:23	ga_s2bm_ard_3-2-1_50KLU_2024-01-09_final.stac-item
2024-01-29 12:04:11	ga_s2bm_ard_3-2-1_50KKV_2024-01-29_final.stac-item
2024-02-08 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2024-02-08_final.stac-item
2024-02-18 12:04:40	ga_s2bm_ard_3-2-1_50JLT_2024-02-18_final.stac-item
2024-04-01 12:13:46	ga_s2bm_ard_3-2-1_49KFS_2024-04-01_nrt.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