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
2018-05-07 11:48:28	ga_s2bm_ard_3-2-1_50KMA_2018-05-07_final
2018-05-07 11:48:28	ga_s2bm_ard_3-2-1_50KQB_2018-05-07_final
2018-05-07 11:48:28	ga_s2bm_ard_3-2-1_50KQV_2018-05-07_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50KNA_2018-05-07_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HLH_2018-06-23_final
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_50KKU_2018-09-20_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50KRA_2018-09-21_final
2018-09-22 11:12:44	ga_s2bm_ard_3-2-1_51HXE_2018-09-22_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JNP_2018-09-24_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_50JMS_2018-10-07_final
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49KHQ_2018-10-10_final
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_51JUG_2018-10-18_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49KHQ_2018-10-30_final
2018-11-06 12:04:46	ga_s2bm_ard_3-2-1_50JMS_2018-11-06_final
2018-11-16 12:04:56	ga_s2bm_ard_3-2-1_50JMR_2018-11-16_final
2018-11-20 11:45:41	ga_s2bm_ard_3-2-1_51JTH_2018-11-20_final
2018-11-26 12:04:32	ga_s2bm_ard_3-2-1_50JMT_2018-11-26_final
2018-11-26 12:04:50	ga_s2bm_ard_3-2-1_50JLS_2018-11-26_final
2018-11-27 11:35:55	ga_s2bm_ard_3-2-1_51JUG_2018-11-27_final
2018-11-27 11:36:03	ga_s2bm_ard_3-2-1_51JUG_2018-11-27_final
2018-12-04 11:26:17	ga_s2bm_ard_3-2-1_51HXE_2018-12-04_final
2018-12-10 11:45:58	ga_s2bm_ard_3-2-1_51JTG_2018-12-10_final
2018-12-13 11:54:12	ga_s2bm_ard_3-2-1_50KPU_2018-12-13_final
2018-12-14 11:26:16	ga_s2bm_ard_3-2-1_51HXE_2018-12-14_final
2018-12-16 12:05:58	ga_s2bm_ard_3-2-1_50JLM_2018-12-16_final
2018-12-20 11:45:38	ga_s2bm_ard_3-2-1_51JTH_2018-12-20_final
2018-12-20 11:46:02	ga_s2bm_ard_3-2-1_51JTF_2018-12-20_final
2019-01-29 11:45:57	ga_s2bm_ard_3-2-1_51JTG_2019-01-29_final
2019-09-22 12:04:48	ga_s2bm_ard_3-2-1_50JMS_2019-09-22_final
2019-11-11 12:04:48	ga_s2bm_ard_3-2-1_50JMS_2019-11-11_final
2019-12-12 11:36:28	ga_s2bm_ard_3-2-1_51HVD_2019-12-12_final
2020-04-12 12:14:27	ga_s2bm_ard_3-2-1_49JHN_2020-04-12_final
2020-08-27 12:03:48	ga_s2bm_ard_3-2-1_50KNA_2020-08-27_final
2020-09-03 11:52:37	ga_s2bm_ard_3-2-1_50KQF_2020-09-03_final.stac-item
2020-09-03 11:53:38	ga_s2bm_ard_3-2-1_50KPB_2020-09-03_final
2020-09-03 11:53:53	ga_s2bm_ard_3-2-1_50KPA_2020-09-03_final
2020-09-03 11:54:05	ga_s2bm_ard_3-2-1_50KNA_2020-09-03_final
2020-09-03 11:54:06	ga_s2bm_ard_3-2-1_50KMV_2020-09-03_final
2020-09-03 11:55:29	ga_s2bm_ard_3-2-1_50JPP_2020-09-03_final
2020-09-06 12:04:49	ga_s2bm_ard_3-2-1_50JLS_2020-09-06_final
2020-09-13 11:53:44	ga_s2bm_ard_3-2-1_50KPB_2020-09-13_final
2020-09-16 12:04:05	ga_s2bm_ard_3-2-1_50KMV_2020-09-16_final
2020-09-16 12:05:10	ga_s2bm_ard_3-2-1_50JLR_2020-09-16_final
2020-09-19 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-09-19_final
2020-09-26 12:03:47	ga_s2bm_ard_3-2-1_50KNA_2020-09-26_final
2020-09-30 11:46:00	ga_s2bm_ard_3-2-1_51JTG_2020-09-30_final
2020-10-03 11:55:29	ga_s2bm_ard_3-2-1_50JPP_2020-10-03_final
2020-10-06 12:03:48	ga_s2bm_ard_3-2-1_50KNA_2020-10-06_final
2020-10-07 11:36:03	ga_s2bm_ard_3-2-1_51JUG_2020-10-07_final
2021-02-13 12:03:42	ga_s2bm_ard_3-2-1_50KNA_2021-02-13_final
2021-09-05 11:45:53	ga_s2bm_ard_3-2-1_51JTG_2021-09-05_final
2021-09-08 11:55:23	ga_s2bm_ard_3-2-1_50JPP_2021-09-08_final
2021-09-15 11:46:04	ga_s2bm_ard_3-2-1_51JTF_2021-09-15_final
2021-09-21 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2021-09-21_final
2021-10-11 12:05:09	ga_s2bm_ard_3-2-1_49JFM_2021-10-11_final
2021-10-15 11:46:08	ga_s2bm_ard_3-2-1_51JTF_2021-10-15_final
2021-10-25 11:45:58	ga_s2bm_ard_3-2-1_51JTG_2021-10-25_final
2021-10-28 11:55:17	ga_s2bm_ard_3-2-1_50JPQ_2021-10-28_final
2021-11-10 12:05:08	ga_s2bm_ard_3-2-1_49JFM_2021-11-10_final
2021-11-24 11:45:53	ga_s2bm_ard_3-2-1_51JTG_2021-11-24_final
2021-12-11 11:35:54	ga_s2bm_ard_3-2-1_51JUG_2021-12-11_final
2021-12-17 11:55:09	ga_s2bm_ard_3-2-1_50JPQ_2021-12-17_final
2021-12-18 11:26:16	ga_s2bm_ard_3-2-1_51HXE_2021-12-18_final
2021-12-18 11:26:28	ga_s2bm_ard_3-2-1_51HWE_2021-12-18_final
2021-12-24 11:45:52	ga_s2bm_ard_3-2-1_51JTG_2021-12-24_final
2021-12-28 11:26:31	ga_s2bm_ard_3-2-1_51HVE_2021-12-28_final
2021-12-31 11:35:55	ga_s2bm_ard_3-2-1_51JUG_2021-12-31_final
2022-01-20 11:35:54	ga_s2bm_ard_3-2-1_51JUG_2022-01-20_final
2022-01-30 11:35:53	ga_s2bm_ard_3-2-1_51JUG_2022-01-30_final
2022-02-02 11:45:51	ga_s2bm_ard_3-2-1_51JTG_2022-02-02_final
2022-03-24 11:45:54	ga_s2bm_ard_3-2-1_51JTG_2022-03-24_final
2022-04-30 11:34:43	ga_s2bm_ard_3-2-1_51JTM_2022-04-30_final
2022-05-27 11:26:22	ga_s2bm_ard_3-2-1_51HXE_2022-05-27_final
2022-06-02 11:46:07	ga_s2bm_ard_3-2-1_51JTF_2022-06-02_final
2022-06-22 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2022-06-22_final
2022-07-02 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2022-07-02_final
2022-07-08 12:05:03	ga_s2bm_ard_3-2-1_50JMR_2022-07-08_final
2022-08-15 11:26:25	ga_s2bm_ard_3-2-1_51HXE_2022-08-15_final
2022-08-21 11:45:58	ga_s2bm_ard_3-2-1_51JTG_2022-08-21_final
2022-09-14 11:26:24	ga_s2bm_ard_3-2-1_51HXE_2022-09-14_final.stac-item
2022-11-29 11:45:55	ga_s2bm_ard_3-2-1_51JTG_2022-11-29_final.stac-item
2022-12-19 11:45:42	ga_s2bm_ard_3-2-1_51JTH_2022-12-19_final.stac-item
2023-03-09 11:46:01	ga_s2bm_ard_3-2-1_51JTG_2023-03-09_final.stac-item
2023-03-09 11:46:57	ga_s2bm_ard_3-2-1_50HQH_2023-03-09_final.stac-item
2023-03-10 11:16:30	ga_s2bm_ard_3-2-1_51HXE_2023-03-10_final.stac-item
2023-03-15 12:04:53	ga_s2bm_ard_3-2-1_50JMS_2023-03-15_final.stac-item
2023-03-22 11:55:29	ga_s2bm_ard_3-2-1_50JPP_2023-03-22_final.stac-item
2023-04-21 11:55:28	ga_s2bm_ard_3-2-1_50JPP_2023-04-21_final.stac-item
2023-04-22 11:26:24	ga_s2bm_ard_3-2-1_51HXE_2023-04-22_final.stac-item
2023-05-01 11:55:18	ga_s2bm_ard_3-2-1_50JPQ_2023-05-01_final.stac-item
2023-05-19 11:16:31	ga_s2bm_ard_3-2-1_51HXE_2023-05-19_final.stac-item
2023-06-08 11:16:31	ga_s2bm_ard_3-2-1_51HXE_2023-06-08_final.stac-item
2023-07-21 11:26:53	ga_s2bm_ard_3-2-1_51HXC_2023-07-21_final.stac-item
2023-08-23 11:36:38	ga_s2bm_ard_3-2-1_51HVD_2023-08-23_final.stac-item
2023-09-19 11:26:26	ga_s2bm_ard_3-2-1_51HXE_2023-09-19_final.stac-item
2023-10-15 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2023-10-15_final.stac-item
2023-12-04 11:46:50	ga_s2bm_ard_3-2-1_50HQH_2023-12-04_final.stac-item
2023-12-17 11:55:26	ga_s2bm_ard_3-2-1_50JPP_2023-12-17_final.stac-item
2024-01-17 11:26:21	ga_s2bm_ard_3-2-1_51HXE_2024-01-17_final.stac-item
2024-04-06 11:26:20	ga_s2bm_ard_3-2-1_51HXE_2024-04-06_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