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
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_50JMT_2017-07-04_final
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_50JMT_2017-07-04_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50JMT_2017-07-24_final
2017-07-25 11:34:58	ga_s2bm_ard_3-2-1_51JTG_2017-07-25_final
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50JNQ_2017-08-07_final
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_51JTG_2017-09-03_final
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50KLU_2017-09-09_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JQT_2017-09-29_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50KLU_2017-12-28_final
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50KLU_2018-01-07_final
2018-02-16 11:50:39	ga_s2bm_ard_3-2-1_50KLU_2018-02-16_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50JPQ_2018-05-17_final
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_50JRS_2018-06-20_final
2018-07-20 11:35:23	ga_s2bm_ard_3-2-1_51JTG_2018-07-20_final
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_50JQM_2018-08-19_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_51JTG_2018-09-11_final
2019-02-01 11:55:24	ga_s2bm_ard_3-2-1_50JMQ_2019-02-01_final
2019-02-01 11:55:30	ga_s2bm_ard_3-2-1_50JNQ_2019-02-01_final
2019-03-23 11:55:24	ga_s2bm_ard_3-2-1_50JMQ_2019-03-23_final
2019-03-30 11:45:59	ga_s2bm_ard_3-2-1_51JTG_2019-03-30_final
2019-04-09 11:46:01	ga_s2bm_ard_3-2-1_51JTG_2019-04-09_final
2019-04-22 11:54:47	ga_s2bm_ard_3-2-1_50JMT_2019-04-22_final
2019-05-05 12:04:44	ga_s2bm_ard_3-2-1_50JMT_2019-05-05_final
2019-05-09 11:46:05	ga_s2bm_ard_3-2-1_51JTG_2019-05-09_final
2019-06-18 11:45:51	ga_s2bm_ard_3-2-1_51JTH_2019-06-18_final
2019-06-21 11:54:56	ga_s2bm_ard_3-2-1_50JMT_2019-06-21_final
2019-07-28 11:45:58	ga_s2bm_ard_3-2-1_50JPN_2019-07-28_final
2019-07-28 11:46:05	ga_s2bm_ard_3-2-1_51JTG_2019-07-28_final
2019-07-31 11:55:24	ga_s2bm_ard_3-2-1_50JPQ_2019-07-31_final
2019-07-31 11:55:34	ga_s2bm_ard_3-2-1_50JPP_2019-07-31_final
2019-09-06 11:45:52	ga_s2bm_ard_3-2-1_50JPN_2019-09-06_final
2019-09-06 11:46:07	ga_s2bm_ard_3-2-1_50JPM_2019-09-06_final
2019-09-12 12:04:22	ga_s2bm_ard_3-2-1_50KMU_2019-09-12_final
2019-09-12 12:04:36	ga_s2bm_ard_3-2-1_50JMT_2019-09-12_final
2019-09-19 11:54:25	ga_s2bm_ard_3-2-1_50KMU_2019-09-19_final
2019-10-06 11:45:58	ga_s2bm_ard_3-2-1_51JTG_2019-10-06_final
2019-10-06 11:46:06	ga_s2bm_ard_3-2-1_50JPM_2019-10-06_final
2019-10-09 11:54:34	ga_s2bm_ard_3-2-1_50KLU_2019-10-09_final
2020-02-06 11:54:27	ga_s2bm_ard_3-2-1_50KLU_2020-02-06_final
2020-02-16 11:55:20	ga_s2bm_ard_3-2-1_50JMQ_2020-02-16_final
2020-02-26 11:54:30	ga_s2bm_ard_3-2-1_50KLU_2020-02-26_final
2020-04-06 11:54:23	ga_s2bm_ard_3-2-1_50KMU_2020-04-06_final
2020-04-09 12:04:18	ga_s2bm_ard_3-2-1_50KMU_2020-04-09_final
2020-04-20 11:35:57	ga_s2bm_ard_3-2-1_51JTG_2020-04-20_final
2020-05-13 11:45:56	ga_s2bm_ard_3-2-1_51JTG_2020-05-13_final
2020-05-23 11:45:57	ga_s2bm_ard_3-2-1_51JTG_2020-05-23_final
2020-05-29 12:04:37	ga_s2bm_ard_3-2-1_50JMT_2020-05-29_final
2020-06-15 11:54:36	ga_s2bm_ard_3-2-1_50KLU_2020-06-15_final
2020-07-09 11:35:54	ga_s2bm_ard_3-2-1_51JTG_2020-07-09_final
2020-07-25 11:54:36	ga_s2bm_ard_3-2-1_50KLU_2020-07-25_final
2020-07-25 11:54:43	ga_s2bm_ard_3-2-1_50JMT_2020-07-25_final
2020-09-13 11:54:36	ga_s2bm_ard_3-2-1_50KLU_2020-09-13_final
2023-05-08 11:45:59	ga_s2bm_ard_3-2-1_51JTG_2023-05-08_final.stac-item
2023-06-03 12:04:35	ga_s2bm_ard_3-2-1_50JLT_2023-06-03_final.stac-item
2023-06-10 11:55:31	ga_s2bm_ard_3-2-1_50JPP_2023-06-10_final.stac-item
2023-06-13 12:04:34	ga_s2bm_ard_3-2-1_50KMU_2023-06-13_final.stac-item
2023-06-13 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2023-06-13_final.stac-item
2023-06-20 11:55:30	ga_s2bm_ard_3-2-1_50JPP_2023-06-20_final.stac-item
2023-06-23 12:05:02	ga_s2bm_ard_3-2-1_50JMR_2023-06-23_final.stac-item
2023-07-03 12:04:35	ga_s2bm_ard_3-2-1_50JMT_2023-07-03_final.stac-item
2023-07-03 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2023-07-03_final.stac-item
2023-07-20 11:55:32	ga_s2bm_ard_3-2-1_50JPP_2023-07-20_final.stac-item
2023-07-23 12:04:42	ga_s2bm_ard_3-2-1_50JMT_2023-07-23_final.stac-item
2023-07-30 11:55:32	ga_s2bm_ard_3-2-1_50JPP_2023-07-30_final.stac-item
2023-08-19 11:54:16	ga_s2bm_ard_3-2-1_50KMV_2023-08-19_final.stac-item
2023-08-19 11:54:31	ga_s2bm_ard_3-2-1_50KMU_2023-08-19_final.stac-item
2023-08-19 11:54:46	ga_s2bm_ard_3-2-1_50JMT_2023-08-19_final.stac-item
2023-08-19 11:55:31	ga_s2bm_ard_3-2-1_50JPP_2023-08-19_final.stac-item
2023-08-22 12:04:26	ga_s2bm_ard_3-2-1_50KMU_2023-08-22_final.stac-item
2023-08-22 12:04:40	ga_s2bm_ard_3-2-1_50JMT_2023-08-22_final.stac-item
2023-08-29 11:54:16	ga_s2bm_ard_3-2-1_50KMV_2023-08-29_final.stac-item
2023-08-29 11:54:27	ga_s2bm_ard_3-2-1_50KNU_2023-08-29_final.stac-item
2023-08-29 11:54:45	ga_s2bm_ard_3-2-1_50JMT_2023-08-29_final.stac-item
2023-09-01 12:04:40	ga_s2bm_ard_3-2-1_50JMT_2023-09-01_final.stac-item
2023-09-11 12:04:25	ga_s2bm_ard_3-2-1_50KMU_2023-09-11_final.stac-item
2023-09-15 11:46:00	ga_s2bm_ard_3-2-1_51JTG_2023-09-15_final.stac-item
2023-09-18 11:54:26	ga_s2bm_ard_3-2-1_50KNU_2023-09-18_final.stac-item
2023-09-21 12:04:24	ga_s2bm_ard_3-2-1_50KMU_2023-09-21_final.stac-item
2023-09-25 11:46:00	ga_s2bm_ard_3-2-1_51JTG_2023-09-25_final.stac-item
2023-09-28 11:54:25	ga_s2bm_ard_3-2-1_50KNU_2023-09-28_final.stac-item
2023-09-28 11:54:29	ga_s2bm_ard_3-2-1_50KMU_2023-09-28_final.stac-item
2023-10-01 12:04:23	ga_s2bm_ard_3-2-1_50KMU_2023-10-01_final.stac-item
2024-02-28 12:04:26	ga_s2bm_ard_3-2-1_50KMU_2024-02-28_final.stac-item
2024-03-26 11:54:23	ga_s2bm_ard_3-2-1_50KNU_2024-03-26_final.stac-item
2024-03-26 11:54:41	ga_s2bm_ard_3-2-1_50JMT_2024-03-26_final.stac-item
2024-03-29 12:04:21	ga_s2bm_ard_3-2-1_50KMU_2024-03-29_final.stac-item
2024-03-29 12:04:31	ga_s2bm_ard_3-2-1_50JLT_2024-03-29_final.stac-item
2024-04-08 12:04:20	ga_s2bm_ard_3-2-1_50KMU_2024-04-08_final.stac-item
2024-04-08 12:04:35	ga_s2bm_ard_3-2-1_50JMT_2024-04-08_final.stac-item
2024-04-18 12:04:31	ga_s2bm_ard_3-2-1_50JMT_2024-04-18_final.stac-item
2024-04-18 12:04:37	ga_s2bm_ard_3-2-1_50JMT_2024-04-18_final.stac-item
2024-04-22 11:45:57	ga_s2bm_ard_3-2-1_51JTG_2024-04-22_final.stac-item
2024-04-28 12:04:29	ga_s2bm_ard_3-2-1_50JMT_2024-04-28_final.stac-item
2024-04-28 12:04:35	ga_s2bm_ard_3-2-1_50JMT_2024-04-28_final.stac-item
2024-05-05 11:54:27	ga_s2bm_ard_3-2-1_50KMU_2024-05-05_final.stac-item
2024-05-05 11:55:19	ga_s2bm_ard_3-2-1_50JMQ_2024-05-05_final.stac-item
2024-05-08 12:04:22	ga_s2bm_ard_3-2-1_50KMU_2024-05-08_final.stac-item
2024-05-08 12:04:32	ga_s2bm_ard_3-2-1_50JLT_2024-05-08_final.stac-item
2024-05-18 12:04:20	ga_s2bm_ard_3-2-1_50KMU_2024-05-18_final.stac-item
2024-05-18 12:04:34	ga_s2bm_ard_3-2-1_50JMT_2024-05-18_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