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 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
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JPP_2017-07-31_final
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50KLU_2017-07-31_final
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50JLM_2017-08-13_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50JMT_2017-09-02_final
2017-10-22 12:03:34	ga_s2bm_ard_3-2-1_49KHQ_2017-10-22_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JHN_2017-11-24_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50JQT_2018-02-06_final
2018-02-16 11:50:39	ga_s2bm_ard_3-2-1_50JQT_2018-02-16_final
2018-02-16 11:50:39	ga_s2bm_ard_3-2-1_50KLU_2018-02-16_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_50JMT_2018-05-10_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50KLU_2018-05-17_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50JMT_2018-05-20_final
2018-05-24 11:43:21	ga_s2bm_ard_3-2-1_50JNM_2018-05-24_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JPP_2018-06-26_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JQT_2018-10-14_final
2018-11-23 11:54:30	ga_s2bm_ard_3-2-1_50KLU_2018-11-23_final
2019-02-01 11:54:34	ga_s2bm_ard_3-2-1_50KLU_2019-02-01_final
2019-03-13 11:54:21	ga_s2bm_ard_3-2-1_50JQT_2019-03-13_final
2019-05-12 11:55:34	ga_s2bm_ard_3-2-1_50JPP_2019-05-12_final
2019-05-15 12:04:44	ga_s2bm_ard_3-2-1_50JMT_2019-05-15_final
2019-06-01 11:55:34	ga_s2bm_ard_3-2-1_50JPP_2019-06-01_final
2019-06-04 12:04:44	ga_s2bm_ard_3-2-1_50JMT_2019-06-04_final
2019-07-11 11:55:35	ga_s2bm_ard_3-2-1_50JPP_2019-07-11_final
2019-07-18 11:45:48	ga_s2bm_ard_3-2-1_50JNP_2019-07-18_final
2019-07-21 11:54:42	ga_s2bm_ard_3-2-1_50KLU_2019-07-21_final
2019-07-21 11:54:59	ga_s2bm_ard_3-2-1_50JLS_2019-07-21_final
2019-07-21 11:55:35	ga_s2bm_ard_3-2-1_50JPP_2019-07-21_final
2019-07-31 11:54:41	ga_s2bm_ard_3-2-1_50KLU_2019-07-31_final
2019-07-31 11:55:34	ga_s2bm_ard_3-2-1_50JPP_2019-07-31_final
2019-08-03 12:04:43	ga_s2bm_ard_3-2-1_50JMT_2019-08-03_final
2019-08-10 11:55:33	ga_s2bm_ard_3-2-1_50JPP_2019-08-10_final
2019-08-20 11:55:32	ga_s2bm_ard_3-2-1_50JPP_2019-08-20_final
2019-09-02 12:04:39	ga_s2bm_ard_3-2-1_50JMT_2019-09-02_final
2019-09-09 11:55:28	ga_s2bm_ard_3-2-1_50JPP_2019-09-09_final
2019-11-18 11:54:32	ga_s2bm_ard_3-2-1_50KLU_2019-11-18_final
2019-12-28 11:54:18	ga_s2bm_ard_3-2-1_50JQT_2019-12-28_final
2020-02-06 11:54:27	ga_s2bm_ard_3-2-1_50KLU_2020-02-06_final
2020-03-17 11:54:21	ga_s2bm_ard_3-2-1_50JQT_2020-03-17_final
2020-04-19 12:04:31	ga_s2bm_ard_3-2-1_50JMT_2020-04-19_final
2020-05-16 11:55:26	ga_s2bm_ard_3-2-1_50JPP_2020-05-16_final
2020-05-19 12:04:35	ga_s2bm_ard_3-2-1_50JMT_2020-05-19_final
2020-05-29 12:04:37	ga_s2bm_ard_3-2-1_50JMT_2020-05-29_final
2020-06-05 11:55:28	ga_s2bm_ard_3-2-1_50JPP_2020-06-05_final
2020-06-08 12:05:22	ga_s2bm_ard_3-2-1_49JGK_2020-06-08_final
2020-06-15 11:54:52	ga_s2bm_ard_3-2-1_50JLT_2020-06-15_final
2020-06-15 11:55:29	ga_s2bm_ard_3-2-1_50JPP_2020-06-15_final
2020-06-25 11:55:29	ga_s2bm_ard_3-2-1_50JPP_2020-06-25_final
2020-07-15 11:55:28	ga_s2bm_ard_3-2-1_50JPP_2020-07-15_final
2020-07-28 12:04:38	ga_s2bm_ard_3-2-1_50JMT_2020-07-28_final
2020-08-17 12:04:25	ga_s2bm_ard_3-2-1_50KMU_2020-08-17_final
2020-08-24 11:55:30	ga_s2bm_ard_3-2-1_50JPP_2020-08-24_final
2020-08-27 12:04:48	ga_s2bm_ard_3-2-1_50JMS_2020-08-27_final
2020-09-06 12:04:38	ga_s2bm_ard_3-2-1_50JMT_2020-09-06_final
2020-09-13 11:54:25	ga_s2bm_ard_3-2-1_50JQT_2020-09-13_final
2020-09-23 11:54:28	ga_s2bm_ard_3-2-1_50KMU_2020-09-23_final
2020-10-23 11:54:27	ga_s2bm_ard_3-2-1_50JQT_2020-10-23_final
2020-10-23 11:54:36	ga_s2bm_ard_3-2-1_50KMU_2020-10-23_final
2020-11-12 11:54:34	ga_s2bm_ard_3-2-1_50KLU_2020-11-12_final
2021-03-12 11:54:22	ga_s2bm_ard_3-2-1_50JQT_2021-03-12_final
2021-03-22 11:54:32	ga_s2bm_ard_3-2-1_50KLU_2021-03-22_final
2021-04-04 12:04:22	ga_s2bm_ard_3-2-1_50KMU_2021-04-04_final
2021-04-24 12:04:16	ga_s2bm_ard_3-2-1_50KMU_2021-04-24_final
2021-04-27 12:14:26	ga_s2bm_ard_3-2-1_49JHN_2021-04-27_final
2021-06-06 12:13:38	ga_s2bm_ard_3-2-1_50KKB_2021-06-06_final
2021-07-17 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2021-07-17_final.stac-item
2021-09-11 12:04:14	ga_s2bm_ard_3-2-1_50KMU_2021-09-11_final
2021-10-01 12:04:24	ga_s2bm_ard_3-2-1_50KMU_2021-10-01_final
2021-10-08 11:54:34	ga_s2bm_ard_3-2-1_50KLU_2021-10-08_final
2021-10-11 12:04:26	ga_s2bm_ard_3-2-1_50KMU_2021-10-11_final
2021-10-18 11:54:34	ga_s2bm_ard_3-2-1_50KLU_2021-10-18_final
2022-02-25 11:54:29	ga_s2bm_ard_3-2-1_50KLU_2022-02-25_final
2022-03-30 12:04:40	ga_s2bm_ard_3-2-1_50JLS_2022-03-30_final
2022-04-16 11:54:29	ga_s2bm_ard_3-2-1_50KLU_2022-04-16_final
2022-04-19 12:04:38	ga_s2bm_ard_3-2-1_50JMT_2022-04-19_final
2022-05-03 11:47:15	ga_s2bm_ard_3-2-1_50HNG_2022-05-03_final.stac-item
2022-05-09 12:04:40	ga_s2bm_ard_3-2-1_50JMS_2022-05-09_final
2022-06-28 12:04:48	ga_s2bm_ard_3-2-1_50JMS_2022-06-28_final
2022-07-08 12:04:48	ga_s2bm_ard_3-2-1_50JMS_2022-07-08_final
2022-08-14 11:54:36	ga_s2bm_ard_3-2-1_50KLU_2022-08-14_final
2022-09-26 12:04:44	ga_s2bm_ard_3-2-1_50JLS_2022-09-26_final.stac-item
2022-10-13 11:54:22	ga_s2bm_ard_3-2-1_50JQT_2022-10-13_final.stac-item
2022-11-02 11:54:21	ga_s2bm_ard_3-2-1_50JQT_2022-11-02_final.stac-item
2023-02-20 11:54:32	ga_s2bm_ard_3-2-1_50KLU_2023-02-20_final.stac-item
2023-03-15 12:04:35	ga_s2bm_ard_3-2-1_50JMT_2023-03-15_final.stac-item
2023-05-04 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2023-05-04_final.stac-item
2023-06-13 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2023-06-13_final.stac-item
2023-07-20 11:54:39	ga_s2bm_ard_3-2-1_50KLU_2023-07-20_final.stac-item
2023-07-23 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2023-07-23_final.stac-item
2023-08-16 11:47:32	ga_s2bm_ard_3-2-1_50HLG_2023-08-16_final.stac-item
2023-08-23 11:36:33	ga_s2bm_ard_3-2-1_50HPK_2023-08-23_final.stac-item
2023-08-29 11:54:38	ga_s2bm_ard_3-2-1_50KLU_2023-08-29_final.stac-item
2023-10-08 11:54:34	ga_s2bm_ard_3-2-1_50KLU_2023-10-08_final.stac-item
2023-10-11 12:05:00	ga_s2bm_ard_3-2-1_50JMR_2023-10-11_final.stac-item
2023-10-18 11:54:25	ga_s2bm_ard_3-2-1_50JQT_2023-10-18_final.stac-item
2023-10-18 11:54:36	ga_s2bm_ard_3-2-1_50KLU_2023-10-18_final.stac-item
2023-10-28 11:54:25	ga_s2bm_ard_3-2-1_50JQT_2023-10-28_final.stac-item
2024-02-12 11:46:00	ga_s2bm_ard_3-2-1_50JPM_2024-02-12_final.stac-item
2024-04-08 12:04:30	ga_s2bm_ard_3-2-1_50JLT_2024-04-08_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