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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JMT_2017-07-11_final
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50JNP_2017-07-18_final
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JMT_2017-07-31_final
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JMT_2017-08-20_final
2017-10-05 12:13:31	ga_s2bm_ard_3-2-1_49JHN_2017-10-05_final
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50JPP_2017-10-19_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JPP_2017-11-28_final
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50JPP_2018-01-27_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50JPP_2018-03-18_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JMT_2018-03-31_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50JPP_2018-05-17_final
2018-05-24 11:43:21	ga_s2bm_ard_3-2-1_50JNM_2018-05-24_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50JQS_2018-07-13_final
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_50JMT_2018-08-08_final
2018-11-23 11:55:23	ga_s2bm_ard_3-2-1_50JPP_2018-11-23_final
2018-12-03 11:54:18	ga_s2bm_ard_3-2-1_50JQT_2018-12-03_final
2019-01-12 11:54:22	ga_s2bm_ard_3-2-1_50JQT_2019-01-12_final
2019-02-01 11:55:24	ga_s2bm_ard_3-2-1_50JMQ_2019-02-01_final
2019-02-11 11:55:20	ga_s2bm_ard_3-2-1_50JMQ_2019-02-11_final
2019-02-24 12:04:35	ga_s2bm_ard_3-2-1_50JMT_2019-02-24_final
2019-05-22 11:54:45	ga_s2bm_ard_3-2-1_50JMT_2019-05-22_final
2019-06-14 12:04:43	ga_s2bm_ard_3-2-1_50JMT_2019-06-14_final
2019-06-21 11:55:34	ga_s2bm_ard_3-2-1_50JPP_2019-06-21_final
2019-07-11 11:55:35	ga_s2bm_ard_3-2-1_50JPP_2019-07-11_final
2019-07-14 12:04:44	ga_s2bm_ard_3-2-1_50JMT_2019-07-14_final
2019-07-21 11:54:49	ga_s2bm_ard_3-2-1_50JMT_2019-07-21_final
2019-07-21 11:54:59	ga_s2bm_ard_3-2-1_50JLS_2019-07-21_final
2019-07-28 11:45:47	ga_s2bm_ard_3-2-1_50JNP_2019-07-28_final
2019-07-31 11:54:48	ga_s2bm_ard_3-2-1_50JMT_2019-07-31_final
2019-08-20 11:54:46	ga_s2bm_ard_3-2-1_50JMT_2019-08-20_final
2019-09-09 11:54:42	ga_s2bm_ard_3-2-1_50JMT_2019-09-09_final
2019-10-09 11:54:24	ga_s2bm_ard_3-2-1_50JQT_2019-10-09_final
2019-10-12 12:04:37	ga_s2bm_ard_3-2-1_50JMT_2019-10-12_final
2019-10-16 11:44:29	ga_s2bm_ard_3-2-1_50JPT_2019-10-16_final
2019-10-29 11:55:27	ga_s2bm_ard_3-2-1_50JPP_2019-10-29_final
2019-11-08 11:55:26	ga_s2bm_ard_3-2-1_50JPP_2019-11-08_final
2019-11-18 11:55:24	ga_s2bm_ard_3-2-1_50JPP_2019-11-18_final
2019-12-15 11:46:18	ga_s2bm_ard_3-2-1_50HPK_2019-12-15_final
2020-03-07 11:55:24	ga_s2bm_ard_3-2-1_50JPP_2020-03-07_final
2020-04-09 12:04:32	ga_s2bm_ard_3-2-1_50JMT_2020-04-09_final
2020-04-10 11:34:40	ga_s2bm_ard_3-2-1_50JRS_2020-04-10_final
2020-06-15 11:54:52	ga_s2bm_ard_3-2-1_50JLT_2020-06-15_final
2020-07-21 12:14:33	ga_s2bm_ard_3-2-1_49JHN_2020-07-21_final
2020-08-17 12:04:39	ga_s2bm_ard_3-2-1_50JMT_2020-08-17_final
2020-08-17 12:04:48	ga_s2bm_ard_3-2-1_50JMS_2020-08-17_final
2020-08-27 12:04:48	ga_s2bm_ard_3-2-1_50JMS_2020-08-27_final
2020-09-03 11:55:29	ga_s2bm_ard_3-2-1_50JPP_2020-09-03_final
2020-09-06 12:04:38	ga_s2bm_ard_3-2-1_50JMT_2020-09-06_final
2020-09-13 11:55:28	ga_s2bm_ard_3-2-1_50JPP_2020-09-13_final
2020-09-16 12:04:37	ga_s2bm_ard_3-2-1_50JMT_2020-09-16_final
2021-03-22 11:55:25	ga_s2bm_ard_3-2-1_50JPP_2021-03-22_final
2021-04-01 11:55:24	ga_s2bm_ard_3-2-1_50JPP_2021-04-01_final
2021-04-04 12:04:33	ga_s2bm_ard_3-2-1_50JMT_2021-04-04_final
2021-04-11 11:54:20	ga_s2bm_ard_3-2-1_50JQT_2021-04-11_final
2021-04-21 11:55:21	ga_s2bm_ard_3-2-1_50JPP_2021-04-21_final
2021-04-24 12:04:30	ga_s2bm_ard_3-2-1_50JMT_2021-04-24_final
2021-05-01 11:55:22	ga_s2bm_ard_3-2-1_50JPP_2021-05-01_final
2021-09-08 11:55:23	ga_s2bm_ard_3-2-1_50JPP_2021-09-08_final
2021-09-18 11:55:23	ga_s2bm_ard_3-2-1_50JPP_2021-09-18_final
2021-12-17 11:54:17	ga_s2bm_ard_3-2-1_50JQT_2021-12-17_final
2022-01-06 11:55:22	ga_s2bm_ard_3-2-1_50JPP_2022-01-06_final
2022-01-16 11:54:19	ga_s2bm_ard_3-2-1_50JQT_2022-01-16_final
2022-01-16 11:54:29	ga_s2bm_ard_3-2-1_50KLU_2022-01-16_final
2022-01-16 11:55:22	ga_s2bm_ard_3-2-1_50JPP_2022-01-16_final
2022-01-26 11:55:20	ga_s2bm_ard_3-2-1_50JPP_2022-01-26_final
2022-02-05 11:55:21	ga_s2bm_ard_3-2-1_50JPP_2022-02-05_final
2022-03-07 11:55:24	ga_s2bm_ard_3-2-1_50JPP_2022-03-07_final
2022-03-17 11:54:21	ga_s2bm_ard_3-2-1_50JQT_2022-03-17_final
2022-03-17 11:55:24	ga_s2bm_ard_3-2-1_50JPP_2022-03-17_final
2022-03-20 12:04:33	ga_s2bm_ard_3-2-1_50JMT_2022-03-20_final
2022-04-23 11:45:34	ga_s2bm_ard_3-2-1_50JNP_2022-04-23_final
2022-05-03 11:45:34	ga_s2bm_ard_3-2-1_50JNP_2022-05-03_final
2022-05-06 11:55:22	ga_s2bm_ard_3-2-1_50JPP_2022-05-06_final
2022-05-16 11:55:25	ga_s2bm_ard_3-2-1_50JPP_2022-05-16_final
2022-09-26 12:04:44	ga_s2bm_ard_3-2-1_50JLS_2022-09-26_final.stac-item
2023-02-20 11:55:25	ga_s2bm_ard_3-2-1_50JPP_2023-02-20_final.stac-item
2023-03-06 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2023-03-06_final.stac-item
2023-03-22 11:55:29	ga_s2bm_ard_3-2-1_50JPP_2023-03-22_final.stac-item
2023-05-11 11:54:36	ga_s2bm_ard_3-2-1_50KLU_2023-05-11_final.stac-item
2023-05-21 11:54:38	ga_s2bm_ard_3-2-1_50KLU_2023-05-21_final.stac-item
2023-05-31 11:55:30	ga_s2bm_ard_3-2-1_50JPP_2023-05-31_final.stac-item
2023-06-03 12:04:34	ga_s2bm_ard_3-2-1_50JMT_2023-06-03_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 11:54:38	ga_s2bm_ard_3-2-1_50KLU_2023-06-10_final.stac-item
2023-06-13 12:04:35	ga_s2bm_ard_3-2-1_50JMT_2023-06-13_final.stac-item
2023-06-30 11:54:38	ga_s2bm_ard_3-2-1_50KLU_2023-06-30_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
2023-07-10 11:54:38	ga_s2bm_ard_3-2-1_50KLU_2023-07-10_final.stac-item
2023-07-20 11:54:39	ga_s2bm_ard_3-2-1_50KLU_2023-07-20_final.stac-item
2023-09-08 11:55:30	ga_s2bm_ard_3-2-1_50JPP_2023-09-08_final.stac-item
2023-09-28 11:55:29	ga_s2bm_ard_3-2-1_50JPP_2023-09-28_final.stac-item
2023-11-17 11:54:32	ga_s2bm_ard_3-2-1_50KLU_2023-11-17_final.stac-item
2024-02-12 11:46:00	ga_s2bm_ard_3-2-1_50JPM_2024-02-12_final.stac-item
2024-03-29 12:04:36	ga_s2bm_ard_3-2-1_50JMT_2024-03-29_final.stac-item
2024-04-25 11:55:25	ga_s2bm_ard_3-2-1_50JPP_2024-04-25_final.stac-item
2024-05-05 11:55:27	ga_s2bm_ard_3-2-1_50JPP_2024-05-05_final.stac-item
2024-05-18 12:04:34	ga_s2bm_ard_3-2-1_50JMT_2024-05-18_final.stac-item
2024-05-25 11:55:26	ga_s2bm_ard_3-2-1_50JPP_2024-05-25_final.stac-item
2024-06-04 11:55:28	ga_s2bm_ard_3-2-1_50JPP_2024-06-04_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