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_50JMR_2017-07-11_final
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JLT_2017-07-31_final
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50JMR_2017-10-19_final
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50JMR_2018-01-07_final
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50JMR_2018-01-27_final
2018-01-27 11:56:04	ga_s2bm_ard_3-2-1_50JMM_2018-01-27_final
2018-02-02 12:13:14	ga_s2bm_ard_3-2-1_49KHS_2018-02-02_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JMQ_2018-03-08_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50JMR_2018-03-18_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JMQ_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JMR_2018-03-28_final
2018-05-10 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2018-05-10_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50JMQ_2018-05-17_final
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_50JMR_2018-05-30_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50JMR_2018-06-09_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JMR_2018-06-26_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JMR_2018-06-29_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JLT_2018-08-25_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JMQ_2018-08-25_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JMR_2018-08-25_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JMR_2018-09-04_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50JMR_2018-09-07_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JMR_2018-09-24_final
2018-11-26 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2018-11-26_final
2018-11-27 11:37:22	ga_s2bm_ard_3-2-1_50HNG_2018-11-27_final.stac-item
2018-12-13 11:55:03	ga_s2bm_ard_3-2-1_50JMR_2018-12-13_final
2019-02-01 11:54:45	ga_s2bm_ard_3-2-1_50JLT_2019-02-01_final
2019-02-04 12:05:08	ga_s2bm_ard_3-2-1_50JLR_2019-02-04_final
2019-03-16 12:05:19	ga_s2bm_ard_3-2-1_50JKQ_2019-03-16_final
2019-05-05 12:05:06	ga_s2bm_ard_3-2-1_50JMR_2019-05-05_final
2019-05-15 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2019-05-15_final
2019-05-22 11:55:33	ga_s2bm_ard_3-2-1_50JMQ_2019-05-22_final
2019-06-04 12:05:20	ga_s2bm_ard_3-2-1_50JKR_2019-06-04_final
2019-07-14 12:05:02	ga_s2bm_ard_3-2-1_50JLS_2019-07-14_final
2019-08-10 11:55:31	ga_s2bm_ard_3-2-1_50JMQ_2019-08-10_final
2019-08-20 11:55:15	ga_s2bm_ard_3-2-1_50JMR_2019-08-20_final
2019-08-20 11:55:30	ga_s2bm_ard_3-2-1_50JMQ_2019-08-20_final
2019-09-02 12:05:02	ga_s2bm_ard_3-2-1_50JMR_2019-09-02_final
2019-09-09 11:55:11	ga_s2bm_ard_3-2-1_50JMR_2019-09-09_final
2019-11-18 11:54:42	ga_s2bm_ard_3-2-1_50JLT_2019-11-18_final
2019-11-18 11:55:08	ga_s2bm_ard_3-2-1_50JMR_2019-11-18_final
2019-11-28 11:55:20	ga_s2bm_ard_3-2-1_50JMQ_2019-11-28_final
2019-12-01 12:04:54	ga_s2bm_ard_3-2-1_50JMR_2019-12-01_final
2019-12-15 11:46:18	ga_s2bm_ard_3-2-1_50HPK_2019-12-15_final
2019-12-18 11:55:04	ga_s2bm_ard_3-2-1_50JMR_2019-12-18_final
2020-01-17 11:55:18	ga_s2bm_ard_3-2-1_50JMQ_2020-01-17_final
2020-01-23 12:14:24	ga_s2bm_ard_3-2-1_49JHN_2020-01-23_final
2020-02-10 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2020-02-10_final.stac-item
2020-02-16 11:55:05	ga_s2bm_ard_3-2-1_50JMR_2020-02-16_final
2020-04-06 11:54:41	ga_s2bm_ard_3-2-1_50JLT_2020-04-06_final
2020-04-06 11:54:47	ga_s2bm_ard_3-2-1_50JLS_2020-04-06_final
2020-04-09 12:05:18	ga_s2bm_ard_3-2-1_50JKQ_2020-04-09_final
2020-05-19 12:05:19	ga_s2bm_ard_3-2-1_50JKQ_2020-05-19_final
2020-06-05 11:54:46	ga_s2bm_ard_3-2-1_50JLT_2020-06-05_final
2020-07-08 12:05:23	ga_s2bm_ard_3-2-1_50JKQ_2020-07-08_final
2020-07-15 11:54:46	ga_s2bm_ard_3-2-1_50JLT_2020-07-15_final
2020-07-18 12:05:21	ga_s2bm_ard_3-2-1_50JKQ_2020-07-18_final
2020-09-13 11:55:12	ga_s2bm_ard_3-2-1_50JMR_2020-09-13_final
2020-09-23 11:55:12	ga_s2bm_ard_3-2-1_50JMR_2020-09-23_final
2020-10-23 11:55:13	ga_s2bm_ard_3-2-1_50JMR_2020-10-23_final
2020-12-22 11:55:06	ga_s2bm_ard_3-2-1_50JMR_2020-12-22_final
2021-01-31 11:55:24	ga_s2bm_ard_3-2-1_50JMQ_2021-01-31_final
2021-02-10 11:55:18	ga_s2bm_ard_3-2-1_50JMQ_2021-02-10_final
2021-03-29 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2021-03-29_final
2021-05-14 12:04:45	ga_s2bm_ard_3-2-1_50JLS_2021-05-14_final
2021-08-02 12:05:00	ga_s2bm_ard_3-2-1_50JMR_2021-08-02_final
2021-08-12 12:04:59	ga_s2bm_ard_3-2-1_50JMR_2021-08-12_final
2021-10-08 11:54:45	ga_s2bm_ard_3-2-1_50JLT_2021-10-08_final
2021-10-18 11:54:46	ga_s2bm_ard_3-2-1_50JLT_2021-10-18_final
2021-12-07 11:55:05	ga_s2bm_ard_3-2-1_50JMR_2021-12-07_final
2022-01-26 11:54:38	ga_s2bm_ard_3-2-1_50JLT_2022-01-26_final
2022-01-26 11:55:04	ga_s2bm_ard_3-2-1_50JMR_2022-01-26_final
2022-02-05 11:55:04	ga_s2bm_ard_3-2-1_50JMR_2022-02-05_final
2022-03-07 11:55:07	ga_s2bm_ard_3-2-1_50JMR_2022-03-07_final
2022-03-17 11:55:08	ga_s2bm_ard_3-2-1_50JMR_2022-03-17_final
2022-04-29 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2022-04-29_final
2022-04-29 12:04:52	ga_s2bm_ard_3-2-1_50JMR_2022-04-29_final
2022-07-08 12:04:49	ga_s2bm_ard_3-2-1_50JLT_2022-07-08_final
2022-08-07 12:04:48	ga_s2bm_ard_3-2-1_50JLT_2022-08-07_final
2022-08-27 12:04:44	ga_s2bm_ard_3-2-1_50JLT_2022-08-27_final.stac-item
2022-09-16 12:05:01	ga_s2bm_ard_3-2-1_50JMR_2022-09-16_final.stac-item
2022-09-26 12:04:45	ga_s2bm_ard_3-2-1_50JLT_2022-09-26_final.stac-item
2022-09-26 12:04:59	ga_s2bm_ard_3-2-1_50JMR_2022-09-26_final.stac-item
2022-10-06 12:04:56	ga_s2bm_ard_3-2-1_50JMR_2022-10-06_final.stac-item
2022-10-26 12:04:58	ga_s2bm_ard_3-2-1_50JMR_2022-10-26_final.stac-item
2022-11-02 11:55:22	ga_s2bm_ard_3-2-1_50JMQ_2022-11-02_final.stac-item
2022-11-12 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2022-11-12_final.stac-item
2023-01-21 11:55:22	ga_s2bm_ard_3-2-1_50JMQ_2023-01-21_final.stac-item
2023-01-24 12:04:57	ga_s2bm_ard_3-2-1_50JMR_2023-01-24_final.stac-item
2023-01-31 11:55:21	ga_s2bm_ard_3-2-1_50JMQ_2023-01-31_final.stac-item
2023-02-13 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2023-02-13_final.stac-item
2023-02-20 11:55:09	ga_s2bm_ard_3-2-1_50JMR_2023-02-20_final.stac-item
2023-03-05 12:05:10	ga_s2bm_ard_3-2-1_50JLR_2023-03-05_final.stac-item
2023-06-10 11:55:29	ga_s2bm_ard_3-2-1_50JMQ_2023-06-10_final.stac-item
2023-07-17 11:46:59	ga_s2bm_ard_3-2-1_50HQH_2023-07-17_final.stac-item
2023-07-20 11:55:30	ga_s2bm_ard_3-2-1_50JMQ_2023-07-20_final.stac-item
2023-08-09 11:54:50	ga_s2bm_ard_3-2-1_50JLT_2023-08-09_final.stac-item
2023-08-19 11:55:29	ga_s2bm_ard_3-2-1_50JMQ_2023-08-19_final.stac-item
2023-08-29 11:55:28	ga_s2bm_ard_3-2-1_50JMQ_2023-08-29_final.stac-item
2023-10-18 11:55:12	ga_s2bm_ard_3-2-1_50JMR_2023-10-18_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