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
2018-11-23 11:55:38	ga_s2bm_ard_3-2-1_50JLP_2018-11-23_final
2018-12-13 11:55:35	ga_s2bm_ard_3-2-1_50JLP_2018-12-13_final
2019-01-12 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2019-01-12_final
2019-01-22 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2019-01-22_final
2019-02-11 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2019-02-11_final
2019-03-03 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2019-03-03_final
2019-06-01 11:55:50	ga_s2bm_ard_3-2-1_50JLP_2019-06-01_final
2019-06-11 11:55:52	ga_s2bm_ard_3-2-1_50JLP_2019-06-11_final
2019-06-21 11:55:50	ga_s2bm_ard_3-2-1_50JLP_2019-06-21_final
2019-07-01 11:55:50	ga_s2bm_ard_3-2-1_50JLP_2019-07-01_final
2019-07-11 11:55:51	ga_s2bm_ard_3-2-1_50JLP_2019-07-11_final
2019-07-21 11:55:50	ga_s2bm_ard_3-2-1_50JLP_2019-07-21_final
2019-07-31 11:55:50	ga_s2bm_ard_3-2-1_50JLP_2019-07-31_final
2019-08-10 11:55:49	ga_s2bm_ard_3-2-1_50JLP_2019-08-10_final
2019-08-20 11:55:47	ga_s2bm_ard_3-2-1_50JLP_2019-08-20_final
2019-08-30 11:55:46	ga_s2bm_ard_3-2-1_50JLP_2019-08-30_final
2019-09-09 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2019-09-09_final
2019-09-19 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2019-09-19_final
2019-09-29 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2019-09-29_final
2019-10-09 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2019-10-09_final
2019-10-19 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2019-10-19_final
2019-10-29 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2019-10-29_final
2019-11-08 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2019-11-08_final
2019-11-18 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2019-11-18_final
2019-11-28 11:55:38	ga_s2bm_ard_3-2-1_50JLP_2019-11-28_final
2019-12-08 11:55:36	ga_s2bm_ard_3-2-1_50JLP_2019-12-08_final
2019-12-18 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2019-12-18_final
2019-12-28 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2019-12-28_final
2020-01-07 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2020-01-07_final
2020-01-17 11:55:36	ga_s2bm_ard_3-2-1_50JLP_2020-01-17_final
2020-01-27 11:55:34	ga_s2bm_ard_3-2-1_50JLP_2020-01-27_final
2020-02-06 11:55:36	ga_s2bm_ard_3-2-1_50JLP_2020-02-06_final
2020-02-16 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2020-02-16_final
2020-02-26 11:55:39	ga_s2bm_ard_3-2-1_50JLP_2020-02-26_final
2020-03-07 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2020-03-07_final
2020-03-17 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2020-03-17_final
2020-03-27 11:55:39	ga_s2bm_ard_3-2-1_50JLP_2020-03-27_final
2020-04-06 11:55:39	ga_s2bm_ard_3-2-1_50JLP_2020-04-06_final
2020-04-16 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2020-04-16_final
2020-04-26 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2020-04-26_final
2020-05-06 11:55:39	ga_s2bm_ard_3-2-1_50JLP_2020-05-06_final
2020-05-16 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2020-05-16_final
2020-05-26 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2020-05-26_final
2020-06-05 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2020-06-05_final
2020-06-15 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2020-06-15_final
2020-06-25 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2020-06-25_final
2020-07-05 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2020-07-05_final
2020-07-15 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2020-07-15_final
2020-07-25 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2020-07-25_final
2020-08-04 11:55:45	ga_s2bm_ard_3-2-1_50JLP_2020-08-04_final
2020-08-14 11:55:45	ga_s2bm_ard_3-2-1_50JLP_2020-08-14_final
2020-08-24 11:55:45	ga_s2bm_ard_3-2-1_50JLP_2020-08-24_final
2020-09-03 11:55:45	ga_s2bm_ard_3-2-1_50JLP_2020-09-03_final
2020-09-13 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2020-09-13_final
2020-09-23 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2020-09-23_final
2020-10-03 11:55:45	ga_s2bm_ard_3-2-1_50JLP_2020-10-03_final
2020-10-13 11:55:45	ga_s2bm_ard_3-2-1_50JLP_2020-10-13_final
2020-10-23 11:55:45	ga_s2bm_ard_3-2-1_50JLP_2020-10-23_final
2020-11-02 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2020-11-02_final
2020-11-12 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2020-11-12_final
2020-11-22 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2020-11-22_final
2020-12-02 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2020-12-02_final
2020-12-12 11:55:39	ga_s2bm_ard_3-2-1_50JLP_2020-12-12_final
2020-12-22 11:55:38	ga_s2bm_ard_3-2-1_50JLP_2020-12-22_final
2021-01-01 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2021-01-01_final
2021-01-11 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2021-01-11_final
2021-01-21 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2021-01-21_final
2021-01-31 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2021-01-31_final
2021-02-10 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2021-02-10_final
2021-02-20 11:55:39	ga_s2bm_ard_3-2-1_50JLP_2021-02-20_final
2021-03-02 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2021-03-02_final
2021-03-12 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2021-03-12_final
2021-03-22 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2021-03-22_final
2021-04-01 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2021-04-01_final
2021-04-11 11:55:38	ga_s2bm_ard_3-2-1_50JLP_2021-04-11_final
2021-04-21 11:55:36	ga_s2bm_ard_3-2-1_50JLP_2021-04-21_final
2022-12-12 11:57:25	ga_s2bm_ard_3-2-1_50HMF_2022-12-12_nrt.stac-item
2022-12-19 11:47:33	ga_s2bm_ard_3-2-1_50HMF_2022-12-19_nrt.stac-item
2022-12-22 11:57:27	ga_s2bm_ard_3-2-1_50HMF_2022-12-22_nrt.stac-item
2022-12-29 11:47:33	ga_s2bm_ard_3-2-1_50HMF_2022-12-29_nrt.stac-item
2023-01-01 11:57:27	ga_s2bm_ard_3-2-1_50HMF_2023-01-01_nrt.stac-item
2023-01-08 11:47:31	ga_s2bm_ard_3-2-1_50HMF_2023-01-08_nrt.stac-item
2023-01-11 11:57:24	ga_s2bm_ard_3-2-1_50HMF_2023-01-11_nrt.stac-item
2023-01-18 11:47:31	ga_s2bm_ard_3-2-1_50HMF_2023-01-18_nrt.stac-item
2023-01-21 11:57:26	ga_s2bm_ard_3-2-1_50HMF_2023-01-21_nrt.stac-item
2023-01-28 11:47:31	ga_s2bm_ard_3-2-1_50HMF_2023-01-28_nrt.stac-item
2023-01-31 11:57:25	ga_s2bm_ard_3-2-1_50HMF_2023-01-31_nrt.stac-item
2023-02-07 11:47:32	ga_s2bm_ard_3-2-1_50HMF_2023-02-07_nrt.stac-item
2023-02-10 11:57:27	ga_s2bm_ard_3-2-1_50HMF_2023-02-10_nrt.stac-item
2023-02-17 11:47:32	ga_s2bm_ard_3-2-1_50HMF_2023-02-17_nrt.stac-item
2023-02-20 11:57:27	ga_s2bm_ard_3-2-1_50HMF_2023-02-20_nrt.stac-item
2023-02-27 11:47:34	ga_s2bm_ard_3-2-1_50HMF_2023-02-27_nrt.stac-item
2023-03-09 11:47:36	ga_s2bm_ard_3-2-1_50HMF_2023-03-09_nrt.stac-item
2023-03-12 11:57:33	ga_s2bm_ard_3-2-1_50HMF_2023-03-12_nrt.stac-item
2023-03-19 11:47:37	ga_s2bm_ard_3-2-1_50HMF_2023-03-19_nrt.stac-item
2023-03-22 11:57:31	ga_s2bm_ard_3-2-1_50HMF_2023-03-22_nrt.stac-item
2023-03-29 11:47:37	ga_s2bm_ard_3-2-1_50HMF_2023-03-29_nrt.stac-item
2023-04-01 11:57:32	ga_s2bm_ard_3-2-1_50HMF_2023-04-01_nrt.stac-item
2023-04-08 11:47:36	ga_s2bm_ard_3-2-1_50HMF_2023-04-08_nrt.stac-item
2023-04-11 11:57:30	ga_s2bm_ard_3-2-1_50HMF_2023-04-11_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