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
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50HLJ_2017-10-19_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49JGM_2017-11-11_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JGL_2017-12-01_final
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49JFM_2017-12-24_final
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49JGL_2017-12-24_final
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49JGM_2017-12-24_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49KHS_2018-01-10_final.stac-item
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49JGM_2018-02-22_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HLH_2018-02-26_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49KHP_2018-06-09_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49KGQ_2018-08-21_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50HLJ_2018-09-04_final
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49KGR_2018-09-30_final
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49KHR_2018-10-10_final
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49JGL_2018-10-20_final
2018-11-16 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2018-11-16_final
2019-02-04 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2019-02-04_final
2019-03-19 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2019-03-19_final
2019-04-05 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2019-04-05_final
2019-04-15 12:04:33	ga_s2bm_ard_3-2-1_49KHP_2019-04-15_final
2019-05-05 12:03:52	ga_s2bm_ard_3-2-1_49KHS_2019-05-05_final.stac-item
2019-05-28 12:15:04	ga_s2bm_ard_3-2-1_49JGM_2019-05-28_final
2019-06-14 12:04:06	ga_s2bm_ard_3-2-1_49KHR_2019-06-14_final
2019-06-18 11:47:32	ga_s2bm_ard_3-2-1_50HMG_2019-06-18_final.stac-item
2019-07-07 12:14:03	ga_s2bm_ard_3-2-1_49KHR_2019-07-07_final
2019-11-01 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2019-11-01_final
2019-11-04 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-11-04_final
2019-11-24 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2019-11-24_final
2019-12-14 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2019-12-14_final
2019-12-25 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2019-12-25_final.stac-item
2020-01-23 12:15:04	ga_s2bm_ard_3-2-1_49JGL_2020-01-23_final
2020-01-24 11:47:07	ga_s2bm_ard_3-2-1_50HLH_2020-01-24_final
2020-02-02 12:13:48	ga_s2bm_ard_3-2-1_49KHR_2020-02-02_final
2020-03-13 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-03-13_final
2020-05-13 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2020-05-13_final
2020-05-19 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2020-05-19_final
2020-05-22 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2020-05-22_final
2020-06-11 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2020-06-11_final
2020-07-28 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-07-28_final
2020-08-30 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-08-30_final
2020-09-29 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-09-29_final
2020-12-02 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2020-12-02_final
2020-12-25 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2020-12-25_final
2021-01-14 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-01-14_final
2021-01-17 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2021-01-17_final
2021-04-27 12:14:55	ga_s2bm_ard_3-2-1_49JFM_2021-04-27_final
2021-07-13 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2021-07-13_final
2021-09-01 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2021-09-01_final
2021-10-31 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-10-31_final
2021-11-14 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2021-11-14_final.stac-item
2021-11-20 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2021-11-20_final
2021-12-04 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2021-12-04_final.stac-item
2022-01-12 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2022-01-12_final
2022-01-26 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2022-01-26_final
2022-02-21 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2022-02-21_final
2022-03-03 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2022-03-03_final
2022-03-10 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2022-03-10_final
2022-03-13 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2022-03-13_final
2022-04-26 11:56:48	ga_s2bm_ard_3-2-1_50HLJ_2022-04-26_final
2022-05-02 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2022-05-02_final
2022-05-09 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2022-05-09_final
2022-07-05 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2022-07-05_final
2022-07-15 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2022-07-15_final
2022-07-21 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2022-07-21_final
2022-08-10 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2022-08-10_final
2022-08-17 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2022-08-17_final
2022-08-20 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2022-08-20_final
2022-09-09 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2022-09-09_final.stac-item
2022-11-05 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2022-11-05_final.stac-item
2022-11-25 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2022-11-25_final.stac-item
2022-12-08 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2022-12-08_final.stac-item
2022-12-22 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2022-12-22_final.stac-item
2023-01-01 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2023-01-01_final.stac-item
2023-01-11 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2023-01-11_final.stac-item
2023-01-14 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2023-01-14_final.stac-item
2023-01-28 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2023-01-28_final.stac-item
2023-02-03 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2023-02-03_final.stac-item
2023-05-04 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-05-04_final.stac-item
2023-05-04 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2023-05-04_final.stac-item
2023-05-31 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2023-05-31_final.stac-item
2023-06-06 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2023-06-06_final.stac-item
2023-07-07 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2023-07-07_final.stac-item
2023-07-10 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2023-07-10_final.stac-item
2023-07-26 12:15:16	ga_s2bm_ard_3-2-1_49JGL_2023-07-26_final.stac-item
2023-09-11 12:05:25	ga_s2bm_ard_3-2-1_49JGL_2023-09-11_final.stac-item
2023-09-24 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2023-09-24_final.stac-item
2023-11-10 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-11-10_final.stac-item
2023-11-20 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2023-11-20_final.stac-item
2023-11-30 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2023-11-30_final.stac-item
2023-12-13 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2023-12-13_final.stac-item
2023-12-13 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2023-12-13_final.stac-item
2023-12-17 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2023-12-17_final.stac-item
2024-01-26 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2024-01-26_final.stac-item
2024-02-08 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2024-02-08_final.stac-item
2024-03-02 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2024-03-02_final.stac-item
2024-03-09 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2024-03-09_final.stac-item
2024-03-19 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2024-03-19_final.stac-item
2024-04-18 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2024-04-18_final.stac-item
2024-04-18 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2024-04-18_final.stac-item
2024-05-21 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2024-05-21_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