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
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HPG_2017-08-07_final.stac-item
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HPJ_2017-08-07_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50HMH_2017-11-08_final
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HMG_2018-04-17_final.stac-item
2018-04-20 12:02:48	ga_s2bm_ard_3-2-1_49KHR_2018-04-20_final
2018-04-20 12:02:48	ga_s2bm_ard_3-2-1_49KHS_2018-04-20_final.stac-item
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49KHS_2018-05-23_final.stac-item
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_50HPG_2018-06-20_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JGJ_2018-07-09_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49JGJ_2018-07-19_final
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49JGL_2018-07-22_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_50HPG_2018-09-08_final.stac-item
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49JGM_2018-09-17_final
2018-12-07 11:37:12	ga_s2bm_ard_3-2-1_50HQG_2018-12-07_final.stac-item
2018-12-26 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2018-12-26_final
2019-01-08 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2019-01-08_final
2019-02-14 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2019-02-14_final.stac-item
2019-03-13 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2019-03-13_final
2019-03-20 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2019-03-20_final.stac-item
2019-04-06 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2019-04-06_final.stac-item
2019-04-26 11:37:28	ga_s2bm_ard_3-2-1_50HPG_2019-04-26_final.stac-item
2019-05-29 11:46:42	ga_s2bm_ard_3-2-1_50HPK_2019-05-29_final
2019-05-29 11:47:36	ga_s2bm_ard_3-2-1_50HLG_2019-05-29_final.stac-item
2019-06-08 11:46:48	ga_s2bm_ard_3-2-1_50HMK_2019-06-08_final
2019-06-18 11:47:25	ga_s2bm_ard_3-2-1_50HPG_2019-06-18_final.stac-item
2019-08-04 11:37:10	ga_s2bm_ard_3-2-1_50HQH_2019-08-04_final
2019-09-22 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2019-09-22_final
2019-10-26 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2019-10-26_final
2019-11-12 11:37:20	ga_s2bm_ard_3-2-1_50HPG_2019-11-12_final.stac-item
2019-11-22 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2019-11-22_final.stac-item
2019-12-21 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2019-12-21_final
2020-01-04 11:46:29	ga_s2bm_ard_3-2-1_50HPK_2020-01-04_final
2020-01-04 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-01-04_final
2020-01-20 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2020-01-20_final
2020-01-24 11:47:07	ga_s2bm_ard_3-2-1_50HLH_2020-01-24_final
2020-02-09 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2020-02-09_final
2020-02-13 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2020-02-13_final.stac-item
2020-02-16 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2020-02-16_final
2020-02-19 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2020-02-19_final
2020-04-10 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2020-04-10_final.stac-item
2020-04-23 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-04-23_final
2020-07-02 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2020-07-02_final.stac-item
2020-08-10 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2020-08-10_final
2020-08-27 12:05:47	ga_s2bm_ard_3-2-1_49JGJ_2020-08-27_final
2020-10-07 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2020-10-07_final
2020-10-10 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2020-10-10_final.stac-item
2020-10-17 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2020-10-17_final.stac-item
2020-10-27 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2020-10-27_final
2020-11-19 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2020-11-19_final
2020-12-05 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2020-12-05_final
2020-12-09 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2020-12-09_final
2020-12-12 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2020-12-12_final
2020-12-28 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-12-28_final
2020-12-28 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2020-12-28_final
2020-12-29 11:47:25	ga_s2bm_ard_3-2-1_50HLG_2020-12-29_final.stac-item
2021-01-01 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2021-01-01_final
2021-01-31 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2021-01-31_final
2021-02-17 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-02-17_final
2021-03-08 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2021-03-08_final
2021-03-16 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2021-03-16_final.stac-item
2021-03-19 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-03-19_final
2021-03-29 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2021-03-29_final.stac-item
2021-06-23 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2021-06-23_final
2021-07-03 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-07-03_final
2021-07-04 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2021-07-04_final
2021-07-17 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2021-07-17_final
2021-07-26 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2021-07-26_final
2021-08-12 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2021-08-12_final
2021-09-11 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2021-09-11_final
2021-11-20 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2021-11-20_final
2021-11-23 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2021-11-23_final
2021-12-04 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2021-12-04_final
2021-12-13 12:13:44	ga_s2bm_ard_3-2-1_49KHR_2021-12-13_final
2022-01-03 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2022-01-03_final
2022-05-03 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2022-05-03_final
2022-05-20 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2022-05-20_final.stac-item
2022-07-19 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2022-07-19_final
2022-09-29 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2022-09-29_final.stac-item
2022-10-26 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2022-10-26_final.stac-item
2022-11-06 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2022-11-06_final.stac-item
2022-11-15 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-11-15_final.stac-item
2022-11-22 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2022-11-22_final.stac-item
2022-12-02 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2022-12-02_final.stac-item
2022-12-29 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2022-12-29_final.stac-item
2023-01-21 11:57:02	ga_s2bm_ard_3-2-1_50HLH_2023-01-21_final.stac-item
2023-04-05 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2023-04-05_final.stac-item
2023-04-08 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2023-04-08_final.stac-item
2023-06-07 11:46:38	ga_s2bm_ard_3-2-1_50HPK_2023-06-07_final.stac-item
2023-06-14 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2023-06-14_final.stac-item
2023-06-24 11:36:42	ga_s2bm_ard_3-2-1_50HPK_2023-06-24_final.stac-item
2023-06-24 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2023-06-24_final.stac-item
2023-09-05 11:47:21	ga_s2bm_ard_3-2-1_50HPG_2023-09-05_final.stac-item
2023-09-14 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2023-09-14_final.stac-item
2023-10-15 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2023-10-15_final.stac-item
2023-11-23 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2023-11-23_final.stac-item
2024-01-23 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2024-01-23_final.stac-item
2024-01-30 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2024-01-30_final.stac-item
2024-02-01 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2024-02-01_final.stac-item
2024-02-15 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2024-02-15_final.stac-item
2024-03-20 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2024-03-20_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