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
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49JGL_2017-09-15_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HMG_2017-11-15_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JGM_2017-11-24_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49KHS_2018-01-20_final.stac-item
2018-01-27 11:56:04	ga_s2bm_ard_3-2-1_50HMH_2018-01-27_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HLH_2018-02-16_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HLK_2018-02-26_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50HLK_2018-03-28_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KHS_2018-03-31_final.stac-item
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49JFM_2018-04-13_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49JGM_2018-04-13_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49KHP_2018-04-20_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HMH_2018-05-24_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HNJ_2018-06-23_final
2018-07-13 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2018-07-13_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49JGM_2018-07-19_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49KHR_2018-07-29_final
2018-08-01 12:13:25	ga_s2bm_ard_3-2-1_49JGM_2018-08-01_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50HLK_2018-09-04_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HLH_2018-09-21_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50HMH_2018-11-03_final
2018-11-16 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2018-11-16_final
2019-01-12 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2019-01-12_final
2019-01-19 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2019-01-19_final.stac-item
2019-02-14 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2019-02-14_final
2019-02-24 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2019-02-24_final
2019-09-12 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2019-09-12_final
2019-12-21 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2019-12-21_final
2019-12-25 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2019-12-25_final
2019-12-28 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2019-12-28_final
2019-12-31 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2019-12-31_final
2020-01-13 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2020-01-13_final
2020-02-22 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2020-02-22_final
2020-03-07 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2020-03-07_final
2020-03-10 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2020-03-10_final
2020-03-13 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-03-13_final
2020-04-23 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2020-04-23_final
2020-04-29 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2020-04-29_final
2020-09-26 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-09-26_final
2020-11-15 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2020-11-15_final
2021-01-21 11:57:12	ga_s2bm_ard_3-2-1_50HMH_2021-01-21_final
2021-01-24 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2021-01-24_final
2021-01-27 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2021-01-27_final
2021-02-06 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2021-02-06_final
2021-02-13 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2021-02-13_final.stac-item
2021-02-23 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2021-02-23_final
2021-03-02 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-03-02_final
2021-05-08 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2021-05-08_final
2021-05-14 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2021-05-14_final
2021-07-07 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2021-07-07_final
2021-07-23 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2021-07-23_final
2021-07-23 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2021-07-23_final
2021-08-12 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2021-08-12_final
2021-12-04 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-12-04_final
2021-12-10 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2021-12-10_final
2021-12-10 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2021-12-10_final
2021-12-13 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2021-12-13_final
2022-01-02 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2022-01-02_final
2022-01-02 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2022-01-02_final
2022-01-19 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2022-01-19_final
2022-01-29 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2022-01-29_final
2022-02-11 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2022-02-11_final
2022-03-30 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2022-03-30_final
2022-05-03 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2022-05-03_final
2022-09-06 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2022-09-06_final.stac-item
2022-09-10 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2022-09-10_final.stac-item
2022-09-16 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2022-09-16_final.stac-item
2022-09-16 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2022-09-16_final.stac-item
2022-09-19 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2022-09-19_final.stac-item
2022-09-19 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2022-09-19_final.stac-item
2022-09-29 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2022-09-29_final.stac-item
2022-10-16 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2022-10-16_final.stac-item
2022-10-16 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2022-10-16_final.stac-item
2022-10-19 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2022-10-19_final.stac-item
2022-10-26 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2022-10-26_final.stac-item
2022-11-18 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-11-18_final.stac-item
2022-12-19 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2022-12-19_final.stac-item
2022-12-25 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2022-12-25_final.stac-item
2023-01-07 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2023-01-07_final.stac-item
2023-01-27 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-01-27_final.stac-item
2023-02-17 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2023-02-17_final.stac-item
2023-04-11 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2023-04-11_final.stac-item
2023-04-24 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-04-24_final.stac-item
2023-05-14 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2023-05-14_final.stac-item
2023-06-17 11:46:57	ga_s2bm_ard_3-2-1_50HNJ_2023-06-17_final.stac-item
2023-06-23 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-06-23_final.stac-item
2023-07-06 12:15:16	ga_s2bm_ard_3-2-1_49JGL_2023-07-06_final.stac-item
2023-09-24 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2023-09-24_final.stac-item
2023-10-05 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2023-10-05_final.stac-item
2023-10-21 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-10-21_final.stac-item
2023-10-21 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2023-10-21_final.stac-item
2023-11-03 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-11-03_final.stac-item
2023-11-20 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2023-11-20_final.stac-item
2023-11-30 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2023-11-30_final.stac-item
2024-01-16 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2024-01-16_final.stac-item
2024-01-19 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2024-01-19_final.stac-item
2024-02-08 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2024-02-08_final.stac-item
2024-02-11 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2024-02-11_final.stac-item
2024-03-12 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2024-03-12_final.stac-item
2024-05-08 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2024-05-08_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