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
2017-12-02 11:34:20	ga_s2bm_ard_3-2-1_50HNG_2017-12-02_final.stac-item
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49JGL_2017-12-24_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HMJ_2017-12-25_final
2018-02-02 12:13:14	ga_s2bm_ard_3-2-1_49JGN_2018-02-02_final
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49KHR_2018-02-12_final
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49KGR_2018-02-22_final
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49KHS_2018-02-22_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49KHR_2018-03-01_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50HMJ_2018-03-28_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KGP_2018-03-31_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49KGP_2018-04-10_final
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HMK_2018-04-17_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49KGP_2018-04-20_final
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49KHS_2018-04-23_final.stac-item
2018-08-01 12:13:25	ga_s2bm_ard_3-2-1_49JGM_2018-08-01_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49KHS_2018-08-18_final.stac-item
2018-08-29 11:37:08	ga_s2bm_ard_3-2-1_50HNG_2018-08-29_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49KHS_2018-09-07_final.stac-item
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49KGP_2018-10-07_final
2018-11-09 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2018-11-09_final
2018-11-19 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2018-11-19_final
2018-11-30 11:47:10	ga_s2bm_ard_3-2-1_50HLH_2018-11-30_final
2018-12-26 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2018-12-26_final
2018-12-26 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2018-12-26_final
2018-12-29 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2018-12-29_final
2019-01-08 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2019-01-08_final
2019-02-01 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2019-02-01_final.stac-item
2019-02-18 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-02-18_final
2019-02-21 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2019-02-21_final
2019-04-15 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2019-04-15_final
2019-05-19 11:46:46	ga_s2bm_ard_3-2-1_50HNK_2019-05-19_final
2019-08-06 12:15:03	ga_s2bm_ard_3-2-1_49JGM_2019-08-06_final
2019-11-08 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2019-11-08_final.stac-item
2020-02-06 11:57:00	ga_s2bm_ard_3-2-1_50HMH_2020-02-06_final
2020-02-13 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2020-02-13_final
2020-05-16 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2020-05-16_final.stac-item
2020-05-30 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2020-05-30_final.stac-item
2020-07-12 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2020-07-12_final
2020-07-22 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2020-07-22_final
2020-08-28 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2020-08-28_final.stac-item
2020-10-19 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2020-10-19_final
2020-10-20 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2020-10-20_final
2020-11-05 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-11-05_final
2020-11-22 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2020-11-22_final.stac-item
2020-11-28 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2020-11-28_final
2020-11-28 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2020-11-28_final
2020-12-06 11:37:25	ga_s2bm_ard_3-2-1_50HNG_2020-12-06_final.stac-item
2020-12-08 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-12-08_final
2020-12-19 11:46:33	ga_s2bm_ard_3-2-1_50HNK_2020-12-19_final
2020-12-22 11:57:17	ga_s2bm_ard_3-2-1_50HMG_2020-12-22_final.stac-item
2020-12-25 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2020-12-25_final
2021-01-07 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2021-01-07_final
2021-01-28 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2021-01-28_final
2021-02-14 11:37:25	ga_s2bm_ard_3-2-1_50HNG_2021-02-14_final.stac-item
2021-03-25 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2021-03-25_final
2021-04-27 12:14:55	ga_s2bm_ard_3-2-1_49JFM_2021-04-27_final
2021-04-28 11:46:33	ga_s2bm_ard_3-2-1_50HNK_2021-04-28_final
2021-06-16 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-06-16_final
2021-06-17 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-06-17_final
2021-06-23 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2021-06-23_final
2021-07-06 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2021-07-06_final.stac-item
2021-08-16 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2021-08-16_final.stac-item
2021-09-14 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2021-09-14_final
2021-09-15 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2021-09-15_final
2021-11-30 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2021-11-30_final
2022-01-22 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2022-01-22_final
2022-02-05 11:56:24	ga_s2bm_ard_3-2-1_50HNK_2022-02-05_final
2022-02-18 12:04:07	ga_s2bm_ard_3-2-1_49KHQ_2022-02-18_final
2022-02-21 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2022-02-21_final
2022-04-09 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2022-04-09_final.stac-item
2022-04-22 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2022-04-22_final
2022-06-21 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2022-06-21_final
2022-06-28 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2022-06-28_final
2022-06-29 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2022-06-29_final.stac-item
2022-08-17 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2022-08-17_final
2022-08-27 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2022-08-27_final.stac-item
2022-12-02 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2022-12-02_final.stac-item
2023-01-21 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-01-21_final.stac-item
2023-03-05 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-03-05_final.stac-item
2023-03-05 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2023-03-05_final.stac-item
2023-03-09 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2023-03-09_final.stac-item
2023-04-01 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2023-04-01_final.stac-item
2023-05-04 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-05-04_final.stac-item
2023-06-07 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2023-06-07_final.stac-item
2023-06-16 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-06-16_final.stac-item
2023-08-22 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-08-22_final.stac-item
2023-09-12 11:37:30	ga_s2bm_ard_3-2-1_50HNG_2023-09-12_final.stac-item
2023-10-08 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2023-10-08_final.stac-item
2023-10-21 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-10-21_final.stac-item
2023-11-07 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-11-07_final.stac-item
2023-11-10 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-11-10_final.stac-item
2023-11-13 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2023-11-13_final.stac-item
2023-11-17 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2023-11-17_final.stac-item
2023-11-24 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2023-11-24_final.stac-item
2023-12-30 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-12-30_final.stac-item
2024-01-06 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2024-01-06_final.stac-item
2024-01-16 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2024-01-16_final.stac-item
2024-02-02 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2024-02-02_final.stac-item
2024-02-08 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2024-02-08_final.stac-item
2024-02-21 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2024-02-21_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