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
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JKP_2017-07-31_final
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JLN_2017-07-31_final
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JLN_2017-08-20_final
2017-10-13 11:36:25	ga_s2bm_ard_3-2-1_50HQG_2017-10-13_final.stac-item
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HNG_2017-11-15_final.stac-item
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50JKP_2018-01-07_final
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HMJ_2018-01-07_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49KHR_2018-01-10_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HLG_2018-01-14_final.stac-item
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HMG_2018-02-03_final.stac-item
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50HQJ_2018-02-10_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HNK_2018-02-13_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50JKP_2018-02-19_final
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49KHS_2018-02-22_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JLN_2018-03-28_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKR_2018-03-31_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49JGM_2018-04-03_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2018-04-10_final
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HMK_2018-04-17_final
2018-04-20 12:02:48	ga_s2bm_ard_3-2-1_49KHR_2018-04-20_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49JGJ_2018-05-20_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_50HQK_2018-05-31_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HQJ_2018-06-23_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HPJ_2018-07-23_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49JGM_2018-07-29_final
2018-08-01 12:13:25	ga_s2bm_ard_3-2-1_49JGN_2018-08-01_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HMH_2018-08-02_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HQJ_2018-08-02_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49KHS_2018-08-18_final.stac-item
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_50HPG_2018-08-19_final.stac-item
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JKN_2018-08-25_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50HLK_2018-09-04_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JLL_2018-09-04_final
2018-12-30 11:47:14	ga_s2bm_ard_3-2-1_50HPG_2018-12-30_final.stac-item
2019-01-12 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2019-01-12_final
2019-03-27 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2019-03-27_final
2019-04-02 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2019-04-02_final
2019-04-05 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2019-04-05_final
2019-04-25 12:05:51	ga_s2bm_ard_3-2-1_49JGJ_2019-04-25_final
2019-04-26 11:37:28	ga_s2bm_ard_3-2-1_50HPG_2019-04-26_final.stac-item
2019-05-15 12:06:04	ga_s2bm_ard_3-2-1_50JKN_2019-05-15_final
2019-05-26 11:37:00	ga_s2bm_ard_3-2-1_50HPJ_2019-05-26_final
2019-06-25 11:36:42	ga_s2bm_ard_3-2-1_50HQK_2019-06-25_final
2019-07-01 11:56:08	ga_s2bm_ard_3-2-1_50JKN_2019-07-01_final
2019-10-03 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2019-10-03_final
2019-10-12 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2019-10-12_final
2019-10-15 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2019-10-15_final.stac-item
2020-01-24 11:46:55	ga_s2bm_ard_3-2-1_50HPH_2020-01-24_final
2020-02-09 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2020-02-09_final
2020-03-14 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2020-03-14_final
2020-05-09 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2020-05-09_final
2020-05-29 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2020-05-29_final
2020-06-18 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-06-18_final
2020-07-01 12:15:02	ga_s2bm_ard_3-2-1_49JFM_2020-07-01_final
2020-07-12 11:46:28	ga_s2bm_ard_3-2-1_50JML_2020-07-12_final
2020-07-19 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2020-07-19_final
2020-07-19 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2020-07-19_final.stac-item
2020-08-21 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2020-08-21_final
2020-09-16 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2020-09-16_final
2020-10-20 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2020-10-20_final.stac-item
2020-12-12 11:56:11	ga_s2bm_ard_3-2-1_50JKM_2020-12-12_final
2020-12-29 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2020-12-29_final.stac-item
2021-02-14 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2021-02-14_final
2021-03-05 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2021-03-05_final
2021-05-08 11:47:18	ga_s2bm_ard_3-2-1_50HNG_2021-05-08_final.stac-item
2021-05-14 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2021-05-14_final
2021-05-21 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2021-05-21_final.stac-item
2021-05-25 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2021-05-25_final
2021-07-07 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-07-07_final
2021-07-23 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2021-07-23_final.stac-item
2021-08-06 11:46:27	ga_s2bm_ard_3-2-1_50JML_2021-08-06_final
2021-08-16 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2021-08-16_final
2021-10-08 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2021-10-08_final
2021-10-22 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2021-10-22_final
2021-11-11 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2021-11-11_final.stac-item
2021-12-27 11:55:42	ga_s2bm_ard_3-2-1_50JKP_2021-12-27_final
2022-01-29 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2022-01-29_final
2022-02-11 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2022-02-11_final
2022-02-12 11:46:31	ga_s2bm_ard_3-2-1_50HNK_2022-02-12_final
2022-03-30 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2022-03-30_final
2022-03-30 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2022-03-30_final
2022-04-22 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2022-04-22_final
2022-04-26 11:56:16	ga_s2bm_ard_3-2-1_50JML_2022-04-26_final
2022-06-08 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2022-06-08_final
2022-09-10 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2022-09-10_final.stac-item
2022-09-16 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2022-09-16_final.stac-item
2022-12-15 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2022-12-15_final.stac-item
2023-04-04 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2023-04-04_final.stac-item
2023-04-18 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2023-04-18_final.stac-item
2023-05-07 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-05-07_final.stac-item
2023-05-25 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2023-05-25_final.stac-item
2023-06-10 11:56:19	ga_s2bm_ard_3-2-1_50JKM_2023-06-10_final.stac-item
2023-06-23 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2023-06-23_final.stac-item
2023-08-12 12:05:03	ga_s2bm_ard_3-2-1_50JKS_2023-08-12_final.stac-item
2023-09-11 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2023-09-11_final.stac-item
2023-12-30 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2023-12-30_final.stac-item
2024-01-03 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2024-01-03_final.stac-item
2024-01-13 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2024-01-13_final.stac-item
2024-02-08 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2024-02-08_final.stac-item
2024-03-09 12:05:50	ga_s2bm_ard_3-2-1_50JKN_2024-03-09_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