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_50HNG_2017-08-07_final.stac-item
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49KHP_2017-08-26_final
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50JKP_2018-01-07_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49JGM_2018-01-10_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JGM_2018-01-20_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50JKP_2018-01-20_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49JGM_2018-01-30_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HLJ_2018-02-16_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JKP_2018-03-08_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HMH_2018-03-18_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49JGM_2018-03-21_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KHS_2018-03-31_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JLN_2018-03-31_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HPJ_2018-04-04_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49JGN_2018-04-13_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JLN_2018-04-17_final
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HMJ_2018-04-17_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGK_2018-04-20_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKQ_2018-04-20_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HLG_2018-05-07_final.stac-item
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49JGN_2018-06-09_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HNK_2018-07-03_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HMG_2018-07-23_final.stac-item
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49KGP_2018-07-29_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HQJ_2018-08-02_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JKN_2018-08-25_final
2018-11-30 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2018-11-30_final.stac-item
2018-12-10 11:47:21	ga_s2bm_ard_3-2-1_50HLG_2018-12-10_final.stac-item
2018-12-19 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2018-12-19_final
2019-01-02 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2019-01-02_final
2019-01-18 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-01-18_final
2019-02-18 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2019-02-18_final.stac-item
2019-04-25 12:05:48	ga_s2bm_ard_3-2-1_50JKP_2019-04-25_final
2019-04-26 11:37:28	ga_s2bm_ard_3-2-1_50HPG_2019-04-26_final.stac-item
2019-05-19 11:46:48	ga_s2bm_ard_3-2-1_50HMK_2019-05-19_final
2019-05-29 11:46:49	ga_s2bm_ard_3-2-1_50HMK_2019-05-29_final
2019-05-29 11:47:04	ga_s2bm_ard_3-2-1_50HMJ_2019-05-29_final
2019-06-08 11:47:14	ga_s2bm_ard_3-2-1_50HNH_2019-06-08_final
2019-06-28 11:46:51	ga_s2bm_ard_3-2-1_50HQJ_2019-06-28_final
2019-07-08 11:47:29	ga_s2bm_ard_3-2-1_50HNG_2019-07-08_final.stac-item
2019-08-10 11:56:43	ga_s2bm_ard_3-2-1_50HMK_2019-08-10_final
2019-08-13 12:06:11	ga_s2bm_ard_3-2-1_50JLM_2019-08-13_final
2019-09-02 12:06:07	ga_s2bm_ard_3-2-1_50JLM_2019-09-02_final
2019-09-03 11:37:29	ga_s2bm_ard_3-2-1_50HNG_2019-09-03_final.stac-item
2019-11-22 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2019-11-22_final.stac-item
2019-11-24 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2019-11-24_final
2019-12-05 11:47:18	ga_s2bm_ard_3-2-1_50HMG_2019-12-05_final.stac-item
2019-12-25 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2019-12-25_final
2020-01-01 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2020-01-01_final.stac-item
2020-03-14 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2020-03-14_final
2020-04-26 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2020-04-26_final
2020-06-19 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2020-06-19_final
2020-06-28 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2020-06-28_final
2020-07-02 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2020-07-02_final
2020-09-16 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2020-09-16_final
2020-09-16 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2020-09-16_final
2020-10-23 11:55:45	ga_s2bm_ard_3-2-1_50JLP_2020-10-23_final
2020-11-05 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2020-11-05_final
2020-11-09 11:46:55	ga_s2bm_ard_3-2-1_50HQH_2020-11-09_final
2020-12-12 11:56:11	ga_s2bm_ard_3-2-1_50JKM_2020-12-12_final
2020-12-28 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2020-12-28_final
2020-12-29 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2020-12-29_final
2021-01-11 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2021-01-11_final
2021-01-18 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2021-01-18_final
2021-03-09 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2021-03-09_final
2021-04-01 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2021-04-01_final
2021-04-21 11:57:00	ga_s2bm_ard_3-2-1_50HMH_2021-04-21_final
2021-04-28 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2021-04-28_final
2021-05-21 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2021-05-21_final
2021-05-24 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2021-05-24_final
2021-06-03 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2021-06-03_final
2021-06-13 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2021-06-13_final
2021-06-26 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-06-26_final
2021-06-26 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2021-06-26_final
2021-06-30 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2021-06-30_final
2021-07-13 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2021-07-13_final
2021-07-13 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2021-07-13_final
2021-08-12 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2021-08-12_final
2021-08-16 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2021-08-16_final
2021-08-22 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2021-08-22_final
2021-08-22 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2021-08-22_final
2021-08-25 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-08-25_final
2021-10-14 12:14:28	ga_s2bm_ard_3-2-1_49KHP_2021-10-14_final
2021-12-07 11:56:06	ga_s2bm_ard_3-2-1_50JLM_2021-12-07_final
2021-12-07 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2021-12-07_final
2021-12-07 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2021-12-07_final
2022-01-09 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2022-01-09_final.stac-item
2022-03-10 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2022-03-10_final.stac-item
2022-06-25 11:56:19	ga_s2bm_ard_3-2-1_50JKM_2022-06-25_final
2023-01-05 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2023-01-05_final.stac-item
2023-01-11 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2023-01-11_final.stac-item
2023-01-24 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2023-01-24_final.stac-item
2023-01-28 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2023-01-28_final.stac-item
2023-01-28 11:47:25	ga_s2bm_ard_3-2-1_50HLG_2023-01-28_final.stac-item
2023-03-19 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2023-03-19_final.stac-item
2023-09-01 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-09-01_final.stac-item
2023-10-11 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-10-11_final.stac-item
2023-10-18 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2023-10-18_final.stac-item
2024-01-16 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2024-01-16_final.stac-item
2024-02-15 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2024-02-15_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