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_50JLM_2017-07-31_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HNG_2017-09-16_final.stac-item
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JKT_2017-09-22_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49JGJ_2017-11-01_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50JLL_2017-12-08_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49KHQ_2018-01-20_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50JKP_2018-01-20_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50JLP_2018-02-19_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49KHR_2018-03-11_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JHN_2018-04-10_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50HLK_2018-04-17_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_50HQJ_2018-05-31_final
2018-06-02 12:13:22	ga_s2bm_ard_3-2-1_49JGM_2018-06-02_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_50HPG_2018-06-10_final.stac-item
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50HLK_2018-06-16_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49JGJ_2018-07-19_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JML_2018-07-26_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49KHR_2018-07-29_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JMM_2018-09-04_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HPJ_2018-09-11_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HQJ_2018-09-11_final
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49JGM_2018-09-30_final
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HMH_2018-10-31_final
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HNH_2018-10-31_final
2018-11-06 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2018-11-06_final
2018-12-23 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2018-12-23_final
2019-03-10 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2019-03-10_final
2019-06-01 11:56:01	ga_s2bm_ard_3-2-1_50JMN_2019-06-01_final
2019-08-24 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2019-08-24_final
2019-08-30 11:56:34	ga_s2bm_ard_3-2-1_50HNK_2019-08-30_final
2019-10-09 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2019-10-09_final
2019-10-09 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2019-10-09_final
2019-10-15 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2019-10-15_final
2019-12-11 12:05:23	ga_s2bm_ard_3-2-1_49JGK_2019-12-11_final
2020-01-03 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2020-01-03_final
2020-01-30 12:05:07	ga_s2bm_ard_3-2-1_49JGL_2020-01-30_final
2020-02-19 12:06:00	ga_s2bm_ard_3-2-1_50JLM_2020-02-19_final
2020-03-10 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2020-03-10_final
2020-04-23 11:46:28	ga_s2bm_ard_3-2-1_50HPK_2020-04-23_final
2020-04-29 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2020-04-29_final
2020-05-09 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2020-05-09_final
2020-06-02 11:46:55	ga_s2bm_ard_3-2-1_50HQH_2020-06-02_final
2020-07-18 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2020-07-18_final
2020-07-19 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2020-07-19_final
2020-07-29 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2020-07-29_final
2020-08-01 11:46:33	ga_s2bm_ard_3-2-1_50HQK_2020-08-01_final
2020-08-07 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2020-08-07_final
2020-10-06 12:05:55	ga_s2bm_ard_3-2-1_50JLN_2020-10-06_final
2020-11-05 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-11-05_final
2020-11-25 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2020-11-25_final
2020-11-29 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2020-11-29_final
2020-12-18 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2020-12-18_final
2021-02-03 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2021-02-03_final
2021-02-04 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2021-02-04_final
2021-02-10 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2021-02-10_final
2021-02-17 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2021-02-17_final
2021-02-23 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2021-02-23_final
2021-03-05 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-03-05_final
2021-04-24 12:05:46	ga_s2bm_ard_3-2-1_50JLN_2021-04-24_final
2021-05-18 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2021-05-18_final
2021-05-27 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-05-27_final
2021-06-27 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2021-06-27_final
2021-07-27 11:46:28	ga_s2bm_ard_3-2-1_50JML_2021-07-27_final
2021-08-16 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2021-08-16_final
2021-09-05 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2021-09-05_final
2021-10-02 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2021-10-02_final
2021-11-20 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2021-11-20_final
2021-11-24 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2021-11-24_final
2021-12-23 12:14:55	ga_s2bm_ard_3-2-1_49JFM_2021-12-23_final
2021-12-30 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2021-12-30_final
2022-02-05 11:55:47	ga_s2bm_ard_3-2-1_50JKN_2022-02-05_final
2022-02-15 11:56:12	ga_s2bm_ard_3-2-1_50JNL_2022-02-15_final
2022-04-19 12:04:35	ga_s2bm_ard_3-2-1_50JKT_2022-04-19_final
2022-04-19 12:05:47	ga_s2bm_ard_3-2-1_50JLN_2022-04-19_final
2022-06-11 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2022-06-11_final
2022-06-18 12:06:08	ga_s2bm_ard_3-2-1_50JLM_2022-06-18_final
2022-07-31 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2022-07-31_final
2022-08-31 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2022-08-31_final
2022-09-19 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2022-09-19_final.stac-item
2022-10-06 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2022-10-06_final.stac-item
2022-10-07 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2022-10-07_final.stac-item
2022-11-05 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2022-11-05_final.stac-item
2022-11-12 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2022-11-12_final.stac-item
2022-12-28 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-12-28_final.stac-item
2023-02-03 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2023-02-03_final.stac-item
2023-04-18 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2023-04-18_final.stac-item
2023-05-27 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-05-27_final.stac-item
2023-06-07 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2023-06-07_final.stac-item
2023-07-14 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2023-07-14_final.stac-item
2023-11-20 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2023-11-20_final.stac-item
2023-12-10 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2023-12-10_final.stac-item
2023-12-14 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2023-12-14_final.stac-item
2023-12-17 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2023-12-17_final.stac-item
2023-12-21 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2023-12-21_final.stac-item
2023-12-23 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2023-12-23_final.stac-item
2024-01-10 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2024-01-10_final.stac-item
2024-02-05 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2024-02-05_final.stac-item
2024-03-19 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2024-03-19_final.stac-item
2024-04-09 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2024-04-09_final.stac-item
2024-04-12 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2024-04-12_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