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
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JML_2017-08-20_final
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49KGP_2017-08-26_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HNJ_2017-10-26_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49KHR_2017-11-11_final
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HPH_2017-12-05_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49JGL_2017-12-11_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HQJ_2017-12-15_final
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49KHR_2018-01-23_final
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HLG_2018-04-17_final.stac-item
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50JKP_2018-10-17_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50JLP_2018-10-27_final
2018-11-09 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2018-11-09_final
2018-11-16 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2018-11-16_final
2018-12-06 12:04:48	ga_s2bm_ard_3-2-1_50JLS_2018-12-06_final
2018-12-13 11:56:19	ga_s2bm_ard_3-2-1_50JLL_2018-12-13_final
2018-12-26 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2018-12-26_final
2018-12-26 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2018-12-26_final
2019-01-12 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2019-01-12_final
2019-01-28 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2019-01-28_final
2019-04-05 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2019-04-05_final.stac-item
2019-05-19 11:46:35	ga_s2bm_ard_3-2-1_50JML_2019-05-19_final
2019-06-01 11:57:14	ga_s2bm_ard_3-2-1_50HMH_2019-06-01_final
2019-06-08 11:47:34	ga_s2bm_ard_3-2-1_50HLG_2019-06-08_final.stac-item
2019-07-07 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-07-07_final
2019-07-18 11:47:29	ga_s2bm_ard_3-2-1_50HNG_2019-07-18_final.stac-item
2019-09-19 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2019-09-19_final
2019-11-11 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2019-11-11_final.stac-item
2019-11-14 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2019-11-14_final
2019-12-21 12:04:34	ga_s2bm_ard_3-2-1_50JLT_2019-12-21_final
2019-12-24 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2019-12-24_final
2020-03-24 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2020-03-24_final
2020-04-19 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2020-04-19_final
2020-05-29 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2020-05-29_final
2020-06-09 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2020-06-09_final.stac-item
2020-06-28 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2020-06-28_final.stac-item
2020-07-01 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2020-07-01_final
2020-07-02 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2020-07-02_final.stac-item
2020-07-12 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-07-12_final
2020-07-22 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2020-07-22_final
2020-07-22 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-07-22_final
2020-08-14 11:55:50	ga_s2bm_ard_3-2-1_50JKP_2020-08-14_final
2020-09-19 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2020-09-19_final.stac-item
2020-09-27 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2020-09-27_final
2020-09-29 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2020-09-29_final
2020-10-13 11:55:50	ga_s2bm_ard_3-2-1_50JKP_2020-10-13_final
2020-10-16 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2020-10-16_final
2020-10-26 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2020-10-26_final.stac-item
2020-10-26 12:04:43	ga_s2bm_ard_3-2-1_50JLT_2020-10-26_final
2020-10-26 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2020-10-26_final
2020-10-29 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2020-10-29_final
2020-10-29 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2020-10-29_final
2020-11-02 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2020-11-02_final
2020-11-02 11:55:56	ga_s2bm_ard_3-2-1_50JMN_2020-11-02_final
2020-11-06 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2020-11-06_final
2020-11-18 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2020-11-18_final
2020-12-05 12:05:36	ga_s2bm_ard_3-2-1_50JLP_2020-12-05_final
2020-12-12 11:56:05	ga_s2bm_ard_3-2-1_50JMM_2020-12-12_final
2021-01-04 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-01-04_final
2021-01-07 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2021-01-07_final
2021-01-24 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2021-01-24_final
2021-04-14 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2021-04-14_final
2021-04-27 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2021-04-27_final
2021-05-21 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2021-05-21_final
2021-05-28 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2021-05-28_final
2021-06-10 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2021-06-10_final
2021-06-13 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2021-06-13_final
2021-06-17 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2021-06-17_final.stac-item
2021-06-24 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2021-06-24_final
2021-06-30 11:56:09	ga_s2bm_ard_3-2-1_50JMM_2021-06-30_final
2021-07-10 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2021-07-10_final
2021-07-17 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2021-07-17_final
2021-07-24 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2021-07-24_final.stac-item
2021-08-16 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2021-08-16_final.stac-item
2021-10-15 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-10-15_final
2021-10-21 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2021-10-21_final
2021-10-24 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2021-10-24_final
2021-11-04 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2021-11-04_final.stac-item
2021-12-01 11:37:02	ga_s2bm_ard_3-2-1_50HPH_2021-12-01_final
2021-12-07 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2021-12-07_final
2021-12-21 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2021-12-21_final.stac-item
2022-01-03 11:46:49	ga_s2bm_ard_3-2-1_50HQH_2022-01-03_final
2022-02-01 12:14:35	ga_s2bm_ard_3-2-1_49JGN_2022-02-01_final
2022-04-03 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2022-04-03_final
2022-05-13 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2022-05-13_final.stac-item
2022-05-19 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2022-05-19_final
2022-07-02 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2022-07-02_final.stac-item
2022-08-30 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2022-08-30_final
2022-11-22 11:57:15	ga_s2bm_ard_3-2-1_50HLG_2022-11-22_final.stac-item
2022-11-29 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2022-11-29_final.stac-item
2023-03-05 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2023-03-05_final.stac-item
2023-03-29 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-03-29_final.stac-item
2023-04-01 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2023-04-01_final.stac-item
2023-05-25 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2023-05-25_final.stac-item
2023-07-10 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2023-07-10_final.stac-item
2023-07-14 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2023-07-14_final.stac-item
2023-08-06 11:47:26	ga_s2bm_ard_3-2-1_50HNG_2023-08-06_final.stac-item
2023-08-06 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2023-08-06_final.stac-item
2023-08-23 11:37:22	ga_s2bm_ard_3-2-1_50HQG_2023-08-23_final.stac-item
2023-10-02 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2023-10-02_final.stac-item
2023-11-27 11:56:04	ga_s2bm_ard_3-2-1_50JMM_2023-11-27_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