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
2017-07-07 12:13:43	ga_s2bm_ard_3-2-1_49KGR_2017-07-07_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50JKQ_2017-09-02_final
2018-01-27 11:56:04	ga_s2bm_ard_3-2-1_50HLH_2018-01-27_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50JMM_2018-03-15_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JML_2018-04-17_final
2018-05-10 12:05:05	ga_s2bm_ard_3-2-1_50JKP_2018-05-10_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_50HPH_2018-05-11_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HPH_2018-06-23_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JKP_2018-06-26_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50JNP_2018-07-13_final
2018-07-20 11:35:23	ga_s2bm_ard_3-2-1_50HQG_2018-07-20_final.stac-item
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_49JGN_2018-08-08_final
2018-11-20 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2018-11-20_final.stac-item
2019-01-22 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2019-01-22_final
2019-04-05 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2019-04-05_final
2019-04-08 12:13:58	ga_s2bm_ard_3-2-1_50KKA_2019-04-08_final
2019-04-09 11:46:19	ga_s2bm_ard_3-2-1_50JQL_2019-04-09_final
2019-07-21 11:56:20	ga_s2bm_ard_3-2-1_50JLM_2019-07-21_final
2019-08-23 12:04:18	ga_s2bm_ard_3-2-1_50KKV_2019-08-23_final
2019-09-02 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2019-09-02_final
2019-09-06 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2019-09-06_final.stac-item
2019-09-13 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2019-09-13_final
2019-09-16 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2019-09-16_final
2019-09-29 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2019-09-29_final
2019-10-12 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2019-10-12_final
2019-12-08 11:56:02	ga_s2bm_ard_3-2-1_50JMM_2019-12-08_final
2019-12-08 11:56:16	ga_s2bm_ard_3-2-1_50JML_2019-12-08_final
2019-12-28 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2019-12-28_final
2019-12-31 12:03:54	ga_s2bm_ard_3-2-1_50KKA_2019-12-31_final
2020-01-07 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2020-01-07_final
2020-01-17 11:54:56	ga_s2bm_ard_3-2-1_50JPR_2020-01-17_final
2020-01-30 12:04:49	ga_s2bm_ard_3-2-1_49JHM_2020-01-30_final
2020-03-07 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2020-03-07_final
2020-04-23 11:46:20	ga_s2bm_ard_3-2-1_50JML_2020-04-23_final
2020-04-29 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2020-04-29_final
2020-06-09 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2020-06-09_final
2020-07-15 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2020-07-15_final
2020-08-11 11:45:39	ga_s2bm_ard_3-2-1_50JPP_2020-08-11_final
2020-08-20 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-08-20_final
2020-10-06 12:04:10	ga_s2bm_ard_3-2-1_50KKV_2020-10-06_final
2020-11-29 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2020-11-29_final
2020-12-16 11:36:16	ga_s2bm_ard_3-2-1_50JQL_2020-12-16_final
2020-12-18 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2020-12-18_final
2020-12-25 12:04:07	ga_s2bm_ard_3-2-1_50KLV_2020-12-25_final
2021-02-07 11:44:44	ga_s2bm_ard_3-2-1_50JRS_2021-02-07_final
2021-02-07 11:46:14	ga_s2bm_ard_3-2-1_50JQL_2021-02-07_final
2021-02-23 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2021-02-23_final
2021-03-06 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2021-03-06_final
2021-04-04 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2021-04-04_final
2021-05-18 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2021-05-18_final
2021-06-14 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2021-06-14_final
2021-07-26 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2021-07-26_final
2021-08-22 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2021-08-22_final
2021-10-01 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2021-10-01_final
2021-10-04 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2021-10-04_final
2021-12-31 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2021-12-31_final
2022-01-26 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2022-01-26_final
2022-02-18 12:04:07	ga_s2bm_ard_3-2-1_49KHQ_2022-02-18_final
2022-02-21 12:14:53	ga_s2bm_ard_3-2-1_49JFM_2022-02-21_final
2022-03-03 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2022-03-03_final
2022-03-13 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2022-03-13_final
2022-05-09 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2022-05-09_final
2022-06-22 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2022-06-22_final
2022-07-01 12:15:15	ga_s2bm_ard_3-2-1_49JGL_2022-07-01_final
2022-08-07 12:04:42	ga_s2bm_ard_3-2-1_50JLT_2022-08-07_final
2022-08-17 12:04:47	ga_s2bm_ard_3-2-1_50JLT_2022-08-17_final
2022-09-16 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2022-09-16_final.stac-item
2022-09-29 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2022-09-29_final.stac-item
2022-10-03 11:54:46	ga_s2bm_ard_3-2-1_50JPS_2022-10-03_final.stac-item
2022-12-05 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2022-12-05_final.stac-item
2022-12-08 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2022-12-08_final.stac-item
2022-12-19 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2022-12-19_final.stac-item
2022-12-22 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2022-12-22_final.stac-item
2022-12-28 12:14:18	ga_s2bm_ard_3-2-1_50KKU_2022-12-28_final.stac-item
2023-02-17 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2023-02-17_final.stac-item
2023-02-20 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2023-02-20_final.stac-item
2023-05-01 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-05-01_final.stac-item
2023-05-04 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2023-05-04_final.stac-item
2023-06-04 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2023-06-04_final.stac-item
2023-06-13 12:04:18	ga_s2bm_ard_3-2-1_50KKV_2023-06-13_final.stac-item
2023-06-13 12:05:31	ga_s2bm_ard_3-2-1_50JKQ_2023-06-13_final.stac-item
2023-06-16 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-06-16_final.stac-item
2023-07-13 12:04:32	ga_s2bm_ard_3-2-1_49KHP_2023-07-13_final.stac-item
2023-07-14 11:35:55	ga_s2bm_ard_3-2-1_50JQN_2023-07-14_final.stac-item
2023-08-09 11:56:02	ga_s2bm_ard_3-2-1_50JLN_2023-08-09_final.stac-item
2023-09-04 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2023-09-04_final.stac-item
2023-09-22 11:36:23	ga_s2bm_ard_3-2-1_50JQL_2023-09-22_final.stac-item
2023-09-22 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2023-09-22_final.stac-item
2023-10-21 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2023-10-21_final.stac-item
2023-11-13 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2023-11-13_final.stac-item
2023-12-20 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2023-12-20_final.stac-item
2023-12-21 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2023-12-21_final.stac-item
2023-12-24 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2023-12-24_final.stac-item
2024-02-05 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2024-02-05_final.stac-item
2024-02-08 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2024-02-08_final.stac-item
2024-03-19 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2024-03-19_final.stac-item
2024-03-19 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2024-03-19_final.stac-item
2024-03-19 12:06:04	ga_s2bm_ard_3-2-1_50JLM_2024-03-19_final.stac-item
2024-04-01 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2024-04-01_final.stac-item
2024-04-09 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2024-04-09_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