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
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50JLP_2017-07-24_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JLM_2017-09-22_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HPJ_2017-10-26_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50KKB_2017-11-21_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50JKN_2018-02-06_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50JLM_2018-02-06_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50KKB_2018-02-09_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HQH_2018-03-22_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JQM_2018-07-03_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49JGJ_2018-07-19_final
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49KGQ_2018-07-22_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JGJ_2018-08-18_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_50HPK_2018-09-11_final
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49KHP_2018-09-17_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HPH_2018-09-21_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_50HPH_2018-09-28_final
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HPJ_2018-10-31_final
2019-02-07 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2019-02-07_final
2019-03-16 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2019-03-16_final
2019-04-19 11:45:52	ga_s2bm_ard_3-2-1_50JQN_2019-04-19_final
2019-05-29 11:46:57	ga_s2bm_ard_3-2-1_50HQJ_2019-05-29_final
2019-07-14 12:05:53	ga_s2bm_ard_3-2-1_49JGJ_2019-07-14_final
2019-08-30 11:56:34	ga_s2bm_ard_3-2-1_50HNK_2019-08-30_final
2019-10-09 11:56:05	ga_s2bm_ard_3-2-1_50JNM_2019-10-09_final
2019-12-31 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2019-12-31_final
2020-02-19 12:05:47	ga_s2bm_ard_3-2-1_50JLN_2020-02-19_final
2020-02-23 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2020-02-23_final.stac-item
2020-03-27 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2020-03-27_final
2020-05-20 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2020-05-20_final
2020-05-26 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2020-05-26_final
2020-05-29 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2020-05-29_final
2020-06-28 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-06-28_final
2020-08-01 11:46:26	ga_s2bm_ard_3-2-1_50JNL_2020-08-01_final
2020-08-01 11:46:33	ga_s2bm_ard_3-2-1_50HQK_2020-08-01_final
2020-08-07 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2020-08-07_final
2020-09-03 11:56:33	ga_s2bm_ard_3-2-1_50HNK_2020-09-03_final
2020-09-16 12:04:41	ga_s2bm_ard_3-2-1_50JLT_2020-09-16_final
2020-10-19 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2020-10-19_final
2020-10-30 11:46:22	ga_s2bm_ard_3-2-1_50JPL_2020-10-30_final
2020-12-05 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2020-12-05_final
2021-02-06 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2021-02-06_final
2021-02-10 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2021-02-10_final
2021-03-25 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2021-03-25_final
2021-05-15 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2021-05-15_final
2021-06-10 11:55:50	ga_s2bm_ard_3-2-1_50JNN_2021-06-10_final
2021-06-17 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2021-06-17_final
2021-07-10 11:56:06	ga_s2bm_ard_3-2-1_50JNM_2021-07-10_final
2021-07-13 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2021-07-13_final
2021-07-13 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2021-07-13_final
2021-07-14 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2021-07-14_final
2021-08-12 12:04:29	ga_s2bm_ard_3-2-1_50KKU_2021-08-12_final
2021-09-01 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2021-09-01_final
2021-09-02 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2021-09-02_final
2021-09-11 12:03:20	ga_s2bm_ard_3-2-1_50KMC_2021-09-11_final
2021-10-21 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-10-21_final
2021-11-30 12:05:36	ga_s2bm_ard_3-2-1_50JKP_2021-11-30_final
2021-12-11 11:36:21	ga_s2bm_ard_3-2-1_50JPL_2021-12-11_final
2022-02-08 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2022-02-08_final
2022-02-15 11:56:12	ga_s2bm_ard_3-2-1_50JNL_2022-02-15_final
2022-03-07 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2022-03-07_final
2022-03-10 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2022-03-10_final
2022-04-03 11:45:51	ga_s2bm_ard_3-2-1_50JNN_2022-04-03_final
2022-05-09 12:04:38	ga_s2bm_ard_3-2-1_49JGN_2022-05-09_final
2022-05-13 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2022-05-13_final
2022-05-23 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2022-05-23_final
2022-06-18 12:05:55	ga_s2bm_ard_3-2-1_50JLN_2022-06-18_final
2022-06-28 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2022-06-28_final
2022-08-04 11:56:12	ga_s2bm_ard_3-2-1_50JMM_2022-08-04_final
2022-08-08 11:36:52	ga_s2bm_ard_3-2-1_50HQJ_2022-08-08_final
2022-09-16 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2022-09-16_final.stac-item
2022-09-29 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2022-09-29_final.stac-item
2022-10-26 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2022-10-26_final.stac-item
2022-11-05 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2022-11-05_final.stac-item
2022-12-22 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2022-12-22_final.stac-item
2023-01-01 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2023-01-01_final.stac-item
2023-01-08 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2023-01-08_final.stac-item
2023-02-23 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2023-02-23_final.stac-item
2023-04-07 12:13:42	ga_s2bm_ard_3-2-1_50KKB_2023-04-07_final.stac-item
2023-04-15 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2023-04-15_final.stac-item
2023-06-03 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2023-06-03_final.stac-item
2023-06-16 12:13:59	ga_s2bm_ard_3-2-1_50KKA_2023-06-16_final.stac-item
2023-06-24 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2023-06-24_final.stac-item
2023-07-03 12:05:43	ga_s2bm_ard_3-2-1_50JLP_2023-07-03_final.stac-item
2023-07-04 11:36:39	ga_s2bm_ard_3-2-1_50HQK_2023-07-04_final.stac-item
2023-07-17 11:47:15	ga_s2bm_ard_3-2-1_50HMH_2023-07-17_final.stac-item
2023-07-30 11:55:47	ga_s2bm_ard_3-2-1_50JLP_2023-07-30_final.stac-item
2023-08-02 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-08-02_final.stac-item
2023-08-06 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-08-06_final.stac-item
2023-09-11 12:05:47	ga_s2bm_ard_3-2-1_49JGJ_2023-09-11_final.stac-item
2023-10-04 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2023-10-04_final.stac-item
2023-10-18 11:56:32	ga_s2bm_ard_3-2-1_50HNK_2023-10-18_final.stac-item
2023-10-24 12:14:15	ga_s2bm_ard_3-2-1_49KFQ_2023-10-24_nrt.stac-item
2023-11-01 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2023-11-01_final.stac-item
2023-11-10 12:04:41	ga_s2bm_ard_3-2-1_50JLT_2023-11-10_final.stac-item
2023-12-07 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2023-12-07_final.stac-item
2023-12-27 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2023-12-27_final.stac-item
2023-12-30 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2023-12-30_final.stac-item
2024-02-28 12:03:22	ga_s2bm_ard_3-2-1_50KMC_2024-02-28_final.stac-item
2024-03-03 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2024-03-03_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