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_49JGM_2017-07-24_final
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50HPG_2017-09-23_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50KQC_2017-12-28_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50JPL_2018-01-14_final
2018-02-13 11:37:45	ga_s2bm_ard_3-2-1_50KRD_2018-02-13_final
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_50KRC_2018-02-23_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JGJ_2018-03-11_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HPK_2018-03-22_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50KMC_2018-03-31_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_50HPK_2018-04-11_final.stac-item
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_50JPL_2018-04-11_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JKP_2018-04-17_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JNN_2018-04-24_final
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_49KHS_2018-05-30_final.stac-item
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49JGN_2018-06-09_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50JKP_2018-06-09_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HNJ_2018-08-02_final
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_50KKB_2018-08-08_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_50HPG_2018-08-29_final.stac-item
2019-02-14 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2019-02-14_final
2019-02-21 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2019-02-21_final
2019-04-05 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2019-04-05_final
2019-04-06 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2019-04-06_final.stac-item
2019-05-06 11:37:11	ga_s2bm_ard_3-2-1_50HQH_2019-05-06_final
2019-05-25 12:05:46	ga_s2bm_ard_3-2-1_50JLP_2019-05-25_final
2019-05-29 11:43:12	ga_s2bm_ard_3-2-1_50KRD_2019-05-29_final
2019-06-14 12:05:59	ga_s2bm_ard_3-2-1_50JLN_2019-06-14_final
2019-06-27 12:14:35	ga_s2bm_ard_3-2-1_49KGP_2019-06-27_final
2019-08-03 12:03:52	ga_s2bm_ard_3-2-1_49KHS_2019-08-03_final.stac-item
2019-08-13 12:05:21	ga_s2bm_ard_3-2-1_49JGL_2019-08-13_final
2019-08-17 11:47:08	ga_s2bm_ard_3-2-1_50HPH_2019-08-17_final
2019-08-17 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2019-08-17_final.stac-item
2019-08-17 11:47:30	ga_s2bm_ard_3-2-1_50HMG_2019-08-17_final.stac-item
2019-08-30 11:53:14	ga_s2bm_ard_3-2-1_50KRC_2019-08-30_final
2019-09-06 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2019-09-06_final.stac-item
2019-10-02 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2019-10-02_final
2019-10-06 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2019-10-06_final
2019-10-12 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2019-10-12_final
2019-11-22 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2019-11-22_final
2019-11-28 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2019-11-28_final
2019-12-01 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2019-12-01_final
2020-01-20 12:05:49	ga_s2bm_ard_3-2-1_50JKN_2020-01-20_final
2020-01-30 12:04:49	ga_s2bm_ard_3-2-1_49JHM_2020-01-30_final
2020-02-13 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2020-02-13_final.stac-item
2020-03-30 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2020-03-30_final
2020-05-06 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2020-05-06_final
2020-06-25 11:54:57	ga_s2bm_ard_3-2-1_50JNS_2020-06-25_final
2020-07-19 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2020-07-19_final
2020-08-17 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-08-17_final
2020-09-30 11:43:07	ga_s2bm_ard_3-2-1_50KRD_2020-09-30_final
2020-11-19 11:43:22	ga_s2bm_ard_3-2-1_50KQC_2020-11-19_final
2020-12-26 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2020-12-26_final.stac-item
2020-12-29 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2020-12-29_final
2021-03-06 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2021-03-06_final
2021-03-16 11:37:20	ga_s2bm_ard_3-2-1_50HPG_2021-03-16_final.stac-item
2021-04-04 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2021-04-04_final
2021-04-24 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2021-04-24_final
2021-04-24 12:05:50	ga_s2bm_ard_3-2-1_50JKN_2021-04-24_final
2021-05-04 12:03:30	ga_s2bm_ard_3-2-1_50KNB_2021-05-04_final
2021-06-13 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2021-06-13_final
2021-06-27 11:46:13	ga_s2bm_ard_3-2-1_50JMM_2021-06-27_final
2021-06-27 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2021-06-27_final
2021-07-06 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2021-07-06_final
2021-07-24 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2021-07-24_final
2021-07-26 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2021-07-26_final
2021-07-30 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2021-07-30_final
2021-08-02 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2021-08-02_final
2021-08-06 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2021-08-06_final.stac-item
2021-09-08 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2021-09-08_final.stac-item
2021-10-21 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-10-21_final
2021-11-24 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2021-11-24_final.stac-item
2022-02-25 11:52:30	ga_s2bm_ard_3-2-1_50KQF_2022-02-25_final.stac-item
2022-04-03 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2022-04-03_final
2022-04-29 12:03:34	ga_s2bm_ard_3-2-1_50KLB_2022-04-29_final
2022-06-05 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2022-06-05_final
2022-06-12 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2022-06-12_final
2022-06-19 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2022-06-19_final.stac-item
2022-07-12 11:43:08	ga_s2bm_ard_3-2-1_50KRD_2022-07-12_final
2022-08-04 11:53:22	ga_s2bm_ard_3-2-1_50KQC_2022-08-04_final
2022-08-27 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2022-08-27_final
2022-08-30 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2022-08-30_final
2022-08-30 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2022-08-30_final
2022-10-17 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2022-10-17_final.stac-item
2022-12-09 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2022-12-09_final.stac-item
2023-01-21 11:54:06	ga_s2bm_ard_3-2-1_50KNV_2023-01-21_final.stac-item
2023-01-28 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2023-01-28_final.stac-item
2023-03-15 12:04:47	ga_s2bm_ard_3-2-1_50JKT_2023-03-15_final.stac-item
2023-04-01 11:52:23	ga_s2bm_ard_3-2-1_50KQG_2023-04-01_final.stac-item
2023-05-31 11:53:21	ga_s2bm_ard_3-2-1_50KQC_2023-05-31_final.stac-item
2023-06-07 11:46:31	ga_s2bm_ard_3-2-1_50JML_2023-06-07_final.stac-item
2023-07-16 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2023-07-16_final.stac-item
2023-08-19 11:53:16	ga_s2bm_ard_3-2-1_50KRC_2023-08-19_final.stac-item
2023-09-02 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2023-09-02_final.stac-item
2023-09-18 11:56:21	ga_s2bm_ard_3-2-1_50JNL_2023-09-18_final.stac-item
2023-11-23 12:13:49	ga_s2bm_ard_3-2-1_50KKA_2023-11-23_final.stac-item
2023-12-23 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2023-12-23_final.stac-item
2024-01-23 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2024-01-23_final.stac-item
2024-02-18 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2024-02-18_final.stac-item
2024-03-10 11:36:01	ga_s2bm_ard_3-2-1_50JQM_2024-03-10_final.stac-item
2024-05-15 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2024-05-15_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