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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HPG_2017-08-27_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50KRC_2017-08-27_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HNK_2017-10-06_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51JVG_2017-10-13_final
2018-01-27 11:56:04	ga_s2bm_ard_3-2-1_50HMH_2018-01-27_final
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KGQ_2018-03-24_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50KPC_2018-04-07_final
2018-05-14 11:37:58	ga_s2bm_ard_3-2-1_50KRD_2018-05-14_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51JVG_2018-05-31_final
2018-06-07 11:25:26	ga_s2bm_ard_3-2-1_51HUD_2018-06-07_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50JNQ_2018-09-14_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50JLN_2018-11-03_final
2018-11-23 11:56:01	ga_s2bm_ard_3-2-1_50JNM_2018-11-23_final
2018-12-03 11:55:51	ga_s2bm_ard_3-2-1_50JLN_2018-12-03_final
2019-02-05 11:34:32	ga_s2bm_ard_3-2-1_51JUN_2019-02-05_final
2019-02-11 11:53:17	ga_s2bm_ard_3-2-1_50KQC_2019-02-11_final
2019-03-13 11:54:05	ga_s2bm_ard_3-2-1_50KNV_2019-03-13_final
2019-03-30 11:43:24	ga_s2bm_ard_3-2-1_50KQC_2019-03-30_final
2019-04-30 11:16:38	ga_s2bm_ard_3-2-1_51HWE_2019-04-30_final
2019-05-10 11:16:49	ga_s2bm_ard_3-2-1_51HXD_2019-05-10_final
2019-05-12 11:56:26	ga_s2bm_ard_3-2-1_50JNL_2019-05-12_final
2019-05-22 11:56:38	ga_s2bm_ard_3-2-1_50HNK_2019-05-22_final
2019-05-25 12:06:00	ga_s2bm_ard_3-2-1_50JLN_2019-05-25_final
2019-05-26 11:36:37	ga_s2bm_ard_3-2-1_51HUE_2019-05-26_final
2019-08-07 11:46:55	ga_s2bm_ard_3-2-1_50HPJ_2019-08-07_final
2019-09-06 11:43:21	ga_s2bm_ard_3-2-1_50KRC_2019-09-06_final
2019-09-13 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2019-09-13_final
2019-09-13 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2019-09-13_final.stac-item
2019-10-22 12:03:24	ga_s2bm_ard_3-2-1_50KMC_2019-10-22_final
2019-11-04 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2019-11-04_final
2019-12-12 11:36:34	ga_s2bm_ard_3-2-1_51HUD_2019-12-12_final
2019-12-21 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2019-12-21_final
2019-12-31 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2019-12-31_final.stac-item
2020-01-01 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2020-01-01_final
2020-02-03 11:47:17	ga_s2bm_ard_3-2-1_50HMG_2020-02-03_final.stac-item
2020-02-16 11:52:15	ga_s2bm_ard_3-2-1_50KQG_2020-02-16_final.stac-item
2020-02-26 11:53:14	ga_s2bm_ard_3-2-1_50KQC_2020-02-26_final
2020-05-06 11:54:55	ga_s2bm_ard_3-2-1_50JLS_2020-05-06_final
2020-05-19 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2020-05-19_final
2020-06-08 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-06-08_final
2020-06-12 11:44:47	ga_s2bm_ard_3-2-1_50JRS_2020-06-12_final
2020-06-18 12:03:29	ga_s2bm_ard_3-2-1_50KLC_2020-06-18_final
2020-06-26 11:26:50	ga_s2bm_ard_3-2-1_51HUD_2020-06-26_final
2020-07-19 11:35:57	ga_s2bm_ard_3-2-1_51JVG_2020-07-19_final
2020-08-24 11:56:29	ga_s2bm_ard_3-2-1_50JLL_2020-08-24_final
2020-10-10 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2020-10-10_final
2020-11-05 12:04:27	ga_s2bm_ard_3-2-1_50KLU_2020-11-05_final
2020-11-12 11:56:25	ga_s2bm_ard_3-2-1_50JNL_2020-11-12_final
2020-12-29 11:46:17	ga_s2bm_ard_3-2-1_50JPL_2020-12-29_final
2021-01-14 12:03:37	ga_s2bm_ard_3-2-1_50KMB_2021-01-14_final
2021-02-17 11:43:34	ga_s2bm_ard_3-2-1_50KQB_2021-02-17_final
2021-02-23 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2021-02-23_final
2021-03-06 11:34:31	ga_s2bm_ard_3-2-1_51JUN_2021-03-06_final
2021-04-11 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2021-04-11_final.stac-item
2021-04-21 11:56:02	ga_s2bm_ard_3-2-1_50JMM_2021-04-21_final
2021-04-28 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2021-04-28_final
2021-05-01 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2021-05-01_final
2021-05-07 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2021-05-07_final
2021-05-08 11:45:41	ga_s2bm_ard_3-2-1_51JTH_2021-05-08_final
2021-05-24 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2021-05-24_final
2021-06-07 11:43:25	ga_s2bm_ard_3-2-1_50KRC_2021-06-07_final
2021-06-13 12:03:21	ga_s2bm_ard_3-2-1_50KNC_2021-06-13_final
2021-06-13 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2021-06-13_final
2021-06-23 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2021-06-23_final
2021-07-07 11:46:06	ga_s2bm_ard_3-2-1_50JPM_2021-07-07_final
2021-09-25 11:44:25	ga_s2bm_ard_3-2-1_51JUN_2021-09-25_final
2021-10-04 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2021-10-04_final
2021-10-15 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2021-10-15_final.stac-item
2021-11-10 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-11-10_final
2022-01-27 11:26:16	ga_s2bm_ard_3-2-1_51HXE_2022-01-27_final
2022-02-08 12:03:32	ga_s2bm_ard_3-2-1_50KMB_2022-02-08_final
2022-03-10 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2022-03-10_final
2022-03-27 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2022-03-27_final
2022-05-10 11:36:24	ga_s2bm_ard_3-2-1_50JPL_2022-05-10_final
2022-07-02 11:46:39	ga_s2bm_ard_3-2-1_50HPK_2022-07-02_final
2022-07-08 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2022-07-08_final
2022-08-02 11:16:49	ga_s2bm_ard_3-2-1_51HWD_2022-08-02_final
2022-08-17 12:04:47	ga_s2bm_ard_3-2-1_50JLT_2022-08-17_final
2022-09-10 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2022-09-10_final.stac-item
2022-09-10 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2022-09-10_final.stac-item
2022-09-27 11:36:00	ga_s2bm_ard_3-2-1_51JUG_2022-09-27_final.stac-item
2023-01-01 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2023-01-01_final.stac-item
2023-01-14 12:03:37	ga_s2bm_ard_3-2-1_50KLB_2023-01-14_final.stac-item
2023-01-24 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2023-01-24_final.stac-item
2023-02-27 11:46:09	ga_s2bm_ard_3-2-1_50JNM_2023-02-27_final.stac-item
2023-03-19 11:43:22	ga_s2bm_ard_3-2-1_50KRC_2023-03-19_final.stac-item
2023-04-01 11:54:37	ga_s2bm_ard_3-2-1_50JPT_2023-04-01_final.stac-item
2023-04-15 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2023-04-15_final.stac-item
2023-06-07 11:46:10	ga_s2bm_ard_3-2-1_50JPM_2023-06-07_final.stac-item
2023-06-17 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2023-06-17_final.stac-item
2023-06-27 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2023-06-27_final.stac-item
2023-09-22 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2023-09-22_final.stac-item
2023-10-04 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2023-10-04_final.stac-item
2023-10-14 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2023-10-14_final.stac-item
2023-10-22 11:36:30	ga_s2bm_ard_3-2-1_51HUE_2023-10-22_final.stac-item
2023-11-13 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2023-11-13_final.stac-item
2023-12-14 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2023-12-14_final.stac-item
2023-12-20 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2023-12-20_final.stac-item
2024-01-23 11:45:02	ga_s2bm_ard_3-2-1_50JQR_2024-01-23_final.stac-item
2024-02-15 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2024-02-15_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