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
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JNN_2017-12-18_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50KLB_2018-02-09_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50KKA_2018-03-01_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50JQL_2018-04-01_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_51HUD_2018-04-11_final
2018-04-15 11:13:22	ga_s2bm_ard_3-2-1_51HXE_2018-04-15_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JNM_2018-04-27_final
2018-06-02 12:13:22	ga_s2bm_ard_3-2-1_49JGL_2018-06-02_final
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_50KPU_2018-07-03_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HNG_2018-08-22_final.stac-item
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_50JKQ_2018-08-28_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50HLH_2018-09-04_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JLP_2018-09-04_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50HLJ_2018-09-14_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_50HQG_2018-10-08_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50KQC_2018-10-14_final
2018-12-16 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2018-12-16_final
2018-12-30 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2018-12-30_final
2019-01-29 11:43:51	ga_s2bm_ard_3-2-1_50KQA_2019-01-29_final
2019-02-11 11:53:31	ga_s2bm_ard_3-2-1_50KMC_2019-02-11_final
2019-07-02 11:26:52	ga_s2bm_ard_3-2-1_51HVD_2019-07-02_final
2019-11-04 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-11-04_final
2019-11-12 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2019-11-12_final
2019-12-02 11:36:46	ga_s2bm_ard_3-2-1_50HPJ_2019-12-02_final
2019-12-04 12:14:35	ga_s2bm_ard_3-2-1_49JGN_2019-12-04_final
2019-12-25 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2019-12-25_final
2019-12-31 12:03:18	ga_s2bm_ard_3-2-1_50KMC_2019-12-31_final
2020-01-27 11:56:18	ga_s2bm_ard_3-2-1_50JLL_2020-01-27_final
2020-02-22 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2020-02-22_final
2020-02-27 11:26:29	ga_s2bm_ard_3-2-1_51HUE_2020-02-27_final
2020-04-12 12:13:50	ga_s2bm_ard_3-2-1_50KKA_2020-04-12_final
2020-04-20 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2020-04-20_final.stac-item
2020-04-29 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2020-04-29_final
2020-04-29 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2020-04-29_final
2020-05-06 11:54:53	ga_s2bm_ard_3-2-1_50JMS_2020-05-06_final
2020-06-15 11:53:27	ga_s2bm_ard_3-2-1_50KNC_2020-06-15_final
2020-08-14 11:56:26	ga_s2bm_ard_3-2-1_50JML_2020-08-14_final
2020-08-21 11:45:36	ga_s2bm_ard_3-2-1_50JQP_2020-08-21_final
2020-09-13 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2020-09-13_final
2020-09-27 11:36:37	ga_s2bm_ard_3-2-1_50HQK_2020-09-27_final
2020-10-07 11:37:01	ga_s2bm_ard_3-2-1_51HUC_2020-10-07_final
2020-10-13 11:53:21	ga_s2bm_ard_3-2-1_50KQC_2020-10-13_final
2020-10-30 11:47:20	ga_s2bm_ard_3-2-1_50HPG_2020-10-30_final.stac-item
2021-01-01 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-01-01_final
2021-01-05 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2021-01-05_final
2021-01-12 11:26:53	ga_s2bm_ard_3-2-1_51HUD_2021-01-12_final
2021-01-24 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2021-01-24_final
2021-01-25 11:36:19	ga_s2bm_ard_3-2-1_50JQL_2021-01-25_final
2021-02-07 11:44:57	ga_s2bm_ard_3-2-1_50JQR_2021-02-07_final
2021-04-21 11:53:52	ga_s2bm_ard_3-2-1_50KMA_2021-04-21_final
2021-05-28 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2021-05-28_final
2021-07-03 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2021-07-03_final
2021-07-04 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2021-07-04_final
2021-07-06 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2021-07-06_final
2021-07-10 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2021-07-10_final
2021-07-11 11:26:46	ga_s2bm_ard_3-2-1_51HVD_2021-07-11_final
2021-08-02 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2021-08-02_final
2021-08-09 11:54:56	ga_s2bm_ard_3-2-1_50JMS_2021-08-09_final
2021-08-27 11:16:42	ga_s2bm_ard_3-2-1_51HWD_2021-08-27_final
2021-10-05 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2021-10-05_final
2021-10-05 11:44:10	ga_s2bm_ard_3-2-1_50KPV_2021-10-05_final
2021-12-07 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2021-12-07_final
2022-01-22 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2022-01-22_final
2022-02-02 11:44:10	ga_s2bm_ard_3-2-1_50KRU_2022-02-02_final
2022-03-20 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2022-03-20_final
2022-03-24 11:43:34	ga_s2bm_ard_3-2-1_50KQB_2022-03-24_final
2022-06-02 11:44:44	ga_s2bm_ard_3-2-1_50JRS_2022-06-02_final
2022-06-12 11:43:07	ga_s2bm_ard_3-2-1_50KRD_2022-06-12_final
2022-07-01 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2022-07-01_final
2022-09-30 11:46:25	ga_s2bm_ard_3-2-1_50JML_2022-09-30_final.stac-item
2022-11-05 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2022-11-05_final.stac-item
2022-11-12 11:56:24	ga_s2bm_ard_3-2-1_50JML_2022-11-12_final.stac-item
2022-11-16 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2022-11-16_final.stac-item
2022-12-12 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2022-12-12_final.stac-item
2022-12-23 11:26:35	ga_s2bm_ard_3-2-1_51HXD_2022-12-23_final.stac-item
2022-12-25 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2022-12-25_final.stac-item
2022-12-28 12:14:18	ga_s2bm_ard_3-2-1_50KKU_2022-12-28_final.stac-item
2023-01-04 12:03:21	ga_s2bm_ard_3-2-1_50KMC_2023-01-04_final.stac-item
2023-01-21 11:53:33	ga_s2bm_ard_3-2-1_50KPB_2023-01-21_final.stac-item
2023-01-21 11:53:44	ga_s2bm_ard_3-2-1_50KQA_2023-01-21_final.stac-item
2023-02-07 11:43:16	ga_s2bm_ard_3-2-1_50KRC_2023-02-07_final.stac-item
2023-02-10 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2023-02-10_final.stac-item
2023-03-29 11:46:08	ga_s2bm_ard_3-2-1_50JPM_2023-03-29_final.stac-item
2023-05-04 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2023-05-04_final.stac-item
2023-05-21 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2023-05-21_final.stac-item
2023-06-16 12:15:15	ga_s2bm_ard_3-2-1_49JGL_2023-06-16_final.stac-item
2023-07-16 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2023-07-16_final.stac-item
2023-09-02 11:36:33	ga_s2bm_ard_3-2-1_51HUE_2023-09-02_final.stac-item
2023-09-22 11:36:50	ga_s2bm_ard_3-2-1_51HTD_2023-09-22_final.stac-item
2023-09-25 11:43:22	ga_s2bm_ard_3-2-1_50KRC_2023-09-25_final.stac-item
2023-10-31 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2023-10-31_final.stac-item
2023-11-14 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2023-11-14_final.stac-item
2023-11-20 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2023-11-20_final.stac-item
2023-11-30 12:03:20	ga_s2bm_ard_3-2-1_50KMC_2023-11-30_final.stac-item
2023-11-30 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2023-11-30_final.stac-item
2023-12-21 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2023-12-21_final.stac-item
2024-01-12 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2024-01-12_final.stac-item
2024-01-13 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2024-01-13_final.stac-item
2024-02-22 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2024-02-22_final.stac-item
2024-03-27 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2024-03-27_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