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_50KRV_2017-08-27_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JMM_2017-11-18_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50JKP_2017-11-21_final
2018-01-03 12:13:12	ga_s2bm_ard_3-2-1_50KKA_2018-01-03_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HQK_2018-01-11_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49JGN_2018-04-13_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HPK_2018-04-24_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49JGM_2018-05-03_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_50HPG_2018-06-20_final.stac-item
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JLP_2018-07-26_final
2018-11-10 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2018-11-10_final
2018-11-16 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2018-11-16_final
2018-11-26 12:03:16	ga_s2bm_ard_3-2-1_50KNC_2018-11-26_final
2018-12-06 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2018-12-06_final
2019-01-15 12:03:26	ga_s2bm_ard_3-2-1_50KLC_2019-01-15_final
2019-03-03 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2019-03-03_final
2019-03-19 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2019-03-19_final
2019-03-19 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2019-03-19_final
2019-03-20 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2019-03-20_final
2019-05-02 11:53:29	ga_s2bm_ard_3-2-1_50KPC_2019-05-02_final
2019-05-08 12:14:50	ga_s2bm_ard_3-2-1_49JGN_2019-05-08_final
2019-05-22 11:53:44	ga_s2bm_ard_3-2-1_50KPB_2019-05-22_final
2019-06-28 11:46:42	ga_s2bm_ard_3-2-1_50HPK_2019-06-28_final
2019-07-24 12:04:51	ga_s2bm_ard_3-2-1_50JKT_2019-07-24_final
2019-08-13 12:03:30	ga_s2bm_ard_3-2-1_50KMC_2019-08-13_final
2019-09-02 12:04:02	ga_s2bm_ard_3-2-1_50KKA_2019-09-02_final
2019-11-01 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2019-11-01_final
2019-12-02 11:36:14	ga_s2bm_ard_3-2-1_50JQL_2019-12-02_final
2019-12-28 11:54:25	ga_s2bm_ard_3-2-1_50KMU_2019-12-28_final
2020-01-27 11:55:52	ga_s2bm_ard_3-2-1_50JKN_2020-01-27_final
2020-02-09 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2020-02-09_final
2020-02-19 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2020-02-19_final
2020-04-09 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2020-04-09_final
2020-04-13 11:46:11	ga_s2bm_ard_3-2-1_50JQL_2020-04-13_final
2020-05-09 12:05:36	ga_s2bm_ard_3-2-1_50JLP_2020-05-09_final
2020-05-09 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2020-05-09_final
2020-05-16 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2020-05-16_final
2020-06-12 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2020-06-12_final
2020-07-05 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2020-07-05_final
2020-08-07 12:04:09	ga_s2bm_ard_3-2-1_50KKA_2020-08-07_final
2020-08-24 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2020-08-24_final
2020-09-03 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2020-09-03_final
2020-11-26 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2020-11-26_final
2020-12-22 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2020-12-22_final
2021-01-21 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2021-01-21_final
2021-02-07 11:45:38	ga_s2bm_ard_3-2-1_50JNP_2021-02-07_final
2021-03-19 11:43:50	ga_s2bm_ard_3-2-1_50KQA_2021-03-19_final
2021-03-19 11:46:18	ga_s2bm_ard_3-2-1_50JPL_2021-03-19_final
2021-05-28 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2021-05-28_final.stac-item
2021-06-04 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2021-06-04_final
2021-07-10 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2021-07-10_final
2021-07-27 11:43:20	ga_s2bm_ard_3-2-1_50KRC_2021-07-27_final
2021-08-02 12:04:12	ga_s2bm_ard_3-2-1_50KLV_2021-08-02_final
2021-08-09 11:55:50	ga_s2bm_ard_3-2-1_50JNN_2021-08-09_final
2021-08-12 12:04:11	ga_s2bm_ard_3-2-1_50KLV_2021-08-12_final
2021-08-22 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2021-08-22_final
2021-09-11 12:03:37	ga_s2bm_ard_3-2-1_50KLB_2021-09-11_final
2021-09-22 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2021-09-22_final
2021-11-10 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2021-11-10_final
2021-11-20 12:04:10	ga_s2bm_ard_3-2-1_50KKV_2021-11-20_final
2021-11-20 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2021-11-20_final
2021-11-24 11:43:18	ga_s2bm_ard_3-2-1_50KQC_2021-11-24_final
2021-12-07 11:55:59	ga_s2bm_ard_3-2-1_50JNM_2021-12-07_final
2021-12-17 11:55:58	ga_s2bm_ard_3-2-1_50JNM_2021-12-17_final
2021-12-27 11:56:18	ga_s2bm_ard_3-2-1_50JML_2021-12-27_final
2022-01-29 12:03:17	ga_s2bm_ard_3-2-1_50KMC_2022-01-29_final
2022-02-15 11:52:13	ga_s2bm_ard_3-2-1_50KQG_2022-02-15_final.stac-item
2022-02-15 11:56:08	ga_s2bm_ard_3-2-1_50JKM_2022-02-15_final
2022-02-28 12:04:24	ga_s2bm_ard_3-2-1_50KKU_2022-02-28_final
2022-04-16 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2022-04-16_final
2022-04-19 12:04:35	ga_s2bm_ard_3-2-1_49JHN_2022-04-19_final
2022-05-23 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2022-05-23_final
2022-07-12 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2022-07-12_final
2022-07-15 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2022-07-15_final
2022-07-18 12:06:09	ga_s2bm_ard_3-2-1_50JLM_2022-07-18_final
2022-08-08 11:36:50	ga_s2bm_ard_3-2-1_51HTD_2022-08-08_final
2022-08-24 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2022-08-24_final
2022-10-16 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2022-10-16_final.stac-item
2022-11-06 11:36:18	ga_s2bm_ard_3-2-1_50JQL_2022-11-06_final.stac-item
2022-11-12 11:53:17	ga_s2bm_ard_3-2-1_50KQC_2022-11-12_final.stac-item
2022-11-12 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2022-11-12_final.stac-item
2022-12-05 12:03:21	ga_s2bm_ard_3-2-1_50KMC_2022-12-05_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 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2022-12-22_final.stac-item
2023-01-04 12:03:18	ga_s2bm_ard_3-2-1_50KNC_2023-01-04_final.stac-item
2023-01-14 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2023-01-14_final.stac-item
2023-02-10 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2023-02-10_final.stac-item
2023-02-14 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2023-02-14_final.stac-item
2023-03-05 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2023-03-05_final.stac-item
2023-05-01 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2023-05-01_final.stac-item
2023-05-21 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2023-05-21_final.stac-item
2023-08-12 12:05:43	ga_s2bm_ard_3-2-1_50JLP_2023-08-12_final.stac-item
2023-09-01 12:04:29	ga_s2bm_ard_3-2-1_50KLU_2023-09-01_final.stac-item
2023-11-04 11:46:29	ga_s2bm_ard_3-2-1_50JML_2023-11-04_final.stac-item
2023-11-27 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2023-11-27_final.stac-item
2023-11-27 11:56:00	ga_s2bm_ard_3-2-1_50JNM_2023-11-27_final.stac-item
2024-01-22 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2024-01-22_final.stac-item
2024-02-05 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2024-02-05_final.stac-item
2024-03-23 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2024-03-23_final.stac-item
2024-04-05 11:54:35	ga_s2bm_ard_3-2-1_50JNT_2024-04-05_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