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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50KPC_2017-07-11_final
2017-07-11 11:56:34	ga_s2bm_ard_3-2-1_50HMG_2017-07-11_final.stac-item
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49KHS_2017-08-13_final.stac-item
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50JKP_2017-08-13_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JPS_2017-08-27_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JPT_2017-08-27_final
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_50JKT_2017-09-12_final
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50JQL_2017-09-23_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JNL_2017-11-18_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49JGM_2017-11-21_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HLH_2017-12-15_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HLG_2017-12-25_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50HMH_2017-12-28_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HMH_2018-01-04_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HMJ_2018-01-14_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JKP_2018-02-16_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JLL_2018-02-16_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50JKP_2018-02-19_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGM_2018-03-01_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JLT_2018-03-08_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JNN_2018-03-25_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JNP_2018-03-25_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JNQ_2018-03-25_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JMP_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JPR_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50KMU_2018-03-28_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JHN_2018-03-31_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JLT_2018-03-31_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50KLV_2018-03-31_final
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_50JRS_2018-04-01_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JQP_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JQQ_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JQR_2018-04-04_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50JML_2018-04-04_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JLQ_2018-04-07_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JMT_2018-04-07_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_50JKQ_2018-04-10_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_50JQL_2018-04-11_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_50JQM_2018-04-11_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JNM_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JPP_2018-04-14_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50JMM_2018-04-14_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50JPL_2018-04-14_final
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HMH_2018-04-17_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JLP_2018-04-20_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50JQN_2018-04-21_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JQL_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JRS_2018-04-24_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_50HQH_2018-05-31_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49KHS_2018-07-29_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HPK_2018-09-11_final
2018-11-27 11:37:13	ga_s2bm_ard_3-2-1_50HQG_2018-11-27_final.stac-item
2019-01-12 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2019-01-12_final
2019-04-05 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2019-04-05_final
2019-04-05 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2019-04-05_final
2019-04-22 11:55:53	ga_s2bm_ard_3-2-1_50JKP_2019-04-22_final
2019-04-25 12:06:17	ga_s2bm_ard_3-2-1_50JKM_2019-04-25_final
2019-05-16 11:34:45	ga_s2bm_ard_3-2-1_50JRT_2019-05-16_final
2019-05-22 11:54:32	ga_s2bm_ard_3-2-1_50JQT_2019-05-22_final
2019-05-22 11:55:36	ga_s2bm_ard_3-2-1_50JLQ_2019-05-22_final
2019-05-22 11:56:05	ga_s2bm_ard_3-2-1_50JLN_2019-05-22_final
2019-05-29 11:44:18	ga_s2bm_ard_3-2-1_50KPV_2019-05-29_final
2019-05-29 11:45:59	ga_s2bm_ard_3-2-1_50JPN_2019-05-29_final
2019-05-29 11:46:13	ga_s2bm_ard_3-2-1_50JPM_2019-05-29_final
2019-06-18 11:47:32	ga_s2bm_ard_3-2-1_50HMG_2019-06-18_final.stac-item
2019-12-04 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2019-12-04_final
2019-12-08 11:56:12	ga_s2bm_ard_3-2-1_50JNL_2019-12-08_final
2020-08-08 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2020-08-08_final.stac-item
2020-09-10 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2020-09-10_final
2020-09-16 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2020-09-16_final
2020-10-23 11:54:38	ga_s2bm_ard_3-2-1_50KLU_2020-10-23_final
2020-10-27 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2020-10-27_final.stac-item
2020-10-30 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2020-10-30_final.stac-item
2020-11-29 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2020-11-29_final
2021-01-15 11:36:26	ga_s2bm_ard_3-2-1_50JPL_2021-01-15_final
2021-03-26 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2021-03-26_final
2021-06-10 11:54:24	ga_s2bm_ard_3-2-1_50JQT_2021-06-10_final
2021-06-23 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2021-06-23_final
2021-07-03 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2021-07-03_final
2021-07-03 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-07-03_final
2021-07-06 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2021-07-06_final
2021-07-10 11:54:46	ga_s2bm_ard_3-2-1_50JLT_2021-07-10_final
2021-07-10 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2021-07-10_final
2021-07-13 12:04:50	ga_s2bm_ard_3-2-1_50JKT_2021-07-13_final
2021-07-27 11:45:56	ga_s2bm_ard_3-2-1_50JNN_2021-07-27_final
2021-08-13 11:36:27	ga_s2bm_ard_3-2-1_50JPL_2021-08-13_final
2021-08-19 11:54:44	ga_s2bm_ard_3-2-1_50JLT_2021-08-19_final
2022-02-01 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2022-02-01_final
2022-02-08 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2022-02-08_final.stac-item
2022-02-12 11:46:31	ga_s2bm_ard_3-2-1_50HNK_2022-02-12_final
2022-02-12 11:46:49	ga_s2bm_ard_3-2-1_50HMJ_2022-02-12_final
2022-07-11 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2022-07-11_final.stac-item
2022-07-29 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2022-07-29_final.stac-item
2022-10-26 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2022-10-26_final.stac-item
2022-12-09 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2022-12-09_final.stac-item
2023-02-27 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2023-02-27_final.stac-item
2023-03-09 11:44:14	ga_s2bm_ard_3-2-1_50KPV_2023-03-09_final.stac-item
2023-05-04 12:03:26	ga_s2bm_ard_3-2-1_50KMC_2023-05-04_final.stac-item
2023-06-27 11:44:15	ga_s2bm_ard_3-2-1_50KPV_2023-06-27_final.stac-item
2023-08-22 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2023-08-22_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