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
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JPQ_2017-08-20_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KGQ_2017-11-14_final
2017-11-22 11:35:56	ga_s2bm_ard_3-2-1_50HQG_2017-11-22_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50JQR_2017-11-25_final
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HQH_2017-12-05_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50JKP_2017-12-11_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JNN_2017-12-18_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50KLU_2017-12-18_final
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_50JRT_2018-02-23_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JRT_2018-04-04_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HPG_2018-04-24_final.stac-item
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_50JRT_2018-08-22_final
2018-11-06 12:03:35	ga_s2bm_ard_3-2-1_50KMB_2018-11-06_final
2018-11-09 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2018-11-09_final
2018-11-23 11:55:31	ga_s2bm_ard_3-2-1_50JNP_2018-11-23_final
2018-11-26 12:04:32	ga_s2bm_ard_3-2-1_50JMT_2018-11-26_final
2018-11-29 12:14:03	ga_s2bm_ard_3-2-1_50KKV_2018-11-29_final
2018-12-06 12:04:16	ga_s2bm_ard_3-2-1_50KMU_2018-12-06_final
2018-12-13 11:55:09	ga_s2bm_ard_3-2-1_50JPQ_2018-12-13_final
2018-12-16 12:04:04	ga_s2bm_ard_3-2-1_50KLV_2018-12-16_final
2018-12-16 12:04:12	ga_s2bm_ard_3-2-1_49KGQ_2018-12-16_final
2018-12-20 11:45:16	ga_s2bm_ard_3-2-1_50JPQ_2018-12-20_final
2018-12-23 11:53:38	ga_s2bm_ard_3-2-1_50KMB_2018-12-23_final
2018-12-23 11:54:33	ga_s2bm_ard_3-2-1_50JNT_2018-12-23_final
2018-12-23 11:57:19	ga_s2bm_ard_3-2-1_50HLG_2018-12-23_final.stac-item
2018-12-26 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2018-12-26_final
2018-12-27 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2018-12-27_final
2019-01-05 12:04:08	ga_s2bm_ard_3-2-1_50KLV_2019-01-05_final
2019-01-05 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2019-01-05_final
2019-01-12 11:53:52	ga_s2bm_ard_3-2-1_50KNA_2019-01-12_final
2019-01-12 11:55:25	ga_s2bm_ard_3-2-1_50JPP_2019-01-12_final
2019-01-18 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2019-01-18_final
2019-01-25 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2019-01-25_final
2019-01-25 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2019-01-25_final
2019-01-25 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2019-01-25_final
2019-01-29 11:44:38	ga_s2bm_ard_3-2-1_50JPT_2019-01-29_final
2019-01-29 11:45:36	ga_s2bm_ard_3-2-1_50JPP_2019-01-29_final
2019-03-13 11:53:51	ga_s2bm_ard_3-2-1_50KNA_2019-03-13_final
2019-05-29 11:47:29	ga_s2bm_ard_3-2-1_50HNG_2019-05-29_final.stac-item
2019-11-05 11:44:31	ga_s2bm_ard_3-2-1_50JRT_2019-11-05_final
2019-11-05 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2019-11-05_final.stac-item
2019-11-08 11:53:56	ga_s2bm_ard_3-2-1_50KMA_2019-11-08_final
2019-11-14 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2019-11-14_final
2019-11-14 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2019-11-14_final
2019-11-18 11:54:46	ga_s2bm_ard_3-2-1_50JPS_2019-11-18_final
2019-11-24 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2019-11-24_final
2019-11-24 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2019-11-24_final
2019-12-24 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2019-12-24_final
2020-02-23 11:44:27	ga_s2bm_ard_3-2-1_50JRT_2020-02-23_final
2020-03-13 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2020-03-13_final
2020-03-13 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-03-13_final
2020-06-28 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2020-06-28_final.stac-item
2020-06-29 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2020-06-29_final.stac-item
2020-07-15 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2020-07-15_final
2020-09-26 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-09-26_final
2020-10-13 11:53:43	ga_s2bm_ard_3-2-1_50KNB_2020-10-13_final
2020-10-20 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2020-10-20_final.stac-item
2020-10-27 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2020-10-27_final
2020-10-30 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2020-10-30_final.stac-item
2020-11-05 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2020-11-05_final
2020-11-05 12:04:09	ga_s2bm_ard_3-2-1_50KMV_2020-11-05_final
2020-11-08 12:14:09	ga_s2bm_ard_3-2-1_50KKV_2020-11-08_final
2020-11-22 11:53:54	ga_s2bm_ard_3-2-1_50KNA_2020-11-22_final
2020-11-22 11:54:48	ga_s2bm_ard_3-2-1_50JPS_2020-11-22_final
2020-12-06 11:37:25	ga_s2bm_ard_3-2-1_50HNG_2020-12-06_final.stac-item
2020-12-12 11:54:45	ga_s2bm_ard_3-2-1_50JPS_2020-12-12_final
2020-12-18 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2020-12-18_final
2020-12-19 11:45:17	ga_s2bm_ard_3-2-1_50JPQ_2020-12-19_final
2020-12-25 12:04:33	ga_s2bm_ard_3-2-1_50JMT_2020-12-25_final
2020-12-29 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2020-12-29_final.stac-item
2021-01-24 12:03:44	ga_s2bm_ard_3-2-1_50KNA_2021-01-24_final
2021-03-02 11:53:38	ga_s2bm_ard_3-2-1_50KNB_2021-03-02_final
2021-03-08 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2021-03-08_final
2021-05-18 11:45:21	ga_s2bm_ard_3-2-1_50JPQ_2021-05-18_final
2021-05-18 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2021-05-18_final
2021-06-27 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2021-06-27_final
2021-06-30 11:55:36	ga_s2bm_ard_3-2-1_50JNP_2021-06-30_final
2021-07-03 12:04:49	ga_s2bm_ard_3-2-1_49JHM_2021-07-03_final
2021-08-16 11:46:53	ga_s2bm_ard_3-2-1_50HQH_2021-08-16_final
2021-08-19 11:54:33	ga_s2bm_ard_3-2-1_50JPT_2021-08-19_final
2021-08-22 12:03:43	ga_s2bm_ard_3-2-1_50KNA_2021-08-22_final
2021-09-02 11:34:34	ga_s2bm_ard_3-2-1_50JRT_2021-09-02_final
2021-09-22 11:34:34	ga_s2bm_ard_3-2-1_50JRT_2021-09-22_final
2021-10-24 12:14:47	ga_s2bm_ard_3-2-1_49JGN_2021-10-24_final
2021-10-24 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2021-10-24_final
2021-11-14 11:45:06	ga_s2bm_ard_3-2-1_50JPR_2021-11-14_final
2021-11-17 11:53:55	ga_s2bm_ard_3-2-1_50KMA_2021-11-17_final
2021-11-17 11:55:14	ga_s2bm_ard_3-2-1_50JPQ_2021-11-17_final
2021-12-04 11:44:44	ga_s2bm_ard_3-2-1_50JQS_2021-12-04_final
2021-12-07 11:54:46	ga_s2bm_ard_3-2-1_50JNS_2021-12-07_final
2021-12-13 12:13:44	ga_s2bm_ard_3-2-1_49KHR_2021-12-13_final
2021-12-21 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2021-12-21_final
2022-01-23 11:44:25	ga_s2bm_ard_3-2-1_50JRT_2022-01-23_final
2022-02-12 11:45:05	ga_s2bm_ard_3-2-1_50JNR_2022-02-12_final
2022-03-24 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2022-03-24_final
2022-11-19 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2022-11-19_final.stac-item
2023-01-21 11:54:31	ga_s2bm_ard_3-2-1_50JPT_2023-01-21_final.stac-item
2023-02-07 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2023-02-07_final.stac-item
2023-02-27 11:45:04	ga_s2bm_ard_3-2-1_50JQR_2023-02-27_final.stac-item
2023-10-15 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2023-10-15_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