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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49KHP_2017-08-13_final
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JPQ_2017-09-09_final
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_49JHN_2017-09-12_final
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_50HQG_2017-12-12_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HMG_2018-01-04_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HNK_2018-01-14_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JLT_2018-03-08_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JMT_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JNR_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JNS_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JNT_2018-03-28_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKR_2018-03-31_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKT_2018-03-31_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JLS_2018-03-31_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JPQ_2018-04-04_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50HLH_2018-04-07_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JMT_2018-04-07_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JGM_2018-04-10_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_49JGL_2018-04-10_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50HPJ_2018-04-11_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JMM_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JPL_2018-04-14_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HPK_2018-04-14_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGL_2018-04-20_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JLT_2018-04-20_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HPJ_2018-04-21_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HQH_2018-04-21_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HQK_2018-04-21_final
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49KHS_2018-06-12_final.stac-item
2018-07-10 11:37:12	ga_s2bm_ard_3-2-1_50HPG_2018-07-10_final.stac-item
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_50JNR_2018-08-22_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_50HPG_2018-09-08_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HMG_2018-09-21_final.stac-item
2018-12-09 12:15:04	ga_s2bm_ard_3-2-1_49JGL_2018-12-09_final
2018-12-19 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2018-12-19_final
2019-01-06 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2019-01-06_final
2019-02-11 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-02-11_final
2019-03-20 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2019-03-20_final.stac-item
2019-03-30 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2019-03-30_final.stac-item
2019-03-30 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2019-03-30_final.stac-item
2019-05-09 11:47:25	ga_s2bm_ard_3-2-1_50HPG_2019-05-09_final.stac-item
2019-05-22 11:55:47	ga_s2bm_ard_3-2-1_50JMP_2019-05-22_final
2019-05-28 12:13:48	ga_s2bm_ard_3-2-1_49KHS_2019-05-28_final.stac-item
2019-05-29 11:45:33	ga_s2bm_ard_3-2-1_50JNQ_2019-05-29_final
2019-05-29 11:45:59	ga_s2bm_ard_3-2-1_50JPN_2019-05-29_final
2019-05-29 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-05-29_final
2019-06-01 11:54:53	ga_s2bm_ard_3-2-1_50JLT_2019-06-01_final
2019-06-01 11:55:55	ga_s2bm_ard_3-2-1_50JKP_2019-06-01_final
2019-06-11 11:57:31	ga_s2bm_ard_3-2-1_50HLG_2019-06-11_final.stac-item
2019-06-15 11:37:28	ga_s2bm_ard_3-2-1_50HPG_2019-06-15_final.stac-item
2019-07-11 11:54:47	ga_s2bm_ard_3-2-1_50JLT_2019-07-11_final
2019-08-03 12:03:52	ga_s2bm_ard_3-2-1_49KHS_2019-08-03_final.stac-item
2019-08-17 11:47:30	ga_s2bm_ard_3-2-1_50HMG_2019-08-17_final.stac-item
2019-11-01 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2019-11-01_final.stac-item
2019-12-05 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2019-12-05_final
2020-03-03 12:13:37	ga_s2bm_ard_3-2-1_49KHS_2020-03-03_final.stac-item
2020-05-30 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2020-05-30_final.stac-item
2020-06-21 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2020-06-21_final.stac-item
2020-08-28 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2020-08-28_final.stac-item
2020-10-17 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2020-10-17_final.stac-item
2020-10-27 11:36:30	ga_s2bm_ard_3-2-1_50JPL_2020-10-27_final
2020-12-12 11:57:17	ga_s2bm_ard_3-2-1_50HMG_2020-12-12_final.stac-item
2020-12-18 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2020-12-18_final
2020-12-26 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2020-12-26_final.stac-item
2021-01-27 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2021-01-27_final.stac-item
2021-05-18 11:45:06	ga_s2bm_ard_3-2-1_50JPR_2021-05-18_final
2021-05-18 11:45:11	ga_s2bm_ard_3-2-1_50JNR_2021-05-18_final
2021-05-31 11:55:03	ga_s2bm_ard_3-2-1_50JPR_2021-05-31_final
2021-05-31 11:55:16	ga_s2bm_ard_3-2-1_50JPQ_2021-05-31_final
2021-06-13 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-06-13_final
2021-06-26 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2021-06-26_final
2021-06-30 11:54:41	ga_s2bm_ard_3-2-1_50JMT_2021-06-30_final
2021-06-30 11:55:07	ga_s2bm_ard_3-2-1_50JNR_2021-06-30_final
2021-06-30 11:55:36	ga_s2bm_ard_3-2-1_50JNP_2021-06-30_final
2021-06-30 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2021-06-30_final
2021-07-03 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2021-07-03_final
2021-07-03 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2021-07-03_final
2021-07-03 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-07-03_final
2021-08-13 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2021-08-13_final.stac-item
2021-08-16 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2021-08-16_final.stac-item
2021-08-19 11:54:51	ga_s2bm_ard_3-2-1_50JNS_2021-08-19_final
2021-08-22 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2021-08-22_final
2021-08-22 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-08-22_final
2021-08-22 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-08-22_final
2021-10-15 11:45:12	ga_s2bm_ard_3-2-1_50JNR_2021-10-15_final
2021-10-24 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2021-10-24_final
2021-11-11 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2021-11-11_final.stac-item
2021-12-04 11:45:45	ga_s2bm_ard_3-2-1_50JPN_2021-12-04_final
2021-12-04 11:46:00	ga_s2bm_ard_3-2-1_50JPM_2021-12-04_final
2021-12-07 11:55:01	ga_s2bm_ard_3-2-1_50JNR_2021-12-07_final
2021-12-07 11:56:06	ga_s2bm_ard_3-2-1_50JLM_2021-12-07_final
2022-03-14 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2022-03-14_final.stac-item
2022-07-19 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2022-07-19_final.stac-item
2023-01-11 11:54:47	ga_s2bm_ard_3-2-1_50JNS_2023-01-11_final.stac-item
2023-01-11 11:55:45	ga_s2bm_ard_3-2-1_50JNN_2023-01-11_final.stac-item
2023-04-14 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2023-04-14_final.stac-item
2023-10-11 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-10-11_final.stac-item
2023-11-10 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-11-10_final.stac-item
2023-12-30 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-12-30_final.stac-item
2024-02-05 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2024-02-05_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