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_50JPP_2017-08-20_final
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49KGQ_2017-08-26_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HNG_2017-11-05_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50JPR_2017-11-25_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JMP_2017-12-18_final
2018-02-02 12:13:14	ga_s2bm_ard_3-2-1_49KHS_2018-02-02_final.stac-item
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KHQ_2018-03-14_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HMG_2018-04-14_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_50HQG_2018-08-09_final.stac-item
2018-08-11 12:13:16	ga_s2bm_ard_3-2-1_49KHS_2018-08-11_final.stac-item
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HPG_2018-08-22_final.stac-item
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JGK_2018-10-07_final
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49JFM_2018-10-20_final
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49KHP_2018-10-20_final
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49KHQ_2018-10-20_final
2018-11-19 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2018-11-19_final
2018-11-19 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2018-11-19_final
2018-11-23 11:55:03	ga_s2bm_ard_3-2-1_50JNR_2018-11-23_final
2018-11-23 11:56:01	ga_s2bm_ard_3-2-1_50JNM_2018-11-23_final
2018-11-27 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2018-11-27_final.stac-item
2018-11-29 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2018-11-29_final
2018-12-10 11:46:37	ga_s2bm_ard_3-2-1_50HQJ_2018-12-10_final
2018-12-13 11:55:58	ga_s2bm_ard_3-2-1_50JNM_2018-12-13_final
2018-12-16 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2018-12-16_final.stac-item
2018-12-16 12:05:58	ga_s2bm_ard_3-2-1_50JLM_2018-12-16_final
2018-12-20 11:45:31	ga_s2bm_ard_3-2-1_50JPP_2018-12-20_final
2018-12-23 11:56:18	ga_s2bm_ard_3-2-1_50JML_2018-12-23_final
2018-12-23 11:56:21	ga_s2bm_ard_3-2-1_50JLL_2018-12-23_final
2018-12-26 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2018-12-26_final
2018-12-26 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2018-12-26_final
2018-12-26 12:04:50	ga_s2bm_ard_3-2-1_50JLS_2018-12-26_final
2019-01-02 11:56:02	ga_s2bm_ard_3-2-1_50JNM_2019-01-02_final
2019-01-02 11:56:05	ga_s2bm_ard_3-2-1_50JMM_2019-01-02_final
2019-01-02 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2019-01-02_final
2019-01-09 11:45:06	ga_s2bm_ard_3-2-1_50JPR_2019-01-09_final
2019-01-09 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2019-01-09_final
2019-01-09 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2019-01-09_final
2019-01-09 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2019-01-09_final.stac-item
2019-01-12 11:57:22	ga_s2bm_ard_3-2-1_50HLG_2019-01-12_final.stac-item
2019-01-25 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2019-01-25_final
2019-01-29 11:46:19	ga_s2bm_ard_3-2-1_50JPL_2019-01-29_final
2019-05-19 11:46:48	ga_s2bm_ard_3-2-1_50HMK_2019-05-19_final
2019-05-29 11:47:23	ga_s2bm_ard_3-2-1_50HLH_2019-05-29_final
2019-06-05 11:37:34	ga_s2bm_ard_3-2-1_50HNG_2019-06-05_final.stac-item
2019-06-11 11:55:23	ga_s2bm_ard_3-2-1_50JPQ_2019-06-11_final
2019-07-18 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-07-18_final
2019-10-19 11:55:04	ga_s2bm_ard_3-2-1_50JPR_2019-10-19_final
2019-11-18 11:55:00	ga_s2bm_ard_3-2-1_50JPR_2019-11-18_final
2019-11-21 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2019-11-21_final
2019-11-25 11:45:03	ga_s2bm_ard_3-2-1_50JPR_2019-11-25_final
2019-12-18 11:54:57	ga_s2bm_ard_3-2-1_50JPR_2019-12-18_final
2020-03-13 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-03-13_final
2020-03-17 11:56:20	ga_s2bm_ard_3-2-1_50JML_2020-03-17_final
2020-06-02 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2020-06-02_final
2020-07-22 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2020-07-22_final
2020-10-03 11:55:19	ga_s2bm_ard_3-2-1_50JPQ_2020-10-03_final
2020-10-03 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2020-10-03_final
2020-10-09 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2020-10-09_final
2020-10-16 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2020-10-16_final.stac-item
2020-10-29 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2020-10-29_final
2020-11-05 12:04:41	ga_s2bm_ard_3-2-1_50JLT_2020-11-05_final
2020-11-05 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2020-11-05_final
2020-11-25 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2020-11-25_final
2020-11-28 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2020-11-28_final
2020-11-28 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2020-11-28_final
2020-12-22 11:54:59	ga_s2bm_ard_3-2-1_50JPR_2020-12-22_final
2020-12-25 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2020-12-25_final.stac-item
2020-12-25 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2020-12-25_final
2020-12-25 12:04:46	ga_s2bm_ard_3-2-1_50JMS_2020-12-25_final
2020-12-25 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2020-12-25_final
2020-12-28 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-12-28_final
2021-01-07 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2021-01-07_final
2021-02-26 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2021-02-26_final
2021-03-16 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2021-03-16_final.stac-item
2021-04-15 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2021-04-15_final.stac-item
2021-05-21 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2021-05-21_final.stac-item
2021-06-07 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2021-06-07_final
2021-06-17 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2021-06-17_final
2021-06-30 11:55:07	ga_s2bm_ard_3-2-1_50JNR_2021-06-30_final
2021-06-30 11:55:50	ga_s2bm_ard_3-2-1_50JNN_2021-06-30_final
2021-07-06 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2021-07-06_final.stac-item
2021-07-10 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2021-07-10_final
2021-07-17 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2021-07-17_final
2021-11-04 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2021-11-04_final.stac-item
2021-11-14 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2021-11-14_final.stac-item
2021-11-17 11:54:50	ga_s2bm_ard_3-2-1_50JNS_2021-11-17_final
2021-12-07 11:57:18	ga_s2bm_ard_3-2-1_50HLG_2021-12-07_final.stac-item
2022-02-09 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2022-02-09_final.stac-item
2022-05-13 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2022-05-13_final.stac-item
2022-06-08 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2022-06-08_final
2022-06-22 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2022-06-22_final
2022-08-31 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2022-08-31_final.stac-item
2022-12-26 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2022-12-26_final.stac-item
2023-01-11 11:54:33	ga_s2bm_ard_3-2-1_50JNT_2023-01-11_final.stac-item
2023-02-04 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2023-02-04_final.stac-item
2023-02-04 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2023-02-04_final.stac-item
2023-07-07 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-07-07_final.stac-item
2023-08-15 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2023-08-15_final.stac-item
2023-09-25 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-09-25_final.stac-item
2023-12-11 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2023-12-11_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