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
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HMJ_2017-11-15_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KGR_2017-11-24_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JPS_2017-11-28_final
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HLH_2018-01-07_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49KHS_2018-02-19_final.stac-item
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49KHR_2018-10-20_final
2018-11-19 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2018-11-19_final
2018-11-23 11:53:53	ga_s2bm_ard_3-2-1_50KMA_2018-11-23_final
2018-11-23 11:55:12	ga_s2bm_ard_3-2-1_50JPQ_2018-11-23_final
2018-11-23 11:56:26	ga_s2bm_ard_3-2-1_50HNK_2018-11-23_final
2018-11-26 12:03:48	ga_s2bm_ard_3-2-1_50KMA_2018-11-26_final
2018-11-29 12:13:50	ga_s2bm_ard_3-2-1_50KKA_2018-11-29_final
2018-11-29 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2018-11-29_final
2018-11-29 12:14:37	ga_s2bm_ard_3-2-1_49JGN_2018-11-29_final
2018-11-30 11:46:49	ga_s2bm_ard_3-2-1_50HQH_2018-11-30_final
2018-12-07 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2018-12-07_final
2018-12-09 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2018-12-09_final
2018-12-16 12:03:38	ga_s2bm_ard_3-2-1_50KKB_2018-12-16_final
2018-12-20 11:44:44	ga_s2bm_ard_3-2-1_50JQS_2018-12-20_final
2018-12-20 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2018-12-20_final
2019-01-02 11:53:54	ga_s2bm_ard_3-2-1_50KMA_2019-01-02_final
2019-01-05 12:03:36	ga_s2bm_ard_3-2-1_50KMB_2019-01-05_final
2019-01-08 12:13:38	ga_s2bm_ard_3-2-1_50KKB_2019-01-08_final
2019-01-08 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2019-01-08_final
2019-01-08 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2019-01-08_final
2019-01-09 11:44:44	ga_s2bm_ard_3-2-1_50JRS_2019-01-09_final
2019-01-12 11:54:32	ga_s2bm_ard_3-2-1_50JPT_2019-01-12_final
2019-01-19 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-01-19_final
2019-01-22 11:56:11	ga_s2bm_ard_3-2-1_50JLM_2019-01-22_final
2019-01-29 11:45:32	ga_s2bm_ard_3-2-1_50JQP_2019-01-29_final
2019-02-08 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2019-02-08_final
2019-02-18 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2019-02-18_final
2019-02-28 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2019-02-28_final
2019-02-28 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2019-02-28_final
2019-11-11 12:03:51	ga_s2bm_ard_3-2-1_50KMA_2019-11-11_final
2019-11-14 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2019-11-14_final
2019-11-14 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2019-11-14_final
2019-12-25 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2019-12-25_final.stac-item
2019-12-25 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2019-12-25_final.stac-item
2020-01-04 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2020-01-04_final
2020-01-24 11:47:03	ga_s2bm_ard_3-2-1_50HMH_2020-01-24_final
2020-02-06 11:57:00	ga_s2bm_ard_3-2-1_50HMH_2020-02-06_final
2020-03-11 11:34:35	ga_s2bm_ard_3-2-1_50JRT_2020-03-11_final
2020-03-13 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-03-13_final
2020-05-19 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2020-05-19_final
2020-06-12 11:45:56	ga_s2bm_ard_3-2-1_50JNN_2020-06-12_final
2020-06-18 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-06-18_final
2020-08-28 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2020-08-28_final.stac-item
2020-10-09 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2020-10-09_final
2020-11-08 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2020-11-08_final
2020-11-08 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-11-08_final
2020-11-09 11:44:45	ga_s2bm_ard_3-2-1_50JPT_2020-11-09_final
2020-11-09 11:44:54	ga_s2bm_ard_3-2-1_50JPS_2020-11-09_final
2020-11-09 11:45:05	ga_s2bm_ard_3-2-1_50JQR_2020-11-09_final
2020-11-25 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2020-11-25_final
2020-11-28 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2020-11-28_final
2020-12-18 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2020-12-18_final
2020-12-18 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2020-12-18_final
2020-12-28 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2020-12-28_final
2020-12-29 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2020-12-29_final.stac-item
2021-01-28 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2021-01-28_final
2021-02-13 12:03:36	ga_s2bm_ard_3-2-1_50KMB_2021-02-13_final
2021-02-17 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2021-02-17_final
2021-03-12 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2021-03-12_final
2021-07-17 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2021-07-17_final.stac-item
2021-08-19 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2021-08-19_final
2021-08-23 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2021-08-23_final.stac-item
2021-10-14 12:14:28	ga_s2bm_ard_3-2-1_49KHP_2021-10-14_final
2021-12-07 11:55:21	ga_s2bm_ard_3-2-1_50JPP_2021-12-07_final
2021-12-07 11:55:59	ga_s2bm_ard_3-2-1_50JNM_2021-12-07_final
2021-12-10 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2021-12-10_final
2022-02-22 11:44:25	ga_s2bm_ard_3-2-1_50JRT_2022-02-22_final
2022-02-25 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2022-02-25_final
2022-03-14 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2022-03-14_final
2022-06-01 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2022-06-01_final
2022-06-11 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2022-06-11_final
2022-07-11 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2022-07-11_final.stac-item
2022-10-10 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2022-10-10_final.stac-item
2022-12-29 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2022-12-29_final.stac-item
2023-01-21 11:53:54	ga_s2bm_ard_3-2-1_50KMA_2023-01-21_final.stac-item
2023-01-21 11:54:46	ga_s2bm_ard_3-2-1_50JPS_2023-01-21_final.stac-item
2023-01-28 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2023-01-28_final.stac-item
2023-02-03 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2023-02-03_final.stac-item
2023-03-29 11:47:20	ga_s2bm_ard_3-2-1_50HPG_2023-03-29_final.stac-item
2023-04-24 12:04:37	ga_s2bm_ard_3-2-1_49KGP_2023-04-24_final.stac-item
2023-05-04 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-05-04_final.stac-item
2023-06-07 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-06-07_final.stac-item
2023-06-13 12:04:39	ga_s2bm_ard_3-2-1_49KGP_2023-06-13_final.stac-item
2023-07-13 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2023-07-13_final.stac-item
2023-08-03 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2023-08-03_final.stac-item
2023-10-04 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2023-10-04_final.stac-item
2023-10-04 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2023-10-04_final.stac-item
2023-10-24 12:13:41	ga_s2bm_ard_3-2-1_50KKB_2023-10-24_final.stac-item
2023-11-04 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-11-04_final.stac-item
2023-11-07 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-11-07_final.stac-item
2023-12-14 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2023-12-14_final.stac-item
2023-12-20 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2023-12-20_final.stac-item
2023-12-21 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2023-12-21_final.stac-item
2024-01-26 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2024-01-26_final.stac-item
2024-02-12 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2024-02-12_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