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
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49JGL_2017-08-26_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HPJ_2017-08-27_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HMG_2017-12-08_final.stac-item
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49JFM_2018-01-13_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HMG_2018-03-15_final.stac-item
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HNG_2018-03-22_final.stac-item
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HQJ_2018-03-22_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49JGN_2018-04-13_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49KHS_2018-06-09_final.stac-item
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_50HPG_2018-07-10_final.stac-item
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HPJ_2018-10-11_final
2018-11-26 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2018-11-26_final
2018-12-10 11:46:37	ga_s2bm_ard_3-2-1_50HQJ_2018-12-10_final
2018-12-16 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2018-12-16_final
2018-12-27 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2018-12-27_final.stac-item
2019-01-06 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2019-01-06_final.stac-item
2019-01-25 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2019-01-25_final
2019-01-25 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2019-01-25_final
2019-04-09 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2019-04-09_final.stac-item
2019-05-15 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-05-15_final.stac-item
2019-05-19 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2019-05-19_final
2019-06-08 11:46:48	ga_s2bm_ard_3-2-1_50HMK_2019-06-08_final
2019-06-08 11:47:32	ga_s2bm_ard_3-2-1_50HMG_2019-06-08_final.stac-item
2019-06-11 11:57:13	ga_s2bm_ard_3-2-1_50HMH_2019-06-11_final
2019-07-28 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2019-07-28_final
2019-08-20 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2019-08-20_final.stac-item
2019-08-30 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2019-08-30_final
2019-10-05 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2019-10-05_final
2019-11-04 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2019-11-04_final
2019-11-22 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2019-11-22_final
2019-12-14 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2019-12-14_final
2019-12-15 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2019-12-15_final
2019-12-21 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2019-12-21_final
2019-12-24 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2019-12-24_final
2020-01-03 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2020-01-03_final
2020-01-23 12:15:04	ga_s2bm_ard_3-2-1_49JGL_2020-01-23_final
2020-02-19 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2020-02-19_final
2020-03-24 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2020-03-24_final
2020-04-13 11:47:13	ga_s2bm_ard_3-2-1_50HPG_2020-04-13_final.stac-item
2020-06-28 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-06-28_final
2020-06-28 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2020-06-28_final
2020-06-29 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2020-06-29_final
2020-07-02 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2020-07-02_final
2020-07-12 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2020-07-12_final
2020-07-19 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2020-07-19_final
2020-07-22 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2020-07-22_final.stac-item
2020-07-25 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2020-07-25_final
2020-08-14 11:57:24	ga_s2bm_ard_3-2-1_50HMG_2020-08-14_final.stac-item
2020-08-30 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2020-08-30_final
2020-09-10 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2020-09-10_final
2020-09-29 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-09-29_final
2020-09-30 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2020-09-30_final
2020-10-09 12:14:31	ga_s2bm_ard_3-2-1_49KGP_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 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2020-10-29_final
2020-10-30 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2020-10-30_final
2020-11-05 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2020-11-05_final
2020-11-05 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2020-11-05_final
2020-11-25 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2020-11-25_final
2020-12-25 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2020-12-25_final.stac-item
2020-12-25 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2020-12-25_final
2020-12-28 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-12-28_final
2021-01-04 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2021-01-04_final
2021-01-24 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2021-01-24_final
2021-02-10 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2021-02-10_final
2021-02-16 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2021-02-16_final
2021-02-26 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2021-02-26_final
2021-03-05 12:04:20	ga_s2bm_ard_3-2-1_49KHQ_2021-03-05_final
2021-03-08 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-03-08_final
2021-06-24 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2021-06-24_final
2021-06-27 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2021-06-27_final
2021-07-06 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2021-07-06_final
2021-07-17 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2021-07-17_final
2021-08-16 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2021-08-16_final.stac-item
2021-08-22 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2021-08-22_final
2021-08-22 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2021-08-22_final
2021-10-15 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2021-10-15_final
2021-12-23 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2021-12-23_final
2022-01-23 11:47:15	ga_s2bm_ard_3-2-1_50HNG_2022-01-23_final.stac-item
2022-01-30 11:37:01	ga_s2bm_ard_3-2-1_50HPH_2022-01-30_final
2022-02-18 12:05:49	ga_s2bm_ard_3-2-1_50JKN_2022-02-18_final
2022-03-21 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2022-03-21_final
2022-03-23 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2022-03-23_final
2022-04-20 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2022-04-20_final.stac-item
2022-06-12 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2022-06-12_final
2022-06-22 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2022-06-22_final
2022-08-31 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2022-08-31_final
2022-10-09 12:14:58	ga_s2bm_ard_3-2-1_49JFM_2022-10-09_final.stac-item
2022-11-25 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2022-11-25_final.stac-item
2022-11-28 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2022-11-28_final.stac-item
2022-11-29 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2022-11-29_final.stac-item
2023-01-07 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2023-01-07_final.stac-item
2023-01-24 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2023-01-24_final.stac-item
2023-03-05 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2023-03-05_final.stac-item
2023-03-15 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2023-03-15_final.stac-item
2023-04-05 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2023-04-05_final.stac-item
2023-07-17 11:47:26	ga_s2bm_ard_3-2-1_50HNG_2023-07-17_final.stac-item
2023-10-24 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2023-10-24_final.stac-item
2023-11-04 11:47:20	ga_s2bm_ard_3-2-1_50HPG_2023-11-04_final.stac-item
2023-12-01 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2023-12-01_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