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_49JGJ_2017-08-13_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49JGL_2017-09-02_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HPJ_2017-09-16_final
2017-09-19 11:55:56	ga_s2bm_ard_3-2-1_50HNK_2017-09-19_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49JGN_2017-11-11_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49JGJ_2017-12-31_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-05-03_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_50HPJ_2018-05-21_final
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49KGP_2018-07-22_final
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49KGP_2018-09-10_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49KHQ_2018-10-17_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49JGN_2018-10-30_final
2018-11-06 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2018-11-06_final
2018-11-19 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2018-11-19_final
2018-11-23 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2018-11-23_final
2018-11-26 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2018-11-26_final
2018-11-29 12:14:37	ga_s2bm_ard_3-2-1_49JGN_2018-11-29_final
2018-11-30 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2018-11-30_final
2018-12-10 11:46:42	ga_s2bm_ard_3-2-1_50HPJ_2018-12-10_final
2018-12-23 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2018-12-23_final
2019-07-18 11:47:29	ga_s2bm_ard_3-2-1_50HNG_2019-07-18_final.stac-item
2019-07-24 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2019-07-24_final
2019-10-19 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2019-10-19_final
2019-11-08 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2019-11-08_final
2020-02-02 12:14:24	ga_s2bm_ard_3-2-1_49JHN_2020-02-02_final
2020-03-23 12:14:29	ga_s2bm_ard_3-2-1_49JHN_2020-03-23_final
2020-04-16 11:56:26	ga_s2bm_ard_3-2-1_50HNK_2020-04-16_final
2020-05-02 12:14:28	ga_s2bm_ard_3-2-1_49JHN_2020-05-02_final
2020-06-22 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2020-06-22_final
2020-08-01 11:47:20	ga_s2bm_ard_3-2-1_50HPG_2020-08-01_final.stac-item
2020-08-07 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2020-08-07_final
2020-09-06 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2020-09-06_final
2020-09-13 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2020-09-13_final
2020-09-23 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2020-09-23_final
2020-10-06 12:04:10	ga_s2bm_ard_3-2-1_49KHR_2020-10-06_final
2020-10-06 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2020-10-06_final
2020-10-17 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2020-10-17_final.stac-item
2020-11-15 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2020-11-15_final
2020-11-18 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2020-11-18_final
2020-12-08 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2020-12-08_final
2021-05-08 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-05-08_final
2021-09-11 12:04:38	ga_s2bm_ard_3-2-1_49JHN_2021-09-11_final
2021-10-11 12:05:09	ga_s2bm_ard_3-2-1_49JFM_2021-10-11_final
2021-10-18 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2021-10-18_final
2021-11-10 12:05:08	ga_s2bm_ard_3-2-1_49JFM_2021-11-10_final
2021-11-27 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2021-11-27_final
2021-11-27 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2021-11-27_final
2021-11-27 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2021-11-27_final
2021-11-30 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2021-11-30_final
2022-01-10 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2022-01-10_final
2022-01-26 11:56:30	ga_s2bm_ard_3-2-1_50HMK_2022-01-26_final
2022-02-05 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2022-02-05_final
2022-02-08 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2022-02-08_final
2022-02-15 11:57:17	ga_s2bm_ard_3-2-1_50HLG_2022-02-15_final.stac-item
2022-02-22 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2022-02-22_final.stac-item
2022-03-14 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2022-03-14_final
2022-03-14 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2022-03-14_final
2022-04-10 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2022-04-10_final
2022-04-16 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2022-04-16_final
2022-05-16 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2022-05-16_final
2022-05-26 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2022-05-26_final
2022-06-05 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2022-06-05_final
2022-06-11 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2022-06-11_final
2022-07-02 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2022-07-02_final
2022-08-27 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2022-08-27_final
2022-08-31 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2022-08-31_final
2022-09-10 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2022-09-10_final.stac-item
2022-09-23 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2022-09-23_final.stac-item
2022-09-30 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-09-30_final.stac-item
2022-12-05 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2022-12-05_final.stac-item
2023-01-07 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2023-01-07_final.stac-item
2023-02-17 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2023-02-17_final.stac-item
2023-03-12 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2023-03-12_final.stac-item
2023-04-25 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2023-04-25_final.stac-item
2023-04-28 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2023-04-28_final.stac-item
2023-05-01 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2023-05-01_final.stac-item
2023-05-08 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2023-05-08_final.stac-item
2023-05-14 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2023-05-14_final.stac-item
2023-05-31 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2023-05-31_final.stac-item
2023-06-17 11:47:15	ga_s2bm_ard_3-2-1_50HMH_2023-06-17_final.stac-item
2023-06-27 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2023-06-27_final.stac-item
2023-06-30 11:56:56	ga_s2bm_ard_3-2-1_50HMJ_2023-06-30_final.stac-item
2023-07-03 12:04:39	ga_s2bm_ard_3-2-1_49KGP_2023-07-03_final.stac-item
2023-08-06 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-08-06_final.stac-item
2023-08-06 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2023-08-06_final.stac-item
2023-08-23 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2023-08-23_final.stac-item
2023-09-08 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2023-09-08_final.stac-item
2023-09-08 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2023-09-08_final.stac-item
2023-09-15 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2023-09-15_final.stac-item
2023-09-28 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2023-09-28_final.stac-item
2023-10-15 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2023-10-15_final.stac-item
2023-10-24 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2023-10-24_final.stac-item
2023-10-25 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2023-10-25_final.stac-item
2023-10-28 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2023-10-28_final.stac-item
2023-12-20 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2023-12-20_final.stac-item
2024-03-23 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2024-03-23_final.stac-item
2024-04-19 11:37:27	ga_s2bm_ard_3-2-1_50HPG_2024-04-19_final.stac-item
2024-04-25 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2024-04-25_final.stac-item
2024-05-09 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2024-05-09_final.stac-item
2024-05-09 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2024-05-09_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