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
2017-07-01 11:56:07	ga_s2bm_ard_3-2-1_50JNL_2017-07-01_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49KHR_2017-10-12_final
2017-12-02 11:34:20	ga_s2bm_ard_3-2-1_50JQL_2017-12-02_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49JGL_2017-12-11_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50JMP_2017-12-28_final
2018-01-01 11:35:58	ga_s2bm_ard_3-2-1_50HNG_2018-01-01_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HMJ_2018-02-06_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50JQS_2018-03-05_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HNJ_2018-04-04_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_50JRS_2018-04-11_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JNM_2018-04-14_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HNK_2018-05-07_final
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2018-06-03_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50JKP_2018-06-19_final
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49JFM_2018-07-22_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HPH_2018-07-23_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HPH_2018-08-02_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50HLJ_2018-08-05_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50HMJ_2018-08-05_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49JGL_2018-09-07_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49KHP_2018-10-07_final
2018-11-27 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2018-11-27_final
2019-01-08 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2019-01-08_final
2019-03-17 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2019-03-17_final
2019-04-05 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2019-04-05_final
2019-04-09 11:46:23	ga_s2bm_ard_3-2-1_50JPL_2019-04-09_final
2019-06-04 12:03:52	ga_s2bm_ard_3-2-1_49KHS_2019-06-04_final.stac-item
2019-06-17 12:14:20	ga_s2bm_ard_3-2-1_49KGQ_2019-06-17_final
2019-06-28 11:46:42	ga_s2bm_ard_3-2-1_50HPK_2019-06-28_final
2019-08-16 12:14:19	ga_s2bm_ard_3-2-1_49KGQ_2019-08-16_final
2019-08-30 11:56:58	ga_s2bm_ard_3-2-1_50HLJ_2019-08-30_final
2019-09-15 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2019-09-15_final
2019-09-19 11:55:38	ga_s2bm_ard_3-2-1_50JMP_2019-09-19_final
2019-12-02 11:36:33	ga_s2bm_ard_3-2-1_50HPK_2019-12-02_final
2019-12-11 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2019-12-11_final
2019-12-14 12:14:54	ga_s2bm_ard_3-2-1_49JFM_2019-12-14_final
2019-12-31 12:04:52	ga_s2bm_ard_3-2-1_50JKS_2019-12-31_final
2020-01-07 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2020-01-07_final
2020-01-10 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2020-01-10_final
2020-01-11 11:37:01	ga_s2bm_ard_3-2-1_50HPH_2020-01-11_final
2020-02-12 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2020-02-12_final
2020-07-02 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2020-07-02_final
2020-07-22 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2020-07-22_final
2020-09-03 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2020-09-03_final
2020-09-16 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-09-16_final
2020-11-12 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2020-11-12_final
2020-11-22 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2020-11-22_final.stac-item
2021-04-04 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2021-04-04_final
2021-05-17 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2021-05-17_final
2021-06-23 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2021-06-23_final
2021-06-24 11:35:51	ga_s2bm_ard_3-2-1_50JQN_2021-06-24_final
2021-07-07 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2021-07-07_final
2021-08-22 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2021-08-22_final
2021-10-08 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2021-10-08_final.stac-item
2021-11-14 11:46:18	ga_s2bm_ard_3-2-1_50JPL_2021-11-14_final
2021-11-23 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2021-11-23_final
2021-12-07 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2021-12-07_final
2022-01-22 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2022-01-22_final
2022-02-22 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2022-02-22_final
2022-03-27 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2022-03-27_final
2022-04-02 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2022-04-02_final
2022-04-03 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2022-04-03_final
2022-04-10 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2022-04-10_final
2022-05-09 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2022-05-09_final
2022-05-19 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2022-05-19_final
2022-08-31 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2022-08-31_final
2022-09-26 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2022-09-26_final.stac-item
2022-10-10 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2022-10-10_final.stac-item
2022-10-30 11:45:16	ga_s2bm_ard_3-2-1_50JQQ_2022-10-30_final.stac-item
2022-11-16 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2022-11-16_final.stac-item
2022-11-29 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2022-11-29_final.stac-item
2022-12-02 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2022-12-02_final.stac-item
2022-12-15 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2022-12-15_final.stac-item
2022-12-29 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2022-12-29_final.stac-item
2023-01-15 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2023-01-15_final.stac-item
2023-01-27 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2023-01-27_final.stac-item
2023-01-28 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2023-01-28_final.stac-item
2023-02-17 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2023-02-17_final.stac-item
2023-04-14 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2023-04-14_final.stac-item
2023-04-28 11:45:06	ga_s2bm_ard_3-2-1_50JQR_2023-04-28_final.stac-item
2023-06-06 12:13:59	ga_s2bm_ard_3-2-1_50KKA_2023-06-06_final.stac-item
2023-06-14 11:36:39	ga_s2bm_ard_3-2-1_50HQK_2023-06-14_final.stac-item
2023-07-07 11:46:28	ga_s2bm_ard_3-2-1_50JNL_2023-07-07_final.stac-item
2023-09-22 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2023-09-22_final.stac-item
2023-09-28 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2023-09-28_final.stac-item
2023-10-21 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2023-10-21_final.stac-item
2023-10-22 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2023-10-22_final.stac-item
2023-10-31 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2023-10-31_final.stac-item
2023-11-13 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2023-11-13_final.stac-item
2023-11-14 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2023-11-14_final.stac-item
2023-12-10 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2023-12-10_final.stac-item
2024-01-16 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2024-01-16_final.stac-item
2024-02-12 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2024-02-12_final.stac-item
2024-02-29 11:36:18	ga_s2bm_ard_3-2-1_50JQL_2024-02-29_final.stac-item
2024-03-23 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2024-03-23_final.stac-item
2024-03-26 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2024-03-26_final.stac-item
2024-04-05 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2024-04-05_final.stac-item
2024-04-18 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2024-04-18_final.stac-item
2024-04-25 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2024-04-25_final.stac-item
2024-04-28 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2024-04-28_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