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
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50JRT_2017-09-16_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HNK_2018-05-07_final
2018-06-22 12:13:20	ga_s2bm_ard_3-2-1_50KKA_2018-06-22_final
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_49KHQ_2018-09-20_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50JQM_2018-09-21_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JLL_2018-09-24_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JMM_2018-09-24_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49KGQ_2018-10-17_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49KHR_2018-10-30_final
2018-11-06 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2018-11-06_final
2018-11-06 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2018-11-06_final
2018-11-16 12:04:46	ga_s2bm_ard_3-2-1_50JMS_2018-11-16_final
2018-11-16 12:04:56	ga_s2bm_ard_3-2-1_50JMR_2018-11-16_final
2018-11-19 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2018-11-19_final
2018-12-20 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2018-12-20_final
2019-01-28 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2019-01-28_final
2019-07-11 11:56:34	ga_s2bm_ard_3-2-1_50JLL_2019-07-11_final
2019-09-22 12:06:04	ga_s2bm_ard_3-2-1_50JLM_2019-09-22_final
2019-11-14 12:14:30	ga_s2bm_ard_3-2-1_49JHN_2019-11-14_final
2019-11-15 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2019-11-15_final
2020-02-19 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2020-02-19_final
2020-04-12 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2020-04-12_final
2020-05-26 11:56:25	ga_s2bm_ard_3-2-1_50JNL_2020-05-26_final
2020-06-02 11:44:47	ga_s2bm_ard_3-2-1_50JRS_2020-06-02_final
2020-09-13 11:55:48	ga_s2bm_ard_3-2-1_50JKP_2020-09-13_final
2020-09-17 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2020-09-17_final.stac-item
2020-09-29 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2020-09-29_final
2020-10-06 12:04:10	ga_s2bm_ard_3-2-1_50KKA_2020-10-06_final
2020-11-08 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2020-11-08_final
2020-11-18 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2020-11-18_final
2020-11-25 12:03:59	ga_s2bm_ard_3-2-1_50KKA_2020-11-25_final
2021-01-14 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2021-01-14_final
2021-03-29 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2021-03-29_final
2021-09-05 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2021-09-05_final
2021-09-08 11:56:33	ga_s2bm_ard_3-2-1_50HMK_2021-09-08_final
2021-09-08 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2021-09-08_final
2021-10-15 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2021-10-15_final
2021-10-18 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2021-10-18_final
2021-10-22 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2021-10-22_final
2021-11-01 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2021-11-01_final
2021-11-07 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2021-11-07_final
2021-11-07 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2021-11-07_final
2021-11-30 12:05:47	ga_s2bm_ard_3-2-1_50JLN_2021-11-30_final
2021-12-27 11:56:06	ga_s2bm_ard_3-2-1_50JLM_2021-12-27_final
2021-12-27 11:56:13	ga_s2bm_ard_3-2-1_50JNL_2021-12-27_final
2022-01-23 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2022-01-23_final
2022-01-26 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2022-01-26_final
2022-02-09 11:37:01	ga_s2bm_ard_3-2-1_50HPH_2022-02-09_final
2022-02-12 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2022-02-12_final
2022-03-30 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2022-03-30_final
2022-03-30 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2022-03-30_final
2022-04-19 12:04:33	ga_s2bm_ard_3-2-1_50JLT_2022-04-19_final
2022-04-26 11:56:16	ga_s2bm_ard_3-2-1_50JML_2022-04-26_final
2022-04-26 11:56:30	ga_s2bm_ard_3-2-1_50HMK_2022-04-26_final
2022-04-26 11:56:48	ga_s2bm_ard_3-2-1_50HLJ_2022-04-26_final
2022-05-23 11:45:25	ga_s2bm_ard_3-2-1_50JNQ_2022-05-23_final
2022-05-23 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2022-05-23_final
2022-06-05 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2022-06-05_final
2022-06-05 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2022-06-05_final
2022-06-12 11:46:22	ga_s2bm_ard_3-2-1_50JPL_2022-06-12_final
2022-06-22 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2022-06-22_final
2022-07-12 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2022-07-12_final
2022-07-25 11:56:35	ga_s2bm_ard_3-2-1_50HNK_2022-07-25_final
2022-08-24 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2022-08-24_final
2022-09-13 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2022-09-13_final.stac-item
2022-10-13 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2022-10-13_final.stac-item
2022-12-09 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2022-12-09_final.stac-item
2023-01-05 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2023-01-05_final.stac-item
2023-01-14 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2023-01-14_final.stac-item
2023-03-05 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2023-03-05_final.stac-item
2023-03-09 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2023-03-09_final.stac-item
2023-03-12 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2023-03-12_final.stac-item
2023-03-22 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2023-03-22_final.stac-item
2023-03-29 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2023-03-29_final.stac-item
2023-04-04 12:04:43	ga_s2bm_ard_3-2-1_50JLT_2023-04-04_final.stac-item
2023-04-14 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2023-04-14_final.stac-item
2023-04-24 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-04-24_final.stac-item
2023-04-24 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2023-04-24_final.stac-item
2023-05-01 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2023-05-01_final.stac-item
2023-05-08 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2023-05-08_final.stac-item
2023-06-04 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2023-06-04_final.stac-item
2023-06-07 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2023-06-07_final.stac-item
2023-07-17 11:46:46	ga_s2bm_ard_3-2-1_50HMK_2023-07-17_final.stac-item
2023-07-17 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-07-17_final.stac-item
2023-08-12 12:04:56	ga_s2bm_ard_3-2-1_50JMS_2023-08-12_final.stac-item
2023-08-16 11:47:26	ga_s2bm_ard_3-2-1_50HNG_2023-08-16_final.stac-item
2023-08-19 11:56:23	ga_s2bm_ard_3-2-1_50JNL_2023-08-19_final.stac-item
2023-08-19 11:56:27	ga_s2bm_ard_3-2-1_50JML_2023-08-19_final.stac-item
2023-08-19 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2023-08-19_final.stac-item
2023-11-10 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-11-10_final.stac-item
2023-12-01 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2023-12-01_final.stac-item
2023-12-13 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2023-12-13_final.stac-item
2023-12-17 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2023-12-17_final.stac-item
2023-12-20 12:06:04	ga_s2bm_ard_3-2-1_50JLM_2023-12-20_final.stac-item
2024-01-29 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2024-01-29_final.stac-item
2024-02-05 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2024-02-05_final.stac-item
2024-03-06 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2024-03-06_final.stac-item
2024-04-02 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2024-04-02_final.stac-item
2024-05-02 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2024-05-02_final.stac-item
2024-05-02 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2024-05-02_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