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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JKP_2017-07-11_final
2017-07-17 12:13:21	ga_s2bm_ard_3-2-1_49KHR_2017-07-17_final
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50JPL_2017-07-18_final
2017-08-30 11:56:02	ga_s2bm_ard_3-2-1_50HMK_2017-08-30_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HPH_2017-11-15_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HMH_2017-11-25_final
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50HLK_2017-11-28_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49JGL_2017-12-31_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JLN_2018-02-16_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HLH_2018-03-18_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JLL_2018-04-17_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKQ_2018-04-20_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49KHR_2018-07-09_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HQJ_2018-07-23_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49JGL_2018-08-21_final
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49JGL_2018-09-10_final
2018-11-26 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2018-11-26_final
2018-12-07 11:36:46	ga_s2bm_ard_3-2-1_50HPJ_2018-12-07_final
2018-12-20 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2018-12-20_final
2018-12-29 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2018-12-29_final
2019-01-25 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2019-01-25_final
2019-07-08 11:46:35	ga_s2bm_ard_3-2-1_50JML_2019-07-08_final
2019-07-08 11:47:11	ga_s2bm_ard_3-2-1_50HPH_2019-07-08_final
2019-08-23 12:05:31	ga_s2bm_ard_3-2-1_50JKQ_2019-08-23_final
2019-09-05 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2019-09-05_final
2019-09-16 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2019-09-16_final
2019-11-21 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2019-11-21_final
2019-12-11 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2019-12-11_final
2020-01-17 11:55:50	ga_s2bm_ard_3-2-1_50JLN_2020-01-17_final
2020-02-06 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2020-02-06_final
2020-02-23 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2020-02-23_final
2020-03-30 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2020-03-30_final.stac-item
2020-04-20 11:36:58	ga_s2bm_ard_3-2-1_50HQH_2020-04-20_final
2020-04-29 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2020-04-29_final
2020-05-19 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2020-05-19_final
2020-06-18 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2020-06-18_final
2020-07-01 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2020-07-01_final
2020-08-07 12:05:29	ga_s2bm_ard_3-2-1_50JKQ_2020-08-07_final
2020-10-10 11:46:26	ga_s2bm_ard_3-2-1_50JNL_2020-10-10_final
2020-10-10 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2020-10-10_final
2020-10-23 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2020-10-23_final
2020-10-26 12:05:55	ga_s2bm_ard_3-2-1_50JLN_2020-10-26_final
2020-11-15 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2020-11-15_final
2020-12-09 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2020-12-09_final
2020-12-19 11:46:30	ga_s2bm_ard_3-2-1_50HPK_2020-12-19_final
2021-01-28 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2021-01-28_final
2021-02-07 11:45:38	ga_s2bm_ard_3-2-1_50JNP_2021-02-07_final
2021-02-27 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2021-02-27_final
2021-03-02 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2021-03-02_final
2021-03-02 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2021-03-02_final
2021-03-18 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2021-03-18_final
2021-04-24 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2021-04-24_final
2021-05-08 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2021-05-08_final
2021-06-20 11:56:05	ga_s2bm_ard_3-2-1_50JNM_2021-06-20_final
2021-06-26 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2021-06-26_final
2021-06-27 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2021-06-27_final
2021-07-04 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2021-07-04_final
2021-07-17 11:45:26	ga_s2bm_ard_3-2-1_50JNQ_2021-07-17_final
2021-09-18 11:56:18	ga_s2bm_ard_3-2-1_50JML_2021-09-18_final
2021-11-04 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-11-04_final
2021-11-20 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2021-11-20_final
2021-12-03 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2021-12-03_final
2022-01-03 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2022-01-03_final
2022-01-13 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2022-01-13_final
2022-01-16 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2022-01-16_final
2022-02-15 11:55:50	ga_s2bm_ard_3-2-1_50JLN_2022-02-15_final
2022-02-21 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2022-02-21_final
2022-03-30 12:04:54	ga_s2bm_ard_3-2-1_50JKS_2022-03-30_final
2022-04-22 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2022-04-22_final
2022-05-10 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2022-05-10_final
2022-05-26 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2022-05-26_final
2022-08-04 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2022-08-04_final
2022-08-14 11:56:07	ga_s2bm_ard_3-2-1_50JNM_2022-08-14_final
2022-08-21 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2022-08-21_final
2022-09-26 12:04:38	ga_s2bm_ard_3-2-1_50JLT_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
2022-11-15 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2022-11-15_final.stac-item
2022-12-15 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2022-12-15_final.stac-item
2023-01-05 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2023-01-05_final.stac-item
2023-01-14 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2023-01-14_final.stac-item
2023-01-21 11:56:23	ga_s2bm_ard_3-2-1_50JLL_2023-01-21_final.stac-item
2023-01-24 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2023-01-24_final.stac-item
2023-03-05 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2023-03-05_final.stac-item
2023-03-09 11:47:10	ga_s2bm_ard_3-2-1_50HNH_2023-03-09_final.stac-item
2023-04-17 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2023-04-17_final.stac-item
2023-05-11 11:56:20	ga_s2bm_ard_3-2-1_50JNL_2023-05-11_final.stac-item
2023-07-06 12:14:47	ga_s2bm_ard_3-2-1_49JGN_2023-07-06_final.stac-item
2023-07-16 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2023-07-16_final.stac-item
2023-07-16 12:15:16	ga_s2bm_ard_3-2-1_49JGL_2023-07-16_final.stac-item
2023-07-23 12:04:48	ga_s2bm_ard_3-2-1_50JKT_2023-07-23_final.stac-item
2023-07-27 11:46:00	ga_s2bm_ard_3-2-1_50JNN_2023-07-27_final.stac-item
2023-08-02 12:05:31	ga_s2bm_ard_3-2-1_50JKQ_2023-08-02_final.stac-item
2023-08-06 11:46:24	ga_s2bm_ard_3-2-1_50JPL_2023-08-06_final.stac-item
2023-08-09 11:56:27	ga_s2bm_ard_3-2-1_50JML_2023-08-09_final.stac-item
2023-09-08 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2023-09-08_final.stac-item
2023-10-21 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2023-10-21_final.stac-item
2023-11-14 11:46:26	ga_s2bm_ard_3-2-1_50JML_2023-11-14_final.stac-item
2023-12-03 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2023-12-03_final.stac-item
2023-12-11 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2023-12-11_final.stac-item
2024-03-16 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2024-03-16_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