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
2017-07-17 12:14:11	ga_s2bm_ard_3-2-1_49JGN_2017-07-17_final
2017-10-13 11:36:25	ga_s2bm_ard_3-2-1_50HPG_2017-10-13_final.stac-item
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50JLM_2017-10-19_final
2017-11-22 11:35:56	ga_s2bm_ard_3-2-1_50HQJ_2017-11-22_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50JKM_2017-12-28_final
2018-01-03 12:13:12	ga_s2bm_ard_3-2-1_49KGR_2018-01-03_final
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49KGR_2018-01-13_final
2018-01-21 11:35:57	ga_s2bm_ard_3-2-1_50HQJ_2018-01-21_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HPG_2018-01-24_final.stac-item
2018-01-27 11:56:04	ga_s2bm_ard_3-2-1_50JLL_2018-01-27_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49JGK_2018-01-30_final
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49KGQ_2018-03-04_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50HQK_2018-04-11_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49KGR_2018-04-13_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JLN_2018-04-20_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_50JLM_2018-07-19_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50HLK_2018-07-26_final
2018-11-26 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2018-11-26_final
2018-12-20 11:46:47	ga_s2bm_ard_3-2-1_50HNJ_2018-12-20_final
2018-12-30 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2018-12-30_final
2019-01-02 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2019-01-02_final
2019-01-18 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2019-01-18_final
2019-02-28 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2019-02-28_final
2019-03-03 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2019-03-03_final
2019-03-29 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2019-03-29_final
2019-03-30 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2019-03-30_final
2019-04-28 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2019-04-28_final
2019-07-21 11:55:55	ga_s2bm_ard_3-2-1_50JKP_2019-07-21_final
2019-08-26 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2019-08-26_final
2019-09-05 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2019-09-05_final
2019-09-25 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2019-09-25_final
2019-09-29 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2019-09-29_final
2019-10-15 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2019-10-15_final
2019-10-23 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2019-10-23_final
2019-11-01 12:05:12	ga_s2bm_ard_3-2-1_50JKR_2019-11-01_final
2019-11-04 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2019-11-04_final
2019-11-11 12:04:56	ga_s2bm_ard_3-2-1_50JKS_2019-11-11_final
2019-12-01 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2019-12-01_final
2019-12-05 11:47:00	ga_s2bm_ard_3-2-1_50HNH_2019-12-05_final
2020-01-11 11:36:46	ga_s2bm_ard_3-2-1_50HPJ_2020-01-11_final
2020-01-14 11:46:46	ga_s2bm_ard_3-2-1_50HNJ_2020-01-14_final
2020-03-04 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2020-03-04_final
2020-03-20 12:04:40	ga_s2bm_ard_3-2-1_50JKT_2020-03-20_final
2020-03-27 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2020-03-27_final
2020-03-30 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2020-03-30_final
2020-05-19 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2020-05-19_final
2020-05-26 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2020-05-26_final
2020-06-15 11:55:49	ga_s2bm_ard_3-2-1_50JKP_2020-06-15_final
2020-06-25 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2020-06-25_final
2020-06-25 11:57:23	ga_s2bm_ard_3-2-1_50HMG_2020-06-25_final.stac-item
2020-07-22 11:46:51	ga_s2bm_ard_3-2-1_50HQJ_2020-07-22_final
2020-09-29 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2020-09-29_final
2020-11-05 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2020-11-05_final
2021-02-26 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-02-26_final
2021-03-19 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2021-03-19_final
2021-04-21 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2021-04-21_final
2021-05-11 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2021-05-11_final
2021-05-14 12:04:20	ga_s2bm_ard_3-2-1_49KHQ_2021-05-14_final
2021-06-23 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2021-06-23_final
2021-06-26 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2021-06-26_final
2021-07-03 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2021-07-03_final
2021-08-02 12:04:49	ga_s2bm_ard_3-2-1_50JKT_2021-08-02_final
2021-08-22 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2021-08-22_final.stac-item
2021-12-23 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2021-12-23_final
2021-12-24 11:46:36	ga_s2bm_ard_3-2-1_50HMK_2021-12-24_final
2022-01-13 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2022-01-13_final
2022-01-26 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2022-01-26_final
2022-02-05 11:55:36	ga_s2bm_ard_3-2-1_50JLP_2022-02-05_final
2022-02-11 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2022-02-11_final
2022-02-25 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2022-02-25_final
2022-03-17 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2022-03-17_final
2022-07-25 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2022-07-25_final
2022-07-25 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2022-07-25_final
2022-08-14 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2022-08-14_final
2022-10-20 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2022-10-20_final.stac-item
2022-11-05 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2022-11-05_final.stac-item
2023-01-04 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2023-01-04_final.stac-item
2023-01-21 11:56:23	ga_s2bm_ard_3-2-1_50JLL_2023-01-21_final.stac-item
2023-01-21 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2023-01-21_final.stac-item
2023-01-31 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2023-01-31_final.stac-item
2023-02-03 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2023-02-03_final.stac-item
2023-02-10 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2023-02-10_final.stac-item
2023-05-04 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2023-05-04_final.stac-item
2023-05-14 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2023-05-14_final.stac-item
2023-06-07 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2023-06-07_final.stac-item
2023-07-20 11:56:42	ga_s2bm_ard_3-2-1_50HMK_2023-07-20_final.stac-item
2023-08-05 12:15:04	ga_s2bm_ard_3-2-1_49JFM_2023-08-05_final.stac-item
2023-10-14 12:15:02	ga_s2bm_ard_3-2-1_49JFM_2023-10-14_final.stac-item
2023-10-31 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-10-31_final.stac-item
2023-11-10 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-11-10_final.stac-item
2023-11-24 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2023-11-24_final.stac-item
2023-12-24 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2023-12-24_final.stac-item
2024-01-09 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2024-01-09_final.stac-item
2024-02-09 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2024-02-09_final.stac-item
2024-02-28 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2024-02-28_final.stac-item
2024-02-29 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2024-02-29_final.stac-item
2024-03-06 11:55:42	ga_s2bm_ard_3-2-1_50JKP_2024-03-06_final.stac-item
2024-03-09 12:05:07	ga_s2bm_ard_3-2-1_50JKR_2024-03-09_final.stac-item
2024-03-10 11:36:29	ga_s2bm_ard_3-2-1_50HQK_2024-03-10_final.stac-item
2024-04-08 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2024-04-08_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