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_50JML_2017-07-01_final
2017-07-14 12:03:48	ga_s2bm_ard_3-2-1_49KHR_2017-07-14_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_50HPJ_2017-10-13_final
2017-10-22 12:04:28	ga_s2bm_ard_3-2-1_49JGL_2017-10-22_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_50JKQ_2018-01-30_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JLP_2018-03-31_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JLT_2018-04-20_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50JML_2018-05-24_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50JML_2018-07-23_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HMJ_2018-08-02_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HLH_2018-08-22_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50HLH_2018-08-25_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JLT_2018-09-04_final
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49KHQ_2018-09-30_final
2019-01-09 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2019-01-09_final
2019-01-19 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2019-01-19_final
2019-02-07 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2019-02-07_final
2019-03-27 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2019-03-27_final
2019-03-30 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2019-03-30_final.stac-item
2019-05-15 12:05:38	ga_s2bm_ard_3-2-1_49JGK_2019-05-15_final
2019-05-25 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-05-25_final.stac-item
2019-06-14 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2019-06-14_final
2019-07-17 12:15:05	ga_s2bm_ard_3-2-1_49JGM_2019-07-17_final
2019-08-26 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2019-08-26_final
2019-08-27 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2019-08-27_final
2019-09-03 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2019-09-03_final.stac-item
2019-11-02 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2019-11-02_final.stac-item
2019-11-08 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2019-11-08_final
2019-11-08 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2019-11-08_final
2019-11-28 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2019-11-28_final
2020-01-01 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2020-01-01_final.stac-item
2020-01-10 12:06:04	ga_s2bm_ard_3-2-1_50JKM_2020-01-10_final
2020-02-13 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2020-02-13_final
2020-02-23 11:46:23	ga_s2bm_ard_3-2-1_50JML_2020-02-23_final
2020-03-04 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2020-03-04_final
2020-04-22 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2020-04-22_final
2020-04-29 12:04:38	ga_s2bm_ard_3-2-1_50JKT_2020-04-29_final
2020-05-03 11:46:34	ga_s2bm_ard_3-2-1_50HNK_2020-05-03_final
2020-05-10 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2020-05-10_final
2020-05-12 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2020-05-12_final
2020-06-02 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2020-06-02_final
2020-10-06 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-10-06_final
2020-10-20 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2020-10-20_final.stac-item
2020-11-05 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-11-05_final
2020-11-19 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2020-11-19_final
2020-11-19 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2020-11-19_final.stac-item
2020-12-19 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2020-12-19_final.stac-item
2020-12-25 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2020-12-25_final
2021-01-01 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2021-01-01_final.stac-item
2021-01-31 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2021-01-31_final
2021-02-27 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2021-02-27_final
2021-03-02 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2021-03-02_final
2021-03-18 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2021-03-18_final
2021-03-19 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2021-03-19_final.stac-item
2021-03-29 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2021-03-29_final.stac-item
2021-04-01 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2021-04-01_final
2021-04-25 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2021-04-25_final.stac-item
2021-05-24 12:04:57	ga_s2bm_ard_3-2-1_50JKS_2021-05-24_final
2021-06-07 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2021-06-07_final
2021-06-23 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2021-06-23_final
2021-09-04 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2021-09-04_final
2021-09-14 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2021-09-14_final
2021-10-04 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-10-04_final
2021-10-08 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2021-10-08_final
2021-10-08 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2021-10-08_final
2021-11-03 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2021-11-03_final
2021-11-10 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-11-10_final
2021-11-20 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2021-11-20_final
2022-02-01 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2022-02-01_final
2022-02-12 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2022-02-12_final
2022-05-23 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2022-05-23_final
2022-06-15 11:56:14	ga_s2bm_ard_3-2-1_50JLM_2022-06-15_final
2022-06-15 11:56:26	ga_s2bm_ard_3-2-1_50JML_2022-06-15_final
2022-06-28 12:05:46	ga_s2bm_ard_3-2-1_50JKP_2022-06-28_final
2022-07-11 12:15:15	ga_s2bm_ard_3-2-1_49JGL_2022-07-11_final
2022-08-11 11:46:30	ga_s2bm_ard_3-2-1_50JML_2022-08-11_final
2022-08-17 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2022-08-17_final.stac-item
2022-08-24 11:56:11	ga_s2bm_ard_3-2-1_50JLM_2022-08-24_final
2022-08-24 11:56:23	ga_s2bm_ard_3-2-1_50JML_2022-08-24_final
2022-08-31 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2022-08-31_final
2022-09-10 11:46:32	ga_s2bm_ard_3-2-1_50HQK_2022-09-10_final.stac-item
2022-09-17 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2022-09-17_final.stac-item
2022-11-28 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2022-11-28_final.stac-item
2022-12-05 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2022-12-05_final.stac-item
2022-12-25 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2022-12-25_final.stac-item
2023-01-05 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2023-01-05_final.stac-item
2023-02-13 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2023-02-13_final.stac-item
2023-02-17 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2023-02-17_final.stac-item
2023-03-22 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2023-03-22_final.stac-item
2023-04-21 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2023-04-21_final.stac-item
2023-04-27 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2023-04-27_final.stac-item
2023-05-21 11:56:27	ga_s2bm_ard_3-2-1_50JML_2023-05-21_final.stac-item
2023-06-14 11:36:39	ga_s2bm_ard_3-2-1_50HQK_2023-06-14_final.stac-item
2023-10-21 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2023-10-21_final.stac-item
2023-11-07 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2023-11-07_final.stac-item
2023-12-07 11:56:08	ga_s2bm_ard_3-2-1_50JLM_2023-12-07_final.stac-item
2023-12-13 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2023-12-13_final.stac-item
2024-02-28 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2024-02-28_final.stac-item
2024-04-12 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2024-04-12_final.stac-item
2024-04-15 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2024-04-15_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