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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HMG_2017-08-27_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50JKS_2017-09-02_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HNK_2017-09-16_final
2017-10-05 12:13:31	ga_s2bm_ard_3-2-1_49KGP_2017-10-05_final
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KGP_2017-12-14_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49JGK_2018-01-30_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50JLN_2018-02-09_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50JLM_2018-03-11_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JLN_2018-03-21_final
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KHR_2018-03-24_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HQJ_2018-04-04_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JLS_2018-04-27_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HMG_2018-05-04_final.stac-item
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KGP_2018-05-10_final
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HNG_2018-06-03_final.stac-item
2018-07-02 12:13:20	ga_s2bm_ard_3-2-1_49KGP_2018-07-02_final
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_50JKS_2018-08-08_final
2018-08-11 12:13:16	ga_s2bm_ard_3-2-1_49JGN_2018-08-11_final
2018-08-15 11:43:38	ga_s2bm_ard_3-2-1_50JMT_2018-08-15_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50JMM_2018-08-22_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JLL_2018-08-25_final
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49JGL_2018-09-10_final
2018-12-10 11:46:07	ga_s2bm_ard_3-2-1_50JMM_2018-12-10_final
2019-01-26 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2019-01-26_final
2019-01-29 11:46:26	ga_s2bm_ard_3-2-1_50JML_2019-01-29_final
2019-01-29 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2019-01-29_final
2019-02-11 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2019-02-11_final
2019-02-11 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2019-02-11_final
2019-02-24 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2019-02-24_final
2019-03-03 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2019-03-03_final
2019-04-08 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2019-04-08_final
2019-06-14 12:04:38	ga_s2bm_ard_3-2-1_49KGP_2019-06-14_final
2019-08-13 12:05:29	ga_s2bm_ard_3-2-1_50JLQ_2019-08-13_final
2019-08-17 11:47:24	ga_s2bm_ard_3-2-1_50HLH_2019-08-17_final
2019-10-02 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2019-10-02_final
2019-12-01 12:04:34	ga_s2bm_ard_3-2-1_50JLT_2019-12-01_final
2019-12-01 12:04:37	ga_s2bm_ard_3-2-1_50JKT_2019-12-01_final
2019-12-04 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2019-12-04_final
2019-12-08 11:55:41	ga_s2bm_ard_3-2-1_50JKP_2019-12-08_final
2019-12-08 11:57:00	ga_s2bm_ard_3-2-1_50HMH_2019-12-08_final
2019-12-25 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2019-12-25_final
2019-12-31 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2019-12-31_final
2020-02-03 11:46:31	ga_s2bm_ard_3-2-1_50HNK_2020-02-03_final
2020-03-04 11:47:14	ga_s2bm_ard_3-2-1_50HPG_2020-03-04_final.stac-item
2020-03-27 11:56:06	ga_s2bm_ard_3-2-1_50JLM_2020-03-27_final
2020-05-03 11:46:23	ga_s2bm_ard_3-2-1_50JML_2020-05-03_final
2020-05-19 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2020-05-19_final
2020-05-23 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2020-05-23_final
2020-05-23 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2020-05-23_final
2020-06-21 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2020-06-21_final
2020-06-25 11:56:25	ga_s2bm_ard_3-2-1_50JML_2020-06-25_final
2020-07-08 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-07-08_final
2020-07-11 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2020-07-11_final
2020-07-15 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2020-07-15_final
2020-07-22 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2020-07-22_final
2020-08-01 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2020-08-01_final.stac-item
2020-08-14 11:56:00	ga_s2bm_ard_3-2-1_50JLN_2020-08-14_final
2020-08-20 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2020-08-20_final
2020-08-28 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2020-08-28_final
2020-09-03 11:55:49	ga_s2bm_ard_3-2-1_50JKP_2020-09-03_final
2020-12-19 11:46:25	ga_s2bm_ard_3-2-1_50JML_2020-12-19_final
2020-12-29 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2020-12-29_final.stac-item
2021-01-01 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2021-01-01_final
2021-01-08 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2021-01-08_final
2021-01-24 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2021-01-24_final
2021-02-20 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2021-02-20_final.stac-item
2021-03-02 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2021-03-02_final
2021-03-09 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2021-03-09_final
2021-05-11 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2021-05-11_final
2021-05-24 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2021-05-24_final
2021-06-10 11:54:41	ga_s2bm_ard_3-2-1_50JMT_2021-06-10_final
2021-11-27 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2021-11-27_final
2022-01-12 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2022-01-12_final
2022-01-13 11:46:30	ga_s2bm_ard_3-2-1_50HPK_2022-01-13_final
2022-02-08 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2022-02-08_final
2022-03-14 11:46:24	ga_s2bm_ard_3-2-1_50JML_2022-03-14_final
2022-06-01 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2022-06-01_final
2022-07-08 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2022-07-08_final
2022-09-27 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2022-09-27_final.stac-item
2023-01-05 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2023-01-05_final.stac-item
2023-02-07 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2023-02-07_final.stac-item
2023-03-09 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2023-03-09_final.stac-item
2023-04-21 11:56:10	ga_s2bm_ard_3-2-1_50JMM_2023-04-21_final.stac-item
2023-04-27 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2023-04-27_final.stac-item
2023-05-15 11:36:38	ga_s2bm_ard_3-2-1_50HQK_2023-05-15_final.stac-item
2023-05-18 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2023-05-18_final.stac-item
2023-05-28 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2023-05-28_final.stac-item
2023-06-30 11:56:14	ga_s2bm_ard_3-2-1_50JMM_2023-06-30_final.stac-item
2023-07-17 11:46:46	ga_s2bm_ard_3-2-1_50HMK_2023-07-17_final.stac-item
2023-09-08 11:55:50	ga_s2bm_ard_3-2-1_50JKP_2023-09-08_final.stac-item
2023-10-04 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2023-10-04_final.stac-item
2023-10-15 11:46:36	ga_s2bm_ard_3-2-1_50HPK_2023-10-15_final.stac-item
2023-10-25 11:46:27	ga_s2bm_ard_3-2-1_50JML_2023-10-25_final.stac-item
2023-11-10 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2023-11-10_final.stac-item
2023-12-01 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2023-12-01_final.stac-item
2024-01-26 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2024-01-26_final.stac-item
2024-02-12 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2024-02-12_final.stac-item
2024-02-25 11:54:44	ga_s2bm_ard_3-2-1_50JLT_2024-02-25_final.stac-item
2024-03-16 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2024-03-16_final.stac-item
2024-03-16 11:57:08	ga_s2bm_ard_3-2-1_50HLH_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