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
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_50JQL_2017-09-03_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50KNC_2017-09-29_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HMH_2017-10-26_final
2017-11-09 11:25:03	ga_s2bm_ard_3-2-1_51JUF_2017-11-09_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_50KMC_2018-01-30_final
2018-03-09 11:26:31	ga_s2bm_ard_3-2-1_51HUD_2018-03-09_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50KRD_2018-04-24_final
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_50JKM_2018-05-30_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_51HVE_2018-06-30_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49KGR_2018-08-21_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50KNC_2018-09-04_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50KQC_2018-09-04_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51JTF_2018-09-18_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_49JGL_2018-09-27_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50JLP_2018-11-03_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50JML_2018-11-03_final
2019-01-18 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2019-01-18_final
2019-01-25 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2019-01-25_final
2019-02-18 11:46:19	ga_s2bm_ard_3-2-1_50JPL_2019-02-18_final
2019-02-18 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2019-02-18_final.stac-item
2019-04-15 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2019-04-15_final
2019-04-26 11:35:52	ga_s2bm_ard_3-2-1_51JUH_2019-04-26_final
2019-06-25 11:37:06	ga_s2bm_ard_3-2-1_51HUC_2019-06-25_final
2019-07-31 11:53:32	ga_s2bm_ard_3-2-1_50KNC_2019-07-31_final
2019-08-07 11:46:59	ga_s2bm_ard_3-2-1_50HNJ_2019-08-07_final
2019-09-16 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2019-09-16_final
2019-10-12 12:05:13	ga_s2bm_ard_3-2-1_50JKR_2019-10-12_final
2019-10-29 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2019-10-29_final
2019-11-24 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2019-11-24_final
2019-12-14 12:13:49	ga_s2bm_ard_3-2-1_50KKA_2019-12-14_final
2019-12-15 11:44:25	ga_s2bm_ard_3-2-1_50JRT_2019-12-15_final
2019-12-18 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2019-12-18_final
2019-12-19 11:26:42	ga_s2bm_ard_3-2-1_51HUD_2019-12-19_final
2020-02-23 11:44:42	ga_s2bm_ard_3-2-1_51JTM_2020-02-23_final
2020-03-30 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2020-03-30_final
2020-05-06 11:56:05	ga_s2bm_ard_3-2-1_50JMM_2020-05-06_final
2020-05-24 11:16:41	ga_s2bm_ard_3-2-1_51HXD_2020-05-24_final
2020-05-26 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2020-05-26_final
2020-06-02 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2020-06-02_final
2020-07-08 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2020-07-08_final
2020-07-21 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2020-07-21_final
2020-08-27 12:05:47	ga_s2bm_ard_3-2-1_49JGJ_2020-08-27_final
2020-09-16 12:04:08	ga_s2bm_ard_3-2-1_49KHR_2020-09-16_final
2020-10-09 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2020-10-09_final
2020-12-12 11:56:19	ga_s2bm_ard_3-2-1_50JML_2020-12-12_final
2021-01-04 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2021-01-04_final
2021-01-31 11:56:11	ga_s2bm_ard_3-2-1_50JLM_2021-01-31_final
2021-03-02 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2021-03-02_final
2021-03-25 12:04:07	ga_s2bm_ard_3-2-1_49KHQ_2021-03-25_final
2021-04-05 11:36:24	ga_s2bm_ard_3-2-1_50JPL_2021-04-05_final
2021-04-17 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-04-17_final
2021-05-08 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2021-05-08_final
2021-06-17 11:43:52	ga_s2bm_ard_3-2-1_50KQA_2021-06-17_final
2021-08-10 11:25:04	ga_s2bm_ard_3-2-1_51JVL_2021-08-10_final
2021-10-16 11:16:45	ga_s2bm_ard_3-2-1_51HWD_2021-10-16_final
2021-10-21 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2021-10-21_final
2021-10-24 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2021-10-24_final
2021-11-11 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2021-11-11_final.stac-item
2021-11-14 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2021-11-14_final
2021-11-17 11:53:15	ga_s2bm_ard_3-2-1_50KQC_2021-11-17_final
2021-11-20 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2021-11-20_final
2021-11-27 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2021-11-27_final
2022-02-02 11:47:18	ga_s2bm_ard_3-2-1_50HMG_2022-02-02_final.stac-item
2022-02-25 11:53:26	ga_s2bm_ard_3-2-1_50KMC_2022-02-25_final
2022-03-20 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2022-03-20_final
2022-03-23 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2022-03-23_final
2022-04-09 12:03:56	ga_s2bm_ard_3-2-1_50KKA_2022-04-09_final
2022-04-29 12:04:34	ga_s2bm_ard_3-2-1_49JGN_2022-04-29_final
2022-06-18 12:04:32	ga_s2bm_ard_3-2-1_49KHP_2022-06-18_final
2022-06-22 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2022-06-22_final
2022-07-22 11:44:57	ga_s2bm_ard_3-2-1_50JPS_2022-07-22_final
2022-07-25 11:57:28	ga_s2bm_ard_3-2-1_50HLG_2022-07-25_final.stac-item
2022-08-14 11:52:37	ga_s2bm_ard_3-2-1_50KQF_2022-08-14_final.stac-item
2022-09-17 11:36:07	ga_s2bm_ard_3-2-1_50JQM_2022-09-17_final.stac-item
2022-10-29 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2022-10-29_final.stac-item
2022-11-05 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2022-11-05_final.stac-item
2022-11-06 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2022-11-06_final.stac-item
2022-11-16 11:35:41	ga_s2bm_ard_3-2-1_51JVH_2022-11-16_final.stac-item
2022-11-26 11:34:42	ga_s2bm_ard_3-2-1_51JVM_2022-11-26_final.stac-item
2022-12-08 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2022-12-08_final.stac-item
2023-01-12 11:26:14	ga_s2bm_ard_3-2-1_51JUF_2023-01-12_final.stac-item
2023-02-03 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2023-02-03_final.stac-item
2023-02-18 11:16:35	ga_s2bm_ard_3-2-1_51HYD_2023-02-18_final.stac-item
2023-03-03 11:25:58	ga_s2bm_ard_3-2-1_51JWG_2023-03-03_final.stac-item
2023-03-03 11:26:59	ga_s2bm_ard_3-2-1_51HVC_2023-03-03_final.stac-item
2023-03-25 12:03:26	ga_s2bm_ard_3-2-1_50KMC_2023-03-25_final.stac-item
2023-04-21 11:52:36	ga_s2bm_ard_3-2-1_50KQF_2023-04-21_final.stac-item
2023-05-11 11:52:36	ga_s2bm_ard_3-2-1_50KQF_2023-05-11_final.stac-item
2023-05-11 11:53:27	ga_s2bm_ard_3-2-1_50KNC_2023-05-11_final.stac-item
2023-05-18 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2023-05-18_final.stac-item
2023-06-07 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2023-06-07_final.stac-item
2023-07-13 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2023-07-13_final.stac-item
2023-07-27 11:43:10	ga_s2bm_ard_3-2-1_50KRD_2023-07-27_final.stac-item
2023-08-12 12:05:46	ga_s2bm_ard_3-2-1_50JKP_2023-08-12_final.stac-item
2023-09-29 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2023-09-29_final.stac-item
2023-12-07 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2023-12-07_final.stac-item
2023-12-14 11:44:14	ga_s2bm_ard_3-2-1_50KRU_2023-12-14_final.stac-item
2023-12-27 11:53:26	ga_s2bm_ard_3-2-1_50KNC_2023-12-27_final.stac-item
2024-01-26 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2024-01-26_final.stac-item
2024-03-23 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2024-03-23_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