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
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_50JKT_2017-07-04_final.stac-item
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_50KLC_2017-07-04_final
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_51HUD_2017-09-03_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50JKP_2017-11-21_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JMN_2017-11-28_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HQJ_2018-01-14_final
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49KGQ_2018-02-22_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JKN_2018-04-17_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50KKU_2018-04-20_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51HUD_2018-05-18_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50HMK_2018-06-03_final
2018-06-26 11:47:27	ga_s2bm_ard_3-2-1_50KNC_2018-06-26_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51HVE_2018-07-10_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50JNP_2018-07-13_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50KQV_2018-07-26_final
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51HUD_2018-07-27_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49KGP_2018-08-21_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50KNC_2018-08-25_final
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HPG_2018-09-01_final.stac-item
2018-09-15 11:21:46	ga_s2bm_ard_3-2-1_51HVE_2018-09-15_final
2018-09-15 11:21:46	ga_s2bm_ard_3-2-1_51HXD_2018-09-15_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_49JGL_2018-09-27_final
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49KGR_2018-09-30_final
2018-11-23 11:56:19	ga_s2bm_ard_3-2-1_50JML_2018-11-23_final
2018-12-26 12:03:55	ga_s2bm_ard_3-2-1_50KKA_2018-12-26_final
2019-02-27 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2019-02-27_final
2019-08-04 11:37:10	ga_s2bm_ard_3-2-1_50HQH_2019-08-04_final
2019-08-11 11:26:54	ga_s2bm_ard_3-2-1_51HUD_2019-08-11_final
2019-08-13 12:04:55	ga_s2bm_ard_3-2-1_50JMS_2019-08-13_final
2019-09-06 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2019-09-06_final
2019-09-09 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2019-09-09_final
2019-09-19 11:54:54	ga_s2bm_ard_3-2-1_50JMS_2019-09-19_final
2019-09-23 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2019-09-23_final
2019-10-27 11:17:00	ga_s2bm_ard_3-2-1_51HWC_2019-10-27_final.stac-item
2019-10-29 11:53:25	ga_s2bm_ard_3-2-1_50KNC_2019-10-29_final
2019-11-18 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2019-11-18_final
2019-11-19 11:26:52	ga_s2bm_ard_3-2-1_51HWC_2019-11-19_final.stac-item
2019-11-22 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2019-11-22_final
2019-12-05 11:46:37	ga_s2bm_ard_3-2-1_50HQJ_2019-12-05_final
2020-02-06 11:55:53	ga_s2bm_ard_3-2-1_50JKN_2020-02-06_final
2020-02-09 12:05:32	ga_s2bm_ard_3-2-1_50JLP_2020-02-09_final
2020-02-19 12:05:47	ga_s2bm_ard_3-2-1_50JLN_2020-02-19_final
2020-02-22 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2020-02-22_final
2020-03-07 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2020-03-07_final.stac-item
2020-03-14 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2020-03-14_final.stac-item
2020-03-17 11:55:47	ga_s2bm_ard_3-2-1_50JNN_2020-03-17_final
2020-05-24 11:16:41	ga_s2bm_ard_3-2-1_51HXD_2020-05-24_final
2020-06-02 11:43:35	ga_s2bm_ard_3-2-1_50KRB_2020-06-02_final
2020-09-23 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2020-09-23_final.stac-item
2020-09-26 12:04:16	ga_s2bm_ard_3-2-1_50KKV_2020-09-26_final
2020-09-29 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-09-29_final
2020-10-14 11:27:03	ga_s2bm_ard_3-2-1_51HWC_2020-10-14_final.stac-item
2020-10-23 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2020-10-23_final
2020-11-12 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2020-11-12_final
2020-11-13 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2020-11-13_final.stac-item
2021-01-04 12:03:40	ga_s2bm_ard_3-2-1_50KLB_2021-01-04_final
2021-05-21 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2021-05-21_final
2021-07-03 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2021-07-03_final
2021-07-17 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2021-07-17_final
2021-07-27 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2021-07-27_final
2021-08-19 11:56:04	ga_s2bm_ard_3-2-1_50JNM_2021-08-19_final
2021-10-08 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2021-10-08_final
2021-10-11 12:03:42	ga_s2bm_ard_3-2-1_50KLB_2021-10-11_final
2021-10-28 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2021-10-28_final
2021-11-23 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2021-11-23_final
2021-12-20 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2021-12-20_final
2021-12-27 11:56:06	ga_s2bm_ard_3-2-1_50JLM_2021-12-27_final
2022-01-29 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2022-01-29_final
2022-04-10 11:36:25	ga_s2bm_ard_3-2-1_51HUE_2022-04-10_final
2022-04-26 11:55:53	ga_s2bm_ard_3-2-1_50JKN_2022-04-26_final
2022-06-22 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2022-06-22_final
2022-07-22 11:45:29	ga_s2bm_ard_3-2-1_50JNQ_2022-07-22_final
2022-09-16 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2022-09-16_final.stac-item
2023-01-17 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2023-01-17_final.stac-item
2023-03-22 11:55:59	ga_s2bm_ard_3-2-1_50JLN_2023-03-22_final.stac-item
2023-04-01 11:55:06	ga_s2bm_ard_3-2-1_50JPR_2023-04-01_final.stac-item
2023-04-28 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2023-04-28_final.stac-item
2023-05-08 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-05-08_final.stac-item
2023-05-21 11:53:35	ga_s2bm_ard_3-2-1_50KMC_2023-05-21_final.stac-item
2023-05-25 11:36:31	ga_s2bm_ard_3-2-1_50JPL_2023-05-25_final.stac-item
2023-06-03 12:04:46	ga_s2bm_ard_3-2-1_50JKT_2023-06-03_final.stac-item
2023-06-03 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-06-03_final.stac-item
2023-06-16 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2023-06-16_final.stac-item
2023-06-27 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2023-06-27_final.stac-item
2023-07-04 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2023-07-04_final.stac-item
2023-07-13 12:03:42	ga_s2bm_ard_3-2-1_50KMB_2023-07-13_final.stac-item
2023-07-21 11:27:04	ga_s2bm_ard_3-2-1_51HVC_2023-07-21_final.stac-item
2023-07-21 11:27:08	ga_s2bm_ard_3-2-1_51HUC_2023-07-21_final.stac-item
2023-07-30 11:53:30	ga_s2bm_ard_3-2-1_50KNC_2023-07-30_final.stac-item
2023-08-09 11:52:25	ga_s2bm_ard_3-2-1_50KQG_2023-08-09_final.stac-item
2023-08-22 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2023-08-22_final.stac-item
2023-09-01 12:04:29	ga_s2bm_ard_3-2-1_50KLU_2023-09-01_final.stac-item
2023-12-20 12:06:10	ga_s2bm_ard_3-2-1_50JKM_2023-12-20_final.stac-item
2023-12-31 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2023-12-31_final.stac-item
2024-01-13 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2024-01-13_final.stac-item
2024-01-23 11:44:44	ga_s2bm_ard_3-2-1_50JRS_2024-01-23_final.stac-item
2024-02-09 11:35:50	ga_s2bm_ard_3-2-1_50JQN_2024-02-09_final.stac-item
2024-02-18 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2024-02-18_final.stac-item
2024-04-15 11:53:32	ga_s2bm_ard_3-2-1_50KMC_2024-04-15_final.stac-item
2024-04-28 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2024-04-28_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