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
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50KPU_2017-09-16_final
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_49JGL_2017-10-02_final
2017-10-13 11:36:25	ga_s2bm_ard_3-2-1_51HTD_2017-10-13_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HNH_2017-11-15_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JLN_2017-11-18_final
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HPJ_2017-12-05_final
2017-12-18 11:55:59	ga_s2bm_ard_3-2-1_50HLK_2017-12-18_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49JHN_2017-12-31_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50JRS_2018-01-14_final
2018-05-28 11:26:26	ga_s2bm_ard_3-2-1_51HUC_2018-05-28_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_50HPJ_2018-05-31_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JGJ_2018-08-18_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50KNC_2018-09-04_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_50JKQ_2018-09-27_final
2018-12-06 12:03:14	ga_s2bm_ard_3-2-1_50KNC_2018-12-06_final
2018-12-20 11:45:49	ga_s2bm_ard_3-2-1_50JNN_2018-12-20_final
2018-12-23 11:55:11	ga_s2bm_ard_3-2-1_50JPQ_2018-12-23_final
2018-12-30 11:47:14	ga_s2bm_ard_3-2-1_50HPG_2018-12-30_final.stac-item
2019-01-25 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2019-01-25_final
2019-03-17 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2019-03-17_final
2019-05-26 11:37:15	ga_s2bm_ard_3-2-1_50HPH_2019-05-26_final
2019-06-25 11:37:06	ga_s2bm_ard_3-2-1_51HUC_2019-06-25_final
2019-07-28 11:46:42	ga_s2bm_ard_3-2-1_50HPK_2019-07-28_final
2019-07-28 11:47:01	ga_s2bm_ard_3-2-1_50HNJ_2019-07-28_final
2019-08-03 12:05:37	ga_s2bm_ard_3-2-1_49JGK_2019-08-03_final
2019-08-23 12:03:28	ga_s2bm_ard_3-2-1_50KMC_2019-08-23_final
2019-08-27 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2019-08-27_final.stac-item
2019-10-05 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2019-10-05_final
2019-11-11 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2019-11-11_final
2019-11-18 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2019-11-18_final
2019-11-22 11:36:58	ga_s2bm_ard_3-2-1_51HTC_2019-11-22_final
2020-01-13 12:13:48	ga_s2bm_ard_3-2-1_50KKA_2020-01-13_final
2020-01-21 11:36:20	ga_s2bm_ard_3-2-1_50JPL_2020-01-21_final
2020-02-06 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2020-02-06_final
2020-02-26 11:57:20	ga_s2bm_ard_3-2-1_50HLG_2020-02-26_final.stac-item
2020-04-10 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2020-04-10_final
2020-04-26 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2020-04-26_final
2020-04-29 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2020-04-29_final
2020-05-19 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2020-05-19_final
2020-05-26 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2020-05-26_final
2020-06-29 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2020-06-29_final.stac-item
2020-07-02 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2020-07-02_final
2020-07-15 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2020-07-15_final
2020-08-04 11:56:25	ga_s2bm_ard_3-2-1_50JML_2020-08-04_final
2020-08-10 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2020-08-10_final
2020-09-07 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2020-09-07_final
2020-09-17 11:36:07	ga_s2bm_ard_3-2-1_50JQM_2020-09-17_final
2020-09-27 11:36:34	ga_s2bm_ard_3-2-1_51HTE_2020-09-27_final
2020-09-30 11:43:21	ga_s2bm_ard_3-2-1_50KRC_2020-09-30_final
2021-01-01 11:53:23	ga_s2bm_ard_3-2-1_50KNC_2021-01-01_final
2021-01-31 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2021-01-31_final
2021-02-14 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2021-02-14_final
2021-02-16 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2021-02-16_final
2021-03-06 11:36:19	ga_s2bm_ard_3-2-1_50JQL_2021-03-06_final
2021-03-12 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2021-03-12_final
2021-03-26 11:36:45	ga_s2bm_ard_3-2-1_51HTD_2021-03-26_final
2021-04-21 11:53:33	ga_s2bm_ard_3-2-1_50KNB_2021-04-21_final
2021-05-18 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2021-05-18_final
2021-05-25 11:34:37	ga_s2bm_ard_3-2-1_50JRT_2021-05-25_final
2021-06-07 11:43:20	ga_s2bm_ard_3-2-1_50KQC_2021-06-07_final
2021-09-04 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2021-09-04_final
2021-09-05 11:46:26	ga_s2bm_ard_3-2-1_50HQK_2021-09-05_final
2021-10-21 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2021-10-21_final
2021-11-14 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2021-11-14_final
2022-01-10 11:36:44	ga_s2bm_ard_3-2-1_50HQJ_2022-01-10_final
2022-02-21 12:13:49	ga_s2bm_ard_3-2-1_50KKA_2022-02-21_final
2022-03-04 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2022-03-04_final
2022-03-10 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2022-03-10_final
2022-04-02 12:13:51	ga_s2bm_ard_3-2-1_50KKA_2022-04-02_final
2022-04-10 11:36:31	ga_s2bm_ard_3-2-1_50HQK_2022-04-10_final
2022-05-20 11:35:50	ga_s2bm_ard_3-2-1_50JQN_2022-05-20_final
2022-06-26 11:26:52	ga_s2bm_ard_3-2-1_51HUD_2022-06-26_final
2022-07-12 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2022-07-12_final
2022-07-25 11:56:56	ga_s2bm_ard_3-2-1_50HMJ_2022-07-25_final
2022-07-28 12:04:33	ga_s2bm_ard_3-2-1_50KKU_2022-07-28_final
2022-08-10 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2022-08-10_final
2022-11-09 11:43:21	ga_s2bm_ard_3-2-1_50KQC_2022-11-09_final.stac-item
2022-11-09 11:46:22	ga_s2bm_ard_3-2-1_50JNL_2022-11-09_final.stac-item
2022-12-15 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2022-12-15_final.stac-item
2023-01-01 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-01-01_final.stac-item
2023-01-21 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2023-01-21_final.stac-item
2023-02-07 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2023-02-07_final.stac-item
2023-02-27 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2023-02-27_final.stac-item
2023-03-16 11:36:56	ga_s2bm_ard_3-2-1_50HPJ_2023-03-16_final.stac-item
2023-03-25 12:03:26	ga_s2bm_ard_3-2-1_50KMC_2023-03-25_final.stac-item
2023-04-05 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2023-04-05_final.stac-item
2023-04-18 11:44:03	ga_s2bm_ard_3-2-1_50KRV_2023-04-18_final.stac-item
2023-06-06 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2023-06-06_final.stac-item
2023-06-23 12:05:45	ga_s2bm_ard_3-2-1_50JKP_2023-06-23_final.stac-item
2023-07-10 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2023-07-10_final.stac-item
2023-10-11 12:04:31	ga_s2bm_ard_3-2-1_50KLU_2023-10-11_final.stac-item
2023-10-28 11:57:10	ga_s2bm_ard_3-2-1_50HMH_2023-10-28_final.stac-item
2023-12-13 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2023-12-13_final.stac-item
2024-01-09 12:03:40	ga_s2bm_ard_3-2-1_50KLB_2024-01-09_final.stac-item
2024-01-13 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2024-01-13_final.stac-item
2024-01-29 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2024-01-29_final.stac-item
2024-02-08 12:03:41	ga_s2bm_ard_3-2-1_50KLB_2024-02-08_final.stac-item
2024-03-03 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2024-03-03_final.stac-item
2024-03-19 12:04:10	ga_s2bm_ard_3-2-1_50KLV_2024-03-19_final.stac-item
2024-03-23 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_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