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_50JLL_2017-07-01_final
2017-08-14 11:34:56	ga_s2bm_ard_3-2-1_50HQH_2017-08-14_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JNQ_2017-08-27_final
2017-08-27 11:47:17	ga_s2bm_ard_3-2-1_50HMG_2017-08-27_final.stac-item
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50JKN_2017-11-08_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_50KKB_2017-11-11_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50KPC_2017-12-28_final
2018-02-02 12:13:14	ga_s2bm_ard_3-2-1_49KHS_2018-02-02_final.stac-item
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HPJ_2018-04-04_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HPK_2018-04-14_final
2018-04-18 11:23:34	ga_s2bm_ard_3-2-1_51HUD_2018-04-18_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGM_2018-04-20_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HPK_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50KRD_2018-04-24_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49JGJ_2018-05-20_final
2018-05-28 11:26:26	ga_s2bm_ard_3-2-1_51HVC_2018-05-28_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49KGP_2018-06-19_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50JNM_2018-07-13_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50JNQ_2018-07-16_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_50KKB_2018-07-29_final
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JKN_2018-08-15_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50HLK_2018-09-04_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50JLL_2018-09-14_final
2018-11-23 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2018-11-23_final
2018-11-23 11:56:04	ga_s2bm_ard_3-2-1_50JMM_2018-11-23_final
2018-12-20 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2018-12-20_final.stac-item
2019-01-08 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2019-01-08_final
2019-01-19 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2019-01-19_final.stac-item
2019-02-21 11:53:35	ga_s2bm_ard_3-2-1_50KPB_2019-02-21_final
2019-04-02 11:55:30	ga_s2bm_ard_3-2-1_50JLQ_2019-04-02_final
2019-07-07 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-07-07_final
2019-08-11 11:27:09	ga_s2bm_ard_3-2-1_51HUC_2019-08-11_final
2019-09-19 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2019-09-19_final
2019-09-20 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2019-09-20_final
2019-10-06 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2019-10-06_final
2019-11-18 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2019-11-18_final
2019-11-22 11:36:44	ga_s2bm_ard_3-2-1_51HTD_2019-11-22_final
2019-12-21 12:03:18	ga_s2bm_ard_3-2-1_50KMC_2019-12-21_final
2019-12-25 11:43:17	ga_s2bm_ard_3-2-1_50KQC_2019-12-25_final
2019-12-25 11:46:03	ga_s2bm_ard_3-2-1_50JNM_2019-12-25_final
2019-12-25 11:46:08	ga_s2bm_ard_3-2-1_50JMM_2019-12-25_final
2020-01-03 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2020-01-03_final
2020-02-29 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2020-02-29_final
2020-08-07 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2020-08-07_final
2020-11-06 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2020-11-06_final
2020-11-08 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2020-11-08_final
2020-11-08 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2020-11-08_final
2020-12-18 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2020-12-18_final
2021-01-12 11:27:07	ga_s2bm_ard_3-2-1_51HTC_2021-01-12_final
2021-03-02 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-03-02_final
2021-03-05 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2021-03-05_final
2021-03-09 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2021-03-09_final
2021-05-08 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2021-05-08_final
2021-05-14 12:04:20	ga_s2bm_ard_3-2-1_49KHP_2021-05-14_final
2021-05-25 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2021-05-25_final
2021-06-30 11:55:17	ga_s2bm_ard_3-2-1_50JPQ_2021-06-30_final
2021-07-01 11:26:59	ga_s2bm_ard_3-2-1_51HVC_2021-07-01_final
2021-07-01 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2021-07-01_final
2021-07-17 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2021-07-17_final
2021-07-24 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2021-07-24_final
2021-08-15 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2021-08-15_final
2021-08-22 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2021-08-22_final.stac-item
2021-08-22 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2021-08-22_final
2021-09-15 11:46:33	ga_s2bm_ard_3-2-1_50HNK_2021-09-15_final
2021-10-08 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2021-10-08_final
2021-12-08 11:26:54	ga_s2bm_ard_3-2-1_51HUC_2021-12-08_final
2021-12-17 11:56:05	ga_s2bm_ard_3-2-1_50JLM_2021-12-17_final
2021-12-21 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2021-12-21_final.stac-item
2022-01-09 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2022-01-09_final
2022-02-05 11:52:28	ga_s2bm_ard_3-2-1_50KQF_2022-02-05_final.stac-item
2022-02-15 11:52:13	ga_s2bm_ard_3-2-1_50KQG_2022-02-15_final.stac-item
2022-02-22 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2022-02-22_final
2022-05-10 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2022-05-10_final
2022-05-29 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2022-05-29_final
2022-07-03 11:16:49	ga_s2bm_ard_3-2-1_51HWD_2022-07-03_final
2022-09-19 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2022-09-19_final.stac-item
2022-10-09 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2022-10-09_final.stac-item
2022-11-25 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2022-11-25_final.stac-item
2022-11-29 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2022-11-29_final.stac-item
2023-01-04 12:03:39	ga_s2bm_ard_3-2-1_50KLB_2023-01-04_final.stac-item
2023-01-11 11:53:13	ga_s2bm_ard_3-2-1_50KQC_2023-01-11_final.stac-item
2023-01-21 11:53:54	ga_s2bm_ard_3-2-1_50KMA_2023-01-21_final.stac-item
2023-05-24 12:04:18	ga_s2bm_ard_3-2-1_50KKV_2023-05-24_final.stac-item
2023-06-07 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2023-06-07_final.stac-item
2023-06-14 11:37:06	ga_s2bm_ard_3-2-1_51HTC_2023-06-14_final.stac-item
2023-06-23 12:05:45	ga_s2bm_ard_3-2-1_50JKP_2023-06-23_final.stac-item
2023-09-18 11:56:58	ga_s2bm_ard_3-2-1_50HMJ_2023-09-18_final.stac-item
2023-09-22 11:36:35	ga_s2bm_ard_3-2-1_51HTE_2023-09-22_final.stac-item
2023-11-07 11:53:20	ga_s2bm_ard_3-2-1_50KQC_2023-11-07_final.stac-item
2023-11-08 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2023-11-08_final.stac-item
2023-11-24 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2023-11-24_final.stac-item
2023-12-17 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2023-12-17_final.stac-item
2024-01-02 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2024-01-02_final.stac-item
2024-01-26 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2024-01-26_final.stac-item
2024-02-15 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2024-02-15_final.stac-item
2024-03-02 12:13:37	ga_s2bm_ard_3-2-1_49KHS_2024-03-02_final.stac-item
2024-03-06 11:55:15	ga_s2bm_ard_3-2-1_50JNQ_2024-03-06_final.stac-item
2024-03-19 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2024-03-19_final.stac-item
2024-03-20 11:37:01	ga_s2bm_ard_3-2-1_51HTC_2024-03-20_final.stac-item
2024-05-19 11:36:56	ga_s2bm_ard_3-2-1_51HUC_2024-05-19_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