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
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50JKP_2018-02-09_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51HVC_2018-02-27_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HNJ_2018-04-04_final
2018-04-07 11:46:20	ga_s2bm_ard_3-2-1_50KRC_2018-04-07_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JPN_2018-07-03_final
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HNH_2018-10-31_final
2018-11-17 11:36:58	ga_s2bm_ard_3-2-1_51HTC_2018-11-17_final
2018-12-03 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2018-12-03_final
2018-12-19 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2018-12-19_final
2019-04-02 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2019-04-02_final
2019-04-09 11:44:09	ga_s2bm_ard_3-2-1_50KQV_2019-04-09_final
2019-04-10 11:17:03	ga_s2bm_ard_3-2-1_51HWC_2019-04-10_final.stac-item
2019-05-10 11:17:07	ga_s2bm_ard_3-2-1_51HWC_2019-05-10_final.stac-item
2019-05-22 11:57:29	ga_s2bm_ard_3-2-1_50HMG_2019-05-22_final.stac-item
2019-05-23 11:26:52	ga_s2bm_ard_3-2-1_51HVD_2019-05-23_final
2019-06-09 11:17:06	ga_s2bm_ard_3-2-1_51HWC_2019-06-09_final.stac-item
2019-06-11 11:56:15	ga_s2bm_ard_3-2-1_50JMM_2019-06-11_final
2019-08-23 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2019-08-23_final
2019-10-13 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2019-10-13_final
2019-10-22 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2019-10-22_final
2019-10-26 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2019-10-26_final.stac-item
2020-01-04 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2020-01-04_final
2020-02-09 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2020-02-09_final
2020-02-16 11:52:15	ga_s2bm_ard_3-2-1_50KQG_2020-02-16_final.stac-item
2020-03-20 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2020-03-20_final
2020-04-10 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2020-04-10_final
2020-05-22 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2020-05-22_final
2020-06-21 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2020-06-21_final
2020-07-16 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2020-07-16_final
2020-08-04 11:55:45	ga_s2bm_ard_3-2-1_50JLP_2020-08-04_final
2020-08-27 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-08-27_final
2020-09-03 11:56:11	ga_s2bm_ard_3-2-1_50JMM_2020-09-03_final
2020-10-10 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-10-10_final
2020-10-10 11:47:06	ga_s2bm_ard_3-2-1_50HPH_2020-10-10_final
2020-10-20 11:43:22	ga_s2bm_ard_3-2-1_50KRC_2020-10-20_final
2020-10-23 11:52:37	ga_s2bm_ard_3-2-1_50KQF_2020-10-23_final.stac-item
2020-12-28 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2020-12-28_final
2021-01-18 11:44:48	ga_s2bm_ard_3-2-1_50JQS_2021-01-18_final
2021-03-19 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2021-03-19_final.stac-item
2021-04-04 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2021-04-04_final
2021-04-24 12:05:50	ga_s2bm_ard_3-2-1_50JKN_2021-04-24_final
2021-05-01 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2021-05-01_final
2021-05-04 12:03:30	ga_s2bm_ard_3-2-1_50KNB_2021-05-04_final
2021-05-24 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2021-05-24_final
2021-06-07 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2021-06-07_final
2021-06-30 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2021-06-30_final
2021-07-03 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2021-07-03_final.stac-item
2021-07-10 11:55:51	ga_s2bm_ard_3-2-1_50JNN_2021-07-10_final
2021-07-10 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2021-07-10_final
2021-07-14 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2021-07-14_final
2021-07-18 11:17:01	ga_s2bm_ard_3-2-1_51HWC_2021-07-18_final.stac-item
2021-07-27 11:46:10	ga_s2bm_ard_3-2-1_50JNM_2021-07-27_final
2021-07-27 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2021-07-27_final
2021-08-12 12:04:22	ga_s2bm_ard_3-2-1_50KKU_2021-08-12_final
2021-08-15 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2021-08-15_final
2021-08-25 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2021-08-25_final
2021-08-29 11:56:05	ga_s2bm_ard_3-2-1_50JMM_2021-08-29_final
2021-10-22 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2021-10-22_final
2021-11-10 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2021-11-10_final
2021-11-14 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-11-14_final
2021-12-01 11:37:02	ga_s2bm_ard_3-2-1_50HPH_2021-12-01_final
2021-12-05 11:16:54	ga_s2bm_ard_3-2-1_51HWC_2021-12-05_final.stac-item
2021-12-07 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2021-12-07_final
2021-12-17 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2021-12-17_final
2021-12-21 11:36:37	ga_s2bm_ard_3-2-1_51HUD_2021-12-21_final
2022-01-03 11:43:18	ga_s2bm_ard_3-2-1_50KQC_2022-01-03_final
2022-01-17 11:26:28	ga_s2bm_ard_3-2-1_51HUE_2022-01-17_final
2022-01-19 12:03:15	ga_s2bm_ard_3-2-1_50KNC_2022-01-19_final
2022-02-08 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2022-02-08_final
2022-03-31 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2022-03-31_final
2022-04-02 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2022-04-02_final
2022-04-19 12:03:19	ga_s2bm_ard_3-2-1_50KMC_2022-04-19_final
2022-05-17 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2022-05-17_final
2022-06-05 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2022-06-05_final
2022-06-09 11:35:35	ga_s2bm_ard_3-2-1_51JTJ_2022-06-09_final
2022-06-21 12:13:58	ga_s2bm_ard_3-2-1_50KKA_2022-06-21_final
2022-08-10 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2022-08-10_final
2022-08-24 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2022-08-24_final
2022-10-03 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2022-10-03_final.stac-item
2022-10-30 11:45:45	ga_s2bm_ard_3-2-1_50JQN_2022-10-30_final.stac-item
2022-11-02 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2022-11-02_final.stac-item
2023-04-01 11:56:00	ga_s2bm_ard_3-2-1_50JLN_2023-04-01_final.stac-item
2023-04-08 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2023-04-08_final.stac-item
2023-05-02 11:26:57	ga_s2bm_ard_3-2-1_51HWC_2023-05-02_final.stac-item
2023-05-29 11:16:45	ga_s2bm_ard_3-2-1_51HXD_2023-05-29_final.stac-item
2023-06-13 12:04:04	ga_s2bm_ard_3-2-1_50KKA_2023-06-13_final.stac-item
2023-07-07 11:46:24	ga_s2bm_ard_3-2-1_50JPL_2023-07-07_final.stac-item
2023-08-09 11:54:31	ga_s2bm_ard_3-2-1_50KMU_2023-08-09_final.stac-item
2023-11-30 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2023-11-30_final.stac-item
2023-12-07 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2023-12-07_final.stac-item
2023-12-14 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2023-12-14_final.stac-item
2024-01-06 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2024-01-06_final.stac-item
2024-01-19 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2024-01-19_final.stac-item
2024-02-18 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2024-02-18_final.stac-item
2024-02-25 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2024-02-25_final.stac-item
2024-03-06 11:53:27	ga_s2bm_ard_3-2-1_50KQB_2024-03-06_final.stac-item
2024-03-13 11:43:59	ga_s2bm_ard_3-2-1_50KRV_2024-03-13_final.stac-item
2024-04-21 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2024-04-21_final.stac-item
2024-05-05 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2024-05-05_final.stac-item
2024-05-08 12:03:59	ga_s2bm_ard_3-2-1_50KKA_2024-05-08_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