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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49KHR_2017-08-13_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HPJ_2017-10-26_final
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HMJ_2017-12-05_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JKP_2018-02-16_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JKP_2018-03-28_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49KHS_2018-05-20_final.stac-item
2018-05-28 11:26:26	ga_s2bm_ard_3-2-1_51HVC_2018-05-28_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_50HPJ_2018-06-30_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HNJ_2018-07-03_final
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_51HWC_2018-07-04_final.stac-item
2018-07-20 11:35:23	ga_s2bm_ard_3-2-1_50HQG_2018-07-20_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HPG_2018-08-02_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JLR_2018-08-05_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HNG_2018-08-22_final.stac-item
2018-11-20 11:44:24	ga_s2bm_ard_3-2-1_51JUN_2018-11-20_final
2018-11-30 11:44:26	ga_s2bm_ard_3-2-1_51JTN_2018-11-30_final
2018-12-09 12:15:04	ga_s2bm_ard_3-2-1_49JGL_2018-12-09_final
2018-12-26 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2018-12-26_final
2019-01-09 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2019-01-09_final
2019-01-16 11:34:57	ga_s2bm_ard_3-2-1_51JVL_2019-01-16_final
2019-01-28 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2019-01-28_final
2019-01-28 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2019-01-28_final
2019-03-16 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2019-03-16_final
2019-03-16 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2019-03-16_final
2019-04-02 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2019-04-02_final
2019-04-29 11:45:47	ga_s2bm_ard_3-2-1_50JNP_2019-04-29_final
2019-08-11 11:27:05	ga_s2bm_ard_3-2-1_51HVC_2019-08-11_final
2019-10-19 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2019-10-19_final
2019-11-19 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2019-11-19_final
2019-11-25 11:43:15	ga_s2bm_ard_3-2-1_50KRC_2019-11-25_final
2019-12-16 11:16:53	ga_s2bm_ard_3-2-1_51HWC_2019-12-16_final.stac-item
2019-12-28 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2019-12-28_final
2020-01-04 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2020-01-04_final.stac-item
2020-03-14 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2020-03-14_final
2020-06-12 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2020-06-12_final
2020-07-19 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2020-07-19_final
2020-08-05 11:25:42	ga_s2bm_ard_3-2-1_51JXH_2020-08-05_final
2020-08-11 11:46:16	ga_s2bm_ard_3-2-1_50JMM_2020-08-11_final
2020-08-21 11:47:06	ga_s2bm_ard_3-2-1_50HPH_2020-08-21_final
2020-10-20 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2020-10-20_final
2020-10-27 11:37:01	ga_s2bm_ard_3-2-1_51HUC_2020-10-27_final
2020-10-30 11:47:20	ga_s2bm_ard_3-2-1_50HPG_2020-10-30_final.stac-item
2020-11-02 11:53:20	ga_s2bm_ard_3-2-1_50KQC_2020-11-02_final
2020-11-06 11:34:27	ga_s2bm_ard_3-2-1_51JWN_2020-11-06_final
2020-11-09 11:43:52	ga_s2bm_ard_3-2-1_50KQA_2020-11-09_final
2020-11-19 11:44:28	ga_s2bm_ard_3-2-1_51JUN_2020-11-19_final
2020-11-29 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2020-11-29_final
2020-12-19 11:44:26	ga_s2bm_ard_3-2-1_50JRT_2020-12-19_final
2020-12-25 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2020-12-25_final.stac-item
2020-12-26 11:34:33	ga_s2bm_ard_3-2-1_51JTN_2020-12-26_final
2020-12-28 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2020-12-28_final
2020-12-29 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2020-12-29_final
2021-01-18 11:44:27	ga_s2bm_ard_3-2-1_51JUN_2021-01-18_final
2021-01-18 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2021-01-18_final
2021-01-21 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2021-01-21_final
2021-05-18 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2021-05-18_final
2021-05-21 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2021-05-21_final
2021-06-03 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2021-06-03_final
2021-06-13 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2021-06-13_final
2021-08-06 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2021-08-06_final
2021-08-10 11:26:06	ga_s2bm_ard_3-2-1_51JUG_2021-08-10_final
2021-08-19 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2021-08-19_final
2021-08-22 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2021-08-22_final.stac-item
2021-11-24 11:44:23	ga_s2bm_ard_3-2-1_51JUN_2021-11-24_final
2021-12-07 11:55:51	ga_s2bm_ard_3-2-1_50JLN_2021-12-07_final
2021-12-28 11:24:51	ga_s2bm_ard_3-2-1_51JXL_2021-12-28_final
2021-12-31 11:34:33	ga_s2bm_ard_3-2-1_50JRT_2021-12-31_final
2022-02-12 11:44:43	ga_s2bm_ard_3-2-1_50JQS_2022-02-12_final
2022-03-10 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2022-03-10_final
2022-03-30 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2022-03-30_final
2022-05-23 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2022-05-23_final
2022-06-15 11:53:14	ga_s2bm_ard_3-2-1_50KRC_2022-06-15_final
2022-07-29 11:36:15	ga_s2bm_ard_3-2-1_51JVF_2022-07-29_final
2022-08-25 11:27:08	ga_s2bm_ard_3-2-1_51HTC_2022-08-25_final
2022-09-03 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2022-09-03_final.stac-item
2022-10-04 11:26:53	ga_s2bm_ard_3-2-1_51HWC_2022-10-04_final.stac-item
2022-10-07 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2022-10-07_final.stac-item
2023-01-21 11:53:37	ga_s2bm_ard_3-2-1_50KNB_2023-01-21_final.stac-item
2023-01-29 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2023-01-29_final.stac-item
2023-02-07 11:44:25	ga_s2bm_ard_3-2-1_51JUN_2023-02-07_final.stac-item
2023-02-23 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2023-02-23_final.stac-item
2023-04-01 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2023-04-01_final.stac-item
2023-05-05 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2023-05-05_final.stac-item
2023-05-11 11:53:13	ga_s2bm_ard_3-2-1_50KRC_2023-05-11_final.stac-item
2023-05-24 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2023-05-24_final.stac-item
2023-06-08 11:17:02	ga_s2bm_ard_3-2-1_51HWC_2023-06-08_final.stac-item
2023-06-14 11:36:43	ga_s2bm_ard_3-2-1_50HPK_2023-06-14_final.stac-item
2023-06-16 12:13:59	ga_s2bm_ard_3-2-1_50KKA_2023-06-16_final.stac-item
2023-07-23 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2023-07-23_final.stac-item
2023-11-24 11:44:22	ga_s2bm_ard_3-2-1_51JUN_2023-11-24_final.stac-item
2023-11-27 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2023-11-27_final.stac-item
2023-12-24 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2023-12-24_final.stac-item
2023-12-31 11:34:26	ga_s2bm_ard_3-2-1_51JWN_2023-12-31_final.stac-item
2023-12-31 11:34:30	ga_s2bm_ard_3-2-1_51JVN_2023-12-31_final.stac-item
2024-01-10 11:34:23	ga_s2bm_ard_3-2-1_51JWN_2024-01-10_final.stac-item
2024-02-02 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2024-02-02_final.stac-item
2024-02-21 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2024-02-21_final.stac-item
2024-03-02 12:13:37	ga_s2bm_ard_3-2-1_49KHS_2024-03-02_final.stac-item
2024-04-12 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2024-04-12_final.stac-item
2024-04-26 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2024-04-26_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