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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51KUQ_2017-07-05_final
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50HMJ_2017-07-18_final
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50JQL_2017-08-07_final
2017-10-06 11:47:02	ga_s2bm_ard_3-2-1_50HMG_2017-10-06_final.stac-item
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50KLB_2017-10-12_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51KUP_2017-11-25_final
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50JLM_2018-01-27_final
2018-02-04 11:11:54	ga_s2bm_ard_3-2-1_51JYM_2018-02-04_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HLH_2018-02-16_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51HUC_2018-02-27_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51HVC_2018-02-27_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HPK_2018-03-05_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50KMC_2018-03-31_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HMJ_2018-04-14_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50HLK_2018-04-17_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51HTD_2018-05-31_final
2018-06-02 12:13:22	ga_s2bm_ard_3-2-1_50KKV_2018-06-02_final
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49KHR_2018-06-12_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49KHQ_2018-07-19_final
2018-07-26 11:46:09	ga_s2bm_ard_3-2-1_50KQG_2018-07-26_final.stac-item
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_50KKU_2018-09-17_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51JVF_2018-09-18_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49KHP_2018-10-17_final
2018-11-16 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2018-11-16_final
2019-01-23 11:24:44	ga_s2bm_ard_3-2-1_51JWM_2019-01-23_final
2019-02-14 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2019-02-14_final
2019-03-27 11:35:34	ga_s2bm_ard_3-2-1_51JTJ_2019-03-27_final
2019-04-19 11:45:30	ga_s2bm_ard_3-2-1_50JNQ_2019-04-19_final
2019-04-22 11:56:36	ga_s2bm_ard_3-2-1_50HNK_2019-04-22_final
2019-04-30 11:16:01	ga_s2bm_ard_3-2-1_51JYG_2019-04-30_final
2019-05-23 11:26:52	ga_s2bm_ard_3-2-1_51HVD_2019-05-23_final
2019-07-24 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-07-24_final
2019-09-06 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2019-09-06_final.stac-item
2019-09-12 12:04:14	ga_s2bm_ard_3-2-1_50KKV_2019-09-12_final
2019-10-12 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2019-10-12_final
2019-12-02 11:36:33	ga_s2bm_ard_3-2-1_50HPK_2019-12-02_final
2020-01-01 11:36:52	ga_s2bm_ard_3-2-1_51HUC_2020-01-01_final
2020-01-15 11:14:23	ga_s2bm_ard_3-2-1_51JYN_2020-01-15_final
2020-01-30 12:04:28	ga_s2bm_ard_3-2-1_50JMT_2020-01-30_final
2020-01-31 11:36:26	ga_s2bm_ard_3-2-1_50HQK_2020-01-31_final
2020-03-24 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2020-03-24_final
2020-04-17 11:25:20	ga_s2bm_ard_3-2-1_51JXJ_2020-04-17_final
2020-05-03 11:43:55	ga_s2bm_ard_3-2-1_51KUQ_2020-05-03_final
2020-05-06 11:55:36	ga_s2bm_ard_3-2-1_50JMP_2020-05-06_final
2020-06-05 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2020-06-05_final
2020-07-15 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2020-07-15_final
2020-08-21 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2020-08-21_final
2020-09-20 11:44:00	ga_s2bm_ard_3-2-1_51KUQ_2020-09-20_final
2020-10-03 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2020-10-03_final
2020-10-07 11:35:34	ga_s2bm_ard_3-2-1_51JUJ_2020-10-07_final
2020-11-09 11:44:03	ga_s2bm_ard_3-2-1_50KRV_2020-11-09_final
2020-11-09 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2020-11-09_final
2020-11-18 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2020-11-18_final
2020-11-22 11:57:16	ga_s2bm_ard_3-2-1_50HLH_2020-11-22_final
2020-11-30 11:14:37	ga_s2bm_ard_3-2-1_51JZM_2020-11-30_final
2020-12-03 11:25:52	ga_s2bm_ard_3-2-1_51JXG_2020-12-03_final
2020-12-25 12:03:24	ga_s2bm_ard_3-2-1_50KLC_2020-12-25_final
2021-01-29 11:14:55	ga_s2bm_ard_3-2-1_51JYL_2021-01-29_final
2021-03-10 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2021-03-10_final.stac-item
2021-03-25 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2021-03-25_final
2021-05-01 11:56:26	ga_s2bm_ard_3-2-1_50HNK_2021-05-01_final
2021-07-14 11:34:51	ga_s2bm_ard_3-2-1_50JRS_2021-07-14_final
2021-07-21 11:25:44	ga_s2bm_ard_3-2-1_51JWH_2021-07-21_final
2021-09-15 11:46:19	ga_s2bm_ard_3-2-1_50JNL_2021-09-15_final
2021-10-08 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2021-10-08_final
2021-10-15 11:43:23	ga_s2bm_ard_3-2-1_50KQC_2021-10-15_final
2021-10-15 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2021-10-15_final
2021-11-14 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2021-11-14_final.stac-item
2021-11-18 11:24:24	ga_s2bm_ard_3-2-1_51JXN_2021-11-18_final
2022-02-25 11:52:30	ga_s2bm_ard_3-2-1_50KQF_2022-02-25_final.stac-item
2022-03-14 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2022-03-14_final
2022-06-02 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2022-06-02_final
2022-07-02 11:46:24	ga_s2bm_ard_3-2-1_50JPL_2022-07-02_final
2022-07-05 11:53:22	ga_s2bm_ard_3-2-1_50KQC_2022-07-05_final
2022-07-15 11:56:15	ga_s2bm_ard_3-2-1_50JLM_2022-07-15_final
2022-07-19 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2022-07-19_final
2022-07-22 11:43:09	ga_s2bm_ard_3-2-1_50KRD_2022-07-22_final
2022-08-08 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2022-08-08_final.stac-item
2022-08-24 11:53:25	ga_s2bm_ard_3-2-1_50KNC_2022-08-24_final
2022-10-23 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2022-10-23_final.stac-item
2022-11-08 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2022-11-08_final.stac-item
2023-01-02 11:25:04	ga_s2bm_ard_3-2-1_51JYK_2023-01-02_final.stac-item
2023-01-22 11:26:38	ga_s2bm_ard_3-2-1_51HWD_2023-01-22_final.stac-item
2023-03-09 11:43:08	ga_s2bm_ard_3-2-1_50KRD_2023-03-09_final.stac-item
2023-03-28 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-03-28_final.stac-item
2023-04-05 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2023-04-05_final.stac-item
2023-04-28 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2023-04-28_final.stac-item
2023-05-14 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2023-05-14_final.stac-item
2023-09-22 11:35:48	ga_s2bm_ard_3-2-1_51JUH_2023-09-22_final.stac-item
2023-09-25 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2023-09-25_final.stac-item
2023-10-18 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2023-10-18_final.stac-item
2023-10-19 11:26:34	ga_s2bm_ard_3-2-1_51HUE_2023-10-19_final.stac-item
2023-11-14 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2023-11-14_final.stac-item
2023-11-17 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2023-11-17_final.stac-item
2023-11-27 11:53:27	ga_s2bm_ard_3-2-1_50KMC_2023-11-27_final.stac-item
2023-12-13 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2023-12-13_final.stac-item
2023-12-21 11:34:18	ga_s2bm_ard_3-2-1_51KUP_2023-12-21_final.stac-item
2024-03-17 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2024-03-17_final.stac-item
2024-03-20 11:34:39	ga_s2bm_ard_3-2-1_51JWM_2024-03-20_final.stac-item
2024-03-29 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2024-03-29_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