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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HPG_2017-08-27_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50KLU_2017-09-09_final
2017-09-10 11:16:51	ga_s2bm_ard_3-2-1_52LCK_2017-09-10_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_51LUF_2017-09-16_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_50KKB_2017-11-14_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_52LCK_2017-11-29_final.stac-item
2017-12-18 11:55:59	ga_s2bm_ard_3-2-1_50HMH_2017-12-18_final
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HLG_2018-01-07_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50JPL_2018-01-11_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HLG_2018-02-06_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HMH_2018-02-06_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49JGJ_2018-02-09_final
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50JPL_2018-02-10_final
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50JML_2018-02-23_final
2018-03-09 11:21:24	ga_s2bm_ard_3-2-1_51HWC_2018-03-09_final.stac-item
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_50JPT_2018-03-25_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_50KPU_2018-03-25_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JPS_2018-03-25_final
2018-03-27 10:45:51	ga_s2bm_ard_3-2-1_52JGL_2018-03-27_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50HMJ_2018-03-28_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKQ_2018-03-31_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50JQL_2018-04-01_final
2018-04-03 10:27:04	ga_s2bm_ard_3-2-1_53HLD_2018-04-03_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JNP_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JPS_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50KPU_2018-04-04_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50JMM_2018-04-04_final
2018-04-06 10:37:24	ga_s2bm_ard_3-2-1_52JGL_2018-04-06_final
2018-04-09 10:50:37	ga_s2bm_ard_3-2-1_53HKE_2018-04-09_final.stac-item
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JPM_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JPN_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JPS_2018-04-14_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_50JKN_2018-04-17_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50KLU_2018-04-17_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKP_2018-04-20_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50JQM_2018-04-21_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51HUE_2018-04-21_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JPQ_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JPR_2018-04-24_final
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_51KUB_2018-07-03_final.stac-item
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50KQD_2018-07-16_final.stac-item
2018-07-31 11:00:38	ga_s2bm_ard_3-2-1_52HCK_2018-07-31_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HPG_2018-08-02_final.stac-item
2018-08-13 11:07:07	ga_s2bm_ard_3-2-1_52LEK_2018-08-13_final.stac-item
2018-08-15 11:43:38	ga_s2bm_ard_3-2-1_50KQD_2018-08-15_final.stac-item
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49KHS_2018-09-17_final.stac-item
2018-09-22 11:12:44	ga_s2bm_ard_3-2-1_52KEU_2018-09-22_final
2019-01-08 10:36:38	ga_s2bm_ard_3-2-1_53HMC_2019-01-08_final.stac-item
2019-02-07 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2019-02-07_final.stac-item
2019-02-25 11:31:23	ga_s2bm_ard_3-2-1_51LYE_2019-02-25_final
2019-03-27 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2019-03-27_final.stac-item
2019-04-06 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2019-04-06_final.stac-item
2019-04-10 11:16:20	ga_s2bm_ard_3-2-1_52HCK_2019-04-10_final.stac-item
2019-04-22 11:57:30	ga_s2bm_ard_3-2-1_50HLG_2019-04-22_final.stac-item
2019-04-25 10:26:39	ga_s2bm_ard_3-2-1_53HQC_2019-04-25_final
2019-04-26 11:37:28	ga_s2bm_ard_3-2-1_50HPG_2019-04-26_final.stac-item
2019-05-20 11:11:28	ga_s2bm_ard_3-2-1_52LEK_2019-05-20_final.stac-item
2019-05-22 11:54:47	ga_s2bm_ard_3-2-1_50JLT_2019-05-22_final
2019-05-25 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2019-05-25_final
2019-06-06 11:06:29	ga_s2bm_ard_3-2-1_52HCK_2019-06-06_final.stac-item
2019-06-08 11:47:32	ga_s2bm_ard_3-2-1_50HMG_2019-06-08_final.stac-item
2019-09-03 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2019-09-03_final.stac-item
2019-10-27 11:17:00	ga_s2bm_ard_3-2-1_51HWC_2019-10-27_final.stac-item
2020-02-20 11:37:13	ga_s2bm_ard_3-2-1_50HQG_2020-02-20_final.stac-item
2020-05-20 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2020-05-20_final
2020-06-25 11:53:05	ga_s2bm_ard_3-2-1_50KQD_2020-06-25_final.stac-item
2020-07-29 11:33:19	ga_s2bm_ard_3-2-1_51KVT_2020-07-29_final
2020-10-25 10:56:00	ga_s2bm_ard_3-2-1_52JGL_2020-10-25_final
2020-11-07 11:06:23	ga_s2bm_ard_3-2-1_52HCK_2020-11-07_final.stac-item
2020-12-29 11:47:25	ga_s2bm_ard_3-2-1_50HLG_2020-12-29_final.stac-item
2021-03-31 10:46:13	ga_s2bm_ard_3-2-1_52HGK_2021-03-31_final.stac-item
2021-04-24 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2021-04-24_final.stac-item
2021-05-09 11:10:30	ga_s2bm_ard_3-2-1_52LFN_2021-05-09_final.stac-item
2021-07-19 10:46:14	ga_s2bm_ard_3-2-1_53HKE_2021-07-19_final.stac-item
2021-07-31 11:21:23	ga_s2bm_ard_3-2-1_52LCK_2021-07-31_final.stac-item
2021-08-03 11:34:17	ga_s2bm_ard_3-2-1_51JXN_2021-08-03_final
2021-09-14 12:13:36	ga_s2bm_ard_3-2-1_49KHS_2021-09-14_final.stac-item
2021-09-19 11:26:58	ga_s2bm_ard_3-2-1_51HUC_2021-09-19_final
2021-09-21 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2021-09-21_final.stac-item
2021-11-05 11:10:47	ga_s2bm_ard_3-2-1_52LFM_2021-11-05_final.stac-item
2021-11-18 11:21:19	ga_s2bm_ard_3-2-1_52LCK_2021-11-18_final.stac-item
2021-12-07 11:54:28	ga_s2bm_ard_3-2-1_50KLU_2021-12-07_final
2021-12-07 11:56:46	ga_s2bm_ard_3-2-1_50HMJ_2021-12-07_final
2022-01-09 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2022-01-09_final.stac-item
2022-02-16 11:21:15	ga_s2bm_ard_3-2-1_52LCK_2022-02-16_final.stac-item
2022-07-06 11:21:26	ga_s2bm_ard_3-2-1_52LCK_2022-07-06_final.stac-item
2022-08-17 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2022-08-17_final.stac-item
2022-08-20 10:35:58	ga_s2bm_ard_3-2-1_53HQE_2022-08-20_final
2022-10-24 11:21:20	ga_s2bm_ard_3-2-1_52LCK_2022-10-24_final.stac-item
2022-11-03 11:21:19	ga_s2bm_ard_3-2-1_52LCK_2022-11-03_final.stac-item
2023-04-02 11:21:24	ga_s2bm_ard_3-2-1_52LCK_2023-04-02_final.stac-item
2023-04-25 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2023-04-25_final.stac-item
2023-07-03 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2023-07-03_final.stac-item
2023-07-21 11:21:27	ga_s2bm_ard_3-2-1_52LCK_2023-07-21_final.stac-item
2023-08-03 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2023-08-03_final.stac-item
2024-01-17 11:22:51	ga_s2bm_ard_3-2-1_51KZU_2024-01-17_final.stac-item
2024-01-20 11:31:23	ga_s2bm_ard_3-2-1_51LYE_2024-01-20_final.stac-item
2024-02-13 11:12:36	ga_s2bm_ard_3-2-1_52KDE_2024-02-13_final.stac-item
2024-03-07 11:23:30	ga_s2bm_ard_3-2-1_51KZR_2024-03-07_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