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_51JXN_2017-07-05_final
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49KHS_2017-08-13_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50KPU_2017-08-27_final
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_49JHN_2017-09-12_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HPG_2017-12-15_final.stac-item
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HLH_2017-12-25_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HMG_2018-01-04_final.stac-item
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HMH_2018-01-07_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50JPM_2018-02-13_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_50HQG_2018-03-02_final.stac-item
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51HVE_2018-03-19_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_50JQS_2018-03-25_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JNP_2018-03-25_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JNR_2018-03-25_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JQR_2018-03-25_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JMP_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JMT_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JPR_2018-03-28_final
2018-03-29 11:23:39	ga_s2bm_ard_3-2-1_51HUD_2018-03-29_final
2018-03-29 11:23:39	ga_s2bm_ard_3-2-1_51JVG_2018-03-29_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JHN_2018-03-31_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKR_2018-03-31_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKT_2018-03-31_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JLT_2018-03-31_final
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51JTJ_2018-04-01_final.stac-item
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JQQ_2018-04-04_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HMK_2018-04-04_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HPJ_2018-04-04_final
2018-04-07 11:46:20	ga_s2bm_ard_3-2-1_50KRC_2018-04-07_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JLQ_2018-04-07_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JMT_2018-04-07_final
2018-04-08 11:24:02	ga_s2bm_ard_3-2-1_51JUG_2018-04-08_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JGM_2018-04-10_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_50JQM_2018-04-11_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49JGL_2018-04-13_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HPK_2018-04-14_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50JMM_2018-04-14_final
2018-04-18 11:23:34	ga_s2bm_ard_3-2-1_51JVF_2018-04-18_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HPJ_2018-04-21_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HQK_2018-04-21_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50JQN_2018-04-21_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51JTJ_2018-04-21_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JRS_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50KRU_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_51JTM_2018-04-24_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50JNN_2018-07-23_final
2019-04-09 11:47:25	ga_s2bm_ard_3-2-1_50HNG_2019-04-09_final.stac-item
2019-04-19 11:43:09	ga_s2bm_ard_3-2-1_51KTU_2019-04-19_final
2019-04-29 11:45:40	ga_s2bm_ard_3-2-1_50JQP_2019-04-29_final
2019-04-29 11:46:01	ga_s2bm_ard_3-2-1_50JNN_2019-04-29_final
2019-05-18 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-05-18_final
2019-05-22 11:54:32	ga_s2bm_ard_3-2-1_50JQT_2019-05-22_final
2019-05-23 11:26:26	ga_s2bm_ard_3-2-1_51JUF_2019-05-23_final
2019-05-29 11:43:12	ga_s2bm_ard_3-2-1_51KTU_2019-05-29_final
2019-05-29 11:44:18	ga_s2bm_ard_3-2-1_50KPV_2019-05-29_final
2019-05-29 11:45:59	ga_s2bm_ard_3-2-1_50JPN_2019-05-29_final
2019-05-29 11:46:13	ga_s2bm_ard_3-2-1_50JPM_2019-05-29_final
2019-05-29 11:47:33	ga_s2bm_ard_3-2-1_50HMG_2019-05-29_final.stac-item
2019-06-05 11:37:34	ga_s2bm_ard_3-2-1_50HNG_2019-06-05_final.stac-item
2019-06-08 11:47:25	ga_s2bm_ard_3-2-1_50HPG_2019-06-08_final.stac-item
2019-06-29 11:17:07	ga_s2bm_ard_3-2-1_51HWC_2019-06-29_final.stac-item
2019-07-11 11:54:47	ga_s2bm_ard_3-2-1_50JLT_2019-07-11_final
2019-08-03 12:03:52	ga_s2bm_ard_3-2-1_49KHS_2019-08-03_final.stac-item
2019-08-17 11:43:09	ga_s2bm_ard_3-2-1_51KTU_2019-08-17_final
2019-12-06 11:16:53	ga_s2bm_ard_3-2-1_51HWC_2019-12-06_final.stac-item
2020-02-20 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2020-02-20_final.stac-item
2020-03-03 12:13:37	ga_s2bm_ard_3-2-1_49KHS_2020-03-03_final.stac-item
2020-03-25 11:16:56	ga_s2bm_ard_3-2-1_51HWC_2020-03-25_final.stac-item
2020-10-23 11:54:38	ga_s2bm_ard_3-2-1_50KLU_2020-10-23_final
2020-10-30 11:43:07	ga_s2bm_ard_3-2-1_50KRD_2020-10-30_final
2020-10-30 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2020-10-30_final.stac-item
2020-11-03 11:26:50	ga_s2bm_ard_3-2-1_51HUD_2020-11-03_final
2020-12-29 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2020-12-29_final.stac-item
2021-02-04 11:36:13	ga_s2bm_ard_3-2-1_51JUF_2021-02-04_final
2021-05-08 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2021-05-08_final.stac-item
2021-05-21 11:54:33	ga_s2bm_ard_3-2-1_50KLU_2021-05-21_final
2021-05-22 11:26:54	ga_s2bm_ard_3-2-1_51HWC_2021-05-22_final.stac-item
2021-05-25 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2021-05-25_final.stac-item
2021-06-10 11:54:24	ga_s2bm_ard_3-2-1_50JQT_2021-06-10_final
2021-06-13 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-06-13_final
2021-06-14 11:35:38	ga_s2bm_ard_3-2-1_50JQP_2021-06-14_final
2021-07-03 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-07-03_final
2021-07-03 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-07-03_final
2021-07-07 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2021-07-07_final
2021-07-07 11:44:25	ga_s2bm_ard_3-2-1_50KPU_2021-07-07_final
2021-07-10 11:54:46	ga_s2bm_ard_3-2-1_50JLT_2021-07-10_final
2021-07-10 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2021-07-10_final
2021-07-27 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2021-07-27_final.stac-item
2021-08-06 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2021-08-06_final.stac-item
2021-10-11 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2021-10-11_final.stac-item
2021-11-10 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2021-11-10_final.stac-item
2021-11-14 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2021-11-14_final.stac-item
2021-11-21 11:34:40	ga_s2bm_ard_3-2-1_51JVM_2021-11-21_final
2022-07-29 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2022-07-29_final.stac-item
2022-08-18 11:34:18	ga_s2bm_ard_3-2-1_51JXN_2022-08-18_final
2023-01-11 11:54:40	ga_s2bm_ard_3-2-1_50JLT_2023-01-11_final.stac-item
2023-03-09 11:44:14	ga_s2bm_ard_3-2-1_50KPV_2023-03-09_final.stac-item
2023-05-04 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-05-04_final.stac-item
2023-06-03 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2023-06-03_final.stac-item
2023-08-16 11:43:09	ga_s2bm_ard_3-2-1_51KTU_2023-08-16_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