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
2020-11-28 10:35:15	ga_s2bm_ard_3-2-1_53JPH_2020-11-28_final
2020-11-28 10:35:17	ga_s2bm_ard_3-2-1_53JNH_2020-11-28_final
2020-11-28 10:35:18	ga_s2bm_ard_3-2-1_53JMH_2020-11-28_final
2020-11-28 10:35:21	ga_s2bm_ard_3-2-1_53JPH_2020-11-28_final
2020-11-28 10:35:23	ga_s2bm_ard_3-2-1_53JNH_2020-11-28_final
2020-11-28 10:35:27	ga_s2bm_ard_3-2-1_53JMH_2020-11-28_final
2020-11-28 10:35:30	ga_s2bm_ard_3-2-1_53JQG_2020-11-28_final
2020-11-28 10:35:34	ga_s2bm_ard_3-2-1_53JPG_2020-11-28_final
2020-11-28 10:35:37	ga_s2bm_ard_3-2-1_53JNG_2020-11-28_final
2020-11-28 10:35:41	ga_s2bm_ard_3-2-1_53JMG_2020-11-28_final
2020-11-28 10:35:44	ga_s2bm_ard_3-2-1_53JQF_2020-11-28_final
2020-11-28 10:35:48	ga_s2bm_ard_3-2-1_53JPF_2020-11-28_final
2020-11-28 10:35:56	ga_s2bm_ard_3-2-1_53HQE_2020-11-28_final
2020-11-28 10:36:03	ga_s2bm_ard_3-2-1_53HPE_2020-11-28_final
2020-11-28 10:36:06	ga_s2bm_ard_3-2-1_53HNE_2020-11-28_final
2020-11-28 10:36:10	ga_s2bm_ard_3-2-1_53HME_2020-11-28_final
2020-11-28 10:36:16	ga_s2bm_ard_3-2-1_53HLE_2020-11-28_final
2020-11-28 10:36:17	ga_s2bm_ard_3-2-1_53HPD_2020-11-28_final
2020-11-28 10:36:21	ga_s2bm_ard_3-2-1_53HND_2020-11-28_final
2020-11-28 10:36:24	ga_s2bm_ard_3-2-1_53HMD_2020-11-28_final
2020-11-28 10:36:28	ga_s2bm_ard_3-2-1_53HLD_2020-11-28_final
2020-11-28 10:36:32	ga_s2bm_ard_3-2-1_53HPC_2020-11-28_final
2020-11-28 10:36:46	ga_s2bm_ard_3-2-1_53HPB_2020-11-28_final
2020-11-28 10:36:58	ga_s2bm_ard_3-2-1_53HPA_2020-11-28_final
2020-11-28 10:37:08	ga_s2bm_ard_3-2-1_53HPV_2020-11-28_final.stac-item
2020-11-28 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2020-11-28_final.stac-item
2020-11-28 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2020-11-28_final
2020-11-28 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2020-11-28_final
2020-11-28 12:15:20	ga_s2bm_ard_3-2-1_49JGK_2020-11-28_final
2020-11-29 10:01:14	ga_s2bm_ard_3-2-1_55LFC_2020-11-29_final
2020-11-29 10:01:17	ga_s2bm_ard_3-2-1_55LEC_2020-11-29_final
2020-11-29 10:01:24	ga_s2bm_ard_3-2-1_55LCC_2020-11-29_final
2020-11-29 10:01:28	ga_s2bm_ard_3-2-1_55KFB_2020-11-29_final
2020-11-29 10:01:32	ga_s2bm_ard_3-2-1_55KEB_2020-11-29_final
2020-11-29 10:01:35	ga_s2bm_ard_3-2-1_55KDB_2020-11-29_final
2020-11-29 10:01:38	ga_s2bm_ard_3-2-1_55KCB_2020-11-29_final
2020-11-29 10:01:42	ga_s2bm_ard_3-2-1_55KFA_2020-11-29_final
2020-11-29 10:01:50	ga_s2bm_ard_3-2-1_55KDA_2020-11-29_final
2020-11-29 10:01:53	ga_s2bm_ard_3-2-1_55KCA_2020-11-29_final
2020-11-29 10:02:01	ga_s2bm_ard_3-2-1_55KEV_2020-11-29_final
2020-11-29 10:02:04	ga_s2bm_ard_3-2-1_55KDV_2020-11-29_final
2020-11-29 10:02:05	ga_s2bm_ard_3-2-1_55KFU_2020-11-29_final
2020-11-29 10:02:07	ga_s2bm_ard_3-2-1_55KCV_2020-11-29_final
2020-11-29 10:02:15	ga_s2bm_ard_3-2-1_55KEU_2020-11-29_final
2020-11-29 10:02:19	ga_s2bm_ard_3-2-1_55KDU_2020-11-29_final
2020-11-29 10:02:22	ga_s2bm_ard_3-2-1_55KCU_2020-11-29_final
2020-11-29 10:02:39	ga_s2bm_ard_3-2-1_55KBT_2020-11-29_final
2020-11-29 10:02:54	ga_s2bm_ard_3-2-1_54KZB_2020-11-29_final
2020-11-29 10:03:09	ga_s2bm_ard_3-2-1_54KZA_2020-11-29_final
2020-11-29 10:03:24	ga_s2bm_ard_3-2-1_54KZV_2020-11-29_final
2020-11-29 10:03:52	ga_s2bm_ard_3-2-1_54JZT_2020-11-29_final
2020-11-29 10:04:07	ga_s2bm_ard_3-2-1_54JZS_2020-11-29_final
2020-11-29 10:04:13	ga_s2bm_ard_3-2-1_55JDL_2020-11-29_final
2020-11-29 10:04:22	ga_s2bm_ard_3-2-1_55JBL_2020-11-29_final
2020-11-29 10:04:25	ga_s2bm_ard_3-2-1_54JYR_2020-11-29_final
2020-11-29 10:04:36	ga_s2bm_ard_3-2-1_55JBK_2020-11-29_final
2020-11-29 10:04:39	ga_s2bm_ard_3-2-1_54JYQ_2020-11-29_final
2020-11-29 10:04:43	ga_s2bm_ard_3-2-1_54JXQ_2020-11-29_final
2020-11-29 10:04:47	ga_s2bm_ard_3-2-1_55JCJ_2020-11-29_final
2020-11-29 10:04:51	ga_s2bm_ard_3-2-1_55JBJ_2020-11-29_final
2020-11-29 10:04:54	ga_s2bm_ard_3-2-1_54JYP_2020-11-29_final
2020-11-29 10:04:57	ga_s2bm_ard_3-2-1_54JXP_2020-11-29_final
2020-11-29 10:05:02	ga_s2bm_ard_3-2-1_55JCH_2020-11-29_final
2020-11-29 10:05:12	ga_s2bm_ard_3-2-1_54JXN_2020-11-29_final
2020-11-29 10:05:16	ga_s2bm_ard_3-2-1_55JCG_2020-11-29_final
2020-11-29 10:05:20	ga_s2bm_ard_3-2-1_55JBG_2020-11-29_final
2020-11-29 10:05:23	ga_s2bm_ard_3-2-1_54JYM_2020-11-29_final
2020-11-29 10:05:26	ga_s2bm_ard_3-2-1_54JXM_2020-11-29_final
2020-11-29 10:05:29	ga_s2bm_ard_3-2-1_55JCF_2020-11-29_final
2020-11-29 10:05:33	ga_s2bm_ard_3-2-1_54JWM_2020-11-29_final
2020-11-29 10:05:34	ga_s2bm_ard_3-2-1_55JBF_2020-11-29_final
2020-11-29 10:05:36	ga_s2bm_ard_3-2-1_54JYL_2020-11-29_final
2020-11-29 10:05:38	ga_s2bm_ard_3-2-1_54JXL_2020-11-29_final
2020-11-29 10:05:39	ga_s2bm_ard_3-2-1_55HCE_2020-11-29_final
2020-11-29 10:05:39	ga_s2bm_ard_3-2-1_55HCE_2020-11-29_final
2020-11-29 10:05:41	ga_s2bm_ard_3-2-1_55HBE_2020-11-29_final
2020-11-29 10:05:41	ga_s2bm_ard_3-2-1_55JBF_2020-11-29_final
2020-11-29 10:05:41	ga_s2bm_ard_3-2-1_54HYK_2020-11-29_final
2020-11-29 10:05:42	ga_s2bm_ard_3-2-1_54JYL_2020-11-29_final
2020-11-29 10:05:44	ga_s2bm_ard_3-2-1_54JXL_2020-11-29_final
2020-11-29 10:05:49	ga_s2bm_ard_3-2-1_55HBE_2020-11-29_final
2020-11-29 10:05:51	ga_s2bm_ard_3-2-1_54HYK_2020-11-29_final
2020-11-29 10:05:55	ga_s2bm_ard_3-2-1_54HXK_2020-11-29_final
2020-11-29 10:05:59	ga_s2bm_ard_3-2-1_54HWK_2020-11-29_final
2020-11-29 10:06:10	ga_s2bm_ard_3-2-1_54HXJ_2020-11-29_final
2020-11-29 10:06:20	ga_s2bm_ard_3-2-1_54HYH_2020-11-29_final
2020-11-29 10:06:24	ga_s2bm_ard_3-2-1_54HXH_2020-11-29_final
2020-11-29 10:06:39	ga_s2bm_ard_3-2-1_54HXG_2020-11-29_final
2020-11-29 10:06:45	ga_s2bm_ard_3-2-1_55HBA_2020-11-29_final
2020-11-29 10:06:49	ga_s2bm_ard_3-2-1_54HYF_2020-11-29_final
2020-11-29 10:06:53	ga_s2bm_ard_3-2-1_54HXF_2020-11-29_final
2020-11-29 10:06:57	ga_s2bm_ard_3-2-1_54HWF_2020-11-29_final
2020-11-29 10:07:00	ga_s2bm_ard_3-2-1_54HVF_2020-11-29_final
2020-11-29 10:07:14	ga_s2bm_ard_3-2-1_54HYD_2020-11-29_final
2020-11-29 10:07:22	ga_s2bm_ard_3-2-1_54HXD_2020-11-29_final
2020-11-29 10:07:26	ga_s2bm_ard_3-2-1_54HWD_2020-11-29_final
2020-11-29 10:07:29	ga_s2bm_ard_3-2-1_54HVD_2020-11-29_final
2020-11-29 10:07:35	ga_s2bm_ard_3-2-1_54HUD_2020-11-29_final.stac-item
2020-11-29 10:07:36	ga_s2bm_ard_3-2-1_54HXC_2020-11-29_final
2020-11-29 10:07:40	ga_s2bm_ard_3-2-1_54HWC_2020-11-29_final

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