Search ga_s2am_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
2019-05-03 10:35:19	ga_s2am_ard_3-2-1_53JMJ_2019-05-03_final
2019-05-03 10:35:19	ga_s2am_ard_3-2-1_53JQH_2019-05-03_final
2019-05-03 10:35:34	ga_s2am_ard_3-2-1_53JQG_2019-05-03_final
2019-05-03 10:35:38	ga_s2am_ard_3-2-1_53JPG_2019-05-03_final
2019-05-03 10:35:41	ga_s2am_ard_3-2-1_53JNG_2019-05-03_final
2019-05-03 10:35:45	ga_s2am_ard_3-2-1_53JMG_2019-05-03_final
2019-05-03 10:35:48	ga_s2am_ard_3-2-1_53JQF_2019-05-03_final
2019-05-03 10:35:56	ga_s2am_ard_3-2-1_53JNF_2019-05-03_final
2019-05-03 10:35:59	ga_s2am_ard_3-2-1_53JMF_2019-05-03_final
2019-05-03 10:36:00	ga_s2am_ard_3-2-1_53HQE_2019-05-03_final
2019-05-03 10:36:06	ga_s2am_ard_3-2-1_53HPE_2019-05-03_final
2019-05-03 10:36:10	ga_s2am_ard_3-2-1_53HNE_2019-05-03_final
2019-05-03 10:36:14	ga_s2am_ard_3-2-1_53HME_2019-05-03_final
2019-05-03 10:36:20	ga_s2am_ard_3-2-1_53HLE_2019-05-03_final
2019-05-03 10:36:28	ga_s2am_ard_3-2-1_53HMD_2019-05-03_final
2019-05-03 10:36:39	ga_s2am_ard_3-2-1_53HNC_2019-05-03_final
2019-05-03 10:36:43	ga_s2am_ard_3-2-1_53HMC_2019-05-03_final.stac-item
2019-05-03 10:37:02	ga_s2am_ard_3-2-1_53HPA_2019-05-03_final
2019-05-03 10:37:12	ga_s2am_ard_3-2-1_53HPV_2019-05-03_final.stac-item
2019-05-03 12:13:44	ga_s2am_ard_3-2-1_49KHS_2019-05-03_final.stac-item
2019-05-03 12:13:58	ga_s2am_ard_3-2-1_50KKA_2019-05-03_final
2019-05-03 12:13:58	ga_s2am_ard_3-2-1_49KHR_2019-05-03_final
2019-05-03 12:14:02	ga_s2am_ard_3-2-1_49KGR_2019-05-03_final
2019-05-03 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2019-05-03_final
2019-05-03 12:14:22	ga_s2am_ard_3-2-1_50KKU_2019-05-03_final
2019-05-03 12:14:31	ga_s2am_ard_3-2-1_49KGP_2019-05-03_final
2019-05-03 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-05-03_final
2019-05-03 12:15:23	ga_s2am_ard_3-2-1_49JGK_2019-05-03_final
2019-05-04 10:01:15	ga_s2am_ard_3-2-1_55LCD_2019-05-04_final
2019-05-04 10:01:21	ga_s2am_ard_3-2-1_55LEC_2019-05-04_final
2019-05-04 10:01:46	ga_s2am_ard_3-2-1_55KFA_2019-05-04_final
2019-05-04 10:01:54	ga_s2am_ard_3-2-1_55KDA_2019-05-04_final
2019-05-04 10:01:57	ga_s2am_ard_3-2-1_55KCA_2019-05-04_final
2019-05-04 10:02:09	ga_s2am_ard_3-2-1_55KFU_2019-05-04_final
2019-05-04 10:02:19	ga_s2am_ard_3-2-1_55KBV_2019-05-04_final
2019-05-04 10:02:19	ga_s2am_ard_3-2-1_55KEU_2019-05-04_final
2019-05-04 10:02:23	ga_s2am_ard_3-2-1_55KDU_2019-05-04_final
2019-05-04 10:02:26	ga_s2am_ard_3-2-1_55KCU_2019-05-04_final
2019-05-04 10:02:30	ga_s2am_ard_3-2-1_55KBU_2019-05-04_final
2019-05-04 10:02:34	ga_s2am_ard_3-2-1_55KET_2019-05-04_final
2019-05-04 10:02:37	ga_s2am_ard_3-2-1_55KDT_2019-05-04_final
2019-05-04 10:02:43	ga_s2am_ard_3-2-1_55KBT_2019-05-04_final
2019-05-04 10:02:45	ga_s2am_ard_3-2-1_54KZC_2019-05-04_final
2019-05-04 10:02:48	ga_s2am_ard_3-2-1_55KES_2019-05-04_final
2019-05-04 10:02:52	ga_s2am_ard_3-2-1_55KDS_2019-05-04_final
2019-05-04 10:02:58	ga_s2am_ard_3-2-1_54KZB_2019-05-04_final
2019-05-04 10:03:02	ga_s2am_ard_3-2-1_55KER_2019-05-04_final
2019-05-04 10:03:10	ga_s2am_ard_3-2-1_55KCR_2019-05-04_final
2019-05-04 10:03:13	ga_s2am_ard_3-2-1_55KEQ_2019-05-04_final
2019-05-04 10:03:13	ga_s2am_ard_3-2-1_55KBR_2019-05-04_final
2019-05-04 10:03:13	ga_s2am_ard_3-2-1_54KZA_2019-05-04_final
2019-05-04 10:03:21	ga_s2am_ard_3-2-1_55KDQ_2019-05-04_final
2019-05-04 10:03:24	ga_s2am_ard_3-2-1_55KCQ_2019-05-04_final
2019-05-04 10:03:35	ga_s2am_ard_3-2-1_55KDP_2019-05-04_final
2019-05-04 10:03:39	ga_s2am_ard_3-2-1_55KCP_2019-05-04_final
2019-05-04 10:03:42	ga_s2am_ard_3-2-1_55KBP_2019-05-04_final
2019-05-04 10:03:46	ga_s2am_ard_3-2-1_54KYU_2019-05-04_final
2019-05-04 10:03:53	ga_s2am_ard_3-2-1_55JCN_2019-05-04_final
2019-05-04 10:04:04	ga_s2am_ard_3-2-1_55JDM_2019-05-04_final
2019-05-04 10:04:11	ga_s2am_ard_3-2-1_54JZS_2019-05-04_final
2019-05-04 10:04:11	ga_s2am_ard_3-2-1_55JBM_2019-05-04_final
2019-05-04 10:04:14	ga_s2am_ard_3-2-1_54JYS_2019-05-04_final
2019-05-04 10:04:17	ga_s2am_ard_3-2-1_55JDL_2019-05-04_final
2019-05-04 10:04:26	ga_s2am_ard_3-2-1_55JBL_2019-05-04_final
2019-05-04 10:04:29	ga_s2am_ard_3-2-1_54JYR_2019-05-04_final
2019-05-04 10:04:47	ga_s2am_ard_3-2-1_54JXQ_2019-05-04_final
2019-05-04 10:04:51	ga_s2am_ard_3-2-1_55JCJ_2019-05-04_final
2019-05-04 10:04:55	ga_s2am_ard_3-2-1_55JBJ_2019-05-04_final
2019-05-04 10:04:58	ga_s2am_ard_3-2-1_54JYP_2019-05-04_final
2019-05-04 10:05:20	ga_s2am_ard_3-2-1_55JCG_2019-05-04_final
2019-05-04 10:05:24	ga_s2am_ard_3-2-1_55JBG_2019-05-04_final
2019-05-04 10:05:27	ga_s2am_ard_3-2-1_54JYM_2019-05-04_final
2019-05-04 10:05:30	ga_s2am_ard_3-2-1_54JXM_2019-05-04_final
2019-05-04 10:05:37	ga_s2am_ard_3-2-1_54JWM_2019-05-04_final
2019-05-04 10:05:41	ga_s2am_ard_3-2-1_54JYL_2019-05-04_final
2019-05-04 10:05:43	ga_s2am_ard_3-2-1_55HCE_2019-05-04_final
2019-05-04 10:05:49	ga_s2am_ard_3-2-1_54JWL_2019-05-04_final
2019-05-04 10:05:53	ga_s2am_ard_3-2-1_55HBE_2019-05-04_final
2019-05-04 10:05:56	ga_s2am_ard_3-2-1_54HYK_2019-05-04_final
2019-05-04 10:05:59	ga_s2am_ard_3-2-1_54HXK_2019-05-04_final
2019-05-04 10:06:03	ga_s2am_ard_3-2-1_54HWK_2019-05-04_final
2019-05-04 10:06:08	ga_s2am_ard_3-2-1_55HBD_2019-05-04_final
2019-05-04 10:06:10	ga_s2am_ard_3-2-1_54HYJ_2019-05-04_final
2019-05-04 10:06:22	ga_s2am_ard_3-2-1_55HBC_2019-05-04_final
2019-05-04 10:06:24	ga_s2am_ard_3-2-1_54HYH_2019-05-04_final
2019-05-04 10:06:32	ga_s2am_ard_3-2-1_54HWH_2019-05-04_final
2019-05-04 10:06:38	ga_s2am_ard_3-2-1_54HVH_2019-05-04_final
2019-05-04 10:06:49	ga_s2am_ard_3-2-1_55HBA_2019-05-04_final
2019-05-04 10:06:53	ga_s2am_ard_3-2-1_54HYF_2019-05-04_final
2019-05-04 10:06:59	ga_s2am_ard_3-2-1_55HBV_2019-05-04_final
2019-05-04 10:07:01	ga_s2am_ard_3-2-1_54HWF_2019-05-04_final
2019-05-04 10:07:04	ga_s2am_ard_3-2-1_54HVF_2019-05-04_final
2019-05-04 10:07:07	ga_s2am_ard_3-2-1_54HYE_2019-05-04_final
2019-05-04 10:07:11	ga_s2am_ard_3-2-1_54HXE_2019-05-04_final
2019-05-04 10:07:15	ga_s2am_ard_3-2-1_54HWE_2019-05-04_final
2019-05-04 10:07:18	ga_s2am_ard_3-2-1_54HYD_2019-05-04_final
2019-05-04 10:07:19	ga_s2am_ard_3-2-1_54HVE_2019-05-04_final
2019-05-04 10:07:26	ga_s2am_ard_3-2-1_54HXD_2019-05-04_final
2019-05-04 10:07:30	ga_s2am_ard_3-2-1_54HWD_2019-05-04_final
2019-05-04 10:07:33	ga_s2am_ard_3-2-1_54HVD_2019-05-04_final

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years