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
2019-03-04 12:15:05	ga_s2am_ard_3-2-1_49JGL_2019-03-04_final
2019-03-05 10:01:06	ga_s2am_ard_3-2-1_55LCD_2019-03-05_final
2019-03-05 10:01:08	ga_s2am_ard_3-2-1_55LFC_2019-03-05_final
2019-03-05 10:01:19	ga_s2am_ard_3-2-1_55LCC_2019-03-05_final
2019-03-05 10:01:23	ga_s2am_ard_3-2-1_55KFB_2019-03-05_final
2019-03-05 10:01:27	ga_s2am_ard_3-2-1_55KEB_2019-03-05_final
2019-03-05 10:01:37	ga_s2am_ard_3-2-1_55KFA_2019-03-05_final
2019-03-05 10:01:45	ga_s2am_ard_3-2-1_55KDA_2019-03-05_final
2019-03-05 10:01:48	ga_s2am_ard_3-2-1_55KCA_2019-03-05_final
2019-03-05 10:01:55	ga_s2am_ard_3-2-1_55KEV_2019-03-05_final
2019-03-05 10:01:59	ga_s2am_ard_3-2-1_55KDV_2019-03-05_final
2019-03-05 10:02:25	ga_s2am_ard_3-2-1_55KET_2019-03-05_final
2019-03-05 10:02:34	ga_s2am_ard_3-2-1_55KBT_2019-03-05_final
2019-03-05 10:02:49	ga_s2am_ard_3-2-1_54KZB_2019-03-05_final
2019-03-05 10:02:53	ga_s2am_ard_3-2-1_55KER_2019-03-05_final
2019-03-05 10:02:57	ga_s2am_ard_3-2-1_55KDR_2019-03-05_final
2019-03-05 10:03:15	ga_s2am_ard_3-2-1_55KCQ_2019-03-05_final
2019-03-05 10:03:18	ga_s2am_ard_3-2-1_55KBQ_2019-03-05_final
2019-03-05 10:03:18	ga_s2am_ard_3-2-1_54KZV_2019-03-05_final
2019-03-05 10:03:26	ga_s2am_ard_3-2-1_55KDP_2019-03-05_final
2019-03-05 10:03:30	ga_s2am_ard_3-2-1_55KCP_2019-03-05_final
2019-03-05 10:03:37	ga_s2am_ard_3-2-1_54KYU_2019-03-05_final
2019-03-05 10:03:55	ga_s2am_ard_3-2-1_55JDM_2019-03-05_final
2019-03-05 10:04:13	ga_s2am_ard_3-2-1_55JCL_2019-03-05_final
2019-03-05 10:04:16	ga_s2am_ard_3-2-1_55JBL_2019-03-05_final
2019-03-05 10:04:18	ga_s2am_ard_3-2-1_55JDK_2019-03-05_final
2019-03-05 10:04:20	ga_s2am_ard_3-2-1_54JYR_2019-03-05_final
2019-03-05 10:04:27	ga_s2am_ard_3-2-1_54JXR_2019-03-05_final
2019-03-05 10:04:42	ga_s2am_ard_3-2-1_55JCJ_2019-03-05_final
2019-03-05 10:04:46	ga_s2am_ard_3-2-1_55JBJ_2019-03-05_final
2019-03-05 10:04:49	ga_s2am_ard_3-2-1_54JYP_2019-03-05_final
2019-03-05 10:04:52	ga_s2am_ard_3-2-1_54JXP_2019-03-05_final
2019-03-05 10:05:00	ga_s2am_ard_3-2-1_55JBH_2019-03-05_final
2019-03-05 10:05:03	ga_s2am_ard_3-2-1_54JYN_2019-03-05_final
2019-03-05 10:05:11	ga_s2am_ard_3-2-1_55JCG_2019-03-05_final
2019-03-05 10:05:15	ga_s2am_ard_3-2-1_55JBG_2019-03-05_final
2019-03-05 10:05:17	ga_s2am_ard_3-2-1_54JYM_2019-03-05_final
2019-03-05 10:05:24	ga_s2am_ard_3-2-1_55JCF_2019-03-05_final
2019-03-05 10:05:28	ga_s2am_ard_3-2-1_54JWM_2019-03-05_final
2019-03-05 10:05:39	ga_s2am_ard_3-2-1_54JWL_2019-03-05_final
2019-03-05 10:05:53	ga_s2am_ard_3-2-1_54HWK_2019-03-05_final
2019-03-05 10:05:58	ga_s2am_ard_3-2-1_55HBD_2019-03-05_final
2019-03-05 10:06:13	ga_s2am_ard_3-2-1_55HBC_2019-03-05_final
2019-03-05 10:06:15	ga_s2am_ard_3-2-1_54HYH_2019-03-05_final
2019-03-05 10:06:40	ga_s2am_ard_3-2-1_55HBA_2019-03-05_final
2019-03-05 10:06:44	ga_s2am_ard_3-2-1_54HYF_2019-03-05_final
2019-03-05 10:06:48	ga_s2am_ard_3-2-1_54HXF_2019-03-05_final
2019-03-05 10:06:50	ga_s2am_ard_3-2-1_55HBV_2019-03-05_final
2019-03-05 10:06:52	ga_s2am_ard_3-2-1_54HWF_2019-03-05_final
2019-03-05 10:06:55	ga_s2am_ard_3-2-1_54HVF_2019-03-05_final
2019-03-05 10:06:58	ga_s2am_ard_3-2-1_54HYE_2019-03-05_final
2019-03-05 10:07:09	ga_s2am_ard_3-2-1_54HYD_2019-03-05_final
2019-03-05 10:07:16	ga_s2am_ard_3-2-1_54HXD_2019-03-05_final
2019-03-05 10:07:29	ga_s2am_ard_3-2-1_54HUD_2019-03-05_final.stac-item
2019-03-05 11:41:13	ga_s2am_ard_3-2-1_51LUF_2019-03-05_final
2019-03-05 11:41:42	ga_s2am_ard_3-2-1_51LUD_2019-03-05_final.stac-item
2019-03-05 11:41:50	ga_s2am_ard_3-2-1_51LWC_2019-03-05_final
2019-03-05 11:41:53	ga_s2am_ard_3-2-1_51LVC_2019-03-05_final
2019-03-05 11:42:04	ga_s2am_ard_3-2-1_51KWB_2019-03-05_final
2019-03-05 11:42:08	ga_s2am_ard_3-2-1_51KVB_2019-03-05_final
2019-03-05 11:42:11	ga_s2am_ard_3-2-1_51KUB_2019-03-05_final.stac-item
2019-03-05 11:42:16	ga_s2am_ard_3-2-1_51KWA_2019-03-05_final
2019-03-05 11:42:22	ga_s2am_ard_3-2-1_51KVA_2019-03-05_final
2019-03-05 11:42:26	ga_s2am_ard_3-2-1_51KUA_2019-03-05_final
2019-03-05 11:42:37	ga_s2am_ard_3-2-1_51KVV_2019-03-05_final
2019-03-05 11:42:40	ga_s2am_ard_3-2-1_51KUV_2019-03-05_final
2019-03-05 11:42:58	ga_s2am_ard_3-2-1_51KTU_2019-03-05_final
2019-03-05 11:43:12	ga_s2am_ard_3-2-1_51KTT_2019-03-05_final
2019-03-05 11:43:16	ga_s2am_ard_3-2-1_50KQC_2019-03-05_final
2019-03-05 11:43:31	ga_s2am_ard_3-2-1_51KVR_2019-03-05_final
2019-03-05 11:43:53	ga_s2am_ard_3-2-1_51KUQ_2019-03-05_final
2019-03-05 11:43:56	ga_s2am_ard_3-2-1_51KTQ_2019-03-05_final
2019-03-05 11:43:56	ga_s2am_ard_3-2-1_50KRV_2019-03-05_final
2019-03-05 11:44:00	ga_s2am_ard_3-2-1_50KQV_2019-03-05_final
2019-03-05 11:44:05	ga_s2am_ard_3-2-1_50KPV_2019-03-05_final
2019-03-05 11:44:07	ga_s2am_ard_3-2-1_51KUP_2019-03-05_final
2019-03-05 11:44:11	ga_s2am_ard_3-2-1_51KTP_2019-03-05_final
2019-03-05 11:44:14	ga_s2am_ard_3-2-1_50KQU_2019-03-05_final
2019-03-05 11:44:18	ga_s2am_ard_3-2-1_50KPU_2019-03-05_final
2019-03-05 11:44:46	ga_s2am_ard_3-2-1_51JUL_2019-03-05_final
2019-03-05 11:44:54	ga_s2am_ard_3-2-1_51JTL_2019-03-05_final
2019-03-05 11:44:58	ga_s2am_ard_3-2-1_50JQR_2019-03-05_final
2019-03-05 11:45:01	ga_s2am_ard_3-2-1_50JPR_2019-03-05_final
2019-03-05 11:45:19	ga_s2am_ard_3-2-1_50JNQ_2019-03-05_final
2019-03-05 11:45:24	ga_s2am_ard_3-2-1_51JTJ_2019-03-05_final
2019-03-05 11:45:27	ga_s2am_ard_3-2-1_50JQP_2019-03-05_final
2019-03-05 11:45:30	ga_s2am_ard_3-2-1_50JPP_2019-03-05_final
2019-03-05 11:45:38	ga_s2am_ard_3-2-1_51JTH_2019-03-05_final
2019-03-05 11:45:41	ga_s2am_ard_3-2-1_50JQN_2019-03-05_final
2019-03-05 11:45:48	ga_s2am_ard_3-2-1_50JNN_2019-03-05_final
2019-03-05 11:45:51	ga_s2am_ard_3-2-1_51JTG_2019-03-05_final
2019-03-05 11:45:55	ga_s2am_ard_3-2-1_50JQM_2019-03-05_final
2019-03-05 11:46:03	ga_s2am_ard_3-2-1_50JNM_2019-03-05_final
2019-03-05 11:46:07	ga_s2am_ard_3-2-1_50JMM_2019-03-05_final
2019-03-05 11:46:14	ga_s2am_ard_3-2-1_50JPL_2019-03-05_final
2019-03-05 11:46:17	ga_s2am_ard_3-2-1_50JNL_2019-03-05_final
2019-03-05 11:46:20	ga_s2am_ard_3-2-1_50JML_2019-03-05_final
2019-03-05 11:46:32	ga_s2am_ard_3-2-1_50HNK_2019-03-05_final
2019-03-05 11:46:35	ga_s2am_ard_3-2-1_50HMK_2019-03-05_final
2019-03-05 11:46:48	ga_s2am_ard_3-2-1_50HQH_2019-03-05_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