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
2021-06-01 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-06-01_final
2021-06-01 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-06-01_final
2021-06-01 12:15:21	ga_s2am_ard_3-2-1_49JGK_2021-06-01_final
2021-06-02 10:01:12	ga_s2am_ard_3-2-1_55LCD_2021-06-02_final
2021-06-02 10:02:31	ga_s2am_ard_3-2-1_55KET_2021-06-02_final
2021-06-02 10:02:45	ga_s2am_ard_3-2-1_55KES_2021-06-02_final
2021-06-02 10:02:52	ga_s2am_ard_3-2-1_55KCS_2021-06-02_final
2021-06-02 10:02:59	ga_s2am_ard_3-2-1_55KER_2021-06-02_final
2021-06-02 10:03:03	ga_s2am_ard_3-2-1_55KDR_2021-06-02_final
2021-06-02 10:03:10	ga_s2am_ard_3-2-1_55KEQ_2021-06-02_final
2021-06-02 10:03:18	ga_s2am_ard_3-2-1_55KDQ_2021-06-02_final
2021-06-02 10:03:21	ga_s2am_ard_3-2-1_55KCQ_2021-06-02_final
2021-06-02 10:03:24	ga_s2am_ard_3-2-1_55KBQ_2021-06-02_final
2021-06-02 10:03:36	ga_s2am_ard_3-2-1_55KCP_2021-06-02_final
2021-06-02 10:03:43	ga_s2am_ard_3-2-1_54KYU_2021-06-02_final
2021-06-02 10:04:01	ga_s2am_ard_3-2-1_55JDM_2021-06-02_final
2021-06-02 10:04:08	ga_s2am_ard_3-2-1_55JBM_2021-06-02_final
2021-06-02 10:04:12	ga_s2am_ard_3-2-1_54JYS_2021-06-02_final
2021-06-02 10:04:14	ga_s2am_ard_3-2-1_55JDL_2021-06-02_final
2021-06-02 10:04:19	ga_s2am_ard_3-2-1_55JCL_2021-06-02_final
2021-06-02 10:04:26	ga_s2am_ard_3-2-1_54JYR_2021-06-02_final
2021-06-02 10:04:33	ga_s2am_ard_3-2-1_54JXR_2021-06-02_final
2021-06-02 10:04:34	ga_s2am_ard_3-2-1_55JCK_2021-06-02_final
2021-06-02 10:04:37	ga_s2am_ard_3-2-1_55JBK_2021-06-02_final
2021-06-02 10:04:40	ga_s2am_ard_3-2-1_54JYQ_2021-06-02_final
2021-06-02 10:04:44	ga_s2am_ard_3-2-1_54JXQ_2021-06-02_final
2021-06-02 10:04:52	ga_s2am_ard_3-2-1_55JBJ_2021-06-02_final
2021-06-02 10:04:55	ga_s2am_ard_3-2-1_54JYP_2021-06-02_final
2021-06-02 10:05:24	ga_s2am_ard_3-2-1_54JYM_2021-06-02_final
2021-06-02 10:05:28	ga_s2am_ard_3-2-1_54JXM_2021-06-02_final
2021-06-02 10:05:34	ga_s2am_ard_3-2-1_54JWM_2021-06-02_final
2021-06-02 10:05:35	ga_s2am_ard_3-2-1_55JBF_2021-06-02_final
2021-06-02 10:05:40	ga_s2am_ard_3-2-1_55HCE_2021-06-02_final
2021-06-02 10:05:50	ga_s2am_ard_3-2-1_55HBE_2021-06-02_final
2021-06-02 10:05:53	ga_s2am_ard_3-2-1_54HYK_2021-06-02_final
2021-06-02 10:05:56	ga_s2am_ard_3-2-1_54HXK_2021-06-02_final
2021-06-02 10:06:00	ga_s2am_ard_3-2-1_54HWK_2021-06-02_final
2021-06-02 10:06:15	ga_s2am_ard_3-2-1_54HWJ_2021-06-02_final
2021-06-02 10:06:19	ga_s2am_ard_3-2-1_55HBC_2021-06-02_final
2021-06-02 10:06:21	ga_s2am_ard_3-2-1_54HYH_2021-06-02_final
2021-06-02 10:06:25	ga_s2am_ard_3-2-1_54HXH_2021-06-02_final
2021-06-02 10:06:29	ga_s2am_ard_3-2-1_54HWH_2021-06-02_final
2021-06-02 10:06:36	ga_s2am_ard_3-2-1_54HYG_2021-06-02_final
2021-06-02 10:06:46	ga_s2am_ard_3-2-1_55HBA_2021-06-02_final
2021-06-02 10:06:50	ga_s2am_ard_3-2-1_54HYF_2021-06-02_final
2021-06-02 10:06:58	ga_s2am_ard_3-2-1_54HWF_2021-06-02_final
2021-06-02 10:07:01	ga_s2am_ard_3-2-1_54HVF_2021-06-02_final
2021-06-02 10:07:04	ga_s2am_ard_3-2-1_54HYE_2021-06-02_final
2021-06-02 10:07:12	ga_s2am_ard_3-2-1_54HWE_2021-06-02_final
2021-06-02 10:07:15	ga_s2am_ard_3-2-1_54HYD_2021-06-02_final
2021-06-02 10:07:23	ga_s2am_ard_3-2-1_54HXD_2021-06-02_final
2021-06-02 10:07:36	ga_s2am_ard_3-2-1_54HUD_2021-06-02_final.stac-item
2021-06-02 10:07:41	ga_s2am_ard_3-2-1_54HWC_2021-06-02_final
2021-06-02 10:07:45	ga_s2am_ard_3-2-1_54HVC_2021-06-02_final.stac-item
2021-06-02 11:41:48	ga_s2am_ard_3-2-1_51LUD_2021-06-02_final.stac-item
2021-06-02 11:43:26	ga_s2am_ard_3-2-1_51KVS_2021-06-02_final
2021-06-02 11:43:30	ga_s2am_ard_3-2-1_51KUS_2021-06-02_final
2021-06-02 11:43:37	ga_s2am_ard_3-2-1_51KVR_2021-06-02_final
2021-06-02 11:43:59	ga_s2am_ard_3-2-1_51KUQ_2021-06-02_final
2021-06-02 11:44:02	ga_s2am_ard_3-2-1_51KTQ_2021-06-02_final
2021-06-02 11:44:06	ga_s2am_ard_3-2-1_50KQV_2021-06-02_final
2021-06-02 11:44:11	ga_s2am_ard_3-2-1_50KPV_2021-06-02_final
2021-06-02 11:44:14	ga_s2am_ard_3-2-1_51KUP_2021-06-02_final
2021-06-02 11:44:17	ga_s2am_ard_3-2-1_51KTP_2021-06-02_final
2021-06-02 11:44:21	ga_s2am_ard_3-2-1_50KQU_2021-06-02_final
2021-06-02 11:44:24	ga_s2am_ard_3-2-1_50KPU_2021-06-02_final
2021-06-02 11:44:35	ga_s2am_ard_3-2-1_50JQT_2021-06-02_final
2021-06-02 11:44:46	ga_s2am_ard_3-2-1_51JTM_2021-06-02_final
2021-06-02 11:44:50	ga_s2am_ard_3-2-1_50JQS_2021-06-02_final
2021-06-02 11:44:52	ga_s2am_ard_3-2-1_51JUL_2021-06-02_final
2021-06-02 11:45:00	ga_s2am_ard_3-2-1_51JTL_2021-06-02_final
2021-06-02 11:45:04	ga_s2am_ard_3-2-1_50JQR_2021-06-02_final
2021-06-02 11:45:08	ga_s2am_ard_3-2-1_50JPR_2021-06-02_final
2021-06-02 11:45:12	ga_s2am_ard_3-2-1_50JNR_2021-06-02_final
2021-06-02 11:45:15	ga_s2am_ard_3-2-1_51JTK_2021-06-02_final
2021-06-02 11:45:18	ga_s2am_ard_3-2-1_50JQQ_2021-06-02_final
2021-06-02 11:45:22	ga_s2am_ard_3-2-1_50JPQ_2021-06-02_final
2021-06-02 11:45:25	ga_s2am_ard_3-2-1_50JNQ_2021-06-02_final
2021-06-02 11:45:30	ga_s2am_ard_3-2-1_51JTJ_2021-06-02_final
2021-06-02 11:45:33	ga_s2am_ard_3-2-1_50JQP_2021-06-02_final
2021-06-02 11:45:40	ga_s2am_ard_3-2-1_50JNP_2021-06-02_final
2021-06-02 11:45:44	ga_s2am_ard_3-2-1_51JTH_2021-06-02_final
2021-06-02 11:45:58	ga_s2am_ard_3-2-1_51JTG_2021-06-02_final
2021-06-02 11:46:01	ga_s2am_ard_3-2-1_50JQM_2021-06-02_final
2021-06-02 11:46:06	ga_s2am_ard_3-2-1_50JPM_2021-06-02_final
2021-06-02 11:46:08	ga_s2am_ard_3-2-1_51JTF_2021-06-02_final
2021-06-02 11:46:09	ga_s2am_ard_3-2-1_50JNM_2021-06-02_final
2021-06-02 11:46:13	ga_s2am_ard_3-2-1_50JMM_2021-06-02_final
2021-06-02 11:46:16	ga_s2am_ard_3-2-1_50JQL_2021-06-02_final
2021-06-02 11:46:31	ga_s2am_ard_3-2-1_50HQK_2021-06-02_final
2021-06-02 11:46:34	ga_s2am_ard_3-2-1_50HPK_2021-06-02_final
2021-06-02 11:46:38	ga_s2am_ard_3-2-1_50HNK_2021-06-02_final
2021-06-02 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-06-02_final
2021-06-02 11:46:53	ga_s2am_ard_3-2-1_50HNJ_2021-06-02_final
2021-06-02 11:46:54	ga_s2am_ard_3-2-1_50HQH_2021-06-02_final
2021-06-02 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-06-02_final
2021-06-02 11:47:07	ga_s2am_ard_3-2-1_50HNH_2021-06-02_final
2021-06-02 11:47:11	ga_s2am_ard_3-2-1_50HMH_2021-06-02_final
2021-06-02 11:47:15	ga_s2am_ard_3-2-1_50HLH_2021-06-02_final
2021-06-02 11:47:22	ga_s2am_ard_3-2-1_50HNG_2021-06-02_final.stac-item

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