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
2020-10-14 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-10-14_final
2020-10-14 12:15:25	ga_s2am_ard_3-2-1_49JGK_2020-10-14_final
2020-10-15 10:01:17	ga_s2am_ard_3-2-1_55LCD_2020-10-15_final
2020-10-15 10:02:21	ga_s2am_ard_3-2-1_55KEU_2020-10-15_final
2020-10-15 10:02:25	ga_s2am_ard_3-2-1_55KDU_2020-10-15_final
2020-10-15 10:02:32	ga_s2am_ard_3-2-1_55KBU_2020-10-15_final
2020-10-15 10:02:36	ga_s2am_ard_3-2-1_55KET_2020-10-15_final
2020-10-15 10:02:39	ga_s2am_ard_3-2-1_55KDT_2020-10-15_final
2020-10-15 10:02:57	ga_s2am_ard_3-2-1_55KCS_2020-10-15_final
2020-10-15 10:03:00	ga_s2am_ard_3-2-1_55KBS_2020-10-15_final
2020-10-15 10:03:04	ga_s2am_ard_3-2-1_55KER_2020-10-15_final
2020-10-15 10:03:08	ga_s2am_ard_3-2-1_55KDR_2020-10-15_final
2020-10-15 10:03:29	ga_s2am_ard_3-2-1_55KBQ_2020-10-15_final
2020-10-15 10:03:37	ga_s2am_ard_3-2-1_54KYV_2020-10-15_final
2020-10-15 10:03:41	ga_s2am_ard_3-2-1_55KCP_2020-10-15_final
2020-10-15 10:04:19	ga_s2am_ard_3-2-1_55JDL_2020-10-15_final
2020-10-15 10:04:24	ga_s2am_ard_3-2-1_55JCL_2020-10-15_final
2020-10-15 10:04:28	ga_s2am_ard_3-2-1_55JBL_2020-10-15_final
2020-10-15 10:04:29	ga_s2am_ard_3-2-1_55JDK_2020-10-15_final
2020-10-15 10:04:31	ga_s2am_ard_3-2-1_54JYR_2020-10-15_final
2020-10-15 10:04:38	ga_s2am_ard_3-2-1_54JXR_2020-10-15_final
2020-10-15 10:04:39	ga_s2am_ard_3-2-1_55JCK_2020-10-15_final
2020-10-15 10:04:42	ga_s2am_ard_3-2-1_55JBK_2020-10-15_final
2020-10-15 10:04:45	ga_s2am_ard_3-2-1_54JYQ_2020-10-15_final
2020-10-15 10:04:53	ga_s2am_ard_3-2-1_55JCJ_2020-10-15_final
2020-10-15 10:04:57	ga_s2am_ard_3-2-1_55JBJ_2020-10-15_final
2020-10-15 10:05:00	ga_s2am_ard_3-2-1_54JYP_2020-10-15_final
2020-10-15 10:05:03	ga_s2am_ard_3-2-1_54JXP_2020-10-15_final
2020-10-15 10:05:08	ga_s2am_ard_3-2-1_55JCH_2020-10-15_final
2020-10-15 10:05:14	ga_s2am_ard_3-2-1_54JYN_2020-10-15_final
2020-10-15 10:05:18	ga_s2am_ard_3-2-1_54JXN_2020-10-15_final
2020-10-15 10:05:22	ga_s2am_ard_3-2-1_55JCG_2020-10-15_final
2020-10-15 10:05:26	ga_s2am_ard_3-2-1_55JBG_2020-10-15_final
2020-10-15 10:05:29	ga_s2am_ard_3-2-1_54JYM_2020-10-15_final
2020-10-15 10:05:32	ga_s2am_ard_3-2-1_54JXM_2020-10-15_final
2020-10-15 10:05:34	ga_s2am_ard_3-2-1_55JCF_2020-10-15_final
2020-10-15 10:05:39	ga_s2am_ard_3-2-1_54JWM_2020-10-15_final
2020-10-15 10:05:40	ga_s2am_ard_3-2-1_55JBF_2020-10-15_final
2020-10-15 10:05:43	ga_s2am_ard_3-2-1_54JYL_2020-10-15_final
2020-10-15 10:05:47	ga_s2am_ard_3-2-1_54JXL_2020-10-15_final
2020-10-15 10:06:01	ga_s2am_ard_3-2-1_54HXK_2020-10-15_final
2020-10-15 10:06:05	ga_s2am_ard_3-2-1_54HWK_2020-10-15_final
2020-10-15 10:06:26	ga_s2am_ard_3-2-1_54HYH_2020-10-15_final
2020-10-15 10:06:30	ga_s2am_ard_3-2-1_54HXH_2020-10-15_final
2020-10-15 10:06:45	ga_s2am_ard_3-2-1_54HXG_2020-10-15_final
2020-10-15 10:06:51	ga_s2am_ard_3-2-1_55HBA_2020-10-15_final
2020-10-15 10:06:55	ga_s2am_ard_3-2-1_54HYF_2020-10-15_final
2020-10-15 10:06:59	ga_s2am_ard_3-2-1_54HXF_2020-10-15_final
2020-10-15 10:07:01	ga_s2am_ard_3-2-1_55HBV_2020-10-15_final
2020-10-15 10:07:03	ga_s2am_ard_3-2-1_54HWF_2020-10-15_final
2020-10-15 10:07:06	ga_s2am_ard_3-2-1_54HVF_2020-10-15_final
2020-10-15 10:07:09	ga_s2am_ard_3-2-1_54HYE_2020-10-15_final
2020-10-15 10:07:13	ga_s2am_ard_3-2-1_54HXE_2020-10-15_final
2020-10-15 10:07:17	ga_s2am_ard_3-2-1_54HWE_2020-10-15_final
2020-10-15 10:07:21	ga_s2am_ard_3-2-1_54HVE_2020-10-15_final
2020-10-15 10:07:32	ga_s2am_ard_3-2-1_54HWD_2020-10-15_final
2020-10-15 10:07:35	ga_s2am_ard_3-2-1_54HVD_2020-10-15_final
2020-10-15 10:07:42	ga_s2am_ard_3-2-1_54HXC_2020-10-15_final
2020-10-15 10:07:46	ga_s2am_ard_3-2-1_54HWC_2020-10-15_final
2020-10-15 11:41:24	ga_s2am_ard_3-2-1_51LUF_2020-10-15_final
2020-10-15 11:41:53	ga_s2am_ard_3-2-1_51LUD_2020-10-15_final.stac-item
2020-10-15 11:43:02	ga_s2am_ard_3-2-1_51KVU_2020-10-15_final
2020-10-15 11:43:09	ga_s2am_ard_3-2-1_51KTU_2020-10-15_final
2020-10-15 11:43:14	ga_s2am_ard_3-2-1_50KQD_2020-10-15_final.stac-item
2020-10-15 11:43:17	ga_s2am_ard_3-2-1_51KVT_2020-10-15_final
2020-10-15 11:43:35	ga_s2am_ard_3-2-1_51KUS_2020-10-15_final
2020-10-15 11:43:38	ga_s2am_ard_3-2-1_51KTS_2020-10-15_final
2020-10-15 11:43:41	ga_s2am_ard_3-2-1_51KVR_2020-10-15_final
2020-10-15 11:43:42	ga_s2am_ard_3-2-1_50KQB_2020-10-15_final
2020-10-15 11:44:07	ga_s2am_ard_3-2-1_51KTQ_2020-10-15_final
2020-10-15 11:44:11	ga_s2am_ard_3-2-1_50KQV_2020-10-15_final
2020-10-15 11:44:19	ga_s2am_ard_3-2-1_51KUP_2020-10-15_final
2020-10-15 11:44:29	ga_s2am_ard_3-2-1_50KPU_2020-10-15_final
2020-10-15 11:45:09	ga_s2am_ard_3-2-1_50JQR_2020-10-15_final
2020-10-15 11:45:12	ga_s2am_ard_3-2-1_50JPR_2020-10-15_final
2020-10-15 11:45:17	ga_s2am_ard_3-2-1_50JNR_2020-10-15_final
2020-10-15 11:45:20	ga_s2am_ard_3-2-1_51JTK_2020-10-15_final
2020-10-15 11:45:23	ga_s2am_ard_3-2-1_50JQQ_2020-10-15_final
2020-10-15 11:45:30	ga_s2am_ard_3-2-1_50JNQ_2020-10-15_final
2020-10-15 11:45:35	ga_s2am_ard_3-2-1_51JTJ_2020-10-15_final
2020-10-15 11:45:38	ga_s2am_ard_3-2-1_50JQP_2020-10-15_final
2020-10-15 11:45:42	ga_s2am_ard_3-2-1_50JPP_2020-10-15_final
2020-10-15 11:45:45	ga_s2am_ard_3-2-1_50JNP_2020-10-15_final
2020-10-15 11:45:52	ga_s2am_ard_3-2-1_50JQN_2020-10-15_final
2020-10-15 11:45:56	ga_s2am_ard_3-2-1_50JPN_2020-10-15_final
2020-10-15 11:46:00	ga_s2am_ard_3-2-1_50JNN_2020-10-15_final
2020-10-15 11:46:06	ga_s2am_ard_3-2-1_50JQM_2020-10-15_final
2020-10-15 11:46:11	ga_s2am_ard_3-2-1_50JPM_2020-10-15_final
2020-10-15 11:46:13	ga_s2am_ard_3-2-1_51JTF_2020-10-15_final
2020-10-15 11:46:14	ga_s2am_ard_3-2-1_50JNM_2020-10-15_final
2020-10-15 11:46:18	ga_s2am_ard_3-2-1_50JMM_2020-10-15_final
2020-10-15 11:46:21	ga_s2am_ard_3-2-1_50JQL_2020-10-15_final
2020-10-15 11:46:25	ga_s2am_ard_3-2-1_50JPL_2020-10-15_final
2020-10-15 11:46:39	ga_s2am_ard_3-2-1_50HPK_2020-10-15_final
2020-10-15 11:46:43	ga_s2am_ard_3-2-1_50HNK_2020-10-15_final
2020-10-15 11:46:46	ga_s2am_ard_3-2-1_50HMK_2020-10-15_final
2020-10-15 11:46:59	ga_s2am_ard_3-2-1_50HQH_2020-10-15_final
2020-10-15 11:47:08	ga_s2am_ard_3-2-1_50HPH_2020-10-15_final
2020-10-15 11:47:20	ga_s2am_ard_3-2-1_50HLH_2020-10-15_final
2020-10-15 11:47:23	ga_s2am_ard_3-2-1_50HPG_2020-10-15_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