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
2021-04-16 10:10:54	ga_s2am_ard_3-2-1_54LYK_2021-04-16_final
2021-04-16 10:11:03	ga_s2am_ard_3-2-1_54LZJ_2021-04-16_final
2021-04-16 10:11:07	ga_s2am_ard_3-2-1_54LYJ_2021-04-16_final
2021-04-16 10:11:18	ga_s2am_ard_3-2-1_54LZH_2021-04-16_final
2021-04-16 10:11:21	ga_s2am_ard_3-2-1_54LYH_2021-04-16_final
2021-04-16 10:11:32	ga_s2am_ard_3-2-1_54KZG_2021-04-16_final
2021-04-16 10:11:36	ga_s2am_ard_3-2-1_54KYG_2021-04-16_final
2021-04-16 10:11:47	ga_s2am_ard_3-2-1_54KZF_2021-04-16_final
2021-04-16 10:11:50	ga_s2am_ard_3-2-1_54KYF_2021-04-16_final
2021-04-16 10:11:56	ga_s2am_ard_3-2-1_54KXF_2021-04-16_final
2021-04-16 10:12:01	ga_s2am_ard_3-2-1_54KZE_2021-04-16_final
2021-04-16 10:12:04	ga_s2am_ard_3-2-1_54KYE_2021-04-16_final
2021-04-16 10:12:08	ga_s2am_ard_3-2-1_54KXE_2021-04-16_final
2021-04-16 10:12:15	ga_s2am_ard_3-2-1_54KZD_2021-04-16_final
2021-04-16 10:12:19	ga_s2am_ard_3-2-1_54KYD_2021-04-16_final
2021-04-16 10:12:22	ga_s2am_ard_3-2-1_54KXD_2021-04-16_final
2021-04-16 10:12:30	ga_s2am_ard_3-2-1_54KZC_2021-04-16_final
2021-04-16 10:12:33	ga_s2am_ard_3-2-1_54KYC_2021-04-16_final
2021-04-16 10:12:37	ga_s2am_ard_3-2-1_54KXC_2021-04-16_final
2021-04-16 10:12:44	ga_s2am_ard_3-2-1_54KZB_2021-04-16_final
2021-04-16 10:12:48	ga_s2am_ard_3-2-1_54KYB_2021-04-16_final
2021-04-16 10:12:51	ga_s2am_ard_3-2-1_54KXB_2021-04-16_final
2021-04-16 10:12:58	ga_s2am_ard_3-2-1_54KWB_2021-04-16_final
2021-04-16 10:12:58	ga_s2am_ard_3-2-1_54KZA_2021-04-16_final
2021-04-16 10:13:02	ga_s2am_ard_3-2-1_54KYA_2021-04-16_final
2021-04-16 10:13:06	ga_s2am_ard_3-2-1_54KXA_2021-04-16_final
2021-04-16 10:13:10	ga_s2am_ard_3-2-1_54KWA_2021-04-16_final
2021-04-16 10:13:13	ga_s2am_ard_3-2-1_54KZV_2021-04-16_final
2021-04-16 10:13:17	ga_s2am_ard_3-2-1_54KYV_2021-04-16_final
2021-04-16 10:13:20	ga_s2am_ard_3-2-1_54KXV_2021-04-16_final
2021-04-16 10:13:23	ga_s2am_ard_3-2-1_54KWV_2021-04-16_final
2021-04-16 10:13:27	ga_s2am_ard_3-2-1_54KZU_2021-04-16_final
2021-04-16 10:13:31	ga_s2am_ard_3-2-1_54KYU_2021-04-16_final
2021-04-16 10:13:35	ga_s2am_ard_3-2-1_54KXU_2021-04-16_final
2021-04-16 10:13:38	ga_s2am_ard_3-2-1_54KWU_2021-04-16_final
2021-04-16 10:13:39	ga_s2am_ard_3-2-1_54JZT_2021-04-16_final
2021-04-16 10:13:46	ga_s2am_ard_3-2-1_54JYT_2021-04-16_final
2021-04-16 10:13:49	ga_s2am_ard_3-2-1_54JXT_2021-04-16_final
2021-04-16 10:13:53	ga_s2am_ard_3-2-1_54JWT_2021-04-16_final
2021-04-16 10:14:00	ga_s2am_ard_3-2-1_54JVT_2021-04-16_final
2021-04-16 10:14:00	ga_s2am_ard_3-2-1_54JYS_2021-04-16_final
2021-04-16 10:14:04	ga_s2am_ard_3-2-1_54JXS_2021-04-16_final
2021-04-16 10:14:07	ga_s2am_ard_3-2-1_54JWS_2021-04-16_final
2021-04-16 10:14:11	ga_s2am_ard_3-2-1_54JVS_2021-04-16_final
2021-04-16 10:14:15	ga_s2am_ard_3-2-1_54JYR_2021-04-16_final
2021-04-16 10:14:18	ga_s2am_ard_3-2-1_54JXR_2021-04-16_final
2021-04-16 10:14:22	ga_s2am_ard_3-2-1_54JWR_2021-04-16_final
2021-04-16 10:14:25	ga_s2am_ard_3-2-1_54JVR_2021-04-16_final
2021-04-16 10:14:29	ga_s2am_ard_3-2-1_54JYQ_2021-04-16_final
2021-04-16 10:14:33	ga_s2am_ard_3-2-1_54JXQ_2021-04-16_final
2021-04-16 10:14:36	ga_s2am_ard_3-2-1_54JWQ_2021-04-16_final
2021-04-16 10:14:40	ga_s2am_ard_3-2-1_54JVQ_2021-04-16_final
2021-04-16 10:14:42	ga_s2am_ard_3-2-1_54JYP_2021-04-16_final
2021-04-16 10:14:47	ga_s2am_ard_3-2-1_54JXP_2021-04-16_final
2021-04-16 10:14:51	ga_s2am_ard_3-2-1_54JWP_2021-04-16_final
2021-04-16 10:14:51	ga_s2am_ard_3-2-1_54JYN_2021-04-16_final
2021-04-16 10:14:54	ga_s2am_ard_3-2-1_54JVP_2021-04-16_final
2021-04-16 10:15:02	ga_s2am_ard_3-2-1_54JXN_2021-04-16_final
2021-04-16 10:15:02	ga_s2am_ard_3-2-1_54JUP_2021-04-16_final
2021-04-16 10:15:06	ga_s2am_ard_3-2-1_54JWN_2021-04-16_final
2021-04-16 10:15:09	ga_s2am_ard_3-2-1_54JVN_2021-04-16_final
2021-04-16 10:15:13	ga_s2am_ard_3-2-1_54JUN_2021-04-16_final
2021-04-16 10:15:16	ga_s2am_ard_3-2-1_54JXM_2021-04-16_final
2021-04-16 10:15:20	ga_s2am_ard_3-2-1_54JWM_2021-04-16_final
2021-04-16 10:15:23	ga_s2am_ard_3-2-1_54JVM_2021-04-16_final
2021-04-16 10:15:26	ga_s2am_ard_3-2-1_54JUM_2021-04-16_final
2021-04-16 10:15:31	ga_s2am_ard_3-2-1_54JXL_2021-04-16_final
2021-04-16 10:15:34	ga_s2am_ard_3-2-1_54JWL_2021-04-16_final
2021-04-16 10:15:38	ga_s2am_ard_3-2-1_54JVL_2021-04-16_final
2021-04-16 10:15:41	ga_s2am_ard_3-2-1_54JUL_2021-04-16_final
2021-04-16 10:15:44	ga_s2am_ard_3-2-1_54HXK_2021-04-16_final
2021-04-16 10:15:49	ga_s2am_ard_3-2-1_54HWK_2021-04-16_final
2021-04-16 10:15:52	ga_s2am_ard_3-2-1_54HVK_2021-04-16_final
2021-04-16 10:15:54	ga_s2am_ard_3-2-1_54HXJ_2021-04-16_final
2021-04-16 10:15:56	ga_s2am_ard_3-2-1_54HUK_2021-04-16_final
2021-04-16 10:16:03	ga_s2am_ard_3-2-1_54HWJ_2021-04-16_final
2021-04-16 10:16:07	ga_s2am_ard_3-2-1_54HVJ_2021-04-16_final
2021-04-16 10:16:10	ga_s2am_ard_3-2-1_54HUJ_2021-04-16_final
2021-04-16 10:16:15	ga_s2am_ard_3-2-1_54HTJ_2021-04-16_final
2021-04-16 10:16:18	ga_s2am_ard_3-2-1_54HWH_2021-04-16_final
2021-04-16 10:16:21	ga_s2am_ard_3-2-1_54HVH_2021-04-16_final
2021-04-16 10:16:25	ga_s2am_ard_3-2-1_54HUH_2021-04-16_final
2021-04-16 10:16:28	ga_s2am_ard_3-2-1_54HTH_2021-04-16_final
2021-04-16 10:16:32	ga_s2am_ard_3-2-1_54HWG_2021-04-16_final
2021-04-16 10:16:36	ga_s2am_ard_3-2-1_54HVG_2021-04-16_final
2021-04-16 10:16:39	ga_s2am_ard_3-2-1_54HUG_2021-04-16_final
2021-04-16 10:16:43	ga_s2am_ard_3-2-1_54HTG_2021-04-16_final
2021-04-16 10:16:46	ga_s2am_ard_3-2-1_53HQB_2021-04-16_final
2021-04-16 10:16:46	ga_s2am_ard_3-2-1_54HWF_2021-04-16_final
2021-04-16 10:16:50	ga_s2am_ard_3-2-1_54HVF_2021-04-16_final
2021-04-16 10:16:54	ga_s2am_ard_3-2-1_54HUF_2021-04-16_final
2021-04-16 10:16:57	ga_s2am_ard_3-2-1_54HTF_2021-04-16_final
2021-04-16 10:16:57	ga_s2am_ard_3-2-1_54HWE_2021-04-16_final
2021-04-16 10:16:58	ga_s2am_ard_3-2-1_53HQA_2021-04-16_final
2021-04-16 10:17:05	ga_s2am_ard_3-2-1_54HVE_2021-04-16_final
2021-04-16 10:17:09	ga_s2am_ard_3-2-1_54HUE_2021-04-16_final.stac-item
2021-04-16 10:17:12	ga_s2am_ard_3-2-1_54HTE_2021-04-16_final.stac-item
2021-04-16 10:17:13	ga_s2am_ard_3-2-1_53HQV_2021-04-16_final.stac-item
2021-04-16 10:17:19	ga_s2am_ard_3-2-1_54HVD_2021-04-16_final
2021-04-16 10:17:23	ga_s2am_ard_3-2-1_54HUD_2021-04-16_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