Search ga_s2am_ard_3 on 5th March 2022

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
2022-03-05 10:19:42	ga_s2am_ard_3-2-1_54LZQ_2022-03-05_final
2022-03-05 10:19:45	ga_s2am_ard_3-2-1_54LYQ_2022-03-05_final
2022-03-05 10:19:48	ga_s2am_ard_3-2-1_54LXQ_2022-03-05_final
2022-03-05 10:19:56	ga_s2am_ard_3-2-1_54LZP_2022-03-05_final
2022-03-05 10:19:59	ga_s2am_ard_3-2-1_54LYP_2022-03-05_final
2022-03-05 10:20:03	ga_s2am_ard_3-2-1_54LXP_2022-03-05_final
2022-03-05 10:20:10	ga_s2am_ard_3-2-1_54LZN_2022-03-05_final
2022-03-05 10:20:14	ga_s2am_ard_3-2-1_54LYN_2022-03-05_final
2022-03-05 10:20:25	ga_s2am_ard_3-2-1_54LZM_2022-03-05_final
2022-03-05 10:20:28	ga_s2am_ard_3-2-1_54LYM_2022-03-05_final
2022-03-05 10:20:32	ga_s2am_ard_3-2-1_54LXM_2022-03-05_final
2022-03-05 10:20:39	ga_s2am_ard_3-2-1_54LZL_2022-03-05_final
2022-03-05 10:20:43	ga_s2am_ard_3-2-1_54LYL_2022-03-05_final
2022-03-05 10:20:46	ga_s2am_ard_3-2-1_54LXL_2022-03-05_final
2022-03-05 10:20:53	ga_s2am_ard_3-2-1_54LZK_2022-03-05_final
2022-03-05 10:20:57	ga_s2am_ard_3-2-1_54LYK_2022-03-05_final
2022-03-05 10:21:01	ga_s2am_ard_3-2-1_54LXK_2022-03-05_final
2022-03-05 10:21:04	ga_s2am_ard_3-2-1_54LWK_2022-03-05_final
2022-03-05 10:21:04	ga_s2am_ard_3-2-1_54LZJ_2022-03-05_final
2022-03-05 10:21:11	ga_s2am_ard_3-2-1_54LYJ_2022-03-05_final
2022-03-05 10:21:15	ga_s2am_ard_3-2-1_54LXJ_2022-03-05_final
2022-03-05 10:21:19	ga_s2am_ard_3-2-1_54LWJ_2022-03-05_final
2022-03-05 10:21:24	ga_s2am_ard_3-2-1_54LVJ_2022-03-05_final.stac-item
2022-03-05 10:21:26	ga_s2am_ard_3-2-1_54LYH_2022-03-05_final
2022-03-05 10:21:30	ga_s2am_ard_3-2-1_54LXH_2022-03-05_final
2022-03-05 10:21:33	ga_s2am_ard_3-2-1_54LWH_2022-03-05_final
2022-03-05 10:21:37	ga_s2am_ard_3-2-1_54LVH_2022-03-05_final
2022-03-05 10:21:55	ga_s2am_ard_3-2-1_54KYF_2022-03-05_final
2022-03-05 10:21:59	ga_s2am_ard_3-2-1_54KXF_2022-03-05_final
2022-03-05 10:22:02	ga_s2am_ard_3-2-1_54KWF_2022-03-05_final
2022-03-05 10:22:05	ga_s2am_ard_3-2-1_54KVF_2022-03-05_final
2022-03-05 10:22:07	ga_s2am_ard_3-2-1_54KYE_2022-03-05_final
2022-03-05 10:22:13	ga_s2am_ard_3-2-1_54KXE_2022-03-05_final
2022-03-05 10:22:17	ga_s2am_ard_3-2-1_54KWE_2022-03-05_final
2022-03-05 10:22:17	ga_s2am_ard_3-2-1_54KYD_2022-03-05_final
2022-03-05 10:22:20	ga_s2am_ard_3-2-1_54KVE_2022-03-05_final
2022-03-05 10:22:27	ga_s2am_ard_3-2-1_54KUE_2022-03-05_final
2022-03-05 10:22:27	ga_s2am_ard_3-2-1_54KXD_2022-03-05_final
2022-03-05 10:22:31	ga_s2am_ard_3-2-1_54KWD_2022-03-05_final
2022-03-05 10:22:34	ga_s2am_ard_3-2-1_54KVD_2022-03-05_final
2022-03-05 10:22:38	ga_s2am_ard_3-2-1_54KUD_2022-03-05_final
2022-03-05 10:22:42	ga_s2am_ard_3-2-1_54KXC_2022-03-05_final
2022-03-05 10:22:46	ga_s2am_ard_3-2-1_54KWC_2022-03-05_final
2022-03-05 10:22:49	ga_s2am_ard_3-2-1_54KVC_2022-03-05_final
2022-03-05 10:22:52	ga_s2am_ard_3-2-1_54KUC_2022-03-05_final
2022-03-05 10:22:57	ga_s2am_ard_3-2-1_54KXB_2022-03-05_final
2022-03-05 10:23:00	ga_s2am_ard_3-2-1_54KWB_2022-03-05_final
2022-03-05 10:23:04	ga_s2am_ard_3-2-1_54KVB_2022-03-05_final
2022-03-05 10:23:07	ga_s2am_ard_3-2-1_54KUB_2022-03-05_final
2022-03-05 10:23:10	ga_s2am_ard_3-2-1_54KXA_2022-03-05_final
2022-03-05 10:23:15	ga_s2am_ard_3-2-1_54KWA_2022-03-05_final
2022-03-05 10:23:18	ga_s2am_ard_3-2-1_54KVA_2022-03-05_final
2022-03-05 10:23:21	ga_s2am_ard_3-2-1_54KXV_2022-03-05_final
2022-03-05 10:23:29	ga_s2am_ard_3-2-1_54KWV_2022-03-05_final
2022-03-05 10:23:33	ga_s2am_ard_3-2-1_54KVV_2022-03-05_final
2022-03-05 10:23:41	ga_s2am_ard_3-2-1_54KTV_2022-03-05_final
2022-03-05 10:23:44	ga_s2am_ard_3-2-1_54KWU_2022-03-05_final
2022-03-05 10:23:47	ga_s2am_ard_3-2-1_54KVU_2022-03-05_final
2022-03-05 10:23:50	ga_s2am_ard_3-2-1_54KUU_2022-03-05_final
2022-03-05 10:24:05	ga_s2am_ard_3-2-1_54JUT_2022-03-05_final
2022-03-05 10:24:12	ga_s2am_ard_3-2-1_54JWS_2022-03-05_final
2022-03-05 10:24:16	ga_s2am_ard_3-2-1_54JVS_2022-03-05_final
2022-03-05 10:24:20	ga_s2am_ard_3-2-1_54JUS_2022-03-05_final
2022-03-05 10:24:23	ga_s2am_ard_3-2-1_54JTS_2022-03-05_final
2022-03-05 10:24:24	ga_s2am_ard_3-2-1_54JWR_2022-03-05_final
2022-03-05 10:24:31	ga_s2am_ard_3-2-1_54JVR_2022-03-05_final
2022-03-05 10:24:34	ga_s2am_ard_3-2-1_54JUR_2022-03-05_final
2022-03-05 10:24:45	ga_s2am_ard_3-2-1_54JVQ_2022-03-05_final
2022-03-05 10:25:00	ga_s2am_ard_3-2-1_54JVP_2022-03-05_final
2022-03-05 10:25:21	ga_s2am_ard_3-2-1_54JTN_2022-03-05_final
2022-03-05 10:25:24	ga_s2am_ard_3-2-1_53JQH_2022-03-05_final
2022-03-05 10:25:39	ga_s2am_ard_3-2-1_54JVL_2022-03-05_final
2022-03-05 10:26:19	ga_s2am_ard_3-2-1_54HTJ_2022-03-05_final
2022-03-05 10:26:21	ga_s2am_ard_3-2-1_53HQD_2022-03-05_final
2022-03-05 10:26:25	ga_s2am_ard_3-2-1_53HPD_2022-03-05_final
2022-03-05 10:26:31	ga_s2am_ard_3-2-1_54HUH_2022-03-05_final
2022-03-05 10:26:40	ga_s2am_ard_3-2-1_53HPC_2022-03-05_final
2022-03-05 10:26:44	ga_s2am_ard_3-2-1_53HNC_2022-03-05_final
2022-03-05 10:26:48	ga_s2am_ard_3-2-1_54HTG_2022-03-05_final
2022-03-05 10:26:50	ga_s2am_ard_3-2-1_53HQB_2022-03-05_final
2022-03-05 10:26:58	ga_s2am_ard_3-2-1_53HNB_2022-03-05_final
2022-03-05 12:03:23	ga_s2am_ard_3-2-1_50KNC_2022-03-05_final
2022-03-05 12:03:27	ga_s2am_ard_3-2-1_50KMC_2022-03-05_final
2022-03-05 12:03:30	ga_s2am_ard_3-2-1_50KLC_2022-03-05_final
2022-03-05 12:03:45	ga_s2am_ard_3-2-1_50KLB_2022-03-05_final
2022-03-05 12:03:48	ga_s2am_ard_3-2-1_50KNA_2022-03-05_final
2022-03-05 12:03:48	ga_s2am_ard_3-2-1_50KKB_2022-03-05_final
2022-03-05 12:03:56	ga_s2am_ard_3-2-1_50KMA_2022-03-05_final
2022-03-05 12:04:10	ga_s2am_ard_3-2-1_50KMV_2022-03-05_final
2022-03-05 12:04:17	ga_s2am_ard_3-2-1_50KKV_2022-03-05_final
2022-03-05 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2022-03-05_final
2022-03-05 12:04:25	ga_s2am_ard_3-2-1_50KMU_2022-03-05_final
2022-03-05 12:04:28	ga_s2am_ard_3-2-1_50KLU_2022-03-05_final
2022-03-05 12:04:43	ga_s2am_ard_3-2-1_50JLT_2022-03-05_final
2022-03-05 12:05:01	ga_s2am_ard_3-2-1_50JKS_2022-03-05_final
2022-03-05 12:05:02	ga_s2am_ard_3-2-1_50JMR_2022-03-05_final
2022-03-05 12:05:03	ga_s2am_ard_3-2-1_49JGM_2022-03-05_final
2022-03-05 12:05:10	ga_s2am_ard_3-2-1_49JGM_2022-03-05_final
2022-03-05 12:05:12	ga_s2am_ard_3-2-1_49JFM_2022-03-05_final
2022-03-05 12:05:59	ga_s2am_ard_3-2-1_50JKN_2022-03-05_final

Return to ga_s2am_ard_3 on 5th March 2022 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

2022

March

5th