Search ga_s2am_ard_3 on 14th May 2020

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
2020-05-14 10:19:43	ga_s2am_ard_3-2-1_54LZQ_2020-05-14_final
2020-05-14 10:19:46	ga_s2am_ard_3-2-1_54LYQ_2020-05-14_final
2020-05-14 10:19:49	ga_s2am_ard_3-2-1_54LXQ_2020-05-14_final
2020-05-14 10:19:57	ga_s2am_ard_3-2-1_54LZP_2020-05-14_final
2020-05-14 10:20:00	ga_s2am_ard_3-2-1_54LYP_2020-05-14_final
2020-05-14 10:20:04	ga_s2am_ard_3-2-1_54LXP_2020-05-14_final
2020-05-14 10:20:11	ga_s2am_ard_3-2-1_54LZN_2020-05-14_final
2020-05-14 10:20:15	ga_s2am_ard_3-2-1_54LYN_2020-05-14_final
2020-05-14 10:20:18	ga_s2am_ard_3-2-1_54LXN_2020-05-14_final
2020-05-14 10:20:23	ga_s2am_ard_3-2-1_54LWN_2020-05-14_final
2020-05-14 10:20:26	ga_s2am_ard_3-2-1_54LZM_2020-05-14_final
2020-05-14 10:20:29	ga_s2am_ard_3-2-1_54LYM_2020-05-14_final
2020-05-14 10:20:33	ga_s2am_ard_3-2-1_54LXM_2020-05-14_final
2020-05-14 10:20:40	ga_s2am_ard_3-2-1_54LZL_2020-05-14_final
2020-05-14 10:20:44	ga_s2am_ard_3-2-1_54LYL_2020-05-14_final
2020-05-14 10:21:02	ga_s2am_ard_3-2-1_54LXK_2020-05-14_final
2020-05-14 10:21:05	ga_s2am_ard_3-2-1_54LWK_2020-05-14_final
2020-05-14 10:21:27	ga_s2am_ard_3-2-1_54LYH_2020-05-14_final
2020-05-14 10:22:00	ga_s2am_ard_3-2-1_54KXF_2020-05-14_final
2020-05-14 10:22:29	ga_s2am_ard_3-2-1_54KXD_2020-05-14_final
2020-05-14 10:22:32	ga_s2am_ard_3-2-1_54KWD_2020-05-14_final
2020-05-14 10:22:36	ga_s2am_ard_3-2-1_54KVD_2020-05-14_final
2020-05-14 10:22:39	ga_s2am_ard_3-2-1_54KUD_2020-05-14_final
2020-05-14 10:22:43	ga_s2am_ard_3-2-1_54KXC_2020-05-14_final
2020-05-14 10:22:47	ga_s2am_ard_3-2-1_54KWC_2020-05-14_final
2020-05-14 10:22:50	ga_s2am_ard_3-2-1_54KVC_2020-05-14_final
2020-05-14 10:22:53	ga_s2am_ard_3-2-1_54KUC_2020-05-14_final
2020-05-14 10:22:58	ga_s2am_ard_3-2-1_54KXB_2020-05-14_final
2020-05-14 10:23:01	ga_s2am_ard_3-2-1_54KWB_2020-05-14_final
2020-05-14 10:23:08	ga_s2am_ard_3-2-1_54KUB_2020-05-14_final
2020-05-14 10:23:11	ga_s2am_ard_3-2-1_54KXA_2020-05-14_final
2020-05-14 10:23:22	ga_s2am_ard_3-2-1_54KUA_2020-05-14_final
2020-05-14 10:23:30	ga_s2am_ard_3-2-1_54KWV_2020-05-14_final
2020-05-14 10:23:34	ga_s2am_ard_3-2-1_54KVV_2020-05-14_final
2020-05-14 10:23:37	ga_s2am_ard_3-2-1_54KUV_2020-05-14_final
2020-05-14 10:23:45	ga_s2am_ard_3-2-1_54KWU_2020-05-14_final
2020-05-14 10:23:48	ga_s2am_ard_3-2-1_54KVU_2020-05-14_final
2020-05-14 10:24:13	ga_s2am_ard_3-2-1_54JWS_2020-05-14_final
2020-05-14 10:24:17	ga_s2am_ard_3-2-1_54JVS_2020-05-14_final
2020-05-14 10:24:24	ga_s2am_ard_3-2-1_54JTS_2020-05-14_final
2020-05-14 10:24:25	ga_s2am_ard_3-2-1_54JWR_2020-05-14_final
2020-05-14 10:24:32	ga_s2am_ard_3-2-1_54JVR_2020-05-14_final
2020-05-14 10:24:39	ga_s2am_ard_3-2-1_54JTR_2020-05-14_final
2020-05-14 10:24:44	ga_s2am_ard_3-2-1_53JQL_2020-05-14_final
2020-05-14 10:24:53	ga_s2am_ard_3-2-1_54JTQ_2020-05-14_final
2020-05-14 10:24:56	ga_s2am_ard_3-2-1_53JQK_2020-05-14_final
2020-05-14 10:25:01	ga_s2am_ard_3-2-1_54JVP_2020-05-14_final
2020-05-14 10:25:04	ga_s2am_ard_3-2-1_54JUP_2020-05-14_final
2020-05-14 10:25:08	ga_s2am_ard_3-2-1_54JTP_2020-05-14_final
2020-05-14 10:25:10	ga_s2am_ard_3-2-1_53JQJ_2020-05-14_final
2020-05-14 10:25:16	ga_s2am_ard_3-2-1_54JVN_2020-05-14_final
2020-05-14 10:25:25	ga_s2am_ard_3-2-1_53JQH_2020-05-14_final
2020-05-14 10:25:29	ga_s2am_ard_3-2-1_54JVM_2020-05-14_final
2020-05-14 10:25:33	ga_s2am_ard_3-2-1_54JUM_2020-05-14_final
2020-05-14 10:25:37	ga_s2am_ard_3-2-1_54JTM_2020-05-14_final
2020-05-14 10:25:39	ga_s2am_ard_3-2-1_53JQG_2020-05-14_final
2020-05-14 10:25:40	ga_s2am_ard_3-2-1_54JVL_2020-05-14_final
2020-05-14 10:25:45	ga_s2am_ard_3-2-1_53JPG_2020-05-14_final
2020-05-14 10:25:48	ga_s2am_ard_3-2-1_54JUL_2020-05-14_final
2020-05-14 10:25:51	ga_s2am_ard_3-2-1_54JTL_2020-05-14_final
2020-05-14 10:25:54	ga_s2am_ard_3-2-1_53JQF_2020-05-14_final
2020-05-14 10:25:57	ga_s2am_ard_3-2-1_53JPF_2020-05-14_final
2020-05-14 10:26:02	ga_s2am_ard_3-2-1_54HUK_2020-05-14_final
2020-05-14 10:26:08	ga_s2am_ard_3-2-1_53HQE_2020-05-14_final
2020-05-14 10:26:12	ga_s2am_ard_3-2-1_53HPE_2020-05-14_final
2020-05-14 10:26:35	ga_s2am_ard_3-2-1_54HTH_2020-05-14_final
2020-05-14 10:26:37	ga_s2am_ard_3-2-1_53HQC_2020-05-14_final
2020-05-14 10:26:55	ga_s2am_ard_3-2-1_54HUF_2020-05-14_final
2020-05-14 10:27:04	ga_s2am_ard_3-2-1_54HTF_2020-05-14_final
2020-05-14 10:27:10	ga_s2am_ard_3-2-1_53HPA_2020-05-14_final
2020-05-14 10:27:17	ga_s2am_ard_3-2-1_54HTE_2020-05-14_final.stac-item
2020-05-14 10:27:18	ga_s2am_ard_3-2-1_53HQV_2020-05-14_final.stac-item
2020-05-14 10:27:20	ga_s2am_ard_3-2-1_53HPV_2020-05-14_final.stac-item
2020-05-14 12:03:25	ga_s2am_ard_3-2-1_50KNC_2020-05-14_final
2020-05-14 12:03:28	ga_s2am_ard_3-2-1_50KMC_2020-05-14_final
2020-05-14 12:03:31	ga_s2am_ard_3-2-1_50KLC_2020-05-14_final
2020-05-14 12:03:46	ga_s2am_ard_3-2-1_50KLB_2020-05-14_final
2020-05-14 12:03:49	ga_s2am_ard_3-2-1_50KKB_2020-05-14_final
2020-05-14 12:04:01	ga_s2am_ard_3-2-1_50KLA_2020-05-14_final
2020-05-14 12:04:08	ga_s2am_ard_3-2-1_50KLA_2020-05-14_final
2020-05-14 12:04:08	ga_s2am_ard_3-2-1_50KMV_2020-05-14_final
2020-05-14 12:04:12	ga_s2am_ard_3-2-1_50KKV_2020-05-14_final.stac-item
2020-05-14 12:04:13	ga_s2am_ard_3-2-1_50KMV_2020-05-14_final
2020-05-14 12:04:15	ga_s2am_ard_3-2-1_50KLV_2020-05-14_final
2020-05-14 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2020-05-14_final
2020-05-14 12:04:26	ga_s2am_ard_3-2-1_50KMU_2020-05-14_final
2020-05-14 12:04:30	ga_s2am_ard_3-2-1_50KLU_2020-05-14_final
2020-05-14 12:04:53	ga_s2am_ard_3-2-1_50JMS_2020-05-14_final
2020-05-14 12:05:02	ga_s2am_ard_3-2-1_50JKS_2020-05-14_final
2020-05-14 12:05:03	ga_s2am_ard_3-2-1_50JMR_2020-05-14_final
2020-05-14 12:05:05	ga_s2am_ard_3-2-1_49JGM_2020-05-14_final
2020-05-14 12:05:17	ga_s2am_ard_3-2-1_50JKR_2020-05-14_final
2020-05-14 12:05:20	ga_s2am_ard_3-2-1_49JGL_2020-05-14_final
2020-05-14 12:05:28	ga_s2am_ard_3-2-1_50JLQ_2020-05-14_final
2020-05-14 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2020-05-14_final
2020-05-14 12:05:34	ga_s2am_ard_3-2-1_49JGK_2020-05-14_final
2020-05-14 12:05:42	ga_s2am_ard_3-2-1_50JLP_2020-05-14_final
2020-05-14 12:05:46	ga_s2am_ard_3-2-1_50JKP_2020-05-14_final
2020-05-14 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-05-14_final
2020-05-14 12:06:03	ga_s2am_ard_3-2-1_49JGH_2020-05-14_final.stac-item

Return to ga_s2am_ard_3 on 14th May 2020 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

2020

May

14th