Search ga_s2am_ard_3 across September 2021

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 s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless 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
2021-09-23 11:53:34	ga_s2am_ard_3-2-1_50KMC_2021-09-23_final
2021-09-23 11:53:35	ga_s2am_ard_3-2-1_50KQB_2021-09-23_final
2021-09-23 11:53:39	ga_s2am_ard_3-2-1_50KPB_2021-09-23_final
2021-09-23 11:53:46	ga_s2am_ard_3-2-1_50KMB_2021-09-23_final
2021-09-23 11:53:49	ga_s2am_ard_3-2-1_50KQA_2021-09-23_final
2021-09-23 11:53:53	ga_s2am_ard_3-2-1_50KPA_2021-09-23_final
2021-09-23 11:53:57	ga_s2am_ard_3-2-1_50KNA_2021-09-23_final
2021-09-23 11:54:00	ga_s2am_ard_3-2-1_50KMA_2021-09-23_final
2021-09-23 11:54:08	ga_s2am_ard_3-2-1_50KPV_2021-09-23_final
2021-09-23 11:54:11	ga_s2am_ard_3-2-1_50KNV_2021-09-23_final
2021-09-23 11:54:22	ga_s2am_ard_3-2-1_50KPU_2021-09-23_final
2021-09-23 11:54:26	ga_s2am_ard_3-2-1_50KNU_2021-09-23_final
2021-09-23 11:54:29	ga_s2am_ard_3-2-1_50KMU_2021-09-23_final
2021-09-23 11:54:36	ga_s2am_ard_3-2-1_50JPT_2021-09-23_final
2021-09-23 11:54:36	ga_s2am_ard_3-2-1_50KLU_2021-09-23_final
2021-09-23 11:54:40	ga_s2am_ard_3-2-1_50JNT_2021-09-23_final
2021-09-23 11:54:51	ga_s2am_ard_3-2-1_50JPS_2021-09-23_final
2021-09-23 11:54:55	ga_s2am_ard_3-2-1_50JNS_2021-09-23_final
2021-09-23 11:54:58	ga_s2am_ard_3-2-1_50JMS_2021-09-23_final
2021-09-23 11:55:01	ga_s2am_ard_3-2-1_50JLS_2021-09-23_final
2021-09-23 11:55:06	ga_s2am_ard_3-2-1_50JPR_2021-09-23_final
2021-09-23 11:55:09	ga_s2am_ard_3-2-1_50JNR_2021-09-23_final
2021-09-23 11:55:13	ga_s2am_ard_3-2-1_50JMR_2021-09-23_final
2021-09-23 11:55:16	ga_s2am_ard_3-2-1_50JLR_2021-09-23_final
2021-09-23 11:55:19	ga_s2am_ard_3-2-1_50JPQ_2021-09-23_final
2021-09-23 11:55:23	ga_s2am_ard_3-2-1_50JNQ_2021-09-23_final
2021-09-23 11:55:29	ga_s2am_ard_3-2-1_50JPP_2021-09-23_final
2021-09-23 11:55:30	ga_s2am_ard_3-2-1_50JLQ_2021-09-23_final
2021-09-23 11:55:42	ga_s2am_ard_3-2-1_50JMP_2021-09-23_final
2021-09-23 11:55:45	ga_s2am_ard_3-2-1_50JLP_2021-09-23_final
2021-09-23 11:55:49	ga_s2am_ard_3-2-1_50JKP_2021-09-23_final
2021-09-23 11:55:56	ga_s2am_ard_3-2-1_50JMN_2021-09-23_final
2021-09-23 11:55:59	ga_s2am_ard_3-2-1_50JLN_2021-09-23_final
2021-09-23 11:56:02	ga_s2am_ard_3-2-1_50JKN_2021-09-23_final
2021-09-23 11:56:07	ga_s2am_ard_3-2-1_50JNM_2021-09-23_final
2021-09-23 11:56:11	ga_s2am_ard_3-2-1_50JMM_2021-09-23_final
2021-09-23 11:56:14	ga_s2am_ard_3-2-1_50JLM_2021-09-23_final
2021-09-23 11:56:17	ga_s2am_ard_3-2-1_50JKM_2021-09-23_final
2021-09-30 11:42:46	ga_s2am_ard_3-2-1_51KVV_2021-09-30_final
2021-09-30 11:42:50	ga_s2am_ard_3-2-1_51KUV_2021-09-30_final
2021-09-30 11:43:01	ga_s2am_ard_3-2-1_51KVU_2021-09-30_final
2021-09-30 11:43:04	ga_s2am_ard_3-2-1_51KUU_2021-09-30_final
2021-09-30 11:43:07	ga_s2am_ard_3-2-1_51KTU_2021-09-30_final
2021-09-30 11:43:08	ga_s2am_ard_3-2-1_50KRD_2021-09-30_final
2021-09-30 11:43:13	ga_s2am_ard_3-2-1_50KQD_2021-09-30_final
2021-09-30 11:43:16	ga_s2am_ard_3-2-1_51KVT_2021-09-30_final
2021-09-30 11:43:19	ga_s2am_ard_3-2-1_51KUT_2021-09-30_final
2021-09-30 11:43:22	ga_s2am_ard_3-2-1_51KTT_2021-09-30_final
2021-09-30 11:43:23	ga_s2am_ard_3-2-1_50KRC_2021-09-30_final
2021-09-30 11:43:26	ga_s2am_ard_3-2-1_50KQC_2021-09-30_final
2021-09-30 11:43:29	ga_s2am_ard_3-2-1_51KVS_2021-09-30_final
2021-09-30 11:43:33	ga_s2am_ard_3-2-1_51KUS_2021-09-30_final
2021-09-30 11:43:37	ga_s2am_ard_3-2-1_51KTS_2021-09-30_final
2021-09-30 11:43:37	ga_s2am_ard_3-2-1_50KRB_2021-09-30_final
2021-09-30 11:43:40	ga_s2am_ard_3-2-1_51KVR_2021-09-30_final
2021-09-30 11:43:41	ga_s2am_ard_3-2-1_50KQB_2021-09-30_final
2021-09-30 11:43:48	ga_s2am_ard_3-2-1_51KUR_2021-09-30_final
2021-09-30 11:43:51	ga_s2am_ard_3-2-1_51KTR_2021-09-30_final
2021-09-30 11:43:52	ga_s2am_ard_3-2-1_50KRA_2021-09-30_final
2021-09-30 11:43:55	ga_s2am_ard_3-2-1_50KQA_2021-09-30_final
2021-09-30 11:44:02	ga_s2am_ard_3-2-1_51KUQ_2021-09-30_final
2021-09-30 11:44:06	ga_s2am_ard_3-2-1_51KTQ_2021-09-30_final
2021-09-30 11:44:06	ga_s2am_ard_3-2-1_50KRV_2021-09-30_final
2021-09-30 11:44:10	ga_s2am_ard_3-2-1_50KQV_2021-09-30_final
2021-09-30 11:44:14	ga_s2am_ard_3-2-1_50KPV_2021-09-30_final
2021-09-30 11:44:17	ga_s2am_ard_3-2-1_51KUP_2021-09-30_final
2021-09-30 11:44:20	ga_s2am_ard_3-2-1_50KRU_2021-09-30_final
2021-09-30 11:44:20	ga_s2am_ard_3-2-1_51KTP_2021-09-30_final
2021-09-30 11:44:24	ga_s2am_ard_3-2-1_50KQU_2021-09-30_final
2021-09-30 11:44:27	ga_s2am_ard_3-2-1_50KPU_2021-09-30_final
2021-09-30 11:44:31	ga_s2am_ard_3-2-1_51JUN_2021-09-30_final
2021-09-30 11:44:35	ga_s2am_ard_3-2-1_50JRT_2021-09-30_final
2021-09-30 11:44:35	ga_s2am_ard_3-2-1_51JTN_2021-09-30_final
2021-09-30 11:44:39	ga_s2am_ard_3-2-1_50JQT_2021-09-30_final
2021-09-30 11:44:42	ga_s2am_ard_3-2-1_50JPT_2021-09-30_final
2021-09-30 11:44:45	ga_s2am_ard_3-2-1_51JUM_2021-09-30_final
2021-09-30 11:44:49	ga_s2am_ard_3-2-1_50JRS_2021-09-30_final
2021-09-30 11:44:49	ga_s2am_ard_3-2-1_51JTM_2021-09-30_final
2021-09-30 11:44:53	ga_s2am_ard_3-2-1_50JQS_2021-09-30_final
2021-09-30 11:44:55	ga_s2am_ard_3-2-1_51JUL_2021-09-30_final
2021-09-30 11:44:57	ga_s2am_ard_3-2-1_50JPS_2021-09-30_final
2021-09-30 11:45:04	ga_s2am_ard_3-2-1_51JTL_2021-09-30_final
2021-09-30 11:45:08	ga_s2am_ard_3-2-1_50JQR_2021-09-30_final
2021-09-30 11:45:11	ga_s2am_ard_3-2-1_50JPR_2021-09-30_final
2021-09-30 11:45:15	ga_s2am_ard_3-2-1_50JNR_2021-09-30_final
2021-09-30 11:45:18	ga_s2am_ard_3-2-1_51JTK_2021-09-30_final
2021-09-30 11:45:22	ga_s2am_ard_3-2-1_50JQQ_2021-09-30_final
2021-09-30 11:45:25	ga_s2am_ard_3-2-1_50JPQ_2021-09-30_final
2021-09-30 11:45:29	ga_s2am_ard_3-2-1_50JNQ_2021-09-30_final
2021-09-30 11:45:33	ga_s2am_ard_3-2-1_51JTJ_2021-09-30_final
2021-09-30 11:45:36	ga_s2am_ard_3-2-1_50JQP_2021-09-30_final
2021-09-30 11:45:40	ga_s2am_ard_3-2-1_50JPP_2021-09-30_final
2021-09-30 11:45:43	ga_s2am_ard_3-2-1_50JNP_2021-09-30_final
2021-09-30 11:45:48	ga_s2am_ard_3-2-1_51JTH_2021-09-30_final
2021-09-30 11:45:51	ga_s2am_ard_3-2-1_50JQN_2021-09-30_final
2021-09-30 11:45:54	ga_s2am_ard_3-2-1_50JPN_2021-09-30_final
2021-09-30 11:45:58	ga_s2am_ard_3-2-1_50JNN_2021-09-30_final
2021-09-30 11:46:01	ga_s2am_ard_3-2-1_51JTG_2021-09-30_final
2021-09-30 11:46:05	ga_s2am_ard_3-2-1_50JQM_2021-09-30_final
2021-09-30 11:46:09	ga_s2am_ard_3-2-1_50JPM_2021-09-30_final

Return to ga_s2am_ard_3 across September 2021 overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

2021

September

All days