Search ga_ls7e_ard_3 across 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:

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):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

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:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

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 Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2020-04-09 10:11:07	ga_ls7e_ard_3-1-0_103071_2020-04-09_final
2020-04-09 10:11:31	ga_ls7e_ard_3-1-0_103072_2020-04-09_final
2020-04-09 10:12:19	ga_ls7e_ard_3-1-0_103074_2020-04-09_final
2020-04-09 10:12:43	ga_ls7e_ard_3-1-0_103075_2020-04-09_final
2020-04-09 10:13:30	ga_ls7e_ard_3-1-0_103077_2020-04-09_final
2020-04-09 10:13:54	ga_ls7e_ard_3-1-0_103078_2020-04-09_final
2020-04-09 10:14:18	ga_ls7e_ard_3-1-0_103079_2020-04-09_final
2020-04-09 10:14:42	ga_ls7e_ard_3-1-0_103080_2020-04-09_final
2020-04-09 10:15:06	ga_ls7e_ard_3-1-0_103081_2020-04-09_final
2020-04-09 10:15:30	ga_ls7e_ard_3-1-0_103082_2020-04-09_final
2020-04-10 09:16:14	ga_ls7e_ard_3-1-0_094073_2020-04-09_final
2020-04-10 09:17:50	ga_ls7e_ard_3-1-0_094077_2020-04-09_final
2020-04-10 09:19:02	ga_ls7e_ard_3-1-0_094080_2020-04-09_final
2020-04-13 09:44:34	ga_ls7e_ard_3-1-0_099067_2020-04-13_final
2020-04-13 09:44:58	ga_ls7e_ard_3-1-0_099068_2020-04-13_final
2020-04-13 09:45:22	ga_ls7e_ard_3-1-0_099069_2020-04-13_final
2020-04-13 09:45:46	ga_ls7e_ard_3-1-0_099070_2020-04-13_final
2020-04-13 09:46:10	ga_ls7e_ard_3-1-0_099071_2020-04-13_final
2020-04-13 09:46:34	ga_ls7e_ard_3-1-0_099072_2020-04-13_final
2020-04-13 09:46:58	ga_ls7e_ard_3-1-0_099073_2020-04-13_final
2020-04-13 09:47:22	ga_ls7e_ard_3-1-0_099074_2020-04-13_final
2020-04-13 09:47:45	ga_ls7e_ard_3-1-0_099075_2020-04-13_final
2020-04-13 09:48:09	ga_ls7e_ard_3-1-0_099076_2020-04-13_final
2020-04-13 09:48:33	ga_ls7e_ard_3-1-0_099077_2020-04-13_final
2020-04-13 09:48:57	ga_ls7e_ard_3-1-0_099078_2020-04-13_final
2020-04-13 09:49:21	ga_ls7e_ard_3-1-0_099079_2020-04-13_final
2020-04-13 09:49:45	ga_ls7e_ard_3-1-0_099080_2020-04-13_final
2020-04-13 09:50:09	ga_ls7e_ard_3-1-0_099081_2020-04-13_final
2020-04-13 09:50:33	ga_ls7e_ard_3-1-0_099082_2020-04-13_final
2020-04-13 09:50:57	ga_ls7e_ard_3-1-0_099083_2020-04-13_final
2020-04-13 09:51:21	ga_ls7e_ard_3-1-0_099084_2020-04-13_final
2020-04-13 11:26:14	ga_ls7e_ard_3-1-0_115074_2020-04-13_final
2020-04-13 11:26:38	ga_ls7e_ard_3-1-0_115075_2020-04-13_final
2020-04-13 11:27:02	ga_ls7e_ard_3-1-0_115076_2020-04-13_final
2020-04-13 11:27:26	ga_ls7e_ard_3-1-0_115077_2020-04-13_final
2020-04-13 11:27:50	ga_ls7e_ard_3-1-0_115078_2020-04-13_final
2020-04-13 11:28:14	ga_ls7e_ard_3-1-0_115079_2020-04-13_final
2020-04-14 08:52:53	ga_ls7e_ard_3-1-0_090077_2020-04-13_final
2020-04-14 08:53:17	ga_ls7e_ard_3-1-0_090078_2020-04-13_final
2020-04-14 08:53:41	ga_ls7e_ard_3-1-0_090079_2020-04-13_final
2020-04-14 08:54:05	ga_ls7e_ard_3-1-0_090080_2020-04-13_final
2020-04-14 08:54:28	ga_ls7e_ard_3-1-0_090081_2020-04-13_final
2020-04-14 08:54:52	ga_ls7e_ard_3-1-0_090082_2020-04-13_final
2020-04-14 08:55:16	ga_ls7e_ard_3-1-0_090083_2020-04-13_final
2020-04-14 08:55:40	ga_ls7e_ard_3-1-0_090084_2020-04-13_final
2020-04-14 08:56:04	ga_ls7e_ard_3-1-0_090085_2020-04-13_final
2020-04-14 08:56:28	ga_ls7e_ard_3-1-0_090086_2020-04-13_final
2020-04-14 08:57:16	ga_ls7e_ard_3-1-0_090088_2020-04-13_final
2020-04-14 08:57:40	ga_ls7e_ard_3-1-0_090089_2020-04-13_final
2020-04-14 08:58:04	ga_ls7e_ard_3-1-0_090090_2020-04-13_final
2020-04-14 10:28:10	ga_ls7e_ard_3-1-0_106068_2020-04-14_final
2020-04-14 10:28:34	ga_ls7e_ard_3-1-0_106069_2020-04-14_final
2020-04-14 10:28:58	ga_ls7e_ard_3-1-0_106070_2020-04-14_final
2020-04-14 10:29:22	ga_ls7e_ard_3-1-0_106071_2020-04-14_final
2020-04-14 10:29:46	ga_ls7e_ard_3-1-0_106072_2020-04-14_final
2020-04-14 10:30:10	ga_ls7e_ard_3-1-0_106073_2020-04-14_final
2020-04-14 10:30:34	ga_ls7e_ard_3-1-0_106074_2020-04-14_final
2020-04-14 10:30:58	ga_ls7e_ard_3-1-0_106075_2020-04-14_final
2020-04-14 10:31:21	ga_ls7e_ard_3-1-0_106076_2020-04-14_final
2020-04-14 10:31:45	ga_ls7e_ard_3-1-0_106077_2020-04-14_final
2020-04-14 10:32:09	ga_ls7e_ard_3-1-0_106078_2020-04-14_final
2020-04-14 10:32:33	ga_ls7e_ard_3-1-0_106079_2020-04-14_final
2020-04-14 10:32:57	ga_ls7e_ard_3-1-0_106080_2020-04-14_final
2020-04-14 10:33:21	ga_ls7e_ard_3-1-0_106081_2020-04-14_final
2020-04-14 10:33:45	ga_ls7e_ard_3-1-0_106082_2020-04-14_final
2020-04-14 10:34:09	ga_ls7e_ard_3-1-0_106083_2020-04-14_final
2020-04-15 09:33:17	ga_ls7e_ard_3-1-0_097070_2020-04-15_final
2020-04-15 09:33:41	ga_ls7e_ard_3-1-0_097071_2020-04-15_final
2020-04-15 09:34:05	ga_ls7e_ard_3-1-0_097072_2020-04-15_final
2020-04-15 09:34:29	ga_ls7e_ard_3-1-0_097073_2020-04-15_final
2020-04-15 09:34:53	ga_ls7e_ard_3-1-0_097074_2020-04-15_final
2020-04-15 09:35:17	ga_ls7e_ard_3-1-0_097075_2020-04-15_final
2020-04-15 09:35:41	ga_ls7e_ard_3-1-0_097076_2020-04-15_final
2020-04-15 09:36:05	ga_ls7e_ard_3-1-0_097077_2020-04-15_final
2020-04-15 09:36:29	ga_ls7e_ard_3-1-0_097078_2020-04-15_final
2020-04-15 09:36:53	ga_ls7e_ard_3-1-0_097079_2020-04-15_final
2020-04-15 09:37:17	ga_ls7e_ard_3-1-0_097080_2020-04-15_final
2020-04-15 09:37:41	ga_ls7e_ard_3-1-0_097081_2020-04-15_final
2020-04-15 09:38:04	ga_ls7e_ard_3-1-0_097082_2020-04-15_final
2020-04-15 09:38:28	ga_ls7e_ard_3-1-0_097083_2020-04-15_final
2020-04-15 09:38:52	ga_ls7e_ard_3-1-0_097084_2020-04-15_final
2020-04-15 11:10:58	ga_ls7e_ard_3-1-0_113067_2020-04-15_final
2020-04-15 11:13:46	ga_ls7e_ard_3-1-0_113074_2020-04-15_final
2020-04-15 11:14:10	ga_ls7e_ard_3-1-0_113075_2020-04-15_final
2020-04-15 11:14:34	ga_ls7e_ard_3-1-0_113076_2020-04-15_final
2020-04-15 11:14:58	ga_ls7e_ard_3-1-0_113077_2020-04-15_final
2020-04-15 11:15:22	ga_ls7e_ard_3-1-0_113078_2020-04-15_final
2020-04-15 11:15:45	ga_ls7e_ard_3-1-0_113079_2020-04-15_final
2020-04-15 11:16:09	ga_ls7e_ard_3-1-0_113080_2020-04-15_final
2020-04-15 11:16:33	ga_ls7e_ard_3-1-0_113081_2020-04-15_final
2020-04-15 11:16:57	ga_ls7e_ard_3-1-0_113082_2020-04-15_final
2020-04-15 11:17:21	ga_ls7e_ard_3-1-0_113083_2020-04-15_final
2020-04-15 11:17:45	ga_ls7e_ard_3-1-0_113084_2020-04-15_final
2020-04-16 10:15:41	ga_ls7e_ard_3-1-0_104068_2020-04-16_final
2020-04-16 10:16:05	ga_ls7e_ard_3-1-0_104069_2020-04-16_final
2020-04-16 10:16:29	ga_ls7e_ard_3-1-0_104070_2020-04-16_final
2020-04-16 10:16:53	ga_ls7e_ard_3-1-0_104071_2020-04-16_final
2020-04-16 10:17:17	ga_ls7e_ard_3-1-0_104072_2020-04-16_final
2020-04-16 10:17:41	ga_ls7e_ard_3-1-0_104073_2020-04-16_final
2020-04-16 10:18:05	ga_ls7e_ard_3-1-0_104074_2020-04-16_final

Return to ga_ls7e_ard_3 across 2020 overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus 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

2020

All months