Search ga_ls7e_ard_3 across April 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 09:13:50	ga_ls7e_ard_3-1-0_094067_2020-04-09_final
2020-04-10 09:16:14	ga_ls7e_ard_3-1-0_094073_2020-04-09_final
2020-04-10 09:16:38	ga_ls7e_ard_3-1-0_094074_2020-04-09_final
2020-04-10 09:17:02	ga_ls7e_ard_3-1-0_094075_2020-04-09_final
2020-04-10 09:17:26	ga_ls7e_ard_3-1-0_094076_2020-04-09_final
2020-04-10 09:17:50	ga_ls7e_ard_3-1-0_094077_2020-04-09_final
2020-04-10 09:18:14	ga_ls7e_ard_3-1-0_094078_2020-04-09_final
2020-04-10 09:18:38	ga_ls7e_ard_3-1-0_094079_2020-04-09_final
2020-04-10 09:19:02	ga_ls7e_ard_3-1-0_094080_2020-04-09_final
2020-04-10 09:19:26	ga_ls7e_ard_3-1-0_094081_2020-04-09_final
2020-04-10 09:19:50	ga_ls7e_ard_3-1-0_094082_2020-04-09_final
2020-04-10 09:20:13	ga_ls7e_ard_3-1-0_094083_2020-04-09_final
2020-04-10 09:20:37	ga_ls7e_ard_3-1-0_094084_2020-04-09_final
2020-04-10 09:21:01	ga_ls7e_ard_3-1-0_094085_2020-04-09_final
2020-04-10 09:21:25	ga_ls7e_ard_3-1-0_094086_2020-04-09_final
2020-04-10 10:52:43	ga_ls7e_ard_3-1-0_110067_2020-04-10_final
2020-04-10 10:53:55	ga_ls7e_ard_3-1-0_110070_2020-04-10_final
2020-04-10 10:54:19	ga_ls7e_ard_3-1-0_110071_2020-04-10_final
2020-04-10 10:54:43	ga_ls7e_ard_3-1-0_110072_2020-04-10_final
2020-04-10 10:55:07	ga_ls7e_ard_3-1-0_110073_2020-04-10_final
2020-04-10 10:55:31	ga_ls7e_ard_3-1-0_110074_2020-04-10_final
2020-04-10 10:55:55	ga_ls7e_ard_3-1-0_110075_2020-04-10_final
2020-04-10 10:56:19	ga_ls7e_ard_3-1-0_110076_2020-04-10_final
2020-04-10 10:56:43	ga_ls7e_ard_3-1-0_110077_2020-04-10_final
2020-04-10 10:57:07	ga_ls7e_ard_3-1-0_110078_2020-04-10_final
2020-04-10 10:57:30	ga_ls7e_ard_3-1-0_110079_2020-04-10_final
2020-04-10 10:57:54	ga_ls7e_ard_3-1-0_110080_2020-04-10_final
2020-04-10 10:58:18	ga_ls7e_ard_3-1-0_110081_2020-04-10_final
2020-04-10 10:58:42	ga_ls7e_ard_3-1-0_110082_2020-04-10_final
2020-04-10 10:59:06	ga_ls7e_ard_3-1-0_110083_2020-04-10_final
2020-04-10 10:59:30	ga_ls7e_ard_3-1-0_110084_2020-04-10_final
2020-04-11 09:58:38	ga_ls7e_ard_3-1-0_101071_2020-04-11_final
2020-04-11 09:59:02	ga_ls7e_ard_3-1-0_101072_2020-04-11_final
2020-04-11 09:59:26	ga_ls7e_ard_3-1-0_101073_2020-04-11_final
2020-04-11 09:59:50	ga_ls7e_ard_3-1-0_101074_2020-04-11_final
2020-04-11 10:00:14	ga_ls7e_ard_3-1-0_101075_2020-04-11_final
2020-04-11 10:00:38	ga_ls7e_ard_3-1-0_101076_2020-04-11_final
2020-04-11 10:01:02	ga_ls7e_ard_3-1-0_101077_2020-04-11_final
2020-04-11 10:01:26	ga_ls7e_ard_3-1-0_101078_2020-04-11_final
2020-04-11 10:01:50	ga_ls7e_ard_3-1-0_101079_2020-04-11_final
2020-04-11 10:02:14	ga_ls7e_ard_3-1-0_101080_2020-04-11_final
2020-04-11 10:02:38	ga_ls7e_ard_3-1-0_101081_2020-04-11_final
2020-04-11 10:03:02	ga_ls7e_ard_3-1-0_101082_2020-04-11_final
2020-04-12 09:04:33	ga_ls7e_ard_3-1-0_092075_2020-04-11_final
2020-04-12 09:04:57	ga_ls7e_ard_3-1-0_092076_2020-04-11_final
2020-04-12 09:05:21	ga_ls7e_ard_3-1-0_092077_2020-04-11_final
2020-04-12 09:05:45	ga_ls7e_ard_3-1-0_092078_2020-04-11_final
2020-04-12 09:06:09	ga_ls7e_ard_3-1-0_092079_2020-04-11_final
2020-04-12 09:06:33	ga_ls7e_ard_3-1-0_092080_2020-04-11_final
2020-04-12 09:06:57	ga_ls7e_ard_3-1-0_092081_2020-04-11_final
2020-04-12 09:07:21	ga_ls7e_ard_3-1-0_092082_2020-04-11_final
2020-04-12 09:07:45	ga_ls7e_ard_3-1-0_092083_2020-04-11_final
2020-04-12 09:08:09	ga_ls7e_ard_3-1-0_092084_2020-04-11_final
2020-04-12 09:08:33	ga_ls7e_ard_3-1-0_092085_2020-04-11_final
2020-04-12 09:08:57	ga_ls7e_ard_3-1-0_092086_2020-04-11_final
2020-04-12 09:09:45	ga_ls7e_ard_3-1-0_092088_2020-04-11_final
2020-04-12 09:10:09	ga_ls7e_ard_3-1-0_092089_2020-04-11_final
2020-04-12 10:41:26	ga_ls7e_ard_3-1-0_108070_2020-04-12_final
2020-04-12 10:41:50	ga_ls7e_ard_3-1-0_108071_2020-04-12_final
2020-04-12 10:42:14	ga_ls7e_ard_3-1-0_108072_2020-04-12_final
2020-04-12 10:42:38	ga_ls7e_ard_3-1-0_108073_2020-04-12_final
2020-04-12 10:43:02	ga_ls7e_ard_3-1-0_108074_2020-04-12_final
2020-04-12 10:43:26	ga_ls7e_ard_3-1-0_108075_2020-04-12_final
2020-04-12 10:43:50	ga_ls7e_ard_3-1-0_108076_2020-04-12_final
2020-04-12 10:44:14	ga_ls7e_ard_3-1-0_108077_2020-04-12_final
2020-04-12 10:44:38	ga_ls7e_ard_3-1-0_108078_2020-04-12_final
2020-04-12 10:45:02	ga_ls7e_ard_3-1-0_108079_2020-04-12_final
2020-04-12 10:45:26	ga_ls7e_ard_3-1-0_108080_2020-04-12_final
2020-04-12 10:45:50	ga_ls7e_ard_3-1-0_108081_2020-04-12_final
2020-04-12 10:46:14	ga_ls7e_ard_3-1-0_108082_2020-04-12_final
2020-04-12 10:46:38	ga_ls7e_ard_3-1-0_108083_2020-04-12_final
2020-04-12 10:47:02	ga_ls7e_ard_3-1-0_108084_2020-04-12_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

Return to ga_ls7e_ard_3 across April 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

April

All days