Search ga_ls7e_ard_3 across January 2017

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
2017-01-01 11:37:57	ga_ls7e_ard_3-0-0_113067_2017-01-01_final
2017-01-01 11:40:44	ga_ls7e_ard_3-0-0_113074_2017-01-01_final
2017-01-01 11:41:08	ga_ls7e_ard_3-0-0_113075_2017-01-01_final
2017-01-01 11:41:32	ga_ls7e_ard_3-0-0_113076_2017-01-01_final
2017-01-01 11:41:56	ga_ls7e_ard_3-0-0_113077_2017-01-01_final
2017-01-01 11:42:20	ga_ls7e_ard_3-0-0_113078_2017-01-01_final
2017-01-01 11:42:44	ga_ls7e_ard_3-0-0_113079_2017-01-01_final
2017-01-01 11:43:08	ga_ls7e_ard_3-0-0_113080_2017-01-01_final
2017-01-01 11:43:32	ga_ls7e_ard_3-0-0_113081_2017-01-01_final
2017-01-01 11:43:56	ga_ls7e_ard_3-0-0_113082_2017-01-01_final
2017-01-01 11:44:20	ga_ls7e_ard_3-0-0_113083_2017-01-01_final
2017-01-01 11:44:44	ga_ls7e_ard_3-0-0_113084_2017-01-01_final
2017-01-02 10:43:55	ga_ls7e_ard_3-0-0_104071_2017-01-02_final
2017-01-02 10:44:18	ga_ls7e_ard_3-0-0_104072_2017-01-02_final
2017-01-02 10:45:06	ga_ls7e_ard_3-0-0_104074_2017-01-02_final
2017-01-02 10:45:30	ga_ls7e_ard_3-0-0_104075_2017-01-02_final
2017-01-02 10:45:54	ga_ls7e_ard_3-0-0_104076_2017-01-02_final
2017-01-02 10:46:42	ga_ls7e_ard_3-0-0_104078_2017-01-02_final
2017-01-02 10:47:06	ga_ls7e_ard_3-0-0_104079_2017-01-02_final
2017-01-02 10:47:30	ga_ls7e_ard_3-0-0_104080_2017-01-02_final
2017-01-02 10:47:54	ga_ls7e_ard_3-0-0_104081_2017-01-02_final
2017-01-02 10:48:18	ga_ls7e_ard_3-0-0_104082_2017-01-02_final
2017-01-03 09:48:41	ga_ls7e_ard_3-0-0_095072_2017-01-03_final
2017-01-03 09:49:05	ga_ls7e_ard_3-1-0_095073_2017-01-03_final
2017-01-03 09:49:28	ga_ls7e_ard_3-0-0_095074_2017-01-03_final
2017-01-03 09:49:52	ga_ls7e_ard_3-0-0_095075_2017-01-03_final
2017-01-03 09:50:16	ga_ls7e_ard_3-0-0_095076_2017-01-03_final
2017-01-03 09:50:40	ga_ls7e_ard_3-0-0_095077_2017-01-03_final
2017-01-03 09:51:04	ga_ls7e_ard_3-0-0_095078_2017-01-03_final
2017-01-03 09:51:28	ga_ls7e_ard_3-1-0_095079_2017-01-03_final
2017-01-03 09:51:52	ga_ls7e_ard_3-0-0_095080_2017-01-03_final
2017-01-03 09:52:16	ga_ls7e_ard_3-0-0_095081_2017-01-03_final
2017-01-03 09:52:40	ga_ls7e_ard_3-0-0_095082_2017-01-03_final
2017-01-03 09:53:04	ga_ls7e_ard_3-0-0_095083_2017-01-03_final
2017-01-03 09:53:28	ga_ls7e_ard_3-0-0_095084_2017-01-03_final
2017-01-03 09:53:52	ga_ls7e_ard_3-0-0_095085_2017-01-03_final
2017-01-03 09:54:16	ga_ls7e_ard_3-0-0_095086_2017-01-03_final
2017-01-03 11:25:34	ga_ls7e_ard_3-0-0_111067_2017-01-03_final
2017-01-03 11:25:58	ga_ls7e_ard_3-0-0_111068_2017-01-03_final
2017-01-03 11:27:58	ga_ls7e_ard_3-0-0_111073_2017-01-03_final
2017-01-03 11:28:21	ga_ls7e_ard_3-0-0_111074_2017-01-03_final
2017-01-03 11:28:45	ga_ls7e_ard_3-0-0_111075_2017-01-03_final
2017-01-03 11:29:09	ga_ls7e_ard_3-0-0_111076_2017-01-03_final
2017-01-03 11:29:33	ga_ls7e_ard_3-0-0_111077_2017-01-03_final
2017-01-03 11:29:57	ga_ls7e_ard_3-0-0_111078_2017-01-03_final
2017-01-03 11:30:21	ga_ls7e_ard_3-0-0_111079_2017-01-03_final
2017-01-03 11:30:45	ga_ls7e_ard_3-0-0_111080_2017-01-03_final
2017-01-03 11:31:09	ga_ls7e_ard_3-0-0_111081_2017-01-03_final
2017-01-03 11:31:33	ga_ls7e_ard_3-1-0_111082_2017-01-03_final
2017-01-03 11:31:57	ga_ls7e_ard_3-0-0_111083_2017-01-03_final
2017-01-03 11:32:21	ga_ls7e_ard_3-0-0_111084_2017-01-03_final
2017-01-04 10:30:20	ga_ls7e_ard_3-0-0_102068_2017-01-04_final
2017-01-04 10:30:44	ga_ls7e_ard_3-1-0_102069_2017-01-04_final
2017-01-04 10:31:08	ga_ls7e_ard_3-0-0_102070_2017-01-04_final
2017-01-04 10:31:32	ga_ls7e_ard_3-0-0_102071_2017-01-04_final
2017-01-04 10:31:56	ga_ls7e_ard_3-0-0_102072_2017-01-04_final
2017-01-04 10:33:07	ga_ls7e_ard_3-0-0_102075_2017-01-04_final
2017-01-04 10:33:31	ga_ls7e_ard_3-0-0_102076_2017-01-04_final
2017-01-04 10:33:55	ga_ls7e_ard_3-0-0_102077_2017-01-04_final
2017-01-04 10:34:19	ga_ls7e_ard_3-0-0_102078_2017-01-04_final
2017-01-04 10:34:43	ga_ls7e_ard_3-0-0_102079_2017-01-04_final
2017-01-04 10:35:07	ga_ls7e_ard_3-0-0_102080_2017-01-04_final
2017-01-04 10:35:31	ga_ls7e_ard_3-0-0_102081_2017-01-04_final
2017-01-04 10:35:55	ga_ls7e_ard_3-0-0_102082_2017-01-04_final
2017-01-05 09:37:06	ga_ls7e_ard_3-0-0_093074_2017-01-05_final
2017-01-05 09:37:30	ga_ls7e_ard_3-0-0_093075_2017-01-05_final
2017-01-05 09:38:41	ga_ls7e_ard_3-0-0_093078_2017-01-05_final
2017-01-05 09:39:05	ga_ls7e_ard_3-0-0_093079_2017-01-05_final
2017-01-05 09:39:29	ga_ls7e_ard_3-0-0_093080_2017-01-05_final
2017-01-05 09:39:53	ga_ls7e_ard_3-0-0_093081_2017-01-05_final
2017-01-05 09:40:17	ga_ls7e_ard_3-0-0_093082_2017-01-05_final
2017-01-05 09:40:41	ga_ls7e_ard_3-0-0_093083_2017-01-05_final
2017-01-05 09:41:05	ga_ls7e_ard_3-0-0_093084_2017-01-05_final
2017-01-05 09:41:29	ga_ls7e_ard_3-0-0_093085_2017-01-05_final
2017-01-05 09:41:53	ga_ls7e_ard_3-0-0_093086_2017-01-05_final
2017-01-05 09:42:17	ga_ls7e_ard_3-1-0_093087_2017-01-05_final
2017-01-05 09:42:41	ga_ls7e_ard_3-0-0_093088_2017-01-05_final
2017-01-05 11:14:23	ga_ls7e_ard_3-0-0_109070_2017-01-05_final
2017-01-05 11:16:47	ga_ls7e_ard_3-0-0_109076_2017-01-05_final
2017-01-05 11:17:10	ga_ls7e_ard_3-0-0_109077_2017-01-05_final
2017-01-05 11:17:34	ga_ls7e_ard_3-0-0_109078_2017-01-05_final
2017-01-05 11:17:58	ga_ls7e_ard_3-0-0_109079_2017-01-05_final
2017-01-05 11:18:22	ga_ls7e_ard_3-0-0_109080_2017-01-05_final
2017-01-05 11:18:46	ga_ls7e_ard_3-1-0_109081_2017-01-05_final
2017-01-05 11:19:10	ga_ls7e_ard_3-0-0_109082_2017-01-05_final
2017-01-05 11:19:34	ga_ls7e_ard_3-0-0_109083_2017-01-05_final
2017-01-05 11:19:58	ga_ls7e_ard_3-0-0_109084_2017-01-05_final
2017-01-10 11:38:27	ga_ls7e_ard_3-1-0_112084_2017-01-10_final
2017-01-12 09:40:25	ga_ls7e_ard_3-1-0_094067_2017-01-12_final
2017-01-12 09:44:00	ga_ls7e_ard_3-0-0_094076_2017-01-12_final
2017-01-12 09:44:24	ga_ls7e_ard_3-0-0_094077_2017-01-12_final
2017-01-12 09:45:12	ga_ls7e_ard_3-0-0_094079_2017-01-12_final
2017-01-12 09:45:36	ga_ls7e_ard_3-0-0_094080_2017-01-12_final
2017-01-12 09:46:00	ga_ls7e_ard_3-0-0_094081_2017-01-12_final
2017-01-12 09:46:24	ga_ls7e_ard_3-0-0_094082_2017-01-12_final
2017-01-12 09:46:48	ga_ls7e_ard_3-0-0_094083_2017-01-12_final
2017-01-12 09:47:12	ga_ls7e_ard_3-0-0_094084_2017-01-12_final
2017-01-12 09:47:35	ga_ls7e_ard_3-0-0_094085_2017-01-12_final
2017-01-12 09:48:23	ga_ls7e_ard_3-0-0_094087_2017-01-12_final
2017-01-12 11:21:17	ga_ls7e_ard_3-1-0_110072_2017-01-12_final

Return to ga_ls7e_ard_3 across January 2017 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

2017

January

All days