Search ga_ls7e_ard_3 whole collection

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:

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First 100 results (query limit)

Time (local)	Label
2015-08-16 09:13:09	ga_ls7e_ard_3-0-0_089082_2015-08-15_final
2015-08-16 09:13:33	ga_ls7e_ard_3-0-0_089083_2015-08-15_final
2015-08-16 10:52:02	ga_ls7e_ard_3-0-0_105082_2015-08-16_final
2015-08-17 09:56:25	ga_ls7e_ard_3-0-0_096082_2015-08-17_final
2015-08-17 09:56:49	ga_ls7e_ard_3-0-0_096083_2015-08-17_final
2015-08-17 11:35:18	ga_ls7e_ard_3-0-0_112082_2015-08-17_final
2015-09-15 11:04:29	ga_ls7e_ard_3-0-0_107082_2015-09-15_final
2015-09-15 11:04:53	ga_ls7e_ard_3-0-0_107083_2015-09-15_final
2015-09-16 10:08:52	ga_ls7e_ard_3-0-0_098082_2015-09-16_final
2015-09-16 10:09:16	ga_ls7e_ard_3-0-0_098083_2015-09-16_final
2015-09-17 09:13:15	ga_ls7e_ard_3-0-0_089082_2015-09-16_final
2015-09-17 09:13:39	ga_ls7e_ard_3-0-0_089083_2015-09-16_final
2015-09-17 10:52:08	ga_ls7e_ard_3-0-0_105082_2015-09-17_final
2015-09-18 09:56:31	ga_ls7e_ard_3-0-0_096082_2015-09-18_final
2015-09-18 09:56:55	ga_ls7e_ard_3-0-0_096083_2015-09-18_final
2015-09-18 11:35:24	ga_ls7e_ard_3-0-0_112082_2015-09-18_final
2015-09-18 11:35:48	ga_ls7e_ard_3-0-0_112083_2015-09-18_final
2015-09-19 10:39:47	ga_ls7e_ard_3-0-0_103082_2015-09-19_final
2017-03-20 10:17:19	ga_ls7e_ard_3-0-0_099082_2017-03-20_final
2017-03-20 10:17:43	ga_ls7e_ard_3-0-0_099083_2017-03-20_final
2017-03-21 11:00:35	ga_ls7e_ard_3-0-0_106082_2017-03-21_final
2017-03-22 10:04:58	ga_ls7e_ard_3-0-0_097082_2017-03-22_final
2017-03-22 10:05:22	ga_ls7e_ard_3-0-0_097083_2017-03-22_final
2017-03-22 11:43:51	ga_ls7e_ard_3-0-0_113082_2017-03-22_final
2017-03-24 09:52:37	ga_ls7e_ard_3-0-0_095082_2017-03-24_final
2017-03-24 09:53:00	ga_ls7e_ard_3-0-0_095083_2017-03-24_final
2017-03-24 11:31:30	ga_ls7e_ard_3-1-0_111082_2017-03-24_final
2017-03-24 11:31:54	ga_ls7e_ard_3-0-0_111083_2017-03-24_final
2017-03-25 10:35:53	ga_ls7e_ard_3-0-0_102082_2017-03-25_final
2017-03-26 09:40:15	ga_ls7e_ard_3-0-0_093082_2017-03-26_final
2017-03-26 09:40:39	ga_ls7e_ard_3-1-0_093083_2017-03-26_final
2017-04-21 10:17:54	ga_ls7e_ard_3-0-0_099083_2017-04-21_final
2017-04-22 09:22:17	ga_ls7e_ard_3-0-0_090083_2017-04-21_final
2017-04-22 11:00:46	ga_ls7e_ard_3-0-0_106082_2017-04-22_final
2017-04-22 11:01:10	ga_ls7e_ard_3-0-0_106083_2017-04-22_final
2017-04-23 10:05:33	ga_ls7e_ard_3-0-0_097083_2017-04-23_final
2017-04-23 11:44:02	ga_ls7e_ard_3-0-0_113082_2017-04-23_final
2017-04-23 11:44:26	ga_ls7e_ard_3-0-0_113083_2017-04-23_final
2017-04-28 10:23:43	ga_ls7e_ard_3-0-0_100082_2017-04-28_final
2017-04-28 10:24:07	ga_ls7e_ard_3-0-0_100083_2017-04-28_final
2017-04-29 09:28:06	ga_ls7e_ard_3-0-0_091082_2017-04-28_final
2017-04-29 09:28:30	ga_ls7e_ard_3-0-0_091083_2017-04-28_final
2017-04-29 11:06:59	ga_ls7e_ard_3-0-0_107082_2017-04-29_final
2017-04-29 11:07:23	ga_ls7e_ard_3-0-0_107083_2017-04-29_final
2017-04-30 10:11:22	ga_ls7e_ard_3-0-0_098082_2017-04-30_final
2017-04-30 10:11:46	ga_ls7e_ard_3-0-0_098083_2017-04-30_final
2017-05-01 09:15:45	ga_ls7e_ard_3-0-0_089082_2017-04-30_final
2017-05-01 09:16:09	ga_ls7e_ard_3-0-0_089083_2017-04-30_final
2017-05-01 10:54:38	ga_ls7e_ard_3-0-0_105082_2017-05-01_final
2017-05-02 09:59:01	ga_ls7e_ard_3-0-0_096082_2017-05-02_final
2017-05-02 11:37:54	ga_ls7e_ard_3-0-0_112082_2017-05-02_final
2017-05-02 11:38:18	ga_ls7e_ard_3-0-0_112083_2017-05-02_final
2017-05-03 10:42:17	ga_ls7e_ard_3-0-0_103082_2017-05-03_final
2017-05-27 09:52:55	ga_ls7e_ard_3-0-0_095082_2017-05-27_final
2017-05-27 09:53:19	ga_ls7e_ard_3-0-0_095083_2017-05-27_final
2017-05-27 11:31:48	ga_ls7e_ard_3-1-0_111082_2017-05-27_final
2017-05-27 11:32:12	ga_ls7e_ard_3-0-0_111083_2017-05-27_final
2017-05-28 10:36:11	ga_ls7e_ard_3-0-0_102082_2017-05-28_final
2017-05-29 09:40:34	ga_ls7e_ard_3-0-0_093082_2017-05-29_final
2017-05-29 09:40:58	ga_ls7e_ard_3-1-0_093083_2017-05-29_final
2017-05-29 11:19:27	ga_ls7e_ard_3-0-0_109082_2017-05-29_final
2017-05-29 11:19:51	ga_ls7e_ard_3-0-0_109083_2017-05-29_final
2017-05-30 10:23:50	ga_ls7e_ard_3-0-0_100082_2017-05-30_final
2017-05-30 10:24:14	ga_ls7e_ard_3-0-0_100083_2017-05-30_final
2017-05-31 09:28:13	ga_ls7e_ard_3-0-0_091082_2017-05-30_final
2017-05-31 09:28:37	ga_ls7e_ard_3-0-0_091083_2017-05-30_final
2017-05-31 11:07:06	ga_ls7e_ard_3-0-0_107082_2017-05-31_final
2017-05-31 11:07:30	ga_ls7e_ard_3-0-0_107083_2017-05-31_final
2017-06-08 10:17:42	ga_ls7e_ard_3-0-0_099082_2017-06-08_final
2017-06-08 10:18:06	ga_ls7e_ard_3-0-0_099083_2017-06-08_final
2017-06-09 09:22:05	ga_ls7e_ard_3-0-0_090082_2017-06-08_final
2017-06-09 09:22:29	ga_ls7e_ard_3-0-0_090083_2017-06-08_final
2017-06-09 11:00:58	ga_ls7e_ard_3-0-0_106082_2017-06-09_final
2017-06-09 11:01:22	ga_ls7e_ard_3-0-0_106083_2017-06-09_final
2017-06-10 10:05:21	ga_ls7e_ard_3-0-0_097082_2017-06-10_final
2017-06-10 10:05:45	ga_ls7e_ard_3-0-0_097083_2017-06-10_final
2017-06-10 11:44:14	ga_ls7e_ard_3-0-0_113082_2017-06-10_final
2017-06-10 11:44:38	ga_ls7e_ard_3-0-0_113083_2017-06-10_final
2017-06-11 10:48:37	ga_ls7e_ard_3-0-0_104082_2017-06-11_final
2017-06-12 09:53:00	ga_ls7e_ard_3-0-0_095082_2017-06-12_final
2017-06-12 09:53:24	ga_ls7e_ard_3-0-0_095083_2017-06-12_final
2017-06-12 11:31:53	ga_ls7e_ard_3-1-0_111082_2017-06-12_final
2017-06-12 11:32:17	ga_ls7e_ard_3-0-0_111083_2017-06-12_final
2017-06-13 10:36:16	ga_ls7e_ard_3-0-0_102082_2017-06-13_final
2017-07-11 09:22:09	ga_ls7e_ard_3-0-0_090082_2017-07-10_final
2017-07-12 11:44:18	ga_ls7e_ard_3-0-0_113082_2017-07-12_final
2017-07-12 11:44:42	ga_ls7e_ard_3-0-0_113083_2017-07-12_final
2017-07-13 10:48:41	ga_ls7e_ard_3-0-0_104082_2017-07-13_final
2017-07-14 09:53:03	ga_ls7e_ard_3-0-0_095082_2017-07-14_final
2017-07-14 11:31:56	ga_ls7e_ard_3-1-0_111082_2017-07-14_final
2017-07-14 11:32:20	ga_ls7e_ard_3-0-0_111083_2017-07-14_final
2017-07-15 10:36:19	ga_ls7e_ard_3-0-0_102082_2017-07-15_final
2017-07-16 09:40:42	ga_ls7e_ard_3-0-0_093082_2017-07-16_final
2017-07-16 09:41:06	ga_ls7e_ard_3-0-0_093083_2017-07-16_final
2017-07-29 10:48:40	ga_ls7e_ard_3-0-0_104082_2017-07-29_final
2017-07-30 09:53:26	ga_ls7e_ard_3-0-0_095083_2017-07-30_final
2017-07-30 11:31:55	ga_ls7e_ard_3-1-0_111082_2017-07-30_final
2017-07-30 11:32:19	ga_ls7e_ard_3-0-0_111083_2017-07-30_final
2017-07-31 10:36:18	ga_ls7e_ard_3-0-0_102082_2017-07-31_final
2017-08-01 09:40:40	ga_ls7e_ard_3-0-0_093082_2017-08-01_final

Return to ga_ls7e_ard_3 whole collection 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

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