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:

Add field

First 100 results (query limit)

Time (local)	Label
2015-07-19 10:25:14	ga_ls7e_ard_3-0-0_101077_2015-07-19_final
2015-07-20 09:29:36	ga_ls7e_ard_3-0-0_092077_2015-07-19_final
2015-07-20 11:08:29	ga_ls7e_ard_3-0-0_108077_2015-07-20_final
2015-07-21 10:12:52	ga_ls7e_ard_3-0-0_099077_2015-07-21_final
2015-07-22 09:17:15	ga_ls7e_ard_3-0-0_090077_2015-07-21_final
2015-07-22 10:56:08	ga_ls7e_ard_3-0-0_106077_2015-07-22_final
2015-07-23 10:00:31	ga_ls7e_ard_3-0-0_097077_2015-07-23_final
2015-08-14 09:23:31	ga_ls7e_ard_3-0-0_091077_2015-08-13_final
2015-08-14 11:02:24	ga_ls7e_ard_3-0-0_107077_2015-08-14_final
2015-08-15 10:06:47	ga_ls7e_ard_3-0-0_098077_2015-08-15_final
2015-08-15 11:45:40	ga_ls7e_ard_3-0-0_114077_2015-08-15_final
2015-08-16 10:50:03	ga_ls7e_ard_3-0-0_105077_2015-08-16_final
2015-08-17 09:54:25	ga_ls7e_ard_3-0-0_096077_2015-08-17_final
2015-08-17 11:33:18	ga_ls7e_ard_3-0-0_112077_2015-08-17_final
2015-09-15 11:02:29	ga_ls7e_ard_3-0-0_107077_2015-09-15_final
2015-09-16 10:06:52	ga_ls7e_ard_3-0-0_098077_2015-09-16_final
2015-09-16 11:45:45	ga_ls7e_ard_3-0-0_114077_2015-09-16_final
2015-09-17 10:50:08	ga_ls7e_ard_3-0-0_105077_2015-09-17_final
2015-09-18 09:54:31	ga_ls7e_ard_3-0-0_096077_2015-09-18_final
2015-09-18 11:33:24	ga_ls7e_ard_3-0-0_112077_2015-09-18_final
2015-09-19 10:37:47	ga_ls7e_ard_3-0-0_103077_2015-09-19_final
2015-11-07 11:21:39	ga_ls7e_ard_3-0-0_110077_2015-11-07_final
2015-11-08 10:26:03	ga_ls7e_ard_3-0-0_101077_2015-11-08_final
2015-11-09 11:09:20	ga_ls7e_ard_3-0-0_108077_2015-11-09_final
2015-11-10 10:13:44	ga_ls7e_ard_3-0-0_099077_2015-11-10_final
2015-11-10 11:52:37	ga_ls7e_ard_3-1-0_115077_2015-11-10_final
2015-11-11 10:57:01	ga_ls7e_ard_3-0-0_106077_2015-11-11_final
2015-11-12 10:01:25	ga_ls7e_ard_3-0-0_097077_2015-11-12_final
2017-01-01 11:41:56	ga_ls7e_ard_3-0-0_113077_2017-01-01_final
2017-01-03 09:50:40	ga_ls7e_ard_3-0-0_095077_2017-01-03_final
2017-01-03 11:29:33	ga_ls7e_ard_3-0-0_111077_2017-01-03_final
2017-01-04 10:33:55	ga_ls7e_ard_3-0-0_102077_2017-01-04_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
2017-03-06 11:41:46	ga_ls7e_ard_3-0-0_113077_2017-03-06_final
2017-03-10 09:38:11	ga_ls7e_ard_3-0-0_093077_2017-03-10_final
2017-03-10 11:17:04	ga_ls7e_ard_3-0-0_109077_2017-03-10_final
2017-03-11 10:21:27	ga_ls7e_ard_3-0-0_100077_2017-03-11_final
2017-03-20 10:15:19	ga_ls7e_ard_3-0-0_099077_2017-03-20_final
2017-03-20 11:53:48	ga_ls7e_ard_3-0-0_115076_2017-03-20_final
2017-03-20 11:54:12	ga_ls7e_ard_3-1-0_115077_2017-03-20_final
2017-03-21 10:58:35	ga_ls7e_ard_3-0-0_106077_2017-03-21_final
2017-03-22 10:02:58	ga_ls7e_ard_3-0-0_097077_2017-03-22_final
2017-03-22 11:41:51	ga_ls7e_ard_3-0-0_113077_2017-03-22_final
2017-03-23 10:46:14	ga_ls7e_ard_3-0-0_104077_2017-03-23_final
2017-03-24 09:50:37	ga_ls7e_ard_3-0-0_095077_2017-03-24_final
2017-03-25 10:33:53	ga_ls7e_ard_3-0-0_102077_2017-03-25_final
2017-03-26 09:38:16	ga_ls7e_ard_3-0-0_093077_2017-03-26_final
2017-04-21 10:15:06	ga_ls7e_ard_3-0-0_099076_2017-04-21_final
2017-04-21 10:15:30	ga_ls7e_ard_3-0-0_099077_2017-04-21_final
2017-04-21 11:54:23	ga_ls7e_ard_3-1-0_115077_2017-04-21_final
2017-04-22 09:19:53	ga_ls7e_ard_3-0-0_090077_2017-04-21_final
2017-04-22 10:58:46	ga_ls7e_ard_3-0-0_106077_2017-04-22_final
2017-04-23 10:03:09	ga_ls7e_ard_3-0-0_097077_2017-04-23_final
2017-04-23 11:42:02	ga_ls7e_ard_3-0-0_113077_2017-04-23_final
2017-04-28 10:21:20	ga_ls7e_ard_3-0-0_100076_2017-04-28_final
2017-04-28 10:21:43	ga_ls7e_ard_3-0-0_100077_2017-04-28_final
2017-04-29 09:26:06	ga_ls7e_ard_3-0-0_091077_2017-04-28_final
2017-04-29 11:04:59	ga_ls7e_ard_3-0-0_107077_2017-04-29_final
2017-04-30 10:09:22	ga_ls7e_ard_3-0-0_098077_2017-04-30_final
2017-04-30 11:48:16	ga_ls7e_ard_3-0-0_114077_2017-04-30_final
2017-05-01 10:52:38	ga_ls7e_ard_3-0-0_105077_2017-05-01_final
2017-05-02 09:57:01	ga_ls7e_ard_3-0-0_096077_2017-05-02_final
2017-05-02 11:35:54	ga_ls7e_ard_3-0-0_112077_2017-05-02_final
2017-05-03 10:40:17	ga_ls7e_ard_3-0-0_103077_2017-05-03_final
2017-05-04 09:44:40	ga_ls7e_ard_3-0-0_094077_2017-05-04_final
2017-05-27 09:50:55	ga_ls7e_ard_3-0-0_095077_2017-05-27_final
2017-05-27 11:29:25	ga_ls7e_ard_3-1-0_111076_2017-05-27_final
2017-05-27 11:29:49	ga_ls7e_ard_3-0-0_111077_2017-05-27_final
2017-05-28 10:34:12	ga_ls7e_ard_3-0-0_102077_2017-05-28_final
2017-05-29 09:38:35	ga_ls7e_ard_3-0-0_093077_2017-05-29_final
2017-05-29 11:17:28	ga_ls7e_ard_3-0-0_109077_2017-05-29_final
2017-05-30 10:21:27	ga_ls7e_ard_3-0-0_100076_2017-05-30_final
2017-05-30 10:21:51	ga_ls7e_ard_3-0-0_100077_2017-05-30_final
2017-05-31 09:26:14	ga_ls7e_ard_3-0-0_091077_2017-05-30_final
2017-05-31 11:05:07	ga_ls7e_ard_3-0-0_107077_2017-05-31_final
2017-06-08 10:15:42	ga_ls7e_ard_3-0-0_099077_2017-06-08_final
2017-06-08 11:54:35	ga_ls7e_ard_3-1-0_115077_2017-06-08_final
2017-06-09 09:20:05	ga_ls7e_ard_3-0-0_090077_2017-06-08_final
2017-06-09 10:58:58	ga_ls7e_ard_3-0-0_106077_2017-06-09_final
2017-06-10 10:03:21	ga_ls7e_ard_3-0-0_097077_2017-06-10_final
2017-06-10 11:42:14	ga_ls7e_ard_3-0-0_113077_2017-06-10_final
2017-06-11 10:46:37	ga_ls7e_ard_3-0-0_104077_2017-06-11_final
2017-06-12 09:51:00	ga_ls7e_ard_3-0-0_095077_2017-06-12_final
2017-06-12 11:29:53	ga_ls7e_ard_3-0-0_111077_2017-06-12_final
2017-06-13 10:34:16	ga_ls7e_ard_3-0-0_102077_2017-06-13_final
2017-07-10 11:54:40	ga_ls7e_ard_3-1-0_115077_2017-07-10_final
2017-07-11 10:59:02	ga_ls7e_ard_3-0-0_106077_2017-07-11_final
2017-07-12 10:03:25	ga_ls7e_ard_3-0-0_097077_2017-07-12_final
2017-07-12 11:42:18	ga_ls7e_ard_3-0-0_113077_2017-07-12_final
2017-07-13 10:46:41	ga_ls7e_ard_3-0-0_104077_2017-07-13_final
2017-07-14 09:51:04	ga_ls7e_ard_3-0-0_095077_2017-07-14_final
2017-07-14 11:29:57	ga_ls7e_ard_3-0-0_111077_2017-07-14_final
2017-07-15 10:34:19	ga_ls7e_ard_3-0-0_102077_2017-07-15_final
2017-07-16 09:38:42	ga_ls7e_ard_3-0-0_093077_2017-07-16_final
2017-07-29 10:46:40	ga_ls7e_ard_3-0-0_104077_2017-07-29_final
2017-07-30 09:51:02	ga_ls7e_ard_3-0-0_095077_2017-07-30_final
2017-07-30 11:29:55	ga_ls7e_ard_3-0-0_111077_2017-07-30_final
2017-07-31 10:33:54	ga_ls7e_ard_3-0-0_102076_2017-07-31_final
2017-07-31 10:34:18	ga_ls7e_ard_3-0-0_102077_2017-07-31_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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