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
2015-08-14 11:00:24	ga_ls7e_ard_3-0-0_107072_2015-08-14_final
2015-08-16 10:47:39	ga_ls7e_ard_3-0-0_105071_2015-08-16_final
2015-08-16 10:48:03	ga_ls7e_ard_3-0-0_105072_2015-08-16_final
2015-08-17 09:52:02	ga_ls7e_ard_3-0-0_096071_2015-08-17_final
2015-08-17 09:52:26	ga_ls7e_ard_3-0-0_096072_2015-08-17_final
2015-09-15 11:00:06	ga_ls7e_ard_3-0-0_107071_2015-09-15_final
2015-09-15 11:00:30	ga_ls7e_ard_3-0-0_107072_2015-09-15_final
2015-09-16 10:04:29	ga_ls7e_ard_3-0-0_098071_2015-09-16_final
2015-09-16 10:04:53	ga_ls7e_ard_3-0-0_098072_2015-09-16_final
2015-09-17 10:47:45	ga_ls7e_ard_3-0-0_105071_2015-09-17_final
2015-09-17 10:48:09	ga_ls7e_ard_3-0-0_105072_2015-09-17_final
2015-09-18 09:52:08	ga_ls7e_ard_3-0-0_096071_2015-09-18_final
2015-09-18 09:52:32	ga_ls7e_ard_3-0-0_096072_2015-09-18_final
2015-09-19 10:35:24	ga_ls7e_ard_3-0-0_103071_2015-09-19_final
2015-09-19 10:35:48	ga_ls7e_ard_3-0-0_103072_2015-09-19_final
2015-11-07 11:19:16	ga_ls7e_ard_3-0-0_110071_2015-11-07_final
2015-11-07 11:19:40	ga_ls7e_ard_3-1-0_110072_2015-11-07_final
2015-11-08 10:23:40	ga_ls7e_ard_3-0-0_101071_2015-11-08_final
2015-11-08 10:24:04	ga_ls7e_ard_3-0-0_101072_2015-11-08_final
2015-11-09 11:06:57	ga_ls7e_ard_3-0-0_108071_2015-11-09_final
2015-11-09 11:07:21	ga_ls7e_ard_3-0-0_108072_2015-11-09_final
2015-11-10 10:11:20	ga_ls7e_ard_3-0-0_099071_2015-11-10_final
2015-11-10 10:11:44	ga_ls7e_ard_3-0-0_099072_2015-11-10_final
2015-11-11 10:54:37	ga_ls7e_ard_3-0-0_106071_2015-11-11_final
2015-11-11 10:55:01	ga_ls7e_ard_3-0-0_106072_2015-11-11_final
2015-11-12 09:59:01	ga_ls7e_ard_3-0-0_097071_2015-11-12_final
2015-11-12 09:59:25	ga_ls7e_ard_3-0-0_097072_2015-11-12_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
2017-01-03 09:48:41	ga_ls7e_ard_3-0-0_095072_2017-01-03_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
2017-03-20 10:12:55	ga_ls7e_ard_3-0-0_099071_2017-03-20_final
2017-03-20 10:13:19	ga_ls7e_ard_3-0-0_099072_2017-03-20_final
2017-03-21 10:56:11	ga_ls7e_ard_3-0-0_106071_2017-03-21_final
2017-03-21 10:56:35	ga_ls7e_ard_3-0-0_106072_2017-03-21_final
2017-03-22 10:00:34	ga_ls7e_ard_3-0-0_097071_2017-03-22_final
2017-03-23 10:43:50	ga_ls7e_ard_3-0-0_104071_2017-03-23_final
2017-03-23 10:44:14	ga_ls7e_ard_3-0-0_104072_2017-03-23_final
2017-03-25 10:31:29	ga_ls7e_ard_3-0-0_102071_2017-03-25_final
2017-03-25 10:31:53	ga_ls7e_ard_3-0-0_102072_2017-03-25_final
2017-04-21 10:13:07	ga_ls7e_ard_3-0-0_099071_2017-04-21_final
2017-04-21 10:13:31	ga_ls7e_ard_3-0-0_099072_2017-04-21_final
2017-04-22 10:56:23	ga_ls7e_ard_3-0-0_106071_2017-04-22_final
2017-04-22 10:56:47	ga_ls7e_ard_3-0-0_106072_2017-04-22_final
2017-04-23 10:00:46	ga_ls7e_ard_3-0-0_097071_2017-04-23_final
2017-04-23 10:01:10	ga_ls7e_ard_3-0-0_097072_2017-04-23_final
2017-04-28 10:19:20	ga_ls7e_ard_3-0-0_100071_2017-04-28_final
2017-04-28 10:19:44	ga_ls7e_ard_3-0-0_100072_2017-04-28_final
2017-04-29 11:02:36	ga_ls7e_ard_3-0-0_107071_2017-04-29_final
2017-04-29 11:03:00	ga_ls7e_ard_3-0-0_107072_2017-04-29_final
2017-04-30 10:06:59	ga_ls7e_ard_3-0-0_098071_2017-04-30_final
2017-04-30 10:07:23	ga_ls7e_ard_3-0-0_098072_2017-04-30_final
2017-05-01 10:50:15	ga_ls7e_ard_3-0-0_105071_2017-05-01_final
2017-05-01 10:50:39	ga_ls7e_ard_3-0-0_105072_2017-05-01_final
2017-05-02 09:54:38	ga_ls7e_ard_3-0-0_096071_2017-05-02_final
2017-05-02 09:55:02	ga_ls7e_ard_3-0-0_096072_2017-05-02_final
2017-05-03 10:37:54	ga_ls7e_ard_3-0-0_103071_2017-05-03_final
2017-05-03 10:38:18	ga_ls7e_ard_3-0-0_103072_2017-05-03_final
2017-05-27 11:27:25	ga_ls7e_ard_3-0-0_111071_2017-05-27_final
2017-05-27 11:27:49	ga_ls7e_ard_3-0-0_111072_2017-05-27_final
2017-05-28 10:31:48	ga_ls7e_ard_3-0-0_102071_2017-05-28_final
2017-05-28 10:32:12	ga_ls7e_ard_3-0-0_102072_2017-05-28_final
2017-05-29 11:15:04	ga_ls7e_ard_3-0-0_109071_2017-05-29_final
2017-05-29 11:15:28	ga_ls7e_ard_3-0-0_109072_2017-05-29_final
2017-05-30 10:19:27	ga_ls7e_ard_3-0-0_100071_2017-05-30_final
2017-05-30 10:19:51	ga_ls7e_ard_3-0-0_100072_2017-05-30_final
2017-05-31 11:02:43	ga_ls7e_ard_3-0-0_107071_2017-05-31_final
2017-05-31 11:03:07	ga_ls7e_ard_3-0-0_107072_2017-05-31_final
2017-06-08 10:13:19	ga_ls7e_ard_3-0-0_099071_2017-06-08_final
2017-06-08 10:13:43	ga_ls7e_ard_3-0-0_099072_2017-06-08_final
2017-06-09 10:56:35	ga_ls7e_ard_3-0-0_106071_2017-06-09_final
2017-06-09 10:56:59	ga_ls7e_ard_3-0-0_106072_2017-06-09_final
2017-06-10 10:00:58	ga_ls7e_ard_3-0-0_097071_2017-06-10_final
2017-06-11 10:44:14	ga_ls7e_ard_3-0-0_104071_2017-06-11_final
2017-06-11 10:44:38	ga_ls7e_ard_3-0-0_104072_2017-06-11_final
2017-06-12 09:49:00	ga_ls7e_ard_3-0-0_095072_2017-06-12_final
2017-06-12 11:27:30	ga_ls7e_ard_3-0-0_111071_2017-06-12_final
2017-06-12 11:27:53	ga_ls7e_ard_3-0-0_111072_2017-06-12_final
2017-06-13 10:31:52	ga_ls7e_ard_3-0-0_102071_2017-06-13_final
2017-06-13 10:32:16	ga_ls7e_ard_3-0-0_102072_2017-06-13_final
2017-07-10 10:13:23	ga_ls7e_ard_3-0-0_099071_2017-07-10_final
2017-07-10 10:13:47	ga_ls7e_ard_3-0-0_099072_2017-07-10_final
2017-07-11 10:56:39	ga_ls7e_ard_3-0-0_106071_2017-07-11_final
2017-07-11 10:57:03	ga_ls7e_ard_3-0-0_106072_2017-07-11_final
2017-07-12 10:01:02	ga_ls7e_ard_3-0-0_097071_2017-07-12_final
2017-07-12 10:01:25	ga_ls7e_ard_3-0-0_097072_2017-07-12_final
2017-07-13 10:44:17	ga_ls7e_ard_3-0-0_104071_2017-07-13_final
2017-07-13 10:44:41	ga_ls7e_ard_3-0-0_104072_2017-07-13_final
2017-07-14 09:49:04	ga_ls7e_ard_3-0-0_095072_2017-07-14_final
2017-07-14 11:27:33	ga_ls7e_ard_3-0-0_111071_2017-07-14_final
2017-07-14 11:27:57	ga_ls7e_ard_3-0-0_111072_2017-07-14_final
2017-07-15 10:31:56	ga_ls7e_ard_3-0-0_102071_2017-07-15_final
2017-07-15 10:32:20	ga_ls7e_ard_3-0-0_102072_2017-07-15_final
2017-07-29 10:44:16	ga_ls7e_ard_3-0-0_104071_2017-07-29_final
2017-07-29 10:44:40	ga_ls7e_ard_3-0-0_104072_2017-07-29_final
2017-07-30 09:49:03	ga_ls7e_ard_3-0-0_095072_2017-07-30_final
2017-07-30 11:27:32	ga_ls7e_ard_3-0-0_111071_2017-07-30_final
2017-07-30 11:27:56	ga_ls7e_ard_3-0-0_111072_2017-07-30_final
2017-07-31 10:31:54	ga_ls7e_ard_3-0-0_102071_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

All years