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
2014-04-17 11:25:59	ga_ls7e_ard_3-0-0_111081_2014-04-17_final
2014-04-17 11:26:23	ga_ls7e_ard_3-1-0_111082_2014-04-17_final
2014-04-17 11:26:47	ga_ls7e_ard_3-0-0_111083_2014-04-17_final
2014-04-17 11:27:11	ga_ls7e_ard_3-0-0_111084_2014-04-17_final
2014-05-17 11:35:47	ga_ls7e_ard_3-0-0_113074_2014-05-17_final
2014-05-17 11:36:11	ga_ls7e_ard_3-0-0_113075_2014-05-17_final
2014-05-17 11:36:35	ga_ls7e_ard_3-0-0_113076_2014-05-17_final
2014-05-17 11:36:59	ga_ls7e_ard_3-0-0_113077_2014-05-17_final
2014-05-17 11:37:23	ga_ls7e_ard_3-0-0_113078_2014-05-17_final
2014-06-02 11:35:50	ga_ls7e_ard_3-0-0_113074_2014-06-02_final
2014-06-02 11:36:14	ga_ls7e_ard_3-0-0_113075_2014-06-02_final
2014-06-02 11:36:38	ga_ls7e_ard_3-0-0_113076_2014-06-02_final
2014-06-02 11:37:02	ga_ls7e_ard_3-0-0_113077_2014-06-02_final
2014-06-02 11:37:26	ga_ls7e_ard_3-0-0_113078_2014-06-02_final
2014-07-27 11:39:26	ga_ls7e_ard_3-0-0_114067_2014-07-27_final
2014-07-29 11:31:05	ga_ls7e_ard_3-1-0_112077_2014-07-29_final
2014-07-29 11:31:29	ga_ls7e_ard_3-0-0_112078_2014-07-29_final
2014-07-29 11:31:53	ga_ls7e_ard_3-0-0_112079_2014-07-29_final
2014-07-29 11:32:17	ga_ls7e_ard_3-0-0_112080_2014-07-29_final
2014-07-29 11:32:41	ga_ls7e_ard_3-0-0_112081_2014-07-29_final
2014-08-30 11:31:05	ga_ls7e_ard_3-0-0_112077_2014-08-30_final
2014-08-30 11:31:29	ga_ls7e_ard_3-0-0_112078_2014-08-30_final
2014-08-30 11:31:53	ga_ls7e_ard_3-0-0_112079_2014-08-30_final
2014-08-30 11:32:17	ga_ls7e_ard_3-0-0_112080_2014-08-30_final
2014-10-15 11:39:48	ga_ls7e_ard_3-0-0_114067_2014-10-15_final
2014-10-17 11:31:28	ga_ls7e_ard_3-1-0_112077_2014-10-17_final
2014-10-17 11:31:52	ga_ls7e_ard_3-0-0_112078_2014-10-17_final
2014-10-17 11:32:16	ga_ls7e_ard_3-0-0_112079_2014-10-17_final
2014-10-17 11:32:40	ga_ls7e_ard_3-0-0_112080_2014-10-17_final
2014-10-17 11:33:04	ga_ls7e_ard_3-0-0_112081_2014-10-17_final
2014-10-17 11:33:28	ga_ls7e_ard_3-0-0_112082_2014-10-17_final
2014-12-11 11:36:52	ga_ls7e_ard_3-0-0_113074_2014-12-11_final
2014-12-11 11:37:16	ga_ls7e_ard_3-0-0_113075_2014-12-11_final
2014-12-11 11:37:39	ga_ls7e_ard_3-0-0_113076_2014-12-11_final
2014-12-11 11:38:03	ga_ls7e_ard_3-0-0_113077_2014-12-11_final
2014-12-11 11:38:27	ga_ls7e_ard_3-0-0_113078_2014-12-11_final
2015-04-20 11:28:06	ga_ls7e_ard_3-0-0_111081_2015-04-20_final
2015-04-20 11:28:30	ga_ls7e_ard_3-1-0_111082_2015-04-20_final
2015-04-20 11:28:54	ga_ls7e_ard_3-0-0_111083_2015-04-20_final
2015-04-20 11:29:18	ga_ls7e_ard_3-0-0_111084_2015-04-20_final
2015-05-11 11:41:14	ga_ls7e_ard_3-0-0_114067_2015-05-11_final
2015-05-13 11:32:53	ga_ls7e_ard_3-0-0_112077_2015-05-13_final
2015-05-13 11:33:17	ga_ls7e_ard_3-0-0_112078_2015-05-13_final
2015-05-13 11:33:41	ga_ls7e_ard_3-0-0_112079_2015-05-13_final
2015-05-13 11:34:05	ga_ls7e_ard_3-0-0_112080_2015-05-13_final
2015-05-13 11:34:29	ga_ls7e_ard_3-0-0_112081_2015-05-13_final
2015-05-13 11:34:53	ga_ls7e_ard_3-0-0_112082_2015-05-13_final
2015-08-10 11:28:42	ga_ls7e_ard_3-0-0_111081_2015-08-10_final
2015-08-10 11:29:06	ga_ls7e_ard_3-1-0_111082_2015-08-10_final
2015-08-10 11:29:30	ga_ls7e_ard_3-0-0_111083_2015-08-10_final
2015-08-10 11:29:54	ga_ls7e_ard_3-0-0_111084_2015-08-10_final
2018-09-24 11:39:33	ga_ls7e_ard_3-0-0_114067_2018-09-24_final
2018-09-24 11:42:20	ga_ls7e_ard_3-0-0_114074_2018-09-24_final
2018-09-26 11:31:08	ga_ls7e_ard_3-0-0_112077_2018-09-26_final
2018-09-26 11:31:32	ga_ls7e_ard_3-0-0_112078_2018-09-26_final
2018-09-26 11:31:56	ga_ls7e_ard_3-0-0_112079_2018-09-26_final
2018-09-26 11:32:20	ga_ls7e_ard_3-0-0_112080_2018-09-26_final
2018-09-26 11:32:44	ga_ls7e_ard_3-0-0_112081_2018-09-26_final
2018-09-26 11:33:08	ga_ls7e_ard_3-0-0_112082_2018-09-26_final
2018-10-26 11:41:35	ga_ls7e_ard_3-0-0_114074_2018-10-26_final
2018-10-28 11:30:23	ga_ls7e_ard_3-0-0_112077_2018-10-28_final
2018-10-28 11:30:47	ga_ls7e_ard_3-0-0_112078_2018-10-28_final
2018-10-28 11:31:11	ga_ls7e_ard_3-0-0_112079_2018-10-28_final
2018-10-28 11:31:35	ga_ls7e_ard_3-0-0_112080_2018-10-28_final
2018-10-28 11:31:59	ga_ls7e_ard_3-0-0_112081_2018-10-28_final
2018-10-28 11:32:23	ga_ls7e_ard_3-0-0_112082_2018-10-28_final
2018-10-28 11:32:47	ga_ls7e_ard_3-0-0_112083_2018-10-28_final
2018-12-13 11:37:37	ga_ls7e_ard_3-0-0_114067_2018-12-13_final
2018-12-15 11:29:11	ga_ls7e_ard_3-0-0_112077_2018-12-15_final
2018-12-15 11:29:35	ga_ls7e_ard_3-0-0_112078_2018-12-15_final
2018-12-15 11:29:59	ga_ls7e_ard_3-0-0_112079_2018-12-15_final
2018-12-15 11:30:23	ga_ls7e_ard_3-0-0_112080_2018-12-15_final
2018-12-15 11:30:47	ga_ls7e_ard_3-0-0_112081_2018-12-15_final
2018-12-15 11:31:11	ga_ls7e_ard_3-0-0_112082_2018-12-15_final
2019-01-23 11:32:59	ga_ls7e_ard_3-0-0_113074_2019-01-23_final
2019-01-23 11:33:23	ga_ls7e_ard_3-0-0_113075_2019-01-23_final
2019-01-23 11:33:46	ga_ls7e_ard_3-0-0_113076_2019-01-23_final
2019-01-23 11:34:10	ga_ls7e_ard_3-0-0_113077_2019-01-23_final
2019-01-23 11:34:34	ga_ls7e_ard_3-0-0_113078_2019-01-23_final
2019-01-25 11:23:21	ga_ls7e_ard_3-0-0_111081_2019-01-25_final
2019-01-25 11:23:45	ga_ls7e_ard_3-1-0_111082_2019-01-25_final
2019-01-25 11:24:08	ga_ls7e_ard_3-0-0_111083_2019-01-25_final
2019-01-25 11:24:32	ga_ls7e_ard_3-0-0_111084_2019-01-25_final
2019-02-08 11:32:29	ga_ls7e_ard_3-0-0_113074_2019-02-08_final
2019-02-08 11:32:53	ga_ls7e_ard_3-0-0_113075_2019-02-08_final
2019-02-08 11:33:17	ga_ls7e_ard_3-0-0_113076_2019-02-08_final
2019-02-08 11:33:41	ga_ls7e_ard_3-0-0_113077_2019-02-08_final
2019-02-08 11:34:05	ga_ls7e_ard_3-0-0_113078_2019-02-08_final
2019-02-10 11:22:52	ga_ls7e_ard_3-0-0_111081_2019-02-10_final
2019-02-10 11:23:16	ga_ls7e_ard_3-1-0_111082_2019-02-10_final
2019-02-10 11:23:40	ga_ls7e_ard_3-0-0_111083_2019-02-10_final
2019-02-10 11:24:03	ga_ls7e_ard_3-0-0_111084_2019-02-10_final
2019-05-31 11:28:36	ga_ls7e_ard_3-0-0_113074_2019-05-31_final
2019-05-31 11:29:00	ga_ls7e_ard_3-0-0_113075_2019-05-31_final
2019-05-31 11:29:24	ga_ls7e_ard_3-0-0_113076_2019-05-31_final
2019-05-31 11:29:48	ga_ls7e_ard_3-0-0_113077_2019-05-31_final
2019-05-31 11:30:12	ga_ls7e_ard_3-0-0_113078_2019-05-31_final
2019-06-02 11:18:58	ga_ls7e_ard_3-0-0_111081_2019-06-02_final
2019-06-02 11:19:22	ga_ls7e_ard_3-1-0_111082_2019-06-02_final
2019-06-02 11:19:46	ga_ls7e_ard_3-0-0_111083_2019-06-02_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

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years