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
2011-02-02 11:31:50	ga_ls7e_ard_3-0-0_113074_2011-02-02_final
2011-02-02 11:32:38	ga_ls7e_ard_3-0-0_113076_2011-02-02_final
2011-02-02 11:33:02	ga_ls7e_ard_3-0-0_113077_2011-02-02_final
2011-02-02 11:33:26	ga_ls7e_ard_3-0-0_113078_2011-02-02_final
2011-02-02 11:33:50	ga_ls7e_ard_3-0-0_113079_2011-02-02_final
2011-02-02 11:34:14	ga_ls7e_ard_3-0-0_113080_2011-02-02_final
2011-02-04 11:23:05	ga_ls7e_ard_3-0-0_111083_2011-02-04_final
2011-02-09 11:38:03	ga_ls7e_ard_3-0-0_114074_2011-02-09_final
2011-02-09 11:38:27	ga_ls7e_ard_3-0-0_114075_2011-02-09_final
2011-02-09 11:38:51	ga_ls7e_ard_3-0-0_114076_2011-02-09_final
2011-07-21 11:27:46	ga_ls7e_ard_3-1-0_112079_2011-07-21_final
2011-07-21 11:28:10	ga_ls7e_ard_3-0-0_112080_2011-07-21_final
2011-07-21 11:28:34	ga_ls7e_ard_3-0-0_112081_2011-07-21_final
2011-07-21 11:28:58	ga_ls7e_ard_3-0-0_112082_2011-07-21_final
2011-07-21 11:29:22	ga_ls7e_ard_3-0-0_112083_2011-07-21_final
2011-07-21 11:29:46	ga_ls7e_ard_3-0-0_112084_2011-07-21_final
2015-08-17 11:35:18	ga_ls7e_ard_3-0-0_112082_2015-08-17_final
2015-09-02 11:34:06	ga_ls7e_ard_3-0-0_112079_2015-09-02_final
2015-09-02 11:34:30	ga_ls7e_ard_3-0-0_112080_2015-09-02_final
2015-09-09 11:38:20	ga_ls7e_ard_3-0-0_113074_2015-09-09_final
2015-09-09 11:38:44	ga_ls7e_ard_3-0-0_113075_2015-09-09_final
2015-09-09 11:39:08	ga_ls7e_ard_3-0-0_113076_2015-09-09_final
2015-09-09 11:39:32	ga_ls7e_ard_3-0-0_113077_2015-09-09_final
2015-09-09 11:39:56	ga_ls7e_ard_3-0-0_113078_2015-09-09_final
2015-09-09 11:40:20	ga_ls7e_ard_3-0-0_113079_2015-09-09_final
2015-09-09 11:40:44	ga_ls7e_ard_3-1-0_113080_2015-09-09_final
2015-09-25 11:38:25	ga_ls7e_ard_3-0-0_113074_2015-09-25_final
2015-09-25 11:38:49	ga_ls7e_ard_3-0-0_113075_2015-09-25_final
2015-09-25 11:39:13	ga_ls7e_ard_3-0-0_113076_2015-09-25_final
2015-09-25 11:39:37	ga_ls7e_ard_3-0-0_113077_2015-09-25_final
2015-09-25 11:40:00	ga_ls7e_ard_3-0-0_113078_2015-09-25_final
2015-09-25 11:40:24	ga_ls7e_ard_3-0-0_113079_2015-09-25_final
2015-09-25 11:40:48	ga_ls7e_ard_3-0-0_113080_2015-09-25_final
2015-10-04 11:34:13	ga_ls7e_ard_3-0-0_112079_2015-10-04_final
2015-10-04 11:34:37	ga_ls7e_ard_3-0-0_112080_2015-10-04_final
2015-10-04 11:35:01	ga_ls7e_ard_3-0-0_112081_2015-10-04_final
2015-10-04 11:35:25	ga_ls7e_ard_3-0-0_112082_2015-10-04_final
2015-10-04 11:35:49	ga_ls7e_ard_3-0-0_112083_2015-10-04_final
2015-10-04 11:36:13	ga_ls7e_ard_3-1-0_112084_2015-10-04_final
2015-10-13 11:29:26	ga_ls7e_ard_3-1-0_111082_2015-10-13_final
2015-10-13 11:29:50	ga_ls7e_ard_3-0-0_111083_2015-10-13_final
2015-10-13 11:30:14	ga_ls7e_ard_3-0-0_111084_2015-10-13_final
2015-12-16 11:30:28	ga_ls7e_ard_3-1-0_111082_2015-12-16_final
2015-12-16 11:30:52	ga_ls7e_ard_3-0-0_111083_2015-12-16_final
2015-12-16 11:31:16	ga_ls7e_ard_3-0-0_111084_2015-12-16_final
2015-12-21 11:45:53	ga_ls7e_ard_3-0-0_114074_2015-12-21_final
2015-12-21 11:46:17	ga_ls7e_ard_3-0-0_114075_2015-12-21_final
2016-01-08 11:35:23	ga_ls7e_ard_3-0-0_112078_2016-01-08_final
2016-01-08 11:35:47	ga_ls7e_ard_3-0-0_112079_2016-01-08_final
2016-01-08 11:36:11	ga_ls7e_ard_3-0-0_112080_2016-01-08_final
2016-01-08 11:36:35	ga_ls7e_ard_3-0-0_112081_2016-01-08_final
2016-01-08 11:36:59	ga_ls7e_ard_3-0-0_112082_2016-01-08_final
2016-01-08 11:37:23	ga_ls7e_ard_3-0-0_112083_2016-01-08_final
2016-01-08 11:37:47	ga_ls7e_ard_3-0-0_112084_2016-01-08_final
2016-03-28 11:37:37	ga_ls7e_ard_3-0-0_112082_2016-03-28_final
2016-03-28 11:38:01	ga_ls7e_ard_3-0-0_112083_2016-03-28_final
2019-07-20 11:17:57	ga_ls7e_ard_3-0-0_111083_2019-07-20_final
2019-07-20 11:18:21	ga_ls7e_ard_3-0-0_111084_2019-07-20_final
2019-08-03 11:26:10	ga_ls7e_ard_3-0-0_113074_2019-08-03_final
2019-08-03 11:26:34	ga_ls7e_ard_3-0-0_113075_2019-08-03_final
2019-08-03 11:26:58	ga_ls7e_ard_3-0-0_113076_2019-08-03_final
2019-08-03 11:27:22	ga_ls7e_ard_3-0-0_113077_2019-08-03_final
2019-08-03 11:27:45	ga_ls7e_ard_3-0-0_113078_2019-08-03_final
2019-08-03 11:28:09	ga_ls7e_ard_3-0-0_113079_2019-08-03_final
2019-08-03 11:28:33	ga_ls7e_ard_3-0-0_113080_2019-08-03_final
2019-08-05 11:17:19	ga_ls7e_ard_3-0-0_111083_2019-08-05_final
2019-09-29 11:19:32	ga_ls7e_ard_3-1-0_112079_2019-09-29_final
2019-09-29 11:19:56	ga_ls7e_ard_3-1-0_112080_2019-09-29_final
2019-09-29 11:20:20	ga_ls7e_ard_3-1-0_112081_2019-09-29_final
2019-09-29 11:20:44	ga_ls7e_ard_3-1-0_112082_2019-09-29_final
2019-09-29 11:21:08	ga_ls7e_ard_3-1-0_112083_2019-09-29_final
2019-09-29 11:21:32	ga_ls7e_ard_3-1-0_112084_2019-09-29_final
2019-10-24 11:13:54	ga_ls7e_ard_3-1-0_111083_2019-10-24_final
2019-10-24 11:14:18	ga_ls7e_ard_3-1-0_111084_2019-10-24_final
2019-10-29 11:28:38	ga_ls7e_ard_3-1-0_114074_2019-10-29_final
2019-10-29 11:29:02	ga_ls7e_ard_3-1-0_114075_2019-10-29_final
2019-10-29 11:29:26	ga_ls7e_ard_3-1-0_114076_2019-10-29_final
2019-11-09 11:13:11	ga_ls7e_ard_3-1-0_111083_2019-11-09_final
2019-11-09 11:13:35	ga_ls7e_ard_3-1-0_111084_2019-11-09_final
2019-11-14 11:27:54	ga_ls7e_ard_3-1-0_114074_2019-11-14_final
2019-11-14 11:28:18	ga_ls7e_ard_3-1-0_114075_2019-11-14_final
2019-11-14 11:28:42	ga_ls7e_ard_3-1-0_114076_2019-11-14_final
2019-11-25 11:12:26	ga_ls7e_ard_3-1-0_111083_2019-11-25_final
2019-11-25 11:12:50	ga_ls7e_ard_3-1-0_111084_2019-11-25_final
2019-11-30 11:27:09	ga_ls7e_ard_3-1-0_114074_2019-11-30_final
2019-11-30 11:27:33	ga_ls7e_ard_3-1-0_114075_2019-11-30_final
2019-11-30 11:27:57	ga_ls7e_ard_3-1-0_114076_2019-11-30_final
2019-12-27 11:10:50	ga_ls7e_ard_3-1-0_111083_2019-12-27_final
2019-12-27 11:11:14	ga_ls7e_ard_3-1-0_111084_2019-12-27_final
2020-01-17 11:24:43	ga_ls7e_ard_3-1-0_114074_2020-01-17_final
2020-01-17 11:25:07	ga_ls7e_ard_3-1-0_114075_2020-01-17_final
2020-01-17 11:25:31	ga_ls7e_ard_3-1-0_114076_2020-01-17_final
2020-01-19 11:14:15	ga_ls7e_ard_3-1-0_112079_2020-01-19_final
2020-01-19 11:14:39	ga_ls7e_ard_3-1-0_112080_2020-01-19_final
2020-01-19 11:15:03	ga_ls7e_ard_3-1-0_112081_2020-01-19_final
2020-01-19 11:15:27	ga_ls7e_ard_3-1-0_112082_2020-01-19_final
2020-01-19 11:15:51	ga_ls7e_ard_3-1-0_112083_2020-01-19_final
2020-01-19 11:16:15	ga_ls7e_ard_3-1-0_112084_2020-01-19_final
2021-05-29 10:42:40	ga_ls7e_ard_3-2-0_112083_2021-05-29_final
2021-05-29 10:43:04	ga_ls7e_ard_3-2-0_112084_2021-05-29_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