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
2013-08-26 09:07:31	ga_ls7e_ard_3-0-0_089079_2013-08-25_final
2013-08-26 09:07:55	ga_ls7e_ard_3-0-0_089080_2013-08-25_final
2013-08-26 09:08:19	ga_ls7e_ard_3-1-0_089081_2013-08-25_final
2013-08-26 09:08:43	ga_ls7e_ard_3-0-0_089082_2013-08-25_final
2013-08-26 09:09:07	ga_ls7e_ard_3-0-0_089083_2013-08-25_final
2013-08-26 09:09:31	ga_ls7e_ard_3-0-0_089084_2013-08-25_final
2013-09-18 09:13:10	ga_ls7e_ard_3-0-0_090077_2013-09-17_final
2013-09-18 09:13:34	ga_ls7e_ard_3-0-0_090078_2013-09-17_final
2013-09-18 09:13:58	ga_ls7e_ard_3-0-0_090079_2013-09-17_final
2013-09-18 09:14:22	ga_ls7e_ard_3-0-0_090080_2013-09-17_final
2013-09-20 09:02:49	ga_ls7e_ard_3-0-0_088082_2013-09-19_final
2016-06-29 09:25:51	ga_ls7e_ard_3-0-0_091076_2016-06-28_final
2016-08-25 09:20:09	ga_ls7e_ard_3-0-0_090077_2016-08-24_final
2016-08-25 09:20:33	ga_ls7e_ard_3-0-0_090078_2016-08-24_final
2016-08-25 09:20:57	ga_ls7e_ard_3-0-0_090079_2016-08-24_final
2016-09-17 09:26:00	ga_ls7e_ard_3-0-0_091076_2016-09-16_final
2016-10-05 09:14:28	ga_ls7e_ard_3-0-0_089078_2016-10-04_final
2016-10-05 09:14:52	ga_ls7e_ard_3-0-0_089079_2016-10-04_final
2016-10-05 09:15:16	ga_ls7e_ard_3-0-0_089080_2016-10-04_final
2016-10-05 09:15:40	ga_ls7e_ard_3-1-0_089081_2016-10-04_final
2016-10-05 09:16:04	ga_ls7e_ard_3-0-0_089082_2016-10-04_final
2016-10-05 09:16:28	ga_ls7e_ard_3-0-0_089083_2016-10-04_final
2016-10-05 09:16:52	ga_ls7e_ard_3-0-0_089084_2016-10-04_final
2016-11-22 09:14:15	ga_ls7e_ard_3-0-0_089078_2016-11-21_final
2016-11-22 09:14:39	ga_ls7e_ard_3-0-0_089079_2016-11-21_final
2016-11-22 09:15:03	ga_ls7e_ard_3-0-0_089080_2016-11-21_final
2016-11-22 09:15:26	ga_ls7e_ard_3-1-0_089081_2016-11-21_final
2016-11-22 09:15:50	ga_ls7e_ard_3-0-0_089082_2016-11-21_final
2016-11-22 09:16:14	ga_ls7e_ard_3-0-0_089083_2016-11-21_final
2016-11-22 09:16:38	ga_ls7e_ard_3-0-0_089084_2016-11-21_final
2016-11-29 09:20:01	ga_ls7e_ard_3-0-0_090077_2016-11-28_final
2016-11-29 09:20:25	ga_ls7e_ard_3-0-0_090078_2016-11-28_final
2016-11-29 09:20:49	ga_ls7e_ard_3-0-0_090079_2016-11-28_final
2016-11-29 09:21:12	ga_ls7e_ard_3-0-0_090080_2016-11-28_final
2016-12-31 09:19:49	ga_ls7e_ard_3-0-0_090077_2016-12-30_final
2016-12-31 09:20:13	ga_ls7e_ard_3-0-0_090078_2016-12-30_final
2016-12-31 09:20:37	ga_ls7e_ard_3-0-0_090079_2016-12-30_final
2016-12-31 09:21:01	ga_ls7e_ard_3-0-0_090080_2016-12-30_final
2017-01-16 09:19:38	ga_ls7e_ard_3-0-0_090077_2017-01-15_final
2017-01-16 09:20:02	ga_ls7e_ard_3-0-0_090078_2017-01-15_final
2017-01-16 09:20:26	ga_ls7e_ard_3-0-0_090079_2017-01-15_final
2017-01-16 09:20:50	ga_ls7e_ard_3-0-0_090080_2017-01-15_final
2017-01-25 09:14:09	ga_ls7e_ard_3-0-0_089079_2017-01-24_final
2017-01-25 09:14:33	ga_ls7e_ard_3-0-0_089080_2017-01-24_final
2017-01-25 09:14:56	ga_ls7e_ard_3-1-0_089081_2017-01-24_final
2017-02-01 09:19:30	ga_ls7e_ard_3-0-0_090077_2017-01-31_final
2017-02-01 09:19:54	ga_ls7e_ard_3-0-0_090078_2017-01-31_final
2017-02-01 09:20:18	ga_ls7e_ard_3-0-0_090079_2017-01-31_final
2017-02-01 09:20:42	ga_ls7e_ard_3-0-0_090080_2017-01-31_final
2017-06-02 09:14:16	ga_ls7e_ard_3-0-0_089078_2017-06-01_final
2017-06-02 09:14:40	ga_ls7e_ard_3-0-0_089079_2017-06-01_final
2017-06-02 09:15:04	ga_ls7e_ard_3-0-0_089080_2017-06-01_final
2017-06-02 09:15:28	ga_ls7e_ard_3-1-0_089081_2017-06-01_final
2017-06-02 09:15:52	ga_ls7e_ard_3-0-0_089082_2017-06-01_final
2017-06-02 09:16:16	ga_ls7e_ard_3-0-0_089083_2017-06-01_final
2017-06-02 09:16:40	ga_ls7e_ard_3-0-0_089084_2017-06-01_final
2017-07-20 09:14:22	ga_ls7e_ard_3-0-0_089078_2017-07-19_final
2017-07-20 09:14:46	ga_ls7e_ard_3-0-0_089079_2017-07-19_final
2017-07-20 09:15:10	ga_ls7e_ard_3-0-0_089080_2017-07-19_final
2017-07-20 09:15:34	ga_ls7e_ard_3-1-0_089081_2017-07-19_final
2017-07-20 09:15:58	ga_ls7e_ard_3-0-0_089082_2017-07-19_final
2017-07-20 09:16:22	ga_ls7e_ard_3-0-0_089083_2017-07-19_final
2017-07-20 09:16:46	ga_ls7e_ard_3-0-0_089084_2017-07-19_final
2017-07-27 09:20:09	ga_ls7e_ard_3-0-0_090077_2017-07-26_final
2017-07-27 09:20:33	ga_ls7e_ard_3-0-0_090078_2017-07-26_final
2017-07-27 09:20:57	ga_ls7e_ard_3-0-0_090079_2017-07-26_final
2017-07-27 09:21:21	ga_ls7e_ard_3-0-0_090080_2017-07-26_final
2017-08-05 09:14:21	ga_ls7e_ard_3-0-0_089078_2017-08-04_final
2017-08-05 09:14:45	ga_ls7e_ard_3-0-0_089079_2017-08-04_final
2017-08-05 09:15:08	ga_ls7e_ard_3-0-0_089080_2017-08-04_final
2017-08-05 09:15:32	ga_ls7e_ard_3-1-0_089081_2017-08-04_final
2017-08-05 09:15:56	ga_ls7e_ard_3-0-0_089082_2017-08-04_final
2017-08-05 09:16:20	ga_ls7e_ard_3-0-0_089083_2017-08-04_final
2017-08-05 09:16:44	ga_ls7e_ard_3-0-0_089084_2017-08-04_final
2017-08-12 09:20:06	ga_ls7e_ard_3-0-0_090077_2017-08-11_final
2017-08-12 09:20:30	ga_ls7e_ard_3-0-0_090078_2017-08-11_final
2017-08-12 09:20:54	ga_ls7e_ard_3-0-0_090079_2017-08-11_final
2017-08-12 09:21:18	ga_ls7e_ard_3-0-0_090080_2017-08-11_final
2017-09-13 09:20:05	ga_ls7e_ard_3-0-0_090077_2017-09-12_final
2017-09-13 09:20:29	ga_ls7e_ard_3-0-0_090078_2017-09-12_final
2017-09-13 09:20:53	ga_ls7e_ard_3-0-0_090079_2017-09-12_final
2017-09-13 09:21:17	ga_ls7e_ard_3-0-0_090080_2017-09-12_final
2017-09-22 09:14:18	ga_ls7e_ard_3-0-0_089078_2017-09-21_final
2017-09-22 09:14:42	ga_ls7e_ard_3-0-0_089079_2017-09-21_final
2017-09-22 09:15:06	ga_ls7e_ard_3-0-0_089080_2017-09-21_final
2017-10-08 09:14:44	ga_ls7e_ard_3-0-0_089079_2017-10-07_final
2017-10-08 09:15:08	ga_ls7e_ard_3-0-0_089080_2017-10-07_final
2017-10-08 09:15:32	ga_ls7e_ard_3-1-0_089081_2017-10-07_final
2017-10-08 09:15:56	ga_ls7e_ard_3-0-0_089082_2017-10-07_final
2017-10-08 09:16:19	ga_ls7e_ard_3-0-0_089083_2017-10-07_final
2017-10-08 09:16:43	ga_ls7e_ard_3-0-0_089084_2017-10-07_final
2017-12-02 09:19:59	ga_ls7e_ard_3-0-0_090077_2017-12-01_final
2017-12-02 09:20:47	ga_ls7e_ard_3-0-0_090079_2017-12-01_final
2018-03-31 09:24:16	ga_ls7e_ard_3-0-0_091076_2018-03-30_final
2019-08-25 09:10:05	ga_ls7e_ard_3-1-0_091076_2019-08-24_final
2019-09-12 08:58:08	ga_ls7e_ard_3-1-0_089079_2019-09-11_final
2019-09-12 08:58:32	ga_ls7e_ard_3-1-0_089080_2019-09-11_final
2019-09-12 08:58:56	ga_ls7e_ard_3-1-0_089081_2019-09-11_final
2019-09-12 08:59:20	ga_ls7e_ard_3-1-0_089082_2019-09-11_final
2019-09-12 08:59:44	ga_ls7e_ard_3-1-0_089083_2019-09-11_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