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
1999-12-17 09:15:14	ga_ls7e_ard_3-0-0_090089_1999-12-16_final
1999-12-31 09:27:26	ga_ls7e_ard_3-0-0_092089_1999-12-30_final
2000-04-07 09:14:43	ga_ls7e_ard_3-0-0_090089_2000-04-06_final
2003-02-18 09:17:09	ga_ls7e_ard_3-0-0_091089_2003-02-17_final
2003-03-15 09:11:01	ga_ls7e_ard_3-0-0_090089_2003-03-14_final
2003-05-02 09:11:03	ga_ls7e_ard_3-0-0_090089_2003-05-01_final
2003-09-23 09:10:29	ga_ls7e_ard_3-0-0_090089_2003-09-22_final
2003-11-01 09:16:53	ga_ls7e_ard_3-1-0_091089_2003-10-31_final
2004-10-02 09:17:02	ga_ls7e_ard_3-0-0_091089_2004-10-01_final
2004-12-05 09:17:37	ga_ls7e_ard_3-0-0_091089_2004-12-04_final
2005-01-15 09:11:41	ga_ls7e_ard_3-0-0_090089_2005-01-14_final
2005-02-07 09:18:00	ga_ls7e_ard_3-0-0_091089_2005-02-06_final
2005-02-09 09:05:39	ga_ls7e_ard_3-0-0_089089_2005-02-08_final
2005-03-04 09:11:58	ga_ls7e_ard_3-0-0_090089_2005-03-03_final
2005-05-07 09:11:54	ga_ls7e_ard_3-0-0_090089_2005-05-06_final
2005-06-15 09:17:55	ga_ls7e_ard_3-0-0_091089_2005-06-14_final
2006-04-01 09:06:11	ga_ls7e_ard_3-0-0_089089_2006-03-31_final
2006-04-08 09:12:20	ga_ls7e_ard_3-0-0_090089_2006-04-07_final
2006-04-17 09:06:06	ga_ls7e_ard_3-1-0_089089_2006-04-16_final
2006-05-03 09:06:09	ga_ls7e_ard_3-0-0_089089_2006-05-02_final
2006-05-10 09:12:21	ga_ls7e_ard_3-0-0_090089_2006-05-09_final
2006-06-02 09:18:31	ga_ls7e_ard_3-1-0_091089_2006-06-01_final
2006-06-04 09:06:09	ga_ls7e_ard_3-1-0_089089_2006-06-03_final
2006-06-09 09:24:40	ga_ls7e_ard_3-0-0_092089_2006-06-08_final
2006-06-11 09:12:18	ga_ls7e_ard_3-0-0_090089_2006-06-10_final
2006-06-18 09:18:27	ga_ls7e_ard_3-0-0_091089_2006-06-17_final
2006-06-27 09:12:13	ga_ls7e_ard_3-0-0_090089_2006-06-26_final
2006-07-06 09:05:58	ga_ls7e_ard_3-1-0_089089_2006-07-05_final
2006-07-11 09:24:28	ga_ls7e_ard_3-1-0_092089_2006-07-10_final
2006-07-13 09:12:06	ga_ls7e_ard_3-0-0_090089_2006-07-12_final
2006-07-22 09:05:50	ga_ls7e_ard_3-0-0_089089_2006-07-21_final
2006-08-05 09:18:09	ga_ls7e_ard_3-0-0_091089_2006-08-04_final
2006-08-23 09:05:45	ga_ls7e_ard_3-1-0_089089_2006-08-22_final
2006-08-30 09:11:55	ga_ls7e_ard_3-0-0_090089_2006-08-29_final
2006-09-13 09:24:12	ga_ls7e_ard_3-0-0_092089_2006-09-12_final
2006-09-15 09:11:50	ga_ls7e_ard_3-0-0_090089_2006-09-14_final
2006-10-01 09:11:42	ga_ls7e_ard_3-0-0_090089_2006-09-30_final
2006-10-10 09:05:29	ga_ls7e_ard_3-0-0_089089_2006-10-09_final
2006-10-15 09:24:07	ga_ls7e_ard_3-0-0_092089_2006-10-14_final
2006-10-17 09:11:48	ga_ls7e_ard_3-0-0_090089_2006-10-16_final
2006-10-24 09:18:05	ga_ls7e_ard_3-0-0_091089_2006-10-23_final
2006-10-26 09:05:46	ga_ls7e_ard_3-1-0_089089_2006-10-25_final
2006-10-31 09:24:23	ga_ls7e_ard_3-0-0_092089_2006-10-30_final
2006-11-16 09:24:35	ga_ls7e_ard_3-0-0_092089_2006-11-15_final
2006-11-18 09:12:15	ga_ls7e_ard_3-0-0_090089_2006-11-17_final
2006-11-27 09:06:09	ga_ls7e_ard_3-1-0_089089_2006-11-26_final
2006-12-02 09:24:44	ga_ls7e_ard_3-0-0_092089_2006-12-01_final
2006-12-04 09:12:24	ga_ls7e_ard_3-0-0_090089_2006-12-03_final
2016-03-09 09:30:31	ga_ls7e_ard_3-0-0_091089_2016-03-09_final
2016-03-25 09:30:37	ga_ls7e_ard_3-0-0_091089_2016-03-25_final
2016-04-01 09:36:49	ga_ls7e_ard_3-0-0_092089_2016-04-01_final
2016-04-03 09:24:27	ga_ls7e_ard_3-0-0_090089_2016-04-02_final
2016-04-19 09:24:35	ga_ls7e_ard_3-0-0_090089_2016-04-18_final
2016-05-12 09:30:52	ga_ls7e_ard_3-0-0_091089_2016-05-12_final
2016-05-21 09:24:43	ga_ls7e_ard_3-0-0_090089_2016-05-20_final
2016-08-23 09:37:18	ga_ls7e_ard_3-0-0_092089_2016-08-23_final
2016-08-25 09:24:57	ga_ls7e_ard_3-0-0_090089_2016-08-24_final
2016-09-17 09:31:11	ga_ls7e_ard_3-0-0_091089_2016-09-17_final
2016-09-24 09:37:23	ga_ls7e_ard_3-0-0_092089_2016-09-24_final
2016-10-03 09:31:13	ga_ls7e_ard_3-0-0_091089_2016-10-03_final
2016-10-10 09:37:24	ga_ls7e_ard_3-0-0_092089_2016-10-10_final
2016-10-12 09:25:02	ga_ls7e_ard_3-0-0_090089_2016-10-11_final
2016-10-19 09:31:12	ga_ls7e_ard_3-0-0_091089_2016-10-19_final
2016-11-13 09:24:51	ga_ls7e_ard_3-0-0_090089_2016-11-12_final
2016-12-22 09:30:52	ga_ls7e_ard_3-0-0_091089_2016-12-22_final
2016-12-29 09:36:59	ga_ls7e_ard_3-0-0_092089_2016-12-29_final
2017-01-16 09:24:25	ga_ls7e_ard_3-0-0_090089_2017-01-15_final
2017-02-17 09:24:15	ga_ls7e_ard_3-0-0_090089_2017-02-16_final
2017-02-24 09:30:30	ga_ls7e_ard_3-0-0_091089_2017-02-24_final
2017-03-05 09:24:24	ga_ls7e_ard_3-0-0_090089_2017-03-04_final
2017-04-06 09:24:33	ga_ls7e_ard_3-0-0_090089_2017-04-05_final
2017-04-20 09:37:02	ga_ls7e_ard_3-0-0_092089_2017-04-20_final
2017-04-29 09:30:54	ga_ls7e_ard_3-0-0_091089_2017-04-29_final
2017-05-08 09:24:45	ga_ls7e_ard_3-0-0_090089_2017-05-07_final
2017-05-15 09:30:33	ga_ls7e_ard_3-0-0_091088_2017-05-15_final
2017-05-15 09:30:57	ga_ls7e_ard_3-0-0_091089_2017-05-15_final
2017-05-22 09:37:09	ga_ls7e_ard_3-0-0_092089_2017-05-22_final
2017-05-24 09:24:48	ga_ls7e_ard_3-0-0_090089_2017-05-23_final
2017-05-31 09:30:37	ga_ls7e_ard_3-0-0_091088_2017-05-31_final
2017-05-31 09:31:01	ga_ls7e_ard_3-0-0_091089_2017-05-31_final
2017-06-07 09:37:14	ga_ls7e_ard_3-0-0_092089_2017-06-07_final
2017-06-25 09:24:56	ga_ls7e_ard_3-0-0_090089_2017-06-24_final
2017-07-02 09:30:43	ga_ls7e_ard_3-0-0_091088_2017-07-02_final
2017-07-27 09:24:56	ga_ls7e_ard_3-0-0_090089_2017-07-26_final
2017-08-28 09:24:54	ga_ls7e_ard_3-0-0_090089_2017-08-27_final
2017-09-29 09:24:53	ga_ls7e_ard_3-0-0_090089_2017-09-28_final
2017-10-06 09:31:04	ga_ls7e_ard_3-0-0_091089_2017-10-06_final
2017-10-15 09:24:55	ga_ls7e_ard_3-0-0_090089_2017-10-14_final
2019-10-28 09:12:31	ga_ls7e_ard_3-1-0_091089_2019-10-27_final
2019-11-06 09:05:56	ga_ls7e_ard_3-1-0_090089_2019-11-05_final
2019-11-20 09:17:39	ga_ls7e_ard_3-1-0_092089_2019-11-19_final
2019-11-29 09:11:02	ga_ls7e_ard_3-1-0_091089_2019-11-28_final
2019-12-22 09:16:04	ga_ls7e_ard_3-1-0_092089_2019-12-21_final
2019-12-24 09:03:36	ga_ls7e_ard_3-1-0_090089_2019-12-23_final
2020-01-09 09:02:46	ga_ls7e_ard_3-1-0_090089_2020-01-08_final
2020-03-13 08:59:28	ga_ls7e_ard_3-1-0_090089_2020-03-12_final
2020-03-29 08:58:35	ga_ls7e_ard_3-1-0_090089_2020-03-28_final
2020-04-12 09:10:09	ga_ls7e_ard_3-1-0_092089_2020-04-11_final
2020-06-01 08:54:47	ga_ls7e_ard_3-1-0_090089_2020-05-31_final
2020-07-01 09:05:23	ga_ls7e_ard_3-1-0_092089_2020-06-30_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years