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
1999-10-17 09:45:20	ga_ls7e_ard_3-0-0_095087_1999-10-17_final
1999-12-20 09:44:31	ga_ls7e_ard_3-0-0_095085_1999-12-20_final
2000-06-13 09:43:03	ga_ls7e_ard_3-0-0_095084_2000-06-13_final
2000-10-19 09:39:47	ga_ls7e_ard_3-0-0_095080_2000-10-19_final
2000-11-04 09:41:33	ga_ls7e_ard_3-0-0_095084_2000-11-04_final
2000-11-20 09:41:31	ga_ls7e_ard_3-0-0_095084_2000-11-20_final
2001-05-31 09:40:33	ga_ls7e_ard_3-0-0_095083_2001-05-31_final
2001-12-25 09:40:17	ga_ls7e_ard_3-0-0_095085_2001-12-25_final
2002-02-27 09:40:09	ga_ls7e_ard_3-0-0_095084_2002-02-27_final
2003-03-18 09:40:18	ga_ls7e_ard_3-0-0_095085_2003-03-18_final
2003-05-05 09:39:57	ga_ls7e_ard_3-0-0_095084_2003-05-05_final
2004-08-27 09:40:21	ga_ls7e_ard_3-1-0_095085_2004-08-27_final
2005-05-26 09:38:47	ga_ls7e_ard_3-1-0_095079_2005-05-26_final
2006-01-05 09:38:35	ga_ls7e_ard_3-0-0_095078_2006-01-05_final
2010-05-08 09:41:45	ga_ls7e_ard_3-0-0_095080_2010-05-08_final
2011-03-08 09:42:21	ga_ls7e_ard_3-0-0_095078_2011-03-08_final
2012-02-23 09:43:20	ga_ls7e_ard_3-1-0_095079_2012-02-23_final
2012-11-05 09:44:38	ga_ls7e_ard_3-0-0_095078_2012-11-05_final
2012-11-05 09:45:02	ga_ls7e_ard_3-1-0_095079_2012-11-05_final
2012-12-23 09:45:20	ga_ls7e_ard_3-1-0_095079_2012-12-23_final
2013-03-29 09:45:38	ga_ls7e_ard_3-0-0_095080_2013-03-29_final
2013-07-03 09:44:18	ga_ls7e_ard_3-0-0_095078_2013-07-03_final
2013-12-10 09:45:09	ga_ls7e_ard_3-0-0_095078_2013-12-10_final
2014-01-27 09:46:00	ga_ls7e_ard_3-1-0_095079_2014-01-27_final
2014-06-20 09:46:36	ga_ls7e_ard_3-1-0_095079_2014-06-20_final
2014-10-10 09:46:45	ga_ls7e_ard_3-0-0_095078_2014-10-10_final
2014-10-26 09:48:06	ga_ls7e_ard_3-0-0_095081_2014-10-26_final
2016-02-18 09:50:40	ga_ls7e_ard_3-0-0_095078_2016-02-18_final
2017-05-27 09:52:07	ga_ls7e_ard_3-0-0_095080_2017-05-27_final
2017-10-02 09:52:12	ga_ls7e_ard_3-0-0_095080_2017-10-02_final
2018-09-03 09:46:59	ga_ls7e_ard_3-0-0_095078_2018-09-03_final
2019-07-04 09:37:42	ga_ls7e_ard_3-0-0_095078_2019-07-04_final
2019-12-11 09:30:23	ga_ls7e_ard_3-1-0_095077_2019-12-11_final
2019-12-27 09:30:21	ga_ls7e_ard_3-1-0_095079_2019-12-27_final
2021-02-14 10:00:56	ga_ls7e_ard_3-2-0_104081_2021-02-14_final
2021-02-21 10:05:47	ga_ls7e_ard_3-2-0_105079_2021-02-21_final
2021-02-28 10:12:13	ga_ls7e_ard_3-2-0_106081_2021-02-28_final
2021-03-04 09:45:59	ga_ls7e_ard_3-2-0_102078_2021-03-04_final
2021-04-02 09:11:34	ga_ls7e_ard_3-2-0_097075_2021-04-01_final
2021-04-02 09:11:58	ga_ls7e_ard_3-2-0_097076_2021-04-01_final
2021-04-03 09:55:57	ga_ls7e_ard_3-2-0_104078_2021-04-03_final
2021-04-04 10:39:07	ga_ls7e_ard_3-2-0_111078_2021-04-04_final
2021-04-12 09:49:25	ga_ls7e_ard_3-2-0_103079_2021-04-12_final
2021-04-21 09:41:17	ga_ls7e_ard_3-2-0_102076_2021-04-21_final
2021-04-22 08:48:46	ga_ls7e_ard_3-2-0_093084_2021-04-21_final
2021-04-28 09:48:04	ga_ls7e_ard_3-2-0_103079_2021-04-28_final
2021-04-29 08:53:57	ga_ls7e_ard_3-2-0_094083_2021-04-28_final
2021-05-04 09:08:53	ga_ls7e_ard_3-2-0_097075_2021-05-03_final
2021-05-04 09:09:17	ga_ls7e_ard_3-2-0_097076_2021-05-03_final
2021-05-14 09:43:32	ga_ls7e_ard_3-2-0_103071_2021-05-14_final
2021-05-20 10:47:13	ga_ls7e_ard_3-2-0_113077_2021-05-20_final
2021-05-24 08:45:17	ga_ls7e_ard_3-2-0_093082_2021-05-23_final
2021-05-27 09:12:43	ga_ls7e_ard_3-2-0_098074_2021-05-26_final
2021-06-03 09:18:42	ga_ls7e_ard_3-2-0_099075_2021-06-02_final
2021-06-07 08:54:04	ga_ls7e_ard_3-2-0_095076_2021-06-06_final
2021-06-16 08:47:33	ga_ls7e_ard_3-2-0_094077_2021-06-15_final
2021-06-25 10:20:42	ga_ls7e_ard_3-2-0_109080_2021-06-25_final
2021-07-03 09:30:36	ga_ls7e_ard_3-2-0_101080_2021-07-03_final
2021-07-08 09:46:43	ga_ls7e_ard_3-2-0_104075_2021-07-08_final
2021-07-09 08:53:00	ga_ls7e_ard_3-2-0_095080_2021-07-08_final
2021-07-26 09:31:37	ga_ls7e_ard_3-2-0_102072_2021-07-26_final
2021-08-03 08:43:52	ga_ls7e_ard_3-2-0_094078_2021-08-02_final
2021-08-07 09:57:16	ga_ls7e_ard_3-2-0_106077_2021-08-07_final
2021-08-08 09:03:33	ga_ls7e_ard_3-2-0_097082_2021-08-07_final
2021-08-11 09:32:36	ga_ls7e_ard_3-2-0_102078_2021-08-11_final
2021-08-12 08:38:29	ga_ls7e_ard_3-2-0_093082_2021-08-11_final
2021-08-15 09:06:19	ga_ls7e_ard_3-2-0_098075_2021-08-14_final
2021-08-15 09:08:43	ga_ls7e_ard_3-2-0_098081_2021-08-14_final
2021-08-24 10:38:38	ga_ls7e_ard_3-2-0_113076_2021-08-24_final
2021-08-25 09:43:44	ga_ls7e_ard_3-2-0_104078_2021-08-25_final
2021-08-25 09:44:32	ga_ls7e_ard_3-2-0_104080_2021-08-25_final
2021-08-27 09:28:48	ga_ls7e_ard_3-2-0_102072_2021-08-26_final
2021-09-01 09:50:06	ga_ls7e_ard_3-2-0_105080_2021-09-01_final
2021-09-02 08:54:24	ga_ls7e_ard_3-2-0_096080_2021-09-01_final
2021-09-09 09:01:10	ga_ls7e_ard_3-2-0_097083_2021-09-08_final
2021-09-10 09:40:44	ga_ls7e_ard_3-2-0_104074_2021-09-10_final
2021-09-18 10:31:52	ga_ls7e_ard_3-2-0_112080_2021-09-18_final
2021-09-24 09:53:51	ga_ls7e_ard_3-2-0_106079_2021-09-24_final
2021-09-25 08:56:32	ga_ls7e_ard_3-2-0_097075_2021-09-24_final
2021-10-22 08:40:00	ga_ls7e_ard_3-2-0_094086_2021-10-21_final
2021-10-28 09:38:27	ga_ls7e_ard_3-2-0_104079_2021-10-28_final
2021-10-28 09:39:15	ga_ls7e_ard_3-2-0_104081_2021-10-28_final
2021-11-15 09:23:58	ga_ls7e_ard_3-2-1_102078_2021-11-14_final
2021-11-23 08:32:57	ga_ls7e_ard_3-2-1_094076_2021-11-22_final
2021-12-02 08:28:20	ga_ls7e_ard_3-2-1_093082_2021-12-01_final
2021-12-14 08:49:07	ga_ls7e_ard_3-2-1_097075_2021-12-13_final
2022-01-01 10:15:03	ga_ls7e_ard_3-2-1_111078_2022-01-01_final
2022-01-02 09:20:07	ga_ls7e_ard_3-2-1_102080_2022-01-01_final
2022-01-10 08:28:19	ga_ls7e_ard_3-2-1_094076_2022-01-09_final
2022-01-14 09:44:30	ga_ls7e_ard_3-2-1_106082_2022-01-14_final
2022-01-26 08:27:11	ga_ls7e_ard_3-2-1_094077_2022-01-25_final
2022-02-11 08:25:10	ga_ls7e_ard_3-2-1_094076_2022-02-10_final
2022-02-25 10:15:26	ga_ls7e_ard_3-2-1_112077_2022-02-25_final
2022-02-25 10:16:14	ga_ls7e_ard_3-2-1_112079_2022-02-25_final
2022-03-04 10:20:56	ga_ls7e_ard_3-2-1_113077_2022-03-04_final
2022-03-06 08:29:30	ga_ls7e_ard_3-2-1_095077_2022-03-05_final
2022-03-13 08:34:59	ga_ls7e_ard_3-2-1_096077_2022-03-12_final
2022-03-13 08:37:23	ga_ls7e_ard_3-2-1_096083_2022-03-12_final
2022-03-13 10:14:39	ga_ls7e_ard_3-2-1_112079_2022-03-13_final
2022-03-24 09:55:27	ga_ls7e_ard_3-2-1_109080_2022-03-24_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