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
1999-12-04 09:45:14	ga_ls7e_ard_3-0-0_095087_1999-12-04_final
2000-07-11 11:44:18	ga_ls7e_ard_3-0-0_115079_2000-07-11_final
2001-05-27 11:42:12	ga_ls7e_ard_3-0-0_115078_2001-05-27_final
2003-03-18 09:35:31	ga_ls7e_ard_3-1-0_095073_2003-03-18_final
2004-02-01 09:36:41	ga_ls7e_ard_3-0-0_095075_2004-02-01_final
2004-06-24 09:35:25	ga_ls7e_ard_3-0-0_095072_2004-06-24_final
2005-06-11 09:39:28	ga_ls7e_ard_3-0-0_095081_2005-06-11_final
2005-06-27 09:39:00	ga_ls7e_ard_3-0-0_095080_2005-06-27_final
2005-06-27 09:39:24	ga_ls7e_ard_3-0-0_095081_2005-06-27_final
2005-08-26 11:41:39	ga_ls7e_ard_3-0-0_115078_2005-08-26_final
2006-03-10 09:41:41	ga_ls7e_ard_3-0-0_095085_2006-03-10_final
2007-08-04 09:36:54	ga_ls7e_ard_3-1-0_095073_2007-08-04_final
2009-01-29 09:42:09	ga_ls7e_ard_3-0-0_095087_2009-01-29_final
2010-01-16 09:42:43	ga_ls7e_ard_3-0-0_095084_2010-01-16_final
2010-03-05 09:39:16	ga_ls7e_ard_3-0-0_095074_2010-03-05_final
2010-04-18 11:45:01	ga_ls7e_ard_3-0-0_115079_2010-04-18_final
2010-12-18 09:44:38	ga_ls7e_ard_3-0-0_095085_2010-12-18_final
2012-12-19 11:48:31	ga_ls7e_ard_3-0-0_115078_2012-12-19_final
2013-03-29 09:42:51	ga_ls7e_ard_3-1-0_095073_2013-03-29_final
2013-04-14 09:46:48	ga_ls7e_ard_3-0-0_095083_2013-04-14_final
2014-01-23 11:49:08	ga_ls7e_ard_3-0-0_115078_2014-01-23_final
2014-07-22 09:49:33	ga_ls7e_ard_3-0-0_095086_2014-07-22_final
2015-05-06 09:45:44	ga_ls7e_ard_3-0-0_095072_2015-05-06_final
2017-02-04 09:53:59	ga_ls7e_ard_3-0-0_095086_2017-02-04_final
2018-12-04 11:48:26	ga_ls7e_ard_3-0-0_115078_2018-12-04_final
2019-06-14 11:41:15	ga_ls7e_ard_3-0-0_115076_2019-06-14_final
2019-12-27 09:33:09	ga_ls7e_ard_3-1-0_095086_2019-12-27_final
2020-01-28 09:30:44	ga_ls7e_ard_3-1-0_095084_2020-01-28_final
2020-02-13 09:25:08	ga_ls7e_ard_3-1-0_095072_2020-02-12_final
2020-04-13 11:27:02	ga_ls7e_ard_3-1-0_115076_2020-04-13_final
2020-06-20 09:22:11	ga_ls7e_ard_3-1-0_095083_2020-06-19_final
2020-12-13 09:12:15	ga_ls7e_ard_3-1-0_095087_2020-12-12_final
2021-02-08 10:35:16	ga_ls7e_ard_3-2-0_110073_2021-02-08_final
2021-02-12 10:12:38	ga_ls7e_ard_3-2-0_106079_2021-02-12_final
2021-02-19 08:40:13	ga_ls7e_ard_3-2-0_091081_2021-02-18_final
2021-02-19 08:41:48	ga_ls7e_ard_3-2-0_091085_2021-02-18_final
2021-03-12 10:33:12	ga_ls7e_ard_3-2-0_110074_2021-03-12_final
2021-03-30 10:20:12	ga_ls7e_ard_3-2-0_108076_2021-03-30_final
2021-04-01 08:33:59	ga_ls7e_ard_3-2-0_090089_2021-03-31_final
2021-04-07 09:32:53	ga_ls7e_ard_3-2-0_100083_2021-04-07_final
2021-04-10 08:22:40	ga_ls7e_ard_3-2-0_089078_2021-04-09_final
2021-04-10 08:23:52	ga_ls7e_ard_3-2-0_089081_2021-04-09_final
2021-04-20 10:35:23	ga_ls7e_ard_3-2-0_111072_2021-04-20_final
2021-04-21 09:42:53	ga_ls7e_ard_3-2-0_102080_2021-04-21_final
2021-04-25 09:19:01	ga_ls7e_ard_3-2-0_098083_2021-04-24_final
2021-05-06 08:55:34	ga_ls7e_ard_3-2-0_095073_2021-05-05_final
2021-05-08 08:48:14	ga_ls7e_ard_3-2-0_093086_2021-05-07_final
2021-05-08 10:21:31	ga_ls7e_ard_3-2-0_109072_2021-05-08_final
2021-05-09 09:25:49	ga_ls7e_ard_3-2-0_100072_2021-05-08_final
2021-05-11 10:55:22	ga_ls7e_ard_3-2-0_114080_2021-05-11_final
2021-05-22 10:33:30	ga_ls7e_ard_3-2-0_111074_2021-05-22_final
2021-05-29 08:58:36	ga_ls7e_ard_3-2-0_096070_2021-05-28_final
2021-06-08 09:35:15	ga_ls7e_ard_3-2-0_102071_2021-06-08_final
2021-06-18 10:16:18	ga_ls7e_ard_3-2-0_108083_2021-06-18_final
2021-06-20 08:25:18	ga_ls7e_ard_3-2-0_090084_2021-06-19_final
2021-06-21 10:44:33	ga_ls7e_ard_3-2-0_113077_2021-06-21_final
2021-06-30 08:55:57	ga_ls7e_ard_3-2-0_096070_2021-06-29_final
2021-06-30 10:40:01	ga_ls7e_ard_3-2-0_112083_2021-06-30_final
2021-07-09 08:55:48	ga_ls7e_ard_3-2-0_095087_2021-07-08_final
2021-07-14 09:05:56	ga_ls7e_ard_3-2-0_098067_2021-07-13_final
2021-07-16 08:57:24	ga_ls7e_ard_3-2-0_096077_2021-07-15_final
2021-07-18 10:22:56	ga_ls7e_ard_3-2-0_110075_2021-07-18_final
2021-07-29 10:03:27	ga_ls7e_ard_3-2-0_107075_2021-07-29_final
2021-08-22 10:50:46	ga_ls7e_ard_3-2-0_115075_2021-08-22_final
2021-08-28 10:11:35	ga_ls7e_ard_3-2-0_109071_2021-08-28_final
2021-09-07 10:50:35	ga_ls7e_ard_3-2-0_115078_2021-09-07_final
2021-10-02 10:42:34	ga_ls7e_ard_3-2-0_114079_2021-10-02_final
2021-10-04 10:31:14	ga_ls7e_ard_3-2-0_112082_2021-10-04_final
2021-10-18 09:03:53	ga_ls7e_ard_3-2-0_098083_2021-10-17_final
2021-10-24 08:23:04	ga_ls7e_ard_3-2-0_092075_2021-10-23_final
2021-11-02 09:53:20	ga_ls7e_ard_3-2-0_107071_2021-11-02_final
2021-11-04 08:06:18	ga_ls7e_ard_3-2-0_089082_2021-11-03_final
2021-11-07 08:33:43	ga_ls7e_ard_3-2-0_094074_2021-11-06_final
2021-11-19 10:38:32	ga_ls7e_ard_3-2-1_114080_2021-11-19_final
2021-11-23 10:11:49	ga_ls7e_ard_3-2-1_110076_2021-11-23_final
2021-11-26 10:42:27	ga_ls7e_ard_3-2-1_115076_2021-11-26_final
2021-11-26 10:43:38	ga_ls7e_ard_3-2-1_115079_2021-11-26_final
2021-11-30 08:42:52	ga_ls7e_ard_3-2-1_095087_2021-11-29_final
2021-11-30 10:16:57	ga_ls7e_ard_3-2-1_111075_2021-11-30_final
2021-12-01 09:18:51	ga_ls7e_ard_3-2-1_102069_2021-11-30_final
2021-12-02 08:30:19	ga_ls7e_ard_3-2-1_093087_2021-12-01_final
2021-12-03 09:12:17	ga_ls7e_ard_3-2-1_100084_2021-12-02_final
2021-12-22 09:35:47	ga_ls7e_ard_3-2-1_105070_2021-12-22_final
2021-12-25 10:09:11	ga_ls7e_ard_3-2-1_110077_2021-12-25_final
2021-12-27 09:55:25	ga_ls7e_ard_3-2-1_108074_2021-12-27_final
2022-01-05 08:13:26	ga_ls7e_ard_3-2-1_091084_2022-01-04_final
2022-01-08 10:22:56	ga_ls7e_ard_3-2-1_112084_2022-01-08_final
2022-01-12 08:18:58	ga_ls7e_ard_3-2-1_092084_2022-01-11_final
2022-01-24 08:36:57	ga_ls7e_ard_3-2-1_096070_2022-01-23_final
2022-01-25 09:22:06	ga_ls7e_ard_3-2-1_103075_2022-01-24_final
2022-01-29 10:37:28	ga_ls7e_ard_3-2-1_115079_2022-01-29_final
2022-01-29 10:37:52	ga_ls7e_ard_3-2-1_115080_2022-01-29_final
2022-02-16 08:44:23	ga_ls7e_ard_3-2-1_097079_2022-02-15_final
2022-03-09 09:02:30	ga_ls7e_ard_3-2-1_100083_2022-03-08_final
2022-03-13 10:16:15	ga_ls7e_ard_3-2-1_112083_2022-03-13_final
2022-03-13 10:16:39	ga_ls7e_ard_3-2-1_112084_2022-03-13_final
2022-03-15 10:03:41	ga_ls7e_ard_3-2-1_110083_2022-03-15_final
2022-03-26 08:03:13	ga_ls7e_ard_3-2-1_091078_2022-03-25_final
2022-03-26 09:44:06	ga_ls7e_ard_3-2-1_107083_2022-03-26_final
2022-04-02 08:11:07	ga_ls7e_ard_3-2-1_092084_2022-04-01_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