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
2000-06-29 09:38:04	ga_ls7e_ard_3-0-0_095072_2000-06-29_final
2000-12-22 09:36:51	ga_ls7e_ard_3-0-0_095072_2000-12-22_final
2002-02-11 09:33:19	ga_ls7e_ard_3-0-0_095067_2002-02-11_final
2002-04-16 09:33:11	ga_ls7e_ard_3-0-0_095067_2002-04-16_final
2003-11-13 09:34:57	ga_ls7e_ard_3-0-0_095072_2003-11-13_final
2005-01-18 09:41:48	ga_ls7e_ard_3-0-0_095087_2005-01-18_final
2005-06-11 09:33:53	ga_ls7e_ard_3-0-0_095067_2005-06-11_final
2007-10-22 08:57:00	ga_ls7e_ard_3-0-0_088082_2007-10-21_final
2007-12-25 08:57:28	ga_ls7e_ard_3-0-0_088082_2007-12-24_final
2008-02-28 09:37:49	ga_ls7e_ard_3-0-0_095075_2008-02-28_final
2008-03-31 09:34:33	ga_ls7e_ard_3-0-0_095067_2008-03-31_final
2008-05-17 08:57:07	ga_ls7e_ard_3-0-0_088082_2008-05-16_final
2009-08-25 09:34:35	ga_ls7e_ard_3-0-0_095067_2009-08-25_final
2009-10-28 09:34:46	ga_ls7e_ard_3-0-0_095067_2009-10-28_final
2009-11-12 08:57:42	ga_ls7e_ard_3-0-0_088082_2009-11-11_final
2010-02-01 09:38:09	ga_ls7e_ard_3-0-0_095072_2010-02-01_final
2010-02-17 09:36:20	ga_ls7e_ard_3-0-0_095067_2010-02-17_final
2010-03-05 09:36:28	ga_ls7e_ard_3-0-0_095067_2010-03-05_final
2010-05-24 09:38:31	ga_ls7e_ard_3-0-0_095072_2010-05-24_final
2010-08-28 09:36:40	ga_ls7e_ard_3-0-0_095067_2010-08-28_final
2010-10-31 09:36:56	ga_ls7e_ard_3-0-0_095067_2010-10-31_final
2010-12-02 09:45:18	ga_ls7e_ard_3-0-0_095087_2010-12-02_final
2012-06-14 09:40:48	ga_ls7e_ard_3-0-0_095072_2012-06-14_final
2013-07-19 09:39:46	ga_ls7e_ard_3-0-0_095067_2013-07-19_final
2014-09-23 09:04:28	ga_ls7e_ard_3-0-0_088081_2014-09-22_final
2015-01-14 09:42:59	ga_ls7e_ard_3-0-0_095067_2015-01-14_final
2016-12-18 09:48:49	ga_ls7e_ard_3-0-0_095072_2016-12-18_final
2017-04-25 09:53:36	ga_ls7e_ard_3-0-0_095084_2017-04-25_final
2017-05-27 09:54:31	ga_ls7e_ard_3-0-0_095086_2017-05-27_final
2018-08-18 09:50:30	ga_ls7e_ard_3-0-0_095086_2018-08-18_final
2019-05-17 09:42:40	ga_ls7e_ard_3-0-0_095086_2019-05-17_final
2019-06-02 09:34:30	ga_ls7e_ard_3-0-0_095067_2019-06-02_final
2019-06-18 09:41:30	ga_ls7e_ard_3-0-0_095086_2019-06-18_final
2019-07-04 09:40:54	ga_ls7e_ard_3-0-0_095086_2019-07-04_final
2019-07-20 09:34:41	ga_ls7e_ard_3-0-0_095072_2019-07-20_final
2020-05-19 09:17:41	ga_ls7e_ard_3-1-0_095067_2020-05-18_final
2020-06-04 09:16:44	ga_ls7e_ard_3-1-0_095067_2020-06-03_final
2020-09-24 09:12:07	ga_ls7e_ard_3-1-0_095073_2020-09-23_final
2020-11-11 09:06:35	ga_ls7e_ard_3-1-0_095067_2020-11-10_final
2020-11-11 09:12:11	ga_ls7e_ard_3-1-0_095081_2020-11-10_final
2021-02-10 08:44:40	ga_ls7e_ard_3-2-0_092075_2021-02-09_final
2021-02-19 08:43:00	ga_ls7e_ard_3-2-0_091088_2021-02-18_final
2021-02-21 10:06:35	ga_ls7e_ard_3-2-0_105081_2021-02-21_final
2021-03-05 10:28:22	ga_ls7e_ard_3-2-0_109076_2021-03-05_final
2021-03-07 08:41:46	ga_ls7e_ard_3-2-0_091088_2021-03-06_final
2021-03-09 10:03:20	ga_ls7e_ard_3-2-0_105076_2021-03-09_final
2021-03-20 09:45:55	ga_ls7e_ard_3-2-0_102081_2021-03-20_final
2021-03-24 09:20:29	ga_ls7e_ard_3-2-0_098080_2021-03-23_final
2021-03-28 10:29:08	ga_ls7e_ard_3-2-0_110067_2021-03-28_final
2021-04-06 10:25:24	ga_ls7e_ard_3-2-0_109075_2021-04-06_final
2021-04-09 09:20:22	ga_ls7e_ard_3-2-0_098083_2021-04-08_final
2021-04-09 10:56:03	ga_ls7e_ard_3-2-0_114075_2021-04-09_final
2021-04-15 08:44:47	ga_ls7e_ard_3-2-0_092088_2021-04-14_final
2021-04-16 09:24:46	ga_ls7e_ard_3-2-0_099080_2021-04-15_final
2021-04-26 10:01:23	ga_ls7e_ard_3-2-0_105081_2021-04-26_final
2021-04-29 10:27:39	ga_ls7e_ard_3-2-0_110070_2021-04-29_final
2021-05-03 10:01:48	ga_ls7e_ard_3-2-0_106068_2021-05-03_final
2021-05-19 10:03:39	ga_ls7e_ard_3-2-0_106076_2021-05-19_final
2021-05-24 10:24:57	ga_ls7e_ard_3-2-0_109084_2021-05-24_final
2021-06-28 09:14:04	ga_ls7e_ard_3-2-0_098084_2021-06-27_final
2021-06-29 09:53:15	ga_ls7e_ard_3-2-0_105074_2021-06-29_final
2021-06-29 09:53:39	ga_ls7e_ard_3-2-0_105075_2021-06-29_final
2021-06-30 08:56:21	ga_ls7e_ard_3-2-0_096071_2021-06-29_final
2021-07-05 09:14:29	ga_ls7e_ard_3-2-0_099071_2021-07-04_final
2021-07-06 09:56:27	ga_ls7e_ard_3-2-0_106068_2021-07-06_final
2021-07-06 09:59:15	ga_ls7e_ard_3-2-0_106075_2021-07-06_final
2021-07-13 10:07:13	ga_ls7e_ard_3-2-0_107081_2021-07-13_final
2021-07-15 09:51:54	ga_ls7e_ard_3-2-0_105074_2021-07-15_final
2021-07-21 09:13:06	ga_ls7e_ard_3-2-0_099071_2021-07-20_final
2021-07-28 09:18:41	ga_ls7e_ard_3-2-0_100071_2021-07-27_final
2021-08-03 08:39:29	ga_ls7e_ard_3-2-0_094067_2021-08-02_final
2021-08-30 10:03:50	ga_ls7e_ard_3-2-0_107083_2021-08-30_final
2021-10-21 09:33:42	ga_ls7e_ard_3-2-0_103081_2021-10-21_final
2021-10-25 10:45:54	ga_ls7e_ard_3-2-0_115077_2021-10-25_final
2021-10-27 08:56:53	ga_ls7e_ard_3-2-0_097083_2021-10-26_final
2021-11-06 09:28:38	ga_ls7e_ard_3-2-0_103072_2021-11-05_final
2021-11-08 09:20:04	ga_ls7e_ard_3-2-0_101082_2021-11-07_final
2021-11-10 10:44:48	ga_ls7e_ard_3-2-0_115078_2021-11-10_final
2021-11-15 09:21:59	ga_ls7e_ard_3-2-1_102073_2021-11-14_final
2021-11-25 09:58:29	ga_ls7e_ard_3-2-1_108074_2021-11-25_final
2021-12-12 10:40:09	ga_ls7e_ard_3-2-1_115074_2021-12-12_final
2021-12-13 08:10:21	ga_ls7e_ard_3-2-1_090086_2021-12-12_final
2021-12-25 08:29:06	ga_ls7e_ard_3-2-1_094074_2021-12-24_final
2021-12-25 10:09:11	ga_ls7e_ard_3-2-1_110077_2021-12-25_final
2021-12-27 09:54:13	ga_ls7e_ard_3-2-1_108071_2021-12-27_final
2022-01-12 09:54:15	ga_ls7e_ard_3-2-1_108075_2022-01-12_final
2022-01-13 08:55:21	ga_ls7e_ard_3-2-1_099067_2022-01-12_final
2022-02-07 08:46:43	ga_ls7e_ard_3-2-1_098067_2022-02-06_final
2022-02-20 09:54:35	ga_ls7e_ard_3-2-1_109070_2022-02-20_final
2022-02-23 08:46:19	ga_ls7e_ard_3-2-1_098070_2022-02-22_final
2022-03-05 09:23:37	ga_ls7e_ard_3-2-1_104073_2022-03-04_final
2022-03-07 09:09:04	ga_ls7e_ard_3-2-1_102068_2022-03-06_final
2022-03-08 09:53:50	ga_ls7e_ard_3-2-1_109072_2022-03-08_final
2022-03-09 08:59:42	ga_ls7e_ard_3-2-1_100076_2022-03-08_final
2022-03-10 09:45:39	ga_ls7e_ard_3-2-1_107083_2022-03-10_final
2022-03-12 09:27:31	ga_ls7e_ard_3-2-1_105069_2022-03-11_final
2022-03-18 10:32:41	ga_ls7e_ard_3-2-1_115079_2022-03-18_final
2022-03-19 08:02:29	ga_ls7e_ard_3-2-1_090090_2022-03-18_final
2022-03-19 09:35:46	ga_ls7e_ard_3-2-1_106076_2022-03-19_final
2022-03-23 09:08:17	ga_ls7e_ard_3-2-1_102070_2022-03-22_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