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
2001-08-05 09:27:30	ga_ls7e_ard_3-1-0_093083_2001-08-04_final
2004-06-07 10:30:19	ga_ls7e_ard_3-1-0_104070_2004-06-07_final
2004-08-26 10:30:00	ga_ls7e_ard_3-1-0_104070_2004-08-26_final
2005-02-22 10:10:32	ga_ls7e_ard_3-1-0_100081_2005-02-22_final
2005-08-16 09:27:45	ga_ls7e_ard_3-1-0_093083_2005-08-15_final
2006-02-21 10:34:54	ga_ls7e_ard_3-1-0_104079_2006-02-21_final
2006-11-23 09:30:26	ga_ls7e_ard_3-1-0_093088_2006-11-23_final
2007-01-26 09:29:55	ga_ls7e_ard_3-1-0_093086_2007-01-25_final
2007-07-18 10:31:25	ga_ls7e_ard_3-1-0_104070_2007-07-18_final
2007-08-19 10:31:14	ga_ls7e_ard_3-1-0_104070_2007-08-19_final
2008-09-22 10:30:04	ga_ls7e_ard_3-1-0_104070_2008-09-22_final
2008-10-24 10:30:03	ga_ls7e_ard_3-1-0_104070_2008-10-24_final
2010-06-27 09:30:37	ga_ls7e_ard_3-1-0_093083_2010-06-27_final
2010-09-16 10:13:11	ga_ls7e_ard_3-1-0_100081_2010-09-16_final
2012-04-10 10:35:16	ga_ls7e_ard_3-1-0_104070_2012-04-10_final
2013-08-06 09:30:06	ga_ls7e_ard_3-1-0_093074_2013-08-06_final
2013-08-22 09:30:12	ga_ls7e_ard_3-1-0_093074_2013-08-22_final
2015-07-27 09:38:11	ga_ls7e_ard_3-1-0_093083_2015-07-27_final
2015-09-29 09:38:24	ga_ls7e_ard_3-1-0_093083_2015-09-29_final
2016-07-26 10:43:50	ga_ls7e_ard_3-1-0_104070_2016-07-26_final
2017-07-13 10:43:53	ga_ls7e_ard_3-1-0_104070_2017-07-13_final
2017-07-17 10:23:33	ga_ls7e_ard_3-1-0_100081_2017-07-17_final
2017-08-17 09:41:02	ga_ls7e_ard_3-1-0_093083_2017-08-17_final
2018-02-22 10:42:41	ga_ls7e_ard_3-1-0_104070_2018-02-22_final
2018-10-04 10:38:42	ga_ls7e_ard_3-1-0_104070_2018-10-04_final
2018-10-24 10:17:54	ga_ls7e_ard_3-1-0_100081_2018-10-24_final
2019-02-22 10:05:33	ga_ls7e_ard_3-1-0_099074_2019-02-22_final
2019-02-22 10:05:57	ga_ls7e_ard_3-1-0_099075_2019-02-22_final
2019-02-22 10:09:32	ga_ls7e_ard_3-1-0_099084_2019-02-22_final
2019-03-10 10:05:02	ga_ls7e_ard_3-1-0_099074_2019-03-10_final
2019-03-13 10:36:14	ga_ls7e_ard_3-1-0_104075_2019-03-13_final
2019-03-16 09:30:33	ga_ls7e_ard_3-1-0_093081_2019-03-16_final
2019-03-22 10:28:10	ga_ls7e_ard_3-1-0_103071_2019-03-22_final
2019-03-22 10:31:21	ga_ls7e_ard_3-1-0_103079_2019-03-22_final
2019-05-13 10:07:08	ga_ls7e_ard_3-1-0_099085_2019-05-13_final
2019-09-05 10:27:57	ga_ls7e_ard_3-1-0_104071_2019-09-05_final
2019-09-08 09:22:14	ga_ls7e_ard_3-1-0_093077_2019-09-07_final
2019-09-14 10:24:58	ga_ls7e_ard_3-1-0_103080_2019-09-14_final
2019-09-18 09:57:16	ga_ls7e_ard_3-1-0_099073_2019-09-18_final
2019-09-21 10:27:14	ga_ls7e_ard_3-1-0_104071_2019-09-21_final
2019-09-26 10:45:34	ga_ls7e_ard_3-1-0_107071_2019-09-26_final
2019-09-26 10:46:22	ga_ls7e_ard_3-1-0_107073_2019-09-26_final
2019-09-30 10:23:52	ga_ls7e_ard_3-1-0_103079_2019-09-30_final
2019-10-07 10:28:34	ga_ls7e_ard_3-1-0_104076_2019-10-07_final
2019-10-11 10:04:53	ga_ls7e_ard_3-1-0_100079_2019-10-11_final
2019-10-23 10:29:29	ga_ls7e_ard_3-1-0_104080_2019-10-23_final
2019-10-27 10:04:36	ga_ls7e_ard_3-1-0_100080_2019-10-27_final
2019-10-28 10:47:25	ga_ls7e_ard_3-1-0_107079_2019-10-28_final
2019-11-01 10:21:19	ga_ls7e_ard_3-1-0_103076_2019-11-01_final
2019-11-24 10:27:14	ga_ls7e_ard_3-1-0_104078_2019-11-24_final
2019-11-28 10:01:31	ga_ls7e_ard_3-1-0_100076_2019-11-28_final
2019-12-07 09:53:18	ga_ls7e_ard_3-1-0_099072_2019-12-07_final
2019-12-19 10:15:49	ga_ls7e_ard_3-1-0_103068_2019-12-19_final
2019-12-19 10:19:01	ga_ls7e_ard_3-1-0_103076_2019-12-19_final
2019-12-23 09:53:41	ga_ls7e_ard_3-1-0_099075_2019-12-23_final
2019-12-23 09:54:29	ga_ls7e_ard_3-1-0_099077_2019-12-23_final
2019-12-26 10:24:02	ga_ls7e_ard_3-1-0_104074_2019-12-26_final
2019-12-30 10:01:30	ga_ls7e_ard_3-1-0_100080_2019-12-30_final
2020-01-08 09:52:27	ga_ls7e_ard_3-1-0_099074_2020-01-08_final
2020-01-08 09:52:51	ga_ls7e_ard_3-1-0_099075_2020-01-08_final
2020-01-14 09:17:52	ga_ls7e_ard_3-1-0_093081_2020-01-13_final
2020-01-14 09:20:16	ga_ls7e_ard_3-1-0_093087_2020-01-13_final
2020-01-16 10:43:06	ga_ls7e_ard_3-1-0_107078_2020-01-16_final
2020-02-12 10:21:36	ga_ls7e_ard_3-1-0_104074_2020-02-12_final
2020-02-15 09:14:40	ga_ls7e_ard_3-1-0_093077_2020-02-14_final
2020-02-15 09:16:16	ga_ls7e_ard_3-1-0_093081_2020-02-14_final
2020-02-16 09:59:04	ga_ls7e_ard_3-1-0_100080_2020-02-16_final
2020-02-17 10:38:17	ga_ls7e_ard_3-1-0_107070_2020-02-17_final
2020-02-17 10:40:17	ga_ls7e_ard_3-1-0_107075_2020-02-17_final
2020-02-21 10:13:46	ga_ls7e_ard_3-1-0_103071_2020-02-21_final
2020-02-21 10:15:21	ga_ls7e_ard_3-1-0_103075_2020-02-21_final
2020-02-21 10:16:33	ga_ls7e_ard_3-1-0_103078_2020-02-21_final
2020-02-28 10:21:58	ga_ls7e_ard_3-1-0_104077_2020-02-28_final
2020-02-28 10:23:57	ga_ls7e_ard_3-1-0_104082_2020-02-28_final
2020-03-08 10:13:42	ga_ls7e_ard_3-1-0_103073_2020-03-08_final
2020-03-19 09:57:21	ga_ls7e_ard_3-1-0_100080_2020-03-19_final
2020-03-19 09:58:09	ga_ls7e_ard_3-1-0_100082_2020-03-19_final
2020-03-24 10:13:37	ga_ls7e_ard_3-1-0_103075_2020-03-24_final
2020-03-25 09:19:56	ga_ls7e_ard_3-1-0_094080_2020-03-24_final
2020-03-28 09:47:52	ga_ls7e_ard_3-1-0_099073_2020-03-28_final
2020-03-28 09:51:04	ga_ls7e_ard_3-1-0_099081_2020-03-28_final
2020-04-04 09:56:27	ga_ls7e_ard_3-1-0_100080_2020-04-04_final
2020-04-16 10:18:05	ga_ls7e_ard_3-1-0_104074_2020-04-16_final
2020-04-19 09:13:31	ga_ls7e_ard_3-1-0_093083_2020-04-18_final
2020-04-25 10:09:23	ga_ls7e_ard_3-1-0_103069_2020-04-25_final
2020-04-25 10:12:34	ga_ls7e_ard_3-1-0_103077_2020-04-25_final
2020-04-25 10:12:58	ga_ls7e_ard_3-1-0_103078_2020-04-25_final
2022-03-13 10:14:15	ga_ls7e_ard_3-2-1_112078_2022-03-13_final
2022-03-13 10:14:39	ga_ls7e_ard_3-2-1_112079_2022-03-13_final
2022-03-15 09:58:30	ga_ls7e_ard_3-2-1_110070_2022-03-15_final
2022-03-19 09:34:59	ga_ls7e_ard_3-2-1_106074_2022-03-19_final
2022-03-22 08:29:31	ga_ls7e_ard_3-2-1_095081_2022-03-21_final
2022-03-22 10:08:00	ga_ls7e_ard_3-2-1_111080_2022-03-22_final
2022-03-26 08:08:01	ga_ls7e_ard_3-2-1_091090_2022-03-25_final
2022-03-29 10:11:55	ga_ls7e_ard_3-2-1_112076_2022-03-29_final
2022-03-31 10:00:10	ga_ls7e_ard_3-2-1_110078_2022-03-31_final
2022-04-01 09:04:51	ga_ls7e_ard_3-2-1_101079_2022-03-31_final
2022-04-03 08:52:41	ga_ls7e_ard_3-2-1_099080_2022-04-02_final
2022-04-03 10:30:46	ga_ls7e_ard_3-2-1_115078_2022-04-03_final
2022-04-04 07:58:34	ga_ls7e_ard_3-2-1_090084_2022-04-03_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