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
1999-11-30 11:45:35	ga_ls7e_ard_3-0-0_115079_1999-11-30_final
2002-07-01 11:40:26	ga_ls7e_ard_3-1-0_115077_2002-07-01_final
2005-09-11 11:41:06	ga_ls7e_ard_3-1-0_115077_2005-09-11_final
2006-03-06 11:42:06	ga_ls7e_ard_3-1-0_115077_2006-03-06_final
2006-04-07 11:42:03	ga_ls7e_ard_3-1-0_115077_2006-04-07_final
2006-06-10 11:42:01	ga_ls7e_ard_3-0-0_115077_2006-06-10_final
2008-07-17 11:41:46	ga_ls7e_ard_3-0-0_115078_2008-07-17_final
2008-08-02 11:41:15	ga_ls7e_ard_3-1-0_115077_2008-08-02_final
2010-03-17 11:44:57	ga_ls7e_ard_3-0-0_115079_2010-03-17_final
2010-09-25 11:44:41	ga_ls7e_ard_3-0-0_115078_2010-09-25_final
2011-02-16 11:46:14	ga_ls7e_ard_3-0-0_115079_2011-02-16_final
2011-11-15 11:46:22	ga_ls7e_ard_3-0-0_115079_2011-11-15_final
2015-11-10 11:53:01	ga_ls7e_ard_3-0-0_115078_2015-11-10_final
2016-02-14 11:54:16	ga_ls7e_ard_3-0-0_115078_2016-02-14_final
2017-07-10 11:55:28	ga_ls7e_ard_3-0-0_115079_2017-07-10_final
2020-02-09 11:30:32	ga_ls7e_ard_3-1-0_115076_2020-02-09_final
2020-04-13 11:27:50	ga_ls7e_ard_3-1-0_115078_2020-04-13_final
2020-09-20 11:17:59	ga_ls7e_ard_3-1-0_115078_2020-09-20_final
2020-11-22 10:28:33	ga_ls7e_ard_3-1-0_108073_2020-11-22_final
2020-11-28 09:50:15	ga_ls7e_ard_3-1-0_102071_2020-11-28_final
2020-12-10 08:40:47	ga_ls7e_ard_3-1-0_090085_2020-12-09_final
2020-12-13 09:11:51	ga_ls7e_ard_3-1-0_095086_2020-12-12_final
2020-12-18 11:04:54	ga_ls7e_ard_3-1-0_114076_2020-12-18_final
2020-12-20 09:11:31	ga_ls7e_ard_3-1-0_096071_2020-12-19_final
2021-01-10 09:31:47	ga_ls7e_ard_3-1-0_099079_2021-01-10_final
2021-01-15 09:46:22	ga_ls7e_ard_3-1-0_102070_2021-01-15_final
2021-01-18 10:22:15	ga_ls7e_ard_3-1-0_107083_2021-01-18_final
2021-01-20 10:06:33	ga_ls7e_ard_3-2-0_105075_2021-01-20_final
2021-01-24 09:42:21	ga_ls7e_ard_3-2-0_101077_2021-01-24_final
2021-02-05 08:28:30	ga_ls7e_ard_3-2-0_089080_2021-02-04_final
2021-02-08 10:34:52	ga_ls7e_ard_3-2-0_110072_2021-02-08_final
2021-02-10 08:49:52	ga_ls7e_ard_3-2-0_092088_2021-02-09_final
2021-03-03 09:00:49	ga_ls7e_ard_3-2-0_095073_2021-03-02_final
2021-03-06 09:31:05	ga_ls7e_ard_3-2-0_100072_2021-03-06_final
2021-03-07 08:41:46	ga_ls7e_ard_3-2-0_091088_2021-03-06_final
2021-03-08 09:23:45	ga_ls7e_ard_3-2-0_098085_2021-03-07_final
2021-03-19 10:36:02	ga_ls7e_ard_3-2-0_111067_2021-03-19_final
2021-03-30 08:45:43	ga_ls7e_ard_3-2-0_092087_2021-03-29_final
2021-04-29 08:55:33	ga_ls7e_ard_3-2-0_094087_2021-04-28_final
2021-05-01 08:42:38	ga_ls7e_ard_3-2-0_092086_2021-04-30_final
2021-05-19 08:25:10	ga_ls7e_ard_3-2-0_090077_2021-05-18_final
2021-05-22 08:53:49	ga_ls7e_ard_3-2-0_095072_2021-05-21_final
2021-05-26 10:12:01	ga_ls7e_ard_3-2-0_107083_2021-05-26_final
2021-06-04 08:27:24	ga_ls7e_ard_3-2-0_090086_2021-06-03_final
2021-06-13 09:52:11	ga_ls7e_ard_3-2-0_105068_2021-06-13_final
2021-06-19 09:15:49	ga_ls7e_ard_3-2-0_099071_2021-06-18_final
2021-06-21 10:40:34	ga_ls7e_ard_3-2-0_113067_2021-06-21_final
2021-07-02 10:27:30	ga_ls7e_ard_3-2-0_110083_2021-07-02_final
2021-07-02 10:27:54	ga_ls7e_ard_3-2-0_110084_2021-07-02_final
2021-07-03 09:31:48	ga_ls7e_ard_3-2-0_101083_2021-07-03_final
2021-07-06 08:25:33	ga_ls7e_ard_3-2-0_090088_2021-07-05_final
2021-07-09 08:47:49	ga_ls7e_ard_3-2-0_095067_2021-07-08_final
2021-07-14 09:10:19	ga_ls7e_ard_3-2-0_098078_2021-07-13_final
2021-07-14 09:12:19	ga_ls7e_ard_3-2-0_098083_2021-07-13_final
2021-07-14 10:47:36	ga_ls7e_ard_3-2-0_114074_2021-07-14_final
2021-07-22 09:55:05	ga_ls7e_ard_3-2-0_106068_2021-07-22_final
2021-07-27 08:42:18	ga_ls7e_ard_3-2-0_093088_2021-07-26_final
2021-08-11 09:29:24	ga_ls7e_ard_3-2-0_102070_2021-08-10_final
2021-08-26 10:22:55	ga_ls7e_ard_3-2-0_111068_2021-08-26_final
2021-08-31 10:40:37	ga_ls7e_ard_3-2-0_114067_2021-08-31_final
2021-09-01 09:47:42	ga_ls7e_ard_3-2-0_105074_2021-09-01_final
2021-09-13 08:37:41	ga_ls7e_ard_3-2-0_093087_2021-09-12_final
2021-09-18 10:29:28	ga_ls7e_ard_3-2-0_112074_2021-09-18_final
2021-09-28 09:27:10	ga_ls7e_ard_3-2-0_102075_2021-09-27_final
2021-10-14 09:22:58	ga_ls7e_ard_3-2-0_102068_2021-10-13_final
2021-10-14 09:24:58	ga_ls7e_ard_3-2-0_102073_2021-10-13_final
2021-10-27 08:56:05	ga_ls7e_ard_3-2-0_097081_2021-10-26_final
2021-10-27 08:57:17	ga_ls7e_ard_3-2-0_097084_2021-10-26_final
2021-10-27 10:32:10	ga_ls7e_ard_3-2-0_113074_2021-10-27_final
2021-10-30 09:21:31	ga_ls7e_ard_3-2-0_102068_2021-10-29_final
2021-11-07 10:11:48	ga_ls7e_ard_3-2-0_110072_2021-11-07_final
2021-11-16 10:05:56	ga_ls7e_ard_3-2-1_109075_2021-11-16_final
2021-11-25 09:57:17	ga_ls7e_ard_3-2-1_108071_2021-11-25_final
2021-11-27 08:08:39	ga_ls7e_ard_3-2-1_090078_2021-11-26_final
2021-12-01 09:19:15	ga_ls7e_ard_3-2-1_102070_2021-11-30_final
2021-12-09 10:08:44	ga_ls7e_ard_3-2-1_110072_2021-12-09_final
2021-12-09 10:09:56	ga_ls7e_ard_3-2-1_110075_2021-12-09_final
2021-12-09 10:10:20	ga_ls7e_ard_3-2-1_110076_2021-12-09_final
2021-12-11 08:18:54	ga_ls7e_ard_3-2-1_092076_2021-12-10_final
2021-12-13 09:43:38	ga_ls7e_ard_3-2-1_106072_2021-12-13_final
2021-12-18 10:01:17	ga_ls7e_ard_3-2-1_109071_2021-12-18_final
2021-12-22 09:37:47	ga_ls7e_ard_3-2-1_105075_2021-12-22_final
2021-12-22 09:38:11	ga_ls7e_ard_3-2-1_105076_2021-12-22_final
2021-12-27 09:59:01	ga_ls7e_ard_3-2-1_108083_2021-12-27_final
2021-12-28 09:00:30	ga_ls7e_ard_3-2-1_099076_2021-12-27_final
2021-12-29 09:42:27	ga_ls7e_ard_3-2-1_106073_2021-12-29_final
2021-12-29 09:43:15	ga_ls7e_ard_3-2-1_106075_2021-12-29_final
2021-12-30 10:26:01	ga_ls7e_ard_3-2-1_113074_2021-12-30_final
2022-01-01 10:13:27	ga_ls7e_ard_3-2-1_111074_2022-01-01_final
2022-01-11 09:09:53	ga_ls7e_ard_3-2-1_101072_2022-01-10_final
2022-01-14 08:05:37	ga_ls7e_ard_3-2-1_090082_2022-01-13_final
2022-01-17 10:11:31	ga_ls7e_ard_3-2-1_111073_2022-01-17_final
2022-02-06 09:44:02	ga_ls7e_ard_3-2-1_107071_2022-02-06_final
2022-02-14 08:52:34	ga_ls7e_ard_3-2-1_099068_2022-02-13_final
2022-02-20 08:17:42	ga_ls7e_ard_3-2-1_093075_2022-02-19_final
2022-02-25 10:17:02	ga_ls7e_ard_3-2-1_112081_2022-02-25_final
2022-03-04 08:42:28	ga_ls7e_ard_3-2-1_097078_2022-03-03_final
2022-03-12 09:29:54	ga_ls7e_ard_3-2-1_105075_2022-03-11_final
2022-03-17 08:13:50	ga_ls7e_ard_3-2-1_092087_2022-03-16_final
2022-03-18 08:53:48	ga_ls7e_ard_3-2-1_099079_2022-03-17_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years