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
1999-12-20 09:44:07	ga_ls7e_ard_3-0-0_095084_1999-12-20_final
2000-03-25 09:44:11	ga_ls7e_ard_3-0-0_095085_2000-03-25_final
2000-11-04 09:41:33	ga_ls7e_ard_3-0-0_095084_2000-11-04_final
2001-03-12 09:41:07	ga_ls7e_ard_3-0-0_095083_2001-03-12_final
2001-03-12 09:41:31	ga_ls7e_ard_3-0-0_095084_2001-03-12_final
2003-11-13 09:40:56	ga_ls7e_ard_3-0-0_095087_2003-11-13_final
2004-01-16 09:40:32	ga_ls7e_ard_3-0-0_095085_2004-01-16_final
2005-12-20 09:40:49	ga_ls7e_ard_3-0-0_095084_2005-12-20_final
2007-01-08 09:41:49	ga_ls7e_ard_3-1-0_095085_2007-01-08_final
2007-08-20 09:41:12	ga_ls7e_ard_3-0-0_095084_2007-08-20_final
2012-07-16 09:44:47	ga_ls7e_ard_3-0-0_095081_2012-07-16_final
2012-08-17 09:45:09	ga_ls7e_ard_3-0-0_095081_2012-08-17_final
2012-09-02 09:46:54	ga_ls7e_ard_3-0-0_095085_2012-09-02_final
2013-01-08 09:47:45	ga_ls7e_ard_3-0-0_095085_2013-01-08_final
2013-07-19 09:46:09	ga_ls7e_ard_3-0-0_095083_2013-07-19_final
2014-01-27 09:46:48	ga_ls7e_ard_3-0-0_095081_2014-01-27_final
2015-02-15 09:49:52	ga_ls7e_ard_3-0-0_095084_2015-02-15_final
2017-06-12 09:52:36	ga_ls7e_ard_3-0-0_095081_2017-06-12_final
2018-03-27 09:51:02	ga_ls7e_ard_3-0-0_095081_2018-03-27_final
2018-06-15 09:51:18	ga_ls7e_ard_3-0-0_095085_2018-06-15_final
2021-02-15 09:02:50	ga_ls7e_ard_3-2-0_095075_2021-02-14_final
2021-02-16 09:45:37	ga_ls7e_ard_3-2-0_102074_2021-02-16_final
2021-02-24 08:59:58	ga_ls7e_ard_3-2-0_094085_2021-02-23_final
2021-02-27 09:26:15	ga_ls7e_ard_3-2-0_099074_2021-02-26_final
2021-02-28 08:33:20	ga_ls7e_ard_3-2-0_090081_2021-02-27_final
2021-02-28 08:34:08	ga_ls7e_ard_3-2-0_090083_2021-02-27_final
2021-03-01 09:14:56	ga_ls7e_ard_3-2-0_097077_2021-02-28_final
2021-03-02 09:55:43	ga_ls7e_ard_3-2-0_104071_2021-03-02_final
2021-03-12 10:34:48	ga_ls7e_ard_3-2-0_110078_2021-03-12_final
2021-03-17 10:53:21	ga_ls7e_ard_3-2-0_113079_2021-03-17_final
2021-04-04 10:39:55	ga_ls7e_ard_3-2-0_111080_2021-04-04_final
2021-04-04 10:40:43	ga_ls7e_ard_3-2-0_111082_2021-04-04_final
2021-04-07 09:29:18	ga_ls7e_ard_3-2-0_100074_2021-04-06_final
2021-04-08 08:37:11	ga_ls7e_ard_3-2-0_091083_2021-04-07_final
2021-04-15 08:42:47	ga_ls7e_ard_3-2-0_092083_2021-04-14_final
2021-04-16 09:23:10	ga_ls7e_ard_3-2-0_099076_2021-04-15_final
2021-04-19 09:51:49	ga_ls7e_ard_3-2-0_104071_2021-04-19_final
2021-04-22 08:47:58	ga_ls7e_ard_3-2-0_093082_2021-04-21_final
2021-04-28 09:46:52	ga_ls7e_ard_3-2-0_103076_2021-04-28_final
2021-04-29 08:54:21	ga_ls7e_ard_3-2-0_094084_2021-04-28_final
2021-05-02 09:21:25	ga_ls7e_ard_3-2-0_099075_2021-05-01_final
2021-05-05 09:53:40	ga_ls7e_ard_3-2-0_104079_2021-05-05_final
2021-05-22 08:59:48	ga_ls7e_ard_3-2-0_095087_2021-05-21_final
2021-05-30 09:43:46	ga_ls7e_ard_3-2-0_103075_2021-05-30_final
2021-06-15 09:43:39	ga_ls7e_ard_3-2-0_103078_2021-06-15_final
2021-06-16 08:46:45	ga_ls7e_ard_3-2-0_094075_2021-06-15_final
2021-06-23 08:53:09	ga_ls7e_ard_3-2-0_095077_2021-06-22_final
2021-06-23 10:31:14	ga_ls7e_ard_3-2-0_111075_2021-06-23_final
2021-06-26 09:23:24	ga_ls7e_ard_3-2-0_100076_2021-06-25_final
2021-07-02 08:47:01	ga_ls7e_ard_3-2-0_094079_2021-07-01_final
2021-07-06 10:01:38	ga_ls7e_ard_3-2-0_106081_2021-07-06_final
2021-07-13 10:05:38	ga_ls7e_ard_3-2-0_107077_2021-07-13_final
2021-07-14 09:08:20	ga_ls7e_ard_3-2-0_098073_2021-07-13_final
2021-07-16 08:58:59	ga_ls7e_ard_3-2-0_096081_2021-07-15_final
2021-07-26 09:34:24	ga_ls7e_ard_3-2-0_102079_2021-07-26_final
2021-07-30 10:48:13	ga_ls7e_ard_3-2-0_114079_2021-07-30_final
2021-07-31 09:50:07	ga_ls7e_ard_3-2-0_105073_2021-07-31_final
2021-08-03 08:42:40	ga_ls7e_ard_3-2-0_094075_2021-08-02_final
2021-08-03 10:22:45	ga_ls7e_ard_3-2-0_110078_2021-08-03_final
2021-08-04 09:27:50	ga_ls7e_ard_3-2-0_101080_2021-08-03_final
2021-08-11 09:32:12	ga_ls7e_ard_3-2-0_102077_2021-08-11_final
2021-08-12 10:16:34	ga_ls7e_ard_3-2-0_109080_2021-08-12_final
2021-08-25 09:44:32	ga_ls7e_ard_3-2-0_104080_2021-08-25_final
2021-08-27 09:32:00	ga_ls7e_ard_3-2-0_102080_2021-08-27_final
2021-09-02 08:50:48	ga_ls7e_ard_3-2-0_096071_2021-09-01_final
2021-09-02 10:34:52	ga_ls7e_ard_3-2-0_112084_2021-09-02_final
2021-09-08 09:56:04	ga_ls7e_ard_3-2-0_106081_2021-09-08_final
2021-09-19 09:34:10	ga_ls7e_ard_3-2-0_103075_2021-09-19_final
2021-09-19 09:35:21	ga_ls7e_ard_3-2-0_103078_2021-09-19_final
2021-09-25 10:39:01	ga_ls7e_ard_3-2-0_113084_2021-09-25_final
2021-09-30 09:16:38	ga_ls7e_ard_3-2-0_100080_2021-09-29_final
2021-10-03 09:43:17	ga_ls7e_ard_3-2-0_105070_2021-10-03_final
2021-10-06 08:41:25	ga_ls7e_ard_3-2-0_094086_2021-10-05_final
2021-10-08 08:26:29	ga_ls7e_ard_3-2-0_092080_2021-10-07_final
2021-10-10 08:15:09	ga_ls7e_ard_3-2-0_090083_2021-10-09_final
2021-10-12 09:38:18	ga_ls7e_ard_3-2-0_104075_2021-10-12_final
2021-10-15 08:31:39	ga_ls7e_ard_3-2-0_093079_2021-10-14_final
2021-10-20 10:27:01	ga_ls7e_ard_3-2-0_112075_2021-10-20_final
2021-10-23 09:18:22	ga_ls7e_ard_3-2-0_101074_2021-10-22_final
2021-10-28 09:37:15	ga_ls7e_ard_3-2-0_104076_2021-10-28_final
2021-12-04 08:14:35	ga_ls7e_ard_3-2-1_091079_2021-12-03_final
2021-12-17 09:20:31	ga_ls7e_ard_3-2-1_102077_2021-12-16_final
2021-12-21 08:54:37	ga_ls7e_ard_3-2-1_098075_2021-12-20_final
2022-01-05 08:12:38	ga_ls7e_ard_3-2-1_091082_2022-01-04_final
2022-01-05 09:51:31	ga_ls7e_ard_3-2-1_107082_2022-01-05_final
2022-01-10 10:08:48	ga_ls7e_ard_3-2-1_110080_2022-01-10_final
2022-01-17 08:35:26	ga_ls7e_ard_3-2-1_095080_2022-01-16_final
2022-01-18 09:17:00	ga_ls7e_ard_3-2-1_102076_2022-01-17_final
2022-01-19 09:58:34	ga_ls7e_ard_3-2-1_109072_2022-01-19_final
2022-01-24 10:17:49	ga_ls7e_ard_3-2-1_112075_2022-01-24_final
2022-01-26 10:06:28	ga_ls7e_ard_3-2-1_110078_2022-01-26_final
2022-02-02 10:12:45	ga_ls7e_ard_3-2-1_111080_2022-02-02_final
2022-02-04 08:22:06	ga_ls7e_ard_3-2-1_093082_2022-02-03_final
2022-02-11 10:02:51	ga_ls7e_ard_3-2-1_110073_2022-02-11_final
2022-02-14 08:54:33	ga_ls7e_ard_3-2-1_099073_2022-02-13_final
2022-02-25 10:15:50	ga_ls7e_ard_3-2-1_112078_2022-02-25_final
2022-03-04 08:42:51	ga_ls7e_ard_3-2-1_097079_2022-03-03_final
2022-03-05 09:24:01	ga_ls7e_ard_3-2-1_104074_2022-03-04_final
2022-03-13 08:37:23	ga_ls7e_ard_3-2-1_096083_2022-03-12_final
2022-03-24 08:15:22	ga_ls7e_ard_3-2-1_093077_2022-03-23_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