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
2004-04-21 09:40:42	ga_ls7e_ard_3-0-0_095085_2004-04-21_final
2004-12-17 09:36:01	ga_ls7e_ard_3-1-0_095073_2004-12-17_final
2005-11-02 09:39:45	ga_ls7e_ard_3-0-0_095082_2005-11-02_final
2006-05-13 09:36:52	ga_ls7e_ard_3-1-0_095073_2006-05-13_final
2007-02-09 09:37:12	ga_ls7e_ard_3-1-0_095073_2007-02-09_final
2007-10-23 09:36:41	ga_ls7e_ard_3-1-0_095073_2007-10-23_final
2008-01-27 09:37:08	ga_ls7e_ard_3-1-0_095073_2008-01-27_final
2008-06-03 09:41:51	ga_ls7e_ard_3-0-0_095086_2008-06-03_final
2010-02-01 09:44:08	ga_ls7e_ard_3-0-0_095087_2010-02-01_final
2010-12-18 09:45:26	ga_ls7e_ard_3-0-0_095087_2010-12-18_final
2011-12-05 09:46:09	ga_ls7e_ard_3-0-0_095087_2011-12-05_final
2015-11-30 09:53:17	ga_ls7e_ard_3-0-0_095087_2015-11-30_final
2018-04-28 09:52:30	ga_ls7e_ard_3-0-0_095086_2018-04-28_final
2018-08-02 09:50:48	ga_ls7e_ard_3-0-0_095086_2018-08-02_final
2019-02-26 09:43:53	ga_ls7e_ard_3-1-0_095082_2019-02-26_final
2021-02-12 10:10:15	ga_ls7e_ard_3-2-0_106073_2021-02-12_final
2021-02-17 10:27:13	ga_ls7e_ard_3-2-0_109070_2021-02-17_final
2021-02-19 08:42:36	ga_ls7e_ard_3-2-0_091087_2021-02-18_final
2021-02-20 09:18:12	ga_ls7e_ard_3-2-0_098068_2021-02-19_final
2021-02-25 09:37:34	ga_ls7e_ard_3-2-0_101071_2021-02-25_final
2021-03-08 09:20:34	ga_ls7e_ard_3-2-0_098077_2021-03-07_final
2021-03-09 08:26:28	ga_ls7e_ard_3-2-0_089081_2021-03-08_final
2021-03-26 10:47:14	ga_ls7e_ard_3-2-0_112081_2021-03-26_final
2021-03-29 09:39:25	ga_ls7e_ard_3-2-0_101082_2021-03-29_final
2021-03-31 09:25:42	ga_ls7e_ard_3-2-0_099079_2021-03-30_final
2021-04-07 09:28:06	ga_ls7e_ard_3-2-0_100071_2021-04-06_final
2021-04-10 09:57:33	ga_ls7e_ard_3-2-0_105068_2021-04-10_final
2021-04-10 09:59:57	ga_ls7e_ard_3-2-0_105074_2021-04-10_final
2021-04-12 09:45:02	ga_ls7e_ard_3-2-0_103068_2021-04-12_final
2021-04-29 10:28:27	ga_ls7e_ard_3-2-0_110072_2021-04-29_final
2021-05-02 09:23:01	ga_ls7e_ard_3-2-0_099079_2021-05-01_final
2021-05-02 09:25:00	ga_ls7e_ard_3-2-0_099084_2021-05-01_final
2021-05-04 10:47:22	ga_ls7e_ard_3-2-0_113074_2021-05-04_final
2021-05-13 10:40:26	ga_ls7e_ard_3-2-0_112074_2021-05-13_final
2021-05-18 09:22:04	ga_ls7e_ard_3-2-0_099080_2021-05-17_final
2021-06-08 09:39:14	ga_ls7e_ard_3-2-0_102081_2021-06-08_final
2021-06-27 10:06:11	ga_ls7e_ard_3-2-0_107075_2021-06-27_final
2021-06-28 10:51:21	ga_ls7e_ard_3-2-0_114080_2021-06-28_final
2021-07-02 10:27:54	ga_ls7e_ard_3-2-0_110084_2021-07-02_final
2021-07-07 09:07:32	ga_ls7e_ard_3-2-0_097085_2021-07-06_final
2021-07-13 10:02:50	ga_ls7e_ard_3-2-0_107070_2021-07-13_final
2021-07-18 10:25:44	ga_ls7e_ard_3-2-0_110082_2021-07-18_final
2021-07-22 09:55:05	ga_ls7e_ard_3-2-0_106068_2021-07-22_final
2021-07-27 08:41:30	ga_ls7e_ard_3-2-0_093086_2021-07-26_final
2021-08-07 08:18:23	ga_ls7e_ard_3-2-0_090077_2021-08-06_final
2021-08-08 09:04:21	ga_ls7e_ard_3-2-0_097084_2021-08-07_final
2021-08-18 09:35:45	ga_ls7e_ard_3-2-0_103072_2021-08-18_final
2021-08-21 10:06:00	ga_ls7e_ard_3-2-0_108071_2021-08-21_final
2021-09-12 09:25:49	ga_ls7e_ard_3-2-0_102068_2021-09-11_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
2021-09-21 09:22:25	ga_ls7e_ard_3-2-0_101077_2021-09-20_final
2021-09-23 09:10:41	ga_ls7e_ard_3-2-0_099079_2021-09-22_final
2021-09-23 09:11:05	ga_ls7e_ard_3-2-0_099080_2021-09-22_final
2021-10-03 09:44:52	ga_ls7e_ard_3-2-0_105074_2021-10-03_final
2021-10-09 09:06:04	ga_ls7e_ard_3-2-0_099071_2021-10-08_final
2021-10-11 08:54:44	ga_ls7e_ard_3-2-0_097074_2021-10-10_final
2021-10-12 09:35:31	ga_ls7e_ard_3-2-0_104068_2021-10-12_final
2021-10-14 09:23:46	ga_ls7e_ard_3-2-0_102070_2021-10-13_final
2021-10-24 08:28:15	ga_ls7e_ard_3-2-0_092088_2021-10-23_final
2021-10-27 08:56:05	ga_ls7e_ard_3-2-0_097081_2021-10-26_final
2021-10-28 09:36:03	ga_ls7e_ard_3-2-0_104073_2021-10-28_final
2021-10-31 08:33:23	ga_ls7e_ard_3-2-0_093087_2021-10-30_final
2021-11-01 09:10:34	ga_ls7e_ard_3-2-0_100072_2021-10-31_final
2021-11-05 10:27:56	ga_ls7e_ard_3-2-0_112081_2021-11-05_final
2021-11-11 09:45:53	ga_ls7e_ard_3-2-0_106070_2021-11-11_final
2021-11-20 09:40:25	ga_ls7e_ard_3-2-1_105074_2021-11-20_final
2021-11-22 09:25:28	ga_ls7e_ard_3-2-1_103068_2021-11-21_final
2021-11-23 10:12:13	ga_ls7e_ard_3-2-1_110077_2021-11-23_final
2021-11-26 09:00:22	ga_ls7e_ard_3-2-1_099068_2021-11-25_final
2021-11-26 10:43:14	ga_ls7e_ard_3-2-1_115078_2021-11-26_final
2021-11-27 09:48:44	ga_ls7e_ard_3-2-1_106081_2021-11-27_final
2021-11-30 10:16:09	ga_ls7e_ard_3-2-1_111073_2021-11-30_final
2021-12-06 08:02:26	ga_ls7e_ard_3-2-1_089080_2021-12-05_final
2021-12-18 08:24:01	ga_ls7e_ard_3-2-1_093075_2021-12-17_final
2021-12-18 08:27:36	ga_ls7e_ard_3-2-1_093084_2021-12-17_final
2021-12-22 09:37:47	ga_ls7e_ard_3-2-1_105075_2021-12-22_final
2021-12-23 10:20:32	ga_ls7e_ard_3-2-1_112074_2021-12-23_final
2021-12-23 10:20:56	ga_ls7e_ard_3-2-1_112075_2021-12-23_final
2021-12-24 09:26:01	ga_ls7e_ard_3-2-1_103077_2021-12-23_final
2021-12-28 10:39:46	ga_ls7e_ard_3-2-1_115077_2021-12-28_final
2021-12-29 09:40:52	ga_ls7e_ard_3-2-1_106069_2021-12-29_final
2022-01-01 08:33:47	ga_ls7e_ard_3-2-1_095072_2021-12-31_final
2022-01-03 09:59:41	ga_ls7e_ard_3-2-1_109071_2022-01-03_final
2022-01-04 09:04:22	ga_ls7e_ard_3-2-1_100072_2022-01-03_final
2022-01-16 09:26:22	ga_ls7e_ard_3-2-1_104068_2022-01-15_final
2022-01-17 10:11:31	ga_ls7e_ard_3-2-1_111073_2022-01-17_final
2022-01-17 10:12:19	ga_ls7e_ard_3-2-1_111075_2022-01-17_final
2022-01-23 07:56:35	ga_ls7e_ard_3-2-1_089077_2022-01-22_final
2022-01-24 08:37:21	ga_ls7e_ard_3-2-1_096071_2022-01-23_final
2022-02-08 09:33:28	ga_ls7e_ard_3-2-1_105076_2022-02-08_final
2022-02-09 10:15:49	ga_ls7e_ard_3-2-1_112074_2022-02-09_final
2022-02-14 08:52:34	ga_ls7e_ard_3-2-1_099068_2022-02-13_final
2022-02-14 10:36:14	ga_ls7e_ard_3-2-1_115080_2022-02-14_final
2022-02-22 09:42:50	ga_ls7e_ard_3-2-1_107072_2022-02-22_final
2022-02-27 08:27:36	ga_ls7e_ard_3-2-1_094086_2022-02-26_final
2022-03-11 08:44:21	ga_ls7e_ard_3-2-1_098069_2022-03-10_final
2022-03-18 10:33:05	ga_ls7e_ard_3-2-1_115080_2022-03-18_final
2022-03-26 09:44:30	ga_ls7e_ard_3-2-1_107084_2022-03-26_final
2022-04-03 08:47:30	ga_ls7e_ard_3-2-1_099067_2022-04-02_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