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
1999-11-07 11:38:44	ga_ls7e_ard_3-0-0_114077_1999-11-07_final
2000-01-19 11:34:24	ga_ls7e_ard_3-0-0_113082_2000-01-19_final
2000-03-30 11:39:33	ga_ls7e_ard_3-1-0_114080_2000-03-30_final
2000-05-17 11:39:07	ga_ls7e_ard_3-0-0_114080_2000-05-17_final
2000-05-26 11:33:12	ga_ls7e_ard_3-0-0_113081_2000-05-26_final
2000-05-26 11:33:36	ga_ls7e_ard_3-0-0_113082_2000-05-26_final
2000-07-20 11:36:25	ga_ls7e_ard_3-0-0_114075_2000-07-20_final
2000-10-08 11:37:24	ga_ls7e_ard_3-0-0_114080_2000-10-08_final
2000-10-24 11:36:53	ga_ls7e_ard_3-0-0_114079_2000-10-24_final
2001-03-17 11:35:17	ga_ls7e_ard_3-0-0_114075_2001-03-17_final
2001-04-27 11:32:07	ga_ls7e_ard_3-0-0_113083_2001-04-27_final
2001-07-14 11:42:09	ga_ls7e_ard_3-0-0_115079_2001-07-14_final
2001-12-14 11:35:41	ga_ls7e_ard_3-0-0_114080_2001-12-14_final
2002-09-12 11:32:56	ga_ls7e_ard_3-0-0_114075_2002-09-12_final
2002-10-14 11:32:42	ga_ls7e_ard_3-0-0_114075_2002-10-14_final
2002-12-17 11:34:52	ga_ls7e_ard_3-0-0_114079_2002-12-17_final
2003-03-23 11:34:05	ga_ls7e_ard_3-0-0_114076_2003-03-23_final
2003-04-08 11:34:35	ga_ls7e_ard_3-0-0_114077_2003-04-08_final
2004-09-17 11:34:03	ga_ls7e_ard_3-0-0_114076_2004-09-17_final
2008-04-05 11:35:34	ga_ls7e_ard_3-0-0_114076_2008-04-05_final
2008-06-15 11:42:32	ga_ls7e_ard_3-0-0_115079_2008-06-15_final
2009-05-10 11:35:51	ga_ls7e_ard_3-0-0_114076_2009-05-10_final
2011-06-24 11:46:21	ga_ls7e_ard_3-0-0_115079_2011-06-24_final
2013-04-19 11:41:23	ga_ls7e_ard_3-0-0_114076_2013-04-19_final
2013-07-08 11:41:39	ga_ls7e_ard_3-0-0_114078_2013-07-08_final
2013-11-04 11:48:07	ga_ls7e_ard_3-1-0_115077_2013-11-04_final
2014-04-22 11:42:36	ga_ls7e_ard_3-0-0_114076_2014-04-22_final
2014-06-02 11:38:38	ga_ls7e_ard_3-0-0_113081_2014-06-02_final
2014-07-27 11:43:02	ga_ls7e_ard_3-0-0_114076_2014-07-27_final
2014-08-03 11:49:39	ga_ls7e_ard_3-1-0_115077_2014-08-03_final
2015-07-14 11:45:09	ga_ls7e_ard_3-0-0_114076_2015-07-14_final
2017-06-01 11:47:59	ga_ls7e_ard_3-0-0_114076_2017-06-01_final
2019-05-22 11:35:53	ga_ls7e_ard_3-0-0_114076_2019-05-22_final
2019-11-23 11:25:18	ga_ls7e_ard_3-1-0_113084_2019-11-23_final
2020-12-01 10:25:19	ga_ls7e_ard_3-1-0_107082_2020-12-01_final
2020-12-03 10:11:37	ga_ls7e_ard_3-1-0_105079_2020-12-03_final
2020-12-04 09:17:31	ga_ls7e_ard_3-1-0_096083_2020-12-03_final
2020-12-14 09:52:39	ga_ls7e_ard_3-1-0_102080_2020-12-14_final
2021-01-05 09:12:24	ga_ls7e_ard_3-1-0_096076_2021-01-04_final
2021-01-23 08:59:09	ga_ls7e_ard_3-2-0_094077_2021-01-22_final
2021-01-28 10:56:37	ga_ls7e_ard_3-2-0_113078_2021-01-28_final
2021-02-09 09:41:58	ga_ls7e_ard_3-2-0_101079_2021-02-09_final
2021-02-24 08:56:22	ga_ls7e_ard_3-2-0_094076_2021-02-23_final
2021-02-24 08:56:46	ga_ls7e_ard_3-2-0_094077_2021-02-23_final
2021-03-08 09:19:46	ga_ls7e_ard_3-2-0_098075_2021-03-07_final
2021-03-12 08:55:08	ga_ls7e_ard_3-2-0_094076_2021-03-11_final
2021-03-17 09:12:52	ga_ls7e_ard_3-2-0_097075_2021-03-16_final
2021-04-08 10:14:04	ga_ls7e_ard_3-2-0_107078_2021-04-08_final
2021-04-12 09:47:49	ga_ls7e_ard_3-2-0_103075_2021-04-12_final
2021-04-27 09:03:41	ga_ls7e_ard_3-2-0_096076_2021-04-26_final
2021-05-05 09:52:52	ga_ls7e_ard_3-2-0_104077_2021-05-05_final
2021-05-11 10:53:46	ga_ls7e_ard_3-2-0_114076_2021-05-11_final
2021-05-13 09:04:45	ga_ls7e_ard_3-2-0_096082_2021-05-12_final
2021-05-22 08:56:13	ga_ls7e_ard_3-2-0_095078_2021-05-21_final
2021-05-24 08:43:41	ga_ls7e_ard_3-2-0_093078_2021-05-23_final
2021-05-30 09:44:34	ga_ls7e_ard_3-2-0_103077_2021-05-30_final
2021-05-31 08:48:51	ga_ls7e_ard_3-2-0_094077_2021-05-30_final
2021-06-09 08:43:08	ga_ls7e_ard_3-2-0_093080_2021-06-08_final
2021-06-15 09:42:27	ga_ls7e_ard_3-2-0_103075_2021-06-15_final
2021-06-16 08:49:57	ga_ls7e_ard_3-2-0_094083_2021-06-15_final
2021-06-21 09:07:40	ga_ls7e_ard_3-2-0_097082_2021-06-20_final
2021-06-23 10:32:02	ga_ls7e_ard_3-2-0_111077_2021-06-23_final
2021-06-24 09:36:20	ga_ls7e_ard_3-2-0_102077_2021-06-24_final
2021-06-27 10:06:35	ga_ls7e_ard_3-2-0_107076_2021-06-27_final
2021-07-10 09:35:23	ga_ls7e_ard_3-2-0_102078_2021-07-10_final
2021-07-24 09:44:09	ga_ls7e_ard_3-2-0_104072_2021-07-24_final
2021-07-27 08:39:54	ga_ls7e_ard_3-2-0_093082_2021-07-26_final
2021-08-01 08:54:48	ga_ls7e_ard_3-2-0_096074_2021-07-31_final
2021-08-01 08:56:00	ga_ls7e_ard_3-2-0_096077_2021-07-31_final
2021-08-04 09:28:14	ga_ls7e_ard_3-2-0_101081_2021-08-03_final
2021-08-18 09:36:09	ga_ls7e_ard_3-2-0_103073_2021-08-18_final
2021-08-18 09:37:45	ga_ls7e_ard_3-2-0_103077_2021-08-18_final
2021-08-25 09:41:44	ga_ls7e_ard_3-2-0_104073_2021-08-25_final
2021-09-02 08:51:12	ga_ls7e_ard_3-2-0_096072_2021-09-01_final
2021-09-09 10:38:27	ga_ls7e_ard_3-2-0_113079_2021-09-09_final
2021-09-23 09:09:05	ga_ls7e_ard_3-2-0_099075_2021-09-22_final
2021-09-26 09:39:19	ga_ls7e_ard_3-2-0_104074_2021-09-26_final
2021-09-27 08:45:12	ga_ls7e_ard_3-2-0_095078_2021-09-26_final
2021-10-04 10:30:50	ga_ls7e_ard_3-2-0_112081_2021-10-04_final
2021-10-16 09:15:37	ga_ls7e_ard_3-2-0_100081_2021-10-15_final
2021-11-11 08:12:36	ga_ls7e_ard_3-2-0_090084_2021-11-10_final
2021-11-21 08:45:06	ga_ls7e_ard_3-2-1_096075_2021-11-20_final
2021-11-22 09:28:16	ga_ls7e_ard_3-2-1_103075_2021-11-21_final
2021-11-23 08:33:21	ga_ls7e_ard_3-2-1_094077_2021-11-22_final
2021-11-29 09:32:59	ga_ls7e_ard_3-2-1_104073_2021-11-29_final
2021-11-30 08:39:16	ga_ls7e_ard_3-2-1_095078_2021-11-29_final
2021-12-09 08:32:39	ga_ls7e_ard_3-2-1_094079_2021-12-08_final
2021-12-25 10:09:58	ga_ls7e_ard_3-2-1_110079_2021-12-25_final
2021-12-29 09:44:51	ga_ls7e_ard_3-2-1_106079_2021-12-29_final
2022-01-14 09:44:06	ga_ls7e_ard_3-2-1_106081_2022-01-14_final
2022-01-17 08:34:38	ga_ls7e_ard_3-2-1_095078_2022-01-16_final
2022-01-21 09:50:01	ga_ls7e_ard_3-2-1_107082_2022-01-21_final
2022-02-09 08:38:08	ga_ls7e_ard_3-2-1_096077_2022-02-08_final
2022-02-09 10:17:01	ga_ls7e_ard_3-2-1_112077_2022-02-09_final
2022-03-05 09:23:14	ga_ls7e_ard_3-2-1_104072_2022-03-04_final
2022-03-13 08:36:35	ga_ls7e_ard_3-2-1_096081_2022-03-12_final
2022-03-15 10:01:42	ga_ls7e_ard_3-2-1_110078_2022-03-15_final
2022-03-19 09:37:46	ga_ls7e_ard_3-2-1_106081_2022-03-19_final
2022-03-20 08:40:04	ga_ls7e_ard_3-2-1_097076_2022-03-19_final
2022-03-29 08:35:26	ga_ls7e_ard_3-2-1_096082_2022-03-28_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