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
1999-08-26 11:43:44	ga_ls7e_ard_3-0-0_115074_1999-08-26_final
1999-10-22 11:38:15	ga_ls7e_ard_3-0-0_114076_1999-10-22_final
1999-12-16 11:43:46	ga_ls7e_ard_3-0-0_115074_1999-12-16_final
2000-01-26 11:40:13	ga_ls7e_ard_3-0-0_114081_2000-01-26_final
2000-02-18 11:44:17	ga_ls7e_ard_3-0-0_115076_2000-02-18_final
2000-06-02 11:36:56	ga_ls7e_ard_3-0-0_114075_2000-06-02_final
2000-08-28 11:43:44	ga_ls7e_ard_3-0-0_115079_2000-08-28_final
2001-01-12 11:37:30	ga_ls7e_ard_3-0-0_114080_2001-01-12_final
2001-04-02 11:35:32	ga_ls7e_ard_3-0-0_114076_2001-04-02_final
2001-05-04 11:37:29	ga_ls7e_ard_3-0-0_114081_2001-05-04_final
2001-05-27 11:40:37	ga_ls7e_ard_3-0-0_115074_2001-05-27_final
2002-03-04 11:35:58	ga_ls7e_ard_3-0-0_114080_2002-03-04_final
2002-03-20 11:35:46	ga_ls7e_ard_3-0-0_114080_2002-03-20_final
2003-02-03 11:35:36	ga_ls7e_ard_3-0-0_114080_2003-02-03_final
2003-04-24 11:34:57	ga_ls7e_ard_3-0-0_114078_2003-04-24_final
2010-03-10 11:37:31	ga_ls7e_ard_3-0-0_114076_2010-03-10_final
2010-11-05 11:39:12	ga_ls7e_ard_3-0-0_114079_2010-11-05_final
2012-08-06 11:41:15	ga_ls7e_ard_3-0-0_114078_2012-08-06_final
2012-10-09 11:41:28	ga_ls7e_ard_3-0-0_114077_2012-10-09_final
2014-08-28 11:43:26	ga_ls7e_ard_3-0-0_114077_2014-08-28_final
2014-12-18 11:44:20	ga_ls7e_ard_3-0-0_114077_2014-12-18_final
2016-05-13 11:48:13	ga_ls7e_ard_3-0-0_114077_2016-05-13_final
2016-10-04 11:48:35	ga_ls7e_ard_3-0-0_114077_2016-10-04_final
2017-03-29 11:48:51	ga_ls7e_ard_3-0-0_114079_2017-03-29_final
2017-06-17 11:49:39	ga_ls7e_ard_3-0-0_114080_2017-06-17_final
2017-08-04 11:48:51	ga_ls7e_ard_3-0-0_114078_2017-08-04_final
2017-12-10 11:47:50	ga_ls7e_ard_3-0-0_114076_2017-12-10_final
2019-07-25 11:34:18	ga_ls7e_ard_3-0-0_114078_2019-07-25_final
2020-12-04 09:15:07	ga_ls7e_ard_3-1-0_096077_2020-12-03_final
2020-12-10 08:39:59	ga_ls7e_ard_3-1-0_090083_2020-12-09_final
2020-12-29 10:47:58	ga_ls7e_ard_3-1-0_111082_2020-12-29_final
2021-01-28 09:16:32	ga_ls7e_ard_3-2-0_097075_2021-01-27_final
2021-02-03 08:42:12	ga_ls7e_ard_3-2-0_091083_2021-02-02_final
2021-02-19 10:16:42	ga_ls7e_ard_3-2-0_107075_2021-02-19_final
2021-02-27 09:29:02	ga_ls7e_ard_3-2-0_099081_2021-02-26_final
2021-03-08 09:21:21	ga_ls7e_ard_3-2-0_098079_2021-03-07_final
2021-03-10 09:10:26	ga_ls7e_ard_3-2-0_096083_2021-03-09_final
2021-03-21 10:29:30	ga_ls7e_ard_3-2-0_109082_2021-03-21_final
2021-03-25 10:03:16	ga_ls7e_ard_3-2-0_105079_2021-03-25_final
2021-03-26 10:46:02	ga_ls7e_ard_3-2-0_112078_2021-03-26_final
2021-03-31 09:24:06	ga_ls7e_ard_3-2-0_099075_2021-03-30_final
2021-04-02 09:12:22	ga_ls7e_ard_3-2-0_097077_2021-04-01_final
2021-04-08 08:39:11	ga_ls7e_ard_3-2-0_091088_2021-04-07_final
2021-04-18 09:12:14	ga_ls7e_ard_3-2-0_097080_2021-04-17_final
2021-04-20 10:37:47	ga_ls7e_ard_3-2-0_111078_2021-04-20_final
2021-04-23 09:27:57	ga_ls7e_ard_3-2-0_100074_2021-04-22_final
2021-04-27 09:05:41	ga_ls7e_ard_3-2-0_096081_2021-04-26_final
2021-05-03 08:28:30	ga_ls7e_ard_3-2-0_090082_2021-05-02_final
2021-05-11 10:50:10	ga_ls7e_ard_3-2-0_114067_2021-05-11_final
2021-05-12 10:00:27	ga_ls7e_ard_3-2-0_105082_2021-05-12_final
2021-05-22 08:55:01	ga_ls7e_ard_3-2-0_095075_2021-05-21_final
2021-05-24 08:42:53	ga_ls7e_ard_3-2-0_093076_2021-05-23_final
2021-05-29 10:39:28	ga_ls7e_ard_3-2-0_112075_2021-05-29_final
2021-06-07 10:33:44	ga_ls7e_ard_3-2-0_111078_2021-06-07_final
2021-06-11 10:07:54	ga_ls7e_ard_3-2-0_107076_2021-06-11_final
2021-06-21 09:04:05	ga_ls7e_ard_3-2-0_097073_2021-06-20_final
2021-06-25 08:45:01	ga_ls7e_ard_3-2-0_093088_2021-06-24_final
2021-06-25 10:16:43	ga_ls7e_ard_3-2-0_109070_2021-06-25_final
2021-06-27 08:30:30	ga_ls7e_ard_3-2-0_091083_2021-06-26_final
2021-07-07 09:06:44	ga_ls7e_ard_3-2-0_097083_2021-07-06_final
2021-07-12 09:21:15	ga_ls7e_ard_3-2-0_100074_2021-07-11_final
2021-07-13 08:26:45	ga_ls7e_ard_3-2-0_091077_2021-07-12_final
2021-07-25 10:30:31	ga_ls7e_ard_3-2-0_111080_2021-07-25_final
2021-08-05 10:11:48	ga_ls7e_ard_3-2-0_108082_2021-08-05_final
2021-08-24 08:58:10	ga_ls7e_ard_3-2-0_097072_2021-08-23_final
2021-08-24 10:40:38	ga_ls7e_ard_3-2-0_113081_2021-08-24_final
2021-08-28 10:12:23	ga_ls7e_ard_3-2-0_109073_2021-08-28_final
2021-08-30 08:23:22	ga_ls7e_ard_3-2-0_091079_2021-08-29_final
2021-09-02 08:50:48	ga_ls7e_ard_3-2-0_096071_2021-09-01_final
2021-09-11 08:46:14	ga_ls7e_ard_3-2-0_095077_2021-09-10_final
2021-09-16 09:03:56	ga_ls7e_ard_3-2-0_098076_2021-09-15_final
2021-09-18 10:32:40	ga_ls7e_ard_3-2-0_112082_2021-09-18_final
2021-09-22 10:08:23	ga_ls7e_ard_3-2-0_108084_2021-09-22_final
2021-09-25 08:56:56	ga_ls7e_ard_3-2-0_097076_2021-09-24_final
2021-09-29 08:36:39	ga_ls7e_ard_3-2-0_093088_2021-09-28_final
2021-09-29 10:11:08	ga_ls7e_ard_3-2-0_109077_2021-09-29_final
2021-09-30 09:13:50	ga_ls7e_ard_3-2-0_100073_2021-09-29_final
2021-10-06 10:17:54	ga_ls7e_ard_3-2-0_110080_2021-10-06_final
2021-10-12 09:38:42	ga_ls7e_ard_3-2-0_104076_2021-10-12_final
2021-10-15 10:11:44	ga_ls7e_ard_3-2-0_109082_2021-10-15_final
2021-10-20 08:50:08	ga_ls7e_ard_3-2-0_096080_2021-10-19_final
2021-10-26 09:50:36	ga_ls7e_ard_3-2-0_106078_2021-10-26_final
2021-10-28 09:37:15	ga_ls7e_ard_3-2-0_104076_2021-10-28_final
2021-10-29 10:20:01	ga_ls7e_ard_3-2-0_111075_2021-10-29_final
2021-11-10 09:04:43	ga_ls7e_ard_3-2-0_099075_2021-11-09_final
2021-11-25 10:00:28	ga_ls7e_ard_3-2-1_108079_2021-11-25_final
2021-12-11 09:59:22	ga_ls7e_ard_3-2-1_108080_2021-12-11_final
2021-12-29 09:44:03	ga_ls7e_ard_3-2-1_106077_2021-12-29_final
2022-01-13 08:58:32	ga_ls7e_ard_3-2-1_099075_2022-01-12_final
2022-01-31 08:45:14	ga_ls7e_ard_3-2-1_097077_2022-01-30_final
2022-01-31 10:24:55	ga_ls7e_ard_3-2-1_113079_2022-01-31_final
2022-02-02 10:12:45	ga_ls7e_ard_3-2-1_111080_2022-02-02_final
2022-02-07 08:50:18	ga_ls7e_ard_3-2-1_098076_2022-02-06_final
2022-02-20 08:19:41	ga_ls7e_ard_3-2-1_093080_2022-02-19_final
2022-02-23 08:48:19	ga_ls7e_ard_3-2-1_098075_2022-02-22_final
2022-03-01 08:11:27	ga_ls7e_ard_3-2-1_092077_2022-02-28_final
2022-03-01 08:12:15	ga_ls7e_ard_3-2-1_092079_2022-02-28_final
2022-03-06 08:29:54	ga_ls7e_ard_3-2-1_095078_2022-03-05_final
2022-03-11 08:46:45	ga_ls7e_ard_3-2-1_098075_2022-03-10_final
2022-03-22 10:06:00	ga_ls7e_ard_3-2-1_111075_2022-03-22_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