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
2000-01-21 09:42:47	ga_ls7e_ard_3-0-0_095081_2000-01-21_final
2005-05-26 09:40:47	ga_ls7e_ard_3-0-0_095084_2005-05-26_final
2006-11-05 09:41:00	ga_ls7e_ard_3-0-0_095084_2006-11-05_final
2007-06-17 09:41:27	ga_ls7e_ard_3-0-0_095084_2007-06-17_final
2009-11-13 09:41:46	ga_ls7e_ard_3-0-0_095084_2009-11-13_final
2010-03-21 09:43:45	ga_ls7e_ard_3-0-0_095085_2010-03-21_final
2011-06-28 09:45:55	ga_ls7e_ard_3-0-0_095087_2011-06-28_final
2011-12-21 09:45:29	ga_ls7e_ard_3-0-0_095085_2011-12-21_final
2012-01-22 09:45:11	ga_ls7e_ard_3-0-0_095084_2012-01-22_final
2013-04-30 09:46:42	ga_ls7e_ard_3-0-0_095083_2013-04-30_final
2013-10-07 09:47:06	ga_ls7e_ard_3-0-0_095084_2013-10-07_final
2015-01-30 09:49:51	ga_ls7e_ard_3-0-0_095084_2015-01-30_final
2015-08-10 09:49:49	ga_ls7e_ard_3-0-0_095081_2015-08-10_final
2016-03-21 09:51:43	ga_ls7e_ard_3-0-0_095080_2016-03-21_final
2016-09-29 09:52:45	ga_ls7e_ard_3-0-0_095081_2016-09-29_final
2016-10-15 09:53:56	ga_ls7e_ard_3-0-0_095084_2016-10-15_final
2016-12-18 09:52:49	ga_ls7e_ard_3-0-0_095082_2016-12-18_final
2016-12-18 09:54:49	ga_ls7e_ard_3-0-0_095087_2016-12-18_final
2017-01-03 09:53:04	ga_ls7e_ard_3-0-0_095083_2017-01-03_final
2018-05-30 09:49:59	ga_ls7e_ard_3-0-0_095081_2018-05-30_final
2018-10-05 09:48:39	ga_ls7e_ard_3-0-0_095084_2018-10-05_final
2019-05-17 09:41:52	ga_ls7e_ard_3-0-0_095084_2019-05-17_final
2019-06-02 09:39:41	ga_ls7e_ard_3-0-0_095080_2019-06-02_final
2020-02-29 09:29:05	ga_ls7e_ard_3-1-0_095084_2020-02-28_final
2020-03-16 09:29:25	ga_ls7e_ard_3-1-0_095087_2020-03-15_final
2020-11-27 09:12:15	ga_ls7e_ard_3-1-0_095084_2020-11-26_final
2021-01-21 09:13:15	ga_ls7e_ard_3-2-0_096081_2021-01-20_final
2021-02-08 08:59:35	ga_ls7e_ard_3-2-0_094081_2021-02-07_final
2021-02-08 08:59:59	ga_ls7e_ard_3-2-0_094082_2021-02-07_final
2021-02-10 08:50:16	ga_ls7e_ard_3-2-0_092089_2021-02-09_final
2021-02-17 10:32:48	ga_ls7e_ard_3-2-0_109084_2021-02-17_final
2021-02-19 10:15:54	ga_ls7e_ard_3-2-0_107073_2021-02-19_final
2021-02-22 09:10:29	ga_ls7e_ard_3-2-0_096080_2021-02-21_final
2021-02-26 10:19:57	ga_ls7e_ard_3-2-0_108069_2021-02-26_final
2021-03-02 09:58:54	ga_ls7e_ard_3-2-0_104079_2021-03-02_final
2021-03-12 08:58:43	ga_ls7e_ard_3-2-0_094085_2021-03-11_final
2021-03-15 09:27:47	ga_ls7e_ard_3-2-0_099081_2021-03-14_final
2021-03-17 09:14:28	ga_ls7e_ard_3-2-0_097079_2021-03-16_final
2021-04-01 08:31:35	ga_ls7e_ard_3-2-0_090083_2021-03-31_final
2021-04-01 10:08:28	ga_ls7e_ard_3-2-0_106078_2021-04-01_final
2021-04-02 10:51:39	ga_ls7e_ard_3-2-0_113078_2021-04-02_final
2021-04-05 09:43:25	ga_ls7e_ard_3-2-0_102078_2021-04-05_final
2021-04-05 09:43:49	ga_ls7e_ard_3-2-0_102079_2021-04-05_final
2021-04-18 10:51:55	ga_ls7e_ard_3-2-0_113082_2021-04-18_final
2021-05-08 10:20:43	ga_ls7e_ard_3-2-0_109070_2021-05-08_final
2021-05-11 09:17:17	ga_ls7e_ard_3-2-0_098082_2021-05-10_final
2021-05-12 09:59:15	ga_ls7e_ard_3-2-0_105079_2021-05-12_final
2021-05-19 08:27:34	ga_ls7e_ard_3-2-0_090083_2021-05-18_final
2021-05-20 09:09:56	ga_ls7e_ard_3-2-0_097081_2021-05-19_final
2021-05-30 09:44:10	ga_ls7e_ard_3-2-0_103076_2021-05-30_final
2021-06-04 08:25:48	ga_ls7e_ard_3-2-0_090082_2021-06-03_final
2021-06-09 08:45:08	ga_ls7e_ard_3-2-0_093085_2021-06-08_final
2021-06-09 10:18:49	ga_ls7e_ard_3-2-0_109072_2021-06-09_final
2021-06-16 08:48:45	ga_ls7e_ard_3-2-0_094080_2021-06-15_final
2021-06-22 09:50:03	ga_ls7e_ard_3-2-0_104080_2021-06-22_final
2021-06-25 10:16:43	ga_ls7e_ard_3-2-0_109070_2021-06-25_final
2021-06-29 09:52:27	ga_ls7e_ard_3-2-0_105072_2021-06-29_final
2021-07-11 08:42:04	ga_ls7e_ard_3-2-0_093084_2021-07-10_final
2021-07-22 09:56:41	ga_ls7e_ard_3-2-0_106072_2021-07-22_final
2021-07-23 09:00:58	ga_ls7e_ard_3-2-0_097072_2021-07-22_final
2021-07-24 09:43:21	ga_ls7e_ard_3-2-0_104070_2021-07-24_final
2021-07-25 08:52:02	ga_ls7e_ard_3-2-0_095081_2021-07-24_final
2021-08-08 08:59:58	ga_ls7e_ard_3-2-0_097073_2021-08-07_final
2021-08-15 10:46:47	ga_ls7e_ard_3-2-0_114079_2021-08-15_final
2021-08-23 09:53:52	ga_ls7e_ard_3-2-0_106072_2021-08-23_final
2021-08-28 08:39:29	ga_ls7e_ard_3-2-0_093088_2021-08-27_final
2021-08-30 10:03:26	ga_ls7e_ard_3-2-0_107082_2021-08-30_final
2021-09-24 09:51:03	ga_ls7e_ard_3-2-0_106072_2021-09-24_final
2021-09-29 10:11:08	ga_ls7e_ard_3-2-0_109077_2021-09-29_final
2021-10-01 08:24:31	ga_ls7e_ard_3-2-0_091089_2021-09-30_final
2021-10-03 09:47:40	ga_ls7e_ard_3-2-0_105081_2021-10-03_final
2021-10-05 09:33:08	ga_ls7e_ard_3-2-0_103076_2021-10-05_final
2021-10-06 10:16:42	ga_ls7e_ard_3-2-0_110077_2021-10-06_final
2021-10-08 10:05:22	ga_ls7e_ard_3-2-0_108080_2021-10-08_final
2021-11-02 08:19:14	ga_ls7e_ard_3-2-0_091083_2021-11-01_final
2021-11-08 09:17:40	ga_ls7e_ard_3-2-0_101076_2021-11-07_final
2021-11-14 10:19:41	ga_ls7e_ard_3-2-1_111078_2021-11-14_final
2021-11-17 09:10:37	ga_ls7e_ard_3-2-1_100076_2021-11-16_final
2021-11-20 09:38:50	ga_ls7e_ard_3-2-1_105070_2021-11-20_final
2021-11-23 10:12:13	ga_ls7e_ard_3-2-1_110077_2021-11-23_final
2021-11-27 09:47:08	ga_ls7e_ard_3-2-1_106077_2021-11-27_final
2021-11-29 09:35:47	ga_ls7e_ard_3-2-1_104080_2021-11-29_final
2021-12-07 10:25:16	ga_ls7e_ard_3-2-1_112082_2021-12-07_final
2021-12-11 08:21:18	ga_ls7e_ard_3-2-1_092082_2021-12-10_final
2021-12-12 09:01:40	ga_ls7e_ard_3-2-1_099075_2021-12-11_final
2021-12-18 10:03:41	ga_ls7e_ard_3-2-1_109077_2021-12-18_final
2021-12-25 08:31:54	ga_ls7e_ard_3-2-1_094081_2021-12-24_final
2022-01-04 09:07:57	ga_ls7e_ard_3-2-1_100081_2022-01-03_final
2022-01-08 10:21:44	ga_ls7e_ard_3-2-1_112081_2022-01-08_final
2022-01-12 08:16:58	ga_ls7e_ard_3-2-1_092079_2022-01-11_final
2022-01-17 08:35:02	ga_ls7e_ard_3-2-1_095079_2022-01-16_final
2022-01-23 09:35:52	ga_ls7e_ard_3-2-1_105078_2022-01-23_final
2022-02-27 08:24:00	ga_ls7e_ard_3-2-1_094077_2022-02-26_final
2022-03-05 09:26:01	ga_ls7e_ard_3-2-1_104079_2022-03-04_final
2022-03-10 09:44:28	ga_ls7e_ard_3-2-1_107080_2022-03-10_final
2022-03-17 08:11:27	ga_ls7e_ard_3-2-1_092081_2022-03-16_final
2022-03-20 08:41:40	ga_ls7e_ard_3-2-1_097080_2022-03-19_final
2022-03-23 09:11:05	ga_ls7e_ard_3-2-1_102077_2022-03-22_final
2022-04-04 09:35:03	ga_ls7e_ard_3-2-1_106078_2022-04-04_final
2022-04-05 10:17:24	ga_ls7e_ard_3-2-1_113076_2022-04-05_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