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
2000-03-25 09:42:59	ga_ls7e_ard_3-0-0_095082_2000-03-25_final
2000-04-10 09:44:21	ga_ls7e_ard_3-0-0_095086_2000-04-10_final
2000-09-17 09:42:08	ga_ls7e_ard_3-0-0_095085_2000-09-17_final
2001-03-28 09:40:57	ga_ls7e_ard_3-0-0_095083_2001-03-28_final
2001-07-02 09:40:09	ga_ls7e_ard_3-0-0_095083_2001-07-02_final
2002-08-06 09:39:46	ga_ls7e_ard_3-1-0_095085_2002-08-06_final
2003-03-18 09:39:54	ga_ls7e_ard_3-0-0_095084_2003-03-18_final
2005-08-14 09:38:56	ga_ls7e_ard_3-0-0_095080_2005-08-14_final
2006-08-01 09:40:29	ga_ls7e_ard_3-0-0_095083_2006-08-01_final
2006-09-02 09:40:48	ga_ls7e_ard_3-0-0_095084_2006-09-02_final
2007-01-08 09:39:25	ga_ls7e_ard_3-1-0_095079_2007-01-08_final
2007-04-14 09:40:30	ga_ls7e_ard_3-0-0_095081_2007-04-14_final
2008-02-28 09:38:37	ga_ls7e_ard_3-0-0_095077_2008-02-28_final
2008-03-15 09:39:44	ga_ls7e_ard_3-0-0_095080_2008-03-15_final
2008-07-05 09:40:19	ga_ls7e_ard_3-0-0_095083_2008-07-05_final
2008-08-06 09:40:25	ga_ls7e_ard_3-0-0_095084_2008-08-06_final
2009-04-03 09:41:28	ga_ls7e_ard_3-0-0_095084_2009-04-03_final
2009-12-15 09:39:23	ga_ls7e_ard_3-0-0_095077_2009-12-15_final
2010-06-25 09:40:34	ga_ls7e_ard_3-0-0_095077_2010-06-25_final
2010-08-28 09:41:52	ga_ls7e_ard_3-0-0_095080_2010-08-28_final
2012-01-22 09:43:36	ga_ls7e_ard_3-0-0_095080_2012-01-22_final
2012-01-22 09:44:23	ga_ls7e_ard_3-0-0_095082_2012-01-22_final
2012-03-10 09:44:05	ga_ls7e_ard_3-0-0_095081_2012-03-10_final
2012-08-01 09:42:56	ga_ls7e_ard_3-0-0_095076_2012-08-01_final
2013-01-24 09:46:59	ga_ls7e_ard_3-0-0_095083_2013-01-24_final
2013-10-23 09:45:39	ga_ls7e_ard_3-0-0_095080_2013-10-23_final
2015-05-22 09:49:03	ga_ls7e_ard_3-0-0_095080_2015-05-22_final
2017-03-08 09:54:31	ga_ls7e_ard_3-0-0_095087_2017-03-08_final
2017-04-09 09:54:17	ga_ls7e_ard_3-0-0_095086_2017-04-09_final
2017-08-31 09:52:36	ga_ls7e_ard_3-0-0_095081_2017-08-31_final
2018-05-14 09:50:14	ga_ls7e_ard_3-0-0_095081_2018-05-14_final
2018-07-01 09:49:24	ga_ls7e_ard_3-0-0_095081_2018-07-01_final
2018-09-03 09:49:47	ga_ls7e_ard_3-0-0_095085_2018-09-03_final
2020-09-24 09:13:43	ga_ls7e_ard_3-1-0_095077_2020-09-23_final
2021-02-08 10:36:52	ga_ls7e_ard_3-2-0_110077_2021-02-08_final
2021-02-11 09:27:51	ga_ls7e_ard_3-2-0_099075_2021-02-10_final
2021-02-17 08:55:31	ga_ls7e_ard_3-2-0_093088_2021-02-16_final
2021-02-21 10:05:47	ga_ls7e_ard_3-2-0_105079_2021-02-21_final
2021-03-01 09:16:07	ga_ls7e_ard_3-2-0_097080_2021-02-28_final
2021-03-07 08:38:59	ga_ls7e_ard_3-2-0_091081_2021-03-06_final
2021-03-10 09:08:26	ga_ls7e_ard_3-2-0_096078_2021-03-09_final
2021-03-12 08:54:44	ga_ls7e_ard_3-2-0_094075_2021-03-11_final
2021-03-14 08:46:12	ga_ls7e_ard_3-2-0_092085_2021-03-13_final
2021-03-17 10:52:57	ga_ls7e_ard_3-2-0_113078_2021-03-17_final
2021-03-22 09:30:37	ga_ls7e_ard_3-2-0_100074_2021-03-22_final
2021-03-27 09:49:32	ga_ls7e_ard_3-2-0_103076_2021-03-27_final
2021-04-04 10:38:43	ga_ls7e_ard_3-2-0_111077_2021-04-04_final
2021-04-08 08:38:47	ga_ls7e_ard_3-2-0_091087_2021-04-07_final
2021-04-15 08:40:23	ga_ls7e_ard_3-2-0_092077_2021-04-14_final
2021-04-18 10:50:43	ga_ls7e_ard_3-2-0_113079_2021-04-18_final
2021-04-25 09:18:13	ga_ls7e_ard_3-2-0_098081_2021-04-24_final
2021-04-26 10:00:59	ga_ls7e_ard_3-2-0_105080_2021-04-26_final
2021-05-05 09:52:52	ga_ls7e_ard_3-2-0_104077_2021-05-05_final
2021-05-08 10:25:07	ga_ls7e_ard_3-2-0_109081_2021-05-08_final
2021-05-11 10:54:58	ga_ls7e_ard_3-2-0_114079_2021-05-11_final
2021-05-12 08:21:59	ga_ls7e_ard_3-2-0_089083_2021-05-11_final
2021-05-12 09:58:51	ga_ls7e_ard_3-2-0_105078_2021-05-12_final
2021-05-29 09:03:47	ga_ls7e_ard_3-2-0_096083_2021-05-28_final
2021-06-01 09:31:38	ga_ls7e_ard_3-2-0_101076_2021-06-01_final
2021-06-07 10:34:32	ga_ls7e_ard_3-2-0_111080_2021-06-07_final
2021-06-09 10:19:13	ga_ls7e_ard_3-2-0_109073_2021-06-09_final
2021-06-26 09:24:36	ga_ls7e_ard_3-2-0_100079_2021-06-25_final
2021-06-28 09:09:41	ga_ls7e_ard_3-2-0_098073_2021-06-27_final
2021-07-16 08:55:24	ga_ls7e_ard_3-2-0_096072_2021-07-15_final
2021-07-18 08:44:28	ga_ls7e_ard_3-2-0_094076_2021-07-17_final
2021-07-18 10:21:21	ga_ls7e_ard_3-2-0_110071_2021-07-18_final
2021-07-24 09:43:45	ga_ls7e_ard_3-2-0_104071_2021-07-24_final
2021-08-13 09:20:51	ga_ls7e_ard_3-2-0_100080_2021-08-12_final
2021-08-16 09:51:29	ga_ls7e_ard_3-2-0_105080_2021-08-16_final
2021-08-18 09:37:45	ga_ls7e_ard_3-2-0_103077_2021-08-18_final
2021-08-22 10:52:22	ga_ls7e_ard_3-2-0_115079_2021-08-22_final
2021-08-23 08:17:23	ga_ls7e_ard_3-2-0_090078_2021-08-22_final
2021-08-23 08:20:34	ga_ls7e_ard_3-2-0_090086_2021-08-22_final
2021-08-25 09:42:32	ga_ls7e_ard_3-2-0_104075_2021-08-25_final
2021-08-28 10:12:23	ga_ls7e_ard_3-2-0_109073_2021-08-28_final
2021-09-09 08:59:34	ga_ls7e_ard_3-2-0_097079_2021-09-08_final
2021-09-11 08:47:26	ga_ls7e_ard_3-2-0_095080_2021-09-10_final
2021-10-20 08:49:44	ga_ls7e_ard_3-2-0_096079_2021-10-19_final
2021-10-23 09:19:34	ga_ls7e_ard_3-2-0_101077_2021-10-22_final
2021-10-26 08:12:07	ga_ls7e_ard_3-2-0_090079_2021-10-25_final
2021-11-03 10:39:41	ga_ls7e_ard_3-2-0_114079_2021-11-03_final
2021-11-14 10:19:17	ga_ls7e_ard_3-2-1_111077_2021-11-14_final
2021-11-25 09:56:29	ga_ls7e_ard_3-2-1_108069_2021-11-25_final
2021-12-23 08:44:51	ga_ls7e_ard_3-2-1_096082_2021-12-22_final
2021-12-31 09:29:30	ga_ls7e_ard_3-2-1_104072_2021-12-30_final
2022-01-19 08:21:41	ga_ls7e_ard_3-2-1_093077_2022-01-18_final
2022-01-21 09:47:13	ga_ls7e_ard_3-2-1_107075_2022-01-21_final
2022-01-22 10:31:58	ga_ls7e_ard_3-2-1_114079_2022-01-22_final
2022-01-24 10:18:13	ga_ls7e_ard_3-2-1_112076_2022-01-24_final
2022-01-26 10:06:04	ga_ls7e_ard_3-2-1_110077_2022-01-26_final
2022-01-29 08:59:23	ga_ls7e_ard_3-2-1_099081_2022-01-28_final
2022-02-04 08:19:43	ga_ls7e_ard_3-2-1_093076_2022-02-03_final
2022-02-04 08:21:43	ga_ls7e_ard_3-2-1_093081_2022-02-03_final
2022-02-11 08:26:46	ga_ls7e_ard_3-2-1_094080_2022-02-10_final
2022-02-21 09:01:15	ga_ls7e_ard_3-2-1_100076_2022-02-20_final
2022-02-23 10:27:11	ga_ls7e_ard_3-2-1_114075_2022-02-23_final
2022-02-25 08:37:45	ga_ls7e_ard_3-2-1_096080_2022-02-24_final
2022-03-01 09:53:07	ga_ls7e_ard_3-2-1_108084_2022-03-01_final
2022-03-15 08:22:25	ga_ls7e_ard_3-2-1_094077_2022-03-14_final
2022-03-26 08:06:01	ga_ls7e_ard_3-2-1_091085_2022-03-25_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