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
1999-11-30 11:45:35	ga_ls7e_ard_3-0-0_115079_1999-11-30_final
2003-09-22 11:41:00	ga_ls7e_ard_3-0-0_115079_2003-09-22_final
2006-01-17 11:42:18	ga_ls7e_ard_3-0-0_115078_2006-01-17_final
2006-10-16 11:42:18	ga_ls7e_ard_3-0-0_115079_2006-10-16_final
2006-12-19 11:42:35	ga_ls7e_ard_3-0-0_115078_2006-12-19_final
2008-09-03 11:41:25	ga_ls7e_ard_3-0-0_115078_2008-09-03_final
2008-12-08 11:42:13	ga_ls7e_ard_3-0-0_115079_2008-12-08_final
2009-09-22 11:42:33	ga_ls7e_ard_3-0-0_115078_2009-09-22_final
2010-01-12 11:44:16	ga_ls7e_ard_3-0-0_115079_2010-01-12_final
2010-03-17 11:44:33	ga_ls7e_ard_3-0-0_115078_2010-03-17_final
2010-09-09 11:44:41	ga_ls7e_ard_3-0-0_115078_2010-09-09_final
2010-12-30 11:45:57	ga_ls7e_ard_3-0-0_115079_2010-12-30_final
2012-09-30 11:48:00	ga_ls7e_ard_3-0-0_115078_2012-09-30_final
2013-02-05 11:48:37	ga_ls7e_ard_3-0-0_115078_2013-02-05_final
2013-10-19 11:48:26	ga_ls7e_ard_3-0-0_115078_2013-10-19_final
2014-10-06 11:50:19	ga_ls7e_ard_3-0-0_115078_2014-10-06_final
2015-03-15 11:51:21	ga_ls7e_ard_3-0-0_115078_2015-03-15_final
2020-12-02 09:24:26	ga_ls7e_ard_3-1-0_098069_2020-12-01_final
2020-12-03 10:10:01	ga_ls7e_ard_3-1-0_105075_2020-12-03_final
2020-12-08 10:31:23	ga_ls7e_ard_3-1-0_108083_2020-12-08_final
2020-12-15 08:59:45	ga_ls7e_ard_3-1-0_093087_2020-12-14_final
2020-12-19 10:11:36	ga_ls7e_ard_3-1-0_105082_2020-12-19_final
2020-12-20 10:55:35	ga_ls7e_ard_3-1-0_112084_2020-12-20_final
2020-12-25 11:10:34	ga_ls7e_ard_3-1-0_115076_2020-12-25_final
2020-12-26 08:41:11	ga_ls7e_ard_3-1-0_090089_2020-12-25_final
2021-01-03 09:26:29	ga_ls7e_ard_3-1-0_098080_2021-01-02_final
2021-01-03 11:02:58	ga_ls7e_ard_3-1-0_114074_2021-01-03_final
2021-01-03 11:05:46	ga_ls7e_ard_3-1-0_114081_2021-01-03_final
2021-01-10 11:09:28	ga_ls7e_ard_3-1-0_115076_2021-01-10_final
2021-01-14 10:44:04	ga_ls7e_ard_3-1-0_111075_2021-01-14_final
2021-01-18 08:40:35	ga_ls7e_ard_3-1-0_091076_2021-01-17_final
2021-01-25 10:23:56	ga_ls7e_ard_3-2-0_108073_2021-01-25_final
2021-01-30 10:42:30	ga_ls7e_ard_3-2-0_111074_2021-01-30_final
2021-02-11 11:06:20	ga_ls7e_ard_3-2-0_115074_2021-02-11_final
2021-02-13 09:17:45	ga_ls7e_ard_3-2-0_097081_2021-02-12_final
2021-02-20 09:24:35	ga_ls7e_ard_3-2-0_098084_2021-02-19_final
2021-03-05 10:26:23	ga_ls7e_ard_3-2-0_109071_2021-03-05_final
2021-03-11 09:52:49	ga_ls7e_ard_3-2-0_103081_2021-03-11_final
2021-03-12 10:34:00	ga_ls7e_ard_3-2-0_110076_2021-03-12_final
2021-03-16 08:35:41	ga_ls7e_ard_3-2-0_090090_2021-03-15_final
2021-03-28 08:55:26	ga_ls7e_ard_3-2-0_094080_2021-03-27_final
2021-04-02 10:52:51	ga_ls7e_ard_3-2-0_113081_2021-04-02_final
2021-04-06 10:23:24	ga_ls7e_ard_3-2-0_109070_2021-04-06_final
2021-04-09 09:15:11	ga_ls7e_ard_3-2-0_098070_2021-04-08_final
2021-04-23 09:26:45	ga_ls7e_ard_3-2-0_100071_2021-04-22_final
2021-04-26 09:56:12	ga_ls7e_ard_3-2-0_105068_2021-04-26_final
2021-05-10 08:31:43	ga_ls7e_ard_3-2-0_091076_2021-05-09_final
2021-05-12 10:00:03	ga_ls7e_ard_3-2-0_105081_2021-05-12_final
2021-05-13 10:43:38	ga_ls7e_ard_3-2-0_112082_2021-05-13_final
2021-05-18 10:58:57	ga_ls7e_ard_3-2-0_115075_2021-05-18_final
2021-05-25 09:28:51	ga_ls7e_ard_3-2-0_100083_2021-05-24_final
2021-05-31 08:47:16	ga_ls7e_ard_3-2-0_094073_2021-05-30_final
2021-06-11 08:32:37	ga_ls7e_ard_3-2-0_091085_2021-06-10_final
2021-06-12 10:53:04	ga_ls7e_ard_3-2-0_114081_2021-06-12_final
2021-06-15 09:41:15	ga_ls7e_ard_3-2-0_103072_2021-06-15_final
2021-06-17 09:33:07	ga_ls7e_ard_3-2-0_101083_2021-06-17_final
2021-06-19 09:20:36	ga_ls7e_ard_3-2-0_099083_2021-06-18_final
2021-06-20 09:58:35	ga_ls7e_ard_3-2-0_106070_2021-06-20_final
2021-06-22 09:47:16	ga_ls7e_ard_3-2-0_104073_2021-06-22_final
2021-06-23 10:29:38	ga_ls7e_ard_3-2-0_111071_2021-06-23_final
2021-06-28 10:48:58	ga_ls7e_ard_3-2-0_114074_2021-06-28_final
2021-07-07 09:05:56	ga_ls7e_ard_3-2-0_097081_2021-07-06_final
2021-07-07 10:46:01	ga_ls7e_ard_3-2-0_113084_2021-07-07_final
2021-07-13 10:06:50	ga_ls7e_ard_3-2-0_107080_2021-07-13_final
2021-07-16 10:35:04	ga_ls7e_ard_3-2-0_112074_2021-07-16_final
2021-07-28 09:23:52	ga_ls7e_ard_3-2-0_100084_2021-07-27_final
2021-07-29 08:28:10	ga_ls7e_ard_3-2-0_091084_2021-07-28_final
2021-07-31 09:48:07	ga_ls7e_ard_3-2-0_105068_2021-07-31_final
2021-08-07 08:23:11	ga_ls7e_ard_3-2-0_090089_2021-08-06_final
2021-08-12 10:12:34	ga_ls7e_ard_3-2-0_109070_2021-08-12_final
2021-08-31 09:01:45	ga_ls7e_ard_3-2-0_098067_2021-08-30_final
2021-09-29 10:10:20	ga_ls7e_ard_3-2-0_109075_2021-09-29_final
2021-10-01 08:23:19	ga_ls7e_ard_3-2-0_091086_2021-09-30_final
2021-10-04 10:28:03	ga_ls7e_ard_3-2-0_112074_2021-10-04_final
2021-10-18 08:58:41	ga_ls7e_ard_3-2-0_098070_2021-10-17_final
2021-10-22 08:39:36	ga_ls7e_ard_3-2-0_094085_2021-10-21_final
2021-10-23 09:17:10	ga_ls7e_ard_3-2-0_101071_2021-10-22_final
2021-11-10 10:43:12	ga_ls7e_ard_3-2-0_115074_2021-11-10_final
2021-11-11 09:45:05	ga_ls7e_ard_3-2-0_106068_2021-11-11_final
2021-11-20 08:03:09	ga_ls7e_ard_3-2-1_089078_2021-11-19_final
2021-11-22 09:27:04	ga_ls7e_ard_3-2-1_103072_2021-11-21_final
2021-11-26 09:05:10	ga_ls7e_ard_3-2-1_099080_2021-11-25_final
2021-11-27 08:13:27	ga_ls7e_ard_3-2-1_090090_2021-11-26_final
2021-12-16 10:15:26	ga_ls7e_ard_3-2-1_111075_2021-12-16_final
2022-01-15 08:44:00	ga_ls7e_ard_3-2-1_097070_2022-01-14_final
2022-01-15 10:28:04	ga_ls7e_ard_3-2-1_113083_2022-01-15_final
2022-01-23 09:35:28	ga_ls7e_ard_3-2-1_105077_2022-01-23_final
2022-02-07 08:47:31	ga_ls7e_ard_3-2-1_098069_2022-02-06_final
2022-02-10 09:22:53	ga_ls7e_ard_3-2-1_103081_2022-02-09_final
2022-02-11 08:23:58	ga_ls7e_ard_3-2-1_094073_2022-02-10_final
2022-02-13 09:51:05	ga_ls7e_ard_3-2-1_108075_2022-02-13_final
2022-02-20 09:56:34	ga_ls7e_ard_3-2-1_109075_2022-02-20_final
2022-02-23 08:47:07	ga_ls7e_ard_3-2-1_098072_2022-02-22_final
2022-03-03 09:36:59	ga_ls7e_ard_3-2-1_106075_2022-03-03_final
2022-03-10 08:08:23	ga_ls7e_ard_3-2-1_091087_2022-03-09_final
2022-03-19 08:00:53	ga_ls7e_ard_3-2-1_090086_2022-03-18_final
2022-03-27 10:24:28	ga_ls7e_ard_3-2-1_114076_2022-03-27_final
2022-03-30 09:14:36	ga_ls7e_ard_3-2-1_103072_2022-03-29_final
2022-04-04 07:55:46	ga_ls7e_ard_3-2-1_090077_2022-04-03_final
2022-04-04 07:56:34	ga_ls7e_ard_3-2-1_090079_2022-04-03_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