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
1999-08-10 11:45:18	ga_ls7e_ard_3-0-0_115078_1999-08-10_final
2000-03-05 11:45:00	ga_ls7e_ard_3-0-0_115078_2000-03-05_final
2000-10-15 11:42:54	ga_ls7e_ard_3-0-0_115079_2000-10-15_final
2002-04-12 11:41:13	ga_ls7e_ard_3-0-0_115078_2002-04-12_final
2002-09-19 11:40:34	ga_ls7e_ard_3-0-0_115079_2002-09-19_final
2003-12-27 11:41:17	ga_ls7e_ard_3-0-0_115078_2003-12-27_final
2006-08-13 11:42:29	ga_ls7e_ard_3-0-0_115079_2006-08-13_final
2013-01-20 11:48:34	ga_ls7e_ard_3-0-0_115078_2013-01-20_final
2013-12-22 11:48:46	ga_ls7e_ard_3-0-0_115078_2013-12-22_final
2015-01-26 11:51:25	ga_ls7e_ard_3-0-0_115079_2015-01-26_final
2016-12-14 11:54:51	ga_ls7e_ard_3-0-0_115078_2016-12-14_final
2017-07-10 11:55:04	ga_ls7e_ard_3-0-0_115078_2017-07-10_final
2020-11-23 09:36:03	ga_ls7e_ard_3-1-0_099081_2020-11-23_final
2020-11-30 09:38:32	ga_ls7e_ard_3-1-0_100073_2020-11-30_final
2020-12-03 10:07:13	ga_ls7e_ard_3-1-0_105068_2020-12-03_final
2020-12-10 08:38:47	ga_ls7e_ard_3-1-0_090080_2020-12-09_final
2020-12-17 10:19:20	ga_ls7e_ard_3-1-0_107070_2020-12-17_final
2020-12-24 08:50:53	ga_ls7e_ard_3-1-0_092082_2020-12-23_final
2020-12-24 08:51:17	ga_ls7e_ard_3-1-0_092083_2020-12-23_final
2020-12-26 10:16:28	ga_ls7e_ard_3-1-0_106080_2020-12-26_final
2020-12-31 10:31:53	ga_ls7e_ard_3-1-0_109073_2020-12-31_final
2021-01-04 10:04:53	ga_ls7e_ard_3-1-0_105068_2021-01-04_final
2021-01-15 09:45:35	ga_ls7e_ard_3-1-0_102068_2021-01-15_final
2021-01-16 08:52:17	ga_ls7e_ard_3-1-0_093074_2021-01-15_final
2021-01-19 09:24:34	ga_ls7e_ard_3-1-0_098078_2021-01-18_final
2021-01-20 10:09:21	ga_ls7e_ard_3-2-0_105082_2021-01-20_final
2021-01-25 08:47:27	ga_ls7e_ard_3-2-0_092079_2021-01-24_final
2021-01-29 09:57:44	ga_ls7e_ard_3-2-0_104070_2021-01-29_final
2021-02-03 08:40:13	ga_ls7e_ard_3-2-0_091078_2021-02-02_final
2021-02-03 08:43:00	ga_ls7e_ard_3-2-0_091085_2021-02-02_final
2021-02-04 09:21:00	ga_ls7e_ard_3-2-0_098072_2021-02-03_final
2021-02-06 10:48:10	ga_ls7e_ard_3-2-0_112074_2021-02-06_final
2021-02-18 09:37:06	ga_ls7e_ard_3-2-0_100084_2021-02-18_final
2021-02-21 08:29:42	ga_ls7e_ard_3-2-0_089086_2021-02-20_final
2021-02-24 08:55:35	ga_ls7e_ard_3-2-0_094074_2021-02-23_final
2021-02-28 08:32:57	ga_ls7e_ard_3-2-0_090080_2021-02-27_final
2021-02-28 08:33:20	ga_ls7e_ard_3-2-0_090081_2021-02-27_final
2021-03-26 10:41:39	ga_ls7e_ard_3-2-0_112067_2021-03-26_final
2021-04-01 10:10:04	ga_ls7e_ard_3-2-0_106082_2021-04-01_final
2021-04-03 09:56:45	ga_ls7e_ard_3-2-0_104080_2021-04-03_final
2021-04-09 09:20:46	ga_ls7e_ard_3-2-0_098084_2021-04-08_final
2021-04-15 08:42:47	ga_ls7e_ard_3-2-0_092083_2021-04-14_final
2021-04-18 10:45:56	ga_ls7e_ard_3-2-0_113067_2021-04-18_final
2021-04-21 09:40:29	ga_ls7e_ard_3-2-0_102074_2021-04-21_final
2021-05-01 08:40:14	ga_ls7e_ard_3-2-0_092080_2021-04-30_final
2021-05-06 09:00:45	ga_ls7e_ard_3-2-0_095086_2021-05-05_final
2021-05-06 10:32:27	ga_ls7e_ard_3-2-0_111068_2021-05-06_final
2021-05-22 10:31:06	ga_ls7e_ard_3-2-0_111068_2021-05-22_final
2021-05-24 08:46:52	ga_ls7e_ard_3-2-0_093086_2021-05-23_final
2021-05-26 08:32:45	ga_ls7e_ard_3-2-0_091082_2021-05-25_final
2021-05-28 08:21:25	ga_ls7e_ard_3-2-0_089085_2021-05-27_final
2021-06-11 10:05:30	ga_ls7e_ard_3-2-0_107070_2021-06-11_final
2021-06-13 08:20:29	ga_ls7e_ard_3-2-0_089086_2021-06-12_final
2021-06-13 09:56:34	ga_ls7e_ard_3-2-0_105079_2021-06-13_final
2021-06-17 09:32:43	ga_ls7e_ard_3-2-0_101082_2021-06-17_final
2021-06-18 10:16:18	ga_ls7e_ard_3-2-0_108083_2021-06-18_final
2021-06-19 09:18:12	ga_ls7e_ard_3-2-0_099077_2021-06-18_final
2021-07-02 10:23:54	ga_ls7e_ard_3-2-0_110074_2021-07-02_final
2021-08-11 09:33:47	ga_ls7e_ard_3-2-0_102081_2021-08-11_final
2021-08-19 10:18:08	ga_ls7e_ard_3-2-0_110070_2021-08-19_final
2021-08-22 09:10:18	ga_ls7e_ard_3-2-0_099071_2021-08-21_final
2021-08-30 10:03:26	ga_ls7e_ard_3-2-0_107082_2021-08-30_final
2021-09-06 08:30:32	ga_ls7e_ard_3-2-0_092083_2021-09-05_final
2021-09-16 09:07:07	ga_ls7e_ard_3-2-0_098084_2021-09-15_final
2021-09-23 09:07:05	ga_ls7e_ard_3-2-0_099070_2021-09-22_final
2021-10-02 08:58:54	ga_ls7e_ard_3-2-0_098067_2021-10-01_final
2021-10-03 09:45:40	ga_ls7e_ard_3-2-0_105076_2021-10-03_final
2021-10-04 10:32:02	ga_ls7e_ard_3-2-0_112084_2021-10-04_final
2021-10-09 09:06:04	ga_ls7e_ard_3-2-0_099071_2021-10-08_final
2021-10-10 08:15:57	ga_ls7e_ard_3-2-0_090085_2021-10-09_final
2021-10-10 09:50:26	ga_ls7e_ard_3-2-0_106074_2021-10-10_final
2021-10-14 09:28:09	ga_ls7e_ard_3-2-0_102081_2021-10-13_final
2021-10-19 08:06:10	ga_ls7e_ard_3-2-0_089078_2021-10-18_final
2021-10-20 08:46:09	ga_ls7e_ard_3-2-0_096070_2021-10-19_final
2021-10-25 09:03:50	ga_ls7e_ard_3-2-0_099069_2021-10-24_final
2021-10-27 10:29:22	ga_ls7e_ard_3-2-0_113067_2021-10-27_final
2021-11-01 09:10:58	ga_ls7e_ard_3-2-0_100073_2021-10-31_final
2021-11-01 09:14:33	ga_ls7e_ard_3-2-0_100082_2021-10-31_final
2021-11-07 08:36:06	ga_ls7e_ard_3-2-0_094080_2021-11-06_final
2021-11-19 10:38:56	ga_ls7e_ard_3-2-1_114081_2021-11-19_final
2021-11-24 09:15:43	ga_ls7e_ard_3-2-1_101075_2021-11-23_final
2021-11-25 10:01:40	ga_ls7e_ard_3-2-1_108082_2021-11-25_final
2021-11-29 09:35:47	ga_ls7e_ard_3-2-1_104080_2021-11-29_final
2021-11-30 10:20:09	ga_ls7e_ard_3-2-1_111083_2021-11-30_final
2021-12-03 09:07:54	ga_ls7e_ard_3-2-1_100073_2021-12-02_final
2021-12-07 08:42:00	ga_ls7e_ard_3-2-1_096071_2021-12-06_final
2021-12-11 08:19:18	ga_ls7e_ard_3-2-1_092077_2021-12-10_final
2021-12-14 08:47:07	ga_ls7e_ard_3-2-1_097070_2021-12-13_final
2021-12-17 09:16:56	ga_ls7e_ard_3-2-1_102068_2021-12-16_final
2021-12-29 08:08:22	ga_ls7e_ard_3-2-1_090085_2021-12-28_final
2022-01-12 09:57:03	ga_ls7e_ard_3-2-1_108082_2022-01-12_final
2022-01-18 09:13:49	ga_ls7e_ard_3-2-1_102068_2022-01-17_final
2022-01-30 08:02:05	ga_ls7e_ard_3-2-1_090077_2022-01-29_final
2022-02-10 09:23:17	ga_ls7e_ard_3-2-1_103082_2022-02-09_final
2022-02-17 09:27:57	ga_ls7e_ard_3-2-1_104080_2022-02-16_final
2022-02-18 08:29:51	ga_ls7e_ard_3-2-1_095074_2022-02-17_final
2022-02-24 09:32:16	ga_ls7e_ard_3-2-1_105077_2022-02-24_final
2022-02-26 09:16:08	ga_ls7e_ard_3-2-1_103068_2022-02-25_final
2022-02-27 08:27:36	ga_ls7e_ard_3-2-1_094086_2022-02-26_final
2022-03-08 09:55:25	ga_ls7e_ard_3-2-1_109076_2022-03-08_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