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
2003-12-31 09:40:54	ga_ls7e_ard_3-0-0_095086_2003-12-31_final
2007-03-13 09:42:55	ga_ls7e_ard_3-0-0_095087_2007-03-13_final
2007-05-16 09:42:45	ga_ls7e_ard_3-0-0_095087_2007-05-16_final
2007-07-03 09:42:38	ga_ls7e_ard_3-0-0_095087_2007-07-03_final
2008-05-02 09:42:03	ga_ls7e_ard_3-0-0_095086_2008-05-02_final
2008-10-25 09:41:14	ga_ls7e_ard_3-0-0_095087_2008-10-25_final
2010-07-11 09:44:36	ga_ls7e_ard_3-0-0_095087_2010-07-11_final
2011-07-14 09:45:31	ga_ls7e_ard_3-0-0_095086_2011-07-14_final
2012-09-02 09:47:18	ga_ls7e_ard_3-0-0_095086_2012-09-02_final
2014-10-10 09:49:56	ga_ls7e_ard_3-0-0_095086_2014-10-10_final
2021-01-29 10:00:07	ga_ls7e_ard_3-2-0_104076_2021-01-29_final
2021-01-30 10:46:30	ga_ls7e_ard_3-2-0_111084_2021-01-30_final
2021-03-14 10:19:29	ga_ls7e_ard_3-2-0_108071_2021-03-14_final
2021-03-24 09:17:41	ga_ls7e_ard_3-2-0_098073_2021-03-23_final
2021-03-25 10:03:40	ga_ls7e_ard_3-2-0_105080_2021-03-25_final
2021-03-30 08:43:43	ga_ls7e_ard_3-2-0_092082_2021-03-29_final
2021-03-31 11:04:34	ga_ls7e_ard_3-2-0_115079_2021-03-31_final
2021-04-10 08:22:16	ga_ls7e_ard_3-2-0_089077_2021-04-09_final
2021-04-23 09:31:33	ga_ls7e_ard_3-2-0_100083_2021-04-23_final
2021-04-29 10:32:02	ga_ls7e_ard_3-2-0_110081_2021-04-29_final
2021-05-01 08:43:50	ga_ls7e_ard_3-2-0_092089_2021-04-30_final
2021-05-02 09:23:01	ga_ls7e_ard_3-2-0_099079_2021-05-01_final
2021-05-04 09:06:54	ga_ls7e_ard_3-2-0_097070_2021-05-03_final
2021-05-04 10:44:35	ga_ls7e_ard_3-2-0_113067_2021-05-04_final
2021-05-05 09:54:28	ga_ls7e_ard_3-2-0_104081_2021-05-05_final
2021-05-19 10:01:15	ga_ls7e_ard_3-2-0_106070_2021-05-19_final
2021-05-25 09:28:27	ga_ls7e_ard_3-2-0_100082_2021-05-24_final
2021-06-02 10:12:24	ga_ls7e_ard_3-2-0_108070_2021-06-02_final
2021-06-20 09:58:11	ga_ls7e_ard_3-2-0_106069_2021-06-20_final
2021-06-20 10:00:11	ga_ls7e_ard_3-2-0_106074_2021-06-20_final
2021-06-21 10:44:33	ga_ls7e_ard_3-2-0_113077_2021-06-21_final
2021-06-30 09:00:21	ga_ls7e_ard_3-2-0_096081_2021-06-29_final
2021-07-04 10:09:47	ga_ls7e_ard_3-2-0_108070_2021-07-04_final
2021-07-04 10:12:10	ga_ls7e_ard_3-2-0_108076_2021-07-04_final
2021-07-05 09:14:05	ga_ls7e_ard_3-2-0_099070_2021-07-04_final
2021-07-06 08:24:22	ga_ls7e_ard_3-2-0_090085_2021-07-05_final
2021-07-06 09:58:51	ga_ls7e_ard_3-2-0_106074_2021-07-06_final
2021-07-10 09:31:48	ga_ls7e_ard_3-2-0_102069_2021-07-10_final
2021-07-11 10:16:34	ga_ls7e_ard_3-2-0_109073_2021-07-11_final
2021-07-13 10:03:14	ga_ls7e_ard_3-2-0_107071_2021-07-13_final
2021-07-18 08:47:39	ga_ls7e_ard_3-2-0_094084_2021-07-17_final
2021-07-26 09:35:36	ga_ls7e_ard_3-2-0_102082_2021-07-26_final
2021-07-27 10:18:46	ga_ls7e_ard_3-2-0_109082_2021-07-27_final
2021-07-30 09:06:09	ga_ls7e_ard_3-2-0_098071_2021-07-29_final
2021-08-03 08:41:52	ga_ls7e_ard_3-2-0_094073_2021-08-02_final
2021-08-03 10:24:20	ga_ls7e_ard_3-2-0_110082_2021-08-03_final
2021-08-12 10:12:58	ga_ls7e_ard_3-2-0_109071_2021-08-12_final
2021-08-15 10:42:00	ga_ls7e_ard_3-2-0_114067_2021-08-15_final
2021-08-15 10:45:12	ga_ls7e_ard_3-2-0_114075_2021-08-15_final
2021-08-21 10:06:48	ga_ls7e_ard_3-2-0_108073_2021-08-21_final
2021-08-26 10:29:18	ga_ls7e_ard_3-2-0_111084_2021-08-26_final
2021-08-31 09:01:45	ga_ls7e_ard_3-2-0_098067_2021-08-30_final
2021-09-08 09:52:53	ga_ls7e_ard_3-2-0_106073_2021-09-08_final
2021-09-11 08:49:25	ga_ls7e_ard_3-2-0_095085_2021-09-10_final
2021-09-17 08:09:49	ga_ls7e_ard_3-2-0_089080_2021-09-16_final
2021-09-22 08:25:55	ga_ls7e_ard_3-2-0_092075_2021-09-21_final
2021-09-24 09:51:27	ga_ls7e_ard_3-2-0_106073_2021-09-24_final
2021-09-28 09:26:46	ga_ls7e_ard_3-2-0_102074_2021-09-27_final
2021-09-30 09:15:02	ga_ls7e_ard_3-2-0_100076_2021-09-29_final
2021-10-02 08:58:54	ga_ls7e_ard_3-2-0_098067_2021-10-01_final
2021-10-17 08:22:18	ga_ls7e_ard_3-2-0_091087_2021-10-16_final
2021-10-18 10:41:33	ga_ls7e_ard_3-2-0_114080_2021-10-18_final
2021-10-22 08:35:12	ga_ls7e_ard_3-2-0_094074_2021-10-21_final
2021-10-26 09:47:00	ga_ls7e_ard_3-2-0_106069_2021-10-26_final
2021-10-26 09:47:48	ga_ls7e_ard_3-2-0_106071_2021-10-26_final
2021-10-27 08:56:29	ga_ls7e_ard_3-2-0_097082_2021-10-26_final
2021-10-27 08:56:53	ga_ls7e_ard_3-2-0_097083_2021-10-26_final
2021-10-30 09:23:54	ga_ls7e_ard_3-2-0_102074_2021-10-29_final
2021-11-07 10:15:47	ga_ls7e_ard_3-2-0_110082_2021-11-07_final
2021-11-07 10:16:11	ga_ls7e_ard_3-2-0_110083_2021-11-07_final
2021-11-18 08:18:54	ga_ls7e_ard_3-2-1_091086_2021-11-17_final
2021-11-19 10:38:32	ga_ls7e_ard_3-2-1_114080_2021-11-19_final
2021-11-20 09:39:38	ga_ls7e_ard_3-2-1_105072_2021-11-20_final
2021-11-28 08:54:37	ga_ls7e_ard_3-2-1_097085_2021-11-27_final
2021-12-02 08:26:44	ga_ls7e_ard_3-2-1_093078_2021-12-01_final
2021-12-06 09:40:07	ga_ls7e_ard_3-2-1_105077_2021-12-06_final
2021-12-13 08:09:09	ga_ls7e_ard_3-2-1_090083_2021-12-12_final
2021-12-25 08:33:06	ga_ls7e_ard_3-2-1_094084_2021-12-24_final
2021-12-28 10:38:35	ga_ls7e_ard_3-2-1_115074_2021-12-28_final
2021-12-29 09:41:16	ga_ls7e_ard_3-2-1_106070_2021-12-29_final
2022-01-03 08:26:24	ga_ls7e_ard_3-2-1_093085_2022-01-02_final
2022-01-05 08:13:26	ga_ls7e_ard_3-2-1_091084_2022-01-04_final
2022-01-05 08:15:26	ga_ls7e_ard_3-2-1_091089_2022-01-04_final
2022-01-05 09:47:31	ga_ls7e_ard_3-2-1_107072_2022-01-05_final
2022-01-21 08:10:20	ga_ls7e_ard_3-2-1_091080_2022-01-20_final
2022-01-23 09:33:04	ga_ls7e_ard_3-2-1_105071_2022-01-23_final
2022-01-23 09:36:39	ga_ls7e_ard_3-2-1_105080_2022-01-23_final
2022-01-25 09:22:06	ga_ls7e_ard_3-2-1_103075_2022-01-24_final
2022-01-28 09:56:18	ga_ls7e_ard_3-2-1_108084_2022-01-28_final
2022-01-30 09:41:21	ga_ls7e_ard_3-2-1_106078_2022-01-30_final
2022-02-06 08:07:33	ga_ls7e_ard_3-2-1_091077_2022-02-05_final
2022-02-09 08:35:45	ga_ls7e_ard_3-2-1_096071_2022-02-08_final
2022-02-15 09:36:07	ga_ls7e_ard_3-2-1_106069_2022-02-15_final
2022-02-23 10:29:11	ga_ls7e_ard_3-2-1_114080_2022-02-23_final
2022-03-03 08:04:05	ga_ls7e_ard_3-2-1_090090_2022-03-02_final
2022-03-11 10:25:37	ga_ls7e_ard_3-2-1_114075_2022-03-11_final
2022-03-13 08:33:23	ga_ls7e_ard_3-2-1_096073_2022-03-12_final
2022-03-26 09:42:54	ga_ls7e_ard_3-2-1_107080_2022-03-26_final
2022-03-26 09:43:18	ga_ls7e_ard_3-2-1_107081_2022-03-26_final
2022-03-31 08:22:53	ga_ls7e_ard_3-2-1_094082_2022-03-30_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