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
2000-07-03 09:18:06	ga_ls7e_ard_3-0-0_091084_2000-07-02_final
2000-07-03 09:18:30	ga_ls7e_ard_3-0-0_091085_2000-07-02_final
2000-07-03 09:18:54	ga_ls7e_ard_3-1-0_091086_2000-07-02_final
2000-07-03 09:19:18	ga_ls7e_ard_3-0-0_091087_2000-07-02_final
2000-07-03 09:19:42	ga_ls7e_ard_3-0-0_091088_2000-07-02_final
2000-07-03 09:20:06	ga_ls7e_ard_3-0-0_091089_2000-07-02_final
2000-09-17 09:36:57	ga_ls7e_ard_3-0-0_095072_2000-09-17_final
2000-09-17 09:37:21	ga_ls7e_ard_3-1-0_095073_2000-09-17_final
2000-09-19 09:26:07	ga_ls7e_ard_3-0-0_093076_2000-09-18_final
2000-09-19 09:26:31	ga_ls7e_ard_3-0-0_093077_2000-09-18_final
2000-09-19 09:26:55	ga_ls7e_ard_3-0-0_093078_2000-09-18_final
2000-09-19 09:27:19	ga_ls7e_ard_3-0-0_093079_2000-09-18_final
2000-09-19 09:27:43	ga_ls7e_ard_3-0-0_093080_2000-09-18_final
2002-02-22 09:19:55	ga_ls7e_ard_3-0-0_092080_2002-02-21_final
2002-02-22 09:20:19	ga_ls7e_ard_3-0-0_092081_2002-02-21_final
2002-02-22 09:20:43	ga_ls7e_ard_3-0-0_092082_2002-02-21_final
2002-02-22 09:21:07	ga_ls7e_ard_3-0-0_092083_2002-02-21_final
2002-02-22 09:21:31	ga_ls7e_ard_3-0-0_092084_2002-02-21_final
2002-02-22 09:21:55	ga_ls7e_ard_3-0-0_092085_2002-02-21_final
2002-02-22 09:22:19	ga_ls7e_ard_3-0-0_092086_2002-02-21_final
2002-02-24 09:10:48	ga_ls7e_ard_3-0-0_090088_2002-02-23_final
2002-02-24 09:11:12	ga_ls7e_ard_3-0-0_090089_2002-02-23_final
2002-02-24 09:11:36	ga_ls7e_ard_3-0-0_090090_2002-02-23_final
2002-02-27 09:33:22	ga_ls7e_ard_3-0-0_095067_2002-02-27_final
2002-05-02 09:33:15	ga_ls7e_ard_3-0-0_095067_2002-05-02_final
2002-05-02 09:35:39	ga_ls7e_ard_3-1-0_095073_2002-05-02_final
2007-09-18 09:11:41	ga_ls7e_ard_3-0-0_090088_2007-09-17_final
2007-09-18 09:12:05	ga_ls7e_ard_3-0-0_090089_2007-09-17_final
2007-09-18 09:12:29	ga_ls7e_ard_3-0-0_090090_2007-09-17_final
2007-09-21 09:36:11	ga_ls7e_ard_3-0-0_095072_2007-09-21_final
2007-09-21 09:36:35	ga_ls7e_ard_3-1-0_095073_2007-09-21_final
2007-12-10 09:36:41	ga_ls7e_ard_3-0-0_095072_2007-12-10_final
2007-12-10 09:37:05	ga_ls7e_ard_3-1-0_095073_2007-12-10_final
2007-12-12 09:25:56	ga_ls7e_ard_3-0-0_093076_2007-12-11_final
2007-12-12 09:26:20	ga_ls7e_ard_3-0-0_093077_2007-12-11_final
2007-12-12 09:26:44	ga_ls7e_ard_3-0-0_093078_2007-12-11_final
2007-12-12 09:27:08	ga_ls7e_ard_3-0-0_093079_2007-12-11_final
2007-12-12 09:27:32	ga_ls7e_ard_3-0-0_093080_2007-12-11_final
2007-12-12 09:27:56	ga_ls7e_ard_3-0-0_093081_2007-12-11_final
2007-12-12 09:28:19	ga_ls7e_ard_3-0-0_093082_2007-12-11_final
2007-12-14 09:16:46	ga_ls7e_ard_3-0-0_091084_2007-12-13_final
2007-12-14 09:17:10	ga_ls7e_ard_3-0-0_091085_2007-12-13_final
2007-12-14 09:17:34	ga_ls7e_ard_3-1-0_091086_2007-12-13_final
2007-12-14 09:17:58	ga_ls7e_ard_3-0-0_091087_2007-12-13_final
2007-12-14 09:18:22	ga_ls7e_ard_3-0-0_091088_2007-12-13_final
2007-12-14 09:18:46	ga_ls7e_ard_3-0-0_091089_2007-12-13_final
2008-01-04 09:31:22	ga_ls7e_ard_3-0-0_094074_2008-01-04_final
2008-01-04 09:31:46	ga_ls7e_ard_3-0-0_094075_2008-01-04_final
2008-01-04 09:32:10	ga_ls7e_ard_3-0-0_094076_2008-01-04_final
2008-01-04 09:32:34	ga_ls7e_ard_3-0-0_094077_2008-01-04_final
2017-11-30 09:33:57	ga_ls7e_ard_3-0-0_092081_2017-11-30_final
2017-11-30 09:34:45	ga_ls7e_ard_3-0-0_092083_2017-11-30_final
2017-11-30 09:35:09	ga_ls7e_ard_3-0-0_092084_2017-11-30_final
2017-11-30 09:35:33	ga_ls7e_ard_3-0-0_092085_2017-11-30_final
2017-11-30 09:35:57	ga_ls7e_ard_3-0-0_092086_2017-11-30_final
2017-12-09 09:30:30	ga_ls7e_ard_3-0-0_091088_2017-12-09_final
2017-12-09 09:30:54	ga_ls7e_ard_3-0-0_091089_2017-12-09_final
2018-08-11 09:39:16	ga_ls7e_ard_3-0-0_094073_2018-08-11_final
2018-08-11 09:39:40	ga_ls7e_ard_3-0-0_094074_2018-08-11_final
2018-08-11 09:40:04	ga_ls7e_ard_3-0-0_094075_2018-08-11_final
2018-08-11 09:40:28	ga_ls7e_ard_3-0-0_094076_2018-08-11_final
2018-08-11 09:40:52	ga_ls7e_ard_3-0-0_094077_2018-08-11_final
2018-08-11 09:41:16	ga_ls7e_ard_3-0-0_094078_2018-08-11_final
2018-08-13 09:29:40	ga_ls7e_ard_3-0-0_092080_2018-08-12_final
2018-08-13 09:30:28	ga_ls7e_ard_3-0-0_092082_2018-08-13_final
2018-08-13 09:30:52	ga_ls7e_ard_3-0-0_092083_2018-08-13_final
2019-06-11 09:30:23	ga_ls7e_ard_3-0-0_094073_2019-06-11_final
2019-06-11 09:30:47	ga_ls7e_ard_3-0-0_094074_2019-06-11_final
2019-06-11 09:31:11	ga_ls7e_ard_3-0-0_094075_2019-06-11_final
2019-06-11 09:31:35	ga_ls7e_ard_3-0-0_094076_2019-06-11_final
2019-06-11 09:31:59	ga_ls7e_ard_3-0-0_094077_2019-06-11_final
2019-06-11 09:32:23	ga_ls7e_ard_3-0-0_094078_2019-06-11_final
2019-06-13 09:20:45	ga_ls7e_ard_3-0-0_092080_2019-06-12_final
2019-06-13 09:22:21	ga_ls7e_ard_3-0-0_092084_2019-06-12_final
2019-06-13 09:22:45	ga_ls7e_ard_3-0-0_092085_2019-06-12_final
2019-06-13 09:23:09	ga_ls7e_ard_3-0-0_092086_2019-06-12_final
2019-08-18 09:08:59	ga_ls7e_ard_3-0-0_090088_2019-08-17_final
2019-08-18 09:09:23	ga_ls7e_ard_3-0-0_090089_2019-08-17_final
2019-08-18 09:09:47	ga_ls7e_ard_3-0-0_090090_2019-08-17_final
2019-08-21 09:31:23	ga_ls7e_ard_3-0-0_095067_2019-08-21_final
2019-08-21 09:33:22	ga_ls7e_ard_3-0-0_095072_2019-08-21_final
2019-08-21 09:33:46	ga_ls7e_ard_3-1-0_095073_2019-08-21_final
2019-09-06 09:30:41	ga_ls7e_ard_3-1-0_095067_2019-09-06_final
2019-09-06 09:32:41	ga_ls7e_ard_3-1-0_095072_2019-09-06_final
2019-09-06 09:33:05	ga_ls7e_ard_3-1-0_095073_2019-09-06_final
2019-10-08 09:31:19	ga_ls7e_ard_3-1-0_095072_2019-10-08_final
2019-10-08 09:31:43	ga_ls7e_ard_3-1-0_095073_2019-10-08_final
2019-10-10 09:20:28	ga_ls7e_ard_3-1-0_093076_2019-10-09_final
2019-10-10 09:20:52	ga_ls7e_ard_3-1-0_093077_2019-10-09_final
2019-10-10 09:21:16	ga_ls7e_ard_3-1-0_093078_2019-10-09_final
2019-10-10 09:21:40	ga_ls7e_ard_3-1-0_093079_2019-10-09_final
2019-10-10 09:22:04	ga_ls7e_ard_3-1-0_093080_2019-10-09_final
2019-10-10 09:22:27	ga_ls7e_ard_3-1-0_093081_2019-10-09_final
2019-10-10 09:22:51	ga_ls7e_ard_3-1-0_093082_2019-10-09_final
2020-01-14 09:15:53	ga_ls7e_ard_3-1-0_093076_2020-01-13_final
2020-01-14 09:16:17	ga_ls7e_ard_3-1-0_093077_2020-01-13_final
2020-01-14 09:16:41	ga_ls7e_ard_3-1-0_093078_2020-01-13_final
2020-01-14 09:17:05	ga_ls7e_ard_3-1-0_093079_2020-01-13_final
2020-01-14 09:17:29	ga_ls7e_ard_3-1-0_093080_2020-01-13_final
2020-01-14 09:17:52	ga_ls7e_ard_3-1-0_093081_2020-01-13_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