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
1999-09-12 09:15:09	ga_ls7e_ard_3-0-0_090089_1999-09-11_final
2000-02-12 09:08:50	ga_ls7e_ard_3-0-0_089089_2000-02-11_final
2000-04-16 09:08:24	ga_ls7e_ard_3-1-0_089089_2000-04-15_final
2006-04-17 09:06:06	ga_ls7e_ard_3-1-0_089089_2006-04-16_final
2006-05-03 09:06:09	ga_ls7e_ard_3-0-0_089089_2006-05-02_final
2006-05-10 09:12:21	ga_ls7e_ard_3-0-0_090089_2006-05-09_final
2006-07-06 09:05:58	ga_ls7e_ard_3-1-0_089089_2006-07-05_final
2006-07-11 09:24:28	ga_ls7e_ard_3-1-0_092089_2006-07-10_final
2006-07-13 09:12:06	ga_ls7e_ard_3-0-0_090089_2006-07-12_final
2006-08-30 09:11:55	ga_ls7e_ard_3-0-0_090089_2006-08-29_final
2006-09-13 09:24:12	ga_ls7e_ard_3-0-0_092089_2006-09-12_final
2006-09-15 09:11:26	ga_ls7e_ard_3-1-0_090088_2006-09-14_final
2006-09-15 09:11:50	ga_ls7e_ard_3-0-0_090089_2006-09-14_final
2006-10-01 09:11:42	ga_ls7e_ard_3-0-0_090089_2006-09-30_final
2006-10-24 09:18:05	ga_ls7e_ard_3-0-0_091089_2006-10-23_final
2006-10-26 09:05:46	ga_ls7e_ard_3-1-0_089089_2006-10-25_final
2006-10-31 09:24:23	ga_ls7e_ard_3-0-0_092089_2006-10-30_final
2006-11-16 09:24:35	ga_ls7e_ard_3-0-0_092089_2006-11-15_final
2006-12-04 09:12:24	ga_ls7e_ard_3-0-0_090089_2006-12-03_final
2007-02-06 09:12:40	ga_ls7e_ard_3-0-0_090089_2007-02-05_final
2007-03-03 09:06:36	ga_ls7e_ard_3-1-0_089089_2007-03-02_final
2007-03-15 09:30:57	ga_ls7e_ard_3-0-0_093088_2007-03-15_final
2007-03-17 09:19:00	ga_ls7e_ard_3-0-0_091089_2007-03-16_final
2007-04-11 09:12:48	ga_ls7e_ard_3-0-0_090089_2007-04-10_final
2007-05-29 09:12:33	ga_ls7e_ard_3-0-0_090089_2007-05-28_final
2007-06-05 09:18:44	ga_ls7e_ard_3-0-0_091089_2007-06-04_final
2007-06-07 09:06:22	ga_ls7e_ard_3-0-0_089089_2007-06-06_final
2007-06-14 09:12:33	ga_ls7e_ard_3-0-0_090089_2007-06-13_final
2007-06-23 09:06:22	ga_ls7e_ard_3-0-0_089089_2007-06-22_final
2007-06-28 09:24:54	ga_ls7e_ard_3-0-0_092089_2007-06-27_final
2007-07-23 09:18:38	ga_ls7e_ard_3-0-0_091089_2007-07-22_final
2007-08-31 09:24:34	ga_ls7e_ard_3-0-0_092089_2007-08-30_final
2007-09-02 09:12:12	ga_ls7e_ard_3-0-0_090089_2007-09-01_final
2007-09-09 09:18:19	ga_ls7e_ard_3-0-0_091089_2007-09-08_final
2007-10-27 09:18:24	ga_ls7e_ard_3-0-0_091089_2007-10-26_final
2007-12-16 09:06:25	ga_ls7e_ard_3-1-0_089089_2007-12-15_final
2008-03-21 09:06:15	ga_ls7e_ard_3-1-0_089089_2008-03-20_final
2017-01-16 09:24:25	ga_ls7e_ard_3-0-0_090089_2017-01-15_final
2017-01-23 09:30:31	ga_ls7e_ard_3-0-0_091089_2017-01-23_final
2017-02-01 09:24:17	ga_ls7e_ard_3-0-0_090089_2017-01-31_final
2017-02-15 09:36:36	ga_ls7e_ard_3-0-0_092089_2017-02-15_final
2017-02-17 09:24:15	ga_ls7e_ard_3-0-0_090089_2017-02-16_final
2017-02-24 09:30:30	ga_ls7e_ard_3-0-0_091089_2017-02-24_final
2017-03-03 09:36:45	ga_ls7e_ard_3-0-0_092089_2017-03-03_final
2017-03-05 09:24:24	ga_ls7e_ard_3-0-0_090089_2017-03-04_final
2017-03-19 09:36:50	ga_ls7e_ard_3-0-0_092089_2017-03-19_final
2017-03-21 09:24:29	ga_ls7e_ard_3-0-0_090089_2017-03-20_final
2017-03-28 09:30:42	ga_ls7e_ard_3-0-0_091089_2017-03-28_final
2017-04-04 09:36:54	ga_ls7e_ard_3-0-0_092089_2017-04-04_final
2017-04-06 09:24:33	ga_ls7e_ard_3-0-0_090089_2017-04-05_final
2017-04-20 09:37:02	ga_ls7e_ard_3-0-0_092089_2017-04-20_final
2017-04-29 09:30:54	ga_ls7e_ard_3-0-0_091089_2017-04-29_final
2017-05-08 09:24:45	ga_ls7e_ard_3-0-0_090089_2017-05-07_final
2017-05-15 09:30:33	ga_ls7e_ard_3-0-0_091088_2017-05-15_final
2017-05-15 09:30:57	ga_ls7e_ard_3-0-0_091089_2017-05-15_final
2017-05-22 09:37:09	ga_ls7e_ard_3-0-0_092089_2017-05-22_final
2017-05-24 09:24:48	ga_ls7e_ard_3-0-0_090089_2017-05-23_final
2017-06-07 09:37:14	ga_ls7e_ard_3-0-0_092089_2017-06-07_final
2017-06-16 09:30:41	ga_ls7e_ard_3-0-0_091088_2017-06-16_final
2017-06-16 09:31:05	ga_ls7e_ard_3-0-0_091089_2017-06-16_final
2017-06-25 09:24:56	ga_ls7e_ard_3-0-0_090089_2017-06-24_final
2017-07-02 09:30:43	ga_ls7e_ard_3-0-0_091088_2017-07-02_final
2017-07-09 09:37:18	ga_ls7e_ard_3-0-0_092089_2017-07-09_final
2017-07-11 09:24:57	ga_ls7e_ard_3-0-0_090089_2017-07-10_final
2017-07-27 09:24:56	ga_ls7e_ard_3-0-0_090089_2017-07-26_final
2017-08-03 09:30:42	ga_ls7e_ard_3-0-0_091088_2017-08-03_final
2017-08-03 09:31:06	ga_ls7e_ard_3-0-0_091089_2017-08-03_final
2017-08-10 09:37:16	ga_ls7e_ard_3-0-0_092089_2017-08-10_final
2017-08-12 09:24:54	ga_ls7e_ard_3-0-0_090089_2017-08-11_final
2017-08-19 09:30:41	ga_ls7e_ard_3-0-0_091088_2017-08-19_final
2017-08-19 09:31:04	ga_ls7e_ard_3-0-0_091089_2017-08-19_final
2017-08-28 09:24:54	ga_ls7e_ard_3-0-0_090089_2017-08-27_final
2017-09-04 09:31:05	ga_ls7e_ard_3-0-0_091089_2017-09-04_final
2017-09-20 09:31:02	ga_ls7e_ard_3-0-0_091089_2017-09-20_final
2017-09-29 09:24:53	ga_ls7e_ard_3-0-0_090089_2017-09-28_final
2017-10-06 09:31:04	ga_ls7e_ard_3-0-0_091089_2017-10-06_final
2017-10-15 09:24:55	ga_ls7e_ard_3-0-0_090089_2017-10-14_final
2019-10-19 09:18:42	ga_ls7e_ard_3-1-0_092088_2019-10-18_final
2019-10-28 09:12:07	ga_ls7e_ard_3-1-0_091088_2019-10-27_final
2019-10-28 09:12:31	ga_ls7e_ard_3-1-0_091089_2019-10-27_final
2019-11-20 09:17:39	ga_ls7e_ard_3-1-0_092089_2019-11-19_final
2019-11-29 09:10:38	ga_ls7e_ard_3-1-0_091088_2019-11-28_final
2019-11-29 09:11:02	ga_ls7e_ard_3-1-0_091089_2019-11-28_final
2019-12-22 09:15:40	ga_ls7e_ard_3-1-0_092088_2019-12-21_final
2019-12-22 09:16:04	ga_ls7e_ard_3-1-0_092089_2019-12-21_final
2019-12-24 09:03:12	ga_ls7e_ard_3-1-0_090088_2019-12-23_final
2019-12-24 09:03:36	ga_ls7e_ard_3-1-0_090089_2019-12-23_final
2020-02-08 09:13:14	ga_ls7e_ard_3-1-0_092088_2020-02-07_final
2020-02-08 09:13:38	ga_ls7e_ard_3-1-0_092089_2020-02-07_final
2020-03-04 09:05:45	ga_ls7e_ard_3-1-0_091088_2020-03-03_final
2020-03-04 09:06:09	ga_ls7e_ard_3-1-0_091089_2020-03-03_final
2020-03-20 09:04:52	ga_ls7e_ard_3-1-0_091088_2020-03-19_final
2020-03-20 09:05:16	ga_ls7e_ard_3-1-0_091089_2020-03-19_final
2020-03-29 08:58:11	ga_ls7e_ard_3-1-0_090088_2020-03-28_final
2020-03-29 08:58:35	ga_ls7e_ard_3-1-0_090089_2020-03-28_final
2020-04-21 09:03:02	ga_ls7e_ard_3-1-0_091088_2020-04-20_final
2020-04-21 09:03:26	ga_ls7e_ard_3-1-0_091089_2020-04-20_final
2020-04-28 09:08:48	ga_ls7e_ard_3-1-0_092088_2020-04-27_final
2020-07-01 09:04:59	ga_ls7e_ard_3-1-0_092088_2020-06-30_final
2020-07-01 09:05:23	ga_ls7e_ard_3-1-0_092089_2020-06-30_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