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
2013-01-19 09:30:01	ga_ls7e_ard_3-1-0_092087_2013-01-19_final
2013-03-01 09:23:49	ga_ls7e_ard_3-0-0_091087_2013-02-28_final
2013-03-03 09:11:03	ga_ls7e_ard_3-0-0_089086_2013-03-02_final
2013-03-06 09:41:57	ga_ls7e_ard_3-0-0_094086_2013-03-06_final
2013-03-06 09:42:21	ga_ls7e_ard_3-0-0_094087_2013-03-06_final
2013-03-08 09:29:36	ga_ls7e_ard_3-0-0_092086_2013-03-07_final
2013-03-08 09:30:00	ga_ls7e_ard_3-1-0_092087_2013-03-08_final
2013-04-18 09:23:14	ga_ls7e_ard_3-1-0_091086_2013-04-17_final
2013-04-18 09:23:38	ga_ls7e_ard_3-0-0_091087_2013-04-17_final
2013-05-20 09:23:08	ga_ls7e_ard_3-1-0_091086_2013-05-19_final
2015-01-05 09:56:43	ga_ls7e_ard_3-1-0_096086_2015-01-05_final
2015-01-07 09:44:46	ga_ls7e_ard_3-0-0_094087_2015-01-07_final
2015-01-30 09:51:03	ga_ls7e_ard_3-0-0_095087_2015-01-30_final
2015-03-10 09:57:03	ga_ls7e_ard_3-1-0_096086_2015-03-10_final
2015-03-14 09:32:23	ga_ls7e_ard_3-0-0_092086_2015-03-14_final
2015-03-14 09:32:47	ga_ls7e_ard_3-0-0_092087_2015-03-14_final
2015-03-19 09:51:00	ga_ls7e_ard_3-0-0_095086_2015-03-19_final
2015-03-21 09:39:03	ga_ls7e_ard_3-0-0_093087_2015-03-21_final
2015-04-13 09:45:01	ga_ls7e_ard_3-0-0_094086_2015-04-13_final
2015-04-13 09:45:25	ga_ls7e_ard_3-0-0_094087_2015-04-13_final
2015-04-15 09:33:04	ga_ls7e_ard_3-0-0_092087_2015-04-15_final
2015-06-07 09:51:34	ga_ls7e_ard_3-0-0_095086_2015-06-07_final
2015-06-07 09:51:58	ga_ls7e_ard_3-0-0_095087_2015-06-07_final
2015-06-09 09:39:37	ga_ls7e_ard_3-1-0_093087_2015-06-09_final
2015-07-06 09:20:47	ga_ls7e_ard_3-0-0_090086_2015-07-05_final
2015-07-13 09:27:24	ga_ls7e_ard_3-0-0_091087_2015-07-12_final
2015-07-15 09:14:39	ga_ls7e_ard_3-0-0_089086_2015-07-14_final
2015-11-25 09:34:42	ga_ls7e_ard_3-0-0_092087_2015-11-25_final
2016-01-03 09:41:28	ga_ls7e_ard_3-1-0_093087_2016-01-03_final
2016-03-05 09:53:59	ga_ls7e_ard_3-0-0_095086_2016-03-05_final
2016-03-07 09:42:03	ga_ls7e_ard_3-1-0_093087_2016-03-07_final
2016-03-09 09:29:43	ga_ls7e_ard_3-0-0_091087_2016-03-08_final
2016-06-25 09:54:33	ga_ls7e_ard_3-0-0_095086_2016-06-25_final
2016-09-08 09:36:33	ga_ls7e_ard_3-0-0_092087_2016-09-08_final
2016-12-29 09:36:11	ga_ls7e_ard_3-0-0_092087_2016-12-29_final
2017-01-19 09:54:29	ga_ls7e_ard_3-0-0_095087_2017-01-19_final
2017-09-02 09:42:14	ga_ls7e_ard_3-0-0_093086_2017-09-02_final
2017-09-02 09:42:38	ga_ls7e_ard_3-1-0_093087_2017-09-02_final
2017-09-04 09:30:17	ga_ls7e_ard_3-0-0_091087_2017-09-04_final
2017-09-13 09:23:41	ga_ls7e_ard_3-0-0_090086_2017-09-12_final
2019-06-11 09:35:35	ga_ls7e_ard_3-0-0_094086_2019-06-11_final
2019-06-11 09:35:58	ga_ls7e_ard_3-0-0_094087_2019-06-11_final
2019-06-13 09:23:09	ga_ls7e_ard_3-0-0_092086_2019-06-12_final
2019-06-13 09:23:33	ga_ls7e_ard_3-0-0_092087_2019-06-12_final
2019-07-04 09:40:54	ga_ls7e_ard_3-0-0_095086_2019-07-04_final
2019-07-04 09:41:18	ga_ls7e_ard_3-0-0_095087_2019-07-04_final
2019-07-06 09:28:28	ga_ls7e_ard_3-0-0_093086_2019-07-05_final
2019-07-06 09:28:52	ga_ls7e_ard_3-1-0_093087_2019-07-05_final
2019-07-10 09:03:35	ga_ls7e_ard_3-0-0_089086_2019-07-09_final
2019-07-13 09:34:22	ga_ls7e_ard_3-0-0_094086_2019-07-13_final
2019-07-13 09:34:46	ga_ls7e_ard_3-0-0_094087_2019-07-13_final
2019-07-15 09:21:56	ga_ls7e_ard_3-0-0_092086_2019-07-14_final
2019-07-15 09:22:20	ga_ls7e_ard_3-0-0_092087_2019-07-14_final
2019-08-14 09:33:04	ga_ls7e_ard_3-0-0_094086_2019-08-14_final
2019-08-14 09:33:28	ga_ls7e_ard_3-0-0_094087_2019-08-14_final
2019-08-16 09:21:02	ga_ls7e_ard_3-0-0_092087_2019-08-15_final
2019-08-23 09:26:31	ga_ls7e_ard_3-0-0_093086_2019-08-22_final
2019-08-23 09:26:55	ga_ls7e_ard_3-1-0_093087_2019-08-22_final
2019-08-25 09:14:04	ga_ls7e_ard_3-1-0_091086_2019-08-24_final
2019-08-25 09:14:28	ga_ls7e_ard_3-1-0_091087_2019-08-24_final
2019-09-03 09:07:30	ga_ls7e_ard_3-1-0_090086_2019-09-02_final
2019-09-06 09:38:16	ga_ls7e_ard_3-1-0_095086_2019-09-06_final
2019-09-06 09:38:40	ga_ls7e_ard_3-1-0_095087_2019-09-06_final
2019-09-08 09:25:50	ga_ls7e_ard_3-1-0_093086_2019-09-07_final
2019-09-08 09:26:13	ga_ls7e_ard_3-1-0_093087_2019-09-07_final
2019-09-10 09:13:23	ga_ls7e_ard_3-1-0_091086_2019-09-09_final
2019-09-10 09:13:47	ga_ls7e_ard_3-1-0_091087_2019-09-09_final
2019-09-12 09:00:56	ga_ls7e_ard_3-1-0_089086_2019-09-11_final
2019-09-17 09:19:15	ga_ls7e_ard_3-1-0_092086_2019-09-16_final
2019-09-17 09:19:39	ga_ls7e_ard_3-1-0_092087_2019-09-16_final
2019-09-19 09:06:48	ga_ls7e_ard_3-1-0_090086_2019-09-18_final
2019-09-22 09:37:34	ga_ls7e_ard_3-1-0_095086_2019-09-22_final
2019-09-22 09:37:58	ga_ls7e_ard_3-1-0_095087_2019-09-22_final
2019-09-24 09:25:07	ga_ls7e_ard_3-1-0_093086_2019-09-23_final
2019-09-24 09:25:31	ga_ls7e_ard_3-1-0_093087_2019-09-23_final
2019-10-08 09:36:54	ga_ls7e_ard_3-1-0_095086_2019-10-08_final
2019-10-08 09:37:18	ga_ls7e_ard_3-1-0_095087_2019-10-08_final
2019-10-12 09:12:01	ga_ls7e_ard_3-1-0_091086_2019-10-11_final
2019-10-12 09:12:25	ga_ls7e_ard_3-1-0_091087_2019-10-11_final
2019-10-31 09:42:05	ga_ls7e_ard_3-1-0_096086_2019-10-31_final
2019-11-04 09:17:12	ga_ls7e_ard_3-1-0_092086_2019-11-03_final
2019-11-04 09:17:35	ga_ls7e_ard_3-1-0_092087_2019-11-03_final
2019-11-18 09:28:54	ga_ls7e_ard_3-1-0_094086_2019-11-17_final
2019-11-18 09:29:18	ga_ls7e_ard_3-1-0_094087_2019-11-17_final
2019-12-08 09:03:13	ga_ls7e_ard_3-1-0_090086_2019-12-07_final
2019-12-18 09:39:48	ga_ls7e_ard_3-1-0_096086_2019-12-18_final
2019-12-20 09:27:20	ga_ls7e_ard_3-1-0_094086_2019-12-19_final
2019-12-20 09:27:44	ga_ls7e_ard_3-1-0_094087_2019-12-19_final
2019-12-22 09:14:52	ga_ls7e_ard_3-1-0_092086_2019-12-21_final
2019-12-22 09:15:16	ga_ls7e_ard_3-1-0_092087_2019-12-21_final
2020-01-02 08:55:45	ga_ls7e_ard_3-1-0_089086_2020-01-01_final
2020-01-03 09:38:58	ga_ls7e_ard_3-1-0_096086_2020-01-03_final
2020-01-07 09:14:02	ga_ls7e_ard_3-1-0_092086_2020-01-06_final
2020-01-09 09:01:34	ga_ls7e_ard_3-1-0_090086_2020-01-08_final
2020-01-14 09:19:52	ga_ls7e_ard_3-1-0_093086_2020-01-13_final
2020-01-14 09:20:16	ga_ls7e_ard_3-1-0_093087_2020-01-13_final
2020-01-25 09:00:47	ga_ls7e_ard_3-1-0_090086_2020-01-24_final
2020-02-06 09:24:54	ga_ls7e_ard_3-1-0_094086_2020-02-05_final
2020-02-06 09:25:18	ga_ls7e_ard_3-1-0_094087_2020-02-05_final
2020-02-08 09:12:26	ga_ls7e_ard_3-1-0_092086_2020-02-07_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