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
2006-07-25 09:35:07	ga_ls7e_ard_3-0-0_094085_2006-07-25_final
2006-07-25 09:35:30	ga_ls7e_ard_3-0-0_094086_2006-07-25_final
2006-12-05 09:54:04	ga_ls7e_ard_3-0-0_097085_2006-12-05_final
2006-12-07 09:41:43	ga_ls7e_ard_3-0-0_095085_2006-12-07_final
2006-12-07 09:42:07	ga_ls7e_ard_3-0-0_095086_2006-12-07_final
2006-12-09 09:29:22	ga_ls7e_ard_3-0-0_093085_2006-12-08_final
2006-12-09 09:29:46	ga_ls7e_ard_3-1-0_093086_2006-12-08_final
2007-01-13 10:00:21	ga_ls7e_ard_3-0-0_098085_2007-01-13_final
2007-01-14 09:04:43	ga_ls7e_ard_3-0-0_089085_2007-01-13_final
2007-01-14 09:05:07	ga_ls7e_ard_3-0-0_089086_2007-01-13_final
2007-01-15 09:47:59	ga_ls7e_ard_3-0-0_096085_2007-01-15_final
2007-01-15 09:48:23	ga_ls7e_ard_3-1-0_096086_2007-01-15_final
2007-01-17 09:36:01	ga_ls7e_ard_3-0-0_094086_2007-01-17_final
2007-01-31 09:48:06	ga_ls7e_ard_3-0-0_096085_2007-01-31_final
2007-01-31 09:48:30	ga_ls7e_ard_3-1-0_096086_2007-01-31_final
2007-02-02 09:35:45	ga_ls7e_ard_3-0-0_094085_2007-02-02_final
2007-02-02 09:36:09	ga_ls7e_ard_3-0-0_094086_2007-02-02_final
2007-02-04 09:23:25	ga_ls7e_ard_3-0-0_092085_2007-02-03_final
2007-02-04 09:23:49	ga_ls7e_ard_3-0-0_092086_2007-02-03_final
2007-02-06 09:11:04	ga_ls7e_ard_3-1-0_090085_2007-02-05_final
2007-02-06 09:11:28	ga_ls7e_ard_3-0-0_090086_2007-02-05_final
2014-11-04 09:43:37	ga_ls7e_ard_3-0-0_094085_2014-11-04_final
2014-11-04 09:44:01	ga_ls7e_ard_3-0-0_094086_2014-11-04_final
2014-11-06 09:31:16	ga_ls7e_ard_3-0-0_092085_2014-11-06_final
2014-11-06 09:31:40	ga_ls7e_ard_3-0-0_092086_2014-11-06_final
2014-11-09 10:02:12	ga_ls7e_ard_3-0-0_097085_2014-11-09_final
2014-11-27 09:49:55	ga_ls7e_ard_3-0-0_095085_2014-11-27_final
2014-11-27 09:50:18	ga_ls7e_ard_3-0-0_095086_2014-11-27_final
2014-11-29 09:37:34	ga_ls7e_ard_3-0-0_093085_2014-11-29_final
2014-11-29 09:37:58	ga_ls7e_ard_3-0-0_093086_2014-11-29_final
2014-12-10 09:19:29	ga_ls7e_ard_3-0-0_090086_2014-12-09_final
2014-12-13 09:50:02	ga_ls7e_ard_3-0-0_095085_2014-12-13_final
2014-12-13 09:50:26	ga_ls7e_ard_3-0-0_095086_2014-12-13_final
2014-12-15 09:38:07	ga_ls7e_ard_3-0-0_093086_2014-12-15_final
2015-03-23 09:26:18	ga_ls7e_ard_3-1-0_091086_2015-03-22_final
2015-04-20 09:51:13	ga_ls7e_ard_3-0-0_095086_2015-04-20_final
2015-04-22 09:38:27	ga_ls7e_ard_3-0-0_093085_2015-04-22_final
2015-04-22 09:38:51	ga_ls7e_ard_3-0-0_093086_2015-04-22_final
2015-04-26 09:14:11	ga_ls7e_ard_3-0-0_089086_2015-04-25_final
2015-06-05 10:03:30	ga_ls7e_ard_3-0-0_097085_2015-06-05_final
2015-06-07 09:51:34	ga_ls7e_ard_3-0-0_095086_2015-06-07_final
2015-08-10 09:51:49	ga_ls7e_ard_3-0-0_095086_2015-08-10_final
2018-09-14 09:31:00	ga_ls7e_ard_3-0-0_092085_2018-09-14_final
2018-09-14 09:31:24	ga_ls7e_ard_3-0-0_092086_2018-09-14_final
2018-09-16 09:18:36	ga_ls7e_ard_3-1-0_090085_2018-09-15_final
2018-09-16 09:18:59	ga_ls7e_ard_3-0-0_090086_2018-09-15_final
2018-09-17 10:01:50	ga_ls7e_ard_3-0-0_097085_2018-09-17_final
2018-09-19 09:49:49	ga_ls7e_ard_3-0-0_095086_2018-09-19_final
2018-10-16 09:30:37	ga_ls7e_ard_3-0-0_092086_2018-10-16_final
2018-10-21 09:48:39	ga_ls7e_ard_3-0-0_095085_2018-10-21_final
2018-10-23 09:36:15	ga_ls7e_ard_3-0-0_093085_2018-10-23_final
2018-10-23 09:36:39	ga_ls7e_ard_3-0-0_093086_2018-10-23_final
2018-10-25 09:23:51	ga_ls7e_ard_3-0-0_091085_2018-10-24_final
2018-10-25 09:24:15	ga_ls7e_ard_3-1-0_091086_2018-10-24_final
2018-11-20 10:00:21	ga_ls7e_ard_3-0-0_097085_2018-11-20_final
2018-12-10 09:35:06	ga_ls7e_ard_3-0-0_093085_2018-12-10_final
2018-12-10 09:35:30	ga_ls7e_ard_3-0-0_093086_2018-12-10_final
2018-12-12 09:22:41	ga_ls7e_ard_3-0-0_091085_2018-12-11_final
2018-12-12 09:23:05	ga_ls7e_ard_3-1-0_091086_2018-12-11_final
2018-12-13 10:05:55	ga_ls7e_ard_3-0-0_098085_2018-12-13_final
2018-12-14 09:10:16	ga_ls7e_ard_3-0-0_089085_2018-12-13_final
2018-12-15 09:53:30	ga_ls7e_ard_3-0-0_096085_2018-12-15_final
2018-12-15 09:53:54	ga_ls7e_ard_3-1-0_096086_2018-12-15_final
2018-12-17 09:41:05	ga_ls7e_ard_3-0-0_094085_2018-12-17_final
2018-12-17 09:41:29	ga_ls7e_ard_3-0-0_094086_2018-12-17_final
2019-01-16 09:52:32	ga_ls7e_ard_3-0-0_096085_2019-01-16_final
2019-01-18 09:40:06	ga_ls7e_ard_3-0-0_094085_2019-01-18_final
2019-03-16 09:32:09	ga_ls7e_ard_3-1-0_093085_2019-03-16_final
2019-03-16 09:32:33	ga_ls7e_ard_3-1-0_093086_2019-03-16_final
2019-03-19 10:02:57	ga_ls7e_ard_3-1-0_098085_2019-03-19_final
2019-03-20 09:07:18	ga_ls7e_ard_3-1-0_089085_2019-03-19_final
2019-04-15 09:43:29	ga_ls7e_ard_3-0-0_095085_2019-04-15_final
2019-04-15 09:43:53	ga_ls7e_ard_3-0-0_095086_2019-04-15_final
2019-07-04 09:40:30	ga_ls7e_ard_3-0-0_095085_2019-07-04_final
2019-07-04 09:40:54	ga_ls7e_ard_3-0-0_095086_2019-07-04_final
2019-07-06 09:28:04	ga_ls7e_ard_3-0-0_093085_2019-07-05_final
2019-07-06 09:28:28	ga_ls7e_ard_3-0-0_093086_2019-07-05_final
2019-09-19 09:06:24	ga_ls7e_ard_3-1-0_090085_2019-09-18_final
2019-09-19 09:06:48	ga_ls7e_ard_3-1-0_090086_2019-09-18_final
2019-09-22 09:37:10	ga_ls7e_ard_3-1-0_095085_2019-09-22_final
2019-09-22 09:37:34	ga_ls7e_ard_3-1-0_095086_2019-09-22_final
2019-09-24 09:24:43	ga_ls7e_ard_3-1-0_093085_2019-09-23_final
2019-09-24 09:25:07	ga_ls7e_ard_3-1-0_093086_2019-09-23_final
2019-10-21 09:05:03	ga_ls7e_ard_3-1-0_090085_2019-10-20_final
2019-10-21 09:05:27	ga_ls7e_ard_3-1-0_090086_2019-10-20_final
2019-10-22 09:48:16	ga_ls7e_ard_3-1-0_097085_2019-10-22_final
2019-12-18 09:39:24	ga_ls7e_ard_3-1-0_096085_2019-12-18_final
2019-12-18 09:39:48	ga_ls7e_ard_3-1-0_096086_2019-12-18_final
2019-12-20 09:26:56	ga_ls7e_ard_3-1-0_094085_2019-12-19_final
2019-12-20 09:27:20	ga_ls7e_ard_3-1-0_094086_2019-12-19_final
2019-12-22 09:14:28	ga_ls7e_ard_3-1-0_092085_2019-12-21_final
2019-12-22 09:14:52	ga_ls7e_ard_3-1-0_092086_2019-12-21_final
2020-01-21 09:25:18	ga_ls7e_ard_3-1-0_094085_2020-01-20_final
2020-01-21 09:25:42	ga_ls7e_ard_3-1-0_094086_2020-01-20_final
2020-01-23 09:13:15	ga_ls7e_ard_3-1-0_092086_2020-01-22_final
2020-01-25 09:00:23	ga_ls7e_ard_3-1-0_090085_2020-01-24_final
2020-01-25 09:00:47	ga_ls7e_ard_3-1-0_090086_2020-01-24_final
2020-02-10 08:59:35	ga_ls7e_ard_3-1-0_090085_2020-02-09_final
2020-02-13 09:30:19	ga_ls7e_ard_3-1-0_095085_2020-02-13_final
2020-02-13 09:30:43	ga_ls7e_ard_3-1-0_095086_2020-02-13_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