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
2003-10-23 09:21:46	ga_ls7e_ard_3-0-0_092086_2003-10-22_final
2003-11-26 09:09:46	ga_ls7e_ard_3-0-0_090086_2003-11-25_final
2004-11-10 09:22:23	ga_ls7e_ard_3-0-0_092086_2004-11-09_final
2004-11-12 09:10:01	ga_ls7e_ard_3-0-0_090086_2004-11-11_final
2004-12-05 09:16:25	ga_ls7e_ard_3-1-0_091086_2004-12-04_final
2004-12-10 09:34:59	ga_ls7e_ard_3-0-0_094086_2004-12-10_final
2004-12-12 09:22:38	ga_ls7e_ard_3-0-0_092086_2004-12-11_final
2010-06-18 09:37:57	ga_ls7e_ard_3-0-0_094086_2010-06-18_final
2010-07-20 09:38:02	ga_ls7e_ard_3-0-0_094086_2010-07-20_final
2010-07-22 09:25:40	ga_ls7e_ard_3-0-0_092086_2010-07-21_final
2010-07-24 09:13:19	ga_ls7e_ard_3-0-0_090086_2010-07-23_final
2010-07-27 09:44:13	ga_ls7e_ard_3-0-0_095086_2010-07-27_final
2010-08-09 09:13:18	ga_ls7e_ard_3-0-0_090086_2010-08-08_final
2010-08-12 09:44:12	ga_ls7e_ard_3-0-0_095086_2010-08-12_final
2010-12-18 09:45:02	ga_ls7e_ard_3-0-0_095086_2010-12-18_final
2010-12-22 09:20:20	ga_ls7e_ard_3-1-0_091086_2010-12-21_final
2013-11-17 09:41:59	ga_ls7e_ard_3-0-0_094086_2013-11-17_final
2013-11-19 09:29:37	ga_ls7e_ard_3-0-0_092086_2013-11-18_final
2014-01-31 09:24:08	ga_ls7e_ard_3-1-0_091086_2014-01-30_final
2014-02-02 09:11:47	ga_ls7e_ard_3-0-0_089086_2014-02-01_final
2014-02-07 09:30:20	ga_ls7e_ard_3-0-0_092086_2014-02-07_final
2014-04-24 09:55:21	ga_ls7e_ard_3-1-0_096086_2014-04-24_final
2014-06-06 09:37:02	ga_ls7e_ard_3-0-0_093086_2014-06-06_final
2014-09-30 09:12:45	ga_ls7e_ard_3-0-0_089086_2014-09-29_final
2014-10-01 09:56:02	ga_ls7e_ard_3-1-0_096086_2014-10-01_final
2018-01-08 09:41:42	ga_ls7e_ard_3-0-0_093086_2018-01-08_final
2018-01-10 09:29:19	ga_ls7e_ard_3-1-0_091086_2018-01-09_final
2018-02-16 09:47:19	ga_ls7e_ard_3-0-0_094086_2018-02-16_final
2018-02-18 09:34:56	ga_ls7e_ard_3-0-0_092086_2018-02-18_final
2018-05-27 09:21:08	ga_ls7e_ard_3-0-0_090086_2018-05-26_final
2018-05-30 09:51:59	ga_ls7e_ard_3-0-0_095086_2018-05-30_final
2018-06-01 09:39:35	ga_ls7e_ard_3-0-0_093086_2018-06-01_final
2018-06-19 09:26:54	ga_ls7e_ard_3-1-0_091086_2018-06-18_final
2018-06-28 09:20:33	ga_ls7e_ard_3-0-0_090086_2018-06-27_final
2018-07-01 09:51:23	ga_ls7e_ard_3-0-0_095086_2018-07-01_final
2018-07-03 09:38:59	ga_ls7e_ard_3-0-0_093086_2018-07-03_final
2018-08-02 09:50:48	ga_ls7e_ard_3-0-0_095086_2018-08-02_final
2020-04-14 08:56:04	ga_ls7e_ard_3-1-0_090085_2020-04-13_final
2020-04-14 08:56:28	ga_ls7e_ard_3-1-0_090086_2020-04-13_final
2020-06-13 09:17:36	ga_ls7e_ard_3-1-0_094086_2020-06-12_final
2020-06-22 09:10:54	ga_ls7e_ard_3-1-0_093086_2020-06-21_final
2020-06-24 08:58:01	ga_ls7e_ard_3-1-0_091085_2020-06-23_final
2020-06-24 08:58:25	ga_ls7e_ard_3-1-0_091086_2020-06-23_final
2020-07-10 08:57:27	ga_ls7e_ard_3-1-0_091086_2020-07-09_final
2020-08-13 08:42:35	ga_ls7e_ard_3-1-0_089085_2020-08-12_final
2020-08-13 08:42:59	ga_ls7e_ard_3-1-0_089086_2020-08-12_final
2020-08-14 09:26:11	ga_ls7e_ard_3-1-0_096086_2020-08-13_final
2020-08-16 09:13:41	ga_ls7e_ard_3-1-0_094086_2020-08-15_final
2020-08-29 08:41:57	ga_ls7e_ard_3-1-0_089086_2020-08-28_final
2020-08-30 09:25:09	ga_ls7e_ard_3-1-0_096086_2020-08-29_final
2020-09-01 09:12:39	ga_ls7e_ard_3-1-0_094086_2020-08-31_final
2020-09-03 08:59:46	ga_ls7e_ard_3-1-0_092085_2020-09-02_final
2020-09-03 09:00:10	ga_ls7e_ard_3-1-0_092086_2020-09-02_final
2020-10-14 08:50:55	ga_ls7e_ard_3-1-0_091085_2020-10-13_final
2020-10-14 08:51:19	ga_ls7e_ard_3-1-0_091086_2020-10-13_final
2020-11-11 09:13:46	ga_ls7e_ard_3-1-0_095085_2020-11-10_final
2020-11-13 09:01:16	ga_ls7e_ard_3-1-0_093085_2020-11-12_final
2020-11-15 08:48:47	ga_ls7e_ard_3-1-0_091085_2020-11-14_final
2020-11-15 08:49:10	ga_ls7e_ard_3-1-0_091086_2020-11-14_final
2020-12-24 08:52:05	ga_ls7e_ard_3-1-0_092085_2020-12-23_final
2020-12-24 08:52:29	ga_ls7e_ard_3-1-0_092086_2020-12-23_final
2020-12-26 08:39:59	ga_ls7e_ard_3-1-0_090086_2020-12-25_final
2021-01-20 08:31:40	ga_ls7e_ard_3-2-0_089085_2021-01-19_final
2021-01-20 08:32:04	ga_ls7e_ard_3-2-0_089086_2021-01-19_final
2021-01-21 09:14:51	ga_ls7e_ard_3-2-0_096085_2021-01-20_final
2021-01-21 09:15:15	ga_ls7e_ard_3-2-0_096086_2021-01-20_final
2021-01-23 09:02:21	ga_ls7e_ard_3-2-0_094085_2021-01-22_final
2021-01-23 09:02:45	ga_ls7e_ard_3-2-0_094086_2021-01-22_final
2021-01-25 08:49:51	ga_ls7e_ard_3-2-0_092085_2021-01-24_final
2021-01-25 08:50:15	ga_ls7e_ard_3-2-0_092086_2021-01-24_final
2021-01-27 08:37:44	ga_ls7e_ard_3-2-0_090086_2021-01-26_final
2021-01-28 09:20:31	ga_ls7e_ard_3-2-0_097085_2021-01-27_final
2021-02-03 08:43:00	ga_ls7e_ard_3-2-0_091085_2021-02-02_final
2021-02-03 08:43:24	ga_ls7e_ard_3-2-0_091086_2021-02-02_final
2021-02-06 09:13:41	ga_ls7e_ard_3-2-0_096085_2021-02-05_final
2021-02-06 09:14:05	ga_ls7e_ard_3-2-0_096086_2021-02-05_final
2021-02-08 09:01:10	ga_ls7e_ard_3-2-0_094085_2021-02-07_final
2021-02-08 09:01:34	ga_ls7e_ard_3-2-0_094086_2021-02-07_final
2021-02-10 08:48:40	ga_ls7e_ard_3-2-0_092085_2021-02-09_final
2021-02-10 08:49:04	ga_ls7e_ard_3-2-0_092086_2021-02-09_final
2021-02-13 09:19:20	ga_ls7e_ard_3-2-0_097085_2021-02-12_final
2021-02-15 09:06:50	ga_ls7e_ard_3-2-0_095085_2021-02-14_final
2021-02-15 09:07:14	ga_ls7e_ard_3-2-0_095086_2021-02-14_final
2021-03-03 09:05:36	ga_ls7e_ard_3-2-0_095085_2021-03-02_final
2021-03-03 09:06:00	ga_ls7e_ard_3-2-0_095086_2021-03-02_final
2021-03-05 08:53:05	ga_ls7e_ard_3-2-0_093085_2021-03-04_final
2021-03-05 08:53:29	ga_ls7e_ard_3-2-0_093086_2021-03-04_final
2021-03-07 08:40:34	ga_ls7e_ard_3-2-0_091085_2021-03-06_final
2021-03-07 08:40:58	ga_ls7e_ard_3-2-0_091086_2021-03-06_final
2021-03-12 08:59:07	ga_ls7e_ard_3-2-0_094086_2021-03-11_final
2021-03-14 08:46:12	ga_ls7e_ard_3-2-0_092085_2021-03-13_final
2021-03-14 08:46:36	ga_ls7e_ard_3-2-0_092086_2021-03-13_final
2021-03-16 08:33:41	ga_ls7e_ard_3-2-0_090085_2021-03-15_final
2021-03-17 09:16:52	ga_ls7e_ard_3-2-0_097085_2021-03-16_final
2021-03-24 09:22:29	ga_ls7e_ard_3-2-0_098085_2021-03-23_final
2021-03-25 08:26:47	ga_ls7e_ard_3-2-0_089085_2021-03-24_final
2021-03-25 08:27:11	ga_ls7e_ard_3-2-0_089086_2021-03-24_final
2021-03-26 09:09:57	ga_ls7e_ard_3-2-0_096085_2021-03-25_final
2021-03-26 09:10:21	ga_ls7e_ard_3-2-0_096086_2021-03-25_final
2021-03-28 08:57:26	ga_ls7e_ard_3-2-0_094085_2021-03-27_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