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
2001-08-03 09:40:42	ga_ls7e_ard_3-0-0_095085_2001-08-03_final
2001-08-03 09:41:06	ga_ls7e_ard_3-0-0_095086_2001-08-03_final
2001-08-07 09:15:54	ga_ls7e_ard_3-0-0_091085_2001-08-06_final
2001-08-07 09:16:18	ga_ls7e_ard_3-1-0_091086_2001-08-06_final
2002-03-08 09:34:44	ga_ls7e_ard_3-0-0_094086_2002-03-08_final
2002-03-10 09:22:22	ga_ls7e_ard_3-0-0_092086_2002-03-09_final
2002-03-12 09:10:00	ga_ls7e_ard_3-0-0_090086_2002-03-11_final
2002-03-13 09:52:51	ga_ls7e_ard_3-1-0_097085_2002-03-13_final
2002-03-15 09:40:27	ga_ls7e_ard_3-0-0_095085_2002-03-15_final
2002-03-15 09:40:51	ga_ls7e_ard_3-0-0_095086_2002-03-15_final
2002-03-17 09:28:27	ga_ls7e_ard_3-0-0_093086_2002-03-16_final
2002-03-28 09:09:30	ga_ls7e_ard_3-0-0_090085_2002-03-27_final
2002-03-28 09:09:54	ga_ls7e_ard_3-0-0_090086_2002-03-27_final
2002-03-29 09:52:46	ga_ls7e_ard_3-0-0_097085_2002-03-29_final
2002-03-31 09:40:23	ga_ls7e_ard_3-0-0_095085_2002-03-31_final
2002-03-31 09:40:47	ga_ls7e_ard_3-0-0_095086_2002-03-31_final
2002-04-02 09:27:59	ga_ls7e_ard_3-0-0_093085_2002-04-01_final
2002-04-02 09:28:23	ga_ls7e_ard_3-0-0_093086_2002-04-01_final
2002-04-29 09:09:31	ga_ls7e_ard_3-1-0_090085_2002-04-28_final
2002-04-29 09:09:55	ga_ls7e_ard_3-0-0_090086_2002-04-28_final
2002-05-02 09:40:50	ga_ls7e_ard_3-0-0_095086_2002-05-02_final
2002-05-04 09:28:29	ga_ls7e_ard_3-0-0_093086_2002-05-03_final
2002-07-07 09:28:03	ga_ls7e_ard_3-1-0_093086_2002-07-06_final
2002-07-09 09:15:41	ga_ls7e_ard_3-1-0_091086_2002-07-08_final
2002-07-11 09:03:18	ga_ls7e_ard_3-0-0_089086_2002-07-10_final
2002-07-12 09:46:33	ga_ls7e_ard_3-1-0_096086_2002-07-12_final
2002-07-14 09:33:47	ga_ls7e_ard_3-0-0_094085_2002-07-14_final
2002-07-14 09:34:11	ga_ls7e_ard_3-0-0_094086_2002-07-14_final
2002-10-06 09:08:24	ga_ls7e_ard_3-1-0_090085_2002-10-05_final
2002-10-06 09:08:48	ga_ls7e_ard_3-0-0_090086_2002-10-05_final
2002-10-07 09:51:39	ga_ls7e_ard_3-0-0_097085_2002-10-07_final
2002-10-11 09:26:49	ga_ls7e_ard_3-0-0_093085_2002-10-10_final
2002-10-11 09:27:13	ga_ls7e_ard_3-0-0_093086_2002-10-10_final
2008-04-29 09:10:46	ga_ls7e_ard_3-1-0_090085_2008-04-28_final
2008-04-29 09:11:10	ga_ls7e_ard_3-0-0_090086_2008-04-28_final
2018-01-31 09:47:07	ga_ls7e_ard_3-0-0_094085_2018-01-31_final
2018-01-31 09:47:31	ga_ls7e_ard_3-0-0_094086_2018-01-31_final
2018-02-02 09:34:44	ga_ls7e_ard_3-0-0_092085_2018-02-02_final
2018-02-02 09:35:08	ga_ls7e_ard_3-0-0_092086_2018-02-02_final
2018-02-04 09:22:20	ga_ls7e_ard_3-1-0_090085_2018-02-03_final
2018-02-04 09:22:44	ga_ls7e_ard_3-0-0_090086_2018-02-03_final
2018-02-13 09:16:27	ga_ls7e_ard_3-0-0_089086_2018-02-12_final
2018-02-14 09:59:42	ga_ls7e_ard_3-1-0_096086_2018-02-14_final
2018-02-16 09:46:55	ga_ls7e_ard_3-0-0_094085_2018-02-16_final
2018-02-16 09:47:19	ga_ls7e_ard_3-0-0_094086_2018-02-16_final
2018-11-08 09:35:54	ga_ls7e_ard_3-0-0_093085_2018-11-08_final
2018-11-08 09:36:18	ga_ls7e_ard_3-0-0_093086_2018-11-08_final
2018-11-10 09:23:30	ga_ls7e_ard_3-0-0_091085_2018-11-09_final
2018-11-10 09:23:54	ga_ls7e_ard_3-1-0_091086_2018-11-09_final
2018-11-20 10:00:21	ga_ls7e_ard_3-0-0_097085_2018-11-20_final
2018-11-24 09:35:31	ga_ls7e_ard_3-0-0_093085_2018-11-24_final
2018-11-24 09:35:55	ga_ls7e_ard_3-0-0_093086_2018-11-24_final
2019-03-23 09:38:06	ga_ls7e_ard_3-1-0_094085_2019-03-23_final
2019-03-23 09:38:30	ga_ls7e_ard_3-1-0_094086_2019-03-23_final
2019-03-27 09:13:15	ga_ls7e_ard_3-1-0_090085_2019-03-26_final
2019-03-27 09:13:39	ga_ls7e_ard_3-1-0_090086_2019-03-26_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
2019-04-24 09:37:22	ga_ls7e_ard_3-0-0_094086_2019-04-24_final
2019-04-26 09:24:32	ga_ls7e_ard_3-0-0_092085_2019-04-25_final
2019-04-26 09:24:56	ga_ls7e_ard_3-0-0_092086_2019-04-25_final
2019-04-28 09:12:06	ga_ls7e_ard_3-1-0_090085_2019-04-27_final
2019-04-28 09:12:30	ga_ls7e_ard_3-0-0_090086_2019-04-27_final
2019-04-29 09:55:19	ga_ls7e_ard_3-0-0_097085_2019-04-29_final
2019-05-01 09:43:17	ga_ls7e_ard_3-0-0_095086_2019-05-01_final
2019-05-14 09:11:29	ga_ls7e_ard_3-1-0_090085_2019-05-13_final
2019-05-14 09:11:53	ga_ls7e_ard_3-0-0_090086_2019-05-13_final
2019-05-15 09:54:42	ga_ls7e_ard_3-0-0_097085_2019-05-15_final
2019-05-17 09:42:16	ga_ls7e_ard_3-0-0_095085_2019-05-17_final
2019-05-17 09:42:40	ga_ls7e_ard_3-0-0_095086_2019-05-17_final
2019-05-19 09:30:13	ga_ls7e_ard_3-0-0_093086_2019-05-19_final
2019-05-21 09:17:23	ga_ls7e_ard_3-0-0_091085_2019-05-20_final
2019-05-21 09:17:47	ga_ls7e_ard_3-1-0_091086_2019-05-20_final
2019-05-26 09:35:45	ga_ls7e_ard_3-0-0_094085_2019-05-26_final
2019-05-26 09:36:08	ga_ls7e_ard_3-0-0_094086_2019-05-26_final
2019-06-11 09:35:11	ga_ls7e_ard_3-0-0_094085_2019-06-11_final
2019-06-11 09:35:35	ga_ls7e_ard_3-0-0_094086_2019-06-11_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
2019-07-13 09:33:58	ga_ls7e_ard_3-0-0_094085_2019-07-13_final
2019-07-13 09:34:22	ga_ls7e_ard_3-0-0_094086_2019-07-13_final
2019-07-15 09:21:32	ga_ls7e_ard_3-0-0_092085_2019-07-14_final
2019-07-15 09:21:56	ga_ls7e_ard_3-0-0_092086_2019-07-14_final
2019-07-20 09:39:52	ga_ls7e_ard_3-0-0_095085_2019-07-20_final
2019-07-20 09:40:16	ga_ls7e_ard_3-0-0_095086_2019-07-20_final
2019-07-22 09:27:26	ga_ls7e_ard_3-0-0_093085_2019-07-21_final
2019-07-22 09:27:50	ga_ls7e_ard_3-0-0_093086_2019-07-21_final
2019-08-07 09:26:47	ga_ls7e_ard_3-0-0_093085_2019-08-06_final
2019-08-07 09:27:11	ga_ls7e_ard_3-0-0_093086_2019-08-06_final
2019-08-09 09:14:21	ga_ls7e_ard_3-0-0_091085_2019-08-08_final
2019-08-09 09:14:45	ga_ls7e_ard_3-1-0_091086_2019-08-08_final
2019-09-06 09:38:16	ga_ls7e_ard_3-1-0_095086_2019-09-06_final
2019-09-08 09:25:26	ga_ls7e_ard_3-1-0_093085_2019-09-07_final
2019-09-08 09:25:50	ga_ls7e_ard_3-1-0_093086_2019-09-07_final
2019-09-10 09:12:59	ga_ls7e_ard_3-1-0_091085_2019-09-09_final
2019-09-10 09:13:23	ga_ls7e_ard_3-1-0_091086_2019-09-09_final
2019-10-08 09:36:54	ga_ls7e_ard_3-1-0_095086_2019-10-08_final
2019-10-10 09:24:03	ga_ls7e_ard_3-1-0_093085_2019-10-09_final
2019-10-10 09:24:27	ga_ls7e_ard_3-1-0_093086_2019-10-09_final
2019-10-12 09:11:37	ga_ls7e_ard_3-1-0_091085_2019-10-11_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