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
2000-08-29 09:12:49	ga_ls7e_ard_3-0-0_090088_2000-08-28_final
2000-09-03 09:30:52	ga_ls7e_ard_3-0-0_093087_2000-09-03_final
2000-09-05 09:18:51	ga_ls7e_ard_3-0-0_091088_2000-09-04_final
2000-09-14 09:12:30	ga_ls7e_ard_3-0-0_090088_2000-09-13_final
2000-09-21 09:18:32	ga_ls7e_ard_3-0-0_091088_2000-09-20_final
2002-01-05 09:22:32	ga_ls7e_ard_3-0-0_092087_2002-01-04_final
2002-01-05 09:22:56	ga_ls7e_ard_3-0-0_092088_2002-01-04_final
2002-01-07 09:10:36	ga_ls7e_ard_3-0-0_090088_2002-01-06_final
2002-01-28 09:29:15	ga_ls7e_ard_3-0-0_093088_2002-01-27_final
2002-02-15 09:16:58	ga_ls7e_ard_3-0-0_091088_2002-02-14_final
2002-02-22 09:22:43	ga_ls7e_ard_3-0-0_092087_2002-02-21_final
2002-02-22 09:23:07	ga_ls7e_ard_3-0-0_092088_2002-02-21_final
2002-02-24 09:10:48	ga_ls7e_ard_3-0-0_090088_2002-02-23_final
2002-04-11 09:23:04	ga_ls7e_ard_3-0-0_092088_2002-04-10_final
2002-04-29 09:10:43	ga_ls7e_ard_3-0-0_090088_2002-04-28_final
2002-08-03 09:10:06	ga_ls7e_ard_3-0-0_090088_2002-08-02_final
2002-08-08 09:28:36	ga_ls7e_ard_3-1-0_093088_2002-08-07_final
2002-08-17 09:22:25	ga_ls7e_ard_3-0-0_092088_2002-08-16_final
2003-12-28 09:10:47	ga_ls7e_ard_3-0-0_090088_2003-12-27_final
2004-01-11 09:23:10	ga_ls7e_ard_3-0-0_092088_2004-01-10_final
2004-02-21 09:17:10	ga_ls7e_ard_3-0-0_091088_2004-02-20_final
2004-02-28 09:23:22	ga_ls7e_ard_3-0-0_092088_2004-02-27_final
2004-03-01 09:11:02	ga_ls7e_ard_3-0-0_090088_2004-02-29_final
2004-03-06 09:29:13	ga_ls7e_ard_3-1-0_093087_2004-03-05_final
2004-03-17 09:11:09	ga_ls7e_ard_3-0-0_090088_2004-03-16_final
2004-04-18 09:11:01	ga_ls7e_ard_3-0-0_090088_2004-04-17_final
2004-04-25 09:17:12	ga_ls7e_ard_3-0-0_091088_2004-04-24_final
2004-05-16 09:35:24	ga_ls7e_ard_3-0-0_094087_2004-05-16_final
2004-07-03 09:35:13	ga_ls7e_ard_3-0-0_094087_2004-07-03_final
2004-07-07 09:10:53	ga_ls7e_ard_3-0-0_090088_2004-07-06_final
2017-11-30 09:36:45	ga_ls7e_ard_3-0-0_092088_2017-11-30_final
2017-12-07 09:42:52	ga_ls7e_ard_3-0-0_093088_2017-12-07_final
2017-12-09 09:30:30	ga_ls7e_ard_3-0-0_091088_2017-12-09_final
2018-04-07 09:35:07	ga_ls7e_ard_3-0-0_092088_2018-04-07_final
2018-04-23 09:34:27	ga_ls7e_ard_3-0-0_092087_2018-04-23_final
2018-04-23 09:34:51	ga_ls7e_ard_3-0-0_092088_2018-04-23_final
2018-04-25 09:22:28	ga_ls7e_ard_3-0-0_090088_2018-04-24_final
2018-06-17 09:39:42	ga_ls7e_ard_3-1-0_093087_2018-06-17_final
2018-06-17 09:40:06	ga_ls7e_ard_3-0-0_093088_2018-06-17_final
2018-07-12 09:33:25	ga_ls7e_ard_3-0-0_092088_2018-07-12_final
2018-08-11 09:44:51	ga_ls7e_ard_3-0-0_094087_2018-08-11_final
2018-08-13 09:32:28	ga_ls7e_ard_3-0-0_092087_2018-08-13_final
2018-08-15 09:20:28	ga_ls7e_ard_3-0-0_090088_2018-08-14_final
2018-08-29 09:32:08	ga_ls7e_ard_3-0-0_092087_2018-08-29_final
2018-08-29 09:32:32	ga_ls7e_ard_3-0-0_092088_2018-08-29_final
2020-02-17 09:06:12	ga_ls7e_ard_3-1-0_091087_2020-02-16_final
2020-02-17 09:06:36	ga_ls7e_ard_3-1-0_091088_2020-02-16_final
2020-03-13 08:59:04	ga_ls7e_ard_3-1-0_090088_2020-03-12_final
2020-05-05 09:14:10	ga_ls7e_ard_3-1-0_093087_2020-05-04_final
2020-06-06 09:12:14	ga_ls7e_ard_3-1-0_093087_2020-06-05_final
2020-06-06 09:12:38	ga_ls7e_ard_3-1-0_093088_2020-06-05_final
2020-06-08 08:59:45	ga_ls7e_ard_3-1-0_091087_2020-06-07_final
2020-06-08 09:00:09	ga_ls7e_ard_3-1-0_091088_2020-06-07_final
2020-07-03 08:52:30	ga_ls7e_ard_3-1-0_090088_2020-07-02_final
2020-07-08 09:10:20	ga_ls7e_ard_3-1-0_093087_2020-07-07_final
2020-07-08 09:10:44	ga_ls7e_ard_3-1-0_093088_2020-07-07_final
2020-12-24 08:53:17	ga_ls7e_ard_3-1-0_092088_2020-12-23_final
2021-01-18 08:45:22	ga_ls7e_ard_3-1-0_091088_2021-01-17_final
2021-01-23 09:03:09	ga_ls7e_ard_3-2-0_094087_2021-01-22_final
2021-01-27 08:38:32	ga_ls7e_ard_3-2-0_090088_2021-01-26_final
2021-02-01 08:56:19	ga_ls7e_ard_3-2-0_093087_2021-01-31_final
2021-02-03 08:43:48	ga_ls7e_ard_3-2-0_091087_2021-02-02_final
2021-02-03 08:44:12	ga_ls7e_ard_3-2-0_091088_2021-02-02_final
2021-03-16 08:34:53	ga_ls7e_ard_3-2-0_090088_2021-03-15_final
2021-03-19 09:05:08	ga_ls7e_ard_3-2-0_095087_2021-03-18_final
2021-03-21 08:53:01	ga_ls7e_ard_3-2-0_093088_2021-03-20_final
2021-03-28 08:58:14	ga_ls7e_ard_3-2-0_094087_2021-03-27_final
2021-04-01 08:33:35	ga_ls7e_ard_3-2-0_090088_2021-03-31_final
2021-04-08 08:38:47	ga_ls7e_ard_3-2-0_091087_2021-04-07_final
2021-04-08 08:39:11	ga_ls7e_ard_3-2-0_091088_2021-04-07_final
2021-04-15 08:44:23	ga_ls7e_ard_3-2-0_092087_2021-04-14_final
2021-04-15 08:44:47	ga_ls7e_ard_3-2-0_092088_2021-04-14_final
2021-04-22 08:49:58	ga_ls7e_ard_3-2-0_093087_2021-04-21_final
2021-04-22 08:50:22	ga_ls7e_ard_3-2-0_093088_2021-04-21_final
2021-04-24 08:37:26	ga_ls7e_ard_3-2-0_091087_2021-04-23_final
2021-04-24 08:37:50	ga_ls7e_ard_3-2-0_091088_2021-04-23_final
2021-05-01 08:43:02	ga_ls7e_ard_3-2-0_092087_2021-04-30_final
2021-05-01 08:43:26	ga_ls7e_ard_3-2-0_092088_2021-04-30_final
2021-07-13 08:30:45	ga_ls7e_ard_3-2-0_091087_2021-07-12_final
2021-07-13 08:31:08	ga_ls7e_ard_3-2-0_091088_2021-07-12_final
2021-07-18 08:48:51	ga_ls7e_ard_3-2-0_094087_2021-07-17_final
2021-07-20 08:36:19	ga_ls7e_ard_3-2-0_092087_2021-07-19_final
2021-08-07 08:22:47	ga_ls7e_ard_3-2-0_090088_2021-08-06_final
2021-08-10 08:53:01	ga_ls7e_ard_3-2-0_095087_2021-08-09_final
2021-08-12 08:40:29	ga_ls7e_ard_3-2-0_093087_2021-08-11_final
2021-08-14 08:27:56	ga_ls7e_ard_3-2-0_091087_2021-08-13_final
2021-08-14 08:28:20	ga_ls7e_ard_3-2-0_091088_2021-08-13_final
2021-08-19 08:46:02	ga_ls7e_ard_3-2-0_094087_2021-08-18_final
2021-08-21 08:33:30	ga_ls7e_ard_3-2-0_092087_2021-08-20_final
2021-11-02 08:20:50	ga_ls7e_ard_3-2-0_091087_2021-11-01_final
2021-11-02 08:21:14	ga_ls7e_ard_3-2-0_091088_2021-11-01_final
2021-11-09 08:26:21	ga_ls7e_ard_3-2-0_092087_2021-11-08_final
2021-11-09 08:26:45	ga_ls7e_ard_3-2-0_092088_2021-11-08_final
2021-11-11 08:14:12	ga_ls7e_ard_3-2-0_090088_2021-11-10_final
2021-11-23 08:37:20	ga_ls7e_ard_3-2-1_094087_2021-11-22_final
2022-03-10 08:08:23	ga_ls7e_ard_3-2-1_091087_2022-03-09_final
2022-03-10 08:08:47	ga_ls7e_ard_3-2-1_091088_2022-03-09_final
2022-03-15 08:26:24	ga_ls7e_ard_3-2-1_094087_2022-03-14_final
2022-03-17 08:13:50	ga_ls7e_ard_3-2-1_092087_2022-03-16_final
2022-03-19 08:01:41	ga_ls7e_ard_3-2-1_090088_2022-03-18_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