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
2008-04-29 09:11:58	ga_ls7e_ard_3-1-0_090088_2008-04-28_final
2014-02-23 09:30:58	ga_ls7e_ard_3-0-0_092088_2014-02-23_final
2014-02-25 09:18:36	ga_ls7e_ard_3-0-0_090088_2014-02-24_final
2014-03-13 09:18:43	ga_ls7e_ard_3-0-0_090088_2014-03-12_final
2014-03-18 09:37:19	ga_ls7e_ard_3-0-0_093088_2014-03-18_final
2014-03-20 09:24:58	ga_ls7e_ard_3-0-0_091088_2014-03-19_final
2014-03-29 09:18:50	ga_ls7e_ard_3-0-0_090088_2014-03-28_final
2014-04-05 09:25:03	ga_ls7e_ard_3-0-0_091088_2014-04-04_final
2014-04-14 09:18:57	ga_ls7e_ard_3-0-0_090088_2014-04-13_final
2014-04-19 09:37:34	ga_ls7e_ard_3-0-0_093088_2014-04-19_final
2014-04-21 09:25:14	ga_ls7e_ard_3-0-0_091088_2014-04-20_final
2014-04-28 09:31:27	ga_ls7e_ard_3-0-0_092088_2014-04-28_final
2014-04-30 09:19:06	ga_ls7e_ard_3-0-0_090088_2014-04-29_final
2014-05-14 09:31:33	ga_ls7e_ard_3-0-0_092088_2014-05-14_final
2014-05-16 09:19:13	ga_ls7e_ard_3-0-0_090088_2014-05-15_final
2014-06-06 09:37:50	ga_ls7e_ard_3-0-0_093088_2014-06-06_final
2014-06-22 09:37:52	ga_ls7e_ard_3-0-0_093088_2014-06-22_final
2014-06-24 09:25:31	ga_ls7e_ard_3-0-0_091088_2014-06-23_final
2014-07-03 09:19:24	ga_ls7e_ard_3-0-0_090088_2014-07-02_final
2014-07-08 09:37:57	ga_ls7e_ard_3-0-0_093088_2014-07-08_final
2014-07-10 09:25:36	ga_ls7e_ard_3-0-0_091088_2014-07-09_final
2014-07-17 09:31:46	ga_ls7e_ard_3-0-0_092088_2014-07-17_final
2014-07-19 09:19:26	ga_ls7e_ard_3-0-0_090088_2014-07-18_final
2014-07-26 09:25:40	ga_ls7e_ard_3-0-0_091088_2014-07-25_final
2014-08-25 09:38:02	ga_ls7e_ard_3-0-0_093088_2014-08-25_final
2014-08-27 09:25:40	ga_ls7e_ard_3-0-0_091088_2014-08-26_final
2014-09-03 09:31:53	ga_ls7e_ard_3-0-0_092088_2014-09-03_final
2014-09-12 09:25:41	ga_ls7e_ard_3-0-0_091088_2014-09-11_final
2017-10-29 09:36:53	ga_ls7e_ard_3-0-0_092088_2017-10-29_final
2017-11-07 09:30:41	ga_ls7e_ard_3-0-0_091088_2017-11-07_final
2017-11-23 09:30:37	ga_ls7e_ard_3-0-0_091088_2017-11-23_final
2018-02-09 09:42:00	ga_ls7e_ard_3-0-0_093088_2018-02-09_final
2018-02-11 09:29:37	ga_ls7e_ard_3-0-0_091088_2018-02-10_final
2018-04-07 09:35:07	ga_ls7e_ard_3-0-0_092088_2018-04-07_final
2018-04-16 09:28:48	ga_ls7e_ard_3-0-0_091088_2018-04-15_final
2018-04-25 09:22:28	ga_ls7e_ard_3-0-0_090088_2018-04-24_final
2018-04-30 09:40:31	ga_ls7e_ard_3-0-0_093087_2018-04-30_final
2018-04-30 09:40:54	ga_ls7e_ard_3-0-0_093088_2018-04-30_final
2018-05-02 09:28:31	ga_ls7e_ard_3-0-0_091088_2018-05-01_final
2018-05-18 09:28:15	ga_ls7e_ard_3-0-0_091088_2018-05-17_final
2018-05-25 09:33:55	ga_ls7e_ard_3-0-0_092087_2018-05-25_final
2018-05-25 09:34:19	ga_ls7e_ard_3-0-0_092088_2018-05-25_final
2018-05-27 09:21:56	ga_ls7e_ard_3-0-0_090088_2018-05-26_final
2018-06-10 09:33:39	ga_ls7e_ard_3-0-0_092087_2018-06-10_final
2018-06-10 09:34:03	ga_ls7e_ard_3-0-0_092088_2018-06-10_final
2018-07-05 09:26:59	ga_ls7e_ard_3-0-0_091087_2018-07-04_final
2018-07-05 09:27:23	ga_ls7e_ard_3-0-0_091088_2018-07-04_final
2018-07-12 09:33:25	ga_ls7e_ard_3-0-0_092088_2018-07-12_final
2018-07-14 09:21:02	ga_ls7e_ard_3-0-0_090088_2018-07-13_final
2018-07-26 09:45:09	ga_ls7e_ard_3-0-0_094087_2018-07-26_final
2018-07-28 09:33:09	ga_ls7e_ard_3-0-0_092088_2018-07-28_final
2018-07-30 09:20:45	ga_ls7e_ard_3-0-0_090088_2018-07-29_final
2018-08-02 09:51:12	ga_ls7e_ard_3-0-0_095087_2018-08-02_final
2018-08-11 09:44:51	ga_ls7e_ard_3-0-0_094087_2018-08-11_final
2018-08-20 09:38:30	ga_ls7e_ard_3-1-0_093087_2018-08-20_final
2018-08-22 09:26:30	ga_ls7e_ard_3-0-0_091088_2018-08-21_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
2018-09-07 09:26:10	ga_ls7e_ard_3-0-0_091088_2018-09-06_final
2018-09-19 09:50:13	ga_ls7e_ard_3-0-0_095087_2018-09-19_final
2018-09-21 09:38:13	ga_ls7e_ard_3-0-0_093088_2018-09-21_final
2018-10-02 09:19:25	ga_ls7e_ard_3-0-0_090088_2018-10-01_final
2018-11-03 09:18:41	ga_ls7e_ard_3-0-0_090088_2018-11-02_final
2018-11-10 09:24:18	ga_ls7e_ard_3-0-0_091087_2018-11-09_final
2018-11-10 09:24:42	ga_ls7e_ard_3-0-0_091088_2018-11-09_final
2018-12-28 09:23:01	ga_ls7e_ard_3-0-0_091087_2018-12-27_final
2018-12-28 09:23:25	ga_ls7e_ard_3-0-0_091088_2018-12-27_final
2019-01-11 09:34:57	ga_ls7e_ard_3-1-0_093087_2019-01-11_final
2019-01-11 09:35:21	ga_ls7e_ard_3-0-0_093088_2019-01-11_final
2019-02-12 09:34:21	ga_ls7e_ard_3-0-0_093088_2019-02-12_final
2019-03-09 09:27:00	ga_ls7e_ard_3-1-0_092087_2019-03-08_final
2019-03-09 09:27:24	ga_ls7e_ard_3-1-0_092088_2019-03-08_final
2019-03-11 09:14:58	ga_ls7e_ard_3-1-0_090088_2019-03-10_final
2019-03-18 09:20:31	ga_ls7e_ard_3-1-0_091087_2019-03-17_final
2019-03-18 09:20:55	ga_ls7e_ard_3-1-0_091088_2019-03-17_final
2019-03-23 09:38:54	ga_ls7e_ard_3-1-0_094087_2019-03-23_final
2019-03-25 09:26:28	ga_ls7e_ard_3-1-0_092087_2019-03-24_final
2019-03-25 09:26:52	ga_ls7e_ard_3-1-0_092088_2019-03-24_final
2019-03-27 09:14:26	ga_ls7e_ard_3-1-0_090088_2019-03-26_final
2019-04-12 09:13:53	ga_ls7e_ard_3-0-0_090088_2019-04-11_final
2019-04-15 09:44:16	ga_ls7e_ard_3-0-0_095087_2019-04-15_final
2021-12-04 08:17:47	ga_ls7e_ard_3-2-1_091087_2021-12-03_final
2021-12-04 08:18:10	ga_ls7e_ard_3-2-1_091088_2021-12-03_final
2021-12-13 08:11:08	ga_ls7e_ard_3-2-1_090088_2021-12-12_final
2021-12-16 08:41:21	ga_ls7e_ard_3-2-1_095087_2021-12-15_final
2021-12-27 08:22:08	ga_ls7e_ard_3-2-1_092088_2021-12-26_final
2021-12-29 08:09:34	ga_ls7e_ard_3-2-1_090088_2021-12-28_final
2022-01-03 08:27:12	ga_ls7e_ard_3-2-1_093087_2022-01-02_final
2022-01-03 08:27:36	ga_ls7e_ard_3-2-1_093088_2022-01-02_final
2022-01-10 08:32:43	ga_ls7e_ard_3-2-1_094087_2022-01-09_final
2022-01-12 08:20:10	ga_ls7e_ard_3-2-1_092087_2022-01-11_final
2022-01-14 08:08:01	ga_ls7e_ard_3-2-1_090088_2022-01-13_final
2022-01-19 08:25:41	ga_ls7e_ard_3-2-1_093087_2022-01-18_final
2022-01-19 08:26:05	ga_ls7e_ard_3-2-1_093088_2022-01-18_final
2022-01-21 08:13:08	ga_ls7e_ard_3-2-1_091087_2022-01-20_final
2022-01-21 08:13:32	ga_ls7e_ard_3-2-1_091088_2022-01-20_final
2022-01-26 08:31:11	ga_ls7e_ard_3-2-1_094087_2022-01-25_final
2022-02-15 08:04:49	ga_ls7e_ard_3-2-1_090088_2022-02-14_final
2022-02-20 08:22:29	ga_ls7e_ard_3-2-1_093087_2022-02-19_final
2022-02-22 08:09:56	ga_ls7e_ard_3-2-1_091087_2022-02-21_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