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:

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First 100 results (query limit)

Time (local)	Label
2007-11-26 09:30:38	ga_ls7e_ard_3-0-0_093088_2007-11-26_final
2007-11-28 09:18:17	ga_ls7e_ard_3-0-0_091088_2007-11-27_final
2018-04-25 09:22:28	ga_ls7e_ard_3-0-0_090088_2018-04-24_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 09:34:19	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
2018-06-01 09:40:23	ga_ls7e_ard_3-0-0_093088_2018-06-01_final
2018-06-03 09:28:00	ga_ls7e_ard_3-0-0_091088_2018-06-02_final
2018-06-10 09:34:03	ga_ls7e_ard_3-0-0_092088_2018-06-10_final
2018-06-17 09:40:06	ga_ls7e_ard_3-0-0_093088_2018-06-17_final
2018-06-19 09:27:42	ga_ls7e_ard_3-0-0_091088_2018-06-18_final
2018-06-26 09:33:45	ga_ls7e_ard_3-0-0_092088_2018-06-26_final
2018-06-28 09:21:21	ga_ls7e_ard_3-0-0_090088_2018-06-27_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
2018-07-21 09:27:06	ga_ls7e_ard_3-0-0_091088_2018-07-20_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
2018-08-15 09:20:28	ga_ls7e_ard_3-0-0_090088_2018-08-14_final
2018-08-22 09:26:30	ga_ls7e_ard_3-0-0_091088_2018-08-21_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
2018-09-14 09:32:12	ga_ls7e_ard_3-0-0_092088_2018-09-14_final
2018-09-16 09:19:47	ga_ls7e_ard_3-0-0_090088_2018-09-15_final
2018-09-21 09:38:13	ga_ls7e_ard_3-0-0_093088_2018-09-21_final
2018-09-23 09:25:49	ga_ls7e_ard_3-0-0_091088_2018-09-22_final
2018-10-02 09:19:25	ga_ls7e_ard_3-0-0_090088_2018-10-01_final
2018-10-09 09:25:25	ga_ls7e_ard_3-0-0_091088_2018-10-08_final
2018-11-19 09:18:18	ga_ls7e_ard_3-0-0_090088_2018-11-18_final
2018-12-05 09:17:54	ga_ls7e_ard_3-0-0_090088_2018-12-04_final
2018-12-12 09:23:53	ga_ls7e_ard_3-0-0_091088_2018-12-11_final
2018-12-26 09:35:50	ga_ls7e_ard_3-0-0_093088_2018-12-26_final
2019-01-06 09:16:58	ga_ls7e_ard_3-0-0_090088_2019-01-05_final
2019-01-11 09:35:21	ga_ls7e_ard_3-0-0_093088_2019-01-11_final
2019-01-22 09:16:27	ga_ls7e_ard_3-0-0_090088_2019-01-21_final
2019-02-21 09:27:54	ga_ls7e_ard_3-1-0_092088_2019-02-20_final
2019-02-23 09:15:29	ga_ls7e_ard_3-1-0_090088_2019-02-22_final
2019-02-28 09:33:52	ga_ls7e_ard_3-1-0_093088_2019-02-28_final
2019-04-19 09:19:48	ga_ls7e_ard_3-0-0_091088_2019-04-18_final
2019-04-26 09:25:44	ga_ls7e_ard_3-0-0_092088_2019-04-25_final
2019-04-28 09:13:18	ga_ls7e_ard_3-0-0_090088_2019-04-27_final
2019-05-03 09:31:39	ga_ls7e_ard_3-0-0_093088_2019-05-03_final
2019-05-05 09:18:48	ga_ls7e_ard_3-0-0_091087_2019-05-04_final
2019-05-05 09:19:12	ga_ls7e_ard_3-0-0_091088_2019-05-04_final
2019-05-12 09:25:07	ga_ls7e_ard_3-0-0_092088_2019-05-11_final
2019-05-14 09:12:41	ga_ls7e_ard_3-0-0_090088_2019-05-13_final
2019-05-19 09:31:01	ga_ls7e_ard_3-0-0_093088_2019-05-19_final
2019-05-21 09:18:35	ga_ls7e_ard_3-0-0_091088_2019-05-20_final
2019-05-30 09:12:05	ga_ls7e_ard_3-0-0_090088_2019-05-29_final
2019-06-13 09:23:33	ga_ls7e_ard_3-0-0_092087_2019-06-12_final
2019-06-13 09:23:56	ga_ls7e_ard_3-0-0_092088_2019-06-12_final
2019-06-20 09:29:52	ga_ls7e_ard_3-1-0_093088_2019-06-19_final
2019-06-22 09:17:26	ga_ls7e_ard_3-0-0_091088_2019-06-21_final
2019-07-06 09:29:16	ga_ls7e_ard_3-0-0_093088_2019-07-05_final
2019-07-08 09:16:49	ga_ls7e_ard_3-0-0_091088_2019-07-07_final
2019-07-22 09:28:38	ga_ls7e_ard_3-0-0_093088_2019-07-21_final
2019-07-24 09:16:11	ga_ls7e_ard_3-0-0_091088_2019-07-23_final
2019-07-31 09:22:05	ga_ls7e_ard_3-0-0_092088_2019-07-30_final
2019-08-02 09:09:39	ga_ls7e_ard_3-0-0_090088_2019-08-01_final
2019-08-07 09:27:59	ga_ls7e_ard_3-0-0_093088_2019-08-06_final
2019-08-09 09:15:32	ga_ls7e_ard_3-0-0_091088_2019-08-08_final
2019-08-18 09:08:59	ga_ls7e_ard_3-0-0_090088_2019-08-17_final
2019-08-25 09:14:52	ga_ls7e_ard_3-1-0_091088_2019-08-24_final
2019-09-03 09:08:18	ga_ls7e_ard_3-1-0_090088_2019-09-02_final
2019-09-10 09:14:11	ga_ls7e_ard_3-1-0_091088_2019-09-09_final
2019-09-19 09:07:36	ga_ls7e_ard_3-1-0_090088_2019-09-18_final
2019-09-24 09:25:55	ga_ls7e_ard_3-1-0_093088_2019-09-23_final
2019-09-26 09:13:28	ga_ls7e_ard_3-1-0_091088_2019-09-25_final
2019-10-08 09:37:18	ga_ls7e_ard_3-1-0_095087_2019-10-08_final
2019-10-10 09:25:15	ga_ls7e_ard_3-1-0_093088_2019-10-09_final
2019-10-12 09:12:49	ga_ls7e_ard_3-1-0_091088_2019-10-11_final
2019-10-21 09:06:15	ga_ls7e_ard_3-1-0_090088_2019-10-20_final
2019-11-11 09:23:27	ga_ls7e_ard_3-1-0_093087_2019-11-10_final
2019-11-13 09:11:24	ga_ls7e_ard_3-1-0_091088_2019-11-12_final
2020-01-25 09:01:35	ga_ls7e_ard_3-1-0_090088_2020-01-24_final
2020-01-30 09:19:53	ga_ls7e_ard_3-1-0_093088_2020-01-29_final
2020-02-08 09:12:50	ga_ls7e_ard_3-1-0_092087_2020-02-07_final
2020-02-08 09:13:14	ga_ls7e_ard_3-1-0_092088_2020-02-07_final
2020-03-02 09:17:49	ga_ls7e_ard_3-1-0_093087_2020-03-01_final
2020-03-02 09:18:13	ga_ls7e_ard_3-1-0_093088_2020-03-01_final
2020-03-04 09:05:21	ga_ls7e_ard_3-1-0_091087_2020-03-03_final
2020-03-04 09:05:45	ga_ls7e_ard_3-1-0_091088_2020-03-03_final
2020-03-11 09:11:33	ga_ls7e_ard_3-1-0_092088_2020-03-10_final
2020-03-20 09:04:28	ga_ls7e_ard_3-1-0_091087_2020-03-19_final
2020-03-20 09:04:52	ga_ls7e_ard_3-1-0_091088_2020-03-19_final
2020-04-14 08:57:16	ga_ls7e_ard_3-1-0_090088_2020-04-13_final
2020-04-17 09:27:36	ga_ls7e_ard_3-1-0_095087_2020-04-16_final
2020-04-19 09:15:07	ga_ls7e_ard_3-1-0_093087_2020-04-18_final
2020-04-19 09:15:31	ga_ls7e_ard_3-1-0_093088_2020-04-18_final
2020-04-21 09:02:38	ga_ls7e_ard_3-1-0_091087_2020-04-20_final
2020-04-21 09:03:02	ga_ls7e_ard_3-1-0_091088_2020-04-20_final
2020-04-28 09:08:24	ga_ls7e_ard_3-1-0_092087_2020-04-27_final
2020-04-28 09:08:48	ga_ls7e_ard_3-1-0_092088_2020-04-27_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

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