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
2002-01-19 09:35:02	ga_ls7e_ard_3-0-0_094087_2002-01-19_final
2002-01-21 09:23:06	ga_ls7e_ard_3-0-0_092088_2002-01-20_final
2002-01-23 09:10:45	ga_ls7e_ard_3-0-0_090088_2002-01-22_final
2002-03-10 09:23:10	ga_ls7e_ard_3-0-0_092088_2002-03-09_final
2002-04-18 09:28:48	ga_ls7e_ard_3-1-0_093087_2002-04-17_final
2002-04-18 09:29:12	ga_ls7e_ard_3-0-0_093088_2002-04-17_final
2002-04-20 09:16:51	ga_ls7e_ard_3-0-0_091088_2002-04-19_final
2002-07-09 09:16:05	ga_ls7e_ard_3-0-0_091087_2002-07-08_final
2002-07-09 09:16:29	ga_ls7e_ard_3-0-0_091088_2002-07-08_final
2002-08-03 09:10:06	ga_ls7e_ard_3-0-0_090088_2002-08-02_final
2002-08-31 09:34:12	ga_ls7e_ard_3-0-0_094087_2002-08-31_final
2002-09-02 09:21:50	ga_ls7e_ard_3-0-0_092087_2002-09-01_final
2002-09-02 09:22:14	ga_ls7e_ard_3-0-0_092088_2002-09-01_final
2002-09-07 09:40:22	ga_ls7e_ard_3-0-0_095087_2002-09-07_final
2002-09-20 09:09:39	ga_ls7e_ard_3-0-0_090088_2002-09-19_final
2002-09-25 09:27:48	ga_ls7e_ard_3-1-0_093087_2002-09-24_final
2002-10-18 09:33:58	ga_ls7e_ard_3-0-0_094087_2002-10-18_final
2002-10-20 09:21:38	ga_ls7e_ard_3-0-0_092087_2002-10-19_final
2002-10-22 09:09:41	ga_ls7e_ard_3-0-0_090088_2002-10-21_final
2002-10-27 09:28:13	ga_ls7e_ard_3-0-0_093088_2002-10-26_final
2002-11-07 09:09:46	ga_ls7e_ard_3-0-0_090088_2002-11-06_final
2002-11-10 09:40:16	ga_ls7e_ard_3-0-0_095087_2002-11-10_final
2002-11-12 09:27:54	ga_ls7e_ard_3-0-0_093087_2002-11-11_final
2002-12-14 09:28:17	ga_ls7e_ard_3-0-0_093087_2002-12-13_final
2002-12-21 09:34:31	ga_ls7e_ard_3-0-0_094087_2002-12-21_final
2002-12-23 09:22:34	ga_ls7e_ard_3-0-0_092088_2002-12-22_final
2002-12-30 09:28:23	ga_ls7e_ard_3-1-0_093087_2002-12-29_final
2002-12-30 09:28:46	ga_ls7e_ard_3-0-0_093088_2002-12-29_final
2003-01-01 09:16:01	ga_ls7e_ard_3-0-0_091087_2002-12-31_final
2003-01-01 09:16:25	ga_ls7e_ard_3-0-0_091088_2002-12-31_final
2003-01-10 09:10:14	ga_ls7e_ard_3-0-0_090088_2003-01-09_final
2003-01-17 09:16:31	ga_ls7e_ard_3-0-0_091088_2003-01-16_final
2003-01-29 09:40:53	ga_ls7e_ard_3-0-0_095087_2003-01-29_final
2003-01-31 09:28:58	ga_ls7e_ard_3-0-0_093088_2003-01-30_final
2003-02-02 09:16:38	ga_ls7e_ard_3-0-0_091088_2003-02-01_final
2003-02-18 09:16:45	ga_ls7e_ard_3-0-0_091088_2003-02-17_final
2003-02-25 09:22:54	ga_ls7e_ard_3-0-0_092088_2003-02-24_final
2003-03-06 09:16:48	ga_ls7e_ard_3-0-0_091088_2003-03-05_final
2003-03-15 09:10:37	ga_ls7e_ard_3-0-0_090088_2003-03-14_final
2017-12-18 09:24:13	ga_ls7e_ard_3-0-0_090088_2017-12-17_final
2018-02-27 09:29:04	ga_ls7e_ard_3-0-0_091087_2018-02-26_final
2018-02-27 09:29:28	ga_ls7e_ard_3-0-0_091088_2018-02-26_final
2018-04-07 09:35:07	ga_ls7e_ard_3-0-0_092088_2018-04-07_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
2018-08-29 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
2018-09-12 09:44:12	ga_ls7e_ard_3-0-0_094087_2018-09-12_final
2018-09-14 09:31:48	ga_ls7e_ard_3-0-0_092087_2018-09-14_final
2018-09-14 09:32:12	ga_ls7e_ard_3-0-0_092088_2018-09-14_final
2018-09-21 09:38:13	ga_ls7e_ard_3-0-0_093088_2018-09-21_final
2018-10-07 09:37:26	ga_ls7e_ard_3-1-0_093087_2018-10-07_final
2018-10-09 09:25:25	ga_ls7e_ard_3-0-0_091088_2018-10-08_final
2018-10-25 09:24:39	ga_ls7e_ard_3-0-0_091087_2018-10-24_final
2018-11-19 09:18:18	ga_ls7e_ard_3-0-0_090088_2018-11-18_final
2018-11-26 09:24:19	ga_ls7e_ard_3-0-0_091088_2018-11-25_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
2019-01-13 09:22:32	ga_ls7e_ard_3-0-0_091087_2019-01-12_final
2019-01-13 09:22:56	ga_ls7e_ard_3-0-0_091088_2019-01-12_final
2019-02-12 09:34:21	ga_ls7e_ard_3-0-0_093088_2019-02-12_final
2019-02-14 09:21:32	ga_ls7e_ard_3-0-0_091087_2019-02-13_final
2019-02-14 09:21:56	ga_ls7e_ard_3-0-0_091088_2019-02-13_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 09:33:28	ga_ls7e_ard_3-1-0_093087_2019-02-28_final
2019-02-28 09:33:52	ga_ls7e_ard_3-1-0_093088_2019-02-28_final
2019-03-02 09:21:03	ga_ls7e_ard_3-1-0_091087_2019-03-01_final
2019-03-02 09:21:26	ga_ls7e_ard_3-1-0_091088_2019-03-01_final
2019-03-07 09:39:25	ga_ls7e_ard_3-1-0_094087_2019-03-07_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
2019-03-14 09:45:23	ga_ls7e_ard_3-1-0_095087_2019-03-14_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
2019-04-03 09:20:23	ga_ls7e_ard_3-0-0_091088_2019-04-02_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
2019-05-17 09:43:03	ga_ls7e_ard_3-0-0_095087_2019-05-17_final
2019-05-19 09:31:01	ga_ls7e_ard_3-0-0_093088_2019-05-19_final
2019-05-21 09:18:11	ga_ls7e_ard_3-0-0_091087_2019-05-20_final
2019-05-21 09:18:35	ga_ls7e_ard_3-0-0_091088_2019-05-20_final
2019-06-04 09:30:27	ga_ls7e_ard_3-0-0_093088_2019-06-04_final
2019-06-06 09:17:37	ga_ls7e_ard_3-0-0_091087_2019-06-05_final
2019-06-06 09:18:01	ga_ls7e_ard_3-0-0_091088_2019-06-05_final
2019-07-20 09:40:40	ga_ls7e_ard_3-0-0_095087_2019-07-20_final
2019-07-22 09:28:14	ga_ls7e_ard_3-1-0_093087_2019-07-21_final
2019-07-22 09:28:38	ga_ls7e_ard_3-0-0_093088_2019-07-21_final
2019-07-24 09:15:48	ga_ls7e_ard_3-0-0_091087_2019-07-23_final
2019-07-24 09:16:11	ga_ls7e_ard_3-0-0_091088_2019-07-23_final
2019-08-02 09:09:39	ga_ls7e_ard_3-0-0_090088_2019-08-01_final
2019-10-24 09:36:37	ga_ls7e_ard_3-1-0_095087_2019-10-24_final
2019-10-28 09:11:43	ga_ls7e_ard_3-1-0_091087_2019-10-27_final
2019-10-28 09:12:07	ga_ls7e_ard_3-1-0_091088_2019-10-27_final
2019-11-29 09:10:15	ga_ls7e_ard_3-1-0_091087_2019-11-28_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