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
2005-03-20 09:10:47	ga_ls7e_ard_3-0-0_090086_2005-03-19_final
2005-03-23 09:41:41	ga_ls7e_ard_3-0-0_095086_2005-03-23_final
2005-03-29 09:04:35	ga_ls7e_ard_3-0-0_089086_2005-03-28_final
2005-03-30 09:47:50	ga_ls7e_ard_3-1-0_096086_2005-03-30_final
2005-04-01 09:35:28	ga_ls7e_ard_3-0-0_094086_2005-04-01_final
2005-04-01 09:35:52	ga_ls7e_ard_3-0-0_094087_2005-04-01_final
2005-04-05 09:10:44	ga_ls7e_ard_3-0-0_090086_2005-04-04_final
2005-04-19 09:22:59	ga_ls7e_ard_3-0-0_092086_2005-04-18_final
2005-04-19 09:23:23	ga_ls7e_ard_3-0-0_092087_2005-04-18_final
2005-04-21 09:10:37	ga_ls7e_ard_3-0-0_090086_2005-04-20_final
2005-04-28 09:16:50	ga_ls7e_ard_3-1-0_091086_2005-04-27_final
2005-04-28 09:17:14	ga_ls7e_ard_3-0-0_091087_2005-04-27_final
2005-04-30 09:04:29	ga_ls7e_ard_3-0-0_089086_2005-04-29_final
2005-05-01 09:47:45	ga_ls7e_ard_3-1-0_096086_2005-05-01_final
2005-05-23 09:10:41	ga_ls7e_ard_3-0-0_090086_2005-05-22_final
2005-06-04 09:35:21	ga_ls7e_ard_3-0-0_094086_2005-06-04_final
2005-06-04 09:35:45	ga_ls7e_ard_3-0-0_094087_2005-06-04_final
2005-06-06 09:22:58	ga_ls7e_ard_3-0-0_092086_2005-06-05_final
2005-06-06 09:23:22	ga_ls7e_ard_3-0-0_092087_2005-06-05_final
2005-06-11 09:41:28	ga_ls7e_ard_3-0-0_095086_2005-06-11_final
2005-06-11 09:41:52	ga_ls7e_ard_3-0-0_095087_2005-06-11_final
2005-06-13 09:29:05	ga_ls7e_ard_3-0-0_093086_2005-06-12_final
2005-06-13 09:29:29	ga_ls7e_ard_3-0-0_093087_2005-06-12_final
2005-06-15 09:16:43	ga_ls7e_ard_3-1-0_091086_2005-06-14_final
2005-06-15 09:17:07	ga_ls7e_ard_3-0-0_091087_2005-06-14_final
2005-06-24 09:10:30	ga_ls7e_ard_3-0-0_090086_2005-06-23_final
2005-06-27 09:41:23	ga_ls7e_ard_3-0-0_095086_2005-06-27_final
2005-06-27 09:41:47	ga_ls7e_ard_3-0-0_095087_2005-06-27_final
2005-06-29 09:29:01	ga_ls7e_ard_3-0-0_093086_2005-06-28_final
2005-06-29 09:29:25	ga_ls7e_ard_3-0-0_093087_2005-06-28_final
2005-07-01 09:16:40	ga_ls7e_ard_3-1-0_091086_2005-06-30_final
2005-07-03 09:04:19	ga_ls7e_ard_3-0-0_089086_2005-07-02_final
2005-07-04 09:47:35	ga_ls7e_ard_3-1-0_096086_2005-07-04_final
2005-07-17 09:16:42	ga_ls7e_ard_3-1-0_091086_2005-07-16_final
2005-07-17 09:17:06	ga_ls7e_ard_3-0-0_091087_2005-07-16_final
2005-08-25 09:22:43	ga_ls7e_ard_3-0-0_092086_2005-08-24_final
2005-08-25 09:23:07	ga_ls7e_ard_3-0-0_092087_2005-08-24_final
2005-08-27 09:10:20	ga_ls7e_ard_3-0-0_090086_2005-08-26_final
2005-09-06 09:47:19	ga_ls7e_ard_3-1-0_096086_2005-09-06_final
2005-09-08 09:34:56	ga_ls7e_ard_3-0-0_094086_2005-09-08_final
2005-09-08 09:35:20	ga_ls7e_ard_3-0-0_094087_2005-09-08_final
2005-10-12 09:22:55	ga_ls7e_ard_3-0-0_092087_2005-10-11_final
2005-10-28 09:22:45	ga_ls7e_ard_3-0-0_092086_2005-10-27_final
2005-10-28 09:23:09	ga_ls7e_ard_3-0-0_092087_2005-10-27_final
2005-11-02 09:41:21	ga_ls7e_ard_3-0-0_095086_2005-11-02_final
2005-11-02 09:41:45	ga_ls7e_ard_3-0-0_095087_2005-11-02_final
2018-01-31 09:47:31	ga_ls7e_ard_3-0-0_094086_2018-01-31_final
2018-01-31 09:47:55	ga_ls7e_ard_3-0-0_094087_2018-01-31_final
2018-02-02 09:35:08	ga_ls7e_ard_3-0-0_092086_2018-02-02_final
2018-02-02 09:35:32	ga_ls7e_ard_3-0-0_092087_2018-02-02_final
2018-02-16 09:47:43	ga_ls7e_ard_3-0-0_094087_2018-02-16_final
2018-02-18 09:34:56	ga_ls7e_ard_3-0-0_092086_2018-02-18_final
2018-02-18 09:35:20	ga_ls7e_ard_3-0-0_092087_2018-02-18_final
2018-04-16 09:28:00	ga_ls7e_ard_3-1-0_091086_2018-04-15_final
2018-04-21 09:46:51	ga_ls7e_ard_3-0-0_094087_2018-04-21_final
2018-08-02 09:50:48	ga_ls7e_ard_3-0-0_095086_2018-08-02_final
2018-08-02 09:51:12	ga_ls7e_ard_3-0-0_095087_2018-08-02_final
2018-08-22 09:26:06	ga_ls7e_ard_3-0-0_091087_2018-08-21_final
2018-08-24 09:13:18	ga_ls7e_ard_3-0-0_089086_2018-08-23_final
2018-08-27 09:44:33	ga_ls7e_ard_3-0-0_094087_2018-08-27_final
2019-01-09 09:46:58	ga_ls7e_ard_3-0-0_095086_2019-01-09_final
2019-01-11 09:34:33	ga_ls7e_ard_3-0-0_093086_2019-01-11_final
2019-01-11 09:34:57	ga_ls7e_ard_3-1-0_093087_2019-01-11_final
2019-01-13 09:22:08	ga_ls7e_ard_3-1-0_091086_2019-01-12_final
2019-01-13 09:22:32	ga_ls7e_ard_3-0-0_091087_2019-01-12_final
2019-01-15 09:09:42	ga_ls7e_ard_3-1-0_089086_2019-01-14_final
2019-02-03 09:40:00	ga_ls7e_ard_3-0-0_094086_2019-02-03_final
2019-02-03 09:40:24	ga_ls7e_ard_3-0-0_094087_2019-02-03_final
2019-02-05 09:27:35	ga_ls7e_ard_3-0-0_092086_2019-02-04_final
2019-02-26 09:45:29	ga_ls7e_ard_3-1-0_095086_2019-02-26_final
2019-02-28 09:33:04	ga_ls7e_ard_3-1-0_093086_2019-02-28_final
2019-02-28 09:33:28	ga_ls7e_ard_3-1-0_093087_2019-02-28_final
2019-03-02 09:20:39	ga_ls7e_ard_3-1-0_091086_2019-03-01_final
2019-03-02 09:21:03	ga_ls7e_ard_3-1-0_091087_2019-03-01_final
2019-03-30 09:44:26	ga_ls7e_ard_3-0-0_095086_2019-03-30_final
2019-04-01 09:32:01	ga_ls7e_ard_3-0-0_093086_2019-04-01_final
2019-05-01 09:43:17	ga_ls7e_ard_3-0-0_095086_2019-05-01_final
2019-05-01 09:43:41	ga_ls7e_ard_3-0-0_095087_2019-05-01_final
2019-05-03 09:30:51	ga_ls7e_ard_3-0-0_093086_2019-05-03_final
2019-05-03 09:31:15	ga_ls7e_ard_3-0-0_093087_2019-05-03_final
2019-05-05 09:18:25	ga_ls7e_ard_3-1-0_091086_2019-05-04_final
2019-05-05 09:18:48	ga_ls7e_ard_3-0-0_091087_2019-05-04_final
2019-05-21 09:17:47	ga_ls7e_ard_3-1-0_091086_2019-05-20_final
2019-05-21 09:18:11	ga_ls7e_ard_3-0-0_091087_2019-05-20_final
2019-05-23 09:05:21	ga_ls7e_ard_3-0-0_089086_2019-05-22_final
2019-06-06 09:17:13	ga_ls7e_ard_3-1-0_091086_2019-06-05_final
2019-06-06 09:17:37	ga_ls7e_ard_3-0-0_091087_2019-06-05_final
2019-06-08 09:04:47	ga_ls7e_ard_3-0-0_089086_2019-06-07_final
2019-06-24 09:04:12	ga_ls7e_ard_3-0-0_089086_2019-06-23_final
2019-06-25 09:47:25	ga_ls7e_ard_3-1-0_096086_2019-06-25_final
2019-06-27 09:34:59	ga_ls7e_ard_3-0-0_094086_2019-06-27_final
2019-06-27 09:35:23	ga_ls7e_ard_3-0-0_094087_2019-06-27_final
2019-07-01 09:10:07	ga_ls7e_ard_3-0-0_090086_2019-06-30_final
2019-08-27 09:01:38	ga_ls7e_ard_3-1-0_089086_2019-08-26_final
2019-08-30 09:32:24	ga_ls7e_ard_3-1-0_094086_2019-08-30_final
2019-08-30 09:32:48	ga_ls7e_ard_3-1-0_094087_2019-08-30_final
2019-09-01 09:19:57	ga_ls7e_ard_3-1-0_092086_2019-08-31_final
2019-12-11 09:33:58	ga_ls7e_ard_3-1-0_095086_2019-12-11_final
2019-12-13 09:21:31	ga_ls7e_ard_3-1-0_093086_2019-12-12_final
2019-12-15 09:09:03	ga_ls7e_ard_3-1-0_091086_2019-12-14_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