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
2002-03-08 09:35:08	ga_ls7e_ard_3-0-0_094087_2002-03-08_final
2002-03-10 09:22:46	ga_ls7e_ard_3-0-0_092087_2002-03-09_final
2002-03-31 09:41:11	ga_ls7e_ard_3-0-0_095087_2002-03-31_final
2002-04-02 09:28:47	ga_ls7e_ard_3-1-0_093087_2002-04-01_final
2002-06-07 09:16:15	ga_ls7e_ard_3-0-0_091087_2002-06-06_final
2002-07-14 09:34:35	ga_ls7e_ard_3-0-0_094087_2002-07-14_final
2002-07-16 09:22:12	ga_ls7e_ard_3-0-0_092087_2002-07-15_final
2014-03-09 09:43:01	ga_ls7e_ard_3-0-0_094087_2014-03-09_final
2014-03-18 09:36:55	ga_ls7e_ard_3-1-0_093087_2014-03-18_final
2014-04-01 09:49:22	ga_ls7e_ard_3-0-0_095087_2014-04-01_final
2014-04-05 09:24:39	ga_ls7e_ard_3-0-0_091087_2014-04-04_final
2014-04-28 09:31:04	ga_ls7e_ard_3-0-0_092087_2014-04-28_final
2014-05-05 09:37:15	ga_ls7e_ard_3-1-0_093087_2014-05-05_final
2014-05-12 09:43:30	ga_ls7e_ard_3-0-0_094087_2014-05-12_final
2014-05-14 09:31:09	ga_ls7e_ard_3-0-0_092087_2014-05-14_final
2014-06-06 09:37:26	ga_ls7e_ard_3-1-0_093087_2014-06-06_final
2014-06-08 09:25:05	ga_ls7e_ard_3-0-0_091087_2014-06-07_final
2014-06-15 09:31:15	ga_ls7e_ard_3-0-0_092087_2014-06-15_final
2014-06-29 09:43:42	ga_ls7e_ard_3-0-0_094087_2014-06-29_final
2014-07-01 09:31:21	ga_ls7e_ard_3-0-0_092087_2014-07-01_final
2014-07-17 09:31:22	ga_ls7e_ard_3-0-0_092087_2014-07-17_final
2014-07-31 09:43:50	ga_ls7e_ard_3-0-0_094087_2014-07-31_final
2014-08-02 09:31:29	ga_ls7e_ard_3-0-0_092087_2014-08-02_final
2014-08-09 09:37:41	ga_ls7e_ard_3-0-0_093087_2014-08-09_final
2014-08-11 09:25:19	ga_ls7e_ard_3-0-0_091087_2014-08-10_final
2014-08-16 09:43:51	ga_ls7e_ard_3-0-0_094087_2014-08-16_final
2014-08-27 09:25:16	ga_ls7e_ard_3-0-0_091087_2014-08-26_final
2014-09-03 09:31:29	ga_ls7e_ard_3-0-0_092087_2014-09-03_final
2014-09-12 09:25:17	ga_ls7e_ard_3-0-0_091087_2014-09-11_final
2018-01-06 09:54:29	ga_ls7e_ard_3-0-0_095087_2018-01-06_final
2018-01-08 09:42:06	ga_ls7e_ard_3-1-0_093087_2018-01-08_final
2018-01-17 09:35:47	ga_ls7e_ard_3-0-0_092087_2018-01-17_final
2018-01-24 09:41:51	ga_ls7e_ard_3-1-0_093087_2018-01-24_final
2018-02-07 09:53:59	ga_ls7e_ard_3-0-0_095087_2018-02-07_final
2018-02-27 09:29:04	ga_ls7e_ard_3-0-0_091087_2018-02-26_final
2018-03-13 09:41:16	ga_ls7e_ard_3-0-0_093087_2018-03-13_final
2018-03-15 09:28:52	ga_ls7e_ard_3-0-0_091087_2018-03-14_final
2018-03-29 09:41:03	ga_ls7e_ard_3-1-0_093087_2018-03-29_final
2018-03-31 09:28:39	ga_ls7e_ard_3-0-0_091087_2018-03-30_final
2018-04-12 09:53:11	ga_ls7e_ard_3-0-0_095087_2018-04-12_final
2018-04-28 09:52:54	ga_ls7e_ard_3-0-0_095087_2018-04-28_final
2018-04-30 09:40:31	ga_ls7e_ard_3-0-0_093087_2018-04-30_final
2018-06-17 09:39:42	ga_ls7e_ard_3-1-0_093087_2018-06-17_final
2018-07-19 09:39:05	ga_ls7e_ard_3-1-0_093087_2018-07-19_final
2018-08-02 09:51:12	ga_ls7e_ard_3-0-0_095087_2018-08-02_final
2018-08-04 09:38:48	ga_ls7e_ard_3-0-0_093087_2018-08-04_final
2018-08-13 09:32:28	ga_ls7e_ard_3-0-0_092087_2018-08-13_final
2018-09-30 09:31:25	ga_ls7e_ard_3-0-0_092087_2018-09-30_final
2019-03-07 09:39:25	ga_ls7e_ard_3-1-0_094087_2019-03-07_final
2019-04-10 09:25:55	ga_ls7e_ard_3-0-0_092087_2019-04-09_final
2019-07-04 09:41:18	ga_ls7e_ard_3-0-0_095087_2019-07-04_final
2019-07-06 09:28:52	ga_ls7e_ard_3-1-0_093087_2019-07-05_final
2019-09-22 09:37:58	ga_ls7e_ard_3-1-0_095087_2019-09-22_final
2019-09-24 09:25:31	ga_ls7e_ard_3-1-0_093087_2019-09-23_final
2019-10-19 09:18:18	ga_ls7e_ard_3-1-0_092087_2019-10-18_final
2019-10-28 09:11:19	ga_ls7e_ard_3-1-0_091086_2019-10-27_final
2019-10-28 09:11:43	ga_ls7e_ard_3-1-0_091087_2019-10-27_final
2019-11-06 09:04:44	ga_ls7e_ard_3-1-0_090086_2019-11-05_final
2019-11-11 09:23:03	ga_ls7e_ard_3-1-0_093086_2019-11-10_final
2019-11-11 09:23:27	ga_ls7e_ard_3-1-0_093087_2019-11-10_final
2019-11-13 09:11:00	ga_ls7e_ard_3-1-0_091087_2019-11-12_final
2019-11-18 09:28:54	ga_ls7e_ard_3-1-0_094086_2019-11-17_final
2019-11-18 09:29:18	ga_ls7e_ard_3-1-0_094087_2019-11-17_final
2019-11-20 09:16:51	ga_ls7e_ard_3-1-0_092087_2019-11-19_final
2019-11-22 09:04:00	ga_ls7e_ard_3-1-0_090086_2019-11-21_final
2019-11-29 09:10:15	ga_ls7e_ard_3-1-0_091087_2019-11-28_final
2019-12-01 08:57:23	ga_ls7e_ard_3-1-0_089086_2019-11-30_final
2020-01-07 09:14:02	ga_ls7e_ard_3-1-0_092086_2020-01-06_final
2020-01-09 09:01:34	ga_ls7e_ard_3-1-0_090086_2020-01-08_final
2020-02-06 09:25:18	ga_ls7e_ard_3-1-0_094087_2020-02-05_final
2020-02-08 09:12:26	ga_ls7e_ard_3-1-0_092086_2020-02-07_final
2020-02-08 09:12:50	ga_ls7e_ard_3-1-0_092087_2020-02-07_final
2020-03-02 09:17:49	ga_ls7e_ard_3-1-0_093087_2020-03-01_final
2020-03-04 09:05:21	ga_ls7e_ard_3-1-0_091087_2020-03-03_final
2020-03-07 09:35:41	ga_ls7e_ard_3-1-0_096086_2020-03-07_final
2020-03-16 09:29:01	ga_ls7e_ard_3-1-0_095086_2020-03-15_final
2020-03-16 09:29:25	ga_ls7e_ard_3-1-0_095087_2020-03-15_final
2020-03-18 09:16:32	ga_ls7e_ard_3-1-0_093086_2020-03-17_final
2020-03-20 09:04:04	ga_ls7e_ard_3-1-0_091086_2020-03-19_final
2020-03-20 09:04:28	ga_ls7e_ard_3-1-0_091087_2020-03-19_final
2020-03-29 08:57:23	ga_ls7e_ard_3-1-0_090086_2020-03-28_final
2020-04-14 08:56:28	ga_ls7e_ard_3-1-0_090086_2020-04-13_final
2020-04-21 09:02:14	ga_ls7e_ard_3-1-0_091086_2020-04-20_final
2020-04-21 09:02:38	ga_ls7e_ard_3-1-0_091087_2020-04-20_final
2020-04-23 08:49:46	ga_ls7e_ard_3-1-0_089086_2020-04-22_final
2020-04-26 09:20:53	ga_ls7e_ard_3-1-0_094087_2020-04-25_final
2020-04-28 09:08:00	ga_ls7e_ard_3-1-0_092086_2020-04-27_final
2020-04-28 09:08:24	ga_ls7e_ard_3-1-0_092087_2020-04-27_final
2020-05-09 08:48:48	ga_ls7e_ard_3-1-0_089086_2020-05-08_final
2020-05-12 09:19:31	ga_ls7e_ard_3-1-0_094086_2020-05-11_final
2020-05-12 09:19:55	ga_ls7e_ard_3-1-0_094087_2020-05-11_final
2020-05-14 09:07:02	ga_ls7e_ard_3-1-0_092086_2020-05-13_final
2020-06-01 08:53:35	ga_ls7e_ard_3-1-0_090086_2020-05-31_final
2020-06-10 08:46:53	ga_ls7e_ard_3-1-0_089086_2020-06-09_final
2020-06-13 09:17:36	ga_ls7e_ard_3-1-0_094086_2020-06-12_final
2020-06-15 09:05:32	ga_ls7e_ard_3-1-0_092087_2020-06-14_final
2020-06-29 09:16:40	ga_ls7e_ard_3-1-0_094086_2020-06-28_final
2020-06-29 09:17:04	ga_ls7e_ard_3-1-0_094087_2020-06-28_final
2020-07-01 09:04:11	ga_ls7e_ard_3-1-0_092086_2020-06-30_final
2020-07-01 09:04:35	ga_ls7e_ard_3-1-0_092087_2020-06-30_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