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
2003-04-12 09:26:59	ga_ls7e_ard_3-1-0_094067_2003-04-11_final
2003-11-01 09:13:17	ga_ls7e_ard_3-0-0_091080_2003-10-31_final
2003-11-01 09:13:41	ga_ls7e_ard_3-1-0_091081_2003-10-31_final
2003-11-01 09:14:05	ga_ls7e_ard_3-0-0_091082_2003-10-31_final
2003-11-01 09:14:29	ga_ls7e_ard_3-0-0_091083_2003-10-31_final
2003-11-01 09:15:17	ga_ls7e_ard_3-0-0_091085_2003-10-31_final
2008-04-20 09:14:59	ga_ls7e_ard_3-0-0_091080_2008-04-19_final
2008-04-20 09:15:23	ga_ls7e_ard_3-0-0_091081_2008-04-19_final
2008-04-20 09:15:47	ga_ls7e_ard_3-0-0_091082_2008-04-19_final
2008-04-20 09:16:11	ga_ls7e_ard_3-0-0_091083_2008-04-19_final
2008-04-20 09:16:35	ga_ls7e_ard_3-0-0_091084_2008-04-19_final
2008-04-20 09:16:59	ga_ls7e_ard_3-0-0_091085_2008-04-19_final
2008-04-20 09:17:23	ga_ls7e_ard_3-1-0_091086_2008-04-19_final
2008-04-29 09:10:22	ga_ls7e_ard_3-0-0_090084_2008-04-28_final
2008-04-29 09:10:46	ga_ls7e_ard_3-1-0_090085_2008-04-28_final
2008-04-29 09:11:10	ga_ls7e_ard_3-0-0_090086_2008-04-28_final
2008-04-29 09:11:58	ga_ls7e_ard_3-1-0_090088_2008-04-28_final
2008-04-29 09:12:22	ga_ls7e_ard_3-0-0_090089_2008-04-28_final
2008-05-15 09:10:17	ga_ls7e_ard_3-0-0_090084_2008-05-14_final
2008-05-15 09:10:41	ga_ls7e_ard_3-1-0_090085_2008-05-14_final
2008-05-15 09:11:05	ga_ls7e_ard_3-0-0_090086_2008-05-14_final
2008-05-15 09:11:53	ga_ls7e_ard_3-0-0_090088_2008-05-14_final
2008-05-15 09:12:17	ga_ls7e_ard_3-0-0_090089_2008-05-14_final
2019-11-02 09:22:04	ga_ls7e_ard_3-1-0_094067_2019-11-01_final
2019-11-02 09:24:27	ga_ls7e_ard_3-1-0_094073_2019-11-01_final
2019-11-04 09:13:12	ga_ls7e_ard_3-1-0_092076_2019-11-03_final
2019-11-04 09:13:36	ga_ls7e_ard_3-1-0_092077_2019-11-03_final
2019-11-04 09:14:00	ga_ls7e_ard_3-1-0_092078_2019-11-03_final
2019-11-04 09:14:24	ga_ls7e_ard_3-1-0_092079_2019-11-03_final
2019-11-04 09:14:48	ga_ls7e_ard_3-1-0_092080_2019-11-03_final
2019-11-04 09:15:12	ga_ls7e_ard_3-1-0_092081_2019-11-03_final
2019-11-04 09:15:36	ga_ls7e_ard_3-1-0_092082_2019-11-03_final
2019-12-27 09:25:34	ga_ls7e_ard_3-1-0_095067_2019-12-26_final
2019-12-29 09:16:18	ga_ls7e_ard_3-1-0_093075_2019-12-28_final
2019-12-29 09:16:42	ga_ls7e_ard_3-1-0_093076_2019-12-28_final
2019-12-29 09:17:06	ga_ls7e_ard_3-1-0_093077_2019-12-28_final
2019-12-31 09:05:50	ga_ls7e_ard_3-1-0_091080_2019-12-30_final
2019-12-31 09:06:14	ga_ls7e_ard_3-1-0_091081_2019-12-30_final
2019-12-31 09:06:38	ga_ls7e_ard_3-1-0_091082_2019-12-30_final
2019-12-31 09:07:02	ga_ls7e_ard_3-1-0_091083_2019-12-30_final
2019-12-31 09:07:25	ga_ls7e_ard_3-1-0_091084_2019-12-30_final
2019-12-31 09:07:49	ga_ls7e_ard_3-1-0_091085_2019-12-30_final
2020-01-21 09:18:08	ga_ls7e_ard_3-1-0_094067_2020-01-20_final
2020-03-27 09:06:16	ga_ls7e_ard_3-1-0_092077_2020-03-26_final
2020-03-27 09:06:40	ga_ls7e_ard_3-1-0_092078_2020-03-26_final
2020-03-27 09:07:04	ga_ls7e_ard_3-1-0_092079_2020-03-26_final
2020-03-27 09:07:28	ga_ls7e_ard_3-1-0_092080_2020-03-26_final
2020-05-03 09:18:40	ga_ls7e_ard_3-1-0_095067_2020-05-02_final
2020-05-05 09:08:58	ga_ls7e_ard_3-1-0_093074_2020-05-04_final
2020-05-05 09:09:22	ga_ls7e_ard_3-1-0_093075_2020-05-04_final
2020-05-05 09:09:46	ga_ls7e_ard_3-1-0_093076_2020-05-04_final
2020-05-05 09:10:10	ga_ls7e_ard_3-1-0_093077_2020-05-04_final
2020-05-07 08:58:53	ga_ls7e_ard_3-1-0_091080_2020-05-06_final
2020-05-07 08:59:17	ga_ls7e_ard_3-1-0_091081_2020-05-06_final
2020-05-07 08:59:41	ga_ls7e_ard_3-1-0_091082_2020-05-06_final
2020-05-07 09:00:05	ga_ls7e_ard_3-1-0_091083_2020-05-06_final
2020-05-07 09:00:29	ga_ls7e_ard_3-1-0_091084_2020-05-06_final
2020-05-07 09:00:53	ga_ls7e_ard_3-1-0_091085_2020-05-06_final
2020-05-07 09:01:17	ga_ls7e_ard_3-1-0_091086_2020-05-06_final
2020-05-19 09:17:41	ga_ls7e_ard_3-1-0_095067_2020-05-18_final
2020-05-23 08:57:54	ga_ls7e_ard_3-1-0_091080_2020-05-22_final
2020-05-23 08:58:18	ga_ls7e_ard_3-1-0_091081_2020-05-22_final
2020-05-23 08:58:42	ga_ls7e_ard_3-1-0_091082_2020-05-22_final
2020-05-23 08:59:30	ga_ls7e_ard_3-1-0_091084_2020-05-22_final
2021-03-28 08:50:15	ga_ls7e_ard_3-2-0_094067_2021-03-27_final
2021-03-28 08:52:39	ga_ls7e_ard_3-2-0_094073_2021-03-27_final
2021-03-30 08:41:19	ga_ls7e_ard_3-2-0_092076_2021-03-29_final
2021-03-30 08:41:43	ga_ls7e_ard_3-2-0_092077_2021-03-29_final
2021-03-30 08:42:07	ga_ls7e_ard_3-2-0_092078_2021-03-29_final
2021-03-30 08:42:31	ga_ls7e_ard_3-2-0_092079_2021-03-29_final
2021-03-30 08:42:55	ga_ls7e_ard_3-2-0_092080_2021-03-29_final
2021-03-30 08:43:19	ga_ls7e_ard_3-2-0_092081_2021-03-29_final
2021-03-30 08:43:43	ga_ls7e_ard_3-2-0_092082_2021-03-29_final
2021-04-01 08:31:59	ga_ls7e_ard_3-2-0_090084_2021-03-31_final
2021-04-01 08:32:23	ga_ls7e_ard_3-2-0_090085_2021-03-31_final
2021-04-01 08:32:47	ga_ls7e_ard_3-2-0_090086_2021-03-31_final
2021-04-01 08:33:35	ga_ls7e_ard_3-2-0_090088_2021-03-31_final
2021-04-01 08:33:59	ga_ls7e_ard_3-2-0_090089_2021-03-31_final
2021-04-01 08:34:23	ga_ls7e_ard_3-2-0_090090_2021-03-31_final
2021-04-06 08:46:07	ga_ls7e_ard_3-2-0_093074_2021-04-05_final
2021-04-06 08:46:31	ga_ls7e_ard_3-2-0_093075_2021-04-05_final
2021-04-08 08:36:23	ga_ls7e_ard_3-2-0_091081_2021-04-07_final
2021-04-08 08:36:47	ga_ls7e_ard_3-2-0_091082_2021-04-07_final
2021-04-08 08:37:11	ga_ls7e_ard_3-2-0_091083_2021-04-07_final
2021-04-08 08:37:35	ga_ls7e_ard_3-2-0_091084_2021-04-07_final
2021-04-08 08:37:59	ga_ls7e_ard_3-2-0_091085_2021-04-07_final
2021-04-08 08:38:23	ga_ls7e_ard_3-2-0_091086_2021-04-07_final
2021-04-13 08:48:56	ga_ls7e_ard_3-2-0_094067_2021-04-12_final
2021-04-13 08:51:19	ga_ls7e_ard_3-2-0_094073_2021-04-12_final
2021-05-08 08:43:26	ga_ls7e_ard_3-2-0_093074_2021-05-07_final
2021-05-08 08:43:50	ga_ls7e_ard_3-2-0_093075_2021-05-07_final
2021-05-08 08:44:14	ga_ls7e_ard_3-2-0_093076_2021-05-07_final
2021-05-08 08:44:38	ga_ls7e_ard_3-2-0_093077_2021-05-07_final
2021-05-08 08:45:02	ga_ls7e_ard_3-2-0_093078_2021-05-07_final
2021-05-10 08:33:18	ga_ls7e_ard_3-2-0_091080_2021-05-09_final
2021-05-10 08:33:42	ga_ls7e_ard_3-2-0_091081_2021-05-09_final
2021-05-10 08:34:06	ga_ls7e_ard_3-2-0_091082_2021-05-09_final
2021-05-10 08:34:30	ga_ls7e_ard_3-2-0_091083_2021-05-09_final
2021-05-10 08:34:54	ga_ls7e_ard_3-2-0_091084_2021-05-09_final
2021-05-10 08:35:18	ga_ls7e_ard_3-2-0_091085_2021-05-09_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