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
1999-08-09 09:21:58	ga_ls7e_ard_3-0-0_092075_1999-08-08_final
1999-08-25 09:21:58	ga_ls7e_ard_3-0-0_092075_1999-08-24_final
1999-08-25 09:22:22	ga_ls7e_ard_3-0-0_092076_1999-08-24_final
1999-08-25 09:22:46	ga_ls7e_ard_3-0-0_092077_1999-08-24_final
1999-08-25 09:23:10	ga_ls7e_ard_3-0-0_092078_1999-08-24_final
1999-11-22 09:17:17	ga_ls7e_ard_3-0-0_091079_1999-11-21_final
1999-11-22 09:17:41	ga_ls7e_ard_3-0-0_091080_1999-11-21_final
1999-11-22 09:18:05	ga_ls7e_ard_3-0-0_091081_1999-11-21_final
1999-11-22 09:18:29	ga_ls7e_ard_3-0-0_091082_1999-11-21_final
1999-11-24 09:07:16	ga_ls7e_ard_3-0-0_089085_1999-11-23_final
1999-11-24 09:07:40	ga_ls7e_ard_3-0-0_089086_1999-11-23_final
1999-11-24 09:08:52	ga_ls7e_ard_3-0-0_089089_1999-11-23_final
1999-11-24 09:09:16	ga_ls7e_ard_3-0-0_089090_1999-11-23_final
1999-11-29 09:21:50	ga_ls7e_ard_3-0-0_092075_1999-11-28_final
1999-11-29 09:22:14	ga_ls7e_ard_3-0-0_092076_1999-11-28_final
1999-11-29 09:22:38	ga_ls7e_ard_3-0-0_092077_1999-11-28_final
1999-11-29 09:23:02	ga_ls7e_ard_3-0-0_092078_1999-11-28_final
2000-02-10 09:16:24	ga_ls7e_ard_3-0-0_091077_2000-02-09_final
2000-02-10 09:16:48	ga_ls7e_ard_3-0-0_091078_2000-02-09_final
2000-02-10 09:17:12	ga_ls7e_ard_3-0-0_091079_2000-02-09_final
2000-02-10 09:17:36	ga_ls7e_ard_3-0-0_091080_2000-02-09_final
2000-02-10 09:18:00	ga_ls7e_ard_3-0-0_091081_2000-02-09_final
2000-02-10 09:18:24	ga_ls7e_ard_3-0-0_091082_2000-02-09_final
2001-07-06 09:15:02	ga_ls7e_ard_3-0-0_091082_2001-07-05_final
2001-07-08 09:03:53	ga_ls7e_ard_3-0-0_089085_2001-07-07_final
2001-09-08 09:14:16	ga_ls7e_ard_3-0-0_091082_2001-09-07_final
2001-09-10 09:03:05	ga_ls7e_ard_3-0-0_089085_2001-09-09_final
2001-09-10 09:03:29	ga_ls7e_ard_3-0-0_089086_2001-09-09_final
2001-09-10 09:04:41	ga_ls7e_ard_3-0-0_089089_2001-09-09_final
2001-09-10 09:05:05	ga_ls7e_ard_3-0-0_089090_2001-09-09_final
2001-12-04 09:17:32	ga_ls7e_ard_3-0-0_092075_2001-12-03_final
2001-12-04 09:17:56	ga_ls7e_ard_3-0-0_092076_2001-12-03_final
2001-12-04 09:18:20	ga_ls7e_ard_3-0-0_092077_2001-12-03_final
2001-12-04 09:18:44	ga_ls7e_ard_3-0-0_092078_2001-12-03_final
2017-12-18 09:21:26	ga_ls7e_ard_3-0-0_090081_2017-12-17_final
2017-12-18 09:21:50	ga_ls7e_ard_3-0-0_090082_2017-12-17_final
2017-12-18 09:22:14	ga_ls7e_ard_3-0-0_090083_2017-12-17_final
2017-12-18 09:22:38	ga_ls7e_ard_3-0-0_090084_2017-12-17_final
2017-12-18 09:23:02	ga_ls7e_ard_3-1-0_090085_2017-12-17_final
2017-12-18 09:23:26	ga_ls7e_ard_3-0-0_090086_2017-12-17_final
2017-12-27 09:16:21	ga_ls7e_ard_3-0-0_089084_2017-12-26_final
2017-12-27 09:16:44	ga_ls7e_ard_3-0-0_089085_2017-12-26_final
2017-12-27 09:17:08	ga_ls7e_ard_3-0-0_089086_2017-12-26_final
2018-01-15 09:40:12	ga_ls7e_ard_3-1-0_094067_2018-01-15_final
2018-01-17 09:31:00	ga_ls7e_ard_3-0-0_092075_2018-01-17_final
2018-01-17 09:31:24	ga_ls7e_ard_3-0-0_092076_2018-01-17_final
2018-01-17 09:31:48	ga_ls7e_ard_3-0-0_092077_2018-01-17_final
2018-01-17 09:32:12	ga_ls7e_ard_3-0-0_092078_2018-01-17_final
2018-01-24 09:36:40	ga_ls7e_ard_3-0-0_093074_2018-01-24_final
2018-02-27 09:26:16	ga_ls7e_ard_3-0-0_091080_2018-02-26_final
2018-02-27 09:26:40	ga_ls7e_ard_3-0-0_091081_2018-02-26_final
2018-02-27 09:27:04	ga_ls7e_ard_3-0-0_091082_2018-02-26_final
2018-02-27 09:27:28	ga_ls7e_ard_3-0-0_091083_2018-02-26_final
2018-03-04 09:39:34	ga_ls7e_ard_3-1-0_094067_2018-03-04_final
2018-03-06 09:30:23	ga_ls7e_ard_3-0-0_092075_2018-03-06_final
2018-03-06 09:30:46	ga_ls7e_ard_3-0-0_092076_2018-03-06_final
2018-03-08 09:20:23	ga_ls7e_ard_3-0-0_090081_2018-03-07_final
2018-03-08 09:20:47	ga_ls7e_ard_3-0-0_090082_2018-03-07_final
2018-03-08 09:21:11	ga_ls7e_ard_3-0-0_090083_2018-03-07_final
2018-03-08 09:21:35	ga_ls7e_ard_3-0-0_090084_2018-03-07_final
2018-03-08 09:21:59	ga_ls7e_ard_3-0-0_090085_2018-03-07_final
2018-03-08 09:22:23	ga_ls7e_ard_3-0-0_090086_2018-03-07_final
2018-04-23 09:29:40	ga_ls7e_ard_3-0-0_092075_2018-04-22_final
2018-04-23 09:30:28	ga_ls7e_ard_3-0-0_092077_2018-04-23_final
2018-04-23 09:30:52	ga_ls7e_ard_3-0-0_092078_2018-04-23_final
2018-04-25 09:19:40	ga_ls7e_ard_3-0-0_090081_2018-04-24_final
2018-04-25 09:20:04	ga_ls7e_ard_3-0-0_090082_2018-04-24_final
2018-04-25 09:20:28	ga_ls7e_ard_3-0-0_090083_2018-04-24_final
2018-04-25 09:20:52	ga_ls7e_ard_3-0-0_090084_2018-04-24_final
2018-04-25 09:21:16	ga_ls7e_ard_3-1-0_090085_2018-04-24_final
2018-04-25 09:21:40	ga_ls7e_ard_3-0-0_090086_2018-04-24_final
2018-06-08 09:38:04	ga_ls7e_ard_3-1-0_094067_2018-06-08_final
2018-06-10 09:28:52	ga_ls7e_ard_3-0-0_092075_2018-06-09_final
2018-06-10 09:29:16	ga_ls7e_ard_3-0-0_092076_2018-06-09_final
2018-06-10 09:29:40	ga_ls7e_ard_3-0-0_092077_2018-06-09_final
2018-06-10 09:30:03	ga_ls7e_ard_3-1-0_092078_2018-06-10_final
2018-06-21 09:14:06	ga_ls7e_ard_3-0-0_089085_2018-06-20_final
2018-06-21 09:14:30	ga_ls7e_ard_3-0-0_089086_2018-06-20_final
2018-06-24 09:37:46	ga_ls7e_ard_3-1-0_094067_2018-06-24_final
2018-06-26 09:29:45	ga_ls7e_ard_3-0-0_092078_2018-06-25_final
2018-08-06 09:23:13	ga_ls7e_ard_3-0-0_091079_2018-08-05_final
2018-08-06 09:23:37	ga_ls7e_ard_3-0-0_091080_2018-08-05_final
2018-08-08 09:13:13	ga_ls7e_ard_3-0-0_089085_2018-08-07_final
2018-10-07 09:32:15	ga_ls7e_ard_3-0-0_093074_2018-10-07_final
2018-10-09 09:21:02	ga_ls7e_ard_3-0-0_091077_2018-10-08_final
2018-10-09 09:21:50	ga_ls7e_ard_3-0-0_091079_2018-10-08_final
2018-10-09 09:22:14	ga_ls7e_ard_3-0-0_091080_2018-10-08_final
2018-10-09 09:22:38	ga_ls7e_ard_3-0-0_091081_2018-10-08_final
2018-10-09 09:23:01	ga_ls7e_ard_3-0-0_091082_2018-10-08_final
2018-10-09 09:23:25	ga_ls7e_ard_3-0-0_091083_2018-10-08_final
2018-11-01 09:25:54	ga_ls7e_ard_3-0-0_092075_2018-10-31_final
2018-11-01 09:27:05	ga_ls7e_ard_3-0-0_092078_2018-10-31_final
2018-11-03 09:15:53	ga_ls7e_ard_3-0-0_090081_2018-11-02_final
2018-11-03 09:16:17	ga_ls7e_ard_3-1-0_090082_2018-11-02_final
2018-11-03 09:16:41	ga_ls7e_ard_3-0-0_090083_2018-11-02_final
2018-11-03 09:17:05	ga_ls7e_ard_3-0-0_090084_2018-11-02_final
2018-11-03 09:17:29	ga_ls7e_ard_3-1-0_090085_2018-11-02_final
2018-11-03 09:17:53	ga_ls7e_ard_3-0-0_090086_2018-11-02_final
2019-05-07 09:05:34	ga_ls7e_ard_3-0-0_089085_2019-05-06_final
2019-05-07 09:05:58	ga_ls7e_ard_3-0-0_089086_2019-05-06_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