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
1999-09-04 11:39:58	ga_ls7e_ard_3-0-0_114080_1999-09-04_final
1999-09-04 11:40:22	ga_ls7e_ard_3-0-0_114081_1999-09-04_final
1999-11-30 11:44:23	ga_ls7e_ard_3-0-0_115076_1999-11-30_final
1999-11-30 11:44:47	ga_ls7e_ard_3-1-0_115077_1999-11-30_final
1999-11-30 11:45:11	ga_ls7e_ard_3-0-0_115078_1999-11-30_final
1999-11-30 11:45:35	ga_ls7e_ard_3-0-0_115079_1999-11-30_final
2000-04-06 11:44:02	ga_ls7e_ard_3-0-0_115076_2000-04-06_final
2000-04-06 11:44:26	ga_ls7e_ard_3-1-0_115077_2000-04-06_final
2000-04-06 11:44:50	ga_ls7e_ard_3-0-0_115078_2000-04-06_final
2000-04-06 11:45:14	ga_ls7e_ard_3-0-0_115079_2000-04-06_final
2000-05-01 11:39:18	ga_ls7e_ard_3-0-0_114080_2000-05-01_final
2000-05-08 11:43:46	ga_ls7e_ard_3-0-0_115076_2000-05-08_final
2000-05-08 11:44:10	ga_ls7e_ard_3-1-0_115077_2000-05-08_final
2000-05-08 11:44:34	ga_ls7e_ard_3-0-0_115078_2000-05-08_final
2000-05-08 11:44:58	ga_ls7e_ard_3-0-0_115079_2000-05-08_final
2001-04-02 11:37:07	ga_ls7e_ard_3-0-0_114080_2001-04-02_final
2001-04-02 11:37:31	ga_ls7e_ard_3-0-0_114081_2001-04-02_final
2001-05-27 11:41:25	ga_ls7e_ard_3-0-0_115076_2001-05-27_final
2001-05-27 11:41:49	ga_ls7e_ard_3-1-0_115077_2001-05-27_final
2001-05-27 11:42:12	ga_ls7e_ard_3-0-0_115078_2001-05-27_final
2001-05-27 11:42:36	ga_ls7e_ard_3-0-0_115079_2001-05-27_final
2001-08-24 11:35:48	ga_ls7e_ard_3-0-0_114080_2001-08-24_final
2017-02-18 11:44:25	ga_ls7e_ard_3-0-0_113084_2017-02-18_final
2017-04-07 11:44:43	ga_ls7e_ard_3-0-0_113084_2017-04-07_final
2017-04-23 11:44:50	ga_ls7e_ard_3-0-0_113084_2017-04-23_final
2017-05-07 11:53:40	ga_ls7e_ard_3-0-0_115075_2017-05-07_final
2017-05-07 11:54:04	ga_ls7e_ard_3-0-0_115076_2017-05-07_final
2017-05-07 11:54:28	ga_ls7e_ard_3-0-0_115077_2017-05-07_final
2017-05-07 11:54:52	ga_ls7e_ard_3-0-0_115078_2017-05-07_final
2017-05-07 11:55:16	ga_ls7e_ard_3-0-0_115079_2017-05-07_final
2017-05-23 11:53:43	ga_ls7e_ard_3-0-0_115075_2017-05-23_final
2017-05-23 11:54:06	ga_ls7e_ard_3-0-0_115076_2017-05-23_final
2017-05-23 11:54:30	ga_ls7e_ard_3-0-0_115077_2017-05-23_final
2017-05-23 11:54:54	ga_ls7e_ard_3-0-0_115078_2017-05-23_final
2017-05-23 11:55:18	ga_ls7e_ard_3-0-0_115079_2017-05-23_final
2017-05-25 11:44:57	ga_ls7e_ard_3-0-0_113084_2017-05-25_final
2017-06-01 11:49:34	ga_ls7e_ard_3-0-0_114080_2017-06-01_final
2017-06-01 11:49:58	ga_ls7e_ard_3-0-0_114081_2017-06-01_final
2017-06-24 11:53:51	ga_ls7e_ard_3-0-0_115075_2017-06-24_final
2017-06-24 11:54:15	ga_ls7e_ard_3-0-0_115076_2017-06-24_final
2017-06-24 11:54:39	ga_ls7e_ard_3-1-0_115077_2017-06-24_final
2017-06-24 11:55:03	ga_ls7e_ard_3-0-0_115078_2017-06-24_final
2017-06-24 11:55:27	ga_ls7e_ard_3-0-0_115079_2017-06-24_final
2017-06-26 11:45:05	ga_ls7e_ard_3-0-0_113084_2017-06-26_final
2017-08-29 11:45:03	ga_ls7e_ard_3-0-0_113084_2017-08-29_final
2017-09-12 11:53:48	ga_ls7e_ard_3-0-0_115075_2017-09-12_final
2017-09-12 11:54:12	ga_ls7e_ard_3-0-0_115076_2017-09-12_final
2017-09-12 11:54:36	ga_ls7e_ard_3-1-0_115077_2017-09-12_final
2017-09-12 11:55:00	ga_ls7e_ard_3-0-0_115078_2017-09-12_final
2017-09-12 11:55:24	ga_ls7e_ard_3-0-0_115079_2017-09-12_final
2017-09-14 11:45:01	ga_ls7e_ard_3-0-0_113084_2017-09-14_final
2017-09-21 11:49:36	ga_ls7e_ard_3-0-0_114080_2017-09-21_final
2017-10-14 11:53:50	ga_ls7e_ard_3-0-0_115075_2017-10-14_final
2017-10-14 11:54:14	ga_ls7e_ard_3-0-0_115076_2017-10-14_final
2017-10-14 11:54:38	ga_ls7e_ard_3-1-0_115077_2017-10-14_final
2017-10-14 11:55:02	ga_ls7e_ard_3-0-0_115078_2017-10-14_final
2017-10-14 11:55:26	ga_ls7e_ard_3-0-0_115079_2017-10-14_final
2019-10-20 11:36:00	ga_ls7e_ard_3-1-0_115076_2019-10-20_final
2019-10-20 11:36:24	ga_ls7e_ard_3-1-0_115077_2019-10-20_final
2019-10-20 11:36:48	ga_ls7e_ard_3-1-0_115078_2019-10-20_final
2019-10-20 11:37:12	ga_ls7e_ard_3-1-0_115079_2019-10-20_final
2019-10-22 11:26:45	ga_ls7e_ard_3-1-0_113084_2019-10-22_final
2019-11-21 11:34:33	ga_ls7e_ard_3-1-0_115076_2019-11-21_final
2019-11-21 11:34:57	ga_ls7e_ard_3-1-0_115077_2019-11-21_final
2019-11-21 11:35:21	ga_ls7e_ard_3-1-0_115078_2019-11-21_final
2019-11-21 11:35:45	ga_ls7e_ard_3-1-0_115079_2019-11-21_final
2019-12-09 11:24:31	ga_ls7e_ard_3-1-0_113084_2019-12-09_final
2019-12-23 11:32:58	ga_ls7e_ard_3-1-0_115076_2019-12-23_final
2019-12-25 11:23:42	ga_ls7e_ard_3-1-0_113084_2019-12-25_final
2020-01-10 11:22:52	ga_ls7e_ard_3-1-0_113084_2020-01-10_final
2020-02-25 11:29:42	ga_ls7e_ard_3-1-0_115076_2020-02-25_final
2020-02-25 11:30:06	ga_ls7e_ard_3-1-0_115077_2020-02-25_final
2020-02-25 11:30:30	ga_ls7e_ard_3-1-0_115078_2020-02-25_final
2020-02-25 11:30:54	ga_ls7e_ard_3-1-0_115079_2020-02-25_final
2020-03-05 11:24:38	ga_ls7e_ard_3-1-0_114080_2020-03-05_final
2020-03-05 11:25:02	ga_ls7e_ard_3-1-0_114081_2020-03-05_final
2020-04-22 11:21:56	ga_ls7e_ard_3-1-0_114080_2020-04-22_final
2020-04-22 11:22:20	ga_ls7e_ard_3-1-0_114081_2020-04-22_final
2020-04-29 11:26:06	ga_ls7e_ard_3-1-0_115076_2020-04-29_final
2020-04-29 11:26:30	ga_ls7e_ard_3-1-0_115077_2020-04-29_final
2020-04-29 11:26:53	ga_ls7e_ard_3-1-0_115078_2020-04-29_final
2020-04-29 11:27:17	ga_ls7e_ard_3-1-0_115079_2020-04-29_final
2020-05-01 11:16:48	ga_ls7e_ard_3-1-0_113084_2020-05-01_final
2020-05-08 11:20:58	ga_ls7e_ard_3-1-0_114080_2020-05-08_final
2020-05-08 11:21:22	ga_ls7e_ard_3-1-0_114081_2020-05-08_final
2020-05-15 11:25:07	ga_ls7e_ard_3-1-0_115076_2020-05-15_final
2020-05-15 11:25:31	ga_ls7e_ard_3-1-0_115077_2020-05-15_final
2020-05-15 11:25:55	ga_ls7e_ard_3-1-0_115078_2020-05-15_final
2020-05-15 11:26:19	ga_ls7e_ard_3-1-0_115079_2020-05-15_final
2020-06-16 11:23:13	ga_ls7e_ard_3-1-0_115076_2020-06-16_final
2020-06-16 11:23:37	ga_ls7e_ard_3-1-0_115077_2020-06-16_final
2020-06-16 11:24:01	ga_ls7e_ard_3-1-0_115078_2020-06-16_final
2020-06-16 11:24:25	ga_ls7e_ard_3-1-0_115079_2020-06-16_final
2020-06-18 11:13:56	ga_ls7e_ard_3-1-0_113084_2020-06-18_final
2020-06-25 11:18:06	ga_ls7e_ard_3-1-0_114080_2020-06-25_final
2020-06-25 11:18:30	ga_ls7e_ard_3-1-0_114081_2020-06-25_final
2020-07-02 11:22:16	ga_ls7e_ard_3-1-0_115076_2020-07-02_final
2020-07-02 11:22:40	ga_ls7e_ard_3-1-0_115077_2020-07-02_final
2020-07-02 11:23:04	ga_ls7e_ard_3-1-0_115078_2020-07-02_final
2020-07-02 11:23:28	ga_ls7e_ard_3-1-0_115079_2020-07-02_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