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
2017-12-02 09:19:59	ga_ls7e_ard_3-0-0_090077_2017-12-01_final
2017-12-02 09:20:47	ga_ls7e_ard_3-0-0_090079_2017-12-01_final
2018-03-31 09:24:16	ga_ls7e_ard_3-0-0_091076_2018-03-30_final
2018-10-02 09:15:01	ga_ls7e_ard_3-0-0_090077_2018-10-01_final
2018-10-02 09:15:25	ga_ls7e_ard_3-0-0_090078_2018-10-01_final
2018-10-02 09:15:49	ga_ls7e_ard_3-0-0_090079_2018-10-01_final
2018-10-02 09:16:13	ga_ls7e_ard_3-0-0_090080_2018-10-01_final
2018-12-21 09:13:03	ga_ls7e_ard_3-0-0_090077_2018-12-20_final
2018-12-21 09:13:27	ga_ls7e_ard_3-0-0_090078_2018-12-20_final
2018-12-21 09:13:51	ga_ls7e_ard_3-0-0_090079_2018-12-20_final
2018-12-21 09:14:15	ga_ls7e_ard_3-0-0_090080_2018-12-20_final
2019-04-19 09:15:01	ga_ls7e_ard_3-0-0_091076_2019-04-18_final
2019-04-21 09:03:47	ga_ls7e_ard_3-0-0_089079_2019-04-20_final
2019-04-21 09:04:11	ga_ls7e_ard_3-0-0_089080_2019-04-20_final
2019-04-21 09:04:35	ga_ls7e_ard_3-1-0_089081_2019-04-20_final
2019-04-21 09:04:59	ga_ls7e_ard_3-0-0_089082_2019-04-20_final
2019-04-21 09:05:23	ga_ls7e_ard_3-0-0_089083_2019-04-20_final
2019-04-21 09:05:47	ga_ls7e_ard_3-0-0_089084_2019-04-20_final
2021-05-26 08:30:21	ga_ls7e_ard_3-2-0_091076_2021-05-25_final
2021-05-28 08:19:01	ga_ls7e_ard_3-2-0_089079_2021-05-27_final
2021-05-28 08:19:25	ga_ls7e_ard_3-2-0_089080_2021-05-27_final
2021-05-28 08:19:49	ga_ls7e_ard_3-2-0_089081_2021-05-27_final
2021-05-28 08:20:13	ga_ls7e_ard_3-2-0_089082_2021-05-27_final
2021-05-28 08:20:37	ga_ls7e_ard_3-2-0_089083_2021-05-27_final
2021-05-28 08:21:01	ga_ls7e_ard_3-2-0_089084_2021-05-27_final
2021-05-28 08:21:25	ga_ls7e_ard_3-2-0_089085_2021-05-27_final
2021-06-04 08:24:12	ga_ls7e_ard_3-2-0_090078_2021-06-03_final
2021-06-04 08:24:36	ga_ls7e_ard_3-2-0_090079_2021-06-03_final
2021-06-04 08:25:00	ga_ls7e_ard_3-2-0_090080_2021-06-03_final
2021-06-11 08:29:01	ga_ls7e_ard_3-2-0_091076_2021-06-10_final
2021-06-20 08:22:30	ga_ls7e_ard_3-2-0_090077_2021-06-19_final
2021-06-20 08:22:54	ga_ls7e_ard_3-2-0_090078_2021-06-19_final
2021-06-20 08:23:18	ga_ls7e_ard_3-2-0_090079_2021-06-19_final
2021-06-20 08:23:42	ga_ls7e_ard_3-2-0_090080_2021-06-19_final
2021-06-29 08:16:22	ga_ls7e_ard_3-2-0_089079_2021-06-28_final
2021-06-29 08:16:46	ga_ls7e_ard_3-2-0_089080_2021-06-28_final
2021-06-29 08:17:10	ga_ls7e_ard_3-2-0_089081_2021-06-28_final
2021-06-29 08:17:34	ga_ls7e_ard_3-2-0_089082_2021-06-28_final
2021-06-29 08:17:58	ga_ls7e_ard_3-2-0_089083_2021-06-28_final
2021-06-29 08:18:46	ga_ls7e_ard_3-2-0_089085_2021-06-28_final
2021-07-06 08:21:10	ga_ls7e_ard_3-2-0_090077_2021-07-05_final
2021-07-06 08:21:58	ga_ls7e_ard_3-2-0_090079_2021-07-05_final
2021-07-06 08:22:22	ga_ls7e_ard_3-2-0_090080_2021-07-05_final
2021-07-15 08:16:13	ga_ls7e_ard_3-2-0_089082_2021-07-14_final
2021-07-22 08:19:48	ga_ls7e_ard_3-2-0_090077_2021-07-21_final
2021-07-22 08:20:12	ga_ls7e_ard_3-2-0_090078_2021-07-21_final
2021-07-22 08:20:36	ga_ls7e_ard_3-2-0_090079_2021-07-21_final
2021-07-22 08:21:00	ga_ls7e_ard_3-2-0_090080_2021-07-21_final
2021-07-29 08:24:58	ga_ls7e_ard_3-2-0_091076_2021-07-28_final
2021-07-31 08:13:38	ga_ls7e_ard_3-2-0_089079_2021-07-30_final
2021-07-31 08:14:02	ga_ls7e_ard_3-2-0_089080_2021-07-30_final
2021-07-31 08:14:26	ga_ls7e_ard_3-2-0_089081_2021-07-30_final
2021-07-31 08:14:50	ga_ls7e_ard_3-2-0_089082_2021-07-30_final
2021-07-31 08:15:14	ga_ls7e_ard_3-2-0_089083_2021-07-30_final
2021-07-31 08:16:01	ga_ls7e_ard_3-2-0_089085_2021-07-30_final
2021-08-07 08:18:23	ga_ls7e_ard_3-2-0_090077_2021-08-06_final
2021-08-07 08:18:47	ga_ls7e_ard_3-2-0_090078_2021-08-06_final
2021-08-07 08:19:11	ga_ls7e_ard_3-2-0_090079_2021-08-06_final
2021-08-07 08:19:35	ga_ls7e_ard_3-2-0_090080_2021-08-06_final
2021-08-14 08:23:33	ga_ls7e_ard_3-2-0_091076_2021-08-13_final
2021-08-16 08:12:12	ga_ls7e_ard_3-2-0_089079_2021-08-15_final
2021-08-16 08:12:36	ga_ls7e_ard_3-2-0_089080_2021-08-15_final
2021-08-16 08:13:00	ga_ls7e_ard_3-2-0_089081_2021-08-15_final
2021-08-16 08:13:24	ga_ls7e_ard_3-2-0_089082_2021-08-15_final
2021-08-16 08:13:48	ga_ls7e_ard_3-2-0_089083_2021-08-15_final
2021-08-16 08:14:12	ga_ls7e_ard_3-2-0_089084_2021-08-15_final
2021-08-16 08:14:36	ga_ls7e_ard_3-2-0_089085_2021-08-15_final
2021-09-08 08:15:36	ga_ls7e_ard_3-2-0_090077_2021-09-07_final
2021-09-08 08:16:00	ga_ls7e_ard_3-2-0_090078_2021-09-07_final
2021-09-08 08:16:24	ga_ls7e_ard_3-2-0_090079_2021-09-07_final
2021-09-08 08:16:48	ga_ls7e_ard_3-2-0_090080_2021-09-07_final
2021-09-15 08:20:45	ga_ls7e_ard_3-2-0_091076_2021-09-14_final
2021-09-17 08:09:25	ga_ls7e_ard_3-2-0_089079_2021-09-16_final
2021-09-17 08:09:49	ga_ls7e_ard_3-2-0_089080_2021-09-16_final
2021-09-17 08:10:13	ga_ls7e_ard_3-2-0_089081_2021-09-16_final
2021-09-17 08:10:37	ga_ls7e_ard_3-2-0_089082_2021-09-16_final
2021-09-17 08:11:01	ga_ls7e_ard_3-2-0_089083_2021-09-16_final
2021-09-17 08:11:25	ga_ls7e_ard_3-2-0_089084_2021-09-16_final
2021-09-17 08:11:49	ga_ls7e_ard_3-2-0_089085_2021-09-16_final
2021-09-24 08:14:10	ga_ls7e_ard_3-2-0_090077_2021-09-23_final
2021-09-24 08:14:34	ga_ls7e_ard_3-2-0_090078_2021-09-23_final
2021-09-24 08:14:58	ga_ls7e_ard_3-2-0_090079_2021-09-23_final
2021-09-24 08:15:22	ga_ls7e_ard_3-2-0_090080_2021-09-23_final
2021-10-03 08:07:59	ga_ls7e_ard_3-2-0_089079_2021-10-02_final
2021-10-03 08:08:23	ga_ls7e_ard_3-2-0_089080_2021-10-02_final
2021-10-03 08:08:47	ga_ls7e_ard_3-2-0_089081_2021-10-02_final
2021-10-03 08:09:11	ga_ls7e_ard_3-2-0_089082_2021-10-02_final
2021-10-03 08:09:35	ga_ls7e_ard_3-2-0_089083_2021-10-02_final
2021-10-03 08:09:59	ga_ls7e_ard_3-2-0_089084_2021-10-02_final
2021-10-03 08:10:23	ga_ls7e_ard_3-2-0_089085_2021-10-02_final
2021-10-10 08:12:45	ga_ls7e_ard_3-2-0_090077_2021-10-09_final
2021-10-10 08:13:09	ga_ls7e_ard_3-2-0_090078_2021-10-09_final
2021-10-10 08:13:33	ga_ls7e_ard_3-2-0_090079_2021-10-09_final
2021-10-10 08:13:57	ga_ls7e_ard_3-2-0_090080_2021-10-09_final
2021-10-17 08:17:55	ga_ls7e_ard_3-2-0_091076_2021-10-16_final
2021-10-19 08:06:34	ga_ls7e_ard_3-2-0_089079_2021-10-18_final
2021-10-19 08:06:58	ga_ls7e_ard_3-2-0_089080_2021-10-18_final
2021-10-19 08:07:22	ga_ls7e_ard_3-2-0_089081_2021-10-18_final
2021-10-19 08:07:46	ga_ls7e_ard_3-2-0_089082_2021-10-18_final
2021-10-19 08:08:10	ga_ls7e_ard_3-2-0_089083_2021-10-18_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