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
2012-06-03 11:36:12	ga_ls7e_ard_3-0-0_114067_2012-06-03_final
2012-09-07 11:37:13	ga_ls7e_ard_3-0-0_114067_2012-09-07_final
2012-09-09 11:28:51	ga_ls7e_ard_3-0-0_112077_2012-09-09_final
2012-09-09 11:29:15	ga_ls7e_ard_3-0-0_112078_2012-09-09_final
2012-09-09 11:29:39	ga_ls7e_ard_3-1-0_112079_2012-09-09_final
2012-09-09 11:30:03	ga_ls7e_ard_3-0-0_112080_2012-09-09_final
2012-09-09 11:30:27	ga_ls7e_ard_3-0-0_112081_2012-09-09_final
2012-09-09 11:30:51	ga_ls7e_ard_3-0-0_112082_2012-09-09_final
2012-11-10 11:37:43	ga_ls7e_ard_3-0-0_114067_2012-11-10_final
2012-12-05 11:34:25	ga_ls7e_ard_3-0-0_113074_2012-12-05_final
2012-12-05 11:34:49	ga_ls7e_ard_3-0-0_113075_2012-12-05_final
2012-12-05 11:35:37	ga_ls7e_ard_3-0-0_113077_2012-12-05_final
2012-12-05 11:36:01	ga_ls7e_ard_3-0-0_113078_2012-12-05_final
2012-12-07 11:24:52	ga_ls7e_ard_3-0-0_111081_2012-12-07_final
2012-12-07 11:25:16	ga_ls7e_ard_3-1-0_111082_2012-12-07_final
2017-12-05 11:31:20	ga_ls7e_ard_3-0-0_111081_2017-12-05_final
2017-12-05 11:31:44	ga_ls7e_ard_3-1-0_111082_2017-12-05_final
2017-12-05 11:32:08	ga_ls7e_ard_3-0-0_111083_2017-12-05_final
2017-12-12 11:35:28	ga_ls7e_ard_3-0-0_112076_2017-12-12_final
2017-12-12 11:35:52	ga_ls7e_ard_3-1-0_112077_2017-12-12_final
2017-12-12 11:36:15	ga_ls7e_ard_3-0-0_112078_2017-12-12_final
2017-12-12 11:36:39	ga_ls7e_ard_3-0-0_112079_2017-12-12_final
2017-12-12 11:37:03	ga_ls7e_ard_3-0-0_112080_2017-12-12_final
2017-12-12 11:37:27	ga_ls7e_ard_3-0-0_112081_2017-12-12_final
2017-12-12 11:37:51	ga_ls7e_ard_3-0-0_112082_2017-12-12_final
2018-08-09 11:32:09	ga_ls7e_ard_3-0-0_112077_2018-08-09_final
2018-08-09 11:32:33	ga_ls7e_ard_3-0-0_112078_2018-08-09_final
2018-08-09 11:32:57	ga_ls7e_ard_3-1-0_112079_2018-08-09_final
2018-08-09 11:33:21	ga_ls7e_ard_3-0-0_112080_2018-08-09_final
2018-08-09 11:33:45	ga_ls7e_ard_3-0-0_112081_2018-08-09_final
2018-08-09 11:34:09	ga_ls7e_ard_3-0-0_112082_2018-08-09_final
2018-08-16 11:37:00	ga_ls7e_ard_3-0-0_113074_2018-08-16_final
2018-08-16 11:37:24	ga_ls7e_ard_3-0-0_113075_2018-08-16_final
2018-08-16 11:37:48	ga_ls7e_ard_3-0-0_113076_2018-08-16_final
2018-08-16 11:38:12	ga_ls7e_ard_3-0-0_113077_2018-08-16_final
2018-08-16 11:38:36	ga_ls7e_ard_3-0-0_113078_2018-08-16_final
2021-05-11 10:52:58	ga_ls7e_ard_3-2-0_114074_2021-05-11_final
2021-05-13 10:41:38	ga_ls7e_ard_3-2-0_112077_2021-05-13_final
2021-05-13 10:42:02	ga_ls7e_ard_3-2-0_112078_2021-05-13_final
2021-05-13 10:42:26	ga_ls7e_ard_3-2-0_112079_2021-05-13_final
2021-05-13 10:42:50	ga_ls7e_ard_3-2-0_112080_2021-05-13_final
2021-06-05 10:45:04	ga_ls7e_ard_3-2-0_113075_2021-06-05_final
2021-06-05 10:45:28	ga_ls7e_ard_3-2-0_113076_2021-06-05_final
2021-06-05 10:45:52	ga_ls7e_ard_3-2-0_113077_2021-06-05_final
2021-06-05 10:46:16	ga_ls7e_ard_3-2-0_113078_2021-06-05_final
2021-06-07 10:34:56	ga_ls7e_ard_3-2-0_111081_2021-06-07_final
2021-06-07 10:35:20	ga_ls7e_ard_3-2-0_111082_2021-06-07_final
2021-06-07 10:35:44	ga_ls7e_ard_3-2-0_111083_2021-06-07_final
2021-06-14 10:38:57	ga_ls7e_ard_3-2-0_112077_2021-06-14_final
2021-06-14 10:39:21	ga_ls7e_ard_3-2-0_112078_2021-06-14_final
2021-06-14 10:39:45	ga_ls7e_ard_3-2-0_112079_2021-06-14_final
2021-06-14 10:40:09	ga_ls7e_ard_3-2-0_112080_2021-06-14_final
2021-06-14 10:40:33	ga_ls7e_ard_3-2-0_112081_2021-06-14_final
2021-06-14 10:40:57	ga_ls7e_ard_3-2-0_112082_2021-06-14_final
2021-06-14 10:41:21	ga_ls7e_ard_3-2-0_112083_2021-06-14_final
2021-06-21 10:44:33	ga_ls7e_ard_3-2-0_113077_2021-06-21_final
2021-06-21 10:44:57	ga_ls7e_ard_3-2-0_113078_2021-06-21_final
2021-06-23 10:33:38	ga_ls7e_ard_3-2-0_111081_2021-06-23_final
2021-06-23 10:34:02	ga_ls7e_ard_3-2-0_111082_2021-06-23_final
2021-06-23 10:34:26	ga_ls7e_ard_3-2-0_111083_2021-06-23_final
2021-06-23 10:34:50	ga_ls7e_ard_3-2-0_111084_2021-06-23_final
2021-06-28 10:48:58	ga_ls7e_ard_3-2-0_114074_2021-06-28_final
2021-08-08 10:39:15	ga_ls7e_ard_3-2-0_113074_2021-08-08_final
2021-08-08 10:39:38	ga_ls7e_ard_3-2-0_113075_2021-08-08_final
2021-08-08 10:40:02	ga_ls7e_ard_3-2-0_113076_2021-08-08_final
2021-08-08 10:40:26	ga_ls7e_ard_3-2-0_113077_2021-08-08_final
2021-08-10 10:29:30	ga_ls7e_ard_3-2-0_111081_2021-08-10_final
2021-08-10 10:30:42	ga_ls7e_ard_3-2-0_111084_2021-08-10_final
2021-08-17 10:33:27	ga_ls7e_ard_3-2-0_112077_2021-08-17_final
2021-08-17 10:33:51	ga_ls7e_ard_3-2-0_112078_2021-08-17_final
2021-08-17 10:34:15	ga_ls7e_ard_3-2-0_112079_2021-08-17_final
2021-08-17 10:34:39	ga_ls7e_ard_3-2-0_112080_2021-08-17_final
2021-08-17 10:35:03	ga_ls7e_ard_3-2-0_112081_2021-08-17_final
2021-08-17 10:35:27	ga_ls7e_ard_3-2-0_112082_2021-08-17_final
2021-08-17 10:35:51	ga_ls7e_ard_3-2-0_112083_2021-08-17_final
2021-10-27 10:32:34	ga_ls7e_ard_3-2-0_113075_2021-10-27_final
2021-10-27 10:33:22	ga_ls7e_ard_3-2-0_113077_2021-10-27_final
2022-03-04 10:19:44	ga_ls7e_ard_3-2-1_113074_2022-03-04_final
2022-03-04 10:20:08	ga_ls7e_ard_3-2-1_113075_2022-03-04_final
2022-03-04 10:20:32	ga_ls7e_ard_3-2-1_113076_2022-03-04_final
2022-03-04 10:20:56	ga_ls7e_ard_3-2-1_113077_2022-03-04_final
2022-03-04 10:21:20	ga_ls7e_ard_3-2-1_113078_2022-03-04_final
2022-03-06 10:09:59	ga_ls7e_ard_3-2-1_111081_2022-03-06_final
2022-03-06 10:10:23	ga_ls7e_ard_3-2-1_111082_2022-03-06_final
2022-03-06 10:10:47	ga_ls7e_ard_3-2-1_111083_2022-03-06_final
2022-03-06 10:11:10	ga_ls7e_ard_3-2-1_111084_2022-03-06_final
2022-03-11 10:25:13	ga_ls7e_ard_3-2-1_114074_2022-03-11_final
2022-03-27 10:23:40	ga_ls7e_ard_3-2-1_114074_2022-03-27_final
2022-03-29 10:12:19	ga_ls7e_ard_3-2-1_112077_2022-03-29_final
2022-03-29 10:12:43	ga_ls7e_ard_3-2-1_112078_2022-03-29_final
2022-03-29 10:13:07	ga_ls7e_ard_3-2-1_112079_2022-03-29_final
2022-03-29 10:13:31	ga_ls7e_ard_3-2-1_112080_2022-03-29_final
2022-03-29 10:13:55	ga_ls7e_ard_3-2-1_112081_2022-03-29_final
2022-03-29 10:14:19	ga_ls7e_ard_3-2-1_112082_2022-03-29_final
2022-03-29 10:14:43	ga_ls7e_ard_3-2-1_112083_2022-03-29_final
2022-04-05 10:15:49	ga_ls7e_ard_3-2-1_113072_2022-04-05_final
2022-04-05 10:16:37	ga_ls7e_ard_3-2-1_113074_2022-04-05_final
2022-04-05 10:17:00	ga_ls7e_ard_3-2-1_113075_2022-04-05_final
2022-04-05 10:17:24	ga_ls7e_ard_3-2-1_113076_2022-04-05_final
2022-04-05 10:17:48	ga_ls7e_ard_3-2-1_113077_2022-04-05_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