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
2018-01-04 11:41:22	ga_ls7e_ard_3-0-0_113076_2018-01-04_final
2018-01-04 11:41:46	ga_ls7e_ard_3-0-0_113077_2018-01-04_final
2018-01-04 11:42:10	ga_ls7e_ard_3-0-0_113078_2018-01-04_final
2018-01-04 11:42:34	ga_ls7e_ard_3-0-0_113079_2018-01-04_final
2018-01-04 11:42:58	ga_ls7e_ard_3-0-0_113080_2018-01-04_final
2018-01-04 11:43:22	ga_ls7e_ard_3-0-0_113081_2018-01-04_final
2018-01-04 11:43:46	ga_ls7e_ard_3-0-0_113082_2018-01-04_final
2018-01-13 11:36:39	ga_ls7e_ard_3-0-0_112080_2018-01-13_final
2018-01-13 11:37:03	ga_ls7e_ard_3-0-0_112081_2018-01-13_final
2018-01-13 11:37:27	ga_ls7e_ard_3-0-0_112082_2018-01-13_final
2018-01-13 11:37:51	ga_ls7e_ard_3-0-0_112083_2018-01-13_final
2018-01-13 11:38:15	ga_ls7e_ard_3-0-0_112084_2018-01-13_final
2018-03-09 11:40:31	ga_ls7e_ard_3-0-0_113076_2018-03-09_final
2018-03-09 11:40:55	ga_ls7e_ard_3-0-0_113077_2018-03-09_final
2018-03-09 11:41:19	ga_ls7e_ard_3-0-0_113078_2018-03-09_final
2018-03-09 11:41:43	ga_ls7e_ard_3-0-0_113079_2018-03-09_final
2018-03-09 11:42:07	ga_ls7e_ard_3-0-0_113080_2018-03-09_final
2018-03-09 11:42:31	ga_ls7e_ard_3-0-0_113081_2018-03-09_final
2018-03-09 11:42:55	ga_ls7e_ard_3-0-0_113082_2018-03-09_final
2018-04-19 11:35:44	ga_ls7e_ard_3-0-0_112081_2018-04-19_final
2018-04-26 11:39:48	ga_ls7e_ard_3-0-0_113076_2018-04-26_final
2018-04-26 11:40:12	ga_ls7e_ard_3-0-0_113077_2018-04-26_final
2018-04-26 11:40:36	ga_ls7e_ard_3-0-0_113078_2018-04-26_final
2018-04-26 11:41:00	ga_ls7e_ard_3-0-0_113079_2018-04-26_final
2018-04-26 11:41:24	ga_ls7e_ard_3-1-0_113080_2018-04-26_final
2018-04-26 11:41:47	ga_ls7e_ard_3-0-0_113081_2018-04-26_final
2018-04-26 11:42:11	ga_ls7e_ard_3-0-0_113082_2018-04-26_final
2018-05-28 11:39:16	ga_ls7e_ard_3-0-0_113076_2018-05-28_final
2018-05-28 11:39:40	ga_ls7e_ard_3-0-0_113077_2018-05-28_final
2018-05-28 11:40:04	ga_ls7e_ard_3-0-0_113078_2018-05-28_final
2018-05-28 11:40:28	ga_ls7e_ard_3-0-0_113079_2018-05-28_final
2018-05-28 11:40:52	ga_ls7e_ard_3-0-0_113080_2018-05-28_final
2018-05-28 11:41:16	ga_ls7e_ard_3-0-0_113081_2018-05-28_final
2018-05-28 11:41:40	ga_ls7e_ard_3-0-0_113082_2018-05-28_final
2018-06-15 11:29:47	ga_ls7e_ard_3-0-0_111084_2018-06-15_final
2018-06-22 11:34:38	ga_ls7e_ard_3-0-0_112081_2018-06-22_final
2018-06-22 11:35:02	ga_ls7e_ard_3-0-0_112082_2018-06-22_final
2018-06-22 11:35:26	ga_ls7e_ard_3-0-0_112083_2018-06-22_final
2018-06-22 11:35:50	ga_ls7e_ard_3-0-0_112084_2018-06-22_final
2018-12-29 11:39:57	ga_ls7e_ard_3-0-0_114074_2018-12-29_final
2018-12-29 11:40:21	ga_ls7e_ard_3-0-0_114075_2018-12-29_final
2018-12-29 11:40:45	ga_ls7e_ard_3-0-0_114076_2018-12-29_final
2018-12-29 11:41:09	ga_ls7e_ard_3-0-0_114077_2018-12-29_final
2018-12-29 11:41:32	ga_ls7e_ard_3-0-0_114078_2018-12-29_final
2018-12-31 11:30:19	ga_ls7e_ard_3-0-0_112081_2018-12-31_final
2018-12-31 11:30:43	ga_ls7e_ard_3-0-0_112082_2018-12-31_final
2018-12-31 11:31:07	ga_ls7e_ard_3-0-0_112083_2018-12-31_final
2018-12-31 11:31:31	ga_ls7e_ard_3-1-0_112084_2018-12-31_final
2019-03-03 11:37:58	ga_ls7e_ard_3-1-0_114074_2019-03-03_final
2019-03-03 11:38:22	ga_ls7e_ard_3-1-0_114075_2019-03-03_final
2019-03-03 11:38:46	ga_ls7e_ard_3-1-0_114076_2019-03-03_final
2019-03-03 11:39:34	ga_ls7e_ard_3-1-0_114078_2019-03-03_final
2019-03-05 11:28:20	ga_ls7e_ard_3-1-0_112081_2019-03-05_final
2019-03-05 11:28:44	ga_ls7e_ard_3-1-0_112082_2019-03-05_final
2019-03-05 11:29:08	ga_ls7e_ard_3-1-0_112083_2019-03-05_final
2019-03-05 11:29:32	ga_ls7e_ard_3-1-0_112084_2019-03-05_final
2019-06-16 11:28:49	ga_ls7e_ard_3-0-0_113076_2019-06-16_final
2019-06-16 11:29:13	ga_ls7e_ard_3-0-0_113077_2019-06-16_final
2019-06-16 11:29:37	ga_ls7e_ard_3-0-0_113078_2019-06-16_final
2019-06-16 11:30:01	ga_ls7e_ard_3-0-0_113079_2019-06-16_final
2019-06-16 11:30:25	ga_ls7e_ard_3-0-0_113080_2019-06-16_final
2019-06-25 11:24:18	ga_ls7e_ard_3-0-0_112081_2019-06-25_final
2019-06-25 11:25:06	ga_ls7e_ard_3-0-0_112083_2019-06-25_final
2019-06-25 11:25:30	ga_ls7e_ard_3-1-0_112084_2019-06-25_final
2019-08-26 11:31:23	ga_ls7e_ard_3-1-0_114074_2019-08-26_final
2019-08-26 11:31:47	ga_ls7e_ard_3-1-0_114075_2019-08-26_final
2019-08-26 11:32:11	ga_ls7e_ard_3-1-0_114076_2019-08-26_final
2019-08-26 11:32:35	ga_ls7e_ard_3-1-0_114077_2019-08-26_final
2019-08-26 11:32:59	ga_ls7e_ard_3-1-0_114078_2019-08-26_final
2019-08-28 11:21:44	ga_ls7e_ard_3-1-0_112081_2019-08-28_final
2019-08-28 11:22:08	ga_ls7e_ard_3-1-0_112082_2019-08-28_final
2019-08-28 11:22:32	ga_ls7e_ard_3-1-0_112083_2019-08-28_final
2019-08-28 11:22:56	ga_ls7e_ard_3-1-0_112084_2019-08-28_final
2019-09-04 11:26:01	ga_ls7e_ard_3-1-0_113077_2019-09-04_final
2019-09-04 11:26:24	ga_ls7e_ard_3-1-0_113078_2019-09-04_final
2019-09-04 11:26:48	ga_ls7e_ard_3-1-0_113079_2019-09-04_final
2019-09-04 11:27:12	ga_ls7e_ard_3-1-0_113080_2019-09-04_final
2019-09-04 11:27:36	ga_ls7e_ard_3-1-0_113081_2019-09-04_final
2019-09-04 11:28:00	ga_ls7e_ard_3-1-0_113082_2019-09-04_final
2019-11-07 11:22:51	ga_ls7e_ard_3-1-0_113076_2019-11-07_final
2019-11-07 11:23:15	ga_ls7e_ard_3-1-0_113077_2019-11-07_final
2019-11-07 11:23:39	ga_ls7e_ard_3-1-0_113078_2019-11-07_final
2019-11-07 11:24:03	ga_ls7e_ard_3-1-0_113079_2019-11-07_final
2019-11-07 11:24:27	ga_ls7e_ard_3-1-0_113080_2019-11-07_final
2019-11-07 11:24:50	ga_ls7e_ard_3-1-0_113081_2019-11-07_final
2019-12-09 11:21:19	ga_ls7e_ard_3-1-0_113076_2019-12-09_final
2019-12-09 11:21:43	ga_ls7e_ard_3-1-0_113077_2019-12-09_final
2019-12-09 11:22:07	ga_ls7e_ard_3-1-0_113078_2019-12-09_final
2019-12-09 11:22:31	ga_ls7e_ard_3-1-0_113079_2019-12-09_final
2019-12-09 11:22:55	ga_ls7e_ard_3-1-0_113080_2019-12-09_final
2019-12-09 11:23:19	ga_ls7e_ard_3-1-0_113081_2019-12-09_final
2019-12-09 11:23:43	ga_ls7e_ard_3-1-0_113082_2019-12-09_final
2020-01-17 11:24:43	ga_ls7e_ard_3-1-0_114074_2020-01-17_final
2020-01-17 11:25:07	ga_ls7e_ard_3-1-0_114075_2020-01-17_final
2020-01-17 11:25:31	ga_ls7e_ard_3-1-0_114076_2020-01-17_final
2020-01-17 11:25:55	ga_ls7e_ard_3-1-0_114077_2020-01-17_final
2020-01-17 11:26:19	ga_ls7e_ard_3-1-0_114078_2020-01-17_final
2020-01-19 11:15:03	ga_ls7e_ard_3-1-0_112081_2020-01-19_final
2020-01-19 11:15:27	ga_ls7e_ard_3-1-0_112082_2020-01-19_final
2020-01-19 11:15:51	ga_ls7e_ard_3-1-0_112083_2020-01-19_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