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
2017-12-10 11:47:50	ga_ls7e_ard_3-0-0_114076_2017-12-10_final
2017-12-10 11:48:14	ga_ls7e_ard_3-0-0_114077_2017-12-10_final
2017-12-10 11:48:38	ga_ls7e_ard_3-0-0_114078_2017-12-10_final
2017-12-10 11:49:02	ga_ls7e_ard_3-0-0_114079_2017-12-10_final
2017-12-10 11:49:26	ga_ls7e_ard_3-0-0_114080_2017-12-10_final
2017-12-12 11:38:39	ga_ls7e_ard_3-1-0_112084_2017-12-12_final
2017-12-26 11:47:40	ga_ls7e_ard_3-0-0_114076_2017-12-26_final
2017-12-26 11:48:04	ga_ls7e_ard_3-0-0_114077_2017-12-26_final
2017-12-26 11:48:28	ga_ls7e_ard_3-0-0_114078_2017-12-26_final
2017-12-26 11:48:52	ga_ls7e_ard_3-0-0_114079_2017-12-26_final
2017-12-26 11:49:16	ga_ls7e_ard_3-0-0_114080_2017-12-26_final
2017-12-28 11:38:28	ga_ls7e_ard_3-0-0_112084_2017-12-28_final
2018-01-02 11:52:58	ga_ls7e_ard_3-0-0_115074_2018-01-02_final
2018-01-02 11:53:21	ga_ls7e_ard_3-0-0_115075_2018-01-02_final
2018-01-02 11:53:45	ga_ls7e_ard_3-0-0_115076_2018-01-02_final
2018-01-02 11:54:09	ga_ls7e_ard_3-1-0_115077_2018-01-02_final
2018-01-02 11:54:33	ga_ls7e_ard_3-0-0_115078_2018-01-02_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
2018-01-04 11:44:10	ga_ls7e_ard_3-0-0_113083_2018-01-04_final
2018-01-04 11:44:34	ga_ls7e_ard_3-0-0_113084_2018-01-04_final
2018-01-18 11:52:44	ga_ls7e_ard_3-0-0_115074_2018-01-18_final
2018-01-18 11:53:08	ga_ls7e_ard_3-0-0_115075_2018-01-18_final
2018-01-18 11:53:32	ga_ls7e_ard_3-0-0_115076_2018-01-18_final
2018-01-18 11:53:56	ga_ls7e_ard_3-1-0_115077_2018-01-18_final
2018-01-18 11:54:19	ga_ls7e_ard_3-0-0_115078_2018-01-18_final
2018-01-20 11:42:44	ga_ls7e_ard_3-0-0_113080_2018-01-20_final
2018-01-20 11:43:08	ga_ls7e_ard_3-0-0_113081_2018-01-20_final
2018-01-20 11:43:32	ga_ls7e_ard_3-0-0_113082_2018-01-20_final
2018-01-20 11:43:56	ga_ls7e_ard_3-0-0_113083_2018-01-20_final
2018-01-20 11:44:20	ga_ls7e_ard_3-0-0_113084_2018-01-20_final
2018-06-11 11:50:35	ga_ls7e_ard_3-0-0_115074_2018-06-11_final
2018-06-11 11:50:59	ga_ls7e_ard_3-0-0_115075_2018-06-11_final
2018-06-11 11:51:23	ga_ls7e_ard_3-0-0_115076_2018-06-11_final
2018-06-11 11:51:47	ga_ls7e_ard_3-1-0_115077_2018-06-11_final
2018-06-11 11:52:11	ga_ls7e_ard_3-0-0_115078_2018-06-11_final
2018-06-13 11:40:35	ga_ls7e_ard_3-0-0_113080_2018-06-13_final
2018-06-13 11:40:59	ga_ls7e_ard_3-0-0_113081_2018-06-13_final
2018-06-13 11:41:23	ga_ls7e_ard_3-0-0_113082_2018-06-13_final
2018-07-31 11:39:41	ga_ls7e_ard_3-0-0_113080_2018-07-31_final
2018-07-31 11:40:05	ga_ls7e_ard_3-0-0_113081_2018-07-31_final
2018-07-31 11:40:29	ga_ls7e_ard_3-0-0_113082_2018-07-31_final
2018-07-31 11:40:53	ga_ls7e_ard_3-0-0_113083_2018-07-31_final
2019-12-07 11:32:59	ga_ls7e_ard_3-1-0_115074_2019-12-07_final
2019-12-07 11:33:23	ga_ls7e_ard_3-1-0_115075_2019-12-07_final
2019-12-07 11:33:47	ga_ls7e_ard_3-1-0_115076_2019-12-07_final
2019-12-07 11:34:11	ga_ls7e_ard_3-1-0_115077_2019-12-07_final
2019-12-07 11:34:35	ga_ls7e_ard_3-1-0_115078_2019-12-07_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
2019-12-09 11:24:07	ga_ls7e_ard_3-1-0_113083_2019-12-09_final
2019-12-09 11:24:31	ga_ls7e_ard_3-1-0_113084_2019-12-09_final
2021-07-05 10:54:33	ga_ls7e_ard_3-2-0_115074_2021-07-05_final
2021-07-05 10:54:57	ga_ls7e_ard_3-2-0_115075_2021-07-05_final
2021-07-05 10:55:21	ga_ls7e_ard_3-2-0_115076_2021-07-05_final
2021-07-05 10:56:09	ga_ls7e_ard_3-2-0_115078_2021-07-05_final
2021-07-07 10:44:49	ga_ls7e_ard_3-2-0_113081_2021-07-07_final
2021-07-07 10:45:13	ga_ls7e_ard_3-2-0_113082_2021-07-07_final
2021-07-07 10:45:37	ga_ls7e_ard_3-2-0_113083_2021-07-07_final
2021-07-07 10:46:01	ga_ls7e_ard_3-2-0_113084_2021-07-07_final
2021-07-30 10:47:01	ga_ls7e_ard_3-2-0_114076_2021-07-30_final
2021-07-30 10:47:25	ga_ls7e_ard_3-2-0_114077_2021-07-30_final
2021-07-30 10:47:49	ga_ls7e_ard_3-2-0_114078_2021-07-30_final
2021-07-30 10:48:13	ga_ls7e_ard_3-2-0_114079_2021-07-30_final
2021-07-30 10:48:37	ga_ls7e_ard_3-2-0_114080_2021-07-30_final
2021-08-06 10:51:47	ga_ls7e_ard_3-2-0_115074_2021-08-06_final
2021-08-06 10:52:11	ga_ls7e_ard_3-2-0_115075_2021-08-06_final
2021-08-06 10:52:35	ga_ls7e_ard_3-2-0_115076_2021-08-06_final
2021-08-06 10:52:59	ga_ls7e_ard_3-2-0_115077_2021-08-06_final
2021-08-06 10:53:23	ga_ls7e_ard_3-2-0_115078_2021-08-06_final
2021-08-08 10:42:02	ga_ls7e_ard_3-2-0_113081_2021-08-08_final
2021-08-15 10:46:00	ga_ls7e_ard_3-2-0_114077_2021-08-15_final
2021-08-15 10:46:24	ga_ls7e_ard_3-2-0_114078_2021-08-15_final
2021-08-15 10:46:47	ga_ls7e_ard_3-2-0_114079_2021-08-15_final
2021-08-15 10:47:11	ga_ls7e_ard_3-2-0_114080_2021-08-15_final
2021-08-15 10:47:35	ga_ls7e_ard_3-2-0_114081_2021-08-15_final
2021-08-22 10:50:22	ga_ls7e_ard_3-2-0_115074_2021-08-22_final
2021-08-22 10:50:46	ga_ls7e_ard_3-2-0_115075_2021-08-22_final
2021-08-22 10:51:10	ga_ls7e_ard_3-2-0_115076_2021-08-22_final
2021-08-22 10:51:34	ga_ls7e_ard_3-2-0_115077_2021-08-22_final
2021-08-22 10:51:58	ga_ls7e_ard_3-2-0_115078_2021-08-22_final
2021-08-31 10:44:37	ga_ls7e_ard_3-2-0_114077_2021-08-31_final
2021-08-31 10:45:01	ga_ls7e_ard_3-2-0_114078_2021-08-31_final
2021-08-31 10:45:25	ga_ls7e_ard_3-2-0_114079_2021-08-31_final
2021-09-23 10:47:58	ga_ls7e_ard_3-2-0_115075_2021-09-23_final
2021-09-23 10:48:21	ga_ls7e_ard_3-2-0_115076_2021-09-23_final
2021-09-23 10:48:45	ga_ls7e_ard_3-2-0_115077_2021-09-23_final
2021-09-23 10:49:09	ga_ls7e_ard_3-2-0_115078_2021-09-23_final
2021-09-25 10:37:49	ga_ls7e_ard_3-2-0_113081_2021-09-25_final
2021-09-25 10:38:13	ga_ls7e_ard_3-2-0_113082_2021-09-25_final
2021-09-25 10:38:37	ga_ls7e_ard_3-2-0_113083_2021-09-25_final
2021-09-25 10:39:01	ga_ls7e_ard_3-2-0_113084_2021-09-25_final
2021-12-21 10:34:18	ga_ls7e_ard_3-2-1_114077_2021-12-21_final
2021-12-21 10:34:41	ga_ls7e_ard_3-2-1_114078_2021-12-21_final
2021-12-21 10:35:29	ga_ls7e_ard_3-2-1_114080_2021-12-21_final
2022-01-06 10:32:41	ga_ls7e_ard_3-2-1_114077_2022-01-06_final
2022-01-06 10:33:05	ga_ls7e_ard_3-2-1_114078_2022-01-06_final
2022-01-06 10:33:29	ga_ls7e_ard_3-2-1_114079_2022-01-06_final
2022-01-06 10:33:53	ga_ls7e_ard_3-2-1_114080_2022-01-06_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