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
2010-07-01 09:06:42	ga_ls7e_ard_3-0-0_089085_2010-06-30_final
2010-07-01 09:07:06	ga_ls7e_ard_3-0-0_089086_2010-06-30_final
2010-07-01 09:08:18	ga_ls7e_ard_3-0-0_089089_2010-06-30_final
2010-07-01 09:08:42	ga_ls7e_ard_3-0-0_089090_2010-06-30_final
2010-07-22 09:21:17	ga_ls7e_ard_3-0-0_092075_2010-07-21_final
2010-07-22 09:21:41	ga_ls7e_ard_3-0-0_092076_2010-07-21_final
2010-07-22 09:22:05	ga_ls7e_ard_3-0-0_092077_2010-07-21_final
2010-07-22 09:22:29	ga_ls7e_ard_3-0-0_092078_2010-07-21_final
2010-07-22 09:22:53	ga_ls7e_ard_3-0-0_092079_2010-07-21_final
2010-07-24 09:11:43	ga_ls7e_ard_3-0-0_090082_2010-07-23_final
2010-07-24 09:12:07	ga_ls7e_ard_3-0-0_090083_2010-07-23_final
2010-07-24 09:12:31	ga_ls7e_ard_3-0-0_090084_2010-07-23_final
2010-07-24 09:12:55	ga_ls7e_ard_3-0-0_090085_2010-07-23_final
2010-07-24 09:13:19	ga_ls7e_ard_3-0-0_090086_2010-07-23_final
2011-01-16 09:12:47	ga_ls7e_ard_3-0-0_090082_2011-01-15_final
2011-01-16 09:13:11	ga_ls7e_ard_3-0-0_090083_2011-01-15_final
2011-01-16 09:13:35	ga_ls7e_ard_3-0-0_090084_2011-01-15_final
2011-01-16 09:13:59	ga_ls7e_ard_3-1-0_090085_2011-01-15_final
2011-01-16 09:14:23	ga_ls7e_ard_3-0-0_090086_2011-01-15_final
2017-11-23 09:26:38	ga_ls7e_ard_3-0-0_091078_2017-11-22_final
2017-11-23 09:27:02	ga_ls7e_ard_3-0-0_091079_2017-11-22_final
2017-11-23 09:27:25	ga_ls7e_ard_3-0-0_091080_2017-11-22_final
2017-11-23 09:27:49	ga_ls7e_ard_3-0-0_091081_2017-11-22_final
2017-11-23 09:28:13	ga_ls7e_ard_3-0-0_091082_2017-11-22_final
2017-11-23 09:28:37	ga_ls7e_ard_3-0-0_091083_2017-11-22_final
2017-12-30 09:40:25	ga_ls7e_ard_3-1-0_094067_2017-12-30_final
2018-01-03 09:21:38	ga_ls7e_ard_3-1-0_090082_2018-01-02_final
2018-01-03 09:22:02	ga_ls7e_ard_3-0-0_090083_2018-01-02_final
2018-01-03 09:22:26	ga_ls7e_ard_3-0-0_090084_2018-01-02_final
2018-01-03 09:22:50	ga_ls7e_ard_3-0-0_090085_2018-01-02_final
2018-01-03 09:23:14	ga_ls7e_ard_3-0-0_090086_2018-01-02_final
2018-05-16 09:35:03	ga_ls7e_ard_3-0-0_093074_2018-05-16_final
2018-05-16 09:35:27	ga_ls7e_ard_3-0-0_093075_2018-05-16_final
2018-05-18 09:24:15	ga_ls7e_ard_3-0-0_091078_2018-05-17_final
2018-05-18 09:24:39	ga_ls7e_ard_3-0-0_091079_2018-05-17_final
2018-05-18 09:25:03	ga_ls7e_ard_3-0-0_091080_2018-05-17_final
2018-05-18 09:25:27	ga_ls7e_ard_3-0-0_091081_2018-05-17_final
2018-05-18 09:25:51	ga_ls7e_ard_3-0-0_091082_2018-05-17_final
2018-05-18 09:26:15	ga_ls7e_ard_3-0-0_091083_2018-05-17_final
2018-05-18 09:26:39	ga_ls7e_ard_3-0-0_091084_2018-05-17_final
2018-06-21 09:14:30	ga_ls7e_ard_3-0-0_089086_2018-06-20_final
2018-06-24 09:37:46	ga_ls7e_ard_3-1-0_094067_2018-06-24_final
2018-06-26 09:29:45	ga_ls7e_ard_3-0-0_092078_2018-06-25_final
2018-06-26 09:30:09	ga_ls7e_ard_3-1-0_092079_2018-06-26_final
2018-07-07 09:14:11	ga_ls7e_ard_3-0-0_089086_2018-07-06_final
2018-07-12 09:28:14	ga_ls7e_ard_3-0-0_092075_2018-07-11_final
2018-07-12 09:28:38	ga_ls7e_ard_3-0-0_092076_2018-07-11_final
2018-07-12 09:29:02	ga_ls7e_ard_3-0-0_092077_2018-07-11_final
2018-07-12 09:29:26	ga_ls7e_ard_3-0-0_092078_2018-07-11_final
2018-07-14 09:18:38	ga_ls7e_ard_3-1-0_090082_2018-07-13_final
2018-07-14 09:19:02	ga_ls7e_ard_3-0-0_090083_2018-07-13_final
2018-07-14 09:19:26	ga_ls7e_ard_3-0-0_090084_2018-07-13_final
2018-07-14 09:19:50	ga_ls7e_ard_3-0-0_090085_2018-07-13_final
2018-07-14 09:20:14	ga_ls7e_ard_3-0-0_090086_2018-07-13_final
2018-08-11 09:36:53	ga_ls7e_ard_3-1-0_094067_2018-08-11_final
2018-08-13 09:27:40	ga_ls7e_ard_3-0-0_092075_2018-08-12_final
2018-08-13 09:28:04	ga_ls7e_ard_3-0-0_092076_2018-08-12_final
2018-08-13 09:28:28	ga_ls7e_ard_3-0-0_092077_2018-08-12_final
2018-08-13 09:28:52	ga_ls7e_ard_3-0-0_092078_2018-08-12_final
2018-08-13 09:29:16	ga_ls7e_ard_3-0-0_092079_2018-08-12_final
2018-08-15 09:18:04	ga_ls7e_ard_3-1-0_090082_2018-08-14_final
2018-08-15 09:18:28	ga_ls7e_ard_3-0-0_090083_2018-08-14_final
2018-08-15 09:18:52	ga_ls7e_ard_3-0-0_090084_2018-08-14_final
2018-08-15 09:19:16	ga_ls7e_ard_3-1-0_090085_2018-08-14_final
2018-08-15 09:19:40	ga_ls7e_ard_3-0-0_090086_2018-08-14_final
2020-09-05 08:46:05	ga_ls7e_ard_3-1-0_090082_2020-09-04_final
2020-09-05 08:46:29	ga_ls7e_ard_3-1-0_090083_2020-09-04_final
2020-09-10 09:01:06	ga_ls7e_ard_3-1-0_093074_2020-09-09_final
2020-09-10 09:01:30	ga_ls7e_ard_3-1-0_093075_2020-09-09_final
2020-11-22 08:50:28	ga_ls7e_ard_3-1-0_092075_2020-11-21_final
2020-11-22 08:50:52	ga_ls7e_ard_3-1-0_092076_2020-11-21_final
2020-11-22 08:51:16	ga_ls7e_ard_3-1-0_092077_2020-11-21_final
2020-11-22 08:51:40	ga_ls7e_ard_3-1-0_092078_2020-11-21_final
2020-11-22 08:52:04	ga_ls7e_ard_3-1-0_092079_2020-11-21_final
2020-11-24 08:40:46	ga_ls7e_ard_3-1-0_090082_2020-11-23_final
2020-11-24 08:41:58	ga_ls7e_ard_3-1-0_090085_2020-11-23_final
2020-11-24 08:42:22	ga_ls7e_ard_3-1-0_090086_2020-11-23_final
2020-11-29 08:55:45	ga_ls7e_ard_3-1-0_093074_2020-11-28_final
2020-11-29 08:56:09	ga_ls7e_ard_3-1-0_093075_2020-11-28_final
2020-12-01 08:44:50	ga_ls7e_ard_3-1-0_091078_2020-11-30_final
2020-12-01 08:45:14	ga_ls7e_ard_3-1-0_091079_2020-11-30_final
2020-12-01 08:45:38	ga_ls7e_ard_3-1-0_091080_2020-11-30_final
2020-12-01 08:46:02	ga_ls7e_ard_3-1-0_091081_2020-11-30_final
2020-12-01 08:46:26	ga_ls7e_ard_3-1-0_091082_2020-11-30_final
2020-12-01 08:46:50	ga_ls7e_ard_3-1-0_091083_2020-11-30_final
2020-12-01 08:47:14	ga_ls7e_ard_3-1-0_091084_2020-11-30_final
2020-12-15 08:54:33	ga_ls7e_ard_3-1-0_093074_2020-12-14_final
2020-12-15 08:54:57	ga_ls7e_ard_3-1-0_093075_2020-12-14_final
2020-12-17 08:44:02	ga_ls7e_ard_3-1-0_091079_2020-12-16_final
2020-12-17 08:44:26	ga_ls7e_ard_3-1-0_091080_2020-12-16_final
2020-12-17 08:45:14	ga_ls7e_ard_3-1-0_091082_2020-12-16_final
2020-12-22 08:57:24	ga_ls7e_ard_3-1-0_094067_2020-12-21_final
2020-12-24 08:48:54	ga_ls7e_ard_3-1-0_092077_2020-12-23_final
2020-12-24 08:49:18	ga_ls7e_ard_3-1-0_092078_2020-12-23_final
2021-01-02 08:42:30	ga_ls7e_ard_3-1-0_091078_2021-01-01_final
2021-01-02 08:42:54	ga_ls7e_ard_3-1-0_091079_2021-01-01_final
2021-01-02 08:43:18	ga_ls7e_ard_3-1-0_091080_2021-01-01_final
2021-01-02 08:43:42	ga_ls7e_ard_3-1-0_091081_2021-01-01_final
2021-01-02 08:44:06	ga_ls7e_ard_3-1-0_091082_2021-01-01_final
2021-01-02 08:44:30	ga_ls7e_ard_3-1-0_091083_2021-01-01_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