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
2017-03-21 09:23:17	ga_ls7e_ard_3-0-0_090086_2017-03-20_final
2017-03-21 09:24:05	ga_ls7e_ard_3-0-0_090088_2017-03-20_final
2017-03-26 09:37:52	ga_ls7e_ard_3-0-0_093076_2017-03-26_final
2017-03-28 09:26:42	ga_ls7e_ard_3-0-0_091079_2017-03-27_final
2017-03-28 09:27:06	ga_ls7e_ard_3-0-0_091080_2017-03-27_final
2017-03-28 09:27:30	ga_ls7e_ard_3-0-0_091081_2017-03-27_final
2017-03-28 09:27:54	ga_ls7e_ard_3-0-0_091082_2017-03-27_final
2017-03-28 09:28:18	ga_ls7e_ard_3-0-0_091083_2017-03-27_final
2017-03-28 09:28:42	ga_ls7e_ard_3-0-0_091084_2017-03-27_final
2017-04-15 09:17:15	ga_ls7e_ard_3-0-0_089086_2017-04-14_final
2017-04-18 09:40:36	ga_ls7e_ard_3-1-0_094067_2017-04-18_final
2017-04-29 09:26:30	ga_ls7e_ard_3-0-0_091078_2017-04-28_final
2017-04-29 09:26:54	ga_ls7e_ard_3-0-0_091079_2017-04-28_final
2017-04-29 09:27:18	ga_ls7e_ard_3-0-0_091080_2017-04-28_final
2017-04-29 09:27:42	ga_ls7e_ard_3-1-0_091081_2017-04-28_final
2017-04-29 09:28:06	ga_ls7e_ard_3-0-0_091082_2017-04-28_final
2017-04-29 09:28:30	ga_ls7e_ard_3-0-0_091083_2017-04-28_final
2017-04-29 09:28:54	ga_ls7e_ard_3-0-0_091084_2017-04-28_final
2017-05-01 09:17:21	ga_ls7e_ard_3-0-0_089086_2017-04-30_final
2017-05-04 09:40:41	ga_ls7e_ard_3-1-0_094067_2017-05-04_final
2017-06-23 09:31:42	ga_ls7e_ard_3-0-0_092075_2017-06-23_final
2017-06-23 09:32:06	ga_ls7e_ard_3-0-0_092076_2017-06-23_final
2017-06-23 09:32:30	ga_ls7e_ard_3-0-0_092077_2017-06-23_final
2017-06-23 09:32:54	ga_ls7e_ard_3-0-0_092078_2017-06-23_final
2017-06-23 09:33:18	ga_ls7e_ard_3-0-0_092079_2017-06-23_final
2017-06-23 09:33:42	ga_ls7e_ard_3-0-0_092080_2017-06-23_final
2018-02-25 09:36:15	ga_ls7e_ard_3-0-0_093074_2018-02-25_final
2018-03-29 09:35:51	ga_ls7e_ard_3-0-0_093074_2018-03-29_final
2018-03-29 09:36:15	ga_ls7e_ard_3-0-0_093075_2018-03-29_final
2018-03-29 09:36:39	ga_ls7e_ard_3-0-0_093076_2018-03-29_final
2018-03-31 09:25:28	ga_ls7e_ard_3-0-0_091079_2018-03-30_final
2018-03-31 09:25:51	ga_ls7e_ard_3-0-0_091080_2018-03-30_final
2018-03-31 09:26:15	ga_ls7e_ard_3-0-0_091081_2018-03-30_final
2018-03-31 09:26:39	ga_ls7e_ard_3-0-0_091082_2018-03-30_final
2018-03-31 09:27:03	ga_ls7e_ard_3-0-0_091083_2018-03-30_final
2018-03-31 09:27:27	ga_ls7e_ard_3-0-0_091084_2018-03-30_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
2018-08-15 09:20:28	ga_ls7e_ard_3-0-0_090088_2018-08-14_final
2021-06-09 08:40:45	ga_ls7e_ard_3-2-0_093074_2021-06-08_final
2021-06-09 08:41:08	ga_ls7e_ard_3-2-0_093075_2021-06-08_final
2021-06-09 08:41:32	ga_ls7e_ard_3-2-0_093076_2021-06-08_final
2021-06-11 08:30:13	ga_ls7e_ard_3-2-0_091079_2021-06-10_final
2021-06-11 08:30:37	ga_ls7e_ard_3-2-0_091080_2021-06-10_final
2021-06-11 08:31:01	ga_ls7e_ard_3-2-0_091081_2021-06-10_final
2021-06-11 08:31:25	ga_ls7e_ard_3-2-0_091082_2021-06-10_final
2021-06-11 08:32:13	ga_ls7e_ard_3-2-0_091084_2021-06-10_final
2021-06-11 08:32:37	ga_ls7e_ard_3-2-0_091085_2021-06-10_final
2021-06-16 08:43:34	ga_ls7e_ard_3-2-0_094067_2021-06-15_final
2021-06-29 08:19:10	ga_ls7e_ard_3-2-0_089086_2021-06-28_final
2021-07-02 08:42:14	ga_ls7e_ard_3-2-0_094067_2021-07-01_final
2021-07-06 08:23:34	ga_ls7e_ard_3-2-0_090083_2021-07-05_final
2021-07-06 08:23:58	ga_ls7e_ard_3-2-0_090084_2021-07-05_final
2021-07-06 08:24:22	ga_ls7e_ard_3-2-0_090085_2021-07-05_final
2021-07-06 08:24:46	ga_ls7e_ard_3-2-0_090086_2021-07-05_final
2021-07-06 08:25:33	ga_ls7e_ard_3-2-0_090088_2021-07-05_final
2021-08-03 08:39:29	ga_ls7e_ard_3-2-0_094067_2021-08-02_final
2021-08-05 08:30:08	ga_ls7e_ard_3-2-0_092075_2021-08-04_final
2021-08-05 08:30:32	ga_ls7e_ard_3-2-0_092076_2021-08-04_final
2021-08-05 08:30:56	ga_ls7e_ard_3-2-0_092077_2021-08-04_final
2021-08-05 08:31:20	ga_ls7e_ard_3-2-0_092078_2021-08-04_final
2021-08-05 08:31:44	ga_ls7e_ard_3-2-0_092079_2021-08-04_final
2021-08-05 08:32:08	ga_ls7e_ard_3-2-0_092080_2021-08-04_final
2021-08-07 08:20:47	ga_ls7e_ard_3-2-0_090083_2021-08-06_final
2021-08-07 08:21:11	ga_ls7e_ard_3-2-0_090084_2021-08-06_final
2021-08-07 08:21:35	ga_ls7e_ard_3-2-0_090085_2021-08-06_final
2021-08-07 08:21:59	ga_ls7e_ard_3-2-0_090086_2021-08-06_final
2021-08-07 08:22:47	ga_ls7e_ard_3-2-0_090088_2021-08-06_final
2021-08-14 08:25:09	ga_ls7e_ard_3-2-0_091080_2021-08-13_final
2021-08-14 08:25:33	ga_ls7e_ard_3-2-0_091081_2021-08-13_final
2021-08-14 08:25:56	ga_ls7e_ard_3-2-0_091082_2021-08-13_final
2021-08-14 08:26:44	ga_ls7e_ard_3-2-0_091084_2021-08-13_final
2021-08-14 08:27:08	ga_ls7e_ard_3-2-0_091085_2021-08-13_final
2021-08-16 08:15:00	ga_ls7e_ard_3-2-0_089086_2021-08-15_final
2021-08-19 08:38:03	ga_ls7e_ard_3-2-0_094067_2021-08-18_final
2021-10-03 08:10:47	ga_ls7e_ard_3-2-0_089086_2021-10-02_final
2021-10-06 08:33:50	ga_ls7e_ard_3-2-0_094067_2021-10-05_final
2021-10-08 08:24:30	ga_ls7e_ard_3-2-0_092075_2021-10-07_final
2021-10-08 08:24:54	ga_ls7e_ard_3-2-0_092076_2021-10-07_final
2021-10-08 08:25:18	ga_ls7e_ard_3-2-0_092077_2021-10-07_final
2021-10-08 08:25:42	ga_ls7e_ard_3-2-0_092078_2021-10-07_final
2021-10-08 08:26:06	ga_ls7e_ard_3-2-0_092079_2021-10-07_final
2021-10-08 08:26:29	ga_ls7e_ard_3-2-0_092080_2021-10-07_final
2021-10-10 08:15:09	ga_ls7e_ard_3-2-0_090083_2021-10-09_final
2021-10-10 08:15:33	ga_ls7e_ard_3-2-0_090084_2021-10-09_final
2021-10-10 08:15:57	ga_ls7e_ard_3-2-0_090085_2021-10-09_final
2021-10-10 08:16:21	ga_ls7e_ard_3-2-0_090086_2021-10-09_final
2021-10-10 08:17:09	ga_ls7e_ard_3-2-0_090088_2021-10-09_final
2021-10-15 08:29:39	ga_ls7e_ard_3-2-0_093074_2021-10-14_final
2021-10-15 08:30:03	ga_ls7e_ard_3-2-0_093075_2021-10-14_final
2021-10-15 08:30:27	ga_ls7e_ard_3-2-0_093076_2021-10-14_final
2021-10-17 08:19:07	ga_ls7e_ard_3-2-0_091079_2021-10-16_final
2021-10-17 08:19:31	ga_ls7e_ard_3-2-0_091080_2021-10-16_final
2021-10-17 08:19:55	ga_ls7e_ard_3-2-0_091081_2021-10-16_final
2021-10-17 08:20:19	ga_ls7e_ard_3-2-0_091082_2021-10-16_final
2021-10-17 08:20:43	ga_ls7e_ard_3-2-0_091083_2021-10-16_final
2021-10-17 08:21:06	ga_ls7e_ard_3-2-0_091084_2021-10-16_final
2021-10-17 08:21:30	ga_ls7e_ard_3-2-0_091085_2021-10-16_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