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
2015-09-08 09:20:10	ga_ls7e_ard_3-0-0_090084_2015-09-07_final
2015-09-08 09:20:34	ga_ls7e_ard_3-1-0_090085_2015-09-07_final
2015-09-08 09:20:58	ga_ls7e_ard_3-0-0_090086_2015-09-07_final
2015-09-08 09:21:46	ga_ls7e_ard_3-0-0_090088_2015-09-07_final
2015-09-08 09:22:10	ga_ls7e_ard_3-0-0_090089_2015-09-07_final
2015-10-03 09:16:03	ga_ls7e_ard_3-1-0_089089_2015-10-02_final
2015-10-03 09:16:27	ga_ls7e_ard_3-0-0_089090_2015-10-02_final
2015-10-06 09:38:14	ga_ls7e_ard_3-1-0_094067_2015-10-06_final
2015-10-06 09:40:38	ga_ls7e_ard_3-0-0_094073_2015-10-06_final
2015-12-09 09:41:41	ga_ls7e_ard_3-0-0_094073_2015-12-09_final
2015-12-11 09:30:34	ga_ls7e_ard_3-0-0_092076_2015-12-11_final
2015-12-11 09:30:58	ga_ls7e_ard_3-0-0_092077_2015-12-11_final
2015-12-11 09:31:22	ga_ls7e_ard_3-0-0_092078_2015-12-11_final
2015-12-11 09:31:46	ga_ls7e_ard_3-0-0_092079_2015-12-11_final
2015-12-11 09:32:10	ga_ls7e_ard_3-0-0_092080_2015-12-11_final
2015-12-11 09:32:33	ga_ls7e_ard_3-0-0_092081_2015-12-11_final
2015-12-11 09:32:57	ga_ls7e_ard_3-0-0_092082_2015-12-11_final
2015-12-13 09:21:26	ga_ls7e_ard_3-0-0_090084_2015-12-12_final
2015-12-13 09:21:50	ga_ls7e_ard_3-1-0_090085_2015-12-12_final
2015-12-13 09:22:14	ga_ls7e_ard_3-0-0_090086_2015-12-12_final
2015-12-13 09:23:02	ga_ls7e_ard_3-0-0_090088_2015-12-12_final
2015-12-13 09:23:26	ga_ls7e_ard_3-0-0_090089_2015-12-12_final
2016-03-09 09:26:55	ga_ls7e_ard_3-0-0_091080_2016-03-08_final
2016-03-09 09:27:19	ga_ls7e_ard_3-0-0_091081_2016-03-08_final
2016-03-09 09:27:43	ga_ls7e_ard_3-0-0_091082_2016-03-08_final
2016-03-09 09:28:07	ga_ls7e_ard_3-0-0_091083_2016-03-08_final
2016-03-09 09:28:31	ga_ls7e_ard_3-0-0_091084_2016-03-08_final
2016-03-09 09:28:55	ga_ls7e_ard_3-0-0_091085_2016-03-08_final
2016-03-09 09:29:19	ga_ls7e_ard_3-1-0_091086_2016-03-08_final
2016-03-16 09:32:21	ga_ls7e_ard_3-0-0_092078_2016-03-16_final
2016-03-16 09:32:45	ga_ls7e_ard_3-0-0_092079_2016-03-16_final
2016-03-16 09:33:33	ga_ls7e_ard_3-0-0_092081_2016-03-16_final
2016-06-06 09:22:49	ga_ls7e_ard_3-0-0_090084_2016-06-05_final
2016-08-21 09:40:52	ga_ls7e_ard_3-0-0_094067_2016-08-21_final
2017-03-12 09:27:02	ga_ls7e_ard_3-0-0_091080_2017-03-11_final
2017-03-12 09:27:26	ga_ls7e_ard_3-0-0_091081_2017-03-11_final
2017-03-12 09:27:50	ga_ls7e_ard_3-0-0_091082_2017-03-11_final
2017-03-12 09:28:14	ga_ls7e_ard_3-0-0_091083_2017-03-11_final
2017-03-12 09:28:38	ga_ls7e_ard_3-0-0_091084_2017-03-11_final
2017-03-12 09:29:01	ga_ls7e_ard_3-0-0_091085_2017-03-11_final
2017-03-12 09:29:25	ga_ls7e_ard_3-1-0_091086_2017-03-11_final
2017-04-04 09:31:43	ga_ls7e_ard_3-0-0_092076_2017-04-04_final
2017-04-04 09:32:07	ga_ls7e_ard_3-0-0_092077_2017-04-04_final
2017-04-04 09:32:30	ga_ls7e_ard_3-0-0_092078_2017-04-04_final
2017-04-04 09:32:54	ga_ls7e_ard_3-0-0_092079_2017-04-04_final
2017-04-04 09:33:18	ga_ls7e_ard_3-0-0_092080_2017-04-04_final
2017-04-04 09:33:42	ga_ls7e_ard_3-0-0_092081_2017-04-04_final
2017-04-04 09:34:06	ga_ls7e_ard_3-0-0_092082_2017-04-04_final
2017-04-06 09:22:33	ga_ls7e_ard_3-0-0_090084_2017-04-05_final
2017-04-06 09:22:57	ga_ls7e_ard_3-1-0_090085_2017-04-05_final
2017-04-06 09:23:21	ga_ls7e_ard_3-0-0_090086_2017-04-05_final
2017-04-06 09:24:09	ga_ls7e_ard_3-0-0_090088_2017-04-05_final
2017-04-06 09:24:33	ga_ls7e_ard_3-0-0_090089_2017-04-05_final
2017-04-06 09:24:57	ga_ls7e_ard_3-0-0_090090_2017-04-05_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
2017-04-29 09:29:18	ga_ls7e_ard_3-0-0_091085_2017-04-28_final
2017-04-29 09:29:42	ga_ls7e_ard_3-1-0_091086_2017-04-28_final
2017-05-04 09:40:41	ga_ls7e_ard_3-1-0_094067_2017-05-04_final
2017-06-16 09:27:30	ga_ls7e_ard_3-0-0_091080_2017-06-15_final
2017-06-16 09:29:29	ga_ls7e_ard_3-0-0_091085_2017-06-15_final
2017-06-16 09:29:53	ga_ls7e_ard_3-1-0_091086_2017-06-15_final
2017-06-21 09:40:52	ga_ls7e_ard_3-1-0_094067_2017-06-21_final
2017-06-21 09:43:15	ga_ls7e_ard_3-0-0_094073_2017-06-21_final
2017-07-11 09:22:57	ga_ls7e_ard_3-0-0_090084_2017-07-10_final
2017-07-11 09:23:21	ga_ls7e_ard_3-1-0_090085_2017-07-10_final
2017-07-11 09:23:45	ga_ls7e_ard_3-0-0_090086_2017-07-10_final
2017-07-11 09:24:33	ga_ls7e_ard_3-0-0_090088_2017-07-10_final
2017-07-11 09:24:57	ga_ls7e_ard_3-0-0_090089_2017-07-10_final
2017-08-08 09:40:51	ga_ls7e_ard_3-0-0_094067_2017-08-08_final
2017-08-08 09:43:14	ga_ls7e_ard_3-0-0_094073_2017-08-08_final
2017-08-10 09:32:04	ga_ls7e_ard_3-0-0_092076_2017-08-10_final
2017-08-10 09:32:28	ga_ls7e_ard_3-0-0_092077_2017-08-10_final
2017-08-10 09:32:52	ga_ls7e_ard_3-0-0_092078_2017-08-10_final
2017-08-10 09:33:16	ga_ls7e_ard_3-0-0_092079_2017-08-10_final
2017-08-10 09:33:40	ga_ls7e_ard_3-0-0_092080_2017-08-10_final
2017-08-10 09:34:04	ga_ls7e_ard_3-0-0_092081_2017-08-10_final
2017-08-10 09:34:28	ga_ls7e_ard_3-0-0_092082_2017-08-10_final
2017-08-24 09:40:50	ga_ls7e_ard_3-1-0_094067_2017-08-24_final
2017-08-24 09:43:14	ga_ls7e_ard_3-0-0_094073_2017-08-24_final
2017-08-26 09:32:04	ga_ls7e_ard_3-0-0_092076_2017-08-26_final
2017-08-26 09:32:28	ga_ls7e_ard_3-0-0_092077_2017-08-26_final
2017-08-26 09:32:52	ga_ls7e_ard_3-0-0_092078_2017-08-26_final
2017-08-26 09:33:16	ga_ls7e_ard_3-0-0_092079_2017-08-26_final
2017-08-26 09:33:40	ga_ls7e_ard_3-0-0_092080_2017-08-26_final
2017-08-26 09:34:04	ga_ls7e_ard_3-0-0_092081_2017-08-26_final
2017-08-26 09:34:28	ga_ls7e_ard_3-0-0_092082_2017-08-26_final
2017-09-20 09:27:27	ga_ls7e_ard_3-0-0_091080_2017-09-19_final
2017-09-20 09:27:51	ga_ls7e_ard_3-0-0_091081_2017-09-19_final
2017-09-20 09:28:15	ga_ls7e_ard_3-0-0_091082_2017-09-19_final
2017-09-20 09:28:39	ga_ls7e_ard_3-0-0_091083_2017-09-19_final
2017-09-20 09:29:03	ga_ls7e_ard_3-0-0_091084_2017-09-19_final
2017-09-20 09:29:27	ga_ls7e_ard_3-0-0_091085_2017-09-19_final
2017-10-02 09:47:00	ga_ls7e_ard_3-0-0_095067_2017-10-02_final
2017-10-04 09:37:26	ga_ls7e_ard_3-0-0_093074_2017-10-04_final
2017-10-04 09:37:50	ga_ls7e_ard_3-0-0_093075_2017-10-04_final
2017-10-04 09:38:14	ga_ls7e_ard_3-0-0_093076_2017-10-04_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