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
2007-03-26 09:12:25	ga_ls7e_ard_3-0-0_090088_2007-03-25_final
2007-03-26 09:12:49	ga_ls7e_ard_3-0-0_090089_2007-03-25_final
2007-03-26 09:13:13	ga_ls7e_ard_3-0-0_090090_2007-03-25_final
2007-03-29 09:34:57	ga_ls7e_ard_3-0-0_095067_2007-03-29_final
2007-06-05 09:16:20	ga_ls7e_ard_3-0-0_091083_2007-06-04_final
2007-06-05 09:16:44	ga_ls7e_ard_3-0-0_091084_2007-06-04_final
2007-06-05 09:17:08	ga_ls7e_ard_3-0-0_091085_2007-06-04_final
2007-06-05 09:17:32	ga_ls7e_ard_3-1-0_091086_2007-06-04_final
2007-06-05 09:17:56	ga_ls7e_ard_3-0-0_091087_2007-06-04_final
2007-06-05 09:18:20	ga_ls7e_ard_3-0-0_091088_2007-06-04_final
2012-03-23 09:16:01	ga_ls7e_ard_3-0-0_090088_2012-03-22_final
2012-03-23 09:16:25	ga_ls7e_ard_3-0-0_090089_2012-03-22_final
2012-03-23 09:16:49	ga_ls7e_ard_3-0-0_090090_2012-03-22_final
2012-03-26 09:38:32	ga_ls7e_ard_3-0-0_095067_2012-03-26_final
2012-04-15 09:20:08	ga_ls7e_ard_3-0-0_091083_2012-04-14_final
2012-04-15 09:20:32	ga_ls7e_ard_3-0-0_091084_2012-04-14_final
2012-04-15 09:20:55	ga_ls7e_ard_3-0-0_091085_2012-04-14_final
2012-04-15 09:21:19	ga_ls7e_ard_3-1-0_091086_2012-04-14_final
2012-04-15 09:21:43	ga_ls7e_ard_3-0-0_091087_2012-04-14_final
2012-04-15 09:22:07	ga_ls7e_ard_3-0-0_091088_2012-04-14_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
2017-04-04 09:34:30	ga_ls7e_ard_3-0-0_092083_2017-04-04_final
2017-04-04 09:34:54	ga_ls7e_ard_3-0-0_092084_2017-04-04_final
2017-04-04 09:35:18	ga_ls7e_ard_3-0-0_092085_2017-04-04_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
2017-06-21 09:43:15	ga_ls7e_ard_3-0-0_094073_2017-06-21_final
2017-06-21 09:43:39	ga_ls7e_ard_3-0-0_094074_2017-06-21_final
2017-06-21 09:44:03	ga_ls7e_ard_3-0-0_094075_2017-06-21_final
2017-06-21 09:44:27	ga_ls7e_ard_3-0-0_094076_2017-06-21_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
2017-09-20 09:30:14	ga_ls7e_ard_3-0-0_091087_2017-09-20_final
2017-09-20 09:30:38	ga_ls7e_ard_3-0-0_091088_2017-09-20_final
2017-11-14 09:33:15	ga_ls7e_ard_3-0-0_092079_2017-11-14_final
2017-11-14 09:33:39	ga_ls7e_ard_3-0-0_092080_2017-11-14_final
2017-11-14 09:34:03	ga_ls7e_ard_3-0-0_092081_2017-11-14_final
2017-11-14 09:34:27	ga_ls7e_ard_3-0-0_092082_2017-11-14_final
2017-11-14 09:34:51	ga_ls7e_ard_3-1-0_092083_2017-11-14_final
2017-11-14 09:35:15	ga_ls7e_ard_3-0-0_092084_2017-11-14_final
2017-11-14 09:35:39	ga_ls7e_ard_3-0-0_092085_2017-11-14_final
2017-11-16 09:23:41	ga_ls7e_ard_3-0-0_090086_2017-11-15_final
2017-11-16 09:24:29	ga_ls7e_ard_3-0-0_090088_2017-11-15_final
2017-11-16 09:24:53	ga_ls7e_ard_3-0-0_090089_2017-11-15_final
2017-12-09 09:30:30	ga_ls7e_ard_3-0-0_091088_2017-12-09_final
2018-01-06 09:46:30	ga_ls7e_ard_3-0-0_095067_2018-01-06_final
2018-01-08 09:37:19	ga_ls7e_ard_3-0-0_093075_2018-01-08_final
2018-01-08 09:37:43	ga_ls7e_ard_3-0-0_093076_2018-01-08_final
2018-01-08 09:38:07	ga_ls7e_ard_3-0-0_093077_2018-01-08_final
2018-01-08 09:38:30	ga_ls7e_ard_3-0-0_093078_2018-01-08_final
2018-01-08 09:38:54	ga_ls7e_ard_3-0-0_093079_2018-01-08_final
2018-01-08 09:39:18	ga_ls7e_ard_3-0-0_093080_2018-01-08_final
2018-01-08 09:39:42	ga_ls7e_ard_3-0-0_093081_2018-01-08_final
2018-01-10 09:28:07	ga_ls7e_ard_3-0-0_091083_2018-01-09_final
2018-01-10 09:28:31	ga_ls7e_ard_3-0-0_091084_2018-01-09_final
2018-01-10 09:28:55	ga_ls7e_ard_3-0-0_091085_2018-01-09_final
2018-01-10 09:29:19	ga_ls7e_ard_3-1-0_091086_2018-01-09_final
2018-01-10 09:29:43	ga_ls7e_ard_3-0-0_091087_2018-01-09_final
2018-01-10 09:30:31	ga_ls7e_ard_3-0-0_091089_2018-01-10_final
2018-04-16 09:26:48	ga_ls7e_ard_3-0-0_091083_2018-04-15_final
2018-04-16 09:27:36	ga_ls7e_ard_3-0-0_091085_2018-04-15_final
2018-04-16 09:28:00	ga_ls7e_ard_3-1-0_091086_2018-04-15_final
2018-04-16 09:28:48	ga_ls7e_ard_3-0-0_091088_2018-04-15_final
2018-04-16 09:29:12	ga_ls7e_ard_3-0-0_091089_2018-04-15_final
2018-04-21 09:41:16	ga_ls7e_ard_3-0-0_094073_2018-04-21_final
2018-04-21 09:41:40	ga_ls7e_ard_3-0-0_094074_2018-04-21_final
2018-04-21 09:42:04	ga_ls7e_ard_3-0-0_094075_2018-04-21_final
2018-04-21 09:42:28	ga_ls7e_ard_3-0-0_094076_2018-04-21_final
2018-08-22 09:24:54	ga_ls7e_ard_3-0-0_091084_2018-08-21_final
2018-08-22 09:25:18	ga_ls7e_ard_3-0-0_091085_2018-08-21_final
2018-08-22 09:25:42	ga_ls7e_ard_3-1-0_091086_2018-08-21_final
2018-08-22 09:26:06	ga_ls7e_ard_3-0-0_091087_2018-08-21_final
2018-08-22 09:26:30	ga_ls7e_ard_3-0-0_091088_2018-08-21_final
2018-08-22 09:26:54	ga_ls7e_ard_3-0-0_091089_2018-08-21_final
2018-08-27 09:38:57	ga_ls7e_ard_3-0-0_094073_2018-08-27_final
2018-08-27 09:39:21	ga_ls7e_ard_3-0-0_094074_2018-08-27_final
2018-08-27 09:39:45	ga_ls7e_ard_3-0-0_094075_2018-08-27_final
2018-08-27 09:40:09	ga_ls7e_ard_3-0-0_094076_2018-08-27_final
2018-08-29 09:28:57	ga_ls7e_ard_3-0-0_092079_2018-08-28_final
2018-08-29 09:29:21	ga_ls7e_ard_3-0-0_092080_2018-08-28_final
2018-08-29 09:29:45	ga_ls7e_ard_3-0-0_092081_2018-08-28_final
2018-08-29 09:30:33	ga_ls7e_ard_3-0-0_092083_2018-08-29_final
2018-08-29 09:30:57	ga_ls7e_ard_3-0-0_092084_2018-08-29_final
2018-08-29 09:31:21	ga_ls7e_ard_3-0-0_092085_2018-08-29_final
2019-06-15 09:11:30	ga_ls7e_ard_3-0-0_090088_2019-06-14_final
2019-06-15 09:11:54	ga_ls7e_ard_3-0-0_090089_2019-06-14_final
2019-06-15 09:12:18	ga_ls7e_ard_3-0-0_090090_2019-06-14_final
2019-08-09 09:14:21	ga_ls7e_ard_3-0-0_091085_2019-08-08_final
2019-08-09 09:14:45	ga_ls7e_ard_3-1-0_091086_2019-08-08_final
2019-08-09 09:15:08	ga_ls7e_ard_3-0-0_091087_2019-08-08_final
2019-08-09 09:15:32	ga_ls7e_ard_3-0-0_091088_2019-08-08_final
2019-08-09 09:15:56	ga_ls7e_ard_3-0-0_091089_2019-08-08_final
2019-09-29 09:35:52	ga_ls7e_ard_3-1-0_096067_2019-09-29_final
2019-11-06 09:05:32	ga_ls7e_ard_3-1-0_090088_2019-11-05_final
2019-11-06 09:05:56	ga_ls7e_ard_3-1-0_090089_2019-11-05_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