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
2016-07-31 09:28:41	ga_ls7e_ard_3-0-0_091083_2016-07-30_final
2016-07-31 09:29:05	ga_ls7e_ard_3-0-0_091084_2016-07-30_final
2016-07-31 09:29:29	ga_ls7e_ard_3-0-0_091085_2016-07-30_final
2016-07-31 09:30:17	ga_ls7e_ard_3-0-0_091087_2016-07-31_final
2016-07-31 09:30:41	ga_ls7e_ard_3-0-0_091088_2016-07-31_final
2016-07-31 09:31:05	ga_ls7e_ard_3-1-0_091089_2016-07-31_final
2016-08-03 09:53:12	ga_ls7e_ard_3-0-0_096067_2016-08-03_final
2016-12-11 09:43:29	ga_ls7e_ard_3-0-0_094074_2016-12-11_final
2017-02-24 09:28:07	ga_ls7e_ard_3-0-0_091083_2017-02-23_final
2017-02-24 09:28:30	ga_ls7e_ard_3-0-0_091084_2017-02-23_final
2017-02-24 09:28:54	ga_ls7e_ard_3-0-0_091085_2017-02-23_final
2017-02-24 09:29:18	ga_ls7e_ard_3-1-0_091086_2017-02-23_final
2017-02-24 09:30:30	ga_ls7e_ard_3-0-0_091089_2017-02-24_final
2017-07-16 09:37:54	ga_ls7e_ard_3-0-0_093075_2017-07-16_final
2017-07-16 09:38:18	ga_ls7e_ard_3-0-0_093076_2017-07-16_final
2017-07-16 09:38:42	ga_ls7e_ard_3-0-0_093077_2017-07-16_final
2017-07-16 09:39:06	ga_ls7e_ard_3-0-0_093078_2017-07-16_final
2017-07-16 09:39:30	ga_ls7e_ard_3-0-0_093079_2017-07-16_final
2017-07-16 09:39:54	ga_ls7e_ard_3-0-0_093080_2017-07-16_final
2017-07-16 09:40:18	ga_ls7e_ard_3-0-0_093081_2017-07-16_final
2017-07-18 09:28:44	ga_ls7e_ard_3-0-0_091083_2017-07-17_final
2017-07-18 09:29:08	ga_ls7e_ard_3-0-0_091084_2017-07-17_final
2017-07-18 09:29:32	ga_ls7e_ard_3-0-0_091085_2017-07-17_final
2017-07-18 09:30:20	ga_ls7e_ard_3-0-0_091087_2017-07-18_final
2017-08-17 09:37:51	ga_ls7e_ard_3-0-0_093075_2017-08-17_final
2017-08-17 09:38:15	ga_ls7e_ard_3-0-0_093076_2017-08-17_final
2017-08-17 09:38:39	ga_ls7e_ard_3-0-0_093077_2017-08-17_final
2017-08-17 09:39:02	ga_ls7e_ard_3-0-0_093078_2017-08-17_final
2017-08-17 09:39:26	ga_ls7e_ard_3-0-0_093079_2017-08-17_final
2017-08-17 09:39:50	ga_ls7e_ard_3-0-0_093080_2017-08-17_final
2017-08-17 09:40:14	ga_ls7e_ard_3-0-0_093081_2017-08-17_final
2017-08-19 09:29:05	ga_ls7e_ard_3-0-0_091084_2017-08-18_final
2017-08-19 09:29:29	ga_ls7e_ard_3-0-0_091085_2017-08-18_final
2017-08-19 09:29:53	ga_ls7e_ard_3-1-0_091086_2017-08-18_final
2017-08-19 09:30:17	ga_ls7e_ard_3-0-0_091087_2017-08-19_final
2017-08-19 09:30:41	ga_ls7e_ard_3-0-0_091088_2017-08-19_final
2017-08-19 09:31:04	ga_ls7e_ard_3-0-0_091089_2017-08-19_final
2017-10-13 09:33:17	ga_ls7e_ard_3-0-0_092079_2017-10-13_final
2017-10-13 09:33:41	ga_ls7e_ard_3-0-0_092080_2017-10-13_final
2017-10-13 09:34:05	ga_ls7e_ard_3-0-0_092081_2017-10-13_final
2017-10-13 09:34:29	ga_ls7e_ard_3-0-0_092082_2017-10-13_final
2017-10-13 09:34:53	ga_ls7e_ard_3-1-0_092083_2017-10-13_final
2017-10-13 09:35:17	ga_ls7e_ard_3-0-0_092084_2017-10-13_final
2017-10-15 09:23:43	ga_ls7e_ard_3-0-0_090086_2017-10-14_final
2017-10-15 09:24:31	ga_ls7e_ard_3-0-0_090088_2017-10-14_final
2017-10-15 09:24:55	ga_ls7e_ard_3-0-0_090089_2017-10-14_final
2017-10-15 09:25:19	ga_ls7e_ard_3-0-0_090090_2017-10-14_final
2017-10-18 09:47:03	ga_ls7e_ard_3-0-0_095067_2017-10-18_final
2017-10-20 09:38:41	ga_ls7e_ard_3-0-0_093077_2017-10-20_final
2017-10-20 09:39:04	ga_ls7e_ard_3-0-0_093078_2017-10-20_final
2017-12-09 09:30:30	ga_ls7e_ard_3-0-0_091088_2017-12-09_final
2018-10-12 09:47:52	ga_ls7e_ard_3-0-0_096067_2018-10-12_final
2019-01-04 09:25:48	ga_ls7e_ard_3-0-0_092079_2019-01-03_final
2019-01-04 09:26:12	ga_ls7e_ard_3-0-0_092080_2019-01-03_final
2019-01-04 09:26:36	ga_ls7e_ard_3-0-0_092081_2019-01-03_final
2019-01-04 09:27:00	ga_ls7e_ard_3-0-0_092082_2019-01-03_final
2019-01-04 09:27:24	ga_ls7e_ard_3-0-0_092083_2019-01-03_final
2019-01-04 09:27:47	ga_ls7e_ard_3-0-0_092084_2019-01-03_final
2019-01-04 09:28:11	ga_ls7e_ard_3-0-0_092085_2019-01-03_final
2019-04-08 09:32:45	ga_ls7e_ard_3-0-0_094073_2019-04-08_final
2019-04-08 09:33:09	ga_ls7e_ard_3-0-0_094074_2019-04-08_final
2019-04-08 09:33:33	ga_ls7e_ard_3-0-0_094075_2019-04-08_final
2019-04-08 09:33:57	ga_ls7e_ard_3-0-0_094076_2019-04-08_final
2019-04-10 09:22:43	ga_ls7e_ard_3-0-0_092079_2019-04-09_final
2019-04-10 09:23:07	ga_ls7e_ard_3-0-0_092080_2019-04-09_final
2019-04-10 09:23:31	ga_ls7e_ard_3-0-0_092081_2019-04-09_final
2019-04-10 09:23:55	ga_ls7e_ard_3-0-0_092082_2019-04-09_final
2019-04-10 09:24:19	ga_ls7e_ard_3-0-0_092083_2019-04-09_final
2019-04-10 09:24:43	ga_ls7e_ard_3-0-0_092084_2019-04-09_final
2019-04-10 09:25:07	ga_ls7e_ard_3-0-0_092085_2019-04-09_final
2019-04-26 09:22:08	ga_ls7e_ard_3-0-0_092079_2019-04-25_final
2019-04-26 09:22:32	ga_ls7e_ard_3-0-0_092080_2019-04-25_final
2019-04-26 09:22:56	ga_ls7e_ard_3-0-0_092081_2019-04-25_final
2019-04-26 09:23:20	ga_ls7e_ard_3-0-0_092082_2019-04-25_final
2019-04-26 09:23:44	ga_ls7e_ard_3-0-0_092083_2019-04-25_final
2019-04-26 09:24:08	ga_ls7e_ard_3-0-0_092084_2019-04-25_final
2019-04-26 09:24:32	ga_ls7e_ard_3-0-0_092085_2019-04-25_final
2019-04-28 09:13:18	ga_ls7e_ard_3-0-0_090088_2019-04-27_final
2019-04-28 09:13:42	ga_ls7e_ard_3-0-0_090089_2019-04-27_final
2019-04-28 09:14:06	ga_ls7e_ard_3-0-0_090090_2019-04-27_final
2021-07-27 08:37:30	ga_ls7e_ard_3-2-0_093076_2021-07-26_final
2021-07-27 08:37:54	ga_ls7e_ard_3-2-0_093077_2021-07-26_final
2021-07-27 08:38:42	ga_ls7e_ard_3-2-0_093079_2021-07-26_final
2021-07-27 08:39:06	ga_ls7e_ard_3-2-0_093080_2021-07-26_final
2021-07-27 08:39:30	ga_ls7e_ard_3-2-0_093081_2021-07-26_final
2021-08-01 08:52:01	ga_ls7e_ard_3-2-0_096067_2021-07-31_final
2021-08-12 08:35:41	ga_ls7e_ard_3-2-0_093075_2021-08-11_final
2021-08-12 08:36:05	ga_ls7e_ard_3-2-0_093076_2021-08-11_final
2021-08-12 08:36:29	ga_ls7e_ard_3-2-0_093077_2021-08-11_final
2021-08-12 08:36:53	ga_ls7e_ard_3-2-0_093078_2021-08-11_final
2021-08-12 08:37:17	ga_ls7e_ard_3-2-0_093079_2021-08-11_final
2021-08-12 08:37:41	ga_ls7e_ard_3-2-0_093080_2021-08-11_final
2021-08-12 08:38:05	ga_ls7e_ard_3-2-0_093081_2021-08-11_final
2021-08-14 08:26:20	ga_ls7e_ard_3-2-0_091083_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
2021-08-14 08:27:32	ga_ls7e_ard_3-2-0_091086_2021-08-13_final
2021-08-14 08:27:56	ga_ls7e_ard_3-2-0_091087_2021-08-13_final
2021-08-14 08:28:20	ga_ls7e_ard_3-2-0_091088_2021-08-13_final
2021-08-14 08:28:44	ga_ls7e_ard_3-2-0_091089_2021-08-13_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