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
2008-04-20 09:14:59	ga_ls7e_ard_3-0-0_091080_2008-04-19_final
2008-04-20 09:15:23	ga_ls7e_ard_3-0-0_091081_2008-04-19_final
2008-04-20 09:15:47	ga_ls7e_ard_3-0-0_091082_2008-04-19_final
2008-04-20 09:16:11	ga_ls7e_ard_3-0-0_091083_2008-04-19_final
2008-04-20 09:16:35	ga_ls7e_ard_3-0-0_091084_2008-04-19_final
2008-04-20 09:16:59	ga_ls7e_ard_3-0-0_091085_2008-04-19_final
2008-04-29 09:10:22	ga_ls7e_ard_3-0-0_090084_2008-04-28_final
2008-04-29 09:10:46	ga_ls7e_ard_3-1-0_090085_2008-04-28_final
2008-04-29 09:11:10	ga_ls7e_ard_3-0-0_090086_2008-04-28_final
2008-04-29 09:11:58	ga_ls7e_ard_3-1-0_090088_2008-04-28_final
2008-04-29 09:12:22	ga_ls7e_ard_3-0-0_090089_2008-04-28_final
2008-05-15 09:10:17	ga_ls7e_ard_3-0-0_090084_2008-05-14_final
2008-05-15 09:10:41	ga_ls7e_ard_3-1-0_090085_2008-05-14_final
2008-05-15 09:11:05	ga_ls7e_ard_3-0-0_090086_2008-05-14_final
2008-05-15 09:11:53	ga_ls7e_ard_3-0-0_090088_2008-05-14_final
2008-05-15 09:12:17	ga_ls7e_ard_3-0-0_090089_2008-05-14_final
2019-11-18 09:21:20	ga_ls7e_ard_3-1-0_094067_2019-11-17_final
2019-11-20 09:12:28	ga_ls7e_ard_3-1-0_092076_2019-11-19_final
2019-11-20 09:12:52	ga_ls7e_ard_3-1-0_092077_2019-11-19_final
2019-11-20 09:13:16	ga_ls7e_ard_3-1-0_092078_2019-11-19_final
2019-11-20 09:13:40	ga_ls7e_ard_3-1-0_092079_2019-11-19_final
2019-11-20 09:14:04	ga_ls7e_ard_3-1-0_092080_2019-11-19_final
2019-11-20 09:14:27	ga_ls7e_ard_3-1-0_092081_2019-11-19_final
2019-11-20 09:14:51	ga_ls7e_ard_3-1-0_092082_2019-11-19_final
2019-11-22 09:03:12	ga_ls7e_ard_3-1-0_090084_2019-11-21_final
2019-11-22 09:03:36	ga_ls7e_ard_3-1-0_090085_2019-11-21_final
2019-11-22 09:04:00	ga_ls7e_ard_3-1-0_090086_2019-11-21_final
2020-05-12 09:11:56	ga_ls7e_ard_3-1-0_094067_2020-05-11_final
2020-05-14 09:03:02	ga_ls7e_ard_3-1-0_092076_2020-05-13_final
2020-05-14 09:03:26	ga_ls7e_ard_3-1-0_092077_2020-05-13_final
2020-05-14 09:03:50	ga_ls7e_ard_3-1-0_092078_2020-05-13_final
2020-05-14 09:04:14	ga_ls7e_ard_3-1-0_092079_2020-05-13_final
2020-05-14 09:04:38	ga_ls7e_ard_3-1-0_092080_2020-05-13_final
2020-05-14 09:05:02	ga_ls7e_ard_3-1-0_092081_2020-05-13_final
2020-05-14 09:05:26	ga_ls7e_ard_3-1-0_092082_2020-05-13_final
2021-04-24 08:34:39	ga_ls7e_ard_3-2-0_091080_2021-04-23_final
2021-04-24 08:35:03	ga_ls7e_ard_3-2-0_091081_2021-04-23_final
2021-04-24 08:35:26	ga_ls7e_ard_3-2-0_091082_2021-04-23_final
2021-04-24 08:35:50	ga_ls7e_ard_3-2-0_091083_2021-04-23_final
2021-04-24 08:36:14	ga_ls7e_ard_3-2-0_091084_2021-04-23_final
2021-04-24 08:36:38	ga_ls7e_ard_3-2-0_091085_2021-04-23_final
2021-04-24 08:37:02	ga_ls7e_ard_3-2-0_091086_2021-04-23_final
2021-05-01 08:39:50	ga_ls7e_ard_3-2-0_092079_2021-04-30_final
2021-05-01 08:40:38	ga_ls7e_ard_3-2-0_092081_2021-04-30_final
2021-05-01 08:41:02	ga_ls7e_ard_3-2-0_092082_2021-04-30_final
2021-05-03 08:29:18	ga_ls7e_ard_3-2-0_090084_2021-05-02_final
2021-05-03 08:29:42	ga_ls7e_ard_3-2-0_090085_2021-05-02_final
2021-05-03 08:30:06	ga_ls7e_ard_3-2-0_090086_2021-05-02_final
2021-05-03 08:30:54	ga_ls7e_ard_3-2-0_090088_2021-05-02_final
2021-05-03 08:31:18	ga_ls7e_ard_3-2-0_090089_2021-05-02_final
2021-05-06 08:53:10	ga_ls7e_ard_3-2-0_095067_2021-05-05_final
2021-05-08 08:43:26	ga_ls7e_ard_3-2-0_093074_2021-05-07_final
2021-05-08 08:43:50	ga_ls7e_ard_3-2-0_093075_2021-05-07_final
2021-05-08 08:44:14	ga_ls7e_ard_3-2-0_093076_2021-05-07_final
2021-05-08 08:44:38	ga_ls7e_ard_3-2-0_093077_2021-05-07_final
2021-05-10 08:33:18	ga_ls7e_ard_3-2-0_091080_2021-05-09_final
2021-05-10 08:33:42	ga_ls7e_ard_3-2-0_091081_2021-05-09_final
2021-05-10 08:34:06	ga_ls7e_ard_3-2-0_091082_2021-05-09_final
2021-05-10 08:34:30	ga_ls7e_ard_3-2-0_091083_2021-05-09_final
2021-05-10 08:34:54	ga_ls7e_ard_3-2-0_091084_2021-05-09_final
2021-05-10 08:35:18	ga_ls7e_ard_3-2-0_091085_2021-05-09_final
2021-05-10 08:35:42	ga_ls7e_ard_3-2-0_091086_2021-05-09_final
2021-05-15 08:46:14	ga_ls7e_ard_3-2-0_094067_2021-05-14_final
2021-05-17 08:37:18	ga_ls7e_ard_3-2-0_092076_2021-05-16_final
2021-05-17 08:37:42	ga_ls7e_ard_3-2-0_092077_2021-05-16_final
2021-05-17 08:38:06	ga_ls7e_ard_3-2-0_092078_2021-05-16_final
2021-05-17 08:38:30	ga_ls7e_ard_3-2-0_092079_2021-05-16_final
2021-05-17 08:38:54	ga_ls7e_ard_3-2-0_092080_2021-05-16_final
2021-05-17 08:39:18	ga_ls7e_ard_3-2-0_092081_2021-05-16_final
2021-05-17 08:39:42	ga_ls7e_ard_3-2-0_092082_2021-05-16_final
2021-05-19 08:27:58	ga_ls7e_ard_3-2-0_090084_2021-05-18_final
2021-05-19 08:28:22	ga_ls7e_ard_3-2-0_090085_2021-05-18_final
2021-05-19 08:28:46	ga_ls7e_ard_3-2-0_090086_2021-05-18_final
2021-05-19 08:29:58	ga_ls7e_ard_3-2-0_090089_2021-05-18_final
2021-05-24 08:42:05	ga_ls7e_ard_3-2-0_093074_2021-05-23_final
2021-05-24 08:42:29	ga_ls7e_ard_3-2-0_093075_2021-05-23_final
2021-05-24 08:42:53	ga_ls7e_ard_3-2-0_093076_2021-05-23_final
2021-05-24 08:43:17	ga_ls7e_ard_3-2-0_093077_2021-05-23_final
2021-09-20 08:37:39	ga_ls7e_ard_3-2-0_094073_2021-09-19_final
2021-09-22 08:26:19	ga_ls7e_ard_3-2-0_092076_2021-09-21_final
2021-09-22 08:26:43	ga_ls7e_ard_3-2-0_092077_2021-09-21_final
2021-09-22 08:27:07	ga_ls7e_ard_3-2-0_092078_2021-09-21_final
2021-09-22 08:27:30	ga_ls7e_ard_3-2-0_092079_2021-09-21_final
2021-09-22 08:27:54	ga_ls7e_ard_3-2-0_092080_2021-09-21_final
2021-09-22 08:28:18	ga_ls7e_ard_3-2-0_092081_2021-09-21_final
2021-09-22 08:28:42	ga_ls7e_ard_3-2-0_092082_2021-09-21_final
2021-11-11 08:12:36	ga_ls7e_ard_3-2-0_090084_2021-11-10_final
2021-11-11 08:13:00	ga_ls7e_ard_3-2-0_090085_2021-11-10_final
2021-11-11 08:13:24	ga_ls7e_ard_3-2-0_090086_2021-11-10_final
2021-11-11 08:14:12	ga_ls7e_ard_3-2-0_090088_2021-11-10_final
2021-11-11 08:14:36	ga_ls7e_ard_3-2-0_090089_2021-11-10_final
2021-11-16 08:26:40	ga_ls7e_ard_3-2-1_093074_2021-11-15_final
2021-11-16 08:27:04	ga_ls7e_ard_3-2-1_093075_2021-11-15_final
2021-11-16 08:27:27	ga_ls7e_ard_3-2-1_093076_2021-11-15_final
2021-11-16 08:27:51	ga_ls7e_ard_3-2-1_093077_2021-11-15_final
2021-11-18 08:16:54	ga_ls7e_ard_3-2-1_091081_2021-11-17_final
2021-11-18 08:17:18	ga_ls7e_ard_3-2-1_091082_2021-11-17_final
2021-11-18 08:17:42	ga_ls7e_ard_3-2-1_091083_2021-11-17_final
2021-11-18 08:18:06	ga_ls7e_ard_3-2-1_091084_2021-11-17_final
2021-11-18 08:18:30	ga_ls7e_ard_3-2-1_091085_2021-11-17_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years