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
2005-03-21 11:28:32	ga_ls7e_ard_3-0-0_113075_2005-03-21_final
2005-03-21 11:28:56	ga_ls7e_ard_3-0-0_113076_2005-03-21_final
2005-03-21 11:29:20	ga_ls7e_ard_3-0-0_113077_2005-03-21_final
2005-03-21 11:29:44	ga_ls7e_ard_3-0-0_113078_2005-03-21_final
2005-03-21 11:30:08	ga_ls7e_ard_3-0-0_113079_2005-03-21_final
2005-03-21 11:30:32	ga_ls7e_ard_3-0-0_113080_2005-03-21_final
2005-03-21 11:30:56	ga_ls7e_ard_3-0-0_113081_2005-03-21_final
2005-04-06 11:28:28	ga_ls7e_ard_3-0-0_113075_2005-04-06_final
2005-04-06 11:28:52	ga_ls7e_ard_3-0-0_113076_2005-04-06_final
2005-04-06 11:29:16	ga_ls7e_ard_3-0-0_113077_2005-04-06_final
2005-04-06 11:29:40	ga_ls7e_ard_3-0-0_113078_2005-04-06_final
2005-04-06 11:30:04	ga_ls7e_ard_3-0-0_113079_2005-04-06_final
2005-04-06 11:30:28	ga_ls7e_ard_3-0-0_113080_2005-04-06_final
2005-04-06 11:30:52	ga_ls7e_ard_3-0-0_113081_2005-04-06_final
2005-04-22 11:28:23	ga_ls7e_ard_3-0-0_113075_2005-04-22_final
2005-04-22 11:28:47	ga_ls7e_ard_3-0-0_113076_2005-04-22_final
2005-04-22 11:29:11	ga_ls7e_ard_3-0-0_113077_2005-04-22_final
2005-04-24 11:19:37	ga_ls7e_ard_3-0-0_111084_2005-04-24_final
2005-05-24 11:28:26	ga_ls7e_ard_3-0-0_113075_2005-05-24_final
2005-05-24 11:29:14	ga_ls7e_ard_3-0-0_113077_2005-05-24_final
2005-05-24 11:29:38	ga_ls7e_ard_3-0-0_113078_2005-05-24_final
2005-05-24 11:30:02	ga_ls7e_ard_3-0-0_113079_2005-05-24_final
2005-05-24 11:30:26	ga_ls7e_ard_3-0-0_113080_2005-05-24_final
2005-05-24 11:30:50	ga_ls7e_ard_3-0-0_113081_2005-05-24_final
2005-05-26 11:19:16	ga_ls7e_ard_3-0-0_111083_2005-05-26_final
2005-05-26 11:19:40	ga_ls7e_ard_3-1-0_111084_2005-05-26_final
2005-06-11 11:19:09	ga_ls7e_ard_3-0-0_111083_2005-06-11_final
2005-06-11 11:19:33	ga_ls7e_ard_3-0-0_111084_2005-06-11_final
2005-09-13 11:27:55	ga_ls7e_ard_3-0-0_113075_2005-09-13_final
2005-09-20 11:33:42	ga_ls7e_ard_3-0-0_114074_2005-09-20_final
2005-09-20 11:34:06	ga_ls7e_ard_3-0-0_114075_2005-09-20_final
2005-09-20 11:34:30	ga_ls7e_ard_3-0-0_114076_2005-09-20_final
2005-09-20 11:34:54	ga_ls7e_ard_3-0-0_114077_2005-09-20_final
2005-11-02 11:19:02	ga_ls7e_ard_3-0-0_111083_2005-11-02_final
2005-11-02 11:19:26	ga_ls7e_ard_3-0-0_111084_2005-11-02_final
2018-04-01 11:45:36	ga_ls7e_ard_3-0-0_114074_2018-04-01_final
2018-04-01 11:46:00	ga_ls7e_ard_3-0-0_114075_2018-04-01_final
2018-04-01 11:46:24	ga_ls7e_ard_3-0-0_114076_2018-04-01_final
2018-04-01 11:46:47	ga_ls7e_ard_3-0-0_114077_2018-04-01_final
2018-04-03 11:35:36	ga_ls7e_ard_3-0-0_112080_2018-04-03_final
2018-04-03 11:36:00	ga_ls7e_ard_3-0-0_112081_2018-04-03_final
2018-04-03 11:36:24	ga_ls7e_ard_3-0-0_112082_2018-04-03_final
2018-04-03 11:36:48	ga_ls7e_ard_3-0-0_112083_2018-04-03_final
2018-04-03 11:37:12	ga_ls7e_ard_3-0-0_112084_2018-04-03_final
2018-04-10 11:39:40	ga_ls7e_ard_3-0-0_113075_2018-04-10_final
2018-04-10 11:40:04	ga_ls7e_ard_3-0-0_113076_2018-04-10_final
2018-04-10 11:40:52	ga_ls7e_ard_3-0-0_113078_2018-04-10_final
2018-04-10 11:41:16	ga_ls7e_ard_3-0-0_113079_2018-04-10_final
2018-04-10 11:41:40	ga_ls7e_ard_3-0-0_113080_2018-04-10_final
2018-04-12 11:30:28	ga_ls7e_ard_3-0-0_111083_2018-04-12_final
2018-04-17 11:45:20	ga_ls7e_ard_3-0-0_114074_2018-04-17_final
2018-04-17 11:45:44	ga_ls7e_ard_3-0-0_114075_2018-04-17_final
2018-04-17 11:46:08	ga_ls7e_ard_3-0-0_114076_2018-04-17_final
2018-04-17 11:46:32	ga_ls7e_ard_3-0-0_114077_2018-04-17_final
2018-04-19 11:35:20	ga_ls7e_ard_3-0-0_112080_2018-04-19_final
2018-04-19 11:35:44	ga_ls7e_ard_3-0-0_112081_2018-04-19_final
2018-06-20 11:44:14	ga_ls7e_ard_3-0-0_114074_2018-06-20_final
2018-06-20 11:44:38	ga_ls7e_ard_3-0-0_114075_2018-06-20_final
2018-06-20 11:45:02	ga_ls7e_ard_3-0-0_114076_2018-06-20_final
2018-06-20 11:45:26	ga_ls7e_ard_3-0-0_114077_2018-06-20_final
2018-08-18 11:28:11	ga_ls7e_ard_3-0-0_111083_2018-08-18_final
2018-08-18 11:28:35	ga_ls7e_ard_3-0-0_111084_2018-08-18_final
2018-09-01 11:37:04	ga_ls7e_ard_3-0-0_113075_2018-09-01_final
2018-09-01 11:37:28	ga_ls7e_ard_3-0-0_113076_2018-09-01_final
2018-09-01 11:37:52	ga_ls7e_ard_3-0-0_113077_2018-09-01_final
2018-09-01 11:38:16	ga_ls7e_ard_3-0-0_113078_2018-09-01_final
2018-09-01 11:38:40	ga_ls7e_ard_3-0-0_113079_2018-09-01_final
2018-09-01 11:39:04	ga_ls7e_ard_3-0-0_113080_2018-09-01_final
2018-09-01 11:39:28	ga_ls7e_ard_3-0-0_113081_2018-09-01_final
2018-09-08 11:42:42	ga_ls7e_ard_3-0-0_114074_2018-09-08_final
2018-09-08 11:43:06	ga_ls7e_ard_3-0-0_114075_2018-09-08_final
2018-09-08 11:43:30	ga_ls7e_ard_3-0-0_114076_2018-09-08_final
2018-09-08 11:43:54	ga_ls7e_ard_3-0-0_114077_2018-09-08_final
2021-08-08 10:40:02	ga_ls7e_ard_3-2-0_113076_2021-08-08_final
2021-08-08 10:40:26	ga_ls7e_ard_3-2-0_113077_2021-08-08_final
2021-08-08 10:41:14	ga_ls7e_ard_3-2-0_113079_2021-08-08_final
2021-08-08 10:41:38	ga_ls7e_ard_3-2-0_113080_2021-08-08_final
2021-08-08 10:42:02	ga_ls7e_ard_3-2-0_113081_2021-08-08_final
2021-08-10 10:30:42	ga_ls7e_ard_3-2-0_111084_2021-08-10_final
2021-08-15 10:45:12	ga_ls7e_ard_3-2-0_114075_2021-08-15_final
2021-08-15 10:45:36	ga_ls7e_ard_3-2-0_114076_2021-08-15_final
2021-08-15 10:46:00	ga_ls7e_ard_3-2-0_114077_2021-08-15_final
2021-08-17 10:34:39	ga_ls7e_ard_3-2-0_112080_2021-08-17_final
2021-08-17 10:35:03	ga_ls7e_ard_3-2-0_112081_2021-08-17_final
2021-08-17 10:35:27	ga_ls7e_ard_3-2-0_112082_2021-08-17_final
2021-08-17 10:35:51	ga_ls7e_ard_3-2-0_112083_2021-08-17_final
2021-08-17 10:36:15	ga_ls7e_ard_3-2-0_112084_2021-08-17_final
2022-03-20 10:18:33	ga_ls7e_ard_3-2-1_113075_2022-03-20_final
2022-03-20 10:18:56	ga_ls7e_ard_3-2-1_113076_2022-03-20_final
2022-03-20 10:19:20	ga_ls7e_ard_3-2-1_113077_2022-03-20_final
2022-03-20 10:19:44	ga_ls7e_ard_3-2-1_113078_2022-03-20_final
2022-03-20 10:20:08	ga_ls7e_ard_3-2-1_113079_2022-03-20_final
2022-03-20 10:20:32	ga_ls7e_ard_3-2-1_113080_2022-03-20_final
2022-03-20 10:20:56	ga_ls7e_ard_3-2-1_113081_2022-03-20_final
2022-04-05 10:17:00	ga_ls7e_ard_3-2-1_113075_2022-04-05_final
2022-04-05 10:17:24	ga_ls7e_ard_3-2-1_113076_2022-04-05_final
2022-04-05 10:17:48	ga_ls7e_ard_3-2-1_113077_2022-04-05_final
2022-04-05 10:18:12	ga_ls7e_ard_3-2-1_113078_2022-04-05_final
2022-04-05 10:18:36	ga_ls7e_ard_3-2-1_113079_2022-04-05_final
2022-04-05 10:19:00	ga_ls7e_ard_3-2-1_113080_2022-04-05_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