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
2000-04-07 09:10:43	ga_ls7e_ard_3-0-0_090079_2000-04-06_final
2000-04-07 09:11:07	ga_ls7e_ard_3-0-0_090080_2000-04-06_final
2000-04-07 09:11:31	ga_ls7e_ard_3-0-0_090081_2000-04-06_final
2000-04-07 09:11:55	ga_ls7e_ard_3-0-0_090082_2000-04-06_final
2000-04-16 09:06:48	ga_ls7e_ard_3-0-0_089085_2000-04-15_final
2000-04-16 09:07:12	ga_ls7e_ard_3-0-0_089086_2000-04-15_final
2000-05-09 09:09:38	ga_ls7e_ard_3-0-0_090077_2000-05-08_final
2000-05-14 09:24:10	ga_ls7e_ard_3-1-0_093067_2000-05-13_final
2000-05-16 09:15:23	ga_ls7e_ard_3-0-0_091076_2000-05-15_final
2000-05-16 09:15:47	ga_ls7e_ard_3-0-0_091077_2000-05-15_final
2000-05-16 09:16:11	ga_ls7e_ard_3-0-0_091078_2000-05-15_final
2000-05-18 09:04:36	ga_ls7e_ard_3-0-0_089080_2000-05-17_final
2000-05-18 09:05:00	ga_ls7e_ard_3-1-0_089081_2000-05-17_final
2000-05-18 09:05:24	ga_ls7e_ard_3-0-0_089082_2000-05-17_final
2000-05-18 09:05:48	ga_ls7e_ard_3-0-0_089083_2000-05-17_final
2000-05-18 09:06:12	ga_ls7e_ard_3-0-0_089084_2000-05-17_final
2000-05-18 09:06:36	ga_ls7e_ard_3-0-0_089085_2000-05-17_final
2000-05-18 09:07:00	ga_ls7e_ard_3-0-0_089086_2000-05-17_final
2000-06-01 09:15:12	ga_ls7e_ard_3-0-0_091076_2000-05-31_final
2000-06-01 09:15:36	ga_ls7e_ard_3-0-0_091077_2000-05-31_final
2000-06-01 09:16:00	ga_ls7e_ard_3-0-0_091078_2000-05-31_final
2000-06-03 09:04:48	ga_ls7e_ard_3-1-0_089081_2000-06-02_final
2000-06-03 09:05:12	ga_ls7e_ard_3-0-0_089082_2000-06-02_final
2000-06-03 09:05:36	ga_ls7e_ard_3-0-0_089083_2000-06-02_final
2000-06-03 09:06:00	ga_ls7e_ard_3-0-0_089084_2000-06-02_final
2000-06-03 09:06:24	ga_ls7e_ard_3-0-0_089085_2000-06-02_final
2000-06-03 09:06:48	ga_ls7e_ard_3-0-0_089086_2000-06-02_final
2000-06-10 09:09:45	ga_ls7e_ard_3-0-0_090078_2000-06-09_final
2000-08-06 09:04:01	ga_ls7e_ard_3-1-0_089081_2000-08-05_final
2000-08-06 09:04:25	ga_ls7e_ard_3-0-0_089082_2000-08-05_final
2000-08-06 09:04:49	ga_ls7e_ard_3-0-0_089083_2000-08-05_final
2000-08-06 09:05:13	ga_ls7e_ard_3-0-0_089084_2000-08-05_final
2000-08-06 09:05:37	ga_ls7e_ard_3-0-0_089085_2000-08-05_final
2000-08-06 09:06:01	ga_ls7e_ard_3-0-0_089086_2000-08-05_final
2000-09-14 09:08:07	ga_ls7e_ard_3-0-0_090077_2000-09-13_final
2000-09-14 09:08:31	ga_ls7e_ard_3-0-0_090078_2000-09-13_final
2000-09-14 09:08:55	ga_ls7e_ard_3-0-0_090079_2000-09-13_final
2000-09-14 09:09:19	ga_ls7e_ard_3-0-0_090080_2000-09-13_final
2000-09-14 09:09:43	ga_ls7e_ard_3-0-0_090081_2000-09-13_final
2000-09-14 09:10:07	ga_ls7e_ard_3-0-0_090082_2000-09-13_final
2000-09-21 09:13:44	ga_ls7e_ard_3-0-0_091076_2000-09-20_final
2000-09-21 09:14:08	ga_ls7e_ard_3-0-0_091077_2000-09-20_final
2000-09-21 09:14:32	ga_ls7e_ard_3-0-0_091078_2000-09-20_final
2005-04-30 09:02:30	ga_ls7e_ard_3-1-0_089081_2005-04-29_final
2005-04-30 09:02:54	ga_ls7e_ard_3-0-0_089082_2005-04-29_final
2005-04-30 09:03:18	ga_ls7e_ard_3-0-0_089083_2005-04-29_final
2005-04-30 09:03:41	ga_ls7e_ard_3-0-0_089084_2005-04-29_final
2005-04-30 09:04:05	ga_ls7e_ard_3-0-0_089085_2005-04-29_final
2005-04-30 09:04:29	ga_ls7e_ard_3-0-0_089086_2005-04-29_final
2005-06-13 09:21:30	ga_ls7e_ard_3-0-0_093067_2005-06-12_final
2005-11-04 09:21:26	ga_ls7e_ard_3-0-0_093067_2005-11-03_final
2020-02-26 08:55:33	ga_ls7e_ard_3-1-0_090077_2020-02-25_final
2020-02-26 08:55:57	ga_ls7e_ard_3-1-0_090078_2020-02-25_final
2020-02-26 08:56:45	ga_ls7e_ard_3-1-0_090080_2020-02-25_final
2020-02-26 08:57:33	ga_ls7e_ard_3-1-0_090082_2020-02-25_final
2020-03-20 09:00:05	ga_ls7e_ard_3-1-0_091076_2020-03-19_final
2020-03-20 09:00:29	ga_ls7e_ard_3-1-0_091077_2020-03-19_final
2020-03-20 09:00:53	ga_ls7e_ard_3-1-0_091078_2020-03-19_final
2020-04-05 08:59:11	ga_ls7e_ard_3-1-0_091076_2020-04-04_final
2020-04-05 08:59:35	ga_ls7e_ard_3-1-0_091077_2020-04-04_final
2020-04-05 08:59:59	ga_ls7e_ard_3-1-0_091078_2020-04-04_final
2020-04-07 08:48:42	ga_ls7e_ard_3-1-0_089081_2020-04-06_final
2020-04-07 08:49:54	ga_ls7e_ard_3-1-0_089084_2020-04-06_final
2020-04-07 08:50:18	ga_ls7e_ard_3-1-0_089085_2020-04-06_final
2020-04-07 08:50:42	ga_ls7e_ard_3-1-0_089086_2020-04-06_final
2020-05-25 08:47:25	ga_ls7e_ard_3-1-0_089085_2020-05-24_final
2020-06-01 08:49:59	ga_ls7e_ard_3-1-0_090077_2020-05-31_final
2020-06-01 08:50:23	ga_ls7e_ard_3-1-0_090078_2020-05-31_final
2020-06-01 08:50:47	ga_ls7e_ard_3-1-0_090079_2020-05-31_final
2020-06-01 08:51:11	ga_ls7e_ard_3-1-0_090080_2020-05-31_final
2020-06-01 08:51:35	ga_ls7e_ard_3-1-0_090081_2020-05-31_final
2020-06-01 08:51:59	ga_ls7e_ard_3-1-0_090082_2020-05-31_final
2020-06-24 08:54:26	ga_ls7e_ard_3-1-0_091076_2020-06-23_final
2020-06-24 08:54:50	ga_ls7e_ard_3-1-0_091077_2020-06-23_final
2020-06-24 08:55:14	ga_ls7e_ard_3-1-0_091078_2020-06-23_final
2020-07-12 08:42:59	ga_ls7e_ard_3-1-0_089081_2020-07-11_final
2020-07-12 08:43:23	ga_ls7e_ard_3-1-0_089082_2020-07-11_final
2020-07-12 08:43:47	ga_ls7e_ard_3-1-0_089083_2020-07-11_final
2020-07-12 08:44:11	ga_ls7e_ard_3-1-0_089084_2020-07-11_final
2020-07-19 08:47:08	ga_ls7e_ard_3-1-0_090077_2020-07-18_final
2020-07-19 08:47:32	ga_ls7e_ard_3-1-0_090078_2020-07-18_final
2020-07-19 08:47:56	ga_ls7e_ard_3-1-0_090079_2020-07-18_final
2020-07-19 08:48:20	ga_ls7e_ard_3-1-0_090080_2020-07-18_final
2020-07-19 08:48:44	ga_ls7e_ard_3-1-0_090081_2020-07-18_final
2020-07-19 08:49:08	ga_ls7e_ard_3-1-0_090082_2020-07-18_final
2020-10-23 08:40:58	ga_ls7e_ard_3-1-0_090077_2020-10-22_final
2020-10-23 08:41:22	ga_ls7e_ard_3-1-0_090078_2020-10-22_final
2020-10-30 08:46:17	ga_ls7e_ard_3-1-0_091076_2020-10-29_final
2020-10-30 08:46:41	ga_ls7e_ard_3-1-0_091077_2020-10-29_final
2020-10-30 08:47:05	ga_ls7e_ard_3-1-0_091078_2020-10-29_final
2020-11-01 08:35:47	ga_ls7e_ard_3-1-0_089081_2020-10-31_final
2020-11-01 08:36:11	ga_ls7e_ard_3-1-0_089082_2020-10-31_final
2020-11-01 08:36:35	ga_ls7e_ard_3-1-0_089083_2020-10-31_final
2020-11-01 08:37:23	ga_ls7e_ard_3-1-0_089085_2020-10-31_final
2020-11-01 08:37:46	ga_ls7e_ard_3-1-0_089086_2020-10-31_final
2020-11-17 08:34:41	ga_ls7e_ard_3-1-0_089081_2020-11-16_final
2020-11-17 08:35:05	ga_ls7e_ard_3-1-0_089082_2020-11-16_final
2020-11-17 08:35:29	ga_ls7e_ard_3-1-0_089083_2020-11-16_final
2020-11-17 08:35:53	ga_ls7e_ard_3-1-0_089084_2020-11-16_final
2020-11-17 08:36:17	ga_ls7e_ard_3-1-0_089085_2020-11-16_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