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
2017-12-11 09:15:19	ga_ls7e_ard_3-1-0_089081_2017-12-10_final
2017-12-11 09:15:43	ga_ls7e_ard_3-0-0_089082_2017-12-10_final
2017-12-11 09:16:07	ga_ls7e_ard_3-0-0_089083_2017-12-10_final
2017-12-11 09:16:31	ga_ls7e_ard_3-0-0_089084_2017-12-10_final
2017-12-11 09:16:55	ga_ls7e_ard_3-0-0_089085_2017-12-10_final
2018-08-13 09:27:40	ga_ls7e_ard_3-0-0_092075_2018-08-12_final
2018-08-15 09:16:28	ga_ls7e_ard_3-0-0_090078_2018-08-14_final
2018-08-15 09:16:52	ga_ls7e_ard_3-0-0_090079_2018-08-14_final
2018-08-15 09:17:16	ga_ls7e_ard_3-0-0_090080_2018-08-14_final
2018-08-15 09:17:40	ga_ls7e_ard_3-0-0_090081_2018-08-14_final
2018-08-15 09:18:04	ga_ls7e_ard_3-1-0_090082_2018-08-14_final
2018-08-15 09:18:28	ga_ls7e_ard_3-0-0_090083_2018-08-14_final
2018-09-16 09:15:48	ga_ls7e_ard_3-0-0_090078_2018-09-15_final
2018-09-16 09:16:12	ga_ls7e_ard_3-0-0_090079_2018-09-15_final
2018-09-16 09:16:36	ga_ls7e_ard_3-0-0_090080_2018-09-15_final
2018-09-16 09:17:00	ga_ls7e_ard_3-0-0_090081_2018-09-15_final
2018-09-16 09:17:24	ga_ls7e_ard_3-1-0_090082_2018-09-15_final
2018-09-16 09:17:48	ga_ls7e_ard_3-0-0_090083_2018-09-15_final
2018-11-17 09:25:31	ga_ls7e_ard_3-0-0_092075_2018-11-16_final
2018-11-19 09:14:19	ga_ls7e_ard_3-0-0_090078_2018-11-18_final
2018-11-19 09:14:43	ga_ls7e_ard_3-0-0_090079_2018-11-18_final
2018-11-19 09:15:07	ga_ls7e_ard_3-0-0_090080_2018-11-18_final
2018-11-19 09:15:31	ga_ls7e_ard_3-0-0_090081_2018-11-18_final
2018-11-19 09:15:55	ga_ls7e_ard_3-1-0_090082_2018-11-18_final
2018-11-19 09:16:18	ga_ls7e_ard_3-0-0_090083_2018-11-18_final
2018-12-03 09:25:07	ga_ls7e_ard_3-0-0_092075_2018-12-02_final
2019-01-22 09:12:52	ga_ls7e_ard_3-0-0_090079_2019-01-21_final
2019-01-22 09:13:16	ga_ls7e_ard_3-0-0_090080_2019-01-21_final
2019-01-22 09:13:40	ga_ls7e_ard_3-0-0_090081_2019-01-21_final
2019-01-22 09:14:04	ga_ls7e_ard_3-0-0_090082_2019-01-21_final
2019-01-22 09:14:28	ga_ls7e_ard_3-0-0_090083_2019-01-21_final
2019-01-29 09:17:37	ga_ls7e_ard_3-0-0_091076_2019-01-28_final
2019-01-29 09:18:01	ga_ls7e_ard_3-0-0_091077_2019-01-28_final
2019-01-29 09:18:25	ga_ls7e_ard_3-0-0_091078_2019-01-28_final
2019-01-29 09:18:49	ga_ls7e_ard_3-0-0_091079_2019-01-28_final
2019-01-31 09:07:35	ga_ls7e_ard_3-0-0_089082_2019-01-30_final
2019-01-31 09:07:59	ga_ls7e_ard_3-0-0_089083_2019-01-30_final
2019-01-31 09:08:23	ga_ls7e_ard_3-0-0_089084_2019-01-30_final
2019-01-31 09:08:47	ga_ls7e_ard_3-0-0_089085_2019-01-30_final
2019-01-31 09:09:11	ga_ls7e_ard_3-0-0_089086_2019-01-30_final
2019-03-04 09:06:37	ga_ls7e_ard_3-1-0_089082_2019-03-03_final
2019-03-04 09:07:01	ga_ls7e_ard_3-1-0_089083_2019-03-03_final
2019-03-04 09:07:25	ga_ls7e_ard_3-1-0_089084_2019-03-03_final
2019-03-04 09:07:49	ga_ls7e_ard_3-1-0_089085_2019-03-03_final
2019-03-04 09:08:13	ga_ls7e_ard_3-1-0_089086_2019-03-03_final
2019-03-11 09:10:59	ga_ls7e_ard_3-1-0_090078_2019-03-10_final
2019-03-11 09:11:23	ga_ls7e_ard_3-1-0_090079_2019-03-10_final
2019-03-11 09:11:47	ga_ls7e_ard_3-1-0_090080_2019-03-10_final
2019-03-11 09:12:11	ga_ls7e_ard_3-1-0_090081_2019-03-10_final
2019-03-11 09:12:35	ga_ls7e_ard_3-1-0_090082_2019-03-10_final
2019-03-11 09:12:59	ga_ls7e_ard_3-1-0_090083_2019-03-10_final
2019-04-03 09:15:35	ga_ls7e_ard_3-0-0_091076_2019-04-02_final
2019-04-03 09:15:59	ga_ls7e_ard_3-0-0_091077_2019-04-02_final
2019-04-03 09:16:23	ga_ls7e_ard_3-0-0_091078_2019-04-02_final
2019-04-03 09:16:47	ga_ls7e_ard_3-0-0_091079_2019-04-02_final
2019-04-05 09:05:33	ga_ls7e_ard_3-0-0_089082_2019-04-04_final
2019-04-26 09:20:32	ga_ls7e_ard_3-0-0_092075_2019-04-25_final
2019-04-28 09:09:18	ga_ls7e_ard_3-0-0_090078_2019-04-27_final
2019-04-28 09:09:42	ga_ls7e_ard_3-0-0_090079_2019-04-27_final
2019-04-28 09:10:06	ga_ls7e_ard_3-0-0_090080_2019-04-27_final
2019-04-28 09:10:30	ga_ls7e_ard_3-0-0_090081_2019-04-27_final
2019-04-28 09:10:54	ga_ls7e_ard_3-0-0_090082_2019-04-27_final
2019-04-28 09:11:18	ga_ls7e_ard_3-0-0_090083_2019-04-27_final
2019-05-05 09:14:25	ga_ls7e_ard_3-0-0_091076_2019-05-04_final
2019-05-05 09:14:49	ga_ls7e_ard_3-0-0_091077_2019-05-04_final
2019-05-05 09:15:13	ga_ls7e_ard_3-0-0_091078_2019-05-04_final
2019-05-05 09:15:37	ga_ls7e_ard_3-0-0_091079_2019-05-04_final
2019-05-30 09:08:05	ga_ls7e_ard_3-0-0_090078_2019-05-29_final
2019-05-30 09:08:29	ga_ls7e_ard_3-0-0_090079_2019-05-29_final
2019-05-30 09:08:53	ga_ls7e_ard_3-0-0_090080_2019-05-29_final
2019-05-30 09:09:17	ga_ls7e_ard_3-0-0_090081_2019-05-29_final
2019-05-30 09:09:41	ga_ls7e_ard_3-0-0_090082_2019-05-29_final
2019-05-30 09:10:05	ga_ls7e_ard_3-0-0_090083_2019-05-29_final
2021-07-20 08:31:32	ga_ls7e_ard_3-2-0_092075_2021-07-19_final
2021-07-22 08:20:12	ga_ls7e_ard_3-2-0_090078_2021-07-21_final
2021-07-22 08:20:36	ga_ls7e_ard_3-2-0_090079_2021-07-21_final
2021-07-22 08:21:00	ga_ls7e_ard_3-2-0_090080_2021-07-21_final
2021-07-22 08:21:24	ga_ls7e_ard_3-2-0_090081_2021-07-21_final
2021-07-22 08:21:48	ga_ls7e_ard_3-2-0_090082_2021-07-21_final
2021-07-22 08:22:11	ga_ls7e_ard_3-2-0_090083_2021-07-21_final
2021-07-22 08:22:35	ga_ls7e_ard_3-2-0_090084_2021-07-21_final
2021-07-29 08:24:58	ga_ls7e_ard_3-2-0_091076_2021-07-28_final
2021-07-29 08:25:22	ga_ls7e_ard_3-2-0_091077_2021-07-28_final
2021-07-29 08:25:46	ga_ls7e_ard_3-2-0_091078_2021-07-28_final
2021-07-29 08:26:10	ga_ls7e_ard_3-2-0_091079_2021-07-28_final
2021-07-31 08:14:50	ga_ls7e_ard_3-2-0_089082_2021-07-30_final
2021-07-31 08:15:14	ga_ls7e_ard_3-2-0_089083_2021-07-30_final
2021-07-31 08:16:01	ga_ls7e_ard_3-2-0_089085_2021-07-30_final
2021-08-07 08:19:11	ga_ls7e_ard_3-2-0_090079_2021-08-06_final
2021-08-07 08:19:59	ga_ls7e_ard_3-2-0_090081_2021-08-06_final
2021-08-07 08:20:23	ga_ls7e_ard_3-2-0_090082_2021-08-06_final
2021-08-07 08:20:47	ga_ls7e_ard_3-2-0_090083_2021-08-06_final
2021-08-14 08:23:33	ga_ls7e_ard_3-2-0_091076_2021-08-13_final
2021-08-14 08:23:57	ga_ls7e_ard_3-2-0_091077_2021-08-13_final
2021-08-14 08:24:21	ga_ls7e_ard_3-2-0_091078_2021-08-13_final
2021-08-14 08:24:45	ga_ls7e_ard_3-2-0_091079_2021-08-13_final
2021-08-16 08:13:24	ga_ls7e_ard_3-2-0_089082_2021-08-15_final
2021-08-16 08:13:48	ga_ls7e_ard_3-2-0_089083_2021-08-15_final
2021-08-16 08:14:12	ga_ls7e_ard_3-2-0_089084_2021-08-15_final
2021-08-16 08:14:36	ga_ls7e_ard_3-2-0_089085_2021-08-15_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