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
2017-11-23 09:25:50	ga_ls7e_ard_3-0-0_091076_2017-11-22_final
2017-11-23 09:26:14	ga_ls7e_ard_3-0-0_091077_2017-11-22_final
2017-11-23 09:26:38	ga_ls7e_ard_3-0-0_091078_2017-11-22_final
2017-11-23 09:27:02	ga_ls7e_ard_3-0-0_091079_2017-11-22_final
2017-11-23 09:27:25	ga_ls7e_ard_3-0-0_091080_2017-11-22_final
2017-11-23 09:27:49	ga_ls7e_ard_3-0-0_091081_2017-11-22_final
2017-11-23 09:28:13	ga_ls7e_ard_3-0-0_091082_2017-11-22_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
2017-12-16 09:31:25	ga_ls7e_ard_3-0-0_092075_2017-12-16_final
2017-12-16 09:31:49	ga_ls7e_ard_3-0-0_092076_2017-12-16_final
2017-12-16 09:32:13	ga_ls7e_ard_3-0-0_092077_2017-12-16_final
2017-12-16 09:32:37	ga_ls7e_ard_3-0-0_092078_2017-12-16_final
2018-01-03 09:21:14	ga_ls7e_ard_3-0-0_090081_2018-01-02_final
2018-01-03 09:21:38	ga_ls7e_ard_3-1-0_090082_2018-01-02_final
2018-01-03 09:22:02	ga_ls7e_ard_3-0-0_090083_2018-01-02_final
2018-01-03 09:22:26	ga_ls7e_ard_3-0-0_090084_2018-01-02_final
2018-01-03 09:22:50	ga_ls7e_ard_3-0-0_090085_2018-01-02_final
2018-01-03 09:23:14	ga_ls7e_ard_3-0-0_090086_2018-01-02_final
2018-01-15 09:40:12	ga_ls7e_ard_3-1-0_094067_2018-01-15_final
2018-03-04 09:39:34	ga_ls7e_ard_3-1-0_094067_2018-03-04_final
2018-03-06 09:30:23	ga_ls7e_ard_3-0-0_092075_2018-03-06_final
2018-03-06 09:30:46	ga_ls7e_ard_3-0-0_092076_2018-03-06_final
2018-03-08 09:20:23	ga_ls7e_ard_3-0-0_090081_2018-03-07_final
2018-03-08 09:20:47	ga_ls7e_ard_3-0-0_090082_2018-03-07_final
2018-03-08 09:21:11	ga_ls7e_ard_3-0-0_090083_2018-03-07_final
2018-03-08 09:21:35	ga_ls7e_ard_3-0-0_090084_2018-03-07_final
2018-03-08 09:21:59	ga_ls7e_ard_3-0-0_090085_2018-03-07_final
2018-03-08 09:22:23	ga_ls7e_ard_3-0-0_090086_2018-03-07_final
2018-03-15 09:24:53	ga_ls7e_ard_3-0-0_091077_2018-03-14_final
2018-03-15 09:25:17	ga_ls7e_ard_3-0-0_091078_2018-03-14_final
2018-03-15 09:25:41	ga_ls7e_ard_3-0-0_091079_2018-03-14_final
2018-03-15 09:26:05	ga_ls7e_ard_3-0-0_091080_2018-03-14_final
2018-03-15 09:26:29	ga_ls7e_ard_3-0-0_091081_2018-03-14_final
2018-03-15 09:26:53	ga_ls7e_ard_3-0-0_091082_2018-03-14_final
2018-04-23 09:29:40	ga_ls7e_ard_3-0-0_092075_2018-04-22_final
2018-04-23 09:30:28	ga_ls7e_ard_3-0-0_092077_2018-04-23_final
2018-04-23 09:30:52	ga_ls7e_ard_3-0-0_092078_2018-04-23_final
2018-06-21 09:14:06	ga_ls7e_ard_3-0-0_089085_2018-06-20_final
2018-06-21 09:14:30	ga_ls7e_ard_3-0-0_089086_2018-06-20_final
2018-06-24 09:37:46	ga_ls7e_ard_3-1-0_094067_2018-06-24_final
2018-06-26 09:29:45	ga_ls7e_ard_3-0-0_092078_2018-06-25_final
2018-07-14 09:18:14	ga_ls7e_ard_3-0-0_090081_2018-07-13_final
2018-07-14 09:18:38	ga_ls7e_ard_3-1-0_090082_2018-07-13_final
2018-07-14 09:19:02	ga_ls7e_ard_3-0-0_090083_2018-07-13_final
2018-07-14 09:19:26	ga_ls7e_ard_3-0-0_090084_2018-07-13_final
2018-07-14 09:19:50	ga_ls7e_ard_3-0-0_090085_2018-07-13_final
2018-07-14 09:20:14	ga_ls7e_ard_3-0-0_090086_2018-07-13_final
2018-07-19 09:33:54	ga_ls7e_ard_3-0-0_093074_2018-07-19_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
2018-08-15 09:18:52	ga_ls7e_ard_3-0-0_090084_2018-08-14_final
2018-08-15 09:19:16	ga_ls7e_ard_3-1-0_090085_2018-08-14_final
2018-08-15 09:19:40	ga_ls7e_ard_3-0-0_090086_2018-08-14_final
2018-12-19 09:24:41	ga_ls7e_ard_3-0-0_092075_2018-12-18_final
2018-12-19 09:25:28	ga_ls7e_ard_3-0-0_092077_2018-12-18_final
2018-12-19 09:25:52	ga_ls7e_ard_3-0-0_092078_2018-12-18_final
2018-12-21 09:14:39	ga_ls7e_ard_3-0-0_090081_2018-12-20_final
2018-12-21 09:15:03	ga_ls7e_ard_3-0-0_090082_2018-12-20_final
2018-12-21 09:15:27	ga_ls7e_ard_3-0-0_090083_2018-12-20_final
2019-04-17 09:26:39	ga_ls7e_ard_3-0-0_093074_2019-04-16_final
2019-04-19 09:15:25	ga_ls7e_ard_3-0-0_091077_2019-04-18_final
2019-04-19 09:15:49	ga_ls7e_ard_3-0-0_091078_2019-04-18_final
2019-04-19 09:16:13	ga_ls7e_ard_3-0-0_091079_2019-04-18_final
2019-04-19 09:16:37	ga_ls7e_ard_3-0-0_091080_2019-04-18_final
2019-04-19 09:17:01	ga_ls7e_ard_3-0-0_091081_2019-04-18_final
2019-04-19 09:17:25	ga_ls7e_ard_3-0-0_091082_2019-04-18_final
2019-04-19 09:17:49	ga_ls7e_ard_3-0-0_091083_2019-04-18_final
2021-07-27 08:36:42	ga_ls7e_ard_3-2-0_093074_2021-07-26_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
2021-07-29 08:26:34	ga_ls7e_ard_3-2-0_091080_2021-07-28_final
2021-07-29 08:26:58	ga_ls7e_ard_3-2-0_091081_2021-07-28_final
2021-07-29 08:27:22	ga_ls7e_ard_3-2-0_091082_2021-07-28_final
2021-07-29 08:27:46	ga_ls7e_ard_3-2-0_091083_2021-07-28_final
2021-08-05 08:30:08	ga_ls7e_ard_3-2-0_092075_2021-08-04_final
2021-08-05 08:30:32	ga_ls7e_ard_3-2-0_092076_2021-08-04_final
2021-08-05 08:30:56	ga_ls7e_ard_3-2-0_092077_2021-08-04_final
2021-08-05 08:31:20	ga_ls7e_ard_3-2-0_092078_2021-08-04_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
2021-08-07 08:21:11	ga_ls7e_ard_3-2-0_090084_2021-08-06_final
2021-08-07 08:21:35	ga_ls7e_ard_3-2-0_090085_2021-08-06_final
2021-08-07 08:21:59	ga_ls7e_ard_3-2-0_090086_2021-08-06_final
2021-08-12 08:35:17	ga_ls7e_ard_3-2-0_093074_2021-08-11_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
2021-08-14 08:25:09	ga_ls7e_ard_3-2-0_091080_2021-08-13_final
2021-08-14 08:25:33	ga_ls7e_ard_3-2-0_091081_2021-08-13_final
2021-08-14 08:25:56	ga_ls7e_ard_3-2-0_091082_2021-08-13_final
2021-08-14 08:26:20	ga_ls7e_ard_3-2-0_091083_2021-08-13_final
2021-08-16 08:14:36	ga_ls7e_ard_3-2-0_089085_2021-08-15_final
2021-08-16 08:15:00	ga_ls7e_ard_3-2-0_089086_2021-08-15_final
2021-08-19 08:38:03	ga_ls7e_ard_3-2-0_094067_2021-08-18_final
2021-10-10 08:14:21	ga_ls7e_ard_3-2-0_090081_2021-10-09_final
2021-10-10 08:14:45	ga_ls7e_ard_3-2-0_090082_2021-10-09_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