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
2003-12-28 09:09:11	ga_ls7e_ard_3-0-0_090084_2003-12-27_final
2003-12-28 09:09:35	ga_ls7e_ard_3-1-0_090085_2003-12-27_final
2003-12-28 09:09:59	ga_ls7e_ard_3-0-0_090086_2003-12-27_final
2003-12-28 09:10:47	ga_ls7e_ard_3-0-0_090088_2003-12-27_final
2004-01-13 09:08:48	ga_ls7e_ard_3-0-0_090083_2004-01-12_final
2004-01-13 09:09:12	ga_ls7e_ard_3-0-0_090084_2004-01-12_final
2004-01-13 09:09:36	ga_ls7e_ard_3-1-0_090085_2004-01-12_final
2004-01-13 09:10:00	ga_ls7e_ard_3-0-0_090086_2004-01-12_final
2004-01-22 09:05:07	ga_ls7e_ard_3-0-0_089089_2004-01-21_final
2004-01-22 09:05:31	ga_ls7e_ard_3-0-0_089090_2004-01-21_final
2004-01-25 09:27:16	ga_ls7e_ard_3-1-0_094067_2004-01-24_final
2004-03-17 09:09:09	ga_ls7e_ard_3-0-0_090083_2004-03-16_final
2004-03-17 09:09:33	ga_ls7e_ard_3-0-0_090084_2004-03-16_final
2004-03-17 09:09:57	ga_ls7e_ard_3-1-0_090085_2004-03-16_final
2004-03-17 09:10:21	ga_ls7e_ard_3-0-0_090086_2004-03-16_final
2004-03-17 09:11:09	ga_ls7e_ard_3-0-0_090088_2004-03-16_final
2004-04-23 09:23:58	ga_ls7e_ard_3-0-0_093074_2004-04-22_final
2004-04-23 09:24:22	ga_ls7e_ard_3-0-0_093075_2004-04-22_final
2004-04-23 09:24:46	ga_ls7e_ard_3-0-0_093076_2004-04-22_final
2004-04-25 09:13:37	ga_ls7e_ard_3-0-0_091079_2004-04-24_final
2004-04-25 09:14:00	ga_ls7e_ard_3-0-0_091080_2004-04-24_final
2004-04-25 09:14:24	ga_ls7e_ard_3-0-0_091081_2004-04-24_final
2004-04-25 09:14:48	ga_ls7e_ard_3-0-0_091082_2004-04-24_final
2004-04-25 09:15:12	ga_ls7e_ard_3-0-0_091083_2004-04-24_final
2004-04-25 09:15:36	ga_ls7e_ard_3-0-0_091084_2004-04-24_final
2004-04-25 09:16:00	ga_ls7e_ard_3-0-0_091085_2004-04-24_final
2004-05-29 09:05:15	ga_ls7e_ard_3-0-0_089089_2004-05-28_final
2004-05-29 09:05:39	ga_ls7e_ard_3-0-0_089090_2004-05-28_final
2004-06-28 09:13:30	ga_ls7e_ard_3-0-0_091079_2004-06-27_final
2004-06-28 09:13:54	ga_ls7e_ard_3-0-0_091080_2004-06-27_final
2004-06-28 09:14:17	ga_ls7e_ard_3-0-0_091081_2004-06-27_final
2004-06-28 09:14:41	ga_ls7e_ard_3-0-0_091082_2004-06-27_final
2004-06-28 09:15:05	ga_ls7e_ard_3-0-0_091083_2004-06-27_final
2004-06-28 09:15:29	ga_ls7e_ard_3-0-0_091084_2004-06-27_final
2004-06-28 09:15:53	ga_ls7e_ard_3-0-0_091085_2004-06-27_final
2004-07-16 09:05:28	ga_ls7e_ard_3-0-0_089090_2004-07-15_final
2004-07-21 09:19:36	ga_ls7e_ard_3-0-0_092079_2004-07-20_final
2004-07-21 09:19:59	ga_ls7e_ard_3-0-0_092080_2004-07-20_final
2004-07-21 09:20:23	ga_ls7e_ard_3-0-0_092081_2004-07-20_final
2018-09-21 09:32:38	ga_ls7e_ard_3-0-0_093074_2018-09-21_final
2018-09-21 09:33:02	ga_ls7e_ard_3-0-0_093075_2018-09-21_final
2018-09-21 09:33:26	ga_ls7e_ard_3-0-0_093076_2018-09-21_final
2019-01-09 09:39:24	ga_ls7e_ard_3-0-0_095067_2019-01-09_final
2019-01-11 09:30:34	ga_ls7e_ard_3-0-0_093076_2019-01-11_final
2019-02-26 09:37:54	ga_ls7e_ard_3-1-0_095067_2019-02-26_final
2019-05-17 09:35:05	ga_ls7e_ard_3-0-0_095067_2019-05-17_final
2019-05-19 09:25:26	ga_ls7e_ard_3-0-0_093074_2019-05-18_final
2019-05-19 09:25:50	ga_ls7e_ard_3-0-0_093075_2019-05-18_final
2019-05-19 09:26:14	ga_ls7e_ard_3-0-0_093076_2019-05-18_final
2019-05-21 09:14:59	ga_ls7e_ard_3-0-0_091079_2019-05-20_final
2019-05-21 09:15:23	ga_ls7e_ard_3-0-0_091080_2019-05-20_final
2019-05-21 09:15:47	ga_ls7e_ard_3-0-0_091081_2019-05-20_final
2019-05-21 09:16:11	ga_ls7e_ard_3-0-0_091082_2019-05-20_final
2019-05-21 09:16:35	ga_ls7e_ard_3-0-0_091083_2019-05-20_final
2019-05-21 09:16:59	ga_ls7e_ard_3-0-0_091084_2019-05-20_final
2019-05-21 09:17:23	ga_ls7e_ard_3-0-0_091085_2019-05-20_final
2019-06-06 09:14:25	ga_ls7e_ard_3-0-0_091079_2019-06-05_final
2019-06-06 09:14:49	ga_ls7e_ard_3-0-0_091080_2019-06-05_final
2019-06-06 09:15:13	ga_ls7e_ard_3-1-0_091081_2019-06-05_final
2019-06-06 09:15:37	ga_ls7e_ard_3-0-0_091082_2019-06-05_final
2019-06-06 09:16:01	ga_ls7e_ard_3-0-0_091083_2019-06-05_final
2019-06-06 09:16:25	ga_ls7e_ard_3-0-0_091084_2019-06-05_final
2019-06-06 09:16:49	ga_ls7e_ard_3-0-0_091085_2019-06-05_final
2020-03-20 09:01:17	ga_ls7e_ard_3-1-0_091079_2020-03-19_final
2020-03-20 09:01:40	ga_ls7e_ard_3-1-0_091080_2020-03-19_final
2020-03-20 09:02:04	ga_ls7e_ard_3-1-0_091081_2020-03-19_final
2020-03-20 09:02:28	ga_ls7e_ard_3-1-0_091082_2020-03-19_final
2020-03-20 09:02:52	ga_ls7e_ard_3-1-0_091083_2020-03-19_final
2020-03-20 09:03:16	ga_ls7e_ard_3-1-0_091084_2020-03-19_final
2020-08-18 08:56:49	ga_ls7e_ard_3-1-0_092075_2020-08-17_final
2020-08-18 08:57:13	ga_ls7e_ard_3-1-0_092076_2020-08-17_final
2020-08-18 08:57:37	ga_ls7e_ard_3-1-0_092077_2020-08-17_final
2020-08-18 08:58:01	ga_ls7e_ard_3-1-0_092078_2020-08-17_final
2020-08-18 08:58:25	ga_ls7e_ard_3-1-0_092079_2020-08-17_final
2020-08-18 08:58:48	ga_ls7e_ard_3-1-0_092080_2020-08-17_final
2020-08-18 08:59:12	ga_ls7e_ard_3-1-0_092081_2020-08-17_final
2020-09-21 08:45:25	ga_ls7e_ard_3-1-0_090083_2020-09-20_final
2020-09-21 08:45:49	ga_ls7e_ard_3-1-0_090084_2020-09-20_final
2020-09-21 08:46:13	ga_ls7e_ard_3-1-0_090085_2020-09-20_final
2020-09-21 08:46:36	ga_ls7e_ard_3-1-0_090086_2020-09-20_final
2020-09-21 08:47:24	ga_ls7e_ard_3-1-0_090088_2020-09-20_final
2020-09-21 08:47:48	ga_ls7e_ard_3-1-0_090089_2020-09-20_final
2020-10-28 08:57:58	ga_ls7e_ard_3-1-0_093074_2020-10-27_final
2020-10-28 08:58:22	ga_ls7e_ard_3-1-0_093075_2020-10-27_final
2020-10-28 08:58:46	ga_ls7e_ard_3-1-0_093076_2020-10-27_final
2020-12-08 08:50:06	ga_ls7e_ard_3-1-0_092077_2020-12-07_final
2020-12-08 08:51:18	ga_ls7e_ard_3-1-0_092080_2020-12-07_final
2020-12-08 08:51:42	ga_ls7e_ard_3-1-0_092081_2020-12-07_final
2020-12-10 08:39:59	ga_ls7e_ard_3-1-0_090083_2020-12-09_final
2020-12-10 08:40:23	ga_ls7e_ard_3-1-0_090084_2020-12-09_final
2020-12-10 08:40:47	ga_ls7e_ard_3-1-0_090085_2020-12-09_final
2020-12-10 08:41:59	ga_ls7e_ard_3-1-0_090088_2020-12-09_final
2020-12-10 08:42:23	ga_ls7e_ard_3-1-0_090089_2020-12-09_final
2020-12-13 09:04:17	ga_ls7e_ard_3-1-0_095067_2020-12-12_final
2020-12-15 08:54:33	ga_ls7e_ard_3-1-0_093074_2020-12-14_final
2020-12-15 08:54:57	ga_ls7e_ard_3-1-0_093075_2020-12-14_final
2020-12-15 08:55:21	ga_ls7e_ard_3-1-0_093076_2020-12-14_final
2020-12-17 08:44:02	ga_ls7e_ard_3-1-0_091079_2020-12-16_final
2020-12-17 08:44:26	ga_ls7e_ard_3-1-0_091080_2020-12-16_final
2020-12-17 08:45:14	ga_ls7e_ard_3-1-0_091082_2020-12-16_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