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
2018-05-28 11:38:28	ga_ls7e_ard_3-0-0_113074_2018-05-28_final
2018-05-28 11:38:52	ga_ls7e_ard_3-0-0_113075_2018-05-28_final
2018-05-28 11:39:16	ga_ls7e_ard_3-0-0_113076_2018-05-28_final
2018-05-28 11:39:40	ga_ls7e_ard_3-0-0_113077_2018-05-28_final
2018-05-28 11:40:04	ga_ls7e_ard_3-0-0_113078_2018-05-28_final
2018-06-20 11:44:14	ga_ls7e_ard_3-0-0_114074_2018-06-20_final
2018-08-09 11:32:09	ga_ls7e_ard_3-0-0_112077_2018-08-09_final
2018-08-09 11:32:33	ga_ls7e_ard_3-0-0_112078_2018-08-09_final
2018-08-09 11:32:57	ga_ls7e_ard_3-1-0_112079_2018-08-09_final
2018-08-09 11:33:21	ga_ls7e_ard_3-0-0_112080_2018-08-09_final
2018-08-09 11:33:45	ga_ls7e_ard_3-0-0_112081_2018-08-09_final
2018-08-09 11:34:09	ga_ls7e_ard_3-0-0_112082_2018-08-09_final
2018-08-09 11:34:33	ga_ls7e_ard_3-0-0_112083_2018-08-09_final
2019-06-25 11:22:43	ga_ls7e_ard_3-1-0_112077_2019-06-25_final
2019-06-25 11:23:06	ga_ls7e_ard_3-0-0_112078_2019-06-25_final
2019-06-25 11:23:30	ga_ls7e_ard_3-0-0_112079_2019-06-25_final
2019-06-25 11:23:54	ga_ls7e_ard_3-0-0_112080_2019-06-25_final
2019-06-25 11:24:18	ga_ls7e_ard_3-0-0_112081_2019-06-25_final
2019-06-25 11:25:06	ga_ls7e_ard_3-0-0_112083_2019-06-25_final
2019-07-09 11:33:20	ga_ls7e_ard_3-0-0_114074_2019-07-09_final
2019-08-26 11:31:23	ga_ls7e_ard_3-1-0_114074_2019-08-26_final
2019-08-28 11:20:08	ga_ls7e_ard_3-1-0_112077_2019-08-28_final
2019-08-28 11:20:32	ga_ls7e_ard_3-1-0_112078_2019-08-28_final
2019-08-28 11:20:56	ga_ls7e_ard_3-1-0_112079_2019-08-28_final
2019-08-28 11:21:20	ga_ls7e_ard_3-1-0_112080_2019-08-28_final
2019-08-28 11:21:44	ga_ls7e_ard_3-1-0_112081_2019-08-28_final
2019-08-28 11:22:08	ga_ls7e_ard_3-1-0_112082_2019-08-28_final
2019-08-28 11:22:32	ga_ls7e_ard_3-1-0_112083_2019-08-28_final
2019-09-11 11:30:41	ga_ls7e_ard_3-1-0_114074_2019-09-11_final
2019-09-13 11:19:26	ga_ls7e_ard_3-1-0_112077_2019-09-13_final
2019-09-13 11:19:50	ga_ls7e_ard_3-1-0_112078_2019-09-13_final
2019-09-13 11:20:14	ga_ls7e_ard_3-1-0_112079_2019-09-13_final
2019-09-13 11:20:38	ga_ls7e_ard_3-1-0_112080_2019-09-13_final
2019-09-13 11:21:02	ga_ls7e_ard_3-1-0_112081_2019-09-13_final
2019-09-13 11:21:26	ga_ls7e_ard_3-1-0_112082_2019-09-13_final
2019-09-13 11:21:50	ga_ls7e_ard_3-1-0_112083_2019-09-13_final
2019-10-06 11:23:26	ga_ls7e_ard_3-1-0_113074_2019-10-06_final
2019-10-06 11:23:50	ga_ls7e_ard_3-1-0_113075_2019-10-06_final
2019-10-06 11:24:14	ga_ls7e_ard_3-1-0_113076_2019-10-06_final
2019-10-06 11:24:38	ga_ls7e_ard_3-1-0_113077_2019-10-06_final
2019-10-06 11:25:02	ga_ls7e_ard_3-1-0_113078_2019-10-06_final
2020-08-21 11:06:00	ga_ls7e_ard_3-1-0_113074_2020-08-21_final
2020-08-21 11:06:24	ga_ls7e_ard_3-1-0_113075_2020-08-21_final
2020-08-23 10:56:18	ga_ls7e_ard_3-1-0_111081_2020-08-23_final
2020-08-23 10:57:06	ga_ls7e_ard_3-1-0_111083_2020-08-23_final
2020-08-23 10:57:30	ga_ls7e_ard_3-1-0_111084_2020-08-23_final
2020-09-22 11:03:53	ga_ls7e_ard_3-1-0_113074_2020-09-22_final
2020-09-22 11:04:17	ga_ls7e_ard_3-1-0_113075_2020-09-22_final
2020-09-22 11:04:41	ga_ls7e_ard_3-1-0_113076_2020-09-22_final
2020-09-22 11:05:05	ga_ls7e_ard_3-1-0_113077_2020-09-22_final
2020-09-22 11:05:29	ga_ls7e_ard_3-1-0_113078_2020-09-22_final
2020-10-08 11:02:53	ga_ls7e_ard_3-1-0_113074_2020-10-08_final
2020-10-08 11:03:17	ga_ls7e_ard_3-1-0_113075_2020-10-08_final
2020-10-08 11:03:41	ga_ls7e_ard_3-1-0_113076_2020-10-08_final
2020-10-08 11:04:05	ga_ls7e_ard_3-1-0_113077_2020-10-08_final
2020-10-08 11:04:28	ga_ls7e_ard_3-1-0_113078_2020-10-08_final
2020-10-26 10:52:08	ga_ls7e_ard_3-1-0_111081_2020-10-26_final
2020-10-26 10:52:32	ga_ls7e_ard_3-1-0_111082_2020-10-26_final
2020-10-26 10:52:56	ga_ls7e_ard_3-1-0_111083_2020-10-26_final
2020-10-26 10:53:20	ga_ls7e_ard_3-1-0_111084_2020-10-26_final
2020-10-31 11:07:33	ga_ls7e_ard_3-1-0_114074_2020-10-31_final
2020-12-18 11:04:06	ga_ls7e_ard_3-1-0_114074_2020-12-18_final
2020-12-20 10:52:47	ga_ls7e_ard_3-1-0_112077_2020-12-20_final
2020-12-20 10:53:11	ga_ls7e_ard_3-1-0_112078_2020-12-20_final
2020-12-20 10:53:35	ga_ls7e_ard_3-1-0_112079_2020-12-20_final
2020-12-20 10:53:59	ga_ls7e_ard_3-1-0_112080_2020-12-20_final
2020-12-20 10:54:23	ga_ls7e_ard_3-1-0_112081_2020-12-20_final
2020-12-20 10:54:47	ga_ls7e_ard_3-1-0_112082_2020-12-20_final
2020-12-20 10:55:11	ga_ls7e_ard_3-1-0_112083_2020-12-20_final
2020-12-27 10:57:16	ga_ls7e_ard_3-1-0_113074_2020-12-27_final
2020-12-27 10:57:40	ga_ls7e_ard_3-1-0_113075_2020-12-27_final
2020-12-27 10:58:04	ga_ls7e_ard_3-1-0_113076_2020-12-27_final
2020-12-27 10:58:28	ga_ls7e_ard_3-1-0_113077_2020-12-27_final
2020-12-27 10:58:52	ga_ls7e_ard_3-1-0_113078_2020-12-27_final
2020-12-29 10:47:34	ga_ls7e_ard_3-1-0_111081_2020-12-29_final
2020-12-29 10:47:58	ga_ls7e_ard_3-1-0_111082_2020-12-29_final
2020-12-29 10:48:22	ga_ls7e_ard_3-1-0_111083_2020-12-29_final
2020-12-29 10:48:46	ga_ls7e_ard_3-1-0_111084_2020-12-29_final
2021-01-03 11:02:58	ga_ls7e_ard_3-1-0_114074_2021-01-03_final
2021-01-21 10:50:32	ga_ls7e_ard_3-2-0_112077_2021-01-21_final
2021-01-21 10:50:56	ga_ls7e_ard_3-2-0_112078_2021-01-21_final
2021-01-21 10:51:20	ga_ls7e_ard_3-2-0_112079_2021-01-21_final
2021-01-21 10:51:44	ga_ls7e_ard_3-2-0_112080_2021-01-21_final
2021-01-21 10:52:08	ga_ls7e_ard_3-2-0_112081_2021-01-21_final
2021-01-21 10:52:32	ga_ls7e_ard_3-2-0_112082_2021-01-21_final
2021-01-21 10:52:56	ga_ls7e_ard_3-2-0_112083_2021-01-21_final
2021-01-28 10:55:01	ga_ls7e_ard_3-2-0_113074_2021-01-28_final
2021-01-28 10:55:25	ga_ls7e_ard_3-2-0_113075_2021-01-28_final
2021-01-28 10:55:49	ga_ls7e_ard_3-2-0_113076_2021-01-28_final
2021-01-28 10:56:13	ga_ls7e_ard_3-2-0_113077_2021-01-28_final
2021-01-28 10:56:37	ga_ls7e_ard_3-2-0_113078_2021-01-28_final
2022-03-22 10:08:47	ga_ls7e_ard_3-2-1_111082_2022-03-22_final
2022-03-22 10:09:11	ga_ls7e_ard_3-2-1_111083_2022-03-22_final
2022-03-27 10:23:40	ga_ls7e_ard_3-2-1_114074_2022-03-27_final
2022-03-29 10:12:19	ga_ls7e_ard_3-2-1_112077_2022-03-29_final
2022-03-29 10:12:43	ga_ls7e_ard_3-2-1_112078_2022-03-29_final
2022-03-29 10:13:07	ga_ls7e_ard_3-2-1_112079_2022-03-29_final
2022-03-29 10:13:31	ga_ls7e_ard_3-2-1_112080_2022-03-29_final
2022-03-29 10:13:55	ga_ls7e_ard_3-2-1_112081_2022-03-29_final
2022-03-29 10:14:19	ga_ls7e_ard_3-2-1_112082_2022-03-29_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