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
2008-04-02 11:06:40	ga_ls7e_ard_3-1-0_109081_2008-04-02_final
2008-04-02 11:07:04	ga_ls7e_ard_3-0-0_109082_2008-04-02_final
2008-04-02 11:07:28	ga_ls7e_ard_3-0-0_109083_2008-04-02_final
2008-04-02 11:07:52	ga_ls7e_ard_3-0-0_109084_2008-04-02_final
2008-04-30 11:25:44	ga_ls7e_ard_3-0-0_113067_2008-04-30_final
2019-11-23 11:18:31	ga_ls7e_ard_3-1-0_113067_2019-11-23_final
2019-11-25 11:08:03	ga_ls7e_ard_3-1-0_111072_2019-11-25_final
2019-11-25 11:08:27	ga_ls7e_ard_3-1-0_111073_2019-11-25_final
2019-11-25 11:08:51	ga_ls7e_ard_3-1-0_111074_2019-11-25_final
2019-11-25 11:09:15	ga_ls7e_ard_3-1-0_111075_2019-11-25_final
2019-11-25 11:09:39	ga_ls7e_ard_3-1-0_111076_2019-11-25_final
2019-11-25 11:10:03	ga_ls7e_ard_3-1-0_111077_2019-11-25_final
2019-11-25 11:10:27	ga_ls7e_ard_3-1-0_111078_2019-11-25_final
2019-11-27 10:59:11	ga_ls7e_ard_3-1-0_109081_2019-11-27_final
2019-11-27 10:59:35	ga_ls7e_ard_3-1-0_109082_2019-11-27_final
2019-11-27 10:59:59	ga_ls7e_ard_3-1-0_109083_2019-11-27_final
2019-11-27 11:00:23	ga_ls7e_ard_3-1-0_109084_2019-11-27_final
2020-01-10 11:16:05	ga_ls7e_ard_3-1-0_113067_2020-01-10_final
2020-01-12 11:06:01	ga_ls7e_ard_3-1-0_111073_2020-01-12_final
2020-01-12 11:06:25	ga_ls7e_ard_3-1-0_111074_2020-01-12_final
2020-01-12 11:06:49	ga_ls7e_ard_3-1-0_111075_2020-01-12_final
2020-01-12 11:07:13	ga_ls7e_ard_3-1-0_111076_2020-01-12_final
2020-01-12 11:07:37	ga_ls7e_ard_3-1-0_111077_2020-01-12_final
2020-01-12 11:08:01	ga_ls7e_ard_3-1-0_111078_2020-01-12_final
2020-01-14 10:56:45	ga_ls7e_ard_3-1-0_109081_2020-01-14_final
2020-01-14 10:57:09	ga_ls7e_ard_3-1-0_109082_2020-01-14_final
2020-01-14 10:57:33	ga_ls7e_ard_3-1-0_109083_2020-01-14_final
2020-01-19 11:12:15	ga_ls7e_ard_3-1-0_112074_2020-01-19_final
2020-01-21 11:01:00	ga_ls7e_ard_3-1-0_110077_2020-01-21_final
2020-01-21 11:01:24	ga_ls7e_ard_3-1-0_110078_2020-01-21_final
2020-01-21 11:01:48	ga_ls7e_ard_3-1-0_110079_2020-01-21_final
2020-01-21 11:02:12	ga_ls7e_ard_3-1-0_110080_2020-01-21_final
2020-01-21 11:02:36	ga_ls7e_ard_3-1-0_110081_2020-01-21_final
2020-01-21 11:02:59	ga_ls7e_ard_3-1-0_110082_2020-01-21_final
2020-01-21 11:03:23	ga_ls7e_ard_3-1-0_110083_2020-01-21_final
2020-02-13 11:04:25	ga_ls7e_ard_3-1-0_111073_2020-02-13_final
2020-02-13 11:04:49	ga_ls7e_ard_3-1-0_111074_2020-02-13_final
2020-02-13 11:05:13	ga_ls7e_ard_3-1-0_111075_2020-02-13_final
2020-02-13 11:05:37	ga_ls7e_ard_3-1-0_111076_2020-02-13_final
2020-02-13 11:06:01	ga_ls7e_ard_3-1-0_111077_2020-02-13_final
2020-02-13 11:06:25	ga_ls7e_ard_3-1-0_111078_2020-02-13_final
2020-02-15 10:55:09	ga_ls7e_ard_3-1-0_109081_2020-02-15_final
2020-02-15 10:55:33	ga_ls7e_ard_3-1-0_109082_2020-02-15_final
2020-02-15 10:55:56	ga_ls7e_ard_3-1-0_109083_2020-02-15_final
2020-02-15 10:56:20	ga_ls7e_ard_3-1-0_109084_2020-02-15_final
2020-02-20 11:10:38	ga_ls7e_ard_3-1-0_112074_2020-02-20_final
2020-02-22 10:59:22	ga_ls7e_ard_3-1-0_110077_2020-02-22_final
2020-02-22 10:59:46	ga_ls7e_ard_3-1-0_110078_2020-02-22_final
2020-02-22 11:00:57	ga_ls7e_ard_3-1-0_110081_2020-02-22_final
2020-05-17 11:09:03	ga_ls7e_ard_3-1-0_113067_2020-05-17_final
2020-05-26 11:05:06	ga_ls7e_ard_3-1-0_112074_2020-05-26_final
2020-05-28 10:53:49	ga_ls7e_ard_3-1-0_110077_2020-05-28_final
2020-05-28 10:54:13	ga_ls7e_ard_3-1-0_110078_2020-05-28_final
2020-05-28 10:54:37	ga_ls7e_ard_3-1-0_110079_2020-05-28_final
2020-05-28 10:55:01	ga_ls7e_ard_3-1-0_110080_2020-05-28_final
2020-05-28 10:55:25	ga_ls7e_ard_3-1-0_110081_2020-05-28_final
2020-05-28 10:55:49	ga_ls7e_ard_3-1-0_110082_2020-05-28_final
2020-05-28 10:56:13	ga_ls7e_ard_3-1-0_110083_2020-05-28_final
2020-07-29 11:01:17	ga_ls7e_ard_3-1-0_112074_2020-07-29_final
2020-07-31 10:49:59	ga_ls7e_ard_3-1-0_110077_2020-07-31_final
2020-07-31 10:50:23	ga_ls7e_ard_3-1-0_110078_2020-07-31_final
2020-07-31 10:50:47	ga_ls7e_ard_3-1-0_110079_2020-07-31_final
2020-07-31 10:51:11	ga_ls7e_ard_3-1-0_110080_2020-07-31_final
2020-07-31 10:51:35	ga_ls7e_ard_3-1-0_110081_2020-07-31_final
2020-07-31 10:51:59	ga_ls7e_ard_3-1-0_110082_2020-07-31_final
2020-07-31 10:52:23	ga_ls7e_ard_3-1-0_110083_2020-07-31_final
2021-01-14 10:42:52	ga_ls7e_ard_3-1-0_111072_2021-01-14_final
2021-01-14 10:43:16	ga_ls7e_ard_3-1-0_111073_2021-01-14_final
2021-01-14 10:43:40	ga_ls7e_ard_3-1-0_111074_2021-01-14_final
2021-01-14 10:44:04	ga_ls7e_ard_3-1-0_111075_2021-01-14_final
2021-01-14 10:44:28	ga_ls7e_ard_3-1-0_111076_2021-01-14_final
2021-01-14 10:44:51	ga_ls7e_ard_3-1-0_111077_2021-01-14_final
2021-01-14 10:45:15	ga_ls7e_ard_3-1-0_111078_2021-01-14_final
2021-01-16 10:33:57	ga_ls7e_ard_3-1-0_109081_2021-01-16_final
2021-01-16 10:34:21	ga_ls7e_ard_3-1-0_109082_2021-01-16_final
2021-01-16 10:34:45	ga_ls7e_ard_3-1-0_109083_2021-01-16_final
2021-01-16 10:35:09	ga_ls7e_ard_3-1-0_109084_2021-01-16_final
2021-01-21 10:49:20	ga_ls7e_ard_3-2-0_112074_2021-01-21_final
2021-01-23 10:38:26	ga_ls7e_ard_3-2-0_110078_2021-01-23_final
2021-01-23 10:38:50	ga_ls7e_ard_3-2-0_110079_2021-01-23_final
2021-01-23 10:39:14	ga_ls7e_ard_3-2-0_110080_2021-01-23_final
2021-01-23 10:39:38	ga_ls7e_ard_3-2-0_110081_2021-01-23_final
2021-01-23 10:40:02	ga_ls7e_ard_3-2-0_110082_2021-01-23_final
2021-01-23 10:40:26	ga_ls7e_ard_3-2-0_110083_2021-01-23_final
2021-04-04 10:36:44	ga_ls7e_ard_3-2-0_111072_2021-04-04_final
2021-04-04 10:37:08	ga_ls7e_ard_3-2-0_111073_2021-04-04_final
2021-04-04 10:37:32	ga_ls7e_ard_3-2-0_111074_2021-04-04_final
2021-04-04 10:37:56	ga_ls7e_ard_3-2-0_111075_2021-04-04_final
2021-04-04 10:38:19	ga_ls7e_ard_3-2-0_111076_2021-04-04_final
2021-04-04 10:38:43	ga_ls7e_ard_3-2-0_111077_2021-04-04_final
2021-04-04 10:39:07	ga_ls7e_ard_3-2-0_111078_2021-04-04_final
2021-04-06 10:27:48	ga_ls7e_ard_3-2-0_109081_2021-04-06_final
2021-04-06 10:28:12	ga_ls7e_ard_3-2-0_109082_2021-04-06_final
2021-04-06 10:28:36	ga_ls7e_ard_3-2-0_109083_2021-04-06_final
2021-04-11 10:40:20	ga_ls7e_ard_3-2-0_112067_2021-04-11_final
2021-04-11 10:43:08	ga_ls7e_ard_3-2-0_112074_2021-04-11_final
2021-04-13 10:31:48	ga_ls7e_ard_3-2-0_110077_2021-04-13_final
2021-04-13 10:32:12	ga_ls7e_ard_3-2-0_110078_2021-04-13_final
2021-04-13 10:33:24	ga_ls7e_ard_3-2-0_110081_2021-04-13_final
2021-04-13 10:33:47	ga_ls7e_ard_3-2-0_110082_2021-04-13_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years