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
2013-09-12 11:29:53	ga_ls7e_ard_3-0-0_112079_2013-09-12_final
2013-09-12 11:30:16	ga_ls7e_ard_3-0-0_112080_2013-09-12_final
2013-09-12 11:30:40	ga_ls7e_ard_3-0-0_112081_2013-09-12_final
2013-09-12 11:31:04	ga_ls7e_ard_3-0-0_112082_2013-09-12_final
2013-09-12 11:31:28	ga_ls7e_ard_3-0-0_112083_2013-09-12_final
2013-09-12 11:31:52	ga_ls7e_ard_3-1-0_112084_2013-09-12_final
2013-11-22 11:34:39	ga_ls7e_ard_3-0-0_113074_2013-11-22_final
2013-11-22 11:35:03	ga_ls7e_ard_3-0-0_113075_2013-11-22_final
2013-11-22 11:35:27	ga_ls7e_ard_3-0-0_113076_2013-11-22_final
2013-11-22 11:35:51	ga_ls7e_ard_3-0-0_113077_2013-11-22_final
2013-11-22 11:36:15	ga_ls7e_ard_3-0-0_113078_2013-11-22_final
2013-11-22 11:36:39	ga_ls7e_ard_3-0-0_113079_2013-11-22_final
2013-11-22 11:37:03	ga_ls7e_ard_3-0-0_113080_2013-11-22_final
2013-11-24 11:25:55	ga_ls7e_ard_3-0-0_111083_2013-11-24_final
2013-12-17 11:30:35	ga_ls7e_ard_3-0-0_112079_2013-12-17_final
2013-12-17 11:30:59	ga_ls7e_ard_3-0-0_112080_2013-12-17_final
2013-12-17 11:31:23	ga_ls7e_ard_3-0-0_112081_2013-12-17_final
2013-12-17 11:31:47	ga_ls7e_ard_3-0-0_112082_2013-12-17_final
2013-12-17 11:32:10	ga_ls7e_ard_3-0-0_112083_2013-12-17_final
2013-12-17 11:32:34	ga_ls7e_ard_3-1-0_112084_2013-12-17_final
2013-12-24 11:34:50	ga_ls7e_ard_3-0-0_113074_2013-12-24_final
2013-12-24 11:35:14	ga_ls7e_ard_3-0-0_113075_2013-12-24_final
2013-12-24 11:35:38	ga_ls7e_ard_3-0-0_113076_2013-12-24_final
2013-12-24 11:36:02	ga_ls7e_ard_3-0-0_113077_2013-12-24_final
2013-12-24 11:36:26	ga_ls7e_ard_3-0-0_113078_2013-12-24_final
2013-12-24 11:36:50	ga_ls7e_ard_3-0-0_113079_2013-12-24_final
2013-12-24 11:37:14	ga_ls7e_ard_3-0-0_113080_2013-12-24_final
2013-12-26 11:26:05	ga_ls7e_ard_3-0-0_111083_2013-12-26_final
2013-12-26 11:26:29	ga_ls7e_ard_3-0-0_111084_2013-12-26_final
2014-02-19 11:30:57	ga_ls7e_ard_3-0-0_112079_2014-02-19_final
2014-02-19 11:31:21	ga_ls7e_ard_3-0-0_112080_2014-02-19_final
2014-02-19 11:31:45	ga_ls7e_ard_3-0-0_112081_2014-02-19_final
2014-02-19 11:32:09	ga_ls7e_ard_3-0-0_112082_2014-02-19_final
2014-02-19 11:32:33	ga_ls7e_ard_3-0-0_112083_2014-02-19_final
2014-02-19 11:32:57	ga_ls7e_ard_3-0-0_112084_2014-02-19_final
2014-03-16 11:26:33	ga_ls7e_ard_3-0-0_111083_2014-03-16_final
2014-03-16 11:26:57	ga_ls7e_ard_3-0-0_111084_2014-03-16_final
2017-04-16 11:36:37	ga_ls7e_ard_3-0-0_112079_2017-04-16_final
2017-04-16 11:37:01	ga_ls7e_ard_3-0-0_112080_2017-04-16_final
2017-04-16 11:37:25	ga_ls7e_ard_3-0-0_112081_2017-04-16_final
2017-04-16 11:37:48	ga_ls7e_ard_3-0-0_112082_2017-04-16_final
2017-04-16 11:38:12	ga_ls7e_ard_3-0-0_112083_2017-04-16_final
2017-04-16 11:38:36	ga_ls7e_ard_3-0-0_112084_2017-04-16_final
2017-05-09 11:40:55	ga_ls7e_ard_3-0-0_113074_2017-05-09_final
2017-05-09 11:41:19	ga_ls7e_ard_3-0-0_113075_2017-05-09_final
2017-05-09 11:41:43	ga_ls7e_ard_3-0-0_113076_2017-05-09_final
2017-05-09 11:42:07	ga_ls7e_ard_3-0-0_113077_2017-05-09_final
2017-05-09 11:42:31	ga_ls7e_ard_3-0-0_113078_2017-05-09_final
2017-05-09 11:42:55	ga_ls7e_ard_3-0-0_113079_2017-05-09_final
2017-05-09 11:43:19	ga_ls7e_ard_3-0-0_113080_2017-05-09_final
2017-06-19 11:36:53	ga_ls7e_ard_3-0-0_112079_2017-06-19_final
2017-06-19 11:37:17	ga_ls7e_ard_3-0-0_112080_2017-06-19_final
2017-06-19 11:37:41	ga_ls7e_ard_3-0-0_112081_2017-06-19_final
2017-06-19 11:38:05	ga_ls7e_ard_3-0-0_112082_2017-06-19_final
2017-06-19 11:38:29	ga_ls7e_ard_3-0-0_112083_2017-06-19_final
2017-06-19 11:38:53	ga_ls7e_ard_3-1-0_112084_2017-06-19_final
2017-08-04 11:47:15	ga_ls7e_ard_3-0-0_114074_2017-08-04_final
2017-08-04 11:47:39	ga_ls7e_ard_3-0-0_114075_2017-08-04_final
2017-08-04 11:48:03	ga_ls7e_ard_3-0-0_114076_2017-08-04_final
2017-08-06 11:36:53	ga_ls7e_ard_3-1-0_112079_2017-08-06_final
2017-08-06 11:37:17	ga_ls7e_ard_3-0-0_112080_2017-08-06_final
2017-08-06 11:37:41	ga_ls7e_ard_3-0-0_112081_2017-08-06_final
2017-08-06 11:38:29	ga_ls7e_ard_3-0-0_112083_2017-08-06_final
2017-08-06 11:38:53	ga_ls7e_ard_3-0-0_112084_2017-08-06_final
2017-09-16 11:32:15	ga_ls7e_ard_3-0-0_111083_2017-09-16_final
2017-09-16 11:32:39	ga_ls7e_ard_3-0-0_111084_2017-09-16_final
2017-09-30 11:41:02	ga_ls7e_ard_3-0-0_113074_2017-09-30_final
2017-09-30 11:41:26	ga_ls7e_ard_3-0-0_113075_2017-09-30_final
2017-09-30 11:41:50	ga_ls7e_ard_3-0-0_113076_2017-09-30_final
2017-09-30 11:42:14	ga_ls7e_ard_3-0-0_113077_2017-09-30_final
2017-09-30 11:42:38	ga_ls7e_ard_3-0-0_113078_2017-09-30_final
2017-09-30 11:43:02	ga_ls7e_ard_3-0-0_113079_2017-09-30_final
2017-09-30 11:43:26	ga_ls7e_ard_3-0-0_113080_2017-09-30_final
2017-10-02 11:31:52	ga_ls7e_ard_3-1-0_111082_2017-10-02_final
2017-10-02 11:32:16	ga_ls7e_ard_3-0-0_111083_2017-10-02_final
2017-11-17 11:41:02	ga_ls7e_ard_3-0-0_113074_2017-11-17_final
2017-11-17 11:41:26	ga_ls7e_ard_3-0-0_113075_2017-11-17_final
2017-11-17 11:41:50	ga_ls7e_ard_3-0-0_113076_2017-11-17_final
2017-11-17 11:42:14	ga_ls7e_ard_3-0-0_113077_2017-11-17_final
2017-11-17 11:42:37	ga_ls7e_ard_3-0-0_113078_2017-11-17_final
2017-11-17 11:43:01	ga_ls7e_ard_3-0-0_113079_2017-11-17_final
2021-09-18 10:31:28	ga_ls7e_ard_3-2-0_112079_2021-09-18_final
2021-09-18 10:31:52	ga_ls7e_ard_3-2-0_112080_2021-09-18_final
2021-09-18 10:32:16	ga_ls7e_ard_3-2-0_112081_2021-09-18_final
2021-09-18 10:32:40	ga_ls7e_ard_3-2-0_112082_2021-09-18_final
2021-09-18 10:33:04	ga_ls7e_ard_3-2-0_112083_2021-09-18_final
2021-09-18 10:33:28	ga_ls7e_ard_3-2-0_112084_2021-09-18_final
2022-01-01 10:17:03	ga_ls7e_ard_3-2-1_111083_2022-01-01_final
2022-01-01 10:17:26	ga_ls7e_ard_3-2-1_111084_2022-01-01_final
2022-01-15 10:24:52	ga_ls7e_ard_3-2-1_113075_2022-01-15_final
2022-01-15 10:25:16	ga_ls7e_ard_3-2-1_113076_2022-01-15_final
2022-01-15 10:25:40	ga_ls7e_ard_3-2-1_113077_2022-01-15_final
2022-01-15 10:26:04	ga_ls7e_ard_3-2-1_113078_2022-01-15_final
2022-01-15 10:26:28	ga_ls7e_ard_3-2-1_113079_2022-01-15_final
2022-01-15 10:26:52	ga_ls7e_ard_3-2-1_113080_2022-01-15_final
2022-01-15 10:27:16	ga_ls7e_ard_3-2-1_113081_2022-01-15_final
2022-03-06 10:10:47	ga_ls7e_ard_3-2-1_111083_2022-03-06_final
2022-03-06 10:11:10	ga_ls7e_ard_3-2-1_111084_2022-03-06_final
2022-03-11 10:25:13	ga_ls7e_ard_3-2-1_114074_2022-03-11_final
2022-03-11 10:25:37	ga_ls7e_ard_3-2-1_114075_2022-03-11_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