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
2006-11-21 09:39:59	ga_ls7e_ard_3-1-0_095081_2006-11-21_final
2016-10-15 09:51:57	ga_ls7e_ard_3-1-0_095079_2016-10-15_final
2017-02-04 09:51:11	ga_ls7e_ard_3-1-0_095079_2017-02-04_final
2019-02-26 09:43:30	ga_ls7e_ard_3-1-0_095081_2019-02-26_final
2019-02-26 09:43:53	ga_ls7e_ard_3-1-0_095082_2019-02-26_final
2019-02-26 09:44:17	ga_ls7e_ard_3-1-0_095083_2019-02-26_final
2019-02-26 09:44:41	ga_ls7e_ard_3-1-0_095084_2019-02-26_final
2019-02-26 09:45:29	ga_ls7e_ard_3-1-0_095086_2019-02-26_final
2019-03-14 09:42:35	ga_ls7e_ard_3-1-0_095080_2019-03-14_final
2019-03-14 09:42:59	ga_ls7e_ard_3-1-0_095081_2019-03-14_final
2019-03-14 09:43:23	ga_ls7e_ard_3-1-0_095082_2019-03-14_final
2019-03-14 09:43:47	ga_ls7e_ard_3-1-0_095083_2019-03-14_final
2019-03-14 09:44:11	ga_ls7e_ard_3-1-0_095084_2019-03-14_final
2019-03-14 09:44:35	ga_ls7e_ard_3-1-0_095085_2019-03-14_final
2019-03-14 09:44:59	ga_ls7e_ard_3-1-0_095086_2019-03-14_final
2019-03-14 09:45:23	ga_ls7e_ard_3-1-0_095087_2019-03-14_final
2019-09-06 09:35:53	ga_ls7e_ard_3-1-0_095080_2019-09-06_final
2019-09-06 09:36:17	ga_ls7e_ard_3-1-0_095081_2019-09-06_final
2019-09-06 09:36:41	ga_ls7e_ard_3-1-0_095082_2019-09-06_final
2019-09-06 09:37:04	ga_ls7e_ard_3-1-0_095083_2019-09-06_final
2019-09-06 09:38:16	ga_ls7e_ard_3-1-0_095086_2019-09-06_final
2019-09-06 09:38:40	ga_ls7e_ard_3-1-0_095087_2019-09-06_final
2019-09-22 09:35:10	ga_ls7e_ard_3-1-0_095080_2019-09-22_final
2019-09-22 09:35:34	ga_ls7e_ard_3-1-0_095081_2019-09-22_final
2019-09-22 09:35:58	ga_ls7e_ard_3-1-0_095082_2019-09-22_final
2019-09-22 09:36:46	ga_ls7e_ard_3-1-0_095084_2019-09-22_final
2019-09-22 09:37:10	ga_ls7e_ard_3-1-0_095085_2019-09-22_final
2019-09-22 09:37:34	ga_ls7e_ard_3-1-0_095086_2019-09-22_final
2019-10-08 09:34:30	ga_ls7e_ard_3-1-0_095080_2019-10-08_final
2019-10-08 09:34:54	ga_ls7e_ard_3-1-0_095081_2019-10-08_final
2019-10-08 09:35:18	ga_ls7e_ard_3-1-0_095082_2019-10-08_final
2019-10-08 09:35:42	ga_ls7e_ard_3-1-0_095083_2019-10-08_final
2019-10-08 09:36:06	ga_ls7e_ard_3-1-0_095084_2019-10-08_final
2019-10-08 09:36:54	ga_ls7e_ard_3-1-0_095086_2019-10-08_final
2019-10-08 09:37:18	ga_ls7e_ard_3-1-0_095087_2019-10-08_final
2019-10-24 09:33:49	ga_ls7e_ard_3-1-0_095080_2019-10-24_final
2019-10-24 09:34:13	ga_ls7e_ard_3-1-0_095081_2019-10-24_final
2019-10-24 09:34:37	ga_ls7e_ard_3-1-0_095082_2019-10-24_final
2019-10-24 09:35:01	ga_ls7e_ard_3-1-0_095083_2019-10-24_final
2019-10-24 09:35:25	ga_ls7e_ard_3-1-0_095084_2019-10-24_final
2019-10-24 09:35:49	ga_ls7e_ard_3-1-0_095085_2019-10-24_final
2019-10-24 09:36:13	ga_ls7e_ard_3-1-0_095086_2019-10-24_final
2019-11-09 09:33:31	ga_ls7e_ard_3-1-0_095081_2019-11-09_final
2019-11-09 09:33:54	ga_ls7e_ard_3-1-0_095082_2019-11-09_final
2019-11-09 09:34:18	ga_ls7e_ard_3-1-0_095083_2019-11-09_final
2019-11-09 09:34:42	ga_ls7e_ard_3-1-0_095084_2019-11-09_final
2019-11-25 09:32:46	ga_ls7e_ard_3-1-0_095081_2019-11-25_final
2019-11-25 09:33:10	ga_ls7e_ard_3-1-0_095082_2019-11-25_final
2019-11-25 09:33:33	ga_ls7e_ard_3-1-0_095083_2019-11-25_final
2019-11-25 09:33:57	ga_ls7e_ard_3-1-0_095084_2019-11-25_final
2019-12-11 09:31:35	ga_ls7e_ard_3-1-0_095080_2019-12-11_final
2019-12-11 09:31:58	ga_ls7e_ard_3-1-0_095081_2019-12-11_final
2019-12-11 09:32:46	ga_ls7e_ard_3-1-0_095083_2019-12-11_final
2019-12-11 09:33:10	ga_ls7e_ard_3-1-0_095084_2019-12-11_final
2019-12-11 09:33:58	ga_ls7e_ard_3-1-0_095086_2019-12-11_final
2019-12-27 09:30:45	ga_ls7e_ard_3-1-0_095080_2019-12-27_final
2019-12-27 09:31:33	ga_ls7e_ard_3-1-0_095082_2019-12-27_final
2019-12-27 09:31:57	ga_ls7e_ard_3-1-0_095083_2019-12-27_final
2019-12-27 09:32:21	ga_ls7e_ard_3-1-0_095084_2019-12-27_final
2019-12-27 09:32:45	ga_ls7e_ard_3-1-0_095085_2019-12-27_final
2019-12-27 09:33:09	ga_ls7e_ard_3-1-0_095086_2019-12-27_final
2019-12-27 09:33:33	ga_ls7e_ard_3-1-0_095087_2019-12-27_final
2020-01-12 09:30:20	ga_ls7e_ard_3-1-0_095081_2020-01-12_final
2020-01-12 09:30:44	ga_ls7e_ard_3-1-0_095082_2020-01-12_final
2020-01-12 09:31:08	ga_ls7e_ard_3-1-0_095083_2020-01-12_final
2020-01-12 09:31:32	ga_ls7e_ard_3-1-0_095084_2020-01-12_final
2020-01-12 09:31:56	ga_ls7e_ard_3-1-0_095085_2020-01-12_final
2020-01-12 09:32:20	ga_ls7e_ard_3-1-0_095086_2020-01-12_final
2020-01-28 09:30:20	ga_ls7e_ard_3-1-0_095083_2020-01-28_final
2020-01-28 09:30:44	ga_ls7e_ard_3-1-0_095084_2020-01-28_final
2020-01-28 09:31:08	ga_ls7e_ard_3-1-0_095085_2020-01-28_final
2020-01-28 09:31:32	ga_ls7e_ard_3-1-0_095086_2020-01-28_final
2020-01-28 09:31:56	ga_ls7e_ard_3-1-0_095087_2020-01-28_final
2020-02-13 09:28:44	ga_ls7e_ard_3-1-0_095081_2020-02-12_final
2020-02-13 09:29:32	ga_ls7e_ard_3-1-0_095083_2020-02-12_final
2020-02-13 09:30:19	ga_ls7e_ard_3-1-0_095085_2020-02-13_final
2020-02-13 09:30:43	ga_ls7e_ard_3-1-0_095086_2020-02-13_final
2020-02-29 09:27:29	ga_ls7e_ard_3-1-0_095080_2020-02-28_final
2020-02-29 09:27:53	ga_ls7e_ard_3-1-0_095081_2020-02-28_final
2020-02-29 09:28:17	ga_ls7e_ard_3-1-0_095082_2020-02-28_final
2020-02-29 09:28:41	ga_ls7e_ard_3-1-0_095083_2020-02-28_final
2020-02-29 09:29:05	ga_ls7e_ard_3-1-0_095084_2020-02-28_final
2020-02-29 09:29:29	ga_ls7e_ard_3-1-0_095085_2020-02-28_final
2020-03-16 09:26:13	ga_ls7e_ard_3-1-0_095079_2020-03-15_final
2020-03-16 09:27:01	ga_ls7e_ard_3-1-0_095081_2020-03-15_final
2020-03-16 09:27:49	ga_ls7e_ard_3-1-0_095083_2020-03-15_final
2020-03-16 09:28:13	ga_ls7e_ard_3-1-0_095084_2020-03-15_final
2020-03-16 09:28:37	ga_ls7e_ard_3-1-0_095085_2020-03-15_final
2020-03-16 09:29:01	ga_ls7e_ard_3-1-0_095086_2020-03-15_final
2020-03-16 09:29:25	ga_ls7e_ard_3-1-0_095087_2020-03-15_final
2020-04-01 09:26:07	ga_ls7e_ard_3-1-0_095081_2020-03-31_final
2020-04-01 09:27:19	ga_ls7e_ard_3-1-0_095084_2020-03-31_final
2020-04-01 09:28:07	ga_ls7e_ard_3-1-0_095086_2020-03-31_final
2020-04-01 09:28:31	ga_ls7e_ard_3-1-0_095087_2020-03-31_final
2020-04-17 09:24:48	ga_ls7e_ard_3-1-0_095080_2020-04-16_final
2020-04-17 09:25:12	ga_ls7e_ard_3-1-0_095081_2020-04-16_final
2020-04-17 09:25:36	ga_ls7e_ard_3-1-0_095082_2020-04-16_final
2020-04-17 09:26:00	ga_ls7e_ard_3-1-0_095083_2020-04-16_final
2020-04-17 09:26:24	ga_ls7e_ard_3-1-0_095084_2020-04-16_final
2020-04-17 09:27:12	ga_ls7e_ard_3-1-0_095086_2020-04-16_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years