Search ga_ls7e_ard_3 across August 2013

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
2013-08-08 09:18:29	ga_ls7e_ard_3-0-0_091076_2013-08-07_final
2013-08-08 09:18:53	ga_ls7e_ard_3-0-0_091077_2013-08-07_final
2013-08-08 09:19:17	ga_ls7e_ard_3-0-0_091078_2013-08-07_final
2013-08-08 09:19:41	ga_ls7e_ard_3-0-0_091079_2013-08-07_final
2013-08-08 09:20:05	ga_ls7e_ard_3-0-0_091080_2013-08-07_final
2013-08-08 09:20:29	ga_ls7e_ard_3-0-0_091081_2013-08-07_final
2013-08-08 09:21:41	ga_ls7e_ard_3-0-0_091084_2013-08-07_final
2013-08-08 09:22:05	ga_ls7e_ard_3-0-0_091085_2013-08-07_final
2013-08-08 09:22:29	ga_ls7e_ard_3-1-0_091086_2013-08-07_final
2013-08-08 09:22:53	ga_ls7e_ard_3-0-0_091087_2013-08-07_final
2013-08-08 09:23:17	ga_ls7e_ard_3-0-0_091088_2013-08-07_final
2013-08-08 09:23:41	ga_ls7e_ard_3-0-0_091089_2013-08-07_final
2013-08-08 09:24:05	ga_ls7e_ard_3-0-0_091090_2013-08-07_final
2013-08-08 10:54:59	ga_ls7e_ard_3-0-0_107070_2013-08-08_final
2013-08-08 10:55:22	ga_ls7e_ard_3-0-0_107071_2013-08-08_final
2013-08-08 10:55:46	ga_ls7e_ard_3-0-0_107072_2013-08-08_final
2013-08-08 10:56:10	ga_ls7e_ard_3-0-0_107073_2013-08-08_final
2013-08-08 10:56:34	ga_ls7e_ard_3-0-0_107074_2013-08-08_final
2013-08-08 10:56:58	ga_ls7e_ard_3-0-0_107075_2013-08-08_final
2013-08-08 10:57:22	ga_ls7e_ard_3-0-0_107076_2013-08-08_final
2013-08-08 10:57:46	ga_ls7e_ard_3-0-0_107077_2013-08-08_final
2013-08-08 10:58:10	ga_ls7e_ard_3-0-0_107078_2013-08-08_final
2013-08-08 10:58:34	ga_ls7e_ard_3-0-0_107079_2013-08-08_final
2013-08-08 10:58:58	ga_ls7e_ard_3-0-0_107080_2013-08-08_final
2013-08-08 10:59:22	ga_ls7e_ard_3-0-0_107081_2013-08-08_final
2013-08-08 10:59:46	ga_ls7e_ard_3-0-0_107082_2013-08-08_final
2013-08-09 09:58:08	ga_ls7e_ard_3-0-0_098067_2013-08-09_final
2013-08-09 09:58:32	ga_ls7e_ard_3-0-0_098068_2013-08-09_final
2013-08-09 09:58:56	ga_ls7e_ard_3-0-0_098069_2013-08-09_final
2013-08-09 09:59:20	ga_ls7e_ard_3-0-0_098070_2013-08-09_final
2013-08-09 09:59:44	ga_ls7e_ard_3-0-0_098071_2013-08-09_final
2013-08-09 10:00:08	ga_ls7e_ard_3-0-0_098072_2013-08-09_final
2013-08-09 10:00:32	ga_ls7e_ard_3-0-0_098073_2013-08-09_final
2013-08-09 10:00:56	ga_ls7e_ard_3-0-0_098074_2013-08-09_final
2013-08-09 10:01:20	ga_ls7e_ard_3-0-0_098075_2013-08-09_final
2013-08-09 10:01:43	ga_ls7e_ard_3-0-0_098076_2013-08-09_final
2013-08-09 10:02:07	ga_ls7e_ard_3-0-0_098077_2013-08-09_final
2013-08-09 10:02:31	ga_ls7e_ard_3-0-0_098078_2013-08-09_final
2013-08-09 10:02:55	ga_ls7e_ard_3-0-0_098079_2013-08-09_final
2013-08-09 10:03:19	ga_ls7e_ard_3-0-0_098080_2013-08-09_final
2013-08-09 10:03:43	ga_ls7e_ard_3-0-0_098081_2013-08-09_final
2013-08-09 10:04:07	ga_ls7e_ard_3-0-0_098082_2013-08-09_final
2013-08-09 11:37:01	ga_ls7e_ard_3-0-0_114067_2013-08-09_final
2013-08-09 11:39:49	ga_ls7e_ard_3-0-0_114074_2013-08-09_final
2013-08-09 11:40:13	ga_ls7e_ard_3-0-0_114075_2013-08-09_final
2013-08-09 11:40:37	ga_ls7e_ard_3-0-0_114076_2013-08-09_final
2013-08-09 11:41:01	ga_ls7e_ard_3-0-0_114077_2013-08-09_final
2013-08-09 11:41:24	ga_ls7e_ard_3-0-0_114078_2013-08-09_final
2013-08-09 11:41:48	ga_ls7e_ard_3-0-0_114079_2013-08-09_final
2013-08-09 11:42:12	ga_ls7e_ard_3-0-0_114080_2013-08-09_final
2013-08-10 09:06:31	ga_ls7e_ard_3-0-0_089077_2013-08-09_final
2013-08-10 09:06:55	ga_ls7e_ard_3-0-0_089078_2013-08-09_final
2013-08-10 09:07:19	ga_ls7e_ard_3-0-0_089079_2013-08-09_final
2013-08-10 09:07:43	ga_ls7e_ard_3-0-0_089080_2013-08-09_final
2013-08-10 09:08:07	ga_ls7e_ard_3-1-0_089081_2013-08-09_final
2013-08-10 09:08:31	ga_ls7e_ard_3-0-0_089082_2013-08-09_final
2013-08-10 09:08:55	ga_ls7e_ard_3-0-0_089083_2013-08-09_final
2013-08-10 09:09:19	ga_ls7e_ard_3-0-0_089084_2013-08-09_final
2013-08-10 09:09:43	ga_ls7e_ard_3-0-0_089085_2013-08-09_final
2013-08-10 09:10:07	ga_ls7e_ard_3-0-0_089086_2013-08-09_final
2013-08-10 09:11:18	ga_ls7e_ard_3-0-0_089089_2013-08-09_final
2013-08-10 09:11:42	ga_ls7e_ard_3-0-0_089090_2013-08-09_final
2013-08-10 10:41:49	ga_ls7e_ard_3-0-0_105068_2013-08-10_final
2013-08-10 10:42:13	ga_ls7e_ard_3-0-0_105069_2013-08-10_final
2013-08-10 10:42:37	ga_ls7e_ard_3-0-0_105070_2013-08-10_final
2013-08-10 10:43:00	ga_ls7e_ard_3-0-0_105071_2013-08-10_final
2013-08-10 10:43:24	ga_ls7e_ard_3-0-0_105072_2013-08-10_final
2013-08-10 10:43:48	ga_ls7e_ard_3-0-0_105073_2013-08-10_final
2013-08-10 10:44:12	ga_ls7e_ard_3-0-0_105074_2013-08-10_final
2013-08-10 10:44:36	ga_ls7e_ard_3-0-0_105075_2013-08-10_final
2013-08-10 10:45:00	ga_ls7e_ard_3-0-0_105076_2013-08-10_final
2013-08-10 10:45:24	ga_ls7e_ard_3-0-0_105077_2013-08-10_final
2013-08-10 10:45:48	ga_ls7e_ard_3-0-0_105078_2013-08-10_final
2013-08-10 10:46:12	ga_ls7e_ard_3-0-0_105079_2013-08-10_final
2013-08-10 10:46:36	ga_ls7e_ard_3-1-0_105080_2013-08-10_final
2013-08-10 10:47:00	ga_ls7e_ard_3-0-0_105081_2013-08-10_final
2013-08-10 10:47:24	ga_ls7e_ard_3-0-0_105082_2013-08-10_final
2013-08-10 10:47:48	ga_ls7e_ard_3-1-0_105083_2013-08-10_final
2013-08-15 09:24:20	ga_ls7e_ard_3-0-0_092075_2013-08-14_final
2013-08-15 09:24:44	ga_ls7e_ard_3-0-0_092076_2013-08-14_final
2013-08-15 09:25:08	ga_ls7e_ard_3-0-0_092077_2013-08-14_final
2013-08-15 09:25:32	ga_ls7e_ard_3-0-0_092078_2013-08-14_final
2013-08-15 09:25:56	ga_ls7e_ard_3-0-0_092079_2013-08-14_final
2013-08-15 09:26:20	ga_ls7e_ard_3-0-0_092080_2013-08-14_final
2013-08-15 09:26:44	ga_ls7e_ard_3-0-0_092081_2013-08-14_final
2013-08-15 09:27:08	ga_ls7e_ard_3-0-0_092082_2013-08-14_final
2013-08-15 09:27:32	ga_ls7e_ard_3-0-0_092083_2013-08-14_final
2013-08-15 09:27:56	ga_ls7e_ard_3-0-0_092084_2013-08-14_final
2013-08-15 09:28:20	ga_ls7e_ard_3-0-0_092085_2013-08-14_final
2013-08-15 09:28:44	ga_ls7e_ard_3-0-0_092086_2013-08-14_final
2013-08-15 09:29:07	ga_ls7e_ard_3-0-0_092087_2013-08-14_final
2013-08-17 09:12:48	ga_ls7e_ard_3-0-0_090077_2013-08-16_final
2013-08-17 09:13:12	ga_ls7e_ard_3-0-0_090078_2013-08-16_final
2013-08-17 09:13:36	ga_ls7e_ard_3-0-0_090079_2013-08-16_final
2013-08-17 09:14:00	ga_ls7e_ard_3-0-0_090080_2013-08-16_final
2013-08-17 09:15:12	ga_ls7e_ard_3-0-0_090083_2013-08-16_final
2013-08-17 09:15:36	ga_ls7e_ard_3-0-0_090084_2013-08-16_final
2013-08-17 09:16:00	ga_ls7e_ard_3-0-0_090085_2013-08-16_final
2013-08-17 09:16:24	ga_ls7e_ard_3-0-0_090086_2013-08-16_final
2013-08-17 09:17:35	ga_ls7e_ard_3-0-0_090089_2013-08-16_final

Return to ga_ls7e_ard_3 across August 2013 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

2013

August

All days