Search ga_ls7e_ard_3 across July 2015

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
2015-07-04 09:28:44	ga_ls7e_ard_3-0-0_092075_2015-07-03_final
2015-07-04 09:29:08	ga_ls7e_ard_3-0-0_092076_2015-07-03_final
2015-07-04 09:29:32	ga_ls7e_ard_3-0-0_092077_2015-07-03_final
2015-07-04 09:29:55	ga_ls7e_ard_3-1-0_092078_2015-07-03_final
2015-07-04 09:30:19	ga_ls7e_ard_3-0-0_092079_2015-07-04_final
2015-07-04 09:30:43	ga_ls7e_ard_3-0-0_092080_2015-07-04_final
2015-07-04 09:31:07	ga_ls7e_ard_3-0-0_092081_2015-07-04_final
2015-07-04 09:31:31	ga_ls7e_ard_3-0-0_092082_2015-07-04_final
2015-07-04 09:31:55	ga_ls7e_ard_3-0-0_092083_2015-07-04_final
2015-07-04 09:32:19	ga_ls7e_ard_3-0-0_092084_2015-07-04_final
2015-07-04 09:32:43	ga_ls7e_ard_3-0-0_092085_2015-07-04_final
2015-07-04 09:33:07	ga_ls7e_ard_3-0-0_092086_2015-07-04_final
2015-07-05 10:08:48	ga_ls7e_ard_3-0-0_099067_2015-07-05_final
2015-07-06 09:17:11	ga_ls7e_ard_3-0-0_090077_2015-07-05_final
2015-07-06 09:17:35	ga_ls7e_ard_3-0-0_090078_2015-07-05_final
2015-07-06 09:17:59	ga_ls7e_ard_3-0-0_090079_2015-07-05_final
2015-07-06 09:18:23	ga_ls7e_ard_3-0-0_090080_2015-07-05_final
2015-07-06 09:18:47	ga_ls7e_ard_3-0-0_090081_2015-07-05_final
2015-07-06 09:19:11	ga_ls7e_ard_3-0-0_090082_2015-07-05_final
2015-07-06 09:19:35	ga_ls7e_ard_3-0-0_090083_2015-07-05_final
2015-07-06 09:19:59	ga_ls7e_ard_3-0-0_090084_2015-07-05_final
2015-07-06 09:20:23	ga_ls7e_ard_3-1-0_090085_2015-07-05_final
2015-07-06 09:20:47	ga_ls7e_ard_3-0-0_090086_2015-07-05_final
2015-07-28 10:16:39	ga_ls7e_ard_3-0-0_100071_2015-07-28_final
2015-07-28 10:17:03	ga_ls7e_ard_3-0-0_100072_2015-07-28_final
2015-07-28 10:17:27	ga_ls7e_ard_3-0-0_100073_2015-07-28_final
2015-07-28 10:17:51	ga_ls7e_ard_3-0-0_100074_2015-07-28_final
2015-07-28 10:18:15	ga_ls7e_ard_3-0-0_100075_2015-07-28_final
2015-07-28 10:18:39	ga_ls7e_ard_3-0-0_100076_2015-07-28_final
2015-07-28 10:19:03	ga_ls7e_ard_3-0-0_100077_2015-07-28_final
2015-07-28 10:19:27	ga_ls7e_ard_3-0-0_100078_2015-07-28_final
2015-07-28 10:19:51	ga_ls7e_ard_3-0-0_100079_2015-07-28_final
2015-07-28 10:20:15	ga_ls7e_ard_3-0-0_100080_2015-07-28_final
2015-07-28 10:20:39	ga_ls7e_ard_3-0-0_100081_2015-07-28_final
2015-07-28 10:21:03	ga_ls7e_ard_3-0-0_100082_2015-07-28_final
2015-07-28 10:21:27	ga_ls7e_ard_3-0-0_100083_2015-07-28_final
2015-07-28 10:21:51	ga_ls7e_ard_3-0-0_100084_2015-07-28_final
2015-07-29 09:23:02	ga_ls7e_ard_3-0-0_091076_2015-07-28_final
2015-07-29 09:23:26	ga_ls7e_ard_3-0-0_091077_2015-07-28_final
2015-07-29 09:23:50	ga_ls7e_ard_3-0-0_091078_2015-07-28_final
2015-07-29 09:24:14	ga_ls7e_ard_3-0-0_091079_2015-07-28_final
2015-07-29 09:24:38	ga_ls7e_ard_3-0-0_091080_2015-07-28_final
2015-07-29 09:25:02	ga_ls7e_ard_3-0-0_091081_2015-07-28_final
2015-07-29 09:25:26	ga_ls7e_ard_3-0-0_091082_2015-07-28_final
2015-07-29 09:25:50	ga_ls7e_ard_3-0-0_091083_2015-07-28_final
2015-07-29 09:26:14	ga_ls7e_ard_3-0-0_091084_2015-07-28_final
2015-07-29 09:26:38	ga_ls7e_ard_3-0-0_091085_2015-07-28_final
2015-07-29 09:27:01	ga_ls7e_ard_3-1-0_091086_2015-07-28_final
2015-07-29 09:27:25	ga_ls7e_ard_3-0-0_091087_2015-07-28_final
2015-07-29 09:27:49	ga_ls7e_ard_3-0-0_091088_2015-07-28_final
2015-07-29 09:28:37	ga_ls7e_ard_3-0-0_091090_2015-07-28_final
2015-07-29 10:59:31	ga_ls7e_ard_3-0-0_107070_2015-07-29_final
2015-07-29 10:59:55	ga_ls7e_ard_3-0-0_107071_2015-07-29_final
2015-07-29 11:00:19	ga_ls7e_ard_3-0-0_107072_2015-07-29_final
2015-07-29 11:00:43	ga_ls7e_ard_3-0-0_107073_2015-07-29_final
2015-07-29 11:01:07	ga_ls7e_ard_3-0-0_107074_2015-07-29_final
2015-07-29 11:01:31	ga_ls7e_ard_3-0-0_107075_2015-07-29_final
2015-07-29 11:01:55	ga_ls7e_ard_3-0-0_107076_2015-07-29_final
2015-07-29 11:02:19	ga_ls7e_ard_3-0-0_107077_2015-07-29_final
2015-07-29 11:02:43	ga_ls7e_ard_3-0-0_107078_2015-07-29_final
2015-07-29 11:03:07	ga_ls7e_ard_3-0-0_107079_2015-07-29_final
2015-07-29 11:03:31	ga_ls7e_ard_3-0-0_107080_2015-07-29_final
2015-07-29 11:03:55	ga_ls7e_ard_3-0-0_107081_2015-07-29_final
2015-07-29 11:04:19	ga_ls7e_ard_3-0-0_107082_2015-07-29_final
2015-07-29 11:04:43	ga_ls7e_ard_3-0-0_107083_2015-07-29_final
2015-07-29 11:05:07	ga_ls7e_ard_3-0-0_107084_2015-07-29_final
2015-07-30 10:02:43	ga_ls7e_ard_3-0-0_098067_2015-07-30_final
2015-07-30 10:03:07	ga_ls7e_ard_3-0-0_098068_2015-07-30_final
2015-07-30 10:03:31	ga_ls7e_ard_3-0-0_098069_2015-07-30_final
2015-07-30 10:03:55	ga_ls7e_ard_3-0-0_098070_2015-07-30_final
2015-07-30 10:04:18	ga_ls7e_ard_3-0-0_098071_2015-07-30_final
2015-07-30 10:04:42	ga_ls7e_ard_3-0-0_098072_2015-07-30_final
2015-07-30 10:05:06	ga_ls7e_ard_3-0-0_098073_2015-07-30_final
2015-07-30 10:05:30	ga_ls7e_ard_3-0-0_098074_2015-07-30_final
2015-07-30 10:05:54	ga_ls7e_ard_3-0-0_098075_2015-07-30_final
2015-07-30 10:06:18	ga_ls7e_ard_3-0-0_098076_2015-07-30_final
2015-07-30 10:06:42	ga_ls7e_ard_3-0-0_098077_2015-07-30_final
2015-07-30 10:07:06	ga_ls7e_ard_3-0-0_098078_2015-07-30_final
2015-07-30 10:07:30	ga_ls7e_ard_3-0-0_098079_2015-07-30_final
2015-07-30 10:07:54	ga_ls7e_ard_3-0-0_098080_2015-07-30_final
2015-07-30 10:08:18	ga_ls7e_ard_3-0-0_098081_2015-07-30_final
2015-07-30 10:08:42	ga_ls7e_ard_3-0-0_098082_2015-07-30_final
2015-07-30 10:09:06	ga_ls7e_ard_3-0-0_098083_2015-07-30_final
2015-07-30 10:09:30	ga_ls7e_ard_3-0-0_098084_2015-07-30_final
2015-07-30 11:41:36	ga_ls7e_ard_3-0-0_114067_2015-07-30_final
2015-07-30 11:44:23	ga_ls7e_ard_3-0-0_114074_2015-07-30_final
2015-07-30 11:44:47	ga_ls7e_ard_3-0-0_114075_2015-07-30_final
2015-07-30 11:45:11	ga_ls7e_ard_3-0-0_114076_2015-07-30_final
2015-07-30 11:45:35	ga_ls7e_ard_3-0-0_114077_2015-07-30_final
2015-07-30 11:45:59	ga_ls7e_ard_3-0-0_114078_2015-07-30_final
2015-07-30 11:46:23	ga_ls7e_ard_3-0-0_114079_2015-07-30_final
2015-07-31 09:11:05	ga_ls7e_ard_3-0-0_089077_2015-07-30_final
2015-07-31 09:11:29	ga_ls7e_ard_3-0-0_089078_2015-07-30_final
2015-07-31 09:11:53	ga_ls7e_ard_3-0-0_089079_2015-07-30_final
2015-07-31 09:12:17	ga_ls7e_ard_3-0-0_089080_2015-07-30_final
2015-07-31 09:12:41	ga_ls7e_ard_3-1-0_089081_2015-07-30_final
2015-07-31 09:13:05	ga_ls7e_ard_3-0-0_089082_2015-07-30_final
2015-07-31 09:13:29	ga_ls7e_ard_3-0-0_089083_2015-07-30_final
2015-07-31 09:13:53	ga_ls7e_ard_3-0-0_089084_2015-07-30_final
2015-07-31 09:14:17	ga_ls7e_ard_3-0-0_089085_2015-07-30_final

Return to ga_ls7e_ard_3 across July 2015 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

2015

July

All days