Search ga_ls7e_ard_3 across August 2014

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
2014-08-02 09:26:42	ga_ls7e_ard_3-0-0_092075_2014-08-01_final
2014-08-02 09:27:06	ga_ls7e_ard_3-0-0_092076_2014-08-01_final
2014-08-02 09:27:30	ga_ls7e_ard_3-0-0_092077_2014-08-01_final
2014-08-02 09:27:54	ga_ls7e_ard_3-0-0_092078_2014-08-01_final
2014-08-02 09:28:18	ga_ls7e_ard_3-0-0_092079_2014-08-01_final
2014-08-02 09:28:42	ga_ls7e_ard_3-0-0_092080_2014-08-01_final
2014-08-02 09:29:06	ga_ls7e_ard_3-0-0_092081_2014-08-01_final
2014-08-02 09:29:30	ga_ls7e_ard_3-0-0_092082_2014-08-01_final
2014-08-02 09:29:54	ga_ls7e_ard_3-1-0_092083_2014-08-01_final
2014-08-02 09:30:18	ga_ls7e_ard_3-0-0_092084_2014-08-02_final
2014-08-02 09:30:42	ga_ls7e_ard_3-0-0_092085_2014-08-02_final
2014-08-02 09:31:05	ga_ls7e_ard_3-0-0_092086_2014-08-02_final
2014-08-02 09:31:29	ga_ls7e_ard_3-0-0_092087_2014-08-02_final
2014-08-02 09:31:53	ga_ls7e_ard_3-0-0_092088_2014-08-02_final
2014-08-02 09:32:17	ga_ls7e_ard_3-0-0_092089_2014-08-02_final
2014-08-24 10:25:41	ga_ls7e_ard_3-0-0_102068_2014-08-24_final
2014-08-24 10:26:05	ga_ls7e_ard_3-0-0_102069_2014-08-24_final
2014-08-24 10:26:29	ga_ls7e_ard_3-0-0_102070_2014-08-24_final
2014-08-24 10:26:53	ga_ls7e_ard_3-0-0_102071_2014-08-24_final
2014-08-24 10:27:17	ga_ls7e_ard_3-0-0_102072_2014-08-24_final
2014-08-24 10:27:41	ga_ls7e_ard_3-0-0_102073_2014-08-24_final
2014-08-24 10:28:05	ga_ls7e_ard_3-0-0_102074_2014-08-24_final
2014-08-24 10:28:29	ga_ls7e_ard_3-0-0_102075_2014-08-24_final
2014-08-24 10:28:53	ga_ls7e_ard_3-0-0_102076_2014-08-24_final
2014-08-24 10:29:17	ga_ls7e_ard_3-0-0_102077_2014-08-24_final
2014-08-24 10:29:41	ga_ls7e_ard_3-0-0_102078_2014-08-24_final
2014-08-24 10:30:05	ga_ls7e_ard_3-0-0_102079_2014-08-24_final
2014-08-24 10:30:28	ga_ls7e_ard_3-0-0_102080_2014-08-24_final
2014-08-24 10:30:52	ga_ls7e_ard_3-0-0_102081_2014-08-24_final
2014-08-24 10:31:16	ga_ls7e_ard_3-0-0_102082_2014-08-24_final
2014-08-25 09:32:27	ga_ls7e_ard_3-0-0_093074_2014-08-25_final
2014-08-25 09:32:51	ga_ls7e_ard_3-0-0_093075_2014-08-25_final
2014-08-25 09:33:15	ga_ls7e_ard_3-0-0_093076_2014-08-25_final
2014-08-25 09:33:39	ga_ls7e_ard_3-0-0_093077_2014-08-25_final
2014-08-25 09:34:03	ga_ls7e_ard_3-0-0_093078_2014-08-25_final
2014-08-25 09:34:27	ga_ls7e_ard_3-0-0_093079_2014-08-25_final
2014-08-25 09:34:51	ga_ls7e_ard_3-0-0_093080_2014-08-25_final
2014-08-25 09:35:15	ga_ls7e_ard_3-0-0_093081_2014-08-25_final
2014-08-25 09:35:39	ga_ls7e_ard_3-0-0_093082_2014-08-25_final
2014-08-25 09:36:03	ga_ls7e_ard_3-1-0_093083_2014-08-25_final
2014-08-25 09:36:27	ga_ls7e_ard_3-0-0_093084_2014-08-25_final
2014-08-25 09:36:51	ga_ls7e_ard_3-0-0_093085_2014-08-25_final
2014-08-25 09:38:02	ga_ls7e_ard_3-0-0_093088_2014-08-25_final
2014-08-25 11:09:44	ga_ls7e_ard_3-0-0_109070_2014-08-25_final
2014-08-25 11:10:08	ga_ls7e_ard_3-0-0_109071_2014-08-25_final
2014-08-25 11:10:32	ga_ls7e_ard_3-0-0_109072_2014-08-25_final
2014-08-25 11:10:56	ga_ls7e_ard_3-0-0_109073_2014-08-25_final
2014-08-25 11:11:20	ga_ls7e_ard_3-0-0_109074_2014-08-25_final
2014-08-25 11:11:44	ga_ls7e_ard_3-0-0_109075_2014-08-25_final
2014-08-25 11:12:08	ga_ls7e_ard_3-0-0_109076_2014-08-25_final
2014-08-25 11:12:32	ga_ls7e_ard_3-0-0_109077_2014-08-25_final
2014-08-25 11:12:56	ga_ls7e_ard_3-0-0_109078_2014-08-25_final
2014-08-25 11:13:20	ga_ls7e_ard_3-0-0_109079_2014-08-25_final
2014-08-25 11:13:44	ga_ls7e_ard_3-0-0_109080_2014-08-25_final
2014-08-25 11:14:08	ga_ls7e_ard_3-1-0_109081_2014-08-25_final
2014-08-25 11:14:32	ga_ls7e_ard_3-0-0_109082_2014-08-25_final
2014-08-25 11:14:56	ga_ls7e_ard_3-0-0_109083_2014-08-25_final
2014-08-25 11:15:20	ga_ls7e_ard_3-0-0_109084_2014-08-25_final
2014-08-26 10:14:31	ga_ls7e_ard_3-0-0_100071_2014-08-26_final
2014-08-26 10:14:55	ga_ls7e_ard_3-0-0_100072_2014-08-26_final
2014-08-26 10:15:19	ga_ls7e_ard_3-0-0_100073_2014-08-26_final
2014-08-26 10:15:43	ga_ls7e_ard_3-0-0_100074_2014-08-26_final
2014-08-26 10:16:06	ga_ls7e_ard_3-0-0_100075_2014-08-26_final
2014-08-26 10:16:30	ga_ls7e_ard_3-0-0_100076_2014-08-26_final
2014-08-26 10:16:54	ga_ls7e_ard_3-0-0_100077_2014-08-26_final
2014-08-26 10:17:18	ga_ls7e_ard_3-0-0_100078_2014-08-26_final
2014-08-26 10:17:42	ga_ls7e_ard_3-0-0_100079_2014-08-26_final
2014-08-26 10:18:06	ga_ls7e_ard_3-0-0_100080_2014-08-26_final
2014-08-26 10:18:30	ga_ls7e_ard_3-0-0_100081_2014-08-26_final
2014-08-26 10:18:54	ga_ls7e_ard_3-0-0_100082_2014-08-26_final
2014-08-26 10:19:18	ga_ls7e_ard_3-0-0_100083_2014-08-26_final
2014-08-26 10:19:42	ga_ls7e_ard_3-0-0_100084_2014-08-26_final
2014-08-27 09:20:53	ga_ls7e_ard_3-0-0_091076_2014-08-26_final
2014-08-27 09:21:17	ga_ls7e_ard_3-0-0_091077_2014-08-26_final
2014-08-27 09:21:41	ga_ls7e_ard_3-0-0_091078_2014-08-26_final
2014-08-27 09:22:05	ga_ls7e_ard_3-0-0_091079_2014-08-26_final
2014-08-27 09:22:29	ga_ls7e_ard_3-0-0_091080_2014-08-26_final
2014-08-27 09:23:17	ga_ls7e_ard_3-0-0_091082_2014-08-26_final
2014-08-27 09:23:41	ga_ls7e_ard_3-0-0_091083_2014-08-26_final
2014-08-27 09:24:05	ga_ls7e_ard_3-0-0_091084_2014-08-26_final
2014-08-27 09:24:28	ga_ls7e_ard_3-0-0_091085_2014-08-26_final
2014-08-27 09:24:52	ga_ls7e_ard_3-1-0_091086_2014-08-26_final
2014-08-27 09:25:16	ga_ls7e_ard_3-0-0_091087_2014-08-26_final
2014-08-27 09:25:40	ga_ls7e_ard_3-0-0_091088_2014-08-26_final
2014-08-27 09:26:04	ga_ls7e_ard_3-0-0_091089_2014-08-26_final
2014-08-27 09:26:28	ga_ls7e_ard_3-0-0_091090_2014-08-26_final
2014-08-27 10:57:22	ga_ls7e_ard_3-0-0_107070_2014-08-27_final
2014-08-27 10:57:46	ga_ls7e_ard_3-0-0_107071_2014-08-27_final
2014-08-27 10:58:10	ga_ls7e_ard_3-0-0_107072_2014-08-27_final
2014-08-27 10:58:34	ga_ls7e_ard_3-0-0_107073_2014-08-27_final
2014-08-27 10:58:58	ga_ls7e_ard_3-0-0_107074_2014-08-27_final
2014-08-27 10:59:22	ga_ls7e_ard_3-0-0_107075_2014-08-27_final
2014-08-27 10:59:46	ga_ls7e_ard_3-0-0_107076_2014-08-27_final
2014-08-27 11:00:10	ga_ls7e_ard_3-0-0_107077_2014-08-27_final
2014-08-27 11:00:34	ga_ls7e_ard_3-0-0_107078_2014-08-27_final
2014-08-27 11:00:58	ga_ls7e_ard_3-0-0_107079_2014-08-27_final
2014-08-27 11:01:22	ga_ls7e_ard_3-0-0_107080_2014-08-27_final
2014-08-27 11:01:46	ga_ls7e_ard_3-0-0_107081_2014-08-27_final
2014-08-27 11:02:10	ga_ls7e_ard_3-0-0_107082_2014-08-27_final
2014-08-27 11:02:34	ga_ls7e_ard_3-0-0_107083_2014-08-27_final

Return to ga_ls7e_ard_3 across August 2014 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

2014

August

All days