Search ga_ls7e_ard_3 across August 2017

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
2017-08-01 09:37:29	ga_ls7e_ard_3-0-0_093074_2017-08-01_final
2017-08-01 09:37:53	ga_ls7e_ard_3-0-0_093075_2017-08-01_final
2017-08-01 09:38:17	ga_ls7e_ard_3-0-0_093076_2017-08-01_final
2017-08-03 09:25:55	ga_ls7e_ard_3-0-0_091076_2017-08-02_final
2017-08-03 09:26:19	ga_ls7e_ard_3-0-0_091077_2017-08-02_final
2017-08-03 09:26:43	ga_ls7e_ard_3-0-0_091078_2017-08-02_final
2017-08-03 09:27:06	ga_ls7e_ard_3-0-0_091079_2017-08-02_final
2017-08-03 09:27:30	ga_ls7e_ard_3-0-0_091080_2017-08-02_final
2017-08-03 09:27:54	ga_ls7e_ard_3-0-0_091081_2017-08-02_final
2017-08-03 09:28:18	ga_ls7e_ard_3-0-0_091082_2017-08-02_final
2017-08-03 09:28:42	ga_ls7e_ard_3-0-0_091083_2017-08-02_final
2017-08-03 09:29:06	ga_ls7e_ard_3-0-0_091084_2017-08-02_final
2017-08-03 09:29:30	ga_ls7e_ard_3-0-0_091085_2017-08-02_final
2017-08-23 10:36:52	ga_ls7e_ard_3-0-0_103068_2017-08-23_final
2017-08-23 10:37:16	ga_ls7e_ard_3-0-0_103069_2017-08-23_final
2017-08-23 10:37:40	ga_ls7e_ard_3-0-0_103070_2017-08-23_final
2017-08-23 10:38:03	ga_ls7e_ard_3-0-0_103071_2017-08-23_final
2017-08-23 10:38:27	ga_ls7e_ard_3-0-0_103072_2017-08-23_final
2017-08-23 10:38:51	ga_ls7e_ard_3-0-0_103073_2017-08-23_final
2017-08-23 10:39:15	ga_ls7e_ard_3-0-0_103074_2017-08-23_final
2017-08-23 10:39:39	ga_ls7e_ard_3-0-0_103075_2017-08-23_final
2017-08-23 10:40:03	ga_ls7e_ard_3-0-0_103076_2017-08-23_final
2017-08-23 10:40:27	ga_ls7e_ard_3-0-0_103077_2017-08-23_final
2017-08-23 10:40:51	ga_ls7e_ard_3-0-0_103078_2017-08-23_final
2017-08-23 10:41:15	ga_ls7e_ard_3-0-0_103079_2017-08-23_final
2017-08-23 10:41:39	ga_ls7e_ard_3-0-0_103080_2017-08-23_final
2017-08-23 10:42:03	ga_ls7e_ard_3-0-0_103081_2017-08-23_final
2017-08-23 10:42:27	ga_ls7e_ard_3-0-0_103082_2017-08-23_final
2017-08-24 09:40:50	ga_ls7e_ard_3-1-0_094067_2017-08-24_final
2017-08-24 09:43:14	ga_ls7e_ard_3-0-0_094073_2017-08-24_final
2017-08-24 09:43:38	ga_ls7e_ard_3-0-0_094074_2017-08-24_final
2017-08-24 09:44:02	ga_ls7e_ard_3-0-0_094075_2017-08-24_final
2017-08-24 09:44:26	ga_ls7e_ard_3-0-0_094076_2017-08-24_final
2017-08-24 09:44:50	ga_ls7e_ard_3-0-0_094077_2017-08-24_final
2017-08-24 09:45:14	ga_ls7e_ard_3-0-0_094078_2017-08-24_final
2017-08-24 09:45:38	ga_ls7e_ard_3-0-0_094079_2017-08-24_final
2017-08-24 09:46:02	ga_ls7e_ard_3-0-0_094080_2017-08-24_final
2017-08-24 09:46:26	ga_ls7e_ard_3-0-0_094081_2017-08-24_final
2017-08-24 09:46:50	ga_ls7e_ard_3-0-0_094082_2017-08-24_final
2017-08-24 09:47:13	ga_ls7e_ard_3-1-0_094083_2017-08-24_final
2017-08-24 09:47:37	ga_ls7e_ard_3-0-0_094084_2017-08-24_final
2017-08-24 09:48:01	ga_ls7e_ard_3-0-0_094085_2017-08-24_final
2017-08-24 09:48:25	ga_ls7e_ard_3-0-0_094086_2017-08-24_final
2017-08-24 09:48:49	ga_ls7e_ard_3-0-0_094087_2017-08-24_final
2017-08-24 11:19:43	ga_ls7e_ard_3-0-0_110067_2017-08-24_final
2017-08-24 11:20:55	ga_ls7e_ard_3-0-0_110070_2017-08-24_final
2017-08-24 11:21:19	ga_ls7e_ard_3-0-0_110071_2017-08-24_final
2017-08-24 11:21:43	ga_ls7e_ard_3-1-0_110072_2017-08-24_final
2017-08-24 11:22:07	ga_ls7e_ard_3-0-0_110073_2017-08-24_final
2017-08-24 11:22:31	ga_ls7e_ard_3-0-0_110074_2017-08-24_final
2017-08-24 11:22:55	ga_ls7e_ard_3-0-0_110075_2017-08-24_final
2017-08-24 11:23:19	ga_ls7e_ard_3-0-0_110076_2017-08-24_final
2017-08-24 11:23:43	ga_ls7e_ard_3-0-0_110077_2017-08-24_final
2017-08-24 11:24:07	ga_ls7e_ard_3-0-0_110078_2017-08-24_final
2017-08-24 11:25:19	ga_ls7e_ard_3-0-0_110081_2017-08-24_final
2017-08-24 11:25:43	ga_ls7e_ard_3-0-0_110082_2017-08-24_final
2017-08-24 11:26:07	ga_ls7e_ard_3-0-0_110083_2017-08-24_final
2017-08-24 11:26:30	ga_ls7e_ard_3-0-0_110084_2017-08-24_final
2017-08-25 10:25:42	ga_ls7e_ard_3-0-0_101071_2017-08-25_final
2017-08-25 10:26:06	ga_ls7e_ard_3-0-0_101072_2017-08-25_final
2017-08-25 10:26:30	ga_ls7e_ard_3-0-0_101073_2017-08-25_final
2017-08-25 10:26:54	ga_ls7e_ard_3-0-0_101074_2017-08-25_final
2017-08-25 10:27:18	ga_ls7e_ard_3-1-0_101075_2017-08-25_final
2017-08-25 10:27:42	ga_ls7e_ard_3-0-0_101076_2017-08-25_final
2017-08-25 10:28:06	ga_ls7e_ard_3-0-0_101077_2017-08-25_final
2017-08-25 10:28:29	ga_ls7e_ard_3-0-0_101078_2017-08-25_final
2017-08-25 10:28:53	ga_ls7e_ard_3-0-0_101079_2017-08-25_final
2017-08-25 10:29:17	ga_ls7e_ard_3-0-0_101080_2017-08-25_final
2017-08-25 10:29:41	ga_ls7e_ard_3-0-0_101081_2017-08-25_final
2017-08-25 10:30:05	ga_ls7e_ard_3-0-0_101082_2017-08-25_final
2017-08-25 10:30:29	ga_ls7e_ard_3-0-0_101083_2017-08-25_final
2017-08-26 09:31:40	ga_ls7e_ard_3-0-0_092075_2017-08-26_final
2017-08-26 09:32:04	ga_ls7e_ard_3-0-0_092076_2017-08-26_final
2017-08-26 09:32:28	ga_ls7e_ard_3-0-0_092077_2017-08-26_final
2017-08-26 09:32:52	ga_ls7e_ard_3-0-0_092078_2017-08-26_final
2017-08-26 09:33:16	ga_ls7e_ard_3-0-0_092079_2017-08-26_final
2017-08-26 09:33:40	ga_ls7e_ard_3-0-0_092080_2017-08-26_final
2017-08-26 09:34:04	ga_ls7e_ard_3-0-0_092081_2017-08-26_final
2017-08-26 09:34:28	ga_ls7e_ard_3-0-0_092082_2017-08-26_final
2017-08-26 09:34:52	ga_ls7e_ard_3-0-0_092083_2017-08-26_final
2017-08-26 09:35:16	ga_ls7e_ard_3-0-0_092084_2017-08-26_final
2017-08-26 09:35:40	ga_ls7e_ard_3-0-0_092085_2017-08-26_final
2017-08-26 09:36:04	ga_ls7e_ard_3-0-0_092086_2017-08-26_final
2017-08-26 09:36:28	ga_ls7e_ard_3-0-0_092087_2017-08-26_final
2017-08-26 09:36:52	ga_ls7e_ard_3-0-0_092088_2017-08-26_final
2017-08-26 11:08:10	ga_ls7e_ard_3-0-0_108069_2017-08-26_final
2017-08-26 11:08:34	ga_ls7e_ard_3-0-0_108070_2017-08-26_final
2017-08-26 11:08:58	ga_ls7e_ard_3-0-0_108071_2017-08-26_final
2017-08-26 11:09:22	ga_ls7e_ard_3-0-0_108072_2017-08-26_final
2017-08-26 11:09:45	ga_ls7e_ard_3-0-0_108073_2017-08-26_final
2017-08-26 11:10:09	ga_ls7e_ard_3-0-0_108074_2017-08-26_final
2017-08-26 11:10:33	ga_ls7e_ard_3-1-0_108075_2017-08-26_final
2017-08-26 11:10:57	ga_ls7e_ard_3-0-0_108076_2017-08-26_final
2017-08-26 11:11:21	ga_ls7e_ard_3-0-0_108077_2017-08-26_final
2017-08-26 11:11:45	ga_ls7e_ard_3-0-0_108078_2017-08-26_final
2017-08-26 11:12:09	ga_ls7e_ard_3-0-0_108079_2017-08-26_final
2017-08-26 11:12:33	ga_ls7e_ard_3-0-0_108080_2017-08-26_final
2017-08-26 11:12:57	ga_ls7e_ard_3-0-0_108081_2017-08-26_final
2017-08-26 11:13:21	ga_ls7e_ard_3-1-0_108082_2017-08-26_final
2017-08-26 11:13:45	ga_ls7e_ard_3-0-0_108083_2017-08-26_final

Return to ga_ls7e_ard_3 across August 2017 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

2017

August

All days