Search ga_ls7e_ard_3 across February 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
2015-02-24 09:39:26	ga_ls7e_ard_3-0-0_094073_2015-02-24_final
2015-02-24 09:39:50	ga_ls7e_ard_3-0-0_094074_2015-02-24_final
2015-02-24 09:40:14	ga_ls7e_ard_3-0-0_094075_2015-02-24_final
2015-02-24 09:40:38	ga_ls7e_ard_3-0-0_094076_2015-02-24_final
2015-02-24 09:41:02	ga_ls7e_ard_3-0-0_094077_2015-02-24_final
2015-02-24 09:41:26	ga_ls7e_ard_3-0-0_094078_2015-02-24_final
2015-02-24 09:41:50	ga_ls7e_ard_3-0-0_094079_2015-02-24_final
2015-02-24 09:42:14	ga_ls7e_ard_3-0-0_094080_2015-02-24_final
2015-02-24 09:42:38	ga_ls7e_ard_3-0-0_094081_2015-02-24_final
2015-02-24 09:43:02	ga_ls7e_ard_3-0-0_094082_2015-02-24_final
2015-02-24 09:43:26	ga_ls7e_ard_3-0-0_094083_2015-02-24_final
2015-02-24 09:43:50	ga_ls7e_ard_3-0-0_094084_2015-02-24_final
2015-02-24 09:44:14	ga_ls7e_ard_3-0-0_094085_2015-02-24_final
2015-02-24 09:44:38	ga_ls7e_ard_3-0-0_094086_2015-02-24_final
2015-02-24 11:15:56	ga_ls7e_ard_3-0-0_110067_2015-02-24_final
2015-02-24 11:18:19	ga_ls7e_ard_3-0-0_110073_2015-02-24_final
2015-02-24 11:18:43	ga_ls7e_ard_3-0-0_110074_2015-02-24_final
2015-02-24 11:20:19	ga_ls7e_ard_3-0-0_110078_2015-02-24_final
2015-02-24 11:20:43	ga_ls7e_ard_3-0-0_110079_2015-02-24_final
2015-02-24 11:21:07	ga_ls7e_ard_3-0-0_110080_2015-02-24_final
2015-02-24 11:21:31	ga_ls7e_ard_3-0-0_110081_2015-02-24_final
2015-02-24 11:21:55	ga_ls7e_ard_3-0-0_110082_2015-02-24_final
2015-02-24 11:22:19	ga_ls7e_ard_3-1-0_110083_2015-02-24_final
2015-02-24 11:22:43	ga_ls7e_ard_3-0-0_110084_2015-02-24_final
2015-02-25 10:21:55	ga_ls7e_ard_3-0-0_101071_2015-02-25_final
2015-02-25 10:22:19	ga_ls7e_ard_3-0-0_101072_2015-02-25_final
2015-02-25 10:22:43	ga_ls7e_ard_3-0-0_101073_2015-02-25_final
2015-02-25 10:23:07	ga_ls7e_ard_3-0-0_101074_2015-02-25_final
2015-02-25 10:23:30	ga_ls7e_ard_3-1-0_101075_2015-02-25_final
2015-02-25 10:23:54	ga_ls7e_ard_3-0-0_101076_2015-02-25_final
2015-02-25 10:24:18	ga_ls7e_ard_3-0-0_101077_2015-02-25_final
2015-02-25 10:24:42	ga_ls7e_ard_3-0-0_101078_2015-02-25_final
2015-02-25 10:25:06	ga_ls7e_ard_3-0-0_101079_2015-02-25_final
2015-02-25 10:25:30	ga_ls7e_ard_3-0-0_101080_2015-02-25_final
2015-02-25 10:25:54	ga_ls7e_ard_3-0-0_101081_2015-02-25_final
2015-02-25 10:26:18	ga_ls7e_ard_3-0-0_101082_2015-02-25_final
2015-02-25 10:26:42	ga_ls7e_ard_3-0-0_101083_2015-02-25_final
2015-02-26 09:27:54	ga_ls7e_ard_3-0-0_092075_2015-02-25_final
2015-02-26 09:28:18	ga_ls7e_ard_3-0-0_092076_2015-02-25_final
2015-02-26 09:28:42	ga_ls7e_ard_3-0-0_092077_2015-02-25_final
2015-02-26 09:29:06	ga_ls7e_ard_3-0-0_092078_2015-02-25_final
2015-02-26 09:29:29	ga_ls7e_ard_3-0-0_092079_2015-02-25_final
2015-02-26 09:29:53	ga_ls7e_ard_3-1-0_092080_2015-02-25_final
2015-02-26 09:30:17	ga_ls7e_ard_3-0-0_092081_2015-02-26_final
2015-02-26 09:30:41	ga_ls7e_ard_3-0-0_092082_2015-02-26_final
2015-02-26 09:31:05	ga_ls7e_ard_3-0-0_092083_2015-02-26_final
2015-02-26 09:31:29	ga_ls7e_ard_3-0-0_092084_2015-02-26_final
2015-02-26 09:32:41	ga_ls7e_ard_3-0-0_092087_2015-02-26_final
2015-02-26 09:33:05	ga_ls7e_ard_3-0-0_092088_2015-02-26_final
2015-02-26 11:04:47	ga_ls7e_ard_3-0-0_108070_2015-02-26_final
2015-02-26 11:05:35	ga_ls7e_ard_3-0-0_108072_2015-02-26_final
2015-02-26 11:05:59	ga_ls7e_ard_3-0-0_108073_2015-02-26_final
2015-02-26 11:06:23	ga_ls7e_ard_3-0-0_108074_2015-02-26_final
2015-02-26 11:06:47	ga_ls7e_ard_3-0-0_108075_2015-02-26_final
2015-02-26 11:07:11	ga_ls7e_ard_3-0-0_108076_2015-02-26_final
2015-02-26 11:07:35	ga_ls7e_ard_3-0-0_108077_2015-02-26_final
2015-02-26 11:07:59	ga_ls7e_ard_3-0-0_108078_2015-02-26_final
2015-02-26 11:08:23	ga_ls7e_ard_3-0-0_108079_2015-02-26_final
2015-02-26 11:08:46	ga_ls7e_ard_3-0-0_108080_2015-02-26_final
2015-02-26 11:09:10	ga_ls7e_ard_3-0-0_108081_2015-02-26_final
2015-02-26 11:09:34	ga_ls7e_ard_3-0-0_108082_2015-02-26_final
2015-02-26 11:09:58	ga_ls7e_ard_3-0-0_108083_2015-02-26_final
2015-02-27 10:09:10	ga_ls7e_ard_3-0-0_099070_2015-02-27_final
2015-02-27 10:09:34	ga_ls7e_ard_3-0-0_099071_2015-02-27_final
2015-02-27 10:09:58	ga_ls7e_ard_3-0-0_099072_2015-02-27_final
2015-02-27 10:10:22	ga_ls7e_ard_3-0-0_099073_2015-02-27_final
2015-02-27 10:10:46	ga_ls7e_ard_3-0-0_099074_2015-02-27_final
2015-02-27 10:11:10	ga_ls7e_ard_3-0-0_099075_2015-02-27_final
2015-02-27 10:11:34	ga_ls7e_ard_3-0-0_099076_2015-02-27_final
2015-02-27 10:11:58	ga_ls7e_ard_3-0-0_099077_2015-02-27_final
2015-02-27 10:12:22	ga_ls7e_ard_3-0-0_099078_2015-02-27_final
2015-02-27 10:12:46	ga_ls7e_ard_3-0-0_099079_2015-02-27_final
2015-02-27 10:13:10	ga_ls7e_ard_3-0-0_099080_2015-02-27_final
2015-02-27 10:13:34	ga_ls7e_ard_3-0-0_099081_2015-02-27_final
2015-02-27 10:13:58	ga_ls7e_ard_3-0-0_099082_2015-02-27_final
2015-02-27 10:14:22	ga_ls7e_ard_3-0-0_099083_2015-02-27_final
2015-02-27 10:14:45	ga_ls7e_ard_3-0-0_099084_2015-02-27_final
2015-02-27 11:49:39	ga_ls7e_ard_3-0-0_115074_2015-02-27_final
2015-02-27 11:50:03	ga_ls7e_ard_3-0-0_115075_2015-02-27_final
2015-02-27 11:50:27	ga_ls7e_ard_3-0-0_115076_2015-02-27_final
2015-02-27 11:50:51	ga_ls7e_ard_3-1-0_115077_2015-02-27_final
2015-02-27 11:51:15	ga_ls7e_ard_3-0-0_115078_2015-02-27_final
2015-02-27 11:51:39	ga_ls7e_ard_3-0-0_115079_2015-02-27_final
2015-02-28 09:16:21	ga_ls7e_ard_3-0-0_090077_2015-02-27_final
2015-02-28 09:16:45	ga_ls7e_ard_3-0-0_090078_2015-02-27_final
2015-02-28 09:17:09	ga_ls7e_ard_3-0-0_090079_2015-02-27_final
2015-02-28 09:17:33	ga_ls7e_ard_3-0-0_090080_2015-02-27_final
2015-02-28 09:17:57	ga_ls7e_ard_3-0-0_090081_2015-02-27_final
2015-02-28 09:18:21	ga_ls7e_ard_3-1-0_090082_2015-02-27_final
2015-02-28 09:18:45	ga_ls7e_ard_3-0-0_090083_2015-02-27_final
2015-02-28 09:19:09	ga_ls7e_ard_3-0-0_090084_2015-02-27_final
2015-02-28 09:19:33	ga_ls7e_ard_3-1-0_090085_2015-02-27_final
2015-02-28 09:19:57	ga_ls7e_ard_3-0-0_090086_2015-02-27_final
2015-02-28 09:20:44	ga_ls7e_ard_3-0-0_090088_2015-02-27_final
2015-02-28 10:51:39	ga_ls7e_ard_3-0-0_106068_2015-02-28_final
2015-02-28 10:52:03	ga_ls7e_ard_3-0-0_106069_2015-02-28_final
2015-02-28 10:52:26	ga_ls7e_ard_3-0-0_106070_2015-02-28_final
2015-02-28 10:52:50	ga_ls7e_ard_3-0-0_106071_2015-02-28_final
2015-02-28 10:53:14	ga_ls7e_ard_3-0-0_106072_2015-02-28_final
2015-02-28 10:54:02	ga_ls7e_ard_3-0-0_106074_2015-02-28_final

Return to ga_ls7e_ard_3 across February 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

February

All days