Search ga_ls7e_ard_3 across May 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
2015-05-01 09:28:22	ga_ls7e_ard_3-0-0_092075_2015-04-30_final
2015-05-01 09:28:46	ga_ls7e_ard_3-0-0_092076_2015-04-30_final
2015-05-01 09:29:10	ga_ls7e_ard_3-0-0_092077_2015-04-30_final
2015-05-01 09:31:10	ga_ls7e_ard_3-0-0_092082_2015-05-01_final
2015-05-01 09:31:34	ga_ls7e_ard_3-0-0_092083_2015-05-01_final
2015-05-01 09:31:58	ga_ls7e_ard_3-0-0_092084_2015-05-01_final
2015-05-01 09:32:21	ga_ls7e_ard_3-0-0_092085_2015-05-01_final
2015-05-01 09:32:45	ga_ls7e_ard_3-0-0_092086_2015-05-01_final
2015-05-01 09:33:09	ga_ls7e_ard_3-0-0_092087_2015-05-01_final
2015-05-01 09:33:33	ga_ls7e_ard_3-0-0_092088_2015-05-01_final
2015-05-01 09:33:57	ga_ls7e_ard_3-0-0_092089_2015-05-01_final
2015-05-01 11:04:51	ga_ls7e_ard_3-0-0_108069_2015-05-01_final
2015-05-01 11:05:15	ga_ls7e_ard_3-0-0_108070_2015-05-01_final
2015-05-01 11:05:39	ga_ls7e_ard_3-0-0_108071_2015-05-01_final
2015-05-01 11:06:03	ga_ls7e_ard_3-0-0_108072_2015-05-01_final
2015-05-01 11:06:27	ga_ls7e_ard_3-0-0_108073_2015-05-01_final
2015-05-01 11:06:51	ga_ls7e_ard_3-0-0_108074_2015-05-01_final
2015-05-01 11:07:15	ga_ls7e_ard_3-1-0_108075_2015-05-01_final
2015-05-01 11:07:39	ga_ls7e_ard_3-0-0_108076_2015-05-01_final
2015-05-01 11:09:39	ga_ls7e_ard_3-0-0_108081_2015-05-01_final
2015-05-01 11:10:03	ga_ls7e_ard_3-0-0_108082_2015-05-01_final
2015-05-01 11:10:27	ga_ls7e_ard_3-0-0_108083_2015-05-01_final
2015-05-01 11:10:51	ga_ls7e_ard_3-0-0_108084_2015-05-01_final
2015-05-02 10:08:27	ga_ls7e_ard_3-0-0_099067_2015-05-02_final
2015-05-02 10:08:50	ga_ls7e_ard_3-0-0_099068_2015-05-02_final
2015-05-02 10:09:14	ga_ls7e_ard_3-0-0_099069_2015-05-02_final
2015-05-02 10:09:38	ga_ls7e_ard_3-0-0_099070_2015-05-02_final
2015-05-02 10:10:02	ga_ls7e_ard_3-0-0_099071_2015-05-02_final
2015-05-02 10:10:26	ga_ls7e_ard_3-0-0_099072_2015-05-02_final
2015-05-02 10:10:50	ga_ls7e_ard_3-0-0_099073_2015-05-02_final
2015-05-02 10:11:14	ga_ls7e_ard_3-0-0_099074_2015-05-02_final
2015-05-02 10:11:38	ga_ls7e_ard_3-0-0_099075_2015-05-02_final
2015-05-02 10:12:02	ga_ls7e_ard_3-0-0_099076_2015-05-02_final
2015-05-02 10:12:26	ga_ls7e_ard_3-0-0_099077_2015-05-02_final
2015-05-02 10:12:50	ga_ls7e_ard_3-0-0_099078_2015-05-02_final
2015-05-02 10:13:14	ga_ls7e_ard_3-0-0_099079_2015-05-02_final
2015-05-02 10:13:38	ga_ls7e_ard_3-0-0_099080_2015-05-02_final
2015-05-02 10:14:02	ga_ls7e_ard_3-0-0_099081_2015-05-02_final
2015-05-02 10:14:26	ga_ls7e_ard_3-0-0_099082_2015-05-02_final
2015-05-02 10:14:50	ga_ls7e_ard_3-0-0_099083_2015-05-02_final
2015-05-02 10:15:14	ga_ls7e_ard_3-0-0_099084_2015-05-02_final
2015-05-02 11:50:31	ga_ls7e_ard_3-0-0_115075_2015-05-02_final
2015-05-02 11:50:55	ga_ls7e_ard_3-0-0_115076_2015-05-02_final
2015-05-02 11:51:19	ga_ls7e_ard_3-1-0_115077_2015-05-02_final
2015-05-02 11:51:43	ga_ls7e_ard_3-0-0_115078_2015-05-02_final
2015-05-02 11:52:07	ga_ls7e_ard_3-0-0_115079_2015-05-02_final
2015-05-03 09:16:49	ga_ls7e_ard_3-0-0_090077_2015-05-02_final
2015-05-03 09:17:13	ga_ls7e_ard_3-0-0_090078_2015-05-02_final
2015-05-03 09:17:37	ga_ls7e_ard_3-0-0_090079_2015-05-02_final
2015-05-13 09:51:13	ga_ls7e_ard_3-0-0_096070_2015-05-13_final
2015-05-13 09:51:36	ga_ls7e_ard_3-0-0_096071_2015-05-13_final
2015-05-13 09:52:00	ga_ls7e_ard_3-0-0_096072_2015-05-13_final
2015-05-13 09:52:24	ga_ls7e_ard_3-0-0_096073_2015-05-13_final
2015-05-13 09:52:48	ga_ls7e_ard_3-0-0_096074_2015-05-13_final
2015-05-13 09:53:12	ga_ls7e_ard_3-0-0_096075_2015-05-13_final
2015-05-13 09:53:36	ga_ls7e_ard_3-0-0_096076_2015-05-13_final
2015-05-13 09:54:00	ga_ls7e_ard_3-0-0_096077_2015-05-13_final
2015-05-13 09:54:24	ga_ls7e_ard_3-0-0_096078_2015-05-13_final
2015-05-13 09:54:48	ga_ls7e_ard_3-0-0_096079_2015-05-13_final
2015-05-13 09:55:12	ga_ls7e_ard_3-0-0_096080_2015-05-13_final
2015-05-13 09:55:36	ga_ls7e_ard_3-0-0_096081_2015-05-13_final
2015-05-13 09:56:00	ga_ls7e_ard_3-0-0_096082_2015-05-13_final
2015-05-13 09:56:24	ga_ls7e_ard_3-0-0_096083_2015-05-13_final
2015-05-13 09:56:48	ga_ls7e_ard_3-0-0_096084_2015-05-13_final
2015-05-13 09:57:12	ga_ls7e_ard_3-0-0_096085_2015-05-13_final
2015-05-13 09:57:36	ga_ls7e_ard_3-1-0_096086_2015-05-13_final
2015-05-14 10:33:41	ga_ls7e_ard_3-0-0_103068_2015-05-14_final
2015-05-14 10:34:05	ga_ls7e_ard_3-0-0_103069_2015-05-14_final
2015-05-14 10:34:29	ga_ls7e_ard_3-0-0_103070_2015-05-14_final
2015-05-14 10:34:53	ga_ls7e_ard_3-0-0_103071_2015-05-14_final
2015-05-14 10:35:17	ga_ls7e_ard_3-0-0_103072_2015-05-14_final
2015-05-14 10:35:40	ga_ls7e_ard_3-0-0_103073_2015-05-14_final
2015-05-14 10:36:04	ga_ls7e_ard_3-0-0_103074_2015-05-14_final
2015-05-14 10:36:28	ga_ls7e_ard_3-0-0_103075_2015-05-14_final
2015-05-15 09:37:40	ga_ls7e_ard_3-1-0_094067_2015-05-15_final
2015-05-15 09:40:04	ga_ls7e_ard_3-0-0_094073_2015-05-15_final
2015-05-15 09:40:27	ga_ls7e_ard_3-0-0_094074_2015-05-15_final
2015-05-15 09:40:51	ga_ls7e_ard_3-0-0_094075_2015-05-15_final
2015-05-15 09:41:15	ga_ls7e_ard_3-0-0_094076_2015-05-15_final
2015-05-15 09:41:39	ga_ls7e_ard_3-0-0_094077_2015-05-15_final
2015-05-15 09:42:03	ga_ls7e_ard_3-0-0_094078_2015-05-15_final
2015-05-15 09:42:27	ga_ls7e_ard_3-0-0_094079_2015-05-15_final
2015-05-15 09:42:51	ga_ls7e_ard_3-0-0_094080_2015-05-15_final
2015-05-15 09:43:15	ga_ls7e_ard_3-0-0_094081_2015-05-15_final
2015-05-15 09:43:39	ga_ls7e_ard_3-0-0_094082_2015-05-15_final
2015-05-15 09:44:03	ga_ls7e_ard_3-1-0_094083_2015-05-15_final
2015-05-15 09:44:27	ga_ls7e_ard_3-0-0_094084_2015-05-15_final
2015-05-15 09:44:51	ga_ls7e_ard_3-0-0_094085_2015-05-15_final
2015-05-16 10:22:32	ga_ls7e_ard_3-0-0_101071_2015-05-16_final
2015-05-16 10:22:56	ga_ls7e_ard_3-0-0_101072_2015-05-16_final
2015-05-16 10:23:20	ga_ls7e_ard_3-0-0_101073_2015-05-16_final
2015-05-16 10:23:44	ga_ls7e_ard_3-0-0_101074_2015-05-16_final
2015-05-16 10:24:07	ga_ls7e_ard_3-1-0_101075_2015-05-16_final
2015-05-16 10:24:31	ga_ls7e_ard_3-0-0_101076_2015-05-16_final
2015-05-16 10:24:55	ga_ls7e_ard_3-0-0_101077_2015-05-16_final
2015-05-16 10:25:19	ga_ls7e_ard_3-0-0_101078_2015-05-16_final
2015-05-16 10:25:43	ga_ls7e_ard_3-0-0_101079_2015-05-16_final
2015-05-16 10:26:07	ga_ls7e_ard_3-0-0_101080_2015-05-16_final
2015-05-16 10:26:31	ga_ls7e_ard_3-0-0_101081_2015-05-16_final
2015-05-16 10:26:55	ga_ls7e_ard_3-0-0_101082_2015-05-16_final

Return to ga_ls7e_ard_3 across May 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

May

All days