Search ga_ls7e_ard_3 across March 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
2017-03-17 09:40:25	ga_ls7e_ard_3-1-0_094067_2017-03-17_final
2017-03-17 09:42:48	ga_ls7e_ard_3-0-0_094073_2017-03-17_final
2017-03-17 09:43:12	ga_ls7e_ard_3-0-0_094074_2017-03-17_final
2017-03-17 09:43:36	ga_ls7e_ard_3-0-0_094075_2017-03-17_final
2017-03-17 09:44:00	ga_ls7e_ard_3-0-0_094076_2017-03-17_final
2017-03-17 09:44:24	ga_ls7e_ard_3-0-0_094077_2017-03-17_final
2017-03-17 09:44:48	ga_ls7e_ard_3-0-0_094078_2017-03-17_final
2017-03-17 09:45:12	ga_ls7e_ard_3-0-0_094079_2017-03-17_final
2017-03-17 09:45:36	ga_ls7e_ard_3-0-0_094080_2017-03-17_final
2017-03-17 09:46:00	ga_ls7e_ard_3-0-0_094081_2017-03-17_final
2017-03-17 09:46:24	ga_ls7e_ard_3-0-0_094082_2017-03-17_final
2017-03-17 09:46:48	ga_ls7e_ard_3-0-0_094083_2017-03-17_final
2017-03-17 09:47:12	ga_ls7e_ard_3-0-0_094084_2017-03-17_final
2017-03-17 09:47:36	ga_ls7e_ard_3-0-0_094085_2017-03-17_final
2017-03-17 09:48:00	ga_ls7e_ard_3-0-0_094086_2017-03-17_final
2017-03-17 09:48:23	ga_ls7e_ard_3-0-0_094087_2017-03-17_final
2017-03-17 11:21:17	ga_ls7e_ard_3-1-0_110072_2017-03-17_final
2017-03-18 10:25:16	ga_ls7e_ard_3-0-0_101071_2017-03-18_final
2017-03-18 10:25:40	ga_ls7e_ard_3-0-0_101072_2017-03-18_final
2017-03-18 10:26:04	ga_ls7e_ard_3-0-0_101073_2017-03-18_final
2017-03-18 10:26:28	ga_ls7e_ard_3-0-0_101074_2017-03-18_final
2017-03-18 10:26:52	ga_ls7e_ard_3-1-0_101075_2017-03-18_final
2017-03-18 10:27:16	ga_ls7e_ard_3-0-0_101076_2017-03-18_final
2017-03-18 10:27:40	ga_ls7e_ard_3-0-0_101077_2017-03-18_final
2017-03-18 10:28:04	ga_ls7e_ard_3-0-0_101078_2017-03-18_final
2017-03-18 10:28:28	ga_ls7e_ard_3-0-0_101079_2017-03-18_final
2017-03-18 10:28:52	ga_ls7e_ard_3-0-0_101080_2017-03-18_final
2017-03-18 10:29:16	ga_ls7e_ard_3-0-0_101081_2017-03-18_final
2017-03-18 10:29:40	ga_ls7e_ard_3-0-0_101082_2017-03-18_final
2017-03-18 10:30:04	ga_ls7e_ard_3-0-0_101083_2017-03-18_final
2017-03-19 09:31:15	ga_ls7e_ard_3-0-0_092075_2017-03-19_final
2017-03-19 09:31:39	ga_ls7e_ard_3-0-0_092076_2017-03-19_final
2017-03-19 09:32:03	ga_ls7e_ard_3-0-0_092077_2017-03-19_final
2017-03-19 09:32:27	ga_ls7e_ard_3-0-0_092078_2017-03-19_final
2017-03-19 09:32:51	ga_ls7e_ard_3-0-0_092079_2017-03-19_final
2017-03-19 09:33:15	ga_ls7e_ard_3-0-0_092080_2017-03-19_final
2017-03-19 09:33:39	ga_ls7e_ard_3-0-0_092081_2017-03-19_final
2017-03-19 09:34:51	ga_ls7e_ard_3-0-0_092084_2017-03-19_final
2017-03-19 09:35:15	ga_ls7e_ard_3-0-0_092085_2017-03-19_final
2017-03-19 09:35:39	ga_ls7e_ard_3-0-0_092086_2017-03-19_final
2017-03-19 09:36:02	ga_ls7e_ard_3-0-0_092087_2017-03-19_final
2017-03-19 09:36:26	ga_ls7e_ard_3-0-0_092088_2017-03-19_final
2017-03-19 09:36:50	ga_ls7e_ard_3-0-0_092089_2017-03-19_final
2017-03-19 11:08:32	ga_ls7e_ard_3-0-0_108071_2017-03-19_final
2017-03-19 11:10:08	ga_ls7e_ard_3-1-0_108075_2017-03-19_final
2017-03-19 11:10:32	ga_ls7e_ard_3-0-0_108076_2017-03-19_final
2017-03-26 11:14:21	ga_ls7e_ard_3-0-0_109070_2017-03-26_final
2017-03-26 11:14:45	ga_ls7e_ard_3-0-0_109071_2017-03-26_final
2017-03-26 11:15:09	ga_ls7e_ard_3-0-0_109072_2017-03-26_final
2017-03-26 11:15:33	ga_ls7e_ard_3-0-0_109073_2017-03-26_final
2017-03-26 11:15:57	ga_ls7e_ard_3-0-0_109074_2017-03-26_final
2017-03-26 11:16:21	ga_ls7e_ard_3-0-0_109075_2017-03-26_final
2017-03-26 11:16:45	ga_ls7e_ard_3-0-0_109076_2017-03-26_final
2017-03-26 11:17:09	ga_ls7e_ard_3-0-0_109077_2017-03-26_final
2017-03-26 11:17:33	ga_ls7e_ard_3-0-0_109078_2017-03-26_final
2017-03-26 11:17:57	ga_ls7e_ard_3-0-0_109079_2017-03-26_final
2017-03-26 11:18:21	ga_ls7e_ard_3-0-0_109080_2017-03-26_final
2017-03-26 11:18:45	ga_ls7e_ard_3-1-0_109081_2017-03-26_final
2017-03-26 11:19:08	ga_ls7e_ard_3-0-0_109082_2017-03-26_final
2017-03-26 11:19:32	ga_ls7e_ard_3-0-0_109083_2017-03-26_final
2017-03-26 11:19:56	ga_ls7e_ard_3-0-0_109084_2017-03-26_final
2017-03-27 10:19:08	ga_ls7e_ard_3-0-0_100071_2017-03-27_final
2017-03-27 10:19:32	ga_ls7e_ard_3-0-0_100072_2017-03-27_final
2017-03-27 10:19:56	ga_ls7e_ard_3-0-0_100073_2017-03-27_final
2017-03-27 10:20:20	ga_ls7e_ard_3-0-0_100074_2017-03-27_final
2017-03-27 10:20:44	ga_ls7e_ard_3-0-0_100075_2017-03-27_final
2017-03-27 10:21:08	ga_ls7e_ard_3-0-0_100076_2017-03-27_final
2017-03-27 10:21:32	ga_ls7e_ard_3-0-0_100077_2017-03-27_final
2017-03-27 10:21:56	ga_ls7e_ard_3-0-0_100078_2017-03-27_final
2017-03-27 10:22:20	ga_ls7e_ard_3-0-0_100079_2017-03-27_final
2017-03-27 10:22:43	ga_ls7e_ard_3-0-0_100080_2017-03-27_final
2017-03-27 10:23:07	ga_ls7e_ard_3-0-0_100081_2017-03-27_final
2017-03-27 10:23:31	ga_ls7e_ard_3-0-0_100082_2017-03-27_final
2017-03-27 10:23:55	ga_ls7e_ard_3-0-0_100083_2017-03-27_final
2017-03-27 10:24:19	ga_ls7e_ard_3-0-0_100084_2017-03-27_final
2017-03-28 09:26:18	ga_ls7e_ard_3-0-0_091078_2017-03-27_final
2017-03-28 09:26:42	ga_ls7e_ard_3-0-0_091079_2017-03-27_final
2017-03-28 09:27:06	ga_ls7e_ard_3-0-0_091080_2017-03-27_final
2017-03-28 09:27:30	ga_ls7e_ard_3-0-0_091081_2017-03-27_final
2017-03-28 09:27:54	ga_ls7e_ard_3-0-0_091082_2017-03-27_final
2017-03-28 09:28:18	ga_ls7e_ard_3-0-0_091083_2017-03-27_final
2017-03-28 09:28:42	ga_ls7e_ard_3-0-0_091084_2017-03-27_final
2017-03-28 09:29:06	ga_ls7e_ard_3-0-0_091085_2017-03-27_final
2017-03-28 09:29:30	ga_ls7e_ard_3-1-0_091086_2017-03-27_final
2017-03-28 09:29:54	ga_ls7e_ard_3-1-0_091087_2017-03-27_final
2017-03-28 09:30:18	ga_ls7e_ard_3-0-0_091088_2017-03-28_final
2017-03-28 09:30:42	ga_ls7e_ard_3-0-0_091089_2017-03-28_final
2017-03-28 11:02:00	ga_ls7e_ard_3-0-0_107070_2017-03-28_final
2017-03-28 11:02:24	ga_ls7e_ard_3-0-0_107071_2017-03-28_final
2017-03-28 11:02:48	ga_ls7e_ard_3-0-0_107072_2017-03-28_final
2017-03-28 11:03:12	ga_ls7e_ard_3-0-0_107073_2017-03-28_final
2017-03-28 11:03:36	ga_ls7e_ard_3-0-0_107074_2017-03-28_final
2017-03-28 11:04:24	ga_ls7e_ard_3-0-0_107076_2017-03-28_final
2017-03-28 11:04:48	ga_ls7e_ard_3-0-0_107077_2017-03-28_final
2017-03-28 11:05:11	ga_ls7e_ard_3-0-0_107078_2017-03-28_final
2017-03-28 11:05:35	ga_ls7e_ard_3-0-0_107079_2017-03-28_final
2017-03-28 11:05:59	ga_ls7e_ard_3-0-0_107080_2017-03-28_final
2017-03-28 11:06:23	ga_ls7e_ard_3-0-0_107081_2017-03-28_final
2017-03-28 11:06:47	ga_ls7e_ard_3-0-0_107082_2017-03-28_final
2017-03-28 11:07:11	ga_ls7e_ard_3-0-0_107083_2017-03-28_final

Return to ga_ls7e_ard_3 across March 2017 overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

2017

March

All days