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
2017-03-11 10:19:03	ga_ls7e_ard_3-0-0_100071_2017-03-11_final
2017-03-11 10:19:27	ga_ls7e_ard_3-0-0_100072_2017-03-11_final
2017-03-11 10:19:51	ga_ls7e_ard_3-0-0_100073_2017-03-11_final
2017-03-11 10:20:15	ga_ls7e_ard_3-0-0_100074_2017-03-11_final
2017-03-11 10:20:39	ga_ls7e_ard_3-0-0_100075_2017-03-11_final
2017-03-11 10:21:03	ga_ls7e_ard_3-0-0_100076_2017-03-11_final
2017-03-11 10:21:27	ga_ls7e_ard_3-0-0_100077_2017-03-11_final
2017-03-11 10:21:51	ga_ls7e_ard_3-0-0_100078_2017-03-11_final
2017-03-11 10:22:15	ga_ls7e_ard_3-0-0_100079_2017-03-11_final
2017-03-11 10:22:39	ga_ls7e_ard_3-0-0_100080_2017-03-11_final
2017-03-11 10:23:03	ga_ls7e_ard_3-0-0_100081_2017-03-11_final
2017-03-11 10:23:27	ga_ls7e_ard_3-0-0_100082_2017-03-11_final
2017-03-11 10:23:51	ga_ls7e_ard_3-0-0_100083_2017-03-11_final
2017-03-12 09:25:26	ga_ls7e_ard_3-0-0_091076_2017-03-11_final
2017-03-12 09:25:50	ga_ls7e_ard_3-0-0_091077_2017-03-11_final
2017-03-12 09:26:14	ga_ls7e_ard_3-0-0_091078_2017-03-11_final
2017-03-12 09:26:38	ga_ls7e_ard_3-0-0_091079_2017-03-11_final
2017-03-12 09:27:02	ga_ls7e_ard_3-0-0_091080_2017-03-11_final
2017-03-12 09:27:26	ga_ls7e_ard_3-0-0_091081_2017-03-11_final
2017-03-12 09:27:50	ga_ls7e_ard_3-0-0_091082_2017-03-11_final
2017-03-12 09:28:14	ga_ls7e_ard_3-0-0_091083_2017-03-11_final
2017-03-12 09:28:38	ga_ls7e_ard_3-0-0_091084_2017-03-11_final
2017-03-12 09:29:01	ga_ls7e_ard_3-0-0_091085_2017-03-11_final
2017-03-12 09:29:25	ga_ls7e_ard_3-1-0_091086_2017-03-11_final
2017-03-12 11:01:55	ga_ls7e_ard_3-0-0_107070_2017-03-12_final
2017-03-12 11:02:19	ga_ls7e_ard_3-0-0_107071_2017-03-12_final
2017-03-12 11:02:43	ga_ls7e_ard_3-0-0_107072_2017-03-12_final
2017-03-12 11:03:07	ga_ls7e_ard_3-0-0_107073_2017-03-12_final
2017-03-12 11:03:31	ga_ls7e_ard_3-0-0_107074_2017-03-12_final
2017-03-12 11:03:55	ga_ls7e_ard_3-0-0_107075_2017-03-12_final
2017-03-12 11:04:19	ga_ls7e_ard_3-0-0_107076_2017-03-12_final
2017-03-12 11:04:43	ga_ls7e_ard_3-0-0_107077_2017-03-12_final
2017-03-12 11:05:07	ga_ls7e_ard_3-0-0_107078_2017-03-12_final
2017-03-12 11:05:31	ga_ls7e_ard_3-0-0_107079_2017-03-12_final
2017-03-12 11:05:55	ga_ls7e_ard_3-0-0_107080_2017-03-12_final
2017-03-12 11:06:19	ga_ls7e_ard_3-0-0_107081_2017-03-12_final
2017-03-12 11:06:43	ga_ls7e_ard_3-0-0_107082_2017-03-12_final
2017-03-12 11:07:07	ga_ls7e_ard_3-0-0_107083_2017-03-12_final
2017-03-12 11:07:31	ga_ls7e_ard_3-0-0_107084_2017-03-12_final
2017-03-13 10:05:54	ga_ls7e_ard_3-0-0_098069_2017-03-13_final
2017-03-13 10:06:18	ga_ls7e_ard_3-0-0_098070_2017-03-13_final
2017-03-13 10:06:42	ga_ls7e_ard_3-0-0_098071_2017-03-13_final
2017-03-13 10:07:06	ga_ls7e_ard_3-0-0_098072_2017-03-13_final
2017-03-13 10:07:30	ga_ls7e_ard_3-0-0_098073_2017-03-13_final
2017-03-13 10:07:54	ga_ls7e_ard_3-0-0_098074_2017-03-13_final
2017-03-13 10:08:18	ga_ls7e_ard_3-0-0_098075_2017-03-13_final
2017-03-13 10:08:42	ga_ls7e_ard_3-0-0_098076_2017-03-13_final
2017-03-13 10:09:06	ga_ls7e_ard_3-0-0_098077_2017-03-13_final
2017-03-13 10:09:30	ga_ls7e_ard_3-0-0_098078_2017-03-13_final
2017-03-13 10:09:54	ga_ls7e_ard_3-0-0_098079_2017-03-13_final
2017-03-13 10:10:18	ga_ls7e_ard_3-1-0_098080_2017-03-13_final
2017-03-13 10:10:42	ga_ls7e_ard_3-0-0_098081_2017-03-13_final
2017-03-13 10:11:06	ga_ls7e_ard_3-0-0_098082_2017-03-13_final
2017-03-13 10:11:30	ga_ls7e_ard_3-0-0_098083_2017-03-13_final
2017-03-13 10:11:54	ga_ls7e_ard_3-0-0_098084_2017-03-13_final
2017-03-13 10:12:18	ga_ls7e_ard_3-0-0_098085_2017-03-13_final
2017-03-13 11:46:47	ga_ls7e_ard_3-0-0_114074_2017-03-13_final
2017-03-13 11:47:11	ga_ls7e_ard_3-0-0_114075_2017-03-13_final
2017-03-13 11:47:35	ga_ls7e_ard_3-0-0_114076_2017-03-13_final
2017-03-13 11:47:59	ga_ls7e_ard_3-0-0_114077_2017-03-13_final
2017-03-13 11:48:23	ga_ls7e_ard_3-0-0_114078_2017-03-13_final
2017-03-13 11:48:47	ga_ls7e_ard_3-0-0_114079_2017-03-13_final
2017-03-14 09:13:53	ga_ls7e_ard_3-0-0_089078_2017-03-13_final
2017-03-14 09:15:29	ga_ls7e_ard_3-0-0_089082_2017-03-13_final
2017-03-14 09:15:53	ga_ls7e_ard_3-0-0_089083_2017-03-13_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
2017-03-19 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
2017-03-20 10:11:44	ga_ls7e_ard_3-0-0_099068_2017-03-20_final
2017-03-20 10:12:55	ga_ls7e_ard_3-0-0_099071_2017-03-20_final
2017-03-20 10:13:19	ga_ls7e_ard_3-0-0_099072_2017-03-20_final
2017-03-20 10:13:43	ga_ls7e_ard_3-0-0_099073_2017-03-20_final
2017-03-20 10:14:07	ga_ls7e_ard_3-0-0_099074_2017-03-20_final
2017-03-20 10:14:31	ga_ls7e_ard_3-0-0_099075_2017-03-20_final
2017-03-20 10:14:55	ga_ls7e_ard_3-0-0_099076_2017-03-20_final
2017-03-20 10:15:19	ga_ls7e_ard_3-0-0_099077_2017-03-20_final
2017-03-20 10:15:43	ga_ls7e_ard_3-0-0_099078_2017-03-20_final
2017-03-20 10:16:07	ga_ls7e_ard_3-0-0_099079_2017-03-20_final
2017-03-20 10:16:31	ga_ls7e_ard_3-0-0_099080_2017-03-20_final
2017-03-20 10:16:55	ga_ls7e_ard_3-0-0_099081_2017-03-20_final
2017-03-20 10:17:19	ga_ls7e_ard_3-0-0_099082_2017-03-20_final
2017-03-20 10:17:43	ga_ls7e_ard_3-0-0_099083_2017-03-20_final
2017-03-20 10:18:07	ga_ls7e_ard_3-0-0_099084_2017-03-20_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

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

2017

March

All days