Search ga_ls7e_ard_3 across April 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
2017-04-13 09:25:36	ga_ls7e_ard_3-0-0_091076_2017-04-12_final
2017-04-13 09:26:00	ga_ls7e_ard_3-0-0_091077_2017-04-12_final
2017-04-13 09:26:24	ga_ls7e_ard_3-0-0_091078_2017-04-12_final
2017-04-13 09:26:48	ga_ls7e_ard_3-0-0_091079_2017-04-12_final
2017-04-13 09:27:12	ga_ls7e_ard_3-0-0_091080_2017-04-12_final
2017-04-13 09:27:36	ga_ls7e_ard_3-0-0_091081_2017-04-12_final
2017-04-13 09:28:00	ga_ls7e_ard_3-0-0_091082_2017-04-12_final
2017-04-13 09:28:24	ga_ls7e_ard_3-0-0_091083_2017-04-12_final
2017-04-13 09:28:48	ga_ls7e_ard_3-0-0_091084_2017-04-12_final
2017-04-13 09:29:12	ga_ls7e_ard_3-0-0_091085_2017-04-12_final
2017-04-13 09:29:36	ga_ls7e_ard_3-1-0_091086_2017-04-12_final
2017-04-19 10:25:27	ga_ls7e_ard_3-0-0_101071_2017-04-19_final
2017-04-19 10:25:51	ga_ls7e_ard_3-0-0_101072_2017-04-19_final
2017-04-19 10:26:15	ga_ls7e_ard_3-0-0_101073_2017-04-19_final
2017-04-19 10:26:39	ga_ls7e_ard_3-0-0_101074_2017-04-19_final
2017-04-19 10:27:03	ga_ls7e_ard_3-1-0_101075_2017-04-19_final
2017-04-19 10:27:27	ga_ls7e_ard_3-0-0_101076_2017-04-19_final
2017-04-19 10:27:51	ga_ls7e_ard_3-0-0_101077_2017-04-19_final
2017-04-19 10:29:27	ga_ls7e_ard_3-0-0_101081_2017-04-19_final
2017-04-19 10:29:51	ga_ls7e_ard_3-0-0_101082_2017-04-19_final
2017-04-19 10:30:15	ga_ls7e_ard_3-0-0_101083_2017-04-19_final
2017-04-20 09:31:26	ga_ls7e_ard_3-0-0_092075_2017-04-20_final
2017-04-20 09:31:50	ga_ls7e_ard_3-0-0_092076_2017-04-20_final
2017-04-20 09:32:14	ga_ls7e_ard_3-0-0_092077_2017-04-20_final
2017-04-20 09:32:38	ga_ls7e_ard_3-0-0_092078_2017-04-20_final
2017-04-20 09:33:02	ga_ls7e_ard_3-0-0_092079_2017-04-20_final
2017-04-20 09:33:26	ga_ls7e_ard_3-0-0_092080_2017-04-20_final
2017-04-20 09:33:50	ga_ls7e_ard_3-0-0_092081_2017-04-20_final
2017-04-20 09:34:14	ga_ls7e_ard_3-0-0_092082_2017-04-20_final
2017-04-20 09:34:38	ga_ls7e_ard_3-0-0_092083_2017-04-20_final
2017-04-20 09:35:02	ga_ls7e_ard_3-0-0_092084_2017-04-20_final
2017-04-20 09:35:26	ga_ls7e_ard_3-0-0_092085_2017-04-20_final
2017-04-20 09:35:50	ga_ls7e_ard_3-0-0_092086_2017-04-20_final
2017-04-20 09:36:14	ga_ls7e_ard_3-0-0_092087_2017-04-20_final
2017-04-20 09:36:38	ga_ls7e_ard_3-0-0_092088_2017-04-20_final
2017-04-20 09:37:02	ga_ls7e_ard_3-0-0_092089_2017-04-20_final
2017-04-20 11:07:56	ga_ls7e_ard_3-0-0_108069_2017-04-20_final
2017-04-20 11:08:20	ga_ls7e_ard_3-0-0_108070_2017-04-20_final
2017-04-20 11:08:44	ga_ls7e_ard_3-0-0_108071_2017-04-20_final
2017-04-20 11:09:07	ga_ls7e_ard_3-0-0_108072_2017-04-20_final
2017-04-20 11:09:31	ga_ls7e_ard_3-0-0_108073_2017-04-20_final
2017-04-20 11:10:19	ga_ls7e_ard_3-0-0_108075_2017-04-20_final
2017-04-20 11:10:43	ga_ls7e_ard_3-0-0_108076_2017-04-20_final
2017-04-20 11:11:07	ga_ls7e_ard_3-0-0_108077_2017-04-20_final
2017-04-20 11:12:43	ga_ls7e_ard_3-0-0_108081_2017-04-20_final
2017-04-20 11:13:07	ga_ls7e_ard_3-0-0_108082_2017-04-20_final
2017-04-20 11:13:31	ga_ls7e_ard_3-0-0_108083_2017-04-20_final
2017-04-20 11:13:55	ga_ls7e_ard_3-0-0_108084_2017-04-20_final
2017-04-21 10:11:55	ga_ls7e_ard_3-0-0_099068_2017-04-21_final
2017-04-21 10:12:19	ga_ls7e_ard_3-0-0_099069_2017-04-21_final
2017-04-21 10:12:43	ga_ls7e_ard_3-0-0_099070_2017-04-21_final
2017-04-21 10:13:07	ga_ls7e_ard_3-0-0_099071_2017-04-21_final
2017-04-21 10:13:31	ga_ls7e_ard_3-0-0_099072_2017-04-21_final
2017-04-21 10:13:54	ga_ls7e_ard_3-0-0_099073_2017-04-21_final
2017-04-21 10:14:18	ga_ls7e_ard_3-0-0_099074_2017-04-21_final
2017-04-21 10:14:42	ga_ls7e_ard_3-0-0_099075_2017-04-21_final
2017-04-21 10:15:06	ga_ls7e_ard_3-0-0_099076_2017-04-21_final
2017-04-21 10:15:30	ga_ls7e_ard_3-0-0_099077_2017-04-21_final
2017-04-21 10:15:54	ga_ls7e_ard_3-0-0_099078_2017-04-21_final
2017-04-21 10:17:54	ga_ls7e_ard_3-0-0_099083_2017-04-21_final
2017-04-21 10:18:18	ga_ls7e_ard_3-0-0_099084_2017-04-21_final
2017-04-21 11:53:12	ga_ls7e_ard_3-0-0_115074_2017-04-21_final
2017-04-21 11:53:35	ga_ls7e_ard_3-0-0_115075_2017-04-21_final
2017-04-21 11:53:59	ga_ls7e_ard_3-0-0_115076_2017-04-21_final
2017-04-21 11:54:23	ga_ls7e_ard_3-1-0_115077_2017-04-21_final
2017-04-21 11:54:47	ga_ls7e_ard_3-0-0_115078_2017-04-21_final
2017-04-21 11:55:11	ga_ls7e_ard_3-0-0_115079_2017-04-21_final
2017-04-22 09:19:53	ga_ls7e_ard_3-0-0_090077_2017-04-21_final
2017-04-22 09:20:41	ga_ls7e_ard_3-0-0_090079_2017-04-21_final
2017-04-22 09:21:05	ga_ls7e_ard_3-0-0_090080_2017-04-21_final
2017-04-22 09:21:29	ga_ls7e_ard_3-0-0_090081_2017-04-21_final
2017-04-22 09:22:17	ga_ls7e_ard_3-0-0_090083_2017-04-21_final
2017-04-22 09:22:41	ga_ls7e_ard_3-0-0_090084_2017-04-21_final
2017-04-22 09:23:05	ga_ls7e_ard_3-1-0_090085_2017-04-21_final
2017-04-22 09:23:29	ga_ls7e_ard_3-0-0_090086_2017-04-21_final
2017-04-22 10:55:11	ga_ls7e_ard_3-0-0_106068_2017-04-22_final
2017-04-22 10:55:35	ga_ls7e_ard_3-0-0_106069_2017-04-22_final
2017-04-22 10:55:59	ga_ls7e_ard_3-0-0_106070_2017-04-22_final
2017-04-22 10:56:23	ga_ls7e_ard_3-0-0_106071_2017-04-22_final
2017-04-22 10:56:47	ga_ls7e_ard_3-0-0_106072_2017-04-22_final
2017-04-22 10:57:11	ga_ls7e_ard_3-0-0_106073_2017-04-22_final
2017-04-22 10:57:35	ga_ls7e_ard_3-0-0_106074_2017-04-22_final
2017-04-22 10:57:58	ga_ls7e_ard_3-1-0_106075_2017-04-22_final
2017-04-22 10:58:22	ga_ls7e_ard_3-0-0_106076_2017-04-22_final
2017-04-22 10:58:46	ga_ls7e_ard_3-0-0_106077_2017-04-22_final
2017-04-22 10:59:10	ga_ls7e_ard_3-0-0_106078_2017-04-22_final
2017-04-22 11:00:22	ga_ls7e_ard_3-0-0_106081_2017-04-22_final
2017-04-22 11:00:46	ga_ls7e_ard_3-0-0_106082_2017-04-22_final
2017-04-22 11:01:10	ga_ls7e_ard_3-0-0_106083_2017-04-22_final
2017-04-23 10:00:22	ga_ls7e_ard_3-0-0_097070_2017-04-23_final
2017-04-23 10:00:46	ga_ls7e_ard_3-0-0_097071_2017-04-23_final
2017-04-23 10:01:10	ga_ls7e_ard_3-0-0_097072_2017-04-23_final
2017-04-23 10:01:34	ga_ls7e_ard_3-0-0_097073_2017-04-23_final
2017-04-23 10:01:58	ga_ls7e_ard_3-0-0_097074_2017-04-23_final
2017-04-23 10:02:22	ga_ls7e_ard_3-0-0_097075_2017-04-23_final
2017-04-23 10:02:45	ga_ls7e_ard_3-1-0_097076_2017-04-23_final
2017-04-23 10:03:09	ga_ls7e_ard_3-0-0_097077_2017-04-23_final
2017-04-23 10:03:33	ga_ls7e_ard_3-0-0_097078_2017-04-23_final
2017-04-23 10:03:57	ga_ls7e_ard_3-0-0_097079_2017-04-23_final
2017-04-23 10:04:21	ga_ls7e_ard_3-0-0_097080_2017-04-23_final

Return to ga_ls7e_ard_3 across April 2017 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

2017

April

All days