Search ga_ls7e_ard_3 across 2021

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
2021-01-05 09:11:36	ga_ls7e_ard_3-1-0_096074_2021-01-04_final
2021-01-05 09:12:00	ga_ls7e_ard_3-1-0_096075_2021-01-04_final
2021-01-05 09:12:24	ga_ls7e_ard_3-1-0_096076_2021-01-04_final
2021-01-05 09:12:47	ga_ls7e_ard_3-1-0_096077_2021-01-04_final
2021-01-05 09:13:11	ga_ls7e_ard_3-1-0_096078_2021-01-04_final
2021-01-05 09:13:35	ga_ls7e_ard_3-1-0_096079_2021-01-04_final
2021-01-05 09:13:59	ga_ls7e_ard_3-1-0_096080_2021-01-04_final
2021-01-05 09:14:23	ga_ls7e_ard_3-1-0_096081_2021-01-04_final
2021-01-05 09:14:47	ga_ls7e_ard_3-1-0_096082_2021-01-04_final
2021-01-05 09:15:11	ga_ls7e_ard_3-1-0_096083_2021-01-04_final
2021-01-05 09:15:35	ga_ls7e_ard_3-1-0_096084_2021-01-04_final
2021-01-05 09:15:59	ga_ls7e_ard_3-1-0_096085_2021-01-04_final
2021-01-05 10:50:28	ga_ls7e_ard_3-1-0_112074_2021-01-05_final
2021-01-05 10:50:52	ga_ls7e_ard_3-1-0_112075_2021-01-05_final
2021-01-05 10:51:16	ga_ls7e_ard_3-1-0_112076_2021-01-05_final
2021-01-05 10:51:40	ga_ls7e_ard_3-1-0_112077_2021-01-05_final
2021-01-05 10:52:04	ga_ls7e_ard_3-1-0_112078_2021-01-05_final
2021-01-05 10:52:28	ga_ls7e_ard_3-1-0_112079_2021-01-05_final
2021-01-05 10:52:52	ga_ls7e_ard_3-1-0_112080_2021-01-05_final
2021-01-05 10:53:16	ga_ls7e_ard_3-1-0_112081_2021-01-05_final
2021-01-05 10:53:40	ga_ls7e_ard_3-1-0_112082_2021-01-05_final
2021-01-05 10:54:04	ga_ls7e_ard_3-1-0_112083_2021-01-05_final
2021-01-05 10:54:28	ga_ls7e_ard_3-1-0_112084_2021-01-05_final
2021-01-06 09:52:23	ga_ls7e_ard_3-1-0_103068_2021-01-06_final
2021-01-06 09:52:47	ga_ls7e_ard_3-1-0_103069_2021-01-06_final
2021-01-06 09:53:11	ga_ls7e_ard_3-1-0_103070_2021-01-06_final
2021-01-06 09:53:35	ga_ls7e_ard_3-1-0_103071_2021-01-06_final
2021-01-06 09:53:59	ga_ls7e_ard_3-1-0_103072_2021-01-06_final
2021-01-06 09:54:23	ga_ls7e_ard_3-1-0_103073_2021-01-06_final
2021-01-06 09:54:47	ga_ls7e_ard_3-1-0_103074_2021-01-06_final
2021-01-06 09:55:11	ga_ls7e_ard_3-1-0_103075_2021-01-06_final
2021-01-06 09:55:35	ga_ls7e_ard_3-1-0_103076_2021-01-06_final
2021-01-06 09:55:59	ga_ls7e_ard_3-1-0_103077_2021-01-06_final
2021-01-06 09:56:23	ga_ls7e_ard_3-1-0_103078_2021-01-06_final
2021-01-06 09:56:47	ga_ls7e_ard_3-1-0_103079_2021-01-06_final
2021-01-06 09:57:11	ga_ls7e_ard_3-1-0_103080_2021-01-06_final
2021-01-06 09:57:35	ga_ls7e_ard_3-1-0_103081_2021-01-06_final
2021-01-07 09:01:29	ga_ls7e_ard_3-1-0_094080_2021-01-06_final
2021-01-07 09:01:53	ga_ls7e_ard_3-1-0_094081_2021-01-06_final
2021-01-07 09:02:17	ga_ls7e_ard_3-1-0_094082_2021-01-06_final
2021-01-07 09:02:41	ga_ls7e_ard_3-1-0_094083_2021-01-06_final
2021-01-07 09:03:05	ga_ls7e_ard_3-1-0_094084_2021-01-06_final
2021-01-07 09:03:29	ga_ls7e_ard_3-1-0_094085_2021-01-06_final
2021-01-07 09:03:53	ga_ls7e_ard_3-1-0_094086_2021-01-06_final
2021-01-07 09:04:17	ga_ls7e_ard_3-1-0_094087_2021-01-06_final
2021-01-07 10:35:11	ga_ls7e_ard_3-1-0_110067_2021-01-07_final
2021-01-07 10:36:23	ga_ls7e_ard_3-1-0_110070_2021-01-07_final
2021-01-07 10:36:47	ga_ls7e_ard_3-1-0_110071_2021-01-07_final
2021-01-07 10:37:11	ga_ls7e_ard_3-1-0_110072_2021-01-07_final
2021-01-07 10:37:34	ga_ls7e_ard_3-1-0_110073_2021-01-07_final
2021-01-07 10:37:58	ga_ls7e_ard_3-1-0_110074_2021-01-07_final
2021-01-07 10:38:22	ga_ls7e_ard_3-1-0_110075_2021-01-07_final
2021-01-07 10:38:46	ga_ls7e_ard_3-1-0_110076_2021-01-07_final
2021-01-07 10:39:10	ga_ls7e_ard_3-1-0_110077_2021-01-07_final
2021-01-07 10:39:34	ga_ls7e_ard_3-1-0_110078_2021-01-07_final
2021-01-07 10:39:58	ga_ls7e_ard_3-1-0_110079_2021-01-07_final
2021-01-07 10:40:22	ga_ls7e_ard_3-1-0_110080_2021-01-07_final
2021-01-07 10:40:46	ga_ls7e_ard_3-1-0_110081_2021-01-07_final
2021-01-07 10:41:10	ga_ls7e_ard_3-1-0_110082_2021-01-07_final
2021-01-07 10:41:34	ga_ls7e_ard_3-1-0_110083_2021-01-07_final
2021-01-07 10:41:58	ga_ls7e_ard_3-1-0_110084_2021-01-07_final
2021-01-08 09:41:05	ga_ls7e_ard_3-1-0_101071_2021-01-08_final
2021-01-08 09:41:29	ga_ls7e_ard_3-1-0_101072_2021-01-08_final
2021-01-08 09:41:53	ga_ls7e_ard_3-1-0_101073_2021-01-08_final
2021-01-08 09:42:17	ga_ls7e_ard_3-1-0_101074_2021-01-08_final
2021-01-08 09:42:41	ga_ls7e_ard_3-1-0_101075_2021-01-08_final
2021-01-08 09:43:05	ga_ls7e_ard_3-1-0_101076_2021-01-08_final
2021-01-08 09:43:29	ga_ls7e_ard_3-1-0_101077_2021-01-08_final
2021-01-08 09:43:53	ga_ls7e_ard_3-1-0_101078_2021-01-08_final
2021-01-08 09:44:17	ga_ls7e_ard_3-1-0_101079_2021-01-08_final
2021-01-08 09:44:41	ga_ls7e_ard_3-1-0_101080_2021-01-08_final
2021-01-08 09:45:05	ga_ls7e_ard_3-1-0_101081_2021-01-08_final
2021-01-08 09:45:29	ga_ls7e_ard_3-1-0_101082_2021-01-08_final
2021-01-08 09:45:53	ga_ls7e_ard_3-1-0_101083_2021-01-08_final
2021-01-09 08:48:35	ga_ls7e_ard_3-1-0_092079_2021-01-08_final
2021-01-09 08:48:59	ga_ls7e_ard_3-1-0_092080_2021-01-08_final
2021-01-09 08:49:23	ga_ls7e_ard_3-1-0_092081_2021-01-08_final
2021-01-09 08:49:47	ga_ls7e_ard_3-1-0_092082_2021-01-08_final
2021-01-09 08:50:11	ga_ls7e_ard_3-1-0_092083_2021-01-08_final
2021-01-09 08:50:35	ga_ls7e_ard_3-1-0_092084_2021-01-08_final
2021-01-09 08:50:59	ga_ls7e_ard_3-1-0_092085_2021-01-08_final
2021-01-09 08:51:23	ga_ls7e_ard_3-1-0_092086_2021-01-08_final
2021-01-09 08:51:47	ga_ls7e_ard_3-1-0_092087_2021-01-08_final
2021-01-09 08:52:11	ga_ls7e_ard_3-1-0_092088_2021-01-08_final
2021-01-09 08:52:35	ga_ls7e_ard_3-1-0_092089_2021-01-08_final
2021-01-09 10:23:29	ga_ls7e_ard_3-1-0_108069_2021-01-09_final
2021-01-09 10:23:53	ga_ls7e_ard_3-1-0_108070_2021-01-09_final
2021-01-09 10:24:17	ga_ls7e_ard_3-1-0_108071_2021-01-09_final
2021-01-09 10:24:41	ga_ls7e_ard_3-1-0_108072_2021-01-09_final
2021-01-09 10:25:04	ga_ls7e_ard_3-1-0_108073_2021-01-09_final
2021-01-09 10:25:28	ga_ls7e_ard_3-1-0_108074_2021-01-09_final
2021-01-09 10:25:52	ga_ls7e_ard_3-1-0_108075_2021-01-09_final
2021-01-09 10:26:16	ga_ls7e_ard_3-1-0_108076_2021-01-09_final
2021-01-09 10:26:40	ga_ls7e_ard_3-1-0_108077_2021-01-09_final
2021-01-09 10:27:04	ga_ls7e_ard_3-1-0_108078_2021-01-09_final
2021-01-09 10:27:28	ga_ls7e_ard_3-1-0_108079_2021-01-09_final
2021-01-09 10:27:52	ga_ls7e_ard_3-1-0_108080_2021-01-09_final
2021-01-09 10:28:16	ga_ls7e_ard_3-1-0_108081_2021-01-09_final
2021-01-09 10:28:40	ga_ls7e_ard_3-1-0_108082_2021-01-09_final
2021-01-09 10:29:04	ga_ls7e_ard_3-1-0_108083_2021-01-09_final

Return to ga_ls7e_ard_3 across 2021 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

2021

All months