Search ga_ls7e_ard_3 whole collection

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
2020-06-11 09:27:17	ga_ls7e_ard_3-1-0_096079_2020-06-10_final
2020-06-13 09:12:49	ga_ls7e_ard_3-1-0_094074_2020-06-12_final
2020-06-13 09:13:13	ga_ls7e_ard_3-1-0_094075_2020-06-12_final
2020-06-13 09:13:37	ga_ls7e_ard_3-1-0_094076_2020-06-12_final
2020-06-13 09:14:25	ga_ls7e_ard_3-1-0_094078_2020-06-12_final
2020-06-13 09:14:49	ga_ls7e_ard_3-1-0_094079_2020-06-12_final
2020-06-13 09:15:13	ga_ls7e_ard_3-1-0_094080_2020-06-12_final
2020-06-13 09:16:25	ga_ls7e_ard_3-1-0_094083_2020-06-12_final
2020-06-13 09:16:48	ga_ls7e_ard_3-1-0_094084_2020-06-12_final
2020-06-13 09:17:36	ga_ls7e_ard_3-1-0_094086_2020-06-12_final
2020-06-15 09:02:44	ga_ls7e_ard_3-1-0_092080_2020-06-14_final
2020-06-15 09:03:08	ga_ls7e_ard_3-1-0_092081_2020-06-14_final
2020-06-15 09:03:32	ga_ls7e_ard_3-1-0_092082_2020-06-14_final
2020-06-15 09:03:56	ga_ls7e_ard_3-1-0_092083_2020-06-14_final
2020-06-15 09:04:44	ga_ls7e_ard_3-1-0_092085_2020-06-14_final
2020-06-15 09:05:08	ga_ls7e_ard_3-1-0_092086_2020-06-14_final
2020-06-22 09:06:06	ga_ls7e_ard_3-1-0_093074_2020-06-21_final
2020-06-22 09:06:30	ga_ls7e_ard_3-1-0_093075_2020-06-21_final
2020-06-22 09:06:54	ga_ls7e_ard_3-1-0_093076_2020-06-21_final
2020-06-22 09:07:18	ga_ls7e_ard_3-1-0_093077_2020-06-21_final
2020-06-22 09:07:42	ga_ls7e_ard_3-1-0_093078_2020-06-21_final
2020-06-22 09:08:06	ga_ls7e_ard_3-1-0_093079_2020-06-21_final
2020-06-22 09:08:30	ga_ls7e_ard_3-1-0_093080_2020-06-21_final
2020-06-22 09:08:54	ga_ls7e_ard_3-1-0_093081_2020-06-21_final
2020-06-22 09:09:18	ga_ls7e_ard_3-1-0_093082_2020-06-21_final
2020-06-22 09:10:30	ga_ls7e_ard_3-1-0_093085_2020-06-21_final
2020-06-22 09:10:54	ga_ls7e_ard_3-1-0_093086_2020-06-21_final
2020-06-29 09:11:28	ga_ls7e_ard_3-1-0_094073_2020-06-28_final
2020-06-29 09:11:52	ga_ls7e_ard_3-1-0_094074_2020-06-28_final
2020-06-29 09:12:16	ga_ls7e_ard_3-1-0_094075_2020-06-28_final
2020-06-29 09:12:40	ga_ls7e_ard_3-1-0_094076_2020-06-28_final
2020-06-29 09:13:04	ga_ls7e_ard_3-1-0_094077_2020-06-28_final
2020-06-29 09:13:28	ga_ls7e_ard_3-1-0_094078_2020-06-28_final
2020-06-29 09:13:52	ga_ls7e_ard_3-1-0_094079_2020-06-28_final
2020-06-29 09:14:16	ga_ls7e_ard_3-1-0_094080_2020-06-28_final
2020-06-29 09:15:28	ga_ls7e_ard_3-1-0_094083_2020-06-28_final
2020-06-29 09:15:52	ga_ls7e_ard_3-1-0_094084_2020-06-28_final
2020-07-01 09:01:47	ga_ls7e_ard_3-1-0_092080_2020-06-30_final
2020-07-01 09:02:11	ga_ls7e_ard_3-1-0_092081_2020-06-30_final
2020-07-01 09:02:35	ga_ls7e_ard_3-1-0_092082_2020-06-30_final
2020-07-01 09:02:59	ga_ls7e_ard_3-1-0_092083_2020-06-30_final
2020-07-01 09:03:23	ga_ls7e_ard_3-1-0_092084_2020-06-30_final
2020-07-01 09:03:47	ga_ls7e_ard_3-1-0_092085_2020-06-30_final
2020-07-08 09:05:09	ga_ls7e_ard_3-1-0_093074_2020-07-07_final
2020-07-08 09:05:33	ga_ls7e_ard_3-1-0_093075_2020-07-07_final
2020-07-08 09:05:57	ga_ls7e_ard_3-1-0_093076_2020-07-07_final
2020-07-08 09:06:21	ga_ls7e_ard_3-1-0_093077_2020-07-07_final
2020-07-08 09:06:45	ga_ls7e_ard_3-1-0_093078_2020-07-07_final
2020-07-08 09:07:09	ga_ls7e_ard_3-1-0_093079_2020-07-07_final
2020-07-08 09:07:33	ga_ls7e_ard_3-1-0_093080_2020-07-07_final
2020-07-08 09:07:57	ga_ls7e_ard_3-1-0_093081_2020-07-07_final
2020-07-08 09:08:21	ga_ls7e_ard_3-1-0_093082_2020-07-07_final
2020-07-08 09:08:44	ga_ls7e_ard_3-1-0_093083_2020-07-07_final
2020-07-08 09:09:08	ga_ls7e_ard_3-1-0_093084_2020-07-07_final
2020-07-08 09:09:32	ga_ls7e_ard_3-1-0_093085_2020-07-07_final
2020-07-08 09:09:56	ga_ls7e_ard_3-1-0_093086_2020-07-07_final
2020-07-08 09:10:20	ga_ls7e_ard_3-1-0_093087_2020-07-07_final
2020-07-08 09:10:44	ga_ls7e_ard_3-1-0_093088_2020-07-07_final
2020-07-13 09:23:23	ga_ls7e_ard_3-1-0_096074_2020-07-12_final
2020-07-15 09:10:30	ga_ls7e_ard_3-1-0_094073_2020-07-14_final
2020-07-15 09:10:54	ga_ls7e_ard_3-1-0_094074_2020-07-14_final
2020-07-15 09:11:18	ga_ls7e_ard_3-1-0_094075_2020-07-14_final
2020-07-15 09:11:42	ga_ls7e_ard_3-1-0_094076_2020-07-14_final
2020-07-15 09:12:06	ga_ls7e_ard_3-1-0_094077_2020-07-14_final
2020-07-15 09:12:30	ga_ls7e_ard_3-1-0_094078_2020-07-14_final
2020-07-15 09:12:54	ga_ls7e_ard_3-1-0_094079_2020-07-14_final
2020-07-15 09:13:18	ga_ls7e_ard_3-1-0_094080_2020-07-14_final
2020-07-15 09:14:30	ga_ls7e_ard_3-1-0_094083_2020-07-14_final
2020-07-15 09:14:54	ga_ls7e_ard_3-1-0_094084_2020-07-14_final
2020-07-15 09:15:42	ga_ls7e_ard_3-1-0_094086_2020-07-14_final
2020-07-17 09:00:25	ga_ls7e_ard_3-1-0_092079_2020-07-16_final
2020-07-17 09:00:49	ga_ls7e_ard_3-1-0_092080_2020-07-16_final
2020-07-17 09:01:13	ga_ls7e_ard_3-1-0_092081_2020-07-16_final
2020-07-17 09:01:37	ga_ls7e_ard_3-1-0_092082_2020-07-16_final
2020-07-17 09:02:01	ga_ls7e_ard_3-1-0_092083_2020-07-16_final
2020-07-17 09:02:25	ga_ls7e_ard_3-1-0_092084_2020-07-16_final
2020-07-17 09:02:49	ga_ls7e_ard_3-1-0_092085_2020-07-16_final
2020-07-17 09:03:13	ga_ls7e_ard_3-1-0_092086_2020-07-16_final
2020-07-17 09:03:37	ga_ls7e_ard_3-1-0_092087_2020-07-16_final
2020-07-17 09:04:01	ga_ls7e_ard_3-1-0_092088_2020-07-16_final
2020-07-17 09:04:24	ga_ls7e_ard_3-1-0_092089_2020-07-16_final
2020-07-31 09:07:07	ga_ls7e_ard_3-1-0_094067_2020-07-30_final
2020-07-31 09:09:31	ga_ls7e_ard_3-1-0_094073_2020-07-30_final
2020-07-31 09:09:55	ga_ls7e_ard_3-1-0_094074_2020-07-30_final
2020-07-31 09:10:19	ga_ls7e_ard_3-1-0_094075_2020-07-30_final
2020-07-31 09:11:07	ga_ls7e_ard_3-1-0_094077_2020-07-30_final
2020-07-31 09:11:55	ga_ls7e_ard_3-1-0_094079_2020-07-30_final
2020-07-31 09:12:18	ga_ls7e_ard_3-1-0_094080_2020-07-30_final
2020-07-31 09:13:30	ga_ls7e_ard_3-1-0_094083_2020-07-30_final
2020-07-31 09:13:54	ga_ls7e_ard_3-1-0_094084_2020-07-30_final
2020-07-31 09:14:42	ga_ls7e_ard_3-1-0_094086_2020-07-30_final
2020-08-02 08:59:49	ga_ls7e_ard_3-1-0_092080_2020-08-01_final
2020-08-02 09:00:13	ga_ls7e_ard_3-1-0_092081_2020-08-01_final
2020-08-02 09:00:37	ga_ls7e_ard_3-1-0_092082_2020-08-01_final
2020-08-02 09:01:01	ga_ls7e_ard_3-1-0_092083_2020-08-01_final
2020-08-02 09:01:25	ga_ls7e_ard_3-1-0_092084_2020-08-01_final
2020-08-02 09:01:49	ga_ls7e_ard_3-1-0_092085_2020-08-01_final
2020-08-02 09:02:13	ga_ls7e_ard_3-1-0_092086_2020-08-01_final
2020-08-02 09:02:37	ga_ls7e_ard_3-1-0_092087_2020-08-01_final
2020-08-02 09:03:01	ga_ls7e_ard_3-1-0_092088_2020-08-01_final

Return to ga_ls7e_ard_3 whole collection 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

All years