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
2006-05-09 11:42:52	ga_ls7e_ard_3-0-0_115079_2006-05-09_final
2009-12-11 11:43:19	ga_ls7e_ard_3-0-0_115078_2009-12-11_final
2010-03-17 11:44:57	ga_ls7e_ard_3-0-0_115079_2010-03-17_final
2010-05-04 11:44:35	ga_ls7e_ard_3-0-0_115078_2010-05-04_final
2010-10-11 11:44:44	ga_ls7e_ard_3-0-0_115078_2010-10-11_final
2020-12-02 11:06:30	ga_ls7e_ard_3-1-0_114077_2020-12-02_final
2020-12-04 09:18:43	ga_ls7e_ard_3-1-0_096086_2020-12-03_final
2020-12-10 10:14:05	ga_ls7e_ard_3-1-0_106071_2020-12-10_final
2020-12-15 10:33:02	ga_ls7e_ard_3-1-0_109073_2020-12-15_final
2020-12-15 10:34:14	ga_ls7e_ard_3-1-0_109076_2020-12-15_final
2020-12-18 11:04:54	ga_ls7e_ard_3-1-0_114076_2020-12-18_final
2020-12-22 10:40:16	ga_ls7e_ard_3-1-0_110077_2020-12-22_final
2020-12-26 10:12:53	ga_ls7e_ard_3-1-0_106071_2020-12-26_final
2020-12-28 09:59:59	ga_ls7e_ard_3-1-0_104070_2020-12-28_final
2021-01-10 09:33:23	ga_ls7e_ard_3-1-0_099083_2021-01-10_final
2021-01-10 11:10:16	ga_ls7e_ard_3-1-0_115078_2021-01-10_final
2021-01-14 10:44:04	ga_ls7e_ard_3-1-0_111075_2021-01-14_final
2021-01-16 08:52:17	ga_ls7e_ard_3-1-0_093074_2021-01-15_final
2021-01-20 08:31:40	ga_ls7e_ard_3-2-0_089085_2021-01-19_final
2021-01-20 10:07:21	ga_ls7e_ard_3-2-0_105077_2021-01-20_final
2021-01-20 10:09:21	ga_ls7e_ard_3-2-0_105082_2021-01-20_final
2021-01-21 09:15:15	ga_ls7e_ard_3-2-0_096086_2021-01-20_final
2021-02-03 10:16:42	ga_ls7e_ard_3-2-0_107072_2021-02-03_final
2021-02-06 09:11:17	ga_ls7e_ard_3-2-0_096079_2021-02-05_final
2021-02-20 10:59:53	ga_ls7e_ard_3-2-0_114075_2021-02-20_final
2021-03-02 09:56:31	ga_ls7e_ard_3-2-0_104073_2021-03-02_final
2021-03-05 10:27:11	ga_ls7e_ard_3-2-0_109073_2021-03-05_final
2021-03-07 08:36:59	ga_ls7e_ard_3-2-0_091076_2021-03-06_final
2021-03-08 09:20:34	ga_ls7e_ard_3-2-0_098077_2021-03-07_final
2021-03-09 08:26:04	ga_ls7e_ard_3-2-0_089080_2021-03-08_final
2021-03-10 09:11:14	ga_ls7e_ard_3-2-0_096085_2021-03-09_final
2021-03-14 08:45:48	ga_ls7e_ard_3-2-0_092084_2021-03-13_final
2021-03-15 09:24:12	ga_ls7e_ard_3-2-0_099072_2021-03-14_final
2021-03-16 10:08:58	ga_ls7e_ard_3-2-0_106076_2021-03-16_final
2021-03-26 10:44:27	ga_ls7e_ard_3-2-0_112074_2021-03-26_final
2021-03-27 09:47:57	ga_ls7e_ard_3-2-0_103072_2021-03-27_final
2021-04-01 08:33:59	ga_ls7e_ard_3-2-0_090089_2021-03-31_final
2021-04-03 09:53:57	ga_ls7e_ard_3-2-0_104073_2021-04-03_final
2021-04-11 10:43:08	ga_ls7e_ard_3-2-0_112074_2021-04-11_final
2021-04-15 10:21:40	ga_ls7e_ard_3-2-0_108083_2021-04-15_final
2021-04-24 08:36:14	ga_ls7e_ard_3-2-0_091084_2021-04-23_final
2021-05-01 10:16:43	ga_ls7e_ard_3-2-0_108074_2021-05-01_final
2021-05-01 10:20:18	ga_ls7e_ard_3-2-0_108083_2021-05-01_final
2021-05-04 09:11:17	ga_ls7e_ard_3-2-0_097081_2021-05-03_final
2021-05-10 08:35:18	ga_ls7e_ard_3-2-0_091085_2021-05-09_final
2021-05-10 10:08:12	ga_ls7e_ard_3-2-0_107070_2021-05-10_final
2021-05-15 08:54:13	ga_ls7e_ard_3-2-0_094087_2021-05-14_final
2021-05-18 09:23:16	ga_ls7e_ard_3-2-0_099083_2021-05-17_final
2021-05-24 08:46:52	ga_ls7e_ard_3-2-0_093086_2021-05-23_final
2021-05-31 08:52:27	ga_ls7e_ard_3-2-0_094086_2021-05-30_final
2021-06-04 10:02:41	ga_ls7e_ard_3-2-0_106077_2021-06-04_final
2021-06-19 09:20:36	ga_ls7e_ard_3-2-0_099083_2021-06-18_final
2021-06-19 09:21:00	ga_ls7e_ard_3-2-0_099084_2021-06-18_final
2021-06-27 10:09:22	ga_ls7e_ard_3-2-0_107083_2021-06-27_final
2021-07-12 09:24:51	ga_ls7e_ard_3-2-0_100083_2021-07-11_final
2021-07-20 08:34:19	ga_ls7e_ard_3-2-0_092082_2021-07-19_final
2021-07-22 08:19:48	ga_ls7e_ard_3-2-0_090077_2021-07-21_final
2021-07-29 08:29:45	ga_ls7e_ard_3-2-0_091088_2021-07-28_final
2021-08-03 08:46:39	ga_ls7e_ard_3-2-0_094085_2021-08-02_final
2021-08-11 09:28:36	ga_ls7e_ard_3-2-0_102068_2021-08-10_final
2021-08-24 10:37:50	ga_ls7e_ard_3-2-0_113074_2021-08-24_final
2021-08-30 08:25:45	ga_ls7e_ard_3-2-0_091085_2021-08-29_final
2021-08-31 09:08:32	ga_ls7e_ard_3-2-0_098084_2021-08-30_final
2021-09-08 08:15:36	ga_ls7e_ard_3-2-0_090077_2021-09-07_final
2021-09-17 09:43:54	ga_ls7e_ard_3-2-0_105068_2021-09-17_final
2021-09-22 10:04:23	ga_ls7e_ard_3-2-0_108074_2021-09-22_final
2021-09-28 09:27:10	ga_ls7e_ard_3-2-0_102075_2021-09-27_final
2021-10-01 08:20:55	ga_ls7e_ard_3-2-0_091080_2021-09-30_final
2021-10-02 08:58:54	ga_ls7e_ard_3-2-0_098067_2021-10-01_final
2021-10-03 08:07:35	ga_ls7e_ard_3-2-0_089078_2021-10-02_final
2021-10-10 08:17:09	ga_ls7e_ard_3-2-0_090088_2021-10-09_final
2021-10-11 08:57:08	ga_ls7e_ard_3-2-0_097080_2021-10-10_final
2021-10-16 09:12:02	ga_ls7e_ard_3-2-0_100072_2021-10-15_final
2021-10-17 08:17:55	ga_ls7e_ard_3-2-0_091076_2021-10-16_final
2021-10-22 10:14:05	ga_ls7e_ard_3-2-0_110074_2021-10-22_final
2021-10-24 08:27:03	ga_ls7e_ard_3-2-0_092085_2021-10-23_final
2021-10-27 08:55:17	ga_ls7e_ard_3-2-0_097079_2021-10-26_final
2021-11-02 09:53:20	ga_ls7e_ard_3-2-0_107071_2021-11-02_final
2021-11-04 09:44:46	ga_ls7e_ard_3-2-0_105081_2021-11-04_final
2021-11-25 08:25:11	ga_ls7e_ard_3-2-1_092088_2021-11-24_final
2021-11-30 10:19:45	ga_ls7e_ard_3-2-1_111082_2021-11-30_final
2021-12-02 10:03:37	ga_ls7e_ard_3-2-1_109073_2021-12-02_final
2021-12-03 09:07:54	ga_ls7e_ard_3-2-1_100073_2021-12-02_final
2021-12-12 10:41:44	ga_ls7e_ard_3-2-1_115078_2021-12-12_final
2021-12-14 10:27:36	ga_ls7e_ard_3-2-1_113074_2021-12-14_final
2021-12-22 08:02:06	ga_ls7e_ard_3-2-1_089083_2021-12-21_final
2021-12-28 09:00:30	ga_ls7e_ard_3-2-1_099076_2021-12-27_final
2021-12-28 10:39:46	ga_ls7e_ard_3-2-1_115077_2021-12-28_final
2021-12-30 08:45:33	ga_ls7e_ard_3-2-1_097070_2021-12-29_final
2022-01-14 08:05:37	ga_ls7e_ard_3-2-1_090082_2022-01-13_final
2022-01-18 09:15:01	ga_ls7e_ard_3-2-1_102071_2022-01-17_final
2022-01-18 09:15:48	ga_ls7e_ard_3-2-1_102073_2022-01-17_final
2022-01-21 08:12:20	ga_ls7e_ard_3-2-1_091085_2022-01-20_final
2022-01-24 08:36:57	ga_ls7e_ard_3-2-1_096070_2022-01-23_final
2022-02-07 08:46:43	ga_ls7e_ard_3-2-1_098067_2022-02-06_final
2022-02-12 09:11:07	ga_ls7e_ard_3-2-1_101083_2022-02-11_final
2022-02-27 08:22:25	ga_ls7e_ard_3-2-1_094073_2022-02-26_final
2022-03-11 08:43:57	ga_ls7e_ard_3-2-1_098068_2022-03-10_final
2022-03-25 08:57:20	ga_ls7e_ard_3-2-1_100074_2022-03-24_final
2022-03-25 09:01:20	ga_ls7e_ard_3-2-1_100084_2022-03-24_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