Search ga_s2am_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 (e.g. ‘epsg:32654’) :

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):

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:

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 Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-09-23 11:13:12	ga_s2am_ard_3-2-1_52KEU_2015-09-23_final.stac-item
2015-10-03 11:13:11	ga_s2am_ard_3-2-1_52KEU_2015-10-03_final.stac-item
2015-11-22 11:12:12	ga_s2am_ard_3-2-1_52KDU_2015-11-22_final.stac-item
2015-11-26 10:52:15	ga_s2am_ard_3-2-1_53KLP_2015-11-26_final.stac-item
2015-11-29 10:57:18	ga_s2am_ard_3-2-1_52JFN_2015-11-29_final.stac-item
2015-11-30 10:30:39	ga_s2am_ard_3-2-1_53JMH_2015-11-30_final.stac-item
2015-12-03 10:41:05	ga_s2am_ard_3-2-1_53JLH_2015-12-03_final.stac-item
2015-12-03 10:41:05	ga_s2am_ard_3-2-1_53JMG_2015-12-03_final.stac-item
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_51KXP_2015-12-08_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JLS_2015-12-17_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JMT_2015-12-17_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50JQM_2015-12-21_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_51JUL_2015-12-21_final.stac-item
2015-12-22 11:14:14	ga_s2am_ard_3-2-1_51JZN_2015-12-22_final.stac-item
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_51JXF_2015-12-25_final.stac-item
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_51JXG_2015-12-25_final.stac-item
2015-12-29 11:06:56	ga_s2am_ard_3-2-1_52JFN_2015-12-29_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_50KKV_2015-12-30_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2016-01-06_final.stac-item
2016-01-08 11:03:33	ga_s2am_ard_3-2-1_53KKR_2016-01-08_final.stac-item
2016-01-15 10:56:39	ga_s2am_ard_3-2-1_53JLH_2016-01-15_final.stac-item
2016-01-15 10:56:39	ga_s2am_ard_3-2-1_53JLJ_2016-01-15_final.stac-item
2016-01-15 10:56:39	ga_s2am_ard_3-2-1_53JLK_2016-01-15_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50JMS_2016-01-16_final.stac-item
2016-01-22 10:44:08	ga_s2am_ard_3-2-1_53KLP_2016-01-22_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51JXF_2016-01-24_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51JXG_2016-01-24_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51JXH_2016-01-24_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_50JMS_2016-01-26_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_51HVD_2016-02-06_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49KHP_2016-02-08_final.stac-item
2016-02-10 11:11:39	ga_s2am_ard_3-2-1_52JDQ_2016-02-10_final.stac-item
2016-02-14 10:47:44	ga_s2am_ard_3-2-1_53JKH_2016-02-14_final.stac-item
2016-02-14 10:47:44	ga_s2am_ard_3-2-1_53JLL_2016-02-14_final.stac-item
2016-02-14 10:47:44	ga_s2am_ard_3-2-1_53JLN_2016-02-14_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JMR_2016-02-15_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JMS_2016-02-15_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JPQ_2016-03-03_final.stac-item
2016-03-05 10:52:12	ga_s2am_ard_3-2-1_53JLN_2016-03-05_final.stac-item
2016-03-07 11:25:48	ga_s2am_ard_3-2-1_51KYT_2016-03-07_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51JXN_2016-03-07_final.stac-item
2016-03-18 11:02:07	ga_s2am_ard_3-2-1_52KHA_2016-03-18_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52KHV_2016-03-28_final.stac-item
2016-04-06 11:25:50	ga_s2am_ard_3-2-1_51KZB_2016-04-06_final.stac-item
2016-04-10 11:07:07	ga_s2am_ard_3-2-1_52KEU_2016-04-10_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51JXF_2016-04-23_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51JYH_2016-04-23_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_52KDG_2016-04-23_final.stac-item
2016-04-24 10:52:19	ga_s2am_ard_3-2-1_53JLN_2016-04-24_final.stac-item
2016-04-27 11:01:40	ga_s2am_ard_3-2-1_52KHA_2016-04-27_final.stac-item
2016-05-03 11:17:04	ga_s2am_ard_3-2-1_52KDF_2016-05-03_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51JXF_2016-05-03_final.stac-item
2016-05-04 10:52:08	ga_s2am_ard_3-2-1_53JLK_2016-05-04_final.stac-item
2016-05-06 11:36:08	ga_s2am_ard_3-2-1_51JUG_2016-05-06_final.stac-item
2016-05-11 10:45:26	ga_s2am_ard_3-2-1_53JMH_2016-05-11_final.stac-item
2016-05-27 11:02:16	ga_s2am_ard_3-2-1_52KHA_2016-05-27_final.stac-item
2016-05-27 11:02:16	ga_s2am_ard_3-2-1_53KKR_2016-05-27_final.stac-item
2016-06-06 10:58:03	ga_s2am_ard_3-2-1_52KHA_2016-06-06_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_50JMS_2016-06-14_final.stac-item
2016-06-22 11:26:10	ga_s2am_ard_3-2-1_51JXF_2016-06-22_final.stac-item
2016-07-19 11:12:19	ga_s2am_ard_3-2-1_52KCF_2016-07-19_final.stac-item
2016-11-18 11:43:43	ga_s2am_ard_3-2-1_50KPF_2016-11-18_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50KPF_2016-11-28_final.stac-item
2016-12-10 10:47:57	ga_s2am_ard_3-2-1_53JLN_2016-12-10_final
2016-12-10 10:47:57	ga_s2am_ard_3-2-1_53KLP_2016-12-10_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_51JXG_2017-01-25_final
2017-03-01 12:03:41	ga_s2am_ard_3-2-1_50KLV_2017-03-01_final
2017-03-01 12:03:41	ga_s2am_ard_3-2-1_50KMV_2017-03-01_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_50KKV_2017-03-14_final
2017-04-10 12:03:46	ga_s2am_ard_3-2-1_50KLA_2017-04-10_final
2017-04-10 12:03:46	ga_s2am_ard_3-2-1_50KMV_2017-04-10_final
2017-05-02 11:02:13	ga_s2am_ard_3-2-1_52KHA_2017-05-02_final
2017-05-09 10:52:19	ga_s2am_ard_3-2-1_53JLN_2017-05-09_final
2017-05-28 11:26:12	ga_s2am_ard_3-2-1_51JXF_2017-05-28_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_51LWG_2017-08-12_final.stac-item
2017-09-02 11:12:01	ga_s2am_ard_3-2-1_52JET_2017-09-02_final
2019-01-13 12:14:17	ga_s2am_ard_3-2-1_49KHP_2019-01-13_final
2019-01-28 11:26:04	ga_s2am_ard_3-2-1_51JXF_2019-01-28_final
2019-01-28 11:26:18	ga_s2am_ard_3-2-1_51HXE_2019-01-28_final
2019-01-29 10:53:51	ga_s2am_ard_3-2-1_53KLP_2019-01-29_final
2019-01-29 10:54:49	ga_s2am_ard_3-2-1_53JLK_2019-01-29_final
2019-02-01 11:05:35	ga_s2am_ard_3-2-1_52JFM_2019-02-01_final
2019-02-05 10:45:29	ga_s2am_ard_3-2-1_53JNG_2019-02-05_final
2019-02-22 12:14:17	ga_s2am_ard_3-2-1_49KHP_2019-02-22_final
2019-02-27 11:25:48	ga_s2am_ard_3-2-1_51JXG_2019-02-27_final
2019-02-27 11:26:03	ga_s2am_ard_3-2-1_51JXF_2019-02-27_final
2019-03-03 11:05:33	ga_s2am_ard_3-2-1_52JFM_2019-03-03_final
2019-04-09 10:55:17	ga_s2am_ard_3-2-1_53JLH_2019-04-09_final
2019-08-01 12:14:26	ga_s2am_ard_3-2-1_49KHP_2019-08-01_final
2019-10-19 11:06:01	ga_s2am_ard_3-2-1_52JCL_2019-10-19_final
2020-09-03 11:05:43	ga_s2am_ard_3-2-1_52JFM_2020-09-03_final
2020-09-08 11:52:41	ga_s2am_ard_3-2-1_50KPF_2020-09-08_final.stac-item
2020-09-10 10:55:19	ga_s2am_ard_3-2-1_53JLH_2020-09-10_final
2020-09-20 10:54:57	ga_s2am_ard_3-2-1_53JLK_2020-09-20_final
2020-09-23 11:05:42	ga_s2am_ard_3-2-1_52JCN_2020-09-23_final
2021-04-10 11:37:13	ga_s2am_ard_3-2-1_50HQG_2021-04-10_final.stac-item
2021-10-28 11:05:47	ga_s2am_ard_3-2-1_52JCN_2021-10-28_final
2022-08-16 11:41:31	ga_s2am_ard_3-2-1_51LUF_2022-08-16_final
2024-01-10 10:45:28	ga_s2am_ard_3-2-1_53JLH_2024-01-10_final.stac-item
2024-02-22 10:55:13	ga_s2am_ard_3-2-1_53JLH_2024-02-22_final.stac-item

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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