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
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50JMR_2015-10-28_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50JMS_2015-10-28_final.stac-item
2015-11-27 12:03:46	ga_s2am_ard_3-2-1_50KMV_2015-11-27_final.stac-item
2015-11-27 12:04:40	ga_s2am_ard_3-2-1_50JMS_2015-11-27_final.stac-item
2015-11-27 12:04:51	ga_s2am_ard_3-2-1_50JLS_2015-11-27_final.stac-item
2015-11-27 12:04:51	ga_s2am_ard_3-2-1_50JMR_2015-11-27_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JLT_2015-12-17_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50KNA_2015-12-17_final.stac-item
2015-12-24 11:56:44	ga_s2am_ard_3-2-1_50HLK_2015-12-24_final.stac-item
2015-12-24 11:56:44	ga_s2am_ard_3-2-1_50JML_2015-12-24_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JPR_2016-01-03_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JQT_2016-01-03_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_50JLS_2016-01-06_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_50JLS_2016-01-26_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JNN_2016-02-02_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JLS_2016-02-05_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JLS_2016-02-15_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50KNB_2016-02-15_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JNP_2016-03-03_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_50JLR_2016-03-06_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50KPA_2016-04-02_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50KQB_2016-04-02_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50KQV_2016-04-02_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JLR_2016-04-15_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50KMA_2016-04-15_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50KMV_2016-04-15_final.stac-item
2016-04-15 12:05:35	ga_s2am_ard_3-2-1_50JLM_2016-04-15_final.stac-item
2016-04-25 12:03:51	ga_s2am_ard_3-2-1_50KLV_2016-04-25_final.stac-item
2016-05-06 11:36:08	ga_s2am_ard_3-2-1_51HTE_2016-05-06_final.stac-item
2016-05-08 12:13:49	ga_s2am_ard_3-2-1_49KHQ_2016-05-08_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51HVD_2016-05-16_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51HVE_2016-05-16_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_50KKV_2016-05-18_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JPP_2016-05-22_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_50KKU_2016-06-07_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_50JLR_2016-06-14_final.stac-item
2016-08-14 11:36:06	ga_s2am_ard_3-2-1_51HTE_2016-08-14_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49KGQ_2016-11-14_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49KHQ_2016-11-14_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JLR_2016-12-11_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50JLQ_2017-01-20_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50KLV_2017-01-20_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50KNA_2017-01-20_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50JQM_2017-01-24_final
2017-01-27 11:56:19	ga_s2am_ard_3-2-1_50JLL_2017-01-27_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JLS_2017-01-30_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_50KNA_2017-02-19_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_50KNB_2017-02-19_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_50KKV_2017-02-22_final
2017-03-02 11:35:57	ga_s2am_ard_3-2-1_50HQK_2017-03-02_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_50KNB_2017-03-31_final.stac-item
2017-04-10 12:03:46	ga_s2am_ard_3-2-1_49KHQ_2017-04-10_final
2017-04-10 12:03:46	ga_s2am_ard_3-2-1_50KMA_2017-04-10_final
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50KPF_2017-04-27_final.stac-item
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49KHQ_2017-08-01_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_50KNA_2017-08-18_final
2017-09-17 12:03:44	ga_s2am_ard_3-2-1_50KLA_2017-09-17_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KHP_2017-09-30_final
2019-01-30 12:04:45	ga_s2am_ard_3-2-1_50JMS_2019-01-30_final
2019-01-30 12:04:55	ga_s2am_ard_3-2-1_50JMR_2019-01-30_final
2019-02-27 11:26:33	ga_s2am_ard_3-2-1_51HVE_2019-02-27_final
2019-03-11 12:03:59	ga_s2am_ard_3-2-1_50KMV_2019-03-11_final
2019-03-12 11:36:29	ga_s2am_ard_3-2-1_51HVD_2019-03-12_final
2019-03-22 11:36:32	ga_s2am_ard_3-2-1_51HVD_2019-03-22_final
2019-05-11 11:36:37	ga_s2am_ard_3-2-1_51HVD_2019-05-11_final
2019-06-16 11:52:41	ga_s2am_ard_3-2-1_50KPF_2019-06-16_final.stac-item
2019-07-13 11:47:19	ga_s2am_ard_3-2-1_50HLH_2019-07-13_final
2019-07-29 12:03:57	ga_s2am_ard_3-2-1_50KMA_2019-07-29_final
2019-08-01 12:14:23	ga_s2am_ard_3-2-1_50KKU_2019-08-01_final
2019-08-15 11:52:41	ga_s2am_ard_3-2-1_50KPF_2019-08-15_final.stac-item
2019-08-25 11:52:39	ga_s2am_ard_3-2-1_50KPF_2019-08-25_final.stac-item
2019-11-29 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2019-11-29_final
2019-11-29 12:14:20	ga_s2am_ard_3-2-1_49KHP_2019-11-29_final
2019-12-16 12:05:03	ga_s2am_ard_3-2-1_50JLR_2019-12-16_final
2020-01-02 11:52:33	ga_s2am_ard_3-2-1_50KPF_2020-01-02_final.stac-item
2020-02-21 11:52:32	ga_s2am_ard_3-2-1_50KPF_2020-02-21_final.stac-item
2020-07-26 12:14:13	ga_s2am_ard_3-2-1_50KKV_2020-07-26_final
2020-08-29 11:53:49	ga_s2am_ard_3-2-1_50KPA_2020-08-29_final
2020-09-01 12:03:31	ga_s2am_ard_3-2-1_50KLC_2020-09-01_final
2020-09-01 12:03:38	ga_s2am_ard_3-2-1_50KNB_2020-09-01_final
2020-09-04 12:14:25	ga_s2am_ard_3-2-1_49KHP_2020-09-04_final
2020-09-21 12:04:53	ga_s2am_ard_3-2-1_50JMS_2020-09-21_final
2020-10-01 12:05:04	ga_s2am_ard_3-2-1_50JMR_2020-10-01_final
2020-10-04 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2020-10-04_final
2020-10-05 11:46:06	ga_s2am_ard_3-2-1_50JQM_2020-10-05_final
2021-01-29 12:04:49	ga_s2am_ard_3-2-1_50JMS_2021-01-29_final
2021-08-24 11:57:08	ga_s2am_ard_3-2-1_50HMH_2021-08-24_final
2021-10-16 12:05:14	ga_s2am_ard_3-2-1_49JFM_2021-10-16_final
2022-03-09 11:46:57	ga_s2am_ard_3-2-1_50HQH_2022-03-09_final
2022-03-09 11:47:25	ga_s2am_ard_3-2-1_50HMG_2022-03-09_final.stac-item
2022-12-17 11:55:25	ga_s2am_ard_3-2-1_50JPP_2022-12-17_final.stac-item
2023-02-12 11:46:51	ga_s2am_ard_3-2-1_50HQH_2023-02-12_final.stac-item
2023-07-15 11:57:11	ga_s2am_ard_3-2-1_50HMH_2023-07-15_final.stac-item
2023-12-05 12:04:00	ga_s2am_ard_3-2-1_50KMV_2023-12-05_final.stac-item
2023-12-05 12:04:42	ga_s2am_ard_3-2-1_50JMS_2023-12-05_final.stac-item
2023-12-12 11:55:11	ga_s2am_ard_3-2-1_50JPQ_2023-12-12_final.stac-item
2024-03-27 12:14:08	ga_s2am_ard_3-2-1_50KKV_2024-03-27_final.stac-item
2024-03-27 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2024-03-27_final.stac-item
2024-03-27 12:14:21	ga_s2am_ard_3-2-1_49KHP_2024-03-27_final.stac-item
2024-04-03 12:03:31	ga_s2am_ard_3-2-1_50KNB_2024-04-03_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

All years