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
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50JNR_2015-11-14_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JLM_2015-12-04_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JMM_2015-12-04_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JMT_2016-01-03_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49JHN_2016-05-15_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JKT_2016-05-15_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49JGH_2016-06-04_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50JPL_2016-07-08_final.stac-item
2016-07-17 12:13:25	ga_s2am_ard_3-2-1_49KGQ_2016-07-17_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JNS_2016-07-21_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50JMT_2016-11-18_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_50JLT_2016-11-21_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50JNS_2016-11-28_final.stac-item
2016-12-08 11:44:46	ga_s2am_ard_3-2-1_50JMQ_2016-12-08_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_50JLT_2016-12-31_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JLN_2017-12-03_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JMQ_2017-12-03_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JMS_2017-12-03_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49JHN_2017-12-16_final
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_50HQG_2018-04-16_final.stac-item
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49JGK_2018-06-04_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50JKT_2018-06-04_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JPP_2018-06-18_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JPQ_2018-06-18_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50JMT_2018-10-09_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-11-01_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_50JKR_2018-11-01_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_50HQJ_2018-11-02_final
2018-12-05 11:47:16	ga_s2am_ard_3-2-1_50HMG_2018-12-05_final.stac-item
2018-12-08 11:54:32	ga_s2am_ard_3-2-1_50JMT_2018-12-08_final
2018-12-15 11:46:58	ga_s2am_ard_3-2-1_50HNH_2018-12-15_final
2018-12-18 11:54:32	ga_s2am_ard_3-2-1_50JMT_2018-12-18_final
2019-01-14 11:45:17	ga_s2am_ard_3-2-1_50JPQ_2019-01-14_final
2019-01-20 12:04:24	ga_s2am_ard_3-2-1_49KHP_2019-01-20_final
2019-03-05 11:45:45	ga_s2am_ard_3-2-1_50JPN_2019-03-05_final
2019-03-21 12:04:37	ga_s2am_ard_3-2-1_50JLT_2019-03-21_final
2019-04-07 11:54:56	ga_s2am_ard_3-2-1_50JMS_2019-04-07_final
2019-04-14 11:45:52	ga_s2am_ard_3-2-1_50JPN_2019-04-14_final
2019-06-16 11:54:40	ga_s2am_ard_3-2-1_50JNT_2019-06-16_final
2019-06-26 11:54:41	ga_s2am_ard_3-2-1_50JNT_2019-06-26_final
2019-07-06 11:54:42	ga_s2am_ard_3-2-1_50JNT_2019-07-06_final
2019-07-26 11:56:27	ga_s2am_ard_3-2-1_50JML_2019-07-26_final
2019-08-15 11:54:40	ga_s2am_ard_3-2-1_50JNT_2019-08-15_final
2019-10-17 12:04:42	ga_s2am_ard_3-2-1_50JLT_2019-10-17_final
2019-10-24 11:54:44	ga_s2am_ard_3-2-1_50JMT_2019-10-24_final
2019-11-03 11:54:43	ga_s2am_ard_3-2-1_50JMT_2019-11-03_final
2019-11-03 11:54:54	ga_s2am_ard_3-2-1_50JNS_2019-11-03_final
2020-02-11 11:54:59	ga_s2am_ard_3-2-1_50JNR_2020-02-11_final
2020-02-21 11:56:16	ga_s2am_ard_3-2-1_50JML_2020-02-21_final
2020-04-05 11:36:30	ga_s2am_ard_3-2-1_50HQK_2020-04-05_final
2020-04-05 11:36:59	ga_s2am_ard_3-2-1_50HQH_2020-04-05_final
2020-08-22 12:05:17	ga_s2am_ard_3-2-1_50JKR_2020-08-22_final
2020-08-22 12:05:32	ga_s2am_ard_3-2-1_50JKQ_2020-08-22_final
2020-08-22 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-08-22_final
2020-10-11 12:04:48	ga_s2am_ard_3-2-1_50JKT_2020-10-11_final
2020-10-31 12:04:47	ga_s2am_ard_3-2-1_49JHN_2020-10-31_final
2020-11-07 11:54:45	ga_s2am_ard_3-2-1_50JMT_2020-11-07_final
2020-11-17 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2020-11-17_final
2020-12-11 11:36:30	ga_s2am_ard_3-2-1_50HQK_2020-12-11_final
2020-12-11 11:36:45	ga_s2am_ard_3-2-1_50HQJ_2020-12-11_final
2021-04-09 12:04:52	ga_s2am_ard_3-2-1_49JHM_2021-04-09_final
2021-05-03 11:45:30	ga_s2am_ard_3-2-1_50JQP_2021-05-03_final
2021-05-23 11:45:33	ga_s2am_ard_3-2-1_50JQP_2021-05-23_final
2021-05-23 11:45:51	ga_s2am_ard_3-2-1_50JPN_2021-05-23_final
2021-06-08 12:05:56	ga_s2am_ard_3-2-1_50JKN_2021-06-08_final
2021-06-09 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-06-09_final
2021-10-23 11:54:42	ga_s2am_ard_3-2-1_50JNT_2021-10-23_final
2021-10-27 11:37:22	ga_s2am_ard_3-2-1_50HQG_2021-10-27_final.stac-item
2021-11-02 11:54:45	ga_s2am_ard_3-2-1_50JMT_2021-11-02_final
2022-03-19 11:46:55	ga_s2am_ard_3-2-1_50HNJ_2022-03-19_final
2022-03-25 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2022-03-25_final
2022-03-25 12:06:01	ga_s2am_ard_3-2-1_49JGH_2022-03-25_final.stac-item
2022-03-28 12:15:02	ga_s2am_ard_3-2-1_49JFM_2022-03-28_final
2022-04-01 11:55:12	ga_s2am_ard_3-2-1_50JMR_2022-04-01_final
2022-04-01 11:55:41	ga_s2am_ard_3-2-1_50JMP_2022-04-01_final
2022-04-01 11:56:10	ga_s2am_ard_3-2-1_50JMM_2022-04-01_final
2022-05-11 11:56:29	ga_s2am_ard_3-2-1_50JLL_2022-05-11_final
2022-05-11 11:56:44	ga_s2am_ard_3-2-1_50HLK_2022-05-11_final
2022-07-17 11:47:19	ga_s2am_ard_3-2-1_50HNH_2022-07-17_final
2022-07-30 11:55:01	ga_s2am_ard_3-2-1_50JNS_2022-07-30_final
2022-09-08 11:55:06	ga_s2am_ard_3-2-1_50JMS_2022-09-08_final.stac-item
2023-01-19 12:04:37	ga_s2am_ard_3-2-1_50JKT_2023-01-19_final.stac-item
2023-03-24 11:46:18	ga_s2am_ard_3-2-1_50JPL_2023-03-24_final.stac-item
2023-03-30 12:04:40	ga_s2am_ard_3-2-1_49JHN_2023-03-30_final.stac-item
2023-04-22 12:13:43	ga_s2am_ard_3-2-1_49KGS_2023-04-22_nrt.stac-item
2023-05-30 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2023-05-30_final.stac-item
2023-06-18 12:05:45	ga_s2am_ard_3-2-1_50JKP_2023-06-18_final.stac-item
2023-06-18 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2023-06-18_final.stac-item
2023-08-27 12:04:45	ga_s2am_ard_3-2-1_50JLT_2023-08-27_final.stac-item
2023-10-13 11:54:35	ga_s2am_ard_3-2-1_50JNT_2023-10-13_final.stac-item
2023-10-16 12:04:41	ga_s2am_ard_3-2-1_49JHN_2023-10-16_final.stac-item
2023-11-09 11:45:50	ga_s2am_ard_3-2-1_50JPN_2023-11-09_final.stac-item
2023-11-12 11:55:52	ga_s2am_ard_3-2-1_50JMN_2023-11-12_final.stac-item
2023-12-12 11:56:53	ga_s2am_ard_3-2-1_50HKJ_2023-12-12_final.stac-item
2023-12-26 11:37:00	ga_s2am_ard_3-2-1_50HQH_2023-12-26_final.stac-item
2024-01-01 11:54:48	ga_s2am_ard_3-2-1_50JNS_2024-01-01_final.stac-item
2024-02-03 12:04:38	ga_s2am_ard_3-2-1_49JHN_2024-02-03_final.stac-item
2024-02-20 11:54:35	ga_s2am_ard_3-2-1_50JNT_2024-02-20_final.stac-item
2024-02-24 11:36:32	ga_s2am_ard_3-2-1_50HQK_2024-02-24_final.stac-item
2024-03-05 11:36:34	ga_s2am_ard_3-2-1_50HQK_2024-03-05_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