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
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KKV_2016-03-16_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50KRB_2016-05-09_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50JNS_2016-07-01_final.stac-item
2016-07-23 10:48:23	ga_s2am_ard_3-2-1_53KLR_2016-07-23_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53KQA_2016-07-30_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_50JQQ_2016-08-17_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_51JYM_2016-09-20_final.stac-item
2016-11-06 11:14:16	ga_s2am_ard_3-2-1_52JBP_2016-11-06_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_51JTG_2016-11-12_final.stac-item
2016-11-30 10:50:09	ga_s2am_ard_3-2-1_53KLU_2016-11-30_final.stac-item
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50JML_2017-04-07_final.stac-item
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50JPL_2017-04-14_final.stac-item
2017-05-09 10:52:19	ga_s2am_ard_3-2-1_53KLS_2017-05-09_final
2017-06-16 10:11:32	ga_s2am_ard_3-2-1_54KXU_2017-06-16_final
2017-07-31 11:03:00	ga_s2am_ard_3-2-1_52JEN_2017-07-31_final
2017-09-22 11:11:57	ga_s2am_ard_3-2-1_52KDD_2017-09-22_final
2017-11-19 10:28:06	ga_s2am_ard_3-2-1_53KQR_2017-11-19_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51JWF_2017-12-04_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KKQ_2018-01-24_final
2018-02-11 10:11:28	ga_s2am_ard_3-2-1_54JWN_2018-02-11_final
2018-02-21 10:07:01	ga_s2am_ard_3-2-1_54JWP_2018-02-21_final
2018-03-01 11:11:47	ga_s2am_ard_3-2-1_52JCR_2018-03-01_final
2018-03-15 10:47:20	ga_s2am_ard_3-2-1_53KLQ_2018-03-15_final
2018-04-01 10:37:26	ga_s2am_ard_3-2-1_53JMK_2018-04-01_final
2018-04-29 11:40:08	ga_s2am_ard_3-2-1_50KRU_2018-04-29_final
2018-06-29 11:07:13	ga_s2am_ard_3-2-1_52KDB_2018-06-29_final
2018-09-11 10:47:22	ga_s2am_ard_3-2-1_53KMA_2018-09-11_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50KRU_2018-09-26_final
2018-10-09 10:07:01	ga_s2am_ard_3-2-1_54KXU_2018-10-09_final
2018-10-15 10:27:05	ga_s2am_ard_3-2-1_53KRQ_2018-10-15_final
2018-11-04 10:27:04	ga_s2am_ard_3-2-1_53HNB_2018-11-04_final
2018-12-09 11:22:29	ga_s2am_ard_3-2-1_51KZV_2018-12-09_final
2018-12-18 10:14:48	ga_s2am_ard_3-2-1_54JWP_2018-12-18_final
2018-12-26 11:12:13	ga_s2am_ard_3-2-1_52KDF_2018-12-26_final
2019-01-03 10:33:43	ga_s2am_ard_3-2-1_53KQP_2019-01-03_final
2019-01-13 10:32:57	ga_s2am_ard_3-2-1_54KTB_2019-01-13_final
2019-01-13 10:33:27	ga_s2am_ard_3-2-1_53KRQ_2019-01-13_final
2019-01-19 10:52:37	ga_s2am_ard_3-2-1_53KLU_2019-01-19_final
2019-02-08 10:52:35	ga_s2am_ard_3-2-1_53KMU_2019-02-08_final
2019-02-13 11:44:27	ga_s2am_ard_3-2-1_50JRT_2019-02-13_final
2019-03-08 10:14:51	ga_s2am_ard_3-2-1_54JWP_2019-03-08_final
2019-04-04 10:05:42	ga_s2am_ard_3-2-1_54JXL_2019-04-04_final
2019-04-07 10:15:27	ga_s2am_ard_3-2-1_54JWM_2019-04-07_final
2019-07-03 11:43:52	ga_s2am_ard_3-2-1_50KRA_2019-07-03_final
2019-07-03 11:44:35	ga_s2am_ard_3-2-1_50JRT_2019-07-03_final
2019-07-05 10:45:16	ga_s2am_ard_3-2-1_53JLJ_2019-07-05_final
2019-07-08 10:55:01	ga_s2am_ard_3-2-1_53JKK_2019-07-08_final
2019-08-03 11:12:40	ga_s2am_ard_3-2-1_52KDE_2019-08-03_final
2019-08-08 10:23:04	ga_s2am_ard_3-2-1_54KVB_2019-08-08_final
2019-08-23 11:12:19	ga_s2am_ard_3-2-1_52KEF_2019-08-23_final
2019-09-14 11:53:49	ga_s2am_ard_3-2-1_50KPA_2019-09-14_final
2019-11-08 11:02:00	ga_s2am_ard_3-2-1_52KHG_2019-11-08_final
2019-11-16 10:25:34	ga_s2am_ard_3-2-1_54JTM_2019-11-16_final
2019-12-03 10:12:06	ga_s2am_ard_3-2-1_54KZE_2019-12-03_final
2019-12-16 12:04:08	ga_s2am_ard_3-2-1_50KKV_2019-12-16_final
2020-01-02 11:54:46	ga_s2am_ard_3-2-1_50JNS_2020-01-02_final
2020-05-12 11:22:42	ga_s2am_ard_3-2-1_52KBE_2020-05-12_final
2020-10-16 11:12:37	ga_s2am_ard_3-2-1_52KEE_2020-10-16_final
2020-11-29 10:53:29	ga_s2am_ard_3-2-1_52KHA_2020-11-29_final
2020-12-02 11:00:13	ga_s2am_ard_3-2-1_53LKJ_2020-12-02_final.stac-item
2020-12-12 11:01:23	ga_s2am_ard_3-2-1_53LKD_2020-12-12_final
2021-02-28 10:25:32	ga_s2am_ard_3-2-1_54JTM_2021-02-28_final
2021-04-18 10:54:50	ga_s2am_ard_3-2-1_53JKK_2021-04-18_final
2021-06-10 11:02:01	ga_s2am_ard_3-2-1_52KGG_2021-06-10_final
2021-06-27 10:52:39	ga_s2am_ard_3-2-1_53KMU_2021-06-27_final
2021-07-13 11:14:23	ga_s2am_ard_3-2-1_52JCT_2021-07-13_final
2021-08-15 11:22:10	ga_s2am_ard_3-2-1_52KBG_2021-08-15_final
2021-09-28 11:01:45	ga_s2am_ard_3-2-1_53LKC_2021-09-28_final
2021-11-01 10:42:11	ga_s2am_ard_3-2-1_53KPA_2021-11-01_final
2021-11-29 11:41:29	ga_s2am_ard_3-2-1_51LVE_2021-11-29_final
2021-12-30 11:14:51	ga_s2am_ard_3-2-1_52JCR_2021-12-30_final
2022-03-30 11:16:25	ga_s2am_ard_3-2-1_51HYE_2022-03-30_final
2022-05-16 11:04:34	ga_s2am_ard_3-2-1_52JFS_2022-05-16_final
2022-05-26 11:02:08	ga_s2am_ard_3-2-1_52KGG_2022-05-26_final
2022-06-05 11:01:54	ga_s2am_ard_3-2-1_52LGH_2022-06-05_final
2022-06-09 10:45:49	ga_s2am_ard_3-2-1_53JLG_2022-06-09_final
2022-06-25 11:01:25	ga_s2am_ard_3-2-1_53LKE_2022-06-25_final
2022-06-25 11:02:57	ga_s2am_ard_3-2-1_52KGD_2022-06-25_final
2022-07-11 11:22:36	ga_s2am_ard_3-2-1_51KZA_2022-07-11_final
2022-09-03 11:03:25	ga_s2am_ard_3-2-1_52KGB_2022-09-03_final.stac-item
2022-10-02 11:33:05	ga_s2am_ard_3-2-1_51KWU_2022-10-02_final.stac-item
2022-11-05 11:15:26	ga_s2am_ard_3-2-1_52JBP_2022-11-05_final.stac-item
2022-12-17 11:54:54	ga_s2am_ard_3-2-1_50JMS_2022-12-17_final.stac-item
2023-01-03 11:43:32	ga_s2am_ard_3-2-1_50KRB_2023-01-03_final.stac-item
2023-01-23 11:41:11	ga_s2am_ard_3-2-1_51LVF_2023-01-23_final.stac-item
2023-02-27 10:55:25	ga_s2am_ard_3-2-1_52JGN_2023-02-27_final.stac-item
2023-03-06 10:45:04	ga_s2am_ard_3-2-1_53JMJ_2023-03-06_final.stac-item
2023-03-16 10:44:51	ga_s2am_ard_3-2-1_53JMK_2023-03-16_final.stac-item
2023-04-22 10:34:20	ga_s2am_ard_3-2-1_53JPM_2023-04-22_final.stac-item
2023-05-11 11:05:48	ga_s2am_ard_3-2-1_52JDM_2023-05-11_final.stac-item
2023-06-17 10:54:01	ga_s2am_ard_3-2-1_52KHU_2023-06-17_final.stac-item
2023-08-01 11:42:22	ga_s2am_ard_3-2-1_51KUB_2023-08-01_final.stac-item
2023-08-01 11:42:36	ga_s2am_ard_3-2-1_51KUA_2023-08-01_final.stac-item
2023-10-29 10:32:32	ga_s2am_ard_3-2-1_54KTD_2023-10-29_final.stac-item
2023-11-09 11:43:17	ga_s2am_ard_3-2-1_51KTT_2023-11-09_final.stac-item
2023-11-12 11:51:18	ga_s2am_ard_3-2-1_50LRL_2023-11-12_nrt.stac-item
2023-11-27 11:03:10	ga_s2am_ard_3-2-1_52KFB_2023-11-27_final.stac-item
2023-12-12 11:55:05	ga_s2am_ard_3-2-1_50JMR_2023-12-12_final.stac-item
2024-01-13 10:51:01	ga_s2am_ard_3-2-1_53LNE_2024-01-13_final.stac-item
2024-01-22 11:23:46	ga_s2am_ard_3-2-1_51KYQ_2024-01-22_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

All years