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
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51KZS_2016-01-24_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50KLC_2016-02-15_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_50JNL_2016-07-21_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51JYM_2016-07-22_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HMH_2016-09-26_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51KWB_2016-12-05_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52KDC_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52KEA_2016-12-06_final.stac-item
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52LDH_2017-01-25_final
2017-03-06 11:07:05	ga_s2am_ard_3-2-1_52LGL_2017-03-06_final
2017-03-12 11:27:30	ga_s2am_ard_3-2-1_51KWT_2017-03-12_final
2017-12-25 10:53:09	ga_s2am_ard_3-2-1_53JLK_2017-12-25_final
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_52LBK_2018-01-26_final
2018-02-09 11:07:09	ga_s2am_ard_3-2-1_52LFK_2018-02-09_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51LYD_2018-02-15_final
2018-02-27 10:32:29	ga_s2am_ard_3-2-1_53HPA_2018-02-27_final
2018-03-21 11:11:51	ga_s2am_ard_3-2-1_51HYE_2018-03-21_final
2018-03-21 11:11:51	ga_s2am_ard_3-2-1_52JBM_2018-03-21_final
2018-03-26 10:26:59	ga_s2am_ard_3-2-1_53HPA_2018-03-26_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50KLC_2018-04-25_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52KCE_2018-05-23_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51JVM_2018-05-26_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JFR_2018-06-06_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_51JYL_2018-06-09_final
2018-06-22 11:20:28	ga_s2am_ard_3-2-1_51KYS_2018-06-22_final
2018-06-29 11:07:13	ga_s2am_ard_3-2-1_51KZR_2018-06-29_final
2018-08-31 11:16:57	ga_s2am_ard_3-2-1_51KYT_2018-08-31_final
2018-09-05 10:27:05	ga_s2am_ard_3-2-1_53JNN_2018-09-05_final
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50HMJ_2018-09-09_final
2018-11-01 10:17:02	ga_s2am_ard_3-2-1_53HNC_2018-11-01_final
2018-11-19 11:26:11	ga_s2am_ard_3-2-1_51JUF_2018-11-19_final
2018-12-15 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2018-12-15_final
2019-01-13 10:35:52	ga_s2am_ard_3-2-1_53HQE_2019-01-13_final
2019-03-15 11:44:37	ga_s2am_ard_3-2-1_51JUM_2019-03-15_final
2019-03-24 10:35:04	ga_s2am_ard_3-2-1_53JPJ_2019-03-24_final
2019-05-08 11:23:31	ga_s2am_ard_3-2-1_52KCA_2019-05-08_final
2019-05-29 10:56:07	ga_s2am_ard_3-2-1_52JEL_2019-05-29_final
2019-06-10 11:33:06	ga_s2am_ard_3-2-1_51KWU_2019-06-10_final
2019-07-14 11:16:11	ga_s2am_ard_3-2-1_52JBL_2019-07-14_final
2019-08-02 11:43:16	ga_s2am_ard_3-2-1_51KVT_2019-08-02_final
2019-08-26 11:23:37	ga_s2am_ard_3-2-1_51KZR_2019-08-26_final
2019-09-08 11:33:12	ga_s2am_ard_3-2-1_51KWT_2019-09-08_final
2019-11-01 11:10:58	ga_s2am_ard_3-2-1_52LFL_2019-11-01_final
2019-11-30 11:42:08	ga_s2am_ard_3-2-1_51KWB_2019-11-30_final
2019-12-20 11:42:07	ga_s2am_ard_3-2-1_51KVB_2019-12-20_final
2019-12-20 11:43:56	ga_s2am_ard_3-2-1_50KRV_2019-12-20_final
2020-04-25 11:33:05	ga_s2am_ard_3-2-1_51KWU_2020-04-25_final
2020-05-05 11:33:06	ga_s2am_ard_3-2-1_51KXT_2020-05-05_final
2020-05-25 11:33:44	ga_s2am_ard_3-2-1_51KXR_2020-05-25_final
2020-06-11 11:26:03	ga_s2am_ard_3-2-1_51JWG_2020-06-11_final
2020-07-03 12:06:14	ga_s2am_ard_3-2-1_50JKM_2020-07-03_final
2020-08-07 11:16:03	ga_s2am_ard_3-2-1_51JXG_2020-08-07_final
2020-08-12 12:06:16	ga_s2am_ard_3-2-1_50JKM_2020-08-12_final
2020-08-16 11:46:49	ga_s2am_ard_3-2-1_50HQJ_2020-08-16_final
2020-09-28 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2020-09-28_final
2020-10-12 11:36:59	ga_s2am_ard_3-2-1_51HTD_2020-10-12_final
2020-11-03 10:36:41	ga_s2am_ard_3-2-1_53HNC_2020-11-03_final
2021-01-01 11:06:24	ga_s2am_ard_3-2-1_52HBK_2021-01-01_final
2021-01-09 12:05:56	ga_s2am_ard_3-2-1_50JKN_2021-01-09_final
2021-02-04 10:45:22	ga_s2am_ard_3-2-1_53JMH_2021-02-04_final
2021-04-14 11:14:32	ga_s2am_ard_3-2-1_51JZM_2021-04-14_final
2021-06-05 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2021-06-05_final
2021-07-02 11:47:08	ga_s2am_ard_3-2-1_50HNH_2021-07-02_final
2021-07-29 11:36:46	ga_s2am_ard_3-2-1_51HUD_2021-07-29_final
2021-08-02 11:15:51	ga_s2am_ard_3-2-1_52JCM_2021-08-02_final
2021-08-24 11:56:32	ga_s2am_ard_3-2-1_50HNK_2021-08-24_final
2021-09-23 11:53:42	ga_s2am_ard_3-2-1_50KNB_2021-09-23_final
2021-10-22 10:44:12	ga_s2am_ard_3-2-1_53JNN_2021-10-22_final
2021-11-03 11:22:03	ga_s2am_ard_3-2-1_51LYC_2021-11-03_final
2022-02-14 11:33:45	ga_s2am_ard_3-2-1_51KVR_2022-02-14_final
2022-03-26 11:35:18	ga_s2am_ard_3-2-1_51JUK_2022-03-26_final
2022-07-18 11:14:06	ga_s2am_ard_3-2-1_52KBV_2022-07-18_final
2022-07-22 10:56:05	ga_s2am_ard_3-2-1_53JKF_2022-07-22_final
2022-09-10 10:54:37	ga_s2am_ard_3-2-1_53JKM_2022-09-10_final.stac-item
2022-10-02 11:35:08	ga_s2am_ard_3-2-1_51JUL_2022-10-02_final.stac-item
2022-10-25 11:46:33	ga_s2am_ard_3-2-1_50HQK_2022-10-25_final.stac-item
2022-11-11 11:36:35	ga_s2am_ard_3-2-1_51HTE_2022-11-11_final.stac-item
2022-11-14 13:21:48	ga_s2am_ard_3-2-1_46LHM_2022-11-14_interim.stac-item
2022-12-14 11:42:46	ga_s2am_ard_3-2-1_51KUV_2022-12-14_final.stac-item
2023-02-03 11:16:21	ga_s2am_ard_3-2-1_51HYE_2023-02-03_final.stac-item
2023-02-11 12:14:29	ga_s2am_ard_3-2-1_49KFP_2023-02-11_nrt.stac-item
2023-03-05 11:16:31	ga_s2am_ard_3-2-1_52HBJ_2023-03-05_nrt.stac-item
2023-03-19 10:54:19	ga_s2am_ard_3-2-1_52JFT_2023-03-19_final.stac-item
2023-04-13 11:44:05	ga_s2am_ard_3-2-1_50KQV_2023-04-13_final.stac-item
2023-04-16 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2023-04-16_final.stac-item
2023-04-19 10:26:20	ga_s2am_ard_3-2-1_53HPD_2023-04-19_final.stac-item
2023-06-29 11:32:19	ga_s2am_ard_3-2-1_51KWB_2023-06-29_final.stac-item
2023-08-12 11:15:52	ga_s2am_ard_3-2-1_52JCM_2023-08-12_final.stac-item
2023-10-02 10:46:08	ga_s2am_ard_3-2-1_53HME_2023-10-02_final.stac-item
2023-11-16 11:32:53	ga_s2am_ard_3-2-1_51KXU_2023-11-16_final.stac-item
2023-11-18 10:35:24	ga_s2am_ard_3-2-1_53JMH_2023-11-18_final.stac-item
2024-01-21 10:16:44	ga_s2am_ard_3-2-1_53HQB_2024-01-21_final.stac-item
2024-02-28 11:12:02	ga_s2am_ard_3-2-1_52KEG_2024-02-28_final.stac-item
2024-03-19 11:15:37	ga_s2am_ard_3-2-1_52JBN_2024-03-19_final.stac-item
2024-04-11 11:26:36	ga_s2am_ard_3-2-1_51HXD_2024-04-11_final.stac-item
2024-04-24 11:33:26	ga_s2am_ard_3-2-1_51KXS_2024-04-24_final.stac-item
2024-04-24 11:36:20	ga_s2am_ard_3-2-1_51JTF_2024-04-24_final.stac-item
2024-04-28 11:15:18	ga_s2am_ard_3-2-1_51JYK_2024-04-28_final.stac-item
2024-05-13 12:04:49	ga_s2am_ard_3-2-1_49JGN_2024-05-13_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