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
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53JNM_2016-07-27_final.stac-item
2016-07-30 10:45:24	ga_s2am_ard_3-2-1_53JMF_2016-07-30_final.stac-item
2016-08-16 10:28:09	ga_s2am_ard_3-2-1_54KUC_2016-08-16_final.stac-item
2016-08-16 10:34:31	ga_s2am_ard_3-2-1_53JQF_2016-08-16_final.stac-item
2016-08-16 10:34:31	ga_s2am_ard_3-2-1_53JQG_2016-08-16_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51KXQ_2016-12-09_final
2017-01-09 10:47:28	ga_s2am_ard_3-2-1_53LMD_2017-01-09_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KVT_2017-01-14_final
2017-02-11 10:57:10	ga_s2am_ard_3-2-1_53LKG_2017-02-11_final
2017-08-11 10:32:12	ga_s2am_ard_3-2-1_53JNM_2017-08-11_final
2017-09-20 10:32:07	ga_s2am_ard_3-2-1_53HME_2017-09-20_final
2017-10-25 11:21:08	ga_s2am_ard_3-2-1_51KYP_2017-10-25_final
2017-12-25 10:47:19	ga_s2am_ard_3-2-1_53LPF_2017-12-25_final
2018-01-15 10:23:20	ga_s2am_ard_3-2-1_53HPA_2018-01-15_final
2018-03-01 11:07:09	ga_s2am_ard_3-2-1_52LEJ_2018-03-01_final
2018-04-15 10:17:07	ga_s2am_ard_3-2-1_54JTR_2018-04-15_final
2018-05-08 10:27:10	ga_s2am_ard_3-2-1_53JRM_2018-05-08_final
2018-05-28 10:27:09	ga_s2am_ard_3-2-1_54KTU_2018-05-28_final
2018-07-19 11:09:45	ga_s2am_ard_3-2-1_52KBC_2018-07-19_final
2018-07-19 11:09:45	ga_s2am_ard_3-2-1_52LEK_2018-07-19_final.stac-item
2018-08-08 11:07:12	ga_s2am_ard_3-2-1_52KDB_2018-08-08_final
2018-09-05 10:27:05	ga_s2am_ard_3-2-1_53JRM_2018-09-05_final
2018-11-20 10:55:32	ga_s2am_ard_3-2-1_53JKG_2018-11-20_final
2018-12-12 11:33:15	ga_s2am_ard_3-2-1_51KXS_2018-12-12_final
2019-01-01 11:33:16	ga_s2am_ard_3-2-1_51KUT_2019-01-01_final
2019-01-11 11:33:34	ga_s2am_ard_3-2-1_51KXR_2019-01-11_final
2019-02-26 11:56:09	ga_s2am_ard_3-2-1_50JKM_2019-02-26_final
2019-03-25 11:42:56	ga_s2am_ard_3-2-1_51KVU_2019-03-25_final
2019-04-02 11:00:36	ga_s2am_ard_3-2-1_53LMG_2019-04-02_final
2019-05-21 11:33:48	ga_s2am_ard_3-2-1_51KVR_2019-05-21_final
2019-07-02 10:35:02	ga_s2am_ard_3-2-1_54JTP_2019-07-02_final
2019-07-04 11:13:09	ga_s2am_ard_3-2-1_52KDC_2019-07-04_final
2019-07-19 10:24:45	ga_s2am_ard_3-2-1_53JQL_2019-07-19_final
2019-08-22 11:41:34	ga_s2am_ard_3-2-1_51LUE_2019-08-22_final
2019-08-29 11:34:01	ga_s2am_ard_3-2-1_51KVQ_2019-08-29_final
2019-09-11 11:41:31	ga_s2am_ard_3-2-1_51LUE_2019-09-11_final
2019-10-14 10:15:32	ga_s2am_ard_3-2-1_54JVM_2019-10-14_final
2019-10-27 10:25:09	ga_s2am_ard_3-2-1_53JQJ_2019-10-27_final
2019-11-09 10:34:17	ga_s2am_ard_3-2-1_53JRM_2019-11-09_final
2019-11-19 10:34:19	ga_s2am_ard_3-2-1_53JQM_2019-11-19_final
2019-11-25 10:50:42	ga_s2am_ard_3-2-1_53LMG_2019-11-25_final
2019-12-29 10:34:24	ga_s2am_ard_3-2-1_54JTR_2019-12-29_final
2019-12-29 10:34:31	ga_s2am_ard_3-2-1_53JPL_2019-12-29_final
2020-04-15 11:32:58	ga_s2am_ard_3-2-1_51KWU_2020-04-15_final
2020-04-22 11:23:11	ga_s2am_ard_3-2-1_51KYT_2020-04-22_final
2020-05-05 11:33:06	ga_s2am_ard_3-2-1_51KXU_2020-05-05_final
2020-06-07 11:43:09	ga_s2am_ard_3-2-1_51KTU_2020-06-07_final
2020-06-16 10:35:03	ga_s2am_ard_3-2-1_54JTP_2020-06-16_final
2020-08-03 11:33:48	ga_s2am_ard_3-2-1_51KWR_2020-08-03_final
2020-08-15 10:35:58	ga_s2am_ard_3-2-1_53JNF_2020-08-15_final
2020-09-18 10:17:34	ga_s2am_ard_3-2-1_54HUD_2020-09-18_final.stac-item
2020-12-04 11:41:31	ga_s2am_ard_3-2-1_51LUE_2020-12-04_final
2021-01-10 11:33:39	ga_s2am_ard_3-2-1_51KXR_2021-01-10_final
2021-01-12 10:34:33	ga_s2am_ard_3-2-1_53JQL_2021-01-12_final
2021-06-24 10:43:53	ga_s2am_ard_3-2-1_53KNP_2021-06-24_final
2021-07-18 10:24:55	ga_s2am_ard_3-2-1_53JQK_2021-07-18_final
2021-08-31 10:07:13	ga_s2am_ard_3-2-1_54HWE_2021-08-31_final
2021-09-19 10:34:02	ga_s2am_ard_3-2-1_53JRN_2021-09-19_final
2021-09-20 11:42:19	ga_s2am_ard_3-2-1_51KUB_2021-09-20_final.stac-item
2021-10-10 10:06:55	ga_s2am_ard_3-2-1_54HYF_2021-10-10_final
2021-11-28 10:33:49	ga_s2am_ard_3-2-1_53KQP_2021-11-28_final
2022-01-10 10:45:48	ga_s2am_ard_3-2-1_52JGM_2022-01-10_final
2022-01-23 10:52:23	ga_s2am_ard_3-2-1_53KMV_2022-01-23_final
2022-01-29 11:13:19	ga_s2am_ard_3-2-1_52KDB_2022-01-29_final
2022-02-02 10:50:53	ga_s2am_ard_3-2-1_53LNF_2022-02-02_final
2022-02-10 10:16:59	ga_s2am_ard_3-2-1_54HUF_2022-02-10_final
2022-03-08 10:34:17	ga_s2am_ard_3-2-1_53JNN_2022-03-08_final
2022-03-09 11:43:08	ga_s2am_ard_3-2-1_50KRD_2022-03-09_final
2022-06-23 10:24:45	ga_s2am_ard_3-2-1_54JTR_2022-06-23_final
2022-06-27 11:42:29	ga_s2am_ard_3-2-1_51KUB_2022-06-27_final.stac-item
2022-06-28 11:12:55	ga_s2am_ard_3-2-1_52KFD_2022-06-28_final
2022-07-11 11:23:33	ga_s2am_ard_3-2-1_52KBB_2022-07-11_final
2022-07-14 11:37:30	ga_s2am_ard_3-2-1_50HQG_2022-07-14_final.stac-item
2022-07-27 10:06:59	ga_s2am_ard_3-2-1_54HYF_2022-07-27_final
2022-08-03 11:33:56	ga_s2am_ard_3-2-1_51KVR_2022-08-03_final
2022-08-23 11:33:58	ga_s2am_ard_3-2-1_51KVR_2022-08-23_final
2022-09-24 10:34:40	ga_s2am_ard_3-2-1_53JQL_2022-09-24_final.stac-item
2022-09-25 11:42:20	ga_s2am_ard_3-2-1_51KVB_2022-09-25_final.stac-item
2022-10-21 10:26:48	ga_s2am_ard_3-2-1_53HQB_2022-10-21_final.stac-item
2023-02-07 10:52:20	ga_s2am_ard_3-2-1_53KMV_2023-02-07_final.stac-item
2023-02-09 11:33:22	ga_s2am_ard_3-2-1_51KXS_2023-02-09_final.stac-item
2023-02-21 10:34:01	ga_s2am_ard_3-2-1_53JQN_2023-02-21_final.stac-item
2023-04-02 10:34:31	ga_s2am_ard_3-2-1_53JQL_2023-04-02_final.stac-item
2023-04-27 11:23:50	ga_s2am_ard_3-2-1_51KZQ_2023-04-27_final.stac-item
2023-06-16 11:23:39	ga_s2am_ard_3-2-1_52KBA_2023-06-16_final.stac-item
2023-08-11 11:43:29	ga_s2am_ard_3-2-1_51KVS_2023-08-11_final.stac-item
2023-10-02 10:44:23	ga_s2am_ard_3-2-1_53JNM_2023-10-02_final.stac-item
2023-11-08 10:34:25	ga_s2am_ard_3-2-1_53JNM_2023-11-08_final.stac-item
2023-12-09 11:43:19	ga_s2am_ard_3-2-1_51KVS_2023-12-09_final.stac-item
2024-01-02 11:23:18	ga_s2am_ard_3-2-1_51KZS_2024-01-02_final.stac-item
2024-01-12 11:23:08	ga_s2am_ard_3-2-1_51KXT_2024-01-12_final.stac-item
2024-01-20 10:41:55	ga_s2am_ard_3-2-1_53KQA_2024-01-20_final.stac-item
2024-01-22 11:24:01	ga_s2am_ard_3-2-1_51KYP_2024-01-22_final.stac-item
2024-01-23 10:52:37	ga_s2am_ard_3-2-1_53KKU_2024-01-23_final.stac-item
2024-02-16 10:34:30	ga_s2am_ard_3-2-1_53JQL_2024-02-16_final.stac-item
2024-02-24 11:33:07	ga_s2am_ard_3-2-1_51KXT_2024-02-24_final.stac-item
2024-03-19 11:11:17	ga_s2am_ard_3-2-1_52LFK_2024-03-19_final.stac-item
2024-03-27 10:34:47	ga_s2am_ard_3-2-1_53JQK_2024-03-27_final.stac-item
2024-05-16 10:34:02	ga_s2am_ard_3-2-1_54JTT_2024-05-16_final.stac-item
2024-05-29 10:44:23	ga_s2am_ard_3-2-1_53JNM_2024-05-29_nrt.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