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
2016-02-01 10:39:39	ga_s2am_ard_3-2-1_53JLF_2016-02-01_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50HLH_2016-10-09_final.stac-item
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_51KWU_2016-11-02_final.stac-item
2016-12-28 11:45:05	ga_s2am_ard_3-2-1_50KQG_2016-12-28_final.stac-item
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_51HVD_2017-01-31_final
2017-06-29 10:23:05	ga_s2am_ard_3-2-1_53HQD_2017-06-29_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KWS_2017-11-27_final
2018-02-11 11:50:47	ga_s2am_ard_3-2-1_50JPR_2018-02-11_final
2018-04-11 10:37:28	ga_s2am_ard_3-2-1_53JNN_2018-04-11_final
2018-05-01 10:37:29	ga_s2am_ard_3-2-1_53HME_2018-05-01_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_51KVU_2018-05-16_final
2018-05-30 11:13:18	ga_s2am_ard_3-2-1_51KZQ_2018-05-30_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49JGM_2018-06-04_final
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_51KYT_2018-06-12_final
2018-07-05 11:29:39	ga_s2am_ard_3-2-1_51KWQ_2018-07-05_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JKN_2018-08-30_final
2018-11-22 11:33:06	ga_s2am_ard_3-2-1_51KWT_2018-11-22_final
2019-01-22 11:03:19	ga_s2am_ard_3-2-1_52KHA_2019-01-22_final
2019-01-27 11:53:21	ga_s2am_ard_3-2-1_50KNC_2019-01-27_final
2019-02-27 11:23:16	ga_s2am_ard_3-2-1_52KBB_2019-02-27_final
2019-04-15 11:13:21	ga_s2am_ard_3-2-1_52KDB_2019-04-15_final
2019-04-21 11:33:55	ga_s2am_ard_3-2-1_51KXQ_2019-04-21_final
2019-04-24 11:42:12	ga_s2am_ard_3-2-1_51KWB_2019-04-24_final
2019-04-28 11:23:43	ga_s2am_ard_3-2-1_51KYR_2019-04-28_final
2019-05-04 11:42:46	ga_s2am_ard_3-2-1_51KVV_2019-05-04_final
2019-05-19 10:55:57	ga_s2am_ard_3-2-1_53JKF_2019-05-19_final
2019-05-28 11:24:07	ga_s2am_ard_3-2-1_52KBU_2019-05-28_final
2019-06-11 11:03:48	ga_s2am_ard_3-2-1_52KFV_2019-06-11_final
2019-06-17 11:22:59	ga_s2am_ard_3-2-1_51KYU_2019-06-17_final
2019-06-24 11:13:41	ga_s2am_ard_3-2-1_52KCA_2019-06-24_final
2019-07-04 11:13:59	ga_s2am_ard_3-2-1_52KBV_2019-07-04_final
2019-07-07 11:23:44	ga_s2am_ard_3-2-1_51KYR_2019-07-07_final
2019-07-20 11:33:07	ga_s2am_ard_3-2-1_51KYT_2019-07-20_final
2019-08-08 10:26:51	ga_s2am_ard_3-2-1_53HQB_2019-08-08_final
2019-09-05 11:23:57	ga_s2am_ard_3-2-1_51KXQ_2019-09-05_final
2019-11-17 11:33:10	ga_s2am_ard_3-2-1_51KXT_2019-11-17_final
2020-01-30 11:13:26	ga_s2am_ard_3-2-1_52KDA_2020-01-30_final
2020-02-02 11:22:44	ga_s2am_ard_3-2-1_51KZU_2020-02-02_final
2020-03-03 11:23:02	ga_s2am_ard_3-2-1_51KZT_2020-03-03_final
2020-05-22 11:23:06	ga_s2am_ard_3-2-1_51KXU_2020-05-22_final
2020-05-26 11:05:44	ga_s2am_ard_3-2-1_52JFM_2020-05-26_final
2020-06-01 11:21:38	ga_s2am_ard_3-2-1_52LDJ_2020-06-01_final
2020-06-14 11:33:40	ga_s2am_ard_3-2-1_51KUS_2020-06-14_final
2020-06-26 10:34:19	ga_s2am_ard_3-2-1_53JNN_2020-06-26_final
2020-06-28 11:13:19	ga_s2am_ard_3-2-1_52KBC_2020-06-28_final
2020-08-06 11:43:35	ga_s2am_ard_3-2-1_51KUS_2020-08-06_final
2020-08-13 11:34:02	ga_s2am_ard_3-2-1_51KWQ_2020-08-13_final
2020-08-27 11:13:59	ga_s2am_ard_3-2-1_52KBV_2020-08-27_final
2020-09-06 11:13:58	ga_s2am_ard_3-2-1_52KBV_2020-09-06_final
2020-09-30 10:55:59	ga_s2am_ard_3-2-1_53JKF_2020-09-30_final
2020-12-28 11:22:12	ga_s2am_ard_3-2-1_51KYB_2020-12-28_final
2021-01-27 11:23:07	ga_s2am_ard_3-2-1_51KZT_2021-01-27_final
2021-02-21 10:34:13	ga_s2am_ard_3-2-1_53JNN_2021-02-21_final
2021-03-26 10:45:21	ga_s2am_ard_3-2-1_53JMH_2021-03-26_final
2021-04-03 11:42:42	ga_s2am_ard_3-2-1_51KUV_2021-04-03_final
2021-06-24 10:45:52	ga_s2am_ard_3-2-1_53JMF_2021-06-24_final
2021-07-19 11:33:37	ga_s2am_ard_3-2-1_51KUS_2021-07-19_final
2021-07-21 10:36:00	ga_s2am_ard_3-2-1_53HQE_2021-07-21_final
2021-07-21 12:15:03	ga_s2am_ard_3-2-1_49JFM_2021-07-21_final
2021-09-04 11:24:20	ga_s2am_ard_3-2-1_51JZN_2021-09-04_final
2021-10-14 11:24:03	ga_s2am_ard_3-2-1_51KXQ_2021-10-14_final
2021-10-24 11:23:01	ga_s2am_ard_3-2-1_51KYU_2021-10-24_final
2021-11-06 11:33:56	ga_s2am_ard_3-2-1_51KXQ_2021-11-06_final
2021-12-26 11:37:19	ga_s2am_ard_3-2-1_50HQG_2021-12-26_final.stac-item
2022-01-05 11:32:16	ga_s2am_ard_3-2-1_51KWB_2022-01-05_final
2022-02-04 11:33:22	ga_s2am_ard_3-2-1_51KUT_2022-02-04_final
2022-02-05 11:00:59	ga_s2am_ard_3-2-1_52LHL_2022-02-05_final
2022-02-24 11:32:28	ga_s2am_ard_3-2-1_51KXA_2022-02-24_final
2022-03-12 11:54:09	ga_s2am_ard_3-2-1_50KPV_2022-03-12_final
2022-03-19 11:43:15	ga_s2am_ard_3-2-1_51KVT_2022-03-19_final
2022-03-26 11:33:30	ga_s2am_ard_3-2-1_51KWS_2022-03-26_final
2022-03-30 11:13:17	ga_s2am_ard_3-2-1_52KEB_2022-03-30_final
2022-04-22 11:23:15	ga_s2am_ard_3-2-1_51KYT_2022-04-22_final
2022-07-07 11:43:10	ga_s2am_ard_3-2-1_51KVU_2022-07-07_final
2022-07-11 11:24:02	ga_s2am_ard_3-2-1_51KZQ_2022-07-11_final
2022-07-30 11:56:28	ga_s2am_ard_3-2-1_50JNL_2022-07-30_final
2022-08-31 10:53:44	ga_s2am_ard_3-2-1_52KGA_2022-08-31_final
2022-09-06 11:14:06	ga_s2am_ard_3-2-1_51KZQ_2022-09-06_final.stac-item
2022-09-09 11:25:10	ga_s2am_ard_3-2-1_51JWL_2022-09-09_final.stac-item
2022-09-25 11:43:32	ga_s2am_ard_3-2-1_51KVS_2022-09-25_final.stac-item
2022-09-27 10:44:14	ga_s2am_ard_3-2-1_53JNN_2022-09-27_final.stac-item
2022-11-12 11:02:43	ga_s2am_ard_3-2-1_52KHD_2022-11-12_final.stac-item
2022-11-18 11:22:57	ga_s2am_ard_3-2-1_51KYU_2022-11-18_final.stac-item
2022-12-06 10:45:58	ga_s2am_ard_3-2-1_53JKF_2022-12-06_final.stac-item
2022-12-18 11:23:20	ga_s2am_ard_3-2-1_51KZS_2022-12-18_final.stac-item
2023-02-11 10:36:57	ga_s2am_ard_3-2-1_53HPA_2023-02-11_final.stac-item
2023-02-28 12:05:27	ga_s2am_ard_3-2-1_49JGK_2023-02-28_final.stac-item
2023-04-10 11:33:31	ga_s2am_ard_3-2-1_51KVS_2023-04-10_final.stac-item
2023-04-20 11:33:40	ga_s2am_ard_3-2-1_51KWR_2023-04-20_final.stac-item
2023-05-22 10:35:59	ga_s2am_ard_3-2-1_53HQE_2023-05-22_final.stac-item
2023-05-22 10:36:31	ga_s2am_ard_3-2-1_53HLD_2023-05-22_final.stac-item
2023-08-05 11:21:16	ga_s2am_ard_3-2-1_51LZF_2023-08-05_nrt.stac-item
2023-08-31 11:42:22	ga_s2am_ard_3-2-1_51KUB_2023-08-31_final.stac-item
2023-10-27 11:33:09	ga_s2am_ard_3-2-1_51KXT_2023-10-27_final.stac-item
2023-11-26 11:33:10	ga_s2am_ard_3-2-1_51KVT_2023-11-26_final.stac-item
2023-12-20 11:13:17	ga_s2am_ard_3-2-1_52KCB_2023-12-20_final.stac-item
2024-02-05 11:05:59	ga_s2am_ard_3-2-1_52JDL_2024-02-05_final.stac-item
2024-02-21 11:23:04	ga_s2am_ard_3-2-1_51KZT_2024-02-21_final.stac-item
2024-02-24 11:36:25	ga_s2am_ard_3-2-1_50JPL_2024-02-24_final.stac-item
2024-03-15 11:36:28	ga_s2am_ard_3-2-1_51HUE_2024-03-15_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