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
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51HWC_2016-06-12_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HQH_2016-11-12_final.stac-item
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_52LBK_2016-12-29_final.stac-item
2017-01-05 11:12:08	ga_s2am_ard_3-2-1_52KCE_2017-01-05_final
2017-04-05 11:12:44	ga_s2am_ard_3-2-1_52KBB_2017-04-05_final
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_50JKN_2017-07-29_final
2017-10-29 11:02:10	ga_s2am_ard_3-2-1_52KEA_2017-10-29_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_52KEA_2017-12-11_final
2018-01-15 12:04:34	ga_s2am_ard_3-2-1_50JLQ_2018-01-15_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JNT_2018-02-01_final
2018-03-21 11:11:51	ga_s2am_ard_3-2-1_52KEA_2018-03-21_final
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_51JWK_2018-04-16_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50JQL_2018-06-08_final
2018-07-12 11:19:28	ga_s2am_ard_3-2-1_51KXT_2018-07-12_final
2018-08-11 11:19:45	ga_s2am_ard_3-2-1_51KYR_2018-08-11_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51JUN_2018-09-03_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_51KTU_2018-09-26_final
2019-01-22 11:03:02	ga_s2am_ard_3-2-1_52KEC_2019-01-22_final
2019-02-20 11:36:53	ga_s2am_ard_3-2-1_51HUC_2019-02-20_final
2019-05-24 11:43:06	ga_s2am_ard_3-2-1_51KTU_2019-05-24_final
2019-05-28 11:21:27	ga_s2am_ard_3-2-1_52LBK_2019-05-28_final
2019-06-14 11:15:25	ga_s2am_ard_3-2-1_52JBP_2019-06-14_final
2019-06-30 11:32:51	ga_s2am_ard_3-2-1_51KVV_2019-06-30_final
2019-07-24 11:15:27	ga_s2am_ard_3-2-1_52JBP_2019-07-24_final
2019-07-27 11:27:12	ga_s2am_ard_3-2-1_51HTC_2019-07-27_final
2019-08-09 11:32:18	ga_s2am_ard_3-2-1_51KWB_2019-08-09_final
2019-08-29 11:34:30	ga_s2am_ard_3-2-1_51JVN_2019-08-29_final
2019-11-11 11:13:32	ga_s2am_ard_3-2-1_52KEA_2019-11-11_final
2019-12-27 11:34:09	ga_s2am_ard_3-2-1_51KVP_2019-12-27_final
2020-01-19 11:46:16	ga_s2am_ard_3-2-1_50JNL_2020-01-19_final
2020-02-25 11:35:21	ga_s2am_ard_3-2-1_51JVJ_2020-02-25_final
2020-03-16 11:36:54	ga_s2am_ard_3-2-1_51HUC_2020-03-16_final
2020-03-20 11:12:13	ga_s2am_ard_3-2-1_52KEF_2020-03-20_final
2020-03-27 11:03:45	ga_s2am_ard_3-2-1_52KEV_2020-03-27_final
2020-04-29 11:13:36	ga_s2am_ard_3-2-1_52KDA_2020-04-29_final
2020-06-01 11:25:12	ga_s2am_ard_3-2-1_51JYK_2020-06-01_final
2020-07-05 11:04:08	ga_s2am_ard_3-2-1_52KEU_2020-07-05_final
2020-07-21 11:26:52	ga_s2am_ard_3-2-1_51HUD_2020-07-21_final
2020-08-28 10:45:52	ga_s2am_ard_3-2-1_52JGM_2020-08-28_final
2020-08-30 11:22:28	ga_s2am_ard_3-2-1_51KZA_2020-08-30_final
2020-10-09 11:24:14	ga_s2am_ard_3-2-1_51KYP_2020-10-09_final
2020-11-01 11:36:31	ga_s2am_ard_3-2-1_50JPL_2020-11-01_final
2020-12-14 11:43:15	ga_s2am_ard_3-2-1_50KRC_2020-12-14_final
2021-01-11 11:02:41	ga_s2am_ard_3-2-1_52KHD_2021-01-11_final
2021-01-13 11:42:46	ga_s2am_ard_3-2-1_51KUV_2021-01-13_final
2021-01-13 11:43:19	ga_s2am_ard_3-2-1_50KRC_2021-01-13_final
2021-01-31 11:03:22	ga_s2am_ard_3-2-1_52KHA_2021-01-31_final
2021-02-16 11:22:59	ga_s2am_ard_3-2-1_51KXU_2021-02-16_final
2021-03-02 11:03:16	ga_s2am_ard_3-2-1_52KFB_2021-03-02_final
2021-03-11 11:33:02	ga_s2am_ard_3-2-1_51KYT_2021-03-11_final
2021-04-08 10:54:25	ga_s2am_ard_3-2-1_52JGS_2021-04-08_final
2021-04-10 11:34:44	ga_s2am_ard_3-2-1_50JRS_2021-04-10_final
2021-05-04 11:12:59	ga_s2am_ard_3-2-1_52KEC_2021-05-04_final
2021-05-11 11:03:30	ga_s2am_ard_3-2-1_52KFA_2021-05-11_final
2021-05-20 11:34:14	ga_s2am_ard_3-2-1_51KVP_2021-05-20_final
2021-06-09 11:36:47	ga_s2am_ard_3-2-1_51HTD_2021-06-09_final
2021-06-19 11:37:18	ga_s2am_ard_3-2-1_50HQG_2021-06-19_final.stac-item
2021-07-19 11:36:46	ga_s2am_ard_3-2-1_51HUD_2021-07-19_final
2021-09-07 11:35:48	ga_s2am_ard_3-2-1_51JTH_2021-09-07_final
2021-10-04 11:23:05	ga_s2am_ard_3-2-1_51KXU_2021-10-04_final
2021-11-06 11:36:37	ga_s2am_ard_3-2-1_50HQK_2021-11-06_final
2021-11-10 11:15:32	ga_s2am_ard_3-2-1_51JXJ_2021-11-10_final
2022-02-18 11:15:08	ga_s2am_ard_3-2-1_52JBQ_2022-02-18_final
2022-02-20 11:52:21	ga_s2am_ard_3-2-1_50KQG_2022-02-20_final.stac-item
2022-03-09 11:43:15	ga_s2am_ard_3-2-1_51KVT_2022-03-09_final
2022-05-09 11:13:37	ga_s2am_ard_3-2-1_52KDA_2022-05-09_final
2022-05-16 11:03:54	ga_s2am_ard_3-2-1_52KEV_2022-05-16_final
2022-08-20 11:23:05	ga_s2am_ard_3-2-1_51KZU_2022-08-20_final
2022-08-31 10:56:16	ga_s2am_ard_3-2-1_52JEL_2022-08-31_final
2022-10-12 11:31:34	ga_s2am_ard_3-2-1_52LBJ_2022-10-12_final.stac-item
2022-11-05 11:15:14	ga_s2am_ard_3-2-1_51JYK_2022-11-05_final.stac-item
2022-11-18 11:23:08	ga_s2am_ard_3-2-1_51KZT_2022-11-18_final.stac-item
2022-12-25 12:50:59	ga_s2am_ard_3-2-1_48LWP_2022-12-25_final.stac-item
2023-02-03 11:13:53	ga_s2am_ard_3-2-1_51KZQ_2023-02-03_final.stac-item
2023-02-03 11:16:07	ga_s2am_ard_3-2-1_51JYF_2023-02-03_final.stac-item
2023-02-09 11:33:33	ga_s2am_ard_3-2-1_51KUS_2023-02-09_final.stac-item
2023-02-15 11:53:28	ga_s2am_ard_3-2-1_50KMC_2023-02-15_final.stac-item
2023-02-15 11:56:37	ga_s2am_ard_3-2-1_50HLK_2023-02-15_final.stac-item
2023-02-18 12:04:54	ga_s2am_ard_3-2-1_50JKS_2023-02-18_final.stac-item
2023-03-08 11:25:12	ga_s2am_ard_3-2-1_51JVK_2023-03-08_final.stac-item
2023-04-07 11:22:52	ga_s2am_ard_3-2-1_51KZU_2023-04-07_final.stac-item
2023-04-11 11:04:21	ga_s2am_ard_3-2-1_52JDT_2023-04-11_final.stac-item
2023-04-24 11:15:07	ga_s2am_ard_3-2-1_52JBQ_2023-04-24_final.stac-item
2023-06-18 12:05:42	ga_s2am_ard_3-2-1_50JLP_2023-06-18_final.stac-item
2023-06-26 11:26:43	ga_s2am_ard_3-2-1_51HWD_2023-06-26_final.stac-item
2023-07-02 11:42:14	ga_s2am_ard_3-2-1_51KWB_2023-07-02_final.stac-item
2023-07-02 11:42:26	ga_s2am_ard_3-2-1_51KWA_2023-07-02_final.stac-item
2023-07-29 11:35:17	ga_s2am_ard_3-2-1_51JVK_2023-07-29_final.stac-item
2023-08-28 11:33:00	ga_s2am_ard_3-2-1_51KXU_2023-08-28_final.stac-item
2023-10-30 11:43:11	ga_s2am_ard_3-2-1_51KVT_2023-10-30_final.stac-item
2023-10-30 11:45:56	ga_s2am_ard_3-2-1_51JTG_2023-10-30_final.stac-item
2023-11-17 11:02:16	ga_s2am_ard_3-2-1_52KFF_2023-11-17_final.stac-item
2023-12-13 11:23:09	ga_s2am_ard_3-2-1_51KXT_2023-12-13_final.stac-item
2023-12-19 11:43:00	ga_s2am_ard_3-2-1_50KRD_2023-12-19_final.stac-item
2024-01-15 11:33:27	ga_s2am_ard_3-2-1_51KUS_2024-01-15_final.stac-item
2024-01-31 11:53:16	ga_s2am_ard_3-2-1_50KPC_2024-01-31_final.stac-item
2024-02-04 11:32:36	ga_s2am_ard_3-2-1_51KXV_2024-02-04_final.stac-item
2024-02-08 11:12:38	ga_s2am_ard_3-2-1_52KFD_2024-02-08_final.stac-item
2024-02-27 11:44:01	ga_s2am_ard_3-2-1_51KTQ_2024-02-27_final.stac-item
2024-03-06 11:04:22	ga_s2am_ard_3-2-1_52JDT_2024-03-06_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