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
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_50HPJ_2015-12-08_final.stac-item
2016-02-18 12:14:37	ga_s2am_ard_3-2-1_49JGM_2016-02-18_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50JPL_2016-04-19_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51HUE_2016-06-12_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_50KKA_2016-08-06_final.stac-item
2016-08-20 11:56:10	ga_s2am_ard_3-2-1_50JLM_2016-08-20_final.stac-item
2016-11-12 11:26:19	ga_s2am_ard_3-2-1_51KWB_2016-11-12_final.stac-item
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50JPL_2017-02-03_final
2017-05-24 11:38:34	ga_s2am_ard_3-2-1_51KVV_2017-05-24_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50JNL_2017-06-13_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50JPL_2017-06-13_final
2017-07-10 11:28:37	ga_s2am_ard_3-2-1_51KVQ_2017-07-10_final
2017-08-06 11:22:11	ga_s2am_ard_3-2-1_51KWQ_2017-08-06_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KWB_2017-09-28_final
2017-11-26 12:05:06	ga_s2am_ard_3-2-1_50JKN_2017-11-26_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51KXS_2017-12-04_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50JPT_2017-12-30_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51KXQ_2018-02-25_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-03-06_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_50JLT_2018-03-06_final
2018-04-26 11:26:22	ga_s2am_ard_3-2-1_51KWB_2018-04-26_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_51KXA_2018-05-06_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50HQJ_2018-10-13_final
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51KVT_2018-11-05_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HNH_2018-11-05_final
2019-03-19 11:24:09	ga_s2am_ard_3-2-1_51KXP_2019-03-19_final
2019-03-22 11:34:13	ga_s2am_ard_3-2-1_51JXN_2019-03-22_final
2019-04-08 11:24:31	ga_s2am_ard_3-2-1_51JWN_2019-04-08_final
2019-04-11 11:37:23	ga_s2am_ard_3-2-1_50HPG_2019-04-11_final.stac-item
2019-05-04 11:43:39	ga_s2am_ard_3-2-1_51KVR_2019-05-04_final
2019-05-04 11:44:02	ga_s2am_ard_3-2-1_51KUQ_2019-05-04_final
2019-05-04 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-05-04_final
2019-05-24 11:43:00	ga_s2am_ard_3-2-1_51KVU_2019-05-24_final
2019-05-30 12:05:43	ga_s2am_ard_3-2-1_50JKP_2019-05-30_final
2019-06-13 11:47:09	ga_s2am_ard_3-2-1_50HNH_2019-06-13_final
2019-06-17 11:23:46	ga_s2am_ard_3-2-1_51KXR_2019-06-17_final
2019-07-03 11:46:24	ga_s2am_ard_3-2-1_50JPL_2019-07-03_final
2019-07-17 11:27:07	ga_s2am_ard_3-2-1_51HUC_2019-07-17_final
2019-08-22 11:43:02	ga_s2am_ard_3-2-1_51KUU_2019-08-22_final
2019-11-07 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2019-11-07_final
2019-12-10 11:42:10	ga_s2am_ard_3-2-1_51KVB_2019-12-10_final
2019-12-26 12:04:22	ga_s2am_ard_3-2-1_49KHP_2019-12-26_final
2020-02-15 11:36:54	ga_s2am_ard_3-2-1_51HTC_2020-02-15_final
2020-04-05 11:36:54	ga_s2am_ard_3-2-1_51HUC_2020-04-05_final
2020-07-03 12:05:20	ga_s2am_ard_3-2-1_49JGL_2020-07-03_final
2020-07-24 11:32:20	ga_s2am_ard_3-2-1_51KWB_2020-07-24_final
2020-09-15 11:43:22	ga_s2am_ard_3-2-1_51KTT_2020-09-15_final
2020-10-02 11:33:55	ga_s2am_ard_3-2-1_51KWQ_2020-10-02_final
2020-11-11 11:33:31	ga_s2am_ard_3-2-1_51KWS_2020-11-11_final
2020-11-18 11:25:06	ga_s2am_ard_3-2-1_51JVL_2020-11-18_final
2020-12-14 11:42:57	ga_s2am_ard_3-2-1_51KUU_2020-12-14_final
2021-01-06 11:54:09	ga_s2am_ard_3-2-1_50KNV_2021-01-06_final
2021-03-21 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2021-03-21_final
2021-04-03 11:43:01	ga_s2am_ard_3-2-1_50KRD_2021-04-03_final
2021-04-14 11:16:17	ga_s2am_ard_3-2-1_51HYE_2021-04-14_final
2021-07-09 11:34:57	ga_s2am_ard_3-2-1_51JWL_2021-07-09_final
2021-07-25 11:53:24	ga_s2am_ard_3-2-1_50KPC_2021-07-25_final
2021-07-31 12:14:01	ga_s2am_ard_3-2-1_49KGR_2021-07-31_final
2021-08-12 11:16:43	ga_s2am_ard_3-2-1_51HXD_2021-08-12_final
2021-11-06 11:34:09	ga_s2am_ard_3-2-1_51KXP_2021-11-06_final
2021-11-12 11:56:10	ga_s2am_ard_3-2-1_50JMM_2021-11-12_final
2021-12-12 11:54:04	ga_s2am_ard_3-2-1_50KPV_2021-12-12_final
2022-01-12 11:24:16	ga_s2am_ard_3-2-1_51KWP_2022-01-12_final
2022-01-18 11:43:12	ga_s2am_ard_3-2-1_51KVT_2022-01-18_final
2022-01-19 11:14:23	ga_s2am_ard_3-2-1_51JZN_2022-01-19_final
2022-02-21 11:27:03	ga_s2am_ard_3-2-1_51HUC_2022-02-21_final
2022-02-24 11:36:22	ga_s2am_ard_3-2-1_50JQL_2022-02-24_final
2022-02-27 11:46:44	ga_s2am_ard_3-2-1_50HMK_2022-02-27_final
2022-03-16 11:34:03	ga_s2am_ard_3-2-1_51KVQ_2022-03-16_final
2022-04-18 11:44:44	ga_s2am_ard_3-2-1_51JUM_2022-04-18_final
2022-05-12 11:25:13	ga_s2am_ard_3-2-1_51JXK_2022-05-12_final
2022-05-21 11:53:24	ga_s2am_ard_3-2-1_50KQC_2022-05-21_final
2022-07-14 11:37:15	ga_s2am_ard_3-2-1_50HQH_2022-07-14_final
2022-07-17 11:43:37	ga_s2am_ard_3-2-1_51KVS_2022-07-17_final
2022-07-17 11:46:31	ga_s2am_ard_3-2-1_50JPL_2022-07-17_final
2022-09-09 11:25:10	ga_s2am_ard_3-2-1_51JWL_2022-09-09_final.stac-item
2022-11-20 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2022-11-20_final.stac-item
2022-12-23 12:14:39	ga_s2am_ard_3-2-1_49JGN_2022-12-23_final.stac-item
2023-01-30 11:33:32	ga_s2am_ard_3-2-1_51KUS_2023-01-30_final.stac-item
2023-02-28 12:03:38	ga_s2am_ard_3-2-1_50KLB_2023-02-28_final.stac-item
2023-03-04 11:47:03	ga_s2am_ard_3-2-1_50HNH_2023-03-04_final.stac-item
2023-03-10 12:03:54	ga_s2am_ard_3-2-1_50KKA_2023-03-10_final.stac-item
2023-03-21 11:36:45	ga_s2am_ard_3-2-1_51HTD_2023-03-21_final.stac-item
2023-05-10 11:34:43	ga_s2am_ard_3-2-1_51JVM_2023-05-10_final.stac-item
2023-07-15 11:56:04	ga_s2am_ard_3-2-1_50JKN_2023-07-15_final.stac-item
2023-07-18 12:03:28	ga_s2am_ard_3-2-1_50KMC_2023-07-18_final.stac-item
2023-07-19 11:37:05	ga_s2am_ard_3-2-1_51HTC_2023-07-19_final.stac-item
2023-07-31 12:13:59	ga_s2am_ard_3-2-1_50KKA_2023-07-31_final.stac-item
2023-08-17 12:05:21	ga_s2am_ard_3-2-1_49JGL_2023-08-17_final.stac-item
2023-08-31 11:42:47	ga_s2am_ard_3-2-1_51KVV_2023-08-31_final.stac-item
2023-08-31 11:44:03	ga_s2am_ard_3-2-1_51KUQ_2023-08-31_final.stac-item
2023-10-10 11:42:56	ga_s2am_ard_3-2-1_51KVU_2023-10-10_final.stac-item
2023-11-29 11:46:11	ga_s2am_ard_3-2-1_50JPL_2023-11-29_final.stac-item
2024-01-15 11:32:54	ga_s2am_ard_3-2-1_51KVU_2024-01-15_final.stac-item
2024-02-14 11:35:13	ga_s2am_ard_3-2-1_51JUK_2024-02-14_final.stac-item
2024-02-17 11:42:11	ga_s2am_ard_3-2-1_51KVB_2024-02-17_final.stac-item
2024-02-17 11:47:00	ga_s2am_ard_3-2-1_50HPH_2024-02-17_final.stac-item
2024-02-24 11:33:25	ga_s2am_ard_3-2-1_51KWS_2024-02-24_final.stac-item
2024-04-04 11:36:21	ga_s2am_ard_3-2-1_50JPL_2024-04-04_final.stac-item
2024-04-07 11:43:15	ga_s2am_ard_3-2-1_51KVT_2024-04-07_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