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
2016-01-31 11:12:11	ga_s2am_ard_3-2-1_52KCU_2016-01-31_final.stac-item
2016-07-07 12:14:44	ga_s2am_ard_3-2-1_49JGN_2016-07-07_final.stac-item
2016-08-31 11:22:38	ga_s2am_ard_3-2-1_51KYT_2016-08-31_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_51KUV_2016-09-06_final.stac-item
2016-11-12 11:26:19	ga_s2am_ard_3-2-1_51KWS_2016-11-12_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51JVF_2016-12-12_final
2017-03-10 10:52:09	ga_s2am_ard_3-2-1_52KGV_2017-03-10_final
2017-04-17 11:56:08	ga_s2am_ard_3-2-1_50JLM_2017-04-17_final
2017-05-13 12:13:24	ga_s2am_ard_3-2-1_50KKB_2017-05-13_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50JKM_2017-07-09_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JVJ_2017-10-05_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50HMG_2017-10-24_final.stac-item
2018-03-07 11:30:40	ga_s2am_ard_3-2-1_51KWU_2018-03-07_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_51KYT_2018-05-16_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JKT_2018-05-25_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51JTJ_2018-05-26_final
2018-06-02 11:17:00	ga_s2am_ard_3-2-1_51KZT_2018-06-02_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KXU_2018-06-05_final
2018-06-16 10:57:15	ga_s2am_ard_3-2-1_52KHA_2018-06-16_final
2018-07-22 11:25:32	ga_s2am_ard_3-2-1_51JXH_2018-07-22_final
2018-08-18 11:12:58	ga_s2am_ard_3-2-1_52KBV_2018-08-18_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JMM_2018-08-20_final
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_50JQM_2018-10-03_final
2018-10-07 11:13:21	ga_s2am_ard_3-2-1_51HWD_2018-10-07_final
2018-11-12 11:32:35	ga_s2am_ard_3-2-1_51KXV_2018-11-12_final
2019-03-25 11:43:02	ga_s2am_ard_3-2-1_51KTU_2019-03-25_final
2019-04-08 11:23:15	ga_s2am_ard_3-2-1_51KXT_2019-04-08_final
2019-04-28 11:23:00	ga_s2am_ard_3-2-1_52KBD_2019-04-28_final
2019-04-29 10:52:34	ga_s2am_ard_3-2-1_52KHE_2019-04-29_final
2019-05-13 12:15:03	ga_s2am_ard_3-2-1_49JFM_2019-05-13_final
2019-05-31 11:32:43	ga_s2am_ard_3-2-1_51KXV_2019-05-31_final
2019-05-31 11:33:11	ga_s2am_ard_3-2-1_51KXT_2019-05-31_final
2019-06-10 11:33:01	ga_s2am_ard_3-2-1_51KVU_2019-06-10_final
2019-06-13 11:43:32	ga_s2am_ard_3-2-1_51KUS_2019-06-13_final
2019-07-13 11:43:30	ga_s2am_ard_3-2-1_51KVS_2019-07-13_final
2019-08-20 11:03:01	ga_s2am_ard_3-2-1_52KGC_2019-08-20_final
2019-09-25 11:23:43	ga_s2am_ard_3-2-1_51KXR_2019-09-25_final
2019-10-28 11:34:14	ga_s2am_ard_3-2-1_51KWP_2019-10-28_final
2019-12-14 11:23:38	ga_s2am_ard_3-2-1_51KXR_2019-12-14_final
2019-12-14 11:24:00	ga_s2am_ard_3-2-1_51KZP_2019-12-14_final
2019-12-27 11:33:11	ga_s2am_ard_3-2-1_51KVT_2019-12-27_final
2020-01-06 11:33:57	ga_s2am_ard_3-2-1_51KUQ_2020-01-06_final
2020-01-06 11:34:12	ga_s2am_ard_3-2-1_51KUP_2020-01-06_final
2020-01-27 11:02:43	ga_s2am_ard_3-2-1_52KGD_2020-01-27_final
2020-03-05 12:05:51	ga_s2am_ard_3-2-1_50JKN_2020-03-05_final
2020-04-22 11:23:15	ga_s2am_ard_3-2-1_51KXT_2020-04-22_final
2020-05-02 11:23:06	ga_s2am_ard_3-2-1_52KCC_2020-05-02_final
2020-06-11 11:24:04	ga_s2am_ard_3-2-1_51KWQ_2020-06-11_final
2020-07-18 11:13:35	ga_s2am_ard_3-2-1_52KEA_2020-07-18_final
2020-07-28 11:13:21	ga_s2am_ard_3-2-1_52KEB_2020-07-28_final
2020-07-31 11:24:11	ga_s2am_ard_3-2-1_52KBU_2020-07-31_final
2020-12-08 11:22:45	ga_s2am_ard_3-2-1_52KCD_2020-12-08_final
2020-12-24 11:43:14	ga_s2am_ard_3-2-1_51KUT_2020-12-24_final
2021-02-02 11:42:46	ga_s2am_ard_3-2-1_51KUV_2021-02-02_final
2021-02-06 11:23:20	ga_s2am_ard_3-2-1_52KBB_2021-02-06_final
2021-03-12 11:03:09	ga_s2am_ard_3-2-1_52KHB_2021-03-12_final
2021-03-31 11:33:00	ga_s2am_ard_3-2-1_51KYT_2021-03-31_final
2021-04-10 11:36:19	ga_s2am_ard_3-2-1_51HVE_2021-04-10_final
2021-05-07 11:23:48	ga_s2am_ard_3-2-1_52KBV_2021-05-07_final
2021-06-09 11:37:12	ga_s2am_ard_3-2-1_50HQH_2021-06-09_final
2021-07-18 12:05:42	ga_s2am_ard_3-2-1_49JGJ_2021-07-18_final
2021-07-29 11:33:41	ga_s2am_ard_3-2-1_51KXR_2021-07-29_final
2021-08-25 11:23:12	ga_s2am_ard_3-2-1_51KYT_2021-08-25_final
2021-10-14 11:23:55	ga_s2am_ard_3-2-1_52KBV_2021-10-14_final
2021-12-06 11:32:31	ga_s2am_ard_3-2-1_51KVA_2021-12-06_final
2021-12-26 11:32:44	ga_s2am_ard_3-2-1_51KXV_2021-12-26_final
2022-01-15 11:33:02	ga_s2am_ard_3-2-1_51KVU_2022-01-15_final
2022-01-16 11:06:24	ga_s2am_ard_3-2-1_52HBK_2022-01-16_final
2022-01-28 11:41:55	ga_s2am_ard_3-2-1_51LWC_2022-01-28_final
2022-03-02 11:56:17	ga_s2am_ard_3-2-1_50JKM_2022-03-02_final
2022-03-30 11:16:05	ga_s2am_ard_3-2-1_52JCL_2022-03-30_final
2022-04-18 11:44:44	ga_s2am_ard_3-2-1_51JUM_2022-04-18_final
2022-04-29 11:13:19	ga_s2am_ard_3-2-1_52KBC_2022-04-29_final
2022-05-05 11:36:38	ga_s2am_ard_3-2-1_51HUE_2022-05-05_final
2022-07-21 11:25:10	ga_s2am_ard_3-2-1_51JWL_2022-07-21_final
2022-07-24 11:33:19	ga_s2am_ard_3-2-1_51KXT_2022-07-24_final
2022-07-28 11:13:46	ga_s2am_ard_3-2-1_52KCA_2022-07-28_final
2022-08-13 11:33:50	ga_s2am_ard_3-2-1_51KXR_2022-08-13_final
2022-08-20 11:24:17	ga_s2am_ard_3-2-1_51KZP_2022-08-20_final
2022-11-17 11:53:24	ga_s2am_ard_3-2-1_50KPC_2022-11-17_final.stac-item
2023-02-09 11:32:31	ga_s2am_ard_3-2-1_51KVA_2023-02-09_final.stac-item
2023-02-12 11:43:27	ga_s2am_ard_3-2-1_51KUS_2023-02-12_final.stac-item
2023-03-01 11:32:05	ga_s2am_ard_3-2-1_51KYB_2023-03-01_final.stac-item
2023-04-07 11:23:39	ga_s2am_ard_3-2-1_51KYR_2023-04-07_final.stac-item
2023-04-30 11:32:40	ga_s2am_ard_3-2-1_51KXV_2023-04-30_final.stac-item
2023-05-04 11:13:37	ga_s2am_ard_3-2-1_52KCA_2023-05-04_final.stac-item
2023-05-27 11:23:04	ga_s2am_ard_3-2-1_51KXU_2023-05-27_final.stac-item
2023-06-06 11:24:01	ga_s2am_ard_3-2-1_51KXQ_2023-06-06_final.stac-item
2023-06-13 11:13:43	ga_s2am_ard_3-2-1_52KBA_2023-06-13_final.stac-item
2023-07-03 11:14:02	ga_s2am_ard_3-2-1_52KEU_2023-07-03_final.stac-item
2023-09-17 11:33:12	ga_s2am_ard_3-2-1_51KXT_2023-09-17_final.stac-item
2023-10-10 11:43:24	ga_s2am_ard_3-2-1_51KVS_2023-10-10_final.stac-item
2023-11-21 10:45:44	ga_s2am_ard_3-2-1_52JGM_2023-11-21_final.stac-item
2024-01-22 11:22:53	ga_s2am_ard_3-2-1_51KXU_2024-01-22_final.stac-item
2024-01-25 11:33:39	ga_s2am_ard_3-2-1_51KVR_2024-01-25_final.stac-item
2024-02-19 10:45:45	ga_s2am_ard_3-2-1_52JGM_2024-02-19_final.stac-item
2024-02-20 11:56:12	ga_s2am_ard_3-2-1_50JKM_2024-02-20_final.stac-item
2024-03-15 11:36:57	ga_s2am_ard_3-2-1_51HUC_2024-03-15_final.stac-item
2024-03-18 11:42:10	ga_s2am_ard_3-2-1_51KWB_2024-03-18_final.stac-item
2024-04-14 11:32:42	ga_s2am_ard_3-2-1_51KXV_2024-04-14_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