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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51HUC_2015-11-25_final.stac-item
2015-12-21 11:43:03	ga_s2am_ard_3-2-1_51KWB_2015-12-21_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_52KDD_2016-05-10_final.stac-item
2016-05-20 11:12:21	ga_s2am_ard_3-2-1_52KBA_2016-05-20_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_51JYK_2016-05-30_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50HPJ_2016-10-03_final.stac-item
2016-10-10 11:22:34	ga_s2am_ard_3-2-1_52KBB_2016-10-10_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HNH_2016-10-26_final.stac-item
2016-10-29 11:43:41	ga_s2am_ard_3-2-1_50KNV_2016-10-29_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51KVA_2016-11-22_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51KYS_2017-01-18_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_52KBC_2017-01-18_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51JWH_2017-03-19_final
2017-04-22 11:03:00	ga_s2am_ard_3-2-1_52JBM_2017-04-22_final
2017-05-18 11:21:00	ga_s2am_ard_3-2-1_51KXQ_2017-05-18_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51JVH_2017-09-08_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50HMH_2017-09-21_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_52KBB_2017-12-04_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50JPP_2017-12-10_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JWM_2018-01-13_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50JKM_2018-02-11_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52JCT_2018-02-19_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_50HPK_2018-02-25_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51HUD_2018-05-26_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50KRV_2018-06-08_final
2018-06-25 11:26:21	ga_s2am_ard_3-2-1_51KXT_2018-06-25_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51JTJ_2018-08-04_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49JFM_2018-08-06_final
2018-11-18 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2018-11-18_final
2019-01-28 11:23:36	ga_s2am_ard_3-2-1_51KYR_2019-01-28_final
2019-02-04 11:14:03	ga_s2am_ard_3-2-1_52KCU_2019-02-04_final
2019-02-07 11:22:20	ga_s2am_ard_3-2-1_51KZA_2019-02-07_final
2019-02-18 10:55:42	ga_s2am_ard_3-2-1_52JFM_2019-02-18_final
2019-03-05 11:42:37	ga_s2am_ard_3-2-1_51KVV_2019-03-05_final
2019-03-19 11:23:03	ga_s2am_ard_3-2-1_52KBC_2019-03-19_final
2019-03-22 11:36:55	ga_s2am_ard_3-2-1_51HUC_2019-03-22_final
2019-04-30 12:06:08	ga_s2am_ard_3-2-1_50JLM_2019-04-30_final
2019-06-04 11:15:53	ga_s2am_ard_3-2-1_52JBM_2019-06-04_final
2019-07-19 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2019-07-19_final
2019-07-24 11:13:42	ga_s2am_ard_3-2-1_52KCA_2019-07-24_final
2019-08-06 11:26:44	ga_s2am_ard_3-2-1_51HWD_2019-08-06_final
2019-09-01 11:44:24	ga_s2am_ard_3-2-1_50KPU_2019-09-01_final
2019-10-11 11:46:33	ga_s2am_ard_3-2-1_50HQK_2019-10-11_final
2020-01-06 11:33:07	ga_s2am_ard_3-2-1_51KWT_2020-01-06_final
2020-02-29 11:16:39	ga_s2am_ard_3-2-1_51HWD_2020-02-29_final
2020-03-16 11:32:59	ga_s2am_ard_3-2-1_51KYT_2020-03-16_final
2020-03-29 11:44:47	ga_s2am_ard_3-2-1_51JUL_2020-03-29_final
2020-04-02 11:22:08	ga_s2am_ard_3-2-1_51KYB_2020-04-02_final
2020-04-03 10:54:43	ga_s2am_ard_3-2-1_52JGR_2020-04-03_final
2020-04-12 11:21:24	ga_s2am_ard_3-2-1_51LZE_2020-04-12_final
2020-04-16 11:04:55	ga_s2am_ard_3-2-1_52JCR_2020-04-16_final
2020-04-24 12:05:31	ga_s2am_ard_3-2-1_49JGK_2020-04-24_final
2020-05-24 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-05-24_final
2020-07-21 11:23:55	ga_s2am_ard_3-2-1_52KBV_2020-07-21_final
2020-07-21 11:27:07	ga_s2am_ard_3-2-1_51HUC_2020-07-21_final
2020-08-03 11:33:03	ga_s2am_ard_3-2-1_51KWU_2020-08-03_final
2020-10-12 11:33:00	ga_s2am_ard_3-2-1_51KXU_2020-10-12_final
2020-10-29 11:26:41	ga_s2am_ard_3-2-1_51HXD_2020-10-29_final
2020-12-11 11:34:14	ga_s2am_ard_3-2-1_51KUP_2020-12-11_final
2020-12-15 11:13:37	ga_s2am_ard_3-2-1_52KBA_2020-12-15_final
2020-12-18 11:23:55	ga_s2am_ard_3-2-1_51KXQ_2020-12-18_final
2020-12-21 11:32:10	ga_s2am_ard_3-2-1_51KXB_2020-12-21_final
2021-01-14 11:15:25	ga_s2am_ard_3-2-1_51JYJ_2021-01-14_final
2021-01-30 11:33:16	ga_s2am_ard_3-2-1_51KVT_2021-01-30_final
2021-02-12 11:42:59	ga_s2am_ard_3-2-1_51KUU_2021-02-12_final
2021-02-12 11:43:57	ga_s2am_ard_3-2-1_51KUQ_2021-02-12_final
2021-02-26 11:26:47	ga_s2am_ard_3-2-1_51HUD_2021-02-26_final
2021-04-07 11:26:42	ga_s2am_ard_3-2-1_51HVD_2021-04-07_final
2021-04-20 11:36:27	ga_s2am_ard_3-2-1_51HTE_2021-04-20_final
2021-07-02 11:46:57	ga_s2am_ard_3-2-1_50HMJ_2021-07-02_final
2021-07-22 11:45:47	ga_s2am_ard_3-2-1_51JTH_2021-07-22_final
2021-09-14 11:23:44	ga_s2am_ard_3-2-1_51KXR_2021-09-14_final
2021-09-23 11:53:28	ga_s2am_ard_3-2-1_50KNC_2021-09-23_final
2021-11-10 11:15:42	ga_s2am_ard_3-2-1_51JYH_2021-11-10_final
2021-12-07 11:06:02	ga_s2am_ard_3-2-1_52JDL_2021-12-07_final
2022-04-12 11:27:00	ga_s2am_ard_3-2-1_51HVC_2022-04-12_final
2022-04-29 11:14:34	ga_s2am_ard_3-2-1_51JYN_2022-04-29_final
2022-05-12 11:26:00	ga_s2am_ard_3-2-1_51JWG_2022-05-12_final
2022-06-18 11:15:44	ga_s2am_ard_3-2-1_52JCN_2022-06-18_final
2022-07-15 11:05:46	ga_s2am_ard_3-2-1_52JDN_2022-07-15_final
2022-07-20 11:56:34	ga_s2am_ard_3-2-1_50JML_2022-07-20_final
2022-08-07 11:13:51	ga_s2am_ard_3-2-1_52KBA_2022-08-07_final
2022-08-24 11:04:56	ga_s2am_ard_3-2-1_52JFR_2022-08-24_final
2022-09-30 10:54:26	ga_s2am_ard_3-2-1_52JHS_2022-09-30_final.stac-item
2022-11-04 13:21:42	ga_s2am_ard_3-2-1_47LKH_2022-11-04_interim.stac-item
2022-11-07 11:53:25	ga_s2am_ard_3-2-1_50KPC_2022-11-07_final.stac-item
2022-12-21 11:32:20	ga_s2am_ard_3-2-1_51KYA_2022-12-21_final.stac-item
2022-12-25 11:12:22	ga_s2am_ard_3-2-1_52KCF_2022-12-25_final.stac-item
2023-01-20 11:32:27	ga_s2am_ard_3-2-1_51KVA_2023-01-20_final.stac-item
2023-02-15 11:56:11	ga_s2am_ard_3-2-1_50JKM_2023-02-15_final.stac-item
2023-02-22 11:43:09	ga_s2am_ard_3-2-1_51KVT_2023-02-22_final.stac-item
2023-03-17 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2023-03-17_final.stac-item
2023-03-24 11:46:28	ga_s2am_ard_3-2-1_50HQK_2023-03-24_final.stac-item
2023-03-31 11:36:59	ga_s2am_ard_3-2-1_51HTC_2023-03-31_final.stac-item
2023-05-13 11:42:13	ga_s2am_ard_3-2-1_51KVB_2023-05-13_final.stac-item
2023-05-18 10:56:02	ga_s2am_ard_3-2-1_52JFL_2023-05-18_final.stac-item
2023-06-06 11:23:04	ga_s2am_ard_3-2-1_51KXU_2023-06-06_final.stac-item
2023-06-25 11:56:11	ga_s2am_ard_3-2-1_50JMM_2023-06-25_final.stac-item
2023-08-08 11:36:38	ga_s2am_ard_3-2-1_50HQK_2023-08-08_final.stac-item
2023-09-21 11:16:38	ga_s2am_ard_3-2-1_51HYD_2023-09-21_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