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
2016-03-18 11:02:07	ga_s2am_ard_3-2-1_52KDV_2016-03-18_final.stac-item
2016-03-21 11:12:12	ga_s2am_ard_3-2-1_52KCA_2016-03-21_final.stac-item
2016-03-29 10:28:49	ga_s2am_ard_3-2-1_53JQM_2016-03-29_final.stac-item
2016-06-17 10:28:04	ga_s2am_ard_3-2-1_53KQS_2016-06-17_final.stac-item
2016-06-20 10:45:18	ga_s2am_ard_3-2-1_53JKH_2016-06-20_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51JTN_2016-06-25_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50JKM_2016-07-01_final.stac-item
2016-08-05 11:01:22	ga_s2am_ard_3-2-1_52JCN_2016-08-05_final.stac-item
2016-09-14 10:57:41	ga_s2am_ard_3-2-1_52JFT_2016-09-14_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JLN_2016-09-19_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50HQJ_2016-10-03_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HPJ_2016-10-26_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49KGP_2016-11-14_final.stac-item
2016-11-23 11:01:01	ga_s2am_ard_3-2-1_52KFD_2016-11-23_final.stac-item
2016-12-26 11:07:06	ga_s2am_ard_3-2-1_52KDV_2016-12-26_final
2017-01-02 10:57:17	ga_s2am_ard_3-2-1_52LHJ_2017-01-02_final
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JWL_2017-01-08_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_49KHR_2017-03-11_final
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_51JVJ_2017-04-21_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50JKQ_2017-10-07_final
2017-11-08 11:02:57	ga_s2am_ard_3-2-1_52JEQ_2017-11-08_final
2018-01-10 11:12:24	ga_s2am_ard_3-2-1_52KEB_2018-01-10_final
2018-03-06 10:17:02	ga_s2am_ard_3-2-1_53KRP_2018-03-06_final
2018-05-17 10:57:18	ga_s2am_ard_3-2-1_52KGC_2018-05-17_final
2018-05-28 10:27:09	ga_s2am_ard_3-2-1_53JQK_2018-05-28_final
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_51KWQ_2018-06-15_final
2018-09-05 10:27:05	ga_s2am_ard_3-2-1_53HMD_2018-09-05_final
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_51KWT_2018-10-03_final
2018-10-07 11:07:09	ga_s2am_ard_3-2-1_52LHN_2018-10-07_final
2018-12-26 11:13:06	ga_s2am_ard_3-2-1_52KBC_2018-12-26_final
2019-01-21 11:37:14	ga_s2am_ard_3-2-1_50HQG_2019-01-21_final.stac-item
2019-04-08 11:22:14	ga_s2am_ard_3-2-1_52KDF_2019-04-08_final
2019-04-14 11:45:23	ga_s2am_ard_3-2-1_50JPQ_2019-04-14_final
2019-07-10 11:34:01	ga_s2am_ard_3-2-1_51KWQ_2019-07-10_final
2019-08-03 11:16:41	ga_s2am_ard_3-2-1_51HYD_2019-08-03_final
2019-08-10 11:06:07	ga_s2am_ard_3-2-1_52JDL_2019-08-10_final
2019-11-09 10:37:01	ga_s2am_ard_3-2-1_53HPA_2019-11-09_final
2019-11-30 11:41:58	ga_s2am_ard_3-2-1_51LVC_2019-11-30_final
2019-12-07 11:33:21	ga_s2am_ard_3-2-1_51KXS_2019-12-07_final
2019-12-12 10:45:25	ga_s2am_ard_3-2-1_53JKH_2019-12-12_final
2020-01-03 11:24:03	ga_s2am_ard_3-2-1_51KYP_2020-01-03_final
2020-01-08 10:36:41	ga_s2am_ard_3-2-1_53HPB_2020-01-08_final
2020-01-20 11:16:52	ga_s2am_ard_3-2-1_51HWC_2020-01-20_final.stac-item
2020-01-24 10:51:22	ga_s2am_ard_3-2-1_53LLD_2020-01-24_final
2020-01-28 10:32:15	ga_s2am_ard_3-2-1_53KQV_2020-01-28_final
2020-02-26 11:01:37	ga_s2am_ard_3-2-1_52LHH_2020-02-26_final
2020-02-29 11:12:33	ga_s2am_ard_3-2-1_52KCE_2020-02-29_final
2020-03-05 12:03:40	ga_s2am_ard_3-2-1_50KKB_2020-03-05_final
2020-04-22 11:24:31	ga_s2am_ard_3-2-1_51JWN_2020-04-22_final
2020-05-24 12:05:03	ga_s2am_ard_3-2-1_49JHM_2020-05-24_final
2020-06-24 11:32:35	ga_s2am_ard_3-2-1_51KWA_2020-06-24_final
2020-06-24 11:33:29	ga_s2am_ard_3-2-1_51KXS_2020-06-24_final
2020-11-25 11:14:30	ga_s2am_ard_3-2-1_51JYN_2020-11-25_final
2020-12-01 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2020-12-01_final
2020-12-21 11:31:34	ga_s2am_ard_3-2-1_51LZD_2020-12-21_final
2021-01-01 11:00:30	ga_s2am_ard_3-2-1_52LHN_2021-01-01_final
2021-01-31 11:04:33	ga_s2am_ard_3-2-1_52JES_2021-01-31_final
2021-03-15 11:11:33	ga_s2am_ard_3-2-1_52LEJ_2021-03-15_final
2021-04-15 10:44:54	ga_s2am_ard_3-2-1_53JKK_2021-04-15_final
2021-05-28 10:55:25	ga_s2am_ard_3-2-1_53JKH_2021-05-28_final
2021-05-31 11:04:04	ga_s2am_ard_3-2-1_52KEU_2021-05-31_final
2021-07-13 11:16:47	ga_s2am_ard_3-2-1_51HWD_2021-07-13_final
2021-08-06 10:55:43	ga_s2am_ard_3-2-1_52JGM_2021-08-06_final
2021-08-27 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2021-08-27_final
2021-08-30 10:34:01	ga_s2am_ard_3-2-1_53JRN_2021-08-30_final
2021-09-28 11:06:03	ga_s2am_ard_3-2-1_52JEL_2021-09-28_final
2021-10-06 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2021-10-06_final
2021-12-06 11:32:57	ga_s2am_ard_3-2-1_51KWU_2021-12-06_final
2021-12-07 11:00:47	ga_s2am_ard_3-2-1_52LGM_2021-12-07_final
2022-01-15 11:33:17	ga_s2am_ard_3-2-1_51KVT_2022-01-15_final
2022-01-25 11:34:11	ga_s2am_ard_3-2-1_51KWP_2022-01-25_final
2022-01-29 11:10:25	ga_s2am_ard_3-2-1_52LHN_2022-01-29_final
2022-03-30 11:14:48	ga_s2am_ard_3-2-1_52JDR_2022-03-30_final
2022-05-22 11:25:10	ga_s2am_ard_3-2-1_51JVL_2022-05-22_final
2022-05-24 12:05:22	ga_s2am_ard_3-2-1_49JGL_2022-05-24_final
2022-06-13 12:04:37	ga_s2am_ard_3-2-1_49KHP_2022-06-13_final
2022-06-17 11:44:16	ga_s2am_ard_3-2-1_50KQV_2022-06-17_final
2022-06-29 10:42:56	ga_s2am_ard_3-2-1_53KMU_2022-06-29_final
2022-07-21 11:25:35	ga_s2am_ard_3-2-1_51JXJ_2022-07-21_final
2022-07-31 11:23:10	ga_s2am_ard_3-2-1_51KXU_2022-07-31_final
2022-08-11 10:53:48	ga_s2am_ard_3-2-1_53KMQ_2022-08-11_final
2022-12-18 11:24:31	ga_s2am_ard_3-2-1_52JBS_2022-12-18_final.stac-item
2023-02-19 11:32:08	ga_s2am_ard_3-2-1_51KXB_2023-02-19_final.stac-item
2023-04-02 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-04-02_final.stac-item
2023-04-06 10:16:52	ga_s2am_ard_3-2-1_53HQB_2023-04-06_final.stac-item
2023-04-14 11:13:00	ga_s2am_ard_3-2-1_52KEC_2023-04-14_final.stac-item
2023-05-06 11:56:11	ga_s2am_ard_3-2-1_50JLM_2023-05-06_final.stac-item
2023-06-18 12:04:25	ga_s2am_ard_3-2-1_50KMU_2023-06-18_final.stac-item
2023-06-22 11:42:02	ga_s2am_ard_3-2-1_51LVC_2023-06-22_final.stac-item
2023-06-27 10:55:28	ga_s2am_ard_3-2-1_53JKH_2023-06-27_final.stac-item
2023-07-03 11:11:35	ga_s2am_ard_3-2-1_52LFJ_2023-07-03_final.stac-item
2023-07-18 10:24:44	ga_s2am_ard_3-2-1_53JQL_2023-07-18_final.stac-item
2023-10-18 11:00:22	ga_s2am_ard_3-2-1_53LKH_2023-10-18_final.stac-item
2023-12-05 10:26:14	ga_s2am_ard_3-2-1_53HQD_2023-12-05_final.stac-item
2023-12-11 10:43:42	ga_s2am_ard_3-2-1_53KLQ_2023-12-11_final.stac-item
2024-01-05 11:35:52	ga_s2am_ard_3-2-1_51JVG_2024-01-05_final.stac-item
2024-02-27 11:44:09	ga_s2am_ard_3-2-1_50KPV_2024-02-27_final.stac-item
2024-03-06 11:02:35	ga_s2am_ard_3-2-1_53KKU_2024-03-06_final.stac-item
2024-03-16 11:00:29	ga_s2am_ard_3-2-1_53LKH_2024-03-16_final.stac-item
2024-03-17 12:13:58	ga_s2am_ard_3-2-1_49KGR_2024-03-17_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