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
2015-08-25 10:45:29	ga_s2am_ard_3-2-1_53HMD_2015-08-25_final.stac-item
2015-10-21 10:35:59	ga_s2am_ard_3-2-1_53HPA_2015-10-21_final.stac-item
2016-01-31 11:12:11	ga_s2am_ard_3-2-1_52KFF_2016-01-31_final.stac-item
2016-07-16 10:57:59	ga_s2am_ard_3-2-1_52KEC_2016-07-16_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_51KUV_2016-07-28_final.stac-item
2016-11-29 11:23:19	ga_s2am_ard_3-2-1_51KXS_2016-11-29_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KXV_2017-01-01_final
2017-01-02 10:57:17	ga_s2am_ard_3-2-1_53KLB_2017-01-02_final
2017-01-03 10:33:32	ga_s2am_ard_3-2-1_53HND_2017-01-03_final
2017-01-19 10:47:10	ga_s2am_ard_3-2-1_53LPF_2017-01-19_final
2017-04-09 10:53:13	ga_s2am_ard_3-2-1_53JKG_2017-04-09_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50KMC_2017-10-17_final
2017-11-11 11:12:13	ga_s2am_ard_3-2-1_52KBA_2017-11-11_final
2017-11-19 10:28:06	ga_s2am_ard_3-2-1_53KRS_2017-11-19_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_52KBA_2017-12-11_final
2018-01-04 10:52:09	ga_s2am_ard_3-2-1_53KNV_2018-01-04_final
2018-02-15 11:34:02	ga_s2am_ard_3-2-1_51JVJ_2018-02-15_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_52KBU_2018-02-22_final
2018-04-03 11:23:03	ga_s2am_ard_3-2-1_51KWQ_2018-04-03_final
2018-04-07 10:57:16	ga_s2am_ard_3-2-1_52LHN_2018-04-07_final
2018-06-02 11:17:00	ga_s2am_ard_3-2-1_51KYV_2018-06-02_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52JDP_2018-06-09_final
2018-06-22 11:20:28	ga_s2am_ard_3-2-1_51KZU_2018-06-22_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_50JKT_2018-08-03_final
2018-09-13 11:26:17	ga_s2am_ard_3-2-1_51KXT_2018-09-13_final
2018-10-23 09:50:51	ga_s2am_ard_3-2-1_54HXC_2018-10-23_final
2018-10-30 11:16:56	ga_s2am_ard_3-2-1_51KXR_2018-10-30_final
2018-11-29 11:23:08	ga_s2am_ard_3-2-1_52KCB_2018-11-29_final
2019-01-01 09:57:30	ga_s2am_ard_3-2-1_54HYC_2019-01-01_final
2019-02-03 11:43:00	ga_s2am_ard_3-2-1_51KTU_2019-02-03_final
2019-03-01 10:26:27	ga_s2am_ard_3-2-1_53HQC_2019-03-01_final
2019-04-22 11:04:46	ga_s2am_ard_3-2-1_52JFR_2019-04-22_final
2019-04-23 10:36:35	ga_s2am_ard_3-2-1_53HPC_2019-04-23_final
2019-05-19 10:54:15	ga_s2am_ard_3-2-1_52JHT_2019-05-19_final
2019-06-10 09:56:48	ga_s2am_ard_3-2-1_54HXG_2019-06-10_final
2019-06-11 11:05:11	ga_s2am_ard_3-2-1_52JCQ_2019-06-11_final
2019-06-21 11:04:51	ga_s2am_ard_3-2-1_52JER_2019-06-21_final
2019-07-04 11:15:23	ga_s2am_ard_3-2-1_52JCP_2019-07-04_final
2019-09-02 11:10:37	ga_s2am_ard_3-2-1_52LHM_2019-09-02_final
2019-12-14 11:24:32	ga_s2am_ard_3-2-1_51JYM_2019-12-14_final
2019-12-24 11:23:29	ga_s2am_ard_3-2-1_52KBA_2019-12-24_final
2020-01-07 11:00:23	ga_s2am_ard_3-2-1_53LKH_2020-01-07_final
2020-01-14 10:50:36	ga_s2am_ard_3-2-1_53LMG_2020-01-14_final
2020-01-24 10:51:55	ga_s2am_ard_3-2-1_53KKB_2020-01-24_final
2020-01-26 11:32:51	ga_s2am_ard_3-2-1_51KWU_2020-01-26_final
2020-02-04 10:26:42	ga_s2am_ard_3-2-1_53HPB_2020-02-04_final
2020-02-06 11:02:39	ga_s2am_ard_3-2-1_52KFD_2020-02-06_final
2020-04-15 11:33:01	ga_s2am_ard_3-2-1_51KVU_2020-04-15_final
2020-04-16 11:02:54	ga_s2am_ard_3-2-1_52KHC_2020-04-16_final
2020-04-18 11:42:13	ga_s2am_ard_3-2-1_51KVB_2020-04-18_final
2020-04-24 10:26:55	ga_s2am_ard_3-2-1_53HNB_2020-04-24_final
2020-06-14 11:37:23	ga_s2am_ard_3-2-1_50HQG_2020-06-14_final.stac-item
2020-06-24 11:32:20	ga_s2am_ard_3-2-1_51KWB_2020-06-24_final
2020-07-28 11:13:39	ga_s2am_ard_3-2-1_52KDA_2020-07-28_final
2020-11-08 11:24:09	ga_s2am_ard_3-2-1_52KBU_2020-11-08_final
2021-01-14 11:13:40	ga_s2am_ard_3-2-1_52KBA_2021-01-14_final
2021-01-16 11:54:05	ga_s2am_ard_3-2-1_50KPV_2021-01-16_final
2021-02-03 11:11:34	ga_s2am_ard_3-2-1_52LEJ_2021-02-03_final
2021-02-17 10:50:37	ga_s2am_ard_3-2-1_53LNG_2021-02-17_final
2021-03-01 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2021-03-01_final
2021-03-03 10:35:08	ga_s2am_ard_3-2-1_54JTN_2021-03-03_final
2021-03-22 11:00:27	ga_s2am_ard_3-2-1_53LKH_2021-03-22_final
2021-05-07 11:24:03	ga_s2am_ard_3-2-1_51KZP_2021-05-07_final
2021-05-16 10:16:24	ga_s2am_ard_3-2-1_54HWH_2021-05-16_final
2022-01-01 11:56:27	ga_s2am_ard_3-2-1_50JLL_2022-01-01_final
2022-01-09 11:13:46	ga_s2am_ard_3-2-1_52KEV_2022-01-09_final
2022-01-14 10:24:35	ga_s2am_ard_3-2-1_54JTR_2022-01-14_final
2022-01-17 10:34:08	ga_s2am_ard_3-2-1_53JPN_2022-01-17_final
2022-01-27 10:36:50	ga_s2am_ard_3-2-1_53HNB_2022-01-27_final
2022-02-26 10:34:32	ga_s2am_ard_3-2-1_54JTR_2022-02-26_final
2022-04-25 11:37:26	ga_s2am_ard_3-2-1_50HPG_2022-04-25_final.stac-item
2022-07-07 10:06:33	ga_s2am_ard_3-2-1_54HYH_2022-07-07_final
2022-07-10 11:53:37	ga_s2am_ard_3-2-1_50KNC_2022-07-10_final
2022-07-16 10:36:08	ga_s2am_ard_3-2-1_53JMF_2022-07-16_final
2022-07-30 10:16:48	ga_s2am_ard_3-2-1_54HWG_2022-07-30_final
2022-08-30 11:24:17	ga_s2am_ard_3-2-1_52KBU_2022-08-30_final
2022-09-21 10:26:58	ga_s2am_ard_3-2-1_54HUF_2022-09-21_final.stac-item
2022-10-12 11:32:20	ga_s2am_ard_3-2-1_51KWB_2022-10-12_final.stac-item
2022-10-21 10:24:27	ga_s2am_ard_3-2-1_53JRM_2022-10-21_final.stac-item
2022-11-18 11:24:46	ga_s2am_ard_3-2-1_51JWM_2022-11-18_final.stac-item
2022-12-13 10:34:29	ga_s2am_ard_3-2-1_54JTR_2022-12-13_final.stac-item
2023-01-12 10:35:01	ga_s2am_ard_3-2-1_53JQJ_2023-01-12_final.stac-item
2023-01-17 11:22:04	ga_s2am_ard_3-2-1_52KBG_2023-01-17_final.stac-item
2023-01-30 11:32:56	ga_s2am_ard_3-2-1_51KWU_2023-01-30_final.stac-item
2023-03-05 11:14:06	ga_s2am_ard_3-2-1_52KBU_2023-03-05_final.stac-item
2023-03-08 11:23:16	ga_s2am_ard_3-2-1_52KBB_2023-03-08_final.stac-item
2023-03-27 11:56:28	ga_s2am_ard_3-2-1_50HNK_2023-03-27_final.stac-item
2023-06-25 11:56:07	ga_s2am_ard_3-2-1_50JNM_2023-06-25_final.stac-item
2023-07-09 11:37:03	ga_s2am_ard_3-2-1_51HUC_2023-07-09_final.stac-item
2023-08-04 10:17:08	ga_s2am_ard_3-2-1_54HWE_2023-08-04_final.stac-item
2023-10-24 11:21:35	ga_s2am_ard_3-2-1_52LCJ_2023-10-24_final.stac-item
2023-11-11 10:44:34	ga_s2am_ard_3-2-1_53JNL_2023-11-11_final.stac-item
2023-11-23 11:23:57	ga_s2am_ard_3-2-1_51KWQ_2023-11-23_final.stac-item
2023-12-28 10:33:28	ga_s2am_ard_3-2-1_53KRQ_2023-12-28_final.stac-item
2024-02-07 10:07:25	ga_s2am_ard_3-2-1_54HVD_2024-02-07_final.stac-item
2024-04-01 11:24:03	ga_s2am_ard_3-2-1_52KBU_2024-04-01_final.stac-item
2024-04-13 10:24:50	ga_s2am_ard_3-2-1_54JTQ_2024-04-13_final.stac-item
2024-04-16 10:34:44	ga_s2am_ard_3-2-1_53JPL_2024-04-16_final.stac-item
2024-05-09 10:43:54	ga_s2am_ard_3-2-1_53KNP_2024-05-09_final.stac-item
2024-05-20 10:17:27	ga_s2am_ard_3-2-1_54HVD_2024-05-20_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