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
2015-09-03 11:12:48	ga_s2am_ard_3-2-1_52KBV_2015-09-03_final.stac-item
2016-04-27 11:01:40	ga_s2am_ard_3-2-1_52JEM_2016-04-27_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_51KUR_2016-12-15_final
2016-12-30 10:53:16	ga_s2am_ard_3-2-1_52KHU_2016-12-30_final
2017-02-01 10:57:59	ga_s2am_ard_3-2-1_52KED_2017-02-01_final
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_52KBU_2017-04-28_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_50JKQ_2017-05-30_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KXB_2017-11-07_final
2017-11-11 11:10:35	ga_s2am_ard_3-2-1_52LFM_2017-11-11_final.stac-item
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KVR_2017-12-17_final
2018-04-19 11:40:43	ga_s2am_ard_3-2-1_51KUT_2018-04-19_final
2018-05-07 10:57:18	ga_s2am_ard_3-2-1_52JBM_2018-05-07_final
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HNG_2018-08-07_final.stac-item
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JPR_2018-08-30_final
2018-09-10 11:21:45	ga_s2am_ard_3-2-1_52KBV_2018-09-10_final
2018-09-20 11:24:00	ga_s2am_ard_3-2-1_51JXK_2018-09-20_final
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52JET_2018-11-03_final
2018-12-03 11:00:40	ga_s2am_ard_3-2-1_52LGM_2018-12-03_final
2018-12-19 11:22:39	ga_s2am_ard_3-2-1_52KCD_2018-12-19_final
2018-12-29 11:24:08	ga_s2am_ard_3-2-1_51KWP_2018-12-29_final
2019-01-21 11:33:12	ga_s2am_ard_3-2-1_51KVT_2019-01-21_final
2019-02-04 11:10:34	ga_s2am_ard_3-2-1_52LHM_2019-02-04_final
2019-02-20 11:33:56	ga_s2am_ard_3-2-1_51KVQ_2019-02-20_final
2019-02-26 10:17:00	ga_s2am_ard_3-2-1_53HQA_2019-02-26_final
2019-03-06 11:12:47	ga_s2am_ard_3-2-1_52KCD_2019-03-06_final
2019-03-11 12:04:38	ga_s2am_ard_3-2-1_49JHN_2019-03-11_final
2019-03-17 10:44:57	ga_s2am_ard_3-2-1_53JKK_2019-03-17_final
2019-04-21 11:32:29	ga_s2am_ard_3-2-1_51KXA_2019-04-21_final
2019-05-03 10:36:25	ga_s2am_ard_3-2-1_53HND_2019-05-03_final
2019-05-28 11:23:03	ga_s2am_ard_3-2-1_51KXU_2019-05-28_final
2019-08-29 11:36:58	ga_s2am_ard_3-2-1_51HUC_2019-08-29_final
2019-10-05 11:23:08	ga_s2am_ard_3-2-1_52KBC_2019-10-05_final
2019-10-31 11:43:14	ga_s2am_ard_3-2-1_51KVT_2019-10-31_final
2019-12-01 11:11:36	ga_s2am_ard_3-2-1_52LDJ_2019-12-01_final
2019-12-09 10:31:47	ga_s2am_ard_3-2-1_53KRB_2019-12-09_final
2019-12-27 11:36:46	ga_s2am_ard_3-2-1_50HPJ_2019-12-27_final
2020-02-04 12:04:52	ga_s2am_ard_3-2-1_49JGM_2020-02-04_final
2020-03-03 11:24:18	ga_s2am_ard_3-2-1_51JYN_2020-03-03_final
2020-07-02 10:54:52	ga_s2am_ard_3-2-1_52JFR_2020-07-02_final
2020-07-11 11:23:47	ga_s2am_ard_3-2-1_51KXR_2020-07-11_final
2020-07-16 12:14:03	ga_s2am_ard_3-2-1_49KGR_2020-07-16_final
2020-09-01 12:04:18	ga_s2am_ard_3-2-1_50KKV_2020-09-01_final
2020-09-30 10:52:35	ga_s2am_ard_3-2-1_53KKV_2020-09-30_final
2020-10-07 10:42:18	ga_s2am_ard_3-2-1_53KRV_2020-10-07_final
2020-11-01 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2020-11-01_final
2020-12-17 10:17:02	ga_s2am_ard_3-2-1_53HQA_2020-12-17_final
2020-12-22 11:02:14	ga_s2am_ard_3-2-1_52KGF_2020-12-22_final
2021-02-03 11:11:01	ga_s2am_ard_3-2-1_52LFL_2021-02-03_final
2021-03-09 10:52:44	ga_s2am_ard_3-2-1_52KHD_2021-03-09_final
2021-03-24 11:45:45	ga_s2am_ard_3-2-1_50JQN_2021-03-24_final
2021-04-04 11:10:29	ga_s2am_ard_3-2-1_52LFN_2021-04-04_final.stac-item
2021-06-11 10:33:35	ga_s2am_ard_3-2-1_53KQQ_2021-06-11_final
2021-06-26 11:26:37	ga_s2am_ard_3-2-1_51HXD_2021-06-26_final
2021-08-12 11:10:35	ga_s2am_ard_3-2-1_52LFN_2021-08-12_final.stac-item
2021-08-15 11:22:10	ga_s2am_ard_3-2-1_52KBG_2021-08-15_final
2021-11-07 11:03:34	ga_s2am_ard_3-2-1_52KFA_2021-11-07_final
2021-12-12 11:56:29	ga_s2am_ard_3-2-1_50HNK_2021-12-12_final
2022-01-04 12:05:16	ga_s2am_ard_3-2-1_49JGL_2022-01-04_final
2022-01-17 10:36:30	ga_s2am_ard_3-2-1_53HMD_2022-01-17_final
2022-01-19 11:16:12	ga_s2am_ard_3-2-1_51JXF_2022-01-19_final
2022-02-11 11:22:04	ga_s2am_ard_3-2-1_52KCG_2022-02-11_final
2022-02-16 10:34:19	ga_s2am_ard_3-2-1_53JQM_2022-02-16_final
2022-03-01 10:44:27	ga_s2am_ard_3-2-1_53JMM_2022-03-01_final
2022-03-20 11:10:47	ga_s2am_ard_3-2-1_52LGM_2022-03-20_final
2022-03-28 10:34:16	ga_s2am_ard_3-2-1_53JNN_2022-03-28_final
2022-04-05 11:33:58	ga_s2am_ard_3-2-1_51KWQ_2022-04-05_final
2022-04-09 11:14:10	ga_s2am_ard_3-2-1_51KZP_2022-04-09_final
2022-05-21 11:55:59	ga_s2am_ard_3-2-1_50JMN_2022-05-21_final
2022-06-02 10:55:13	ga_s2am_ard_3-2-1_53JLJ_2022-06-02_final
2022-06-19 10:45:55	ga_s2am_ard_3-2-1_53JKG_2022-06-19_final
2022-06-24 11:36:59	ga_s2am_ard_3-2-1_51HTD_2022-06-24_final
2022-07-23 10:25:16	ga_s2am_ard_3-2-1_53JQJ_2022-07-23_final
2022-08-07 11:15:33	ga_s2am_ard_3-2-1_52JBP_2022-08-07_final
2022-08-12 10:27:17	ga_s2am_ard_3-2-1_53HPA_2022-08-12_final
2022-12-31 11:36:56	ga_s2am_ard_3-2-1_51HUC_2022-12-31_final.stac-item
2023-02-22 11:43:22	ga_s2am_ard_3-2-1_51KVS_2023-02-22_final.stac-item
2023-03-31 11:37:15	ga_s2am_ard_3-2-1_50HQG_2023-03-31_final.stac-item
2023-04-27 11:23:06	ga_s2am_ard_3-2-1_52KBC_2023-04-27_final.stac-item
2023-06-08 10:26:39	ga_s2am_ard_3-2-1_53HPC_2023-06-08_final.stac-item
2023-06-12 11:46:47	ga_s2am_ard_3-2-1_50HQJ_2023-06-12_final.stac-item
2023-07-01 10:35:39	ga_s2am_ard_3-2-1_53JPG_2023-07-01_final.stac-item
2023-07-12 11:41:02	ga_s2am_ard_3-2-1_51LWG_2023-07-12_final.stac-item
2023-08-29 11:03:54	ga_s2am_ard_3-2-1_52KEV_2023-08-29_final.stac-item
2023-09-07 11:33:07	ga_s2am_ard_3-2-1_51KYT_2023-09-07_final.stac-item
2023-10-11 11:16:57	ga_s2am_ard_3-2-1_51HWC_2023-10-11_final.stac-item
2023-10-24 11:22:27	ga_s2am_ard_3-2-1_51KYA_2023-10-24_final.stac-item
2023-11-15 12:03:57	ga_s2am_ard_3-2-1_50KKA_2023-11-15_final.stac-item
2023-11-24 10:53:27	ga_s2am_ard_3-2-1_52KGA_2023-11-24_final.stac-item
2023-11-24 10:55:41	ga_s2am_ard_3-2-1_52JFM_2023-11-24_final.stac-item
2023-12-20 11:13:17	ga_s2am_ard_3-2-1_52KCB_2023-12-20_final.stac-item
2024-01-08 11:43:07	ga_s2am_ard_3-2-1_51KUT_2024-01-08_final.stac-item
2024-01-27 10:31:59	ga_s2am_ard_3-2-1_53KRA_2024-01-27_final.stac-item
2024-01-28 11:46:28	ga_s2am_ard_3-2-1_50HPK_2024-01-28_final.stac-item
2024-02-17 11:40:55	ga_s2am_ard_3-2-1_51LWG_2024-02-17_final.stac-item
2024-03-14 10:24:04	ga_s2am_ard_3-2-1_53JRN_2024-03-14_final.stac-item
2024-03-28 11:44:38	ga_s2am_ard_3-2-1_50JPT_2024-03-28_final.stac-item
2024-03-29 11:14:09	ga_s2am_ard_3-2-1_51KZP_2024-03-29_final.stac-item
2024-04-20 11:53:20	ga_s2am_ard_3-2-1_50KQC_2024-04-20_final.stac-item
2024-04-25 11:06:00	ga_s2am_ard_3-2-1_52JBM_2024-04-25_final.stac-item
2024-05-04 11:32:57	ga_s2am_ard_3-2-1_51KXU_2024-05-04_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