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
2015-09-11 12:14:44	ga_s2am_ard_3-2-1_49JGL_2015-09-11_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_50JLT_2016-03-06_final.stac-item
2016-03-22 10:43:04	ga_s2am_ard_3-2-1_53JNN_2016-03-22_final.stac-item
2016-05-08 10:34:29	ga_s2am_ard_3-2-1_53HND_2016-05-08_final.stac-item
2016-06-15 11:36:06	ga_s2am_ard_3-2-1_51JTG_2016-06-15_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50KLU_2016-06-24_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51KXV_2016-06-25_final.stac-item
2016-06-30 10:43:09	ga_s2am_ard_3-2-1_53JPM_2016-06-30_final.stac-item
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_51HUC_2016-11-02_final.stac-item
2016-12-26 11:07:06	ga_s2am_ard_3-2-1_52LEJ_2016-12-26_final
2017-06-14 11:11:51	ga_s2am_ard_3-2-1_52KDV_2017-06-14_final
2017-06-26 11:49:44	ga_s2am_ard_3-2-1_50KQU_2017-06-26_final
2017-08-10 11:02:13	ga_s2am_ard_3-2-1_53KKA_2017-08-10_final
2017-08-26 11:21:56	ga_s2am_ard_3-2-1_52KBV_2017-08-26_final
2017-09-07 10:26:36	ga_s2am_ard_3-2-1_53HQB_2017-09-07_final
2017-09-12 11:12:13	ga_s2am_ard_3-2-1_52KCC_2017-09-12_final
2017-11-08 10:57:14	ga_s2am_ard_3-2-1_52KGF_2017-11-08_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_51LVC_2017-11-20_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50JPM_2017-12-10_final
2018-01-15 10:23:20	ga_s2am_ard_3-2-1_53HQC_2018-01-15_final
2018-02-12 11:16:56	ga_s2am_ard_3-2-1_51JZM_2018-02-12_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KZU_2018-05-23_final
2018-06-02 11:17:00	ga_s2am_ard_3-2-1_52KBA_2018-06-02_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49JGK_2018-06-04_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49KHR_2018-06-24_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JPR_2018-08-10_final
2018-10-19 10:07:01	ga_s2am_ard_3-2-1_53HQA_2018-10-19_final
2018-12-22 11:33:22	ga_s2am_ard_3-2-1_51KVS_2018-12-22_final
2019-01-28 11:22:23	ga_s2am_ard_3-2-1_51KYA_2019-01-28_final
2019-02-04 11:14:06	ga_s2am_ard_3-2-1_52KBU_2019-02-04_final
2019-04-04 11:46:44	ga_s2am_ard_3-2-1_50HQJ_2019-04-04_final
2019-04-28 11:23:46	ga_s2am_ard_3-2-1_51KXR_2019-04-28_final
2019-05-13 10:36:10	ga_s2am_ard_3-2-1_53HNE_2019-05-13_final
2019-06-18 10:55:46	ga_s2am_ard_3-2-1_52JGM_2019-06-18_final
2019-07-06 11:54:34	ga_s2am_ard_3-2-1_50KNU_2019-07-06_final
2019-08-06 11:23:18	ga_s2am_ard_3-2-1_51KXT_2019-08-06_final
2019-08-11 10:34:36	ga_s2am_ard_3-2-1_53JQL_2019-08-11_final
2019-10-24 10:16:55	ga_s2am_ard_3-2-1_53HQB_2019-10-24_final
2019-11-27 11:33:02	ga_s2am_ard_3-2-1_51KYT_2019-11-27_final
2020-01-06 11:32:57	ga_s2am_ard_3-2-1_51KYT_2020-01-06_final
2020-01-06 11:36:53	ga_s2am_ard_3-2-1_51HUC_2020-01-06_final
2020-02-02 11:26:32	ga_s2am_ard_3-2-1_51HWD_2020-02-02_final
2020-03-18 10:36:25	ga_s2am_ard_3-2-1_53HLD_2020-03-18_final
2020-03-26 11:33:23	ga_s2am_ard_3-2-1_51KWS_2020-03-26_final
2020-05-24 12:04:11	ga_s2am_ard_3-2-1_50KLV_2020-05-24_final
2020-06-06 12:15:26	ga_s2am_ard_3-2-1_49JGK_2020-06-06_final
2020-07-11 11:23:04	ga_s2am_ard_3-2-1_51KXU_2020-07-11_final
2020-07-14 11:36:31	ga_s2am_ard_3-2-1_50JPL_2020-07-14_final
2020-07-29 10:46:01	ga_s2am_ard_3-2-1_53JLF_2020-07-29_final
2020-09-19 11:23:26	ga_s2am_ard_3-2-1_51KZS_2020-09-19_final
2020-10-19 11:26:02	ga_s2am_ard_3-2-1_51JWG_2020-10-19_final
2020-11-02 11:00:34	ga_s2am_ard_3-2-1_53LKH_2020-11-02_final
2020-11-18 11:23:38	ga_s2am_ard_3-2-1_52KBA_2020-11-18_final
2020-11-23 10:37:00	ga_s2am_ard_3-2-1_53HPA_2020-11-23_final
2020-12-18 11:22:58	ga_s2am_ard_3-2-1_51KXU_2020-12-18_final
2021-02-03 11:14:55	ga_s2am_ard_3-2-1_51JYL_2021-02-03_final
2021-02-16 11:25:23	ga_s2am_ard_3-2-1_51JXJ_2021-02-16_final
2021-03-08 11:26:39	ga_s2am_ard_3-2-1_51HVD_2021-03-08_final
2021-03-11 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2021-03-11_final
2021-03-13 10:36:58	ga_s2am_ard_3-2-1_53HPA_2021-03-13_final
2021-05-04 11:13:31	ga_s2am_ard_3-2-1_52KDA_2021-05-04_final
2021-05-24 11:14:50	ga_s2am_ard_3-2-1_52JCR_2021-05-24_final
2021-06-22 11:42:31	ga_s2am_ard_3-2-1_51KUA_2021-06-22_final
2021-07-19 11:35:07	ga_s2am_ard_3-2-1_51JTL_2021-07-19_final
2021-07-20 11:05:52	ga_s2am_ard_3-2-1_52JDM_2021-07-20_final
2021-07-29 11:37:04	ga_s2am_ard_3-2-1_51HTC_2021-07-29_final
2021-09-19 10:33:48	ga_s2am_ard_3-2-1_53KRP_2021-09-19_final
2021-10-16 10:27:10	ga_s2am_ard_3-2-1_53HPA_2021-10-16_final
2021-11-18 10:33:46	ga_s2am_ard_3-2-1_53KRP_2021-11-18_final
2021-11-25 12:04:46	ga_s2am_ard_3-2-1_49JGN_2021-11-25_final
2021-12-03 11:23:35	ga_s2am_ard_3-2-1_51KZR_2021-12-03_final
2021-12-27 11:01:25	ga_s2am_ard_3-2-1_53LLD_2021-12-27_final
2021-12-30 11:14:51	ga_s2am_ard_3-2-1_52JCR_2021-12-30_final
2022-01-07 10:34:05	ga_s2am_ard_3-2-1_53JQN_2022-01-07_final
2022-01-25 11:32:26	ga_s2am_ard_3-2-1_51KXA_2022-01-25_final
2022-02-26 10:33:34	ga_s2am_ard_3-2-1_53KRQ_2022-02-26_final
2022-04-12 11:25:48	ga_s2am_ard_3-2-1_51JVH_2022-04-12_final
2022-05-30 10:43:19	ga_s2am_ard_3-2-1_53KMS_2022-05-30_final
2022-06-02 10:53:40	ga_s2am_ard_3-2-1_52KGA_2022-06-02_final
2022-08-15 12:15:08	ga_s2am_ard_3-2-1_49JGM_2022-08-15_final
2022-09-15 11:41:28	ga_s2am_ard_3-2-1_51LUF_2022-09-15_final.stac-item
2022-09-16 11:14:18	ga_s2am_ard_3-2-1_52KBU_2022-09-16_final.stac-item
2022-10-09 11:27:14	ga_s2am_ard_3-2-1_51HTC_2022-10-09_final.stac-item
2022-10-19 11:24:04	ga_s2am_ard_3-2-1_51KWQ_2022-10-19_final.stac-item
2022-10-28 11:53:24	ga_s2am_ard_3-2-1_50KPC_2022-10-28_final.stac-item
2022-11-02 11:06:10	ga_s2am_ard_3-2-1_52JCL_2022-11-02_final.stac-item
2022-12-10 12:05:30	ga_s2am_ard_3-2-1_49JGK_2022-12-10_final.stac-item
2023-01-30 11:32:30	ga_s2am_ard_3-2-1_51KVA_2023-01-30_final.stac-item
2023-02-13 11:16:38	ga_s2am_ard_3-2-1_52HBJ_2023-02-13_nrt.stac-item
2023-05-17 11:23:37	ga_s2am_ard_3-2-1_51KZR_2023-05-17_final.stac-item
2023-06-20 11:03:13	ga_s2am_ard_3-2-1_52KHB_2023-06-20_final.stac-item
2023-09-23 11:57:16	ga_s2am_ard_3-2-1_49HGC_2023-09-23_nrt.stac-item
2023-11-21 10:42:14	ga_s2am_ard_3-2-1_53KQV_2023-11-21_final.stac-item
2024-01-17 10:33:23	ga_s2am_ard_3-2-1_53KRQ_2024-01-17_final.stac-item
2024-01-25 11:33:39	ga_s2am_ard_3-2-1_51KVR_2024-01-25_final.stac-item
2024-02-28 11:13:29	ga_s2am_ard_3-2-1_52KEA_2024-02-28_final.stac-item
2024-03-04 12:03:41	ga_s2am_ard_3-2-1_50KLB_2024-03-04_final.stac-item
2024-03-15 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2024-03-15_final.stac-item
2024-04-14 11:32:57	ga_s2am_ard_3-2-1_51KXU_2024-04-14_final.stac-item
2024-05-26 10:33:46	ga_s2am_ard_3-2-1_53KRP_2024-05-26_nrt.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