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
2016-01-20 10:06:27	ga_s2am_ard_3-2-1_54HXJ_2016-01-20_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52JDM_2016-03-28_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_52JBM_2016-05-10_final.stac-item
2016-08-16 10:28:09	ga_s2am_ard_3-2-1_53KQP_2016-08-16_final.stac-item
2016-10-29 11:43:41	ga_s2am_ard_3-2-1_50KQV_2016-10-29_final.stac-item
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53HND_2016-12-14_final
2017-02-22 10:29:15	ga_s2am_ard_3-2-1_53JNN_2017-02-22_final
2017-02-28 10:47:18	ga_s2am_ard_3-2-1_53LMG_2017-02-28_final
2017-03-17 10:42:58	ga_s2am_ard_3-2-1_53JNM_2017-03-17_final
2017-04-02 11:02:44	ga_s2am_ard_3-2-1_52HBK_2017-04-02_final
2017-06-14 11:11:51	ga_s2am_ard_3-2-1_51HWE_2017-06-14_final
2017-07-22 10:32:12	ga_s2am_ard_3-2-1_53HLD_2017-07-22_final
2017-10-30 10:32:32	ga_s2am_ard_3-2-1_53JRN_2017-10-30_final
2018-02-18 10:06:52	ga_s2am_ard_3-2-1_54HXC_2018-02-18_final
2018-02-21 11:50:43	ga_s2am_ard_3-2-1_50KNC_2018-02-21_final
2018-03-31 11:07:12	ga_s2am_ard_3-2-1_51JYG_2018-03-31_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JPR_2018-05-02_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JKT_2018-05-25_final
2018-09-08 10:37:24	ga_s2am_ard_3-2-1_53HME_2018-09-08_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50HLK_2018-10-19_final
2018-12-06 11:10:35	ga_s2am_ard_3-2-1_52LGM_2018-12-06_final
2018-12-22 11:33:08	ga_s2am_ard_3-2-1_51KVT_2018-12-22_final
2019-01-06 10:43:46	ga_s2am_ard_3-2-1_53KNP_2019-01-06_final
2019-01-30 10:24:15	ga_s2am_ard_3-2-1_53JRM_2019-01-30_final
2019-02-19 10:27:01	ga_s2am_ard_3-2-1_53HPA_2019-02-19_final
2019-03-15 11:45:08	ga_s2am_ard_3-2-1_50JNR_2019-03-15_final
2019-03-27 10:42:17	ga_s2am_ard_3-2-1_53KQV_2019-03-27_final
2019-04-03 10:33:46	ga_s2am_ard_3-2-1_53KRP_2019-04-03_final
2019-04-08 11:22:13	ga_s2am_ard_3-2-1_51KYB_2019-04-08_final
2019-05-21 11:34:40	ga_s2am_ard_3-2-1_50JRT_2019-05-21_final
2019-06-02 10:36:13	ga_s2am_ard_3-2-1_53HME_2019-06-02_final
2019-08-06 11:21:36	ga_s2am_ard_3-2-1_52LDJ_2019-08-06_final
2019-09-03 10:44:21	ga_s2am_ard_3-2-1_53JNM_2019-09-03_final
2019-09-18 11:33:16	ga_s2am_ard_3-2-1_51KVT_2019-09-18_final
2019-09-30 10:34:05	ga_s2am_ard_3-2-1_53JQN_2019-09-30_final
2019-10-15 11:22:59	ga_s2am_ard_3-2-1_52KCC_2019-10-15_final
2019-11-07 11:33:33	ga_s2am_ard_3-2-1_51KVS_2019-11-07_final
2019-12-26 12:05:59	ga_s2am_ard_3-2-1_50JLM_2019-12-26_final
2020-01-03 11:25:28	ga_s2am_ard_3-2-1_51JYH_2020-01-03_final
2020-01-14 10:54:38	ga_s2am_ard_3-2-1_52JGR_2020-01-14_final
2020-01-28 10:32:15	ga_s2am_ard_3-2-1_53KQV_2020-01-28_final
2020-02-02 11:27:00	ga_s2am_ard_3-2-1_51HTC_2020-02-02_final
2020-02-05 11:33:57	ga_s2am_ard_3-2-1_51KXP_2020-02-05_final
2020-03-03 11:22:33	ga_s2am_ard_3-2-1_52KBE_2020-03-03_final
2020-03-05 10:26:42	ga_s2am_ard_3-2-1_53HQB_2020-03-05_final
2020-03-25 10:26:37	ga_s2am_ard_3-2-1_53HNC_2020-03-25_final
2020-04-17 10:35:44	ga_s2am_ard_3-2-1_53JQF_2020-04-17_final
2020-04-25 11:35:32	ga_s2am_ard_3-2-1_51JUJ_2020-04-25_final
2020-05-05 11:33:56	ga_s2am_ard_3-2-1_51KXQ_2020-05-05_final
2020-05-26 11:00:54	ga_s2am_ard_3-2-1_53LMF_2020-05-26_final
2020-07-14 11:34:01	ga_s2am_ard_3-2-1_51KWQ_2020-07-14_final
2020-08-09 10:17:03	ga_s2am_ard_3-2-1_54HVF_2020-08-09_final
2020-09-12 11:33:20	ga_s2am_ard_3-2-1_51KVT_2020-09-12_final
2020-10-21 12:05:57	ga_s2am_ard_3-2-1_50JLN_2020-10-21_final
2020-11-03 10:33:54	ga_s2am_ard_3-2-1_53KQP_2020-11-03_final
2021-03-23 10:33:51	ga_s2am_ard_3-2-1_53KPP_2021-03-23_final
2021-05-23 11:42:37	ga_s2am_ard_3-2-1_51KUA_2021-05-23_final
2021-05-23 11:43:25	ga_s2am_ard_3-2-1_51KVS_2021-05-23_final
2021-07-12 11:43:06	ga_s2am_ard_3-2-1_51KTU_2021-07-12_final
2021-08-02 11:16:09	ga_s2am_ard_3-2-1_52JBL_2021-08-02_final
2021-08-07 10:24:43	ga_s2am_ard_3-2-1_53JQL_2021-08-07_final
2021-09-05 10:53:07	ga_s2am_ard_3-2-1_53KMS_2021-09-05_final
2021-09-10 11:43:15	ga_s2am_ard_3-2-1_51KUT_2021-09-10_final
2021-09-30 11:42:46	ga_s2am_ard_3-2-1_51KVV_2021-09-30_final
2021-10-29 10:32:38	ga_s2am_ard_3-2-1_53KRU_2021-10-29_final
2021-11-13 11:21:26	ga_s2am_ard_3-2-1_52LDJ_2021-11-13_final
2021-11-19 10:07:03	ga_s2am_ard_3-2-1_54HYE_2021-11-19_final
2021-11-28 10:34:04	ga_s2am_ard_3-2-1_53JQN_2021-11-28_final
2022-01-27 10:34:14	ga_s2am_ard_3-2-1_53JNN_2022-01-27_final
2022-04-24 10:24:56	ga_s2am_ard_3-2-1_53JQK_2022-04-24_final
2022-07-18 11:14:53	ga_s2am_ard_3-2-1_51JYM_2022-07-18_final
2022-07-24 11:35:48	ga_s2am_ard_3-2-1_50JQP_2022-07-24_final
2022-08-06 10:07:25	ga_s2am_ard_3-2-1_54HYD_2022-08-06_final
2022-08-10 11:23:37	ga_s2am_ard_3-2-1_51KYS_2022-08-10_final
2022-09-27 10:44:05	ga_s2am_ard_3-2-1_53KLP_2022-09-27_final.stac-item
2022-10-04 10:33:27	ga_s2am_ard_3-2-1_53KQR_2022-10-04_final.stac-item
2022-10-15 11:42:32	ga_s2am_ard_3-2-1_51KVA_2022-10-15_final.stac-item
2022-11-22 11:03:23	ga_s2am_ard_3-2-1_52KHA_2022-11-22_final.stac-item
2023-01-04 12:51:00	ga_s2am_ard_3-2-1_48LWP_2023-01-04_final.stac-item
2023-03-02 11:01:29	ga_s2am_ard_3-2-1_52LGJ_2023-03-02_final.stac-item
2023-03-06 10:42:28	ga_s2am_ard_3-2-1_53KQU_2023-03-06_final.stac-item
2023-03-23 12:15:09	ga_s2am_ard_3-2-1_49JGL_2023-03-23_final.stac-item
2023-04-24 11:16:37	ga_s2am_ard_3-2-1_52HBJ_2023-04-24_nrt.stac-item
2023-04-30 11:33:31	ga_s2am_ard_3-2-1_51KVS_2023-04-30_final.stac-item
2023-06-29 11:33:17	ga_s2am_ard_3-2-1_51KWT_2023-06-29_final.stac-item
2023-07-25 11:55:51	ga_s2am_ard_3-2-1_50JKP_2023-07-25_final.stac-item
2023-08-08 11:36:42	ga_s2am_ard_3-2-1_50HPK_2023-08-08_final.stac-item
2023-10-27 11:32:19	ga_s2am_ard_3-2-1_51KVB_2023-10-27_final.stac-item
2023-11-06 11:33:41	ga_s2am_ard_3-2-1_51KWR_2023-11-06_final.stac-item
2023-11-18 10:35:39	ga_s2am_ard_3-2-1_53JMG_2023-11-18_final.stac-item
2023-12-07 11:01:57	ga_s2am_ard_3-2-1_53KLA_2023-12-07_final.stac-item
2023-12-12 10:16:23	ga_s2am_ard_3-2-1_54HVH_2023-12-12_final.stac-item
2023-12-17 11:00:26	ga_s2am_ard_3-2-1_52LHN_2023-12-17_final.stac-item
2023-12-21 10:42:32	ga_s2am_ard_3-2-1_53KPU_2023-12-21_final.stac-item
2023-12-21 10:44:02	ga_s2am_ard_3-2-1_53JNN_2023-12-21_final.stac-item
2024-01-03 10:55:51	ga_s2am_ard_3-2-1_53JKF_2024-01-03_final.stac-item
2024-01-27 10:33:59	ga_s2am_ard_3-2-1_53JRN_2024-01-27_final.stac-item
2024-01-29 11:12:19	ga_s2am_ard_3-2-1_52KCF_2024-01-29_final.stac-item
2024-03-02 11:23:00	ga_s2am_ard_3-2-1_51KXU_2024-03-02_final.stac-item
2024-03-17 10:36:32	ga_s2am_ard_3-2-1_53HPC_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