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
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51KZU_2016-01-24_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52JER_2016-03-28_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51JWM_2016-04-06_final.stac-item
2016-04-26 11:36:07	ga_s2am_ard_3-2-1_50JPL_2016-04-26_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KKA_2016-06-04_final.stac-item
2016-06-06 10:58:03	ga_s2am_ard_3-2-1_52JFT_2016-06-06_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_50JQN_2016-08-04_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50HMJ_2016-10-29_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51KXQ_2017-01-18_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JKM_2017-01-30_final
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_51JTF_2017-01-31_final
2017-02-02 12:13:15	ga_s2am_ard_3-2-1_49KHP_2017-02-02_final
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_51KZR_2017-04-15_final
2017-05-28 11:26:12	ga_s2am_ard_3-2-1_51HVE_2017-05-28_final
2017-06-14 11:11:51	ga_s2am_ard_3-2-1_52JCL_2017-06-14_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50HPK_2017-08-12_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50JKN_2017-09-14_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50JML_2017-09-21_final
2017-09-29 11:02:55	ga_s2am_ard_3-2-1_52JCM_2017-09-29_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50JKQ_2017-10-17_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50JLP_2017-10-17_final
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_52JBP_2017-12-31_final
2018-02-13 10:52:02	ga_s2am_ard_3-2-1_52JFP_2018-02-13_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KYA_2018-02-15_final
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_52KBA_2018-03-11_final
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_51KXU_2018-04-23_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_49KHP_2018-05-25_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JWK_2018-06-05_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JPL_2018-06-18_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JPQ_2018-06-18_final
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_51KYT_2018-06-25_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JKM_2018-07-11_final
2018-10-07 11:13:21	ga_s2am_ard_3-2-1_51JXJ_2018-10-07_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_51HUC_2018-10-23_final
2018-11-22 11:37:00	ga_s2am_ard_3-2-1_50HPH_2018-11-22_final
2018-11-25 11:46:48	ga_s2am_ard_3-2-1_50HMJ_2018-11-25_final
2019-02-23 11:47:10	ga_s2am_ard_3-2-1_50HLH_2019-02-23_final
2019-06-24 11:15:41	ga_s2am_ard_3-2-1_52JBN_2019-06-24_final
2019-06-26 11:56:12	ga_s2am_ard_3-2-1_50JMM_2019-06-26_final
2019-07-10 11:36:51	ga_s2am_ard_3-2-1_51HTD_2019-07-10_final
2019-10-01 11:46:57	ga_s2am_ard_3-2-1_50HMJ_2019-10-01_final
2019-11-24 11:22:23	ga_s2am_ard_3-2-1_52KBF_2019-11-24_final
2019-12-20 11:44:14	ga_s2am_ard_3-2-1_50KQU_2019-12-20_final
2020-01-03 11:24:39	ga_s2am_ard_3-2-1_51JWM_2020-01-03_final
2020-01-09 11:44:27	ga_s2am_ard_3-2-1_51JTN_2020-01-09_final
2020-01-10 11:14:58	ga_s2am_ard_3-2-1_52JCQ_2020-01-10_final
2020-01-20 11:12:32	ga_s2am_ard_3-2-1_52KCE_2020-01-20_final
2020-03-13 11:25:56	ga_s2am_ard_3-2-1_51JVG_2020-03-13_final
2020-06-14 11:33:51	ga_s2am_ard_3-2-1_51KVR_2020-06-14_final
2020-06-22 10:55:28	ga_s2am_ard_3-2-1_52JEP_2020-06-22_final
2020-09-09 11:25:24	ga_s2am_ard_3-2-1_51JYJ_2020-09-09_final
2020-10-08 11:56:24	ga_s2am_ard_3-2-1_50JNL_2020-10-08_final
2020-11-25 11:14:10	ga_s2am_ard_3-2-1_52KBU_2020-11-25_final
2020-12-02 11:03:01	ga_s2am_ard_3-2-1_52KFC_2020-12-02_final
2020-12-08 11:22:09	ga_s2am_ard_3-2-1_51KYB_2020-12-08_final
2020-12-11 11:34:32	ga_s2am_ard_3-2-1_51JTN_2020-12-11_final
2020-12-12 11:04:15	ga_s2am_ard_3-2-1_52JET_2020-12-12_final
2020-12-19 10:55:47	ga_s2am_ard_3-2-1_52JEM_2020-12-19_final
2021-01-20 11:31:36	ga_s2am_ard_3-2-1_51LZD_2021-01-20_final
2021-02-02 11:45:21	ga_s2am_ard_3-2-1_50JPQ_2021-02-02_final
2021-02-05 11:55:12	ga_s2am_ard_3-2-1_50JLR_2021-02-05_final
2021-05-23 11:46:16	ga_s2am_ard_3-2-1_50JQL_2021-05-23_final
2021-05-28 10:54:30	ga_s2am_ard_3-2-1_52JGS_2021-05-28_final
2021-06-23 11:12:51	ga_s2am_ard_3-2-1_52KDD_2021-06-23_final
2021-06-23 11:15:52	ga_s2am_ard_3-2-1_52JBM_2021-06-23_final
2021-07-16 11:27:01	ga_s2am_ard_3-2-1_51HVC_2021-07-16_final
2021-07-22 11:45:57	ga_s2am_ard_3-2-1_50JNN_2021-07-22_final
2021-08-01 11:46:29	ga_s2am_ard_3-2-1_50JML_2021-08-01_final
2021-08-07 12:05:40	ga_s2am_ard_3-2-1_50JLP_2021-08-07_final
2021-11-12 11:56:16	ga_s2am_ard_3-2-1_50JKM_2021-11-12_final
2021-12-12 11:56:21	ga_s2am_ard_3-2-1_50JML_2021-12-12_final
2022-02-27 11:47:09	ga_s2am_ard_3-2-1_50HNH_2022-02-27_final
2022-06-01 11:24:59	ga_s2am_ard_3-2-1_51JYL_2022-06-01_final
2022-07-20 11:56:23	ga_s2am_ard_3-2-1_50JLM_2022-07-20_final
2022-08-03 11:33:49	ga_s2am_ard_3-2-1_51KXR_2022-08-03_final
2022-08-10 11:24:23	ga_s2am_ard_3-2-1_51KXP_2022-08-10_final
2022-09-22 11:36:53	ga_s2am_ard_3-2-1_51HTD_2022-09-22_final.stac-item
2022-09-29 11:21:47	ga_s2am_ard_3-2-1_51LZD_2022-09-29_final.stac-item
2022-10-02 11:32:15	ga_s2am_ard_3-2-1_51KYB_2022-10-02_final.stac-item
2022-10-25 11:47:09	ga_s2am_ard_3-2-1_50HNH_2022-10-25_final.stac-item
2022-10-28 11:53:14	ga_s2am_ard_3-2-1_50KRC_2022-10-28_final.stac-item
2022-11-17 11:53:15	ga_s2am_ard_3-2-1_50KQC_2022-11-17_final.stac-item
2022-12-15 11:16:40	ga_s2am_ard_3-2-1_51HXD_2022-12-15_final.stac-item
2023-01-27 11:23:51	ga_s2am_ard_3-2-1_51KYQ_2023-01-27_final.stac-item
2023-01-27 11:25:36	ga_s2am_ard_3-2-1_51JXH_2023-01-27_final.stac-item
2023-04-10 11:31:21	ga_s2am_ard_3-2-1_51LZE_2023-04-10_final.stac-item
2023-04-10 11:31:48	ga_s2am_ard_3-2-1_51LZC_2023-04-10_final.stac-item
2023-05-06 11:55:24	ga_s2am_ard_3-2-1_50JMQ_2023-05-06_final.stac-item
2023-05-30 11:35:23	ga_s2am_ard_3-2-1_51JWJ_2023-05-30_final.stac-item
2023-06-18 12:05:12	ga_s2am_ard_3-2-1_50JLR_2023-06-18_final.stac-item
2023-06-19 11:33:20	ga_s2am_ard_3-2-1_51KVT_2023-06-19_final.stac-item
2023-07-05 11:56:19	ga_s2am_ard_3-2-1_50JKM_2023-07-05_final.stac-item
2023-08-08 11:36:36	ga_s2am_ard_3-2-1_51HTE_2023-08-08_final.stac-item
2023-08-22 12:51:06	ga_s2am_ard_3-2-1_48LWP_2023-08-22_final.stac-item
2023-09-20 11:47:04	ga_s2am_ard_3-2-1_50HPH_2023-09-20_final.stac-item
2023-10-31 11:16:30	ga_s2am_ard_3-2-1_51HWE_2023-10-31_final.stac-item
2023-12-10 11:15:13	ga_s2am_ard_3-2-1_52JCP_2023-12-10_final.stac-item
2023-12-24 10:55:42	ga_s2am_ard_3-2-1_52JFM_2023-12-24_final.stac-item
2024-01-12 11:26:00	ga_s2am_ard_3-2-1_51JUG_2024-01-12_final.stac-item
2024-01-21 11:57:07	ga_s2am_ard_3-2-1_49HGC_2024-01-21_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