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
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50JKM_2016-03-16_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JLL_2016-07-21_final.stac-item
2016-07-31 11:56:12	ga_s2am_ard_3-2-1_50JLL_2016-07-31_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49KGQ_2016-08-03_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_51JVJ_2016-08-24_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51HTC_2016-12-12_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_50KRC_2017-01-14_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51KWT_2017-02-10_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51KWP_2017-06-07_final
2017-07-26 11:56:09	ga_s2am_ard_3-2-1_50HLK_2017-07-26_final
2017-09-02 11:12:01	ga_s2am_ard_3-2-1_51HXD_2017-09-02_final
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_51JYM_2017-12-31_final
2018-01-22 11:56:02	ga_s2am_ard_3-2-1_50JMM_2018-01-22_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HPK_2018-02-08_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50JQT_2018-02-28_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_51KTP_2018-03-10_final
2018-04-03 11:16:59	ga_s2am_ard_3-2-1_51KYT_2018-04-03_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51JTF_2018-05-26_final
2018-06-22 11:26:00	ga_s2am_ard_3-2-1_51HVC_2018-06-22_final
2018-07-25 11:26:21	ga_s2am_ard_3-2-1_51KYT_2018-07-25_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_51HTE_2018-08-14_final
2018-08-24 11:26:19	ga_s2am_ard_3-2-1_51KXS_2018-08-24_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JKN_2018-10-19_final
2018-12-08 11:53:02	ga_s2am_ard_3-2-1_50KRC_2018-12-08_final
2019-03-08 11:55:36	ga_s2am_ard_3-2-1_50JLP_2019-03-08_final
2019-03-22 11:35:28	ga_s2am_ard_3-2-1_51JUJ_2019-03-22_final
2019-03-31 12:06:10	ga_s2am_ard_3-2-1_50JKM_2019-03-31_final
2019-05-21 11:32:23	ga_s2am_ard_3-2-1_51KVB_2019-05-21_final
2019-06-07 11:26:46	ga_s2am_ard_3-2-1_51HVD_2019-06-07_final
2019-06-10 11:36:49	ga_s2am_ard_3-2-1_51HTD_2019-06-10_final
2019-06-30 11:32:45	ga_s2am_ard_3-2-1_51KXV_2019-06-30_final
2019-12-04 11:27:00	ga_s2am_ard_3-2-1_51HUC_2019-12-04_final
2019-12-07 11:35:34	ga_s2am_ard_3-2-1_50JQP_2019-12-07_final
2019-12-20 11:44:25	ga_s2am_ard_3-2-1_51JTN_2019-12-20_final
2019-12-26 12:06:04	ga_s2am_ard_3-2-1_50JKM_2019-12-26_final
2020-01-02 11:53:05	ga_s2am_ard_3-2-1_50KRC_2020-01-02_final
2020-01-02 11:53:33	ga_s2am_ard_3-2-1_50KNB_2020-01-02_final
2020-01-03 11:23:22	ga_s2am_ard_3-2-1_51KXS_2020-01-03_final
2020-01-06 11:33:10	ga_s2am_ard_3-2-1_51KVT_2020-01-06_final
2020-01-06 11:33:57	ga_s2am_ard_3-2-1_51KUQ_2020-01-06_final
2020-02-05 11:32:03	ga_s2am_ard_3-2-1_51KXB_2020-02-05_final
2020-02-18 11:42:07	ga_s2am_ard_3-2-1_51KVB_2020-02-18_final
2020-03-28 12:14:56	ga_s2am_ard_3-2-1_49JFM_2020-03-28_final
2020-04-02 11:23:35	ga_s2am_ard_3-2-1_51KYR_2020-04-02_final
2020-06-11 11:25:52	ga_s2am_ard_3-2-1_51JVH_2020-06-11_final
2020-07-07 11:43:22	ga_s2am_ard_3-2-1_51KTT_2020-07-07_final
2020-08-07 11:16:43	ga_s2am_ard_3-2-1_51HYD_2020-08-07_final
2020-08-09 11:55:48	ga_s2am_ard_3-2-1_50JLP_2020-08-09_final
2020-08-23 11:33:53	ga_s2am_ard_3-2-1_51KUR_2020-08-23_final
2020-10-26 11:16:46	ga_s2am_ard_3-2-1_51HXD_2020-10-26_final
2020-11-10 12:05:01	ga_s2am_ard_3-2-1_50JKS_2020-11-10_final
2020-11-14 11:46:37	ga_s2am_ard_3-2-1_50HPK_2020-11-14_final
2020-11-17 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2020-11-17_final
2020-11-18 11:24:40	ga_s2am_ard_3-2-1_51JYM_2020-11-18_final
2020-12-01 11:34:05	ga_s2am_ard_3-2-1_51KXP_2020-12-01_final
2021-01-30 11:34:43	ga_s2am_ard_3-2-1_51JVM_2021-01-30_final
2021-03-01 11:36:19	ga_s2am_ard_3-2-1_50JQL_2021-03-01_final
2021-06-09 11:36:20	ga_s2am_ard_3-2-1_50JQL_2021-06-09_final
2021-06-23 11:15:40	ga_s2am_ard_3-2-1_51JYH_2021-06-23_final
2021-08-01 11:45:47	ga_s2am_ard_3-2-1_51JTH_2021-08-01_final
2021-09-16 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2021-09-16_final
2021-10-03 11:56:22	ga_s2am_ard_3-2-1_50JNL_2021-10-03_final
2021-10-10 11:47:19	ga_s2am_ard_3-2-1_50HLH_2021-10-10_final
2021-10-27 11:36:22	ga_s2am_ard_3-2-1_51JTF_2021-10-27_final
2021-10-27 11:36:37	ga_s2am_ard_3-2-1_51HTE_2021-10-27_final
2022-02-24 11:36:49	ga_s2am_ard_3-2-1_51HTD_2022-02-24_final
2022-03-20 11:16:44	ga_s2am_ard_3-2-1_51HXD_2022-03-20_final
2022-04-02 11:25:30	ga_s2am_ard_3-2-1_51JWJ_2022-04-02_final
2022-04-28 11:44:10	ga_s2am_ard_3-2-1_50KQV_2022-04-28_final
2022-05-12 11:26:29	ga_s2am_ard_3-2-1_51HWE_2022-05-12_final
2022-05-21 11:56:09	ga_s2am_ard_3-2-1_50JKN_2022-05-21_final
2022-05-27 12:14:16	ga_s2am_ard_3-2-1_49KHQ_2022-05-27_final
2022-06-18 11:15:07	ga_s2am_ard_3-2-1_51JYL_2022-06-18_final
2022-07-17 11:47:22	ga_s2am_ard_3-2-1_50HMH_2022-07-17_final
2022-07-18 11:16:09	ga_s2am_ard_3-2-1_51JXG_2022-07-18_final
2022-07-21 11:25:53	ga_s2am_ard_3-2-1_51JWH_2022-07-21_final
2022-08-06 11:46:45	ga_s2am_ard_3-2-1_50HPK_2022-08-06_final
2022-08-10 11:24:06	ga_s2am_ard_3-2-1_51KYQ_2022-08-10_final
2022-08-16 11:43:37	ga_s2am_ard_3-2-1_51KVS_2022-08-16_final
2022-10-02 11:35:15	ga_s2am_ard_3-2-1_51JWK_2022-10-02_final.stac-item
2022-10-02 11:36:12	ga_s2am_ard_3-2-1_50JQM_2022-10-02_final.stac-item
2022-12-08 11:23:40	ga_s2am_ard_3-2-1_51KYR_2022-12-08_final.stac-item
2023-01-04 11:16:36	ga_s2am_ard_3-2-1_51HYD_2023-01-04_final.stac-item
2023-01-27 11:25:10	ga_s2am_ard_3-2-1_51JWK_2023-01-27_final.stac-item
2023-02-22 11:43:15	ga_s2am_ard_3-2-1_51KTT_2023-02-22_final.stac-item
2023-02-26 11:23:08	ga_s2am_ard_3-2-1_51KYT_2023-02-26_final.stac-item
2023-03-25 11:16:21	ga_s2am_ard_3-2-1_51HYE_2023-03-25_final.stac-item
2023-06-18 12:04:11	ga_s2am_ard_3-2-1_50KMV_2023-06-18_final.stac-item
2023-06-26 11:24:13	ga_s2am_ard_3-2-1_51KYP_2023-06-26_final.stac-item
2023-06-26 11:26:36	ga_s2am_ard_3-2-1_51HUE_2023-06-26_final.stac-item
2023-07-25 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2023-07-25_final.stac-item
2023-08-21 11:46:32	ga_s2am_ard_3-2-1_50JML_2023-08-21_final.stac-item
2023-09-30 11:46:28	ga_s2am_ard_3-2-1_50JML_2023-09-30_final.stac-item
2023-12-18 12:13:50	ga_s2am_ard_3-2-1_50KKA_2023-12-18_final.stac-item
2024-01-05 11:36:07	ga_s2am_ard_3-2-1_51JVF_2024-01-05_final.stac-item
2024-03-09 11:15:43	ga_s2am_ard_3-2-1_51JXH_2024-03-09_final.stac-item
2024-03-12 11:25:46	ga_s2am_ard_3-2-1_51JVH_2024-03-12_final.stac-item
2024-03-18 11:43:48	ga_s2am_ard_3-2-1_51KTR_2024-03-18_final.stac-item
2024-03-25 11:33:10	ga_s2am_ard_3-2-1_51KXT_2024-03-25_final.stac-item
2024-05-14 11:34:08	ga_s2am_ard_3-2-1_51KXP_2024-05-14_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