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
2016-03-06 12:03:43	ga_s2am_ard_3-2-1_50KMA_2016-03-06_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51JUJ_2016-04-06_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50JML_2016-04-19_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_51KUT_2016-07-08_final.stac-item
2016-07-31 11:56:12	ga_s2am_ard_3-2-1_50HMK_2016-07-31_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_51JTH_2016-08-24_final.stac-item
2016-11-29 11:23:19	ga_s2am_ard_3-2-1_51KXR_2016-11-29_final.stac-item
2016-12-10 10:55:17	ga_s2am_ard_3-2-1_52JFM_2016-12-10_final
2016-12-26 11:07:06	ga_s2am_ard_3-2-1_52KDF_2016-12-26_final
2017-02-15 10:43:15	ga_s2am_ard_3-2-1_52JGM_2017-02-15_final
2017-04-01 11:28:22	ga_s2am_ard_3-2-1_51KWU_2017-04-01_final.stac-item
2017-05-24 11:38:34	ga_s2am_ard_3-2-1_51LVC_2017-05-24_final
2017-06-21 11:02:58	ga_s2am_ard_3-2-1_52JDP_2017-06-21_final
2017-08-03 11:12:16	ga_s2am_ard_3-2-1_52KBV_2017-08-03_final
2017-10-31 11:37:51	ga_s2am_ard_3-2-1_51KVB_2017-10-31_final
2017-11-15 10:53:13	ga_s2am_ard_3-2-1_52JFN_2017-11-15_final
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51KZT_2017-12-24_final
2018-04-29 11:40:08	ga_s2am_ard_3-2-1_50KRD_2018-04-29_final
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50HQH_2018-05-09_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50KLU_2018-05-25_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KWQ_2018-06-05_final
2018-08-11 11:19:45	ga_s2am_ard_3-2-1_51KXT_2018-08-11_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51KWQ_2018-09-03_final
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51LWG_2018-11-05_final.stac-item
2018-12-22 11:33:22	ga_s2am_ard_3-2-1_51KVS_2018-12-22_final
2019-01-04 11:47:15	ga_s2am_ard_3-2-1_50HNG_2019-01-04_final.stac-item
2019-01-17 11:57:02	ga_s2am_ard_3-2-1_50HMH_2019-01-17_final
2019-01-24 11:46:09	ga_s2am_ard_3-2-1_50JMM_2019-01-24_final
2019-02-27 11:23:05	ga_s2am_ard_3-2-1_51KYT_2019-02-27_final
2019-03-02 11:33:25	ga_s2am_ard_3-2-1_51KVS_2019-03-02_final
2019-03-24 12:13:53	ga_s2am_ard_3-2-1_49KHR_2019-03-24_final
2019-03-29 11:23:33	ga_s2am_ard_3-2-1_51KYR_2019-03-29_final
2019-03-29 11:26:44	ga_s2am_ard_3-2-1_51HVD_2019-03-29_final
2019-07-14 11:13:59	ga_s2am_ard_3-2-1_51KZQ_2019-07-14_final
2019-07-20 11:33:00	ga_s2am_ard_3-2-1_51KXU_2019-07-20_final
2019-08-15 11:54:16	ga_s2am_ard_3-2-1_50KQU_2019-08-15_final
2019-10-22 11:13:36	ga_s2am_ard_3-2-1_52KEA_2019-10-22_final
2019-10-31 11:45:10	ga_s2am_ard_3-2-1_50JPR_2019-10-31_final
2019-11-03 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2019-11-03_final
2019-11-21 11:13:14	ga_s2am_ard_3-2-1_52KBC_2019-11-21_final
2020-01-15 12:03:27	ga_s2am_ard_3-2-1_50KNB_2020-01-15_final
2020-01-17 11:06:31	ga_s2am_ard_3-2-1_51HYD_2020-01-17_final
2020-02-02 11:22:55	ga_s2am_ard_3-2-1_52KCC_2020-02-02_final
2020-03-16 11:34:51	ga_s2am_ard_3-2-1_51JWL_2020-03-16_final
2020-03-17 11:05:48	ga_s2am_ard_3-2-1_52JCM_2020-03-17_final
2020-03-30 11:13:10	ga_s2am_ard_3-2-1_52KBC_2020-03-30_final
2020-04-02 11:23:45	ga_s2am_ard_3-2-1_52KBV_2020-04-02_final
2020-04-02 11:24:01	ga_s2am_ard_3-2-1_52KBU_2020-04-02_final
2020-04-18 11:45:54	ga_s2am_ard_3-2-1_50JNN_2020-04-18_final
2020-05-29 11:15:28	ga_s2am_ard_3-2-1_52JBP_2020-05-29_final
2020-06-08 11:14:00	ga_s2am_ard_3-2-1_52KBV_2020-06-08_final
2020-07-31 11:23:19	ga_s2am_ard_3-2-1_51KXT_2020-07-31_final
2020-08-13 11:33:51	ga_s2am_ard_3-2-1_51KVR_2020-08-13_final
2020-09-02 11:33:50	ga_s2am_ard_3-2-1_51KVR_2020-09-02_final
2020-09-09 11:23:43	ga_s2am_ard_3-2-1_51KYR_2020-09-09_final
2021-01-04 11:13:25	ga_s2am_ard_3-2-1_52KEA_2021-01-04_final
2021-01-16 11:53:51	ga_s2am_ard_3-2-1_50KPA_2021-01-16_final
2021-01-27 11:23:35	ga_s2am_ard_3-2-1_52KBA_2021-01-27_final
2021-03-28 11:23:11	ga_s2am_ard_3-2-1_51KXT_2021-03-28_final
2021-04-11 11:03:49	ga_s2am_ard_3-2-1_52KDV_2021-04-11_final
2021-05-03 11:43:27	ga_s2am_ard_3-2-1_51KUS_2021-05-03_final
2021-06-13 11:13:14	ga_s2am_ard_3-2-1_52KBC_2021-06-13_final
2021-06-29 11:32:16	ga_s2am_ard_3-2-1_51KWB_2021-06-29_final
2021-09-20 11:42:19	ga_s2am_ard_3-2-1_51KUB_2021-09-20_final.stac-item
2021-10-08 11:03:40	ga_s2am_ard_3-2-1_52KEA_2021-10-08_final
2021-10-20 11:45:30	ga_s2am_ard_3-2-1_50JNQ_2021-10-20_final
2021-10-27 11:33:43	ga_s2am_ard_3-2-1_51KXR_2021-10-27_final
2021-11-06 11:32:44	ga_s2am_ard_3-2-1_51KXV_2021-11-06_final
2021-11-19 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2021-11-19_final
2021-11-20 11:14:53	ga_s2am_ard_3-2-1_52JBR_2021-11-20_final
2021-12-03 11:22:55	ga_s2am_ard_3-2-1_51KYU_2021-12-03_final
2022-02-14 11:33:52	ga_s2am_ard_3-2-1_51KXQ_2022-02-14_final
2022-05-29 11:13:30	ga_s2am_ard_3-2-1_52KCB_2022-05-29_final
2022-06-11 11:23:59	ga_s2am_ard_3-2-1_51KZQ_2022-06-11_final
2022-06-21 11:24:27	ga_s2am_ard_3-2-1_51KWP_2022-06-21_final
2022-06-24 11:34:12	ga_s2am_ard_3-2-1_51KVQ_2022-06-24_final
2022-07-18 11:15:34	ga_s2am_ard_3-2-1_52JBP_2022-07-18_final
2022-08-01 10:54:25	ga_s2am_ard_3-2-1_52JGT_2022-08-01_final
2022-08-23 11:37:01	ga_s2am_ard_3-2-1_50HQJ_2022-08-23_final
2022-09-09 11:26:55	ga_s2am_ard_3-2-1_51HVD_2022-09-09_final.stac-item
2022-10-05 11:43:22	ga_s2am_ard_3-2-1_51KUT_2022-10-05_final.stac-item
2022-10-22 11:33:54	ga_s2am_ard_3-2-1_51KXQ_2022-10-22_final.stac-item
2022-10-28 11:56:17	ga_s2am_ard_3-2-1_50JKM_2022-10-28_final.stac-item
2022-12-25 11:13:31	ga_s2am_ard_3-2-1_52KDA_2022-12-25_final.stac-item
2023-01-07 11:23:05	ga_s2am_ard_3-2-1_52KBC_2023-01-07_final.stac-item
2023-02-15 11:57:06	ga_s2am_ard_3-2-1_50HLH_2023-02-15_final.stac-item
2023-03-31 11:33:29	ga_s2am_ard_3-2-1_51KVS_2023-03-31_final.stac-item
2023-03-31 11:36:08	ga_s2am_ard_3-2-1_51JVF_2023-03-31_final.stac-item
2023-05-17 11:23:58	ga_s2am_ard_3-2-1_51KXQ_2023-05-17_final.stac-item
2023-08-04 11:57:20	ga_s2am_ard_3-2-1_49HGC_2023-08-04_nrt.stac-item
2023-09-23 11:55:48	ga_s2am_ard_3-2-1_50JKP_2023-09-23_final.stac-item
2023-10-14 11:23:08	ga_s2am_ard_3-2-1_51KYT_2023-10-14_final.stac-item
2023-10-22 10:45:47	ga_s2am_ard_3-2-1_52JGM_2023-10-22_final.stac-item
2023-12-18 12:15:06	ga_s2am_ard_3-2-1_49JGL_2023-12-18_final.stac-item
2024-01-03 10:54:30	ga_s2am_ard_3-2-1_52JFS_2024-01-03_final.stac-item
2024-02-04 11:32:58	ga_s2am_ard_3-2-1_51KYT_2024-02-04_final.stac-item
2024-02-27 11:42:59	ga_s2am_ard_3-2-1_51KUU_2024-02-27_final.stac-item
2024-03-23 10:55:47	ga_s2am_ard_3-2-1_52JFM_2024-03-23_final.stac-item
2024-04-14 11:33:58	ga_s2am_ard_3-2-1_51KWQ_2024-04-14_final.stac-item
2024-04-21 11:24:07	ga_s2am_ard_3-2-1_51KZP_2024-04-21_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