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
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_51KUT_2015-12-21_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HMG_2016-04-19_final.stac-item
2016-04-27 10:57:17	ga_s2am_ard_3-2-1_52LHM_2016-04-27_final.stac-item
2016-05-26 11:36:09	ga_s2am_ard_3-2-1_50JQM_2016-05-26_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51KXS_2016-07-22_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_51KVS_2016-08-04_final.stac-item
2016-09-14 10:57:41	ga_s2am_ard_3-2-1_52JGT_2016-09-14_final.stac-item
2016-09-27 11:11:31	ga_s2am_ard_3-2-1_51KZQ_2016-09-27_final.stac-item
2016-12-17 10:43:37	ga_s2am_ard_3-2-1_52JGL_2016-12-17_final
2016-12-23 11:02:53	ga_s2am_ard_3-2-1_52KDU_2016-12-23_final
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_51HVE_2017-04-28_final
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_51JTG_2017-05-11_final
2017-08-26 11:21:56	ga_s2am_ard_3-2-1_51KZQ_2017-08-26_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50JNR_2017-12-10_final
2017-12-21 11:12:09	ga_s2am_ard_3-2-1_52JDT_2017-12-21_final
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KWT_2018-01-26_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51KXS_2018-02-25_final
2018-03-08 10:57:12	ga_s2am_ard_3-2-1_52LGM_2018-03-08_final
2018-05-07 10:57:18	ga_s2am_ard_3-2-1_52KHC_2018-05-07_final
2018-05-20 11:07:15	ga_s2am_ard_3-2-1_52LFN_2018-05-20_final.stac-item
2018-05-28 10:27:09	ga_s2am_ard_3-2-1_53HLD_2018-05-28_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KUT_2018-06-08_final
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_51KUT_2018-06-25_final
2018-08-18 11:12:58	ga_s2am_ard_3-2-1_51HWD_2018-08-18_final
2018-09-06 11:40:28	ga_s2am_ard_3-2-1_50JNM_2018-09-06_final
2018-10-10 11:16:56	ga_s2am_ard_3-2-1_51KWQ_2018-10-10_final
2018-12-24 10:36:21	ga_s2am_ard_3-2-1_53HLD_2018-12-24_final
2019-01-24 11:43:21	ga_s2am_ard_3-2-1_51KVS_2019-01-24_final
2019-01-31 11:33:27	ga_s2am_ard_3-2-1_51KVS_2019-01-31_final
2019-02-04 11:16:34	ga_s2am_ard_3-2-1_51HYD_2019-02-04_final
2019-03-11 12:05:24	ga_s2am_ard_3-2-1_49JGK_2019-03-11_final
2019-04-01 11:33:38	ga_s2am_ard_3-2-1_51KXR_2019-04-01_final
2019-04-08 11:23:04	ga_s2am_ard_3-2-1_52KCC_2019-04-08_final
2019-05-02 11:03:20	ga_s2am_ard_3-2-1_52KFB_2019-05-02_final
2019-06-04 11:13:56	ga_s2am_ard_3-2-1_51KZQ_2019-06-04_final
2019-06-17 11:23:46	ga_s2am_ard_3-2-1_51KXR_2019-06-17_final
2019-07-17 11:24:11	ga_s2am_ard_3-2-1_52KBU_2019-07-17_final
2019-08-29 11:33:53	ga_s2am_ard_3-2-1_51KXQ_2019-08-29_final
2019-09-08 11:31:59	ga_s2am_ard_3-2-1_51LWC_2019-09-08_final
2019-09-22 11:13:30	ga_s2am_ard_3-2-1_52KEA_2019-09-22_final
2019-12-14 11:23:20	ga_s2am_ard_3-2-1_51KYS_2019-12-14_final
2020-03-19 11:43:25	ga_s2am_ard_3-2-1_51KUS_2020-03-19_final
2020-04-25 11:33:36	ga_s2am_ard_3-2-1_51KUS_2020-04-25_final
2020-05-08 11:43:08	ga_s2am_ard_3-2-1_50KRD_2020-05-08_final
2020-05-12 11:23:18	ga_s2am_ard_3-2-1_51KXT_2020-05-12_final
2020-05-24 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-05-24_final
2020-05-25 11:33:09	ga_s2am_ard_3-2-1_51KXU_2020-05-25_final
2020-06-08 11:14:15	ga_s2am_ard_3-2-1_52KBU_2020-06-08_final
2020-07-14 11:32:59	ga_s2am_ard_3-2-1_51KXU_2020-07-14_final
2020-11-18 11:24:46	ga_s2am_ard_3-2-1_52JBR_2020-11-18_final
2020-11-24 11:42:15	ga_s2am_ard_3-2-1_51KVB_2020-11-24_final
2020-11-28 11:22:49	ga_s2am_ard_3-2-1_52KCD_2020-11-28_final
2021-01-27 11:23:50	ga_s2am_ard_3-2-1_52KBV_2021-01-27_final
2021-02-02 11:44:23	ga_s2am_ard_3-2-1_50KPU_2021-02-02_final
2021-02-09 11:31:47	ga_s2am_ard_3-2-1_51LZC_2021-02-09_final
2021-02-09 11:33:00	ga_s2am_ard_3-2-1_51KVU_2021-02-09_final
2021-06-03 11:13:34	ga_s2am_ard_3-2-1_52KDA_2021-06-03_final
2021-07-22 11:45:47	ga_s2am_ard_3-2-1_51JTH_2021-07-22_final
2021-07-29 11:33:01	ga_s2am_ard_3-2-1_51KWU_2021-07-29_final
2021-08-01 11:45:50	ga_s2am_ard_3-2-1_50JQN_2021-08-01_final
2021-08-01 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2021-08-01_final
2021-08-15 11:23:19	ga_s2am_ard_3-2-1_52KCB_2021-08-15_final
2021-10-21 11:16:46	ga_s2am_ard_3-2-1_51HXD_2021-10-21_final
2021-11-19 11:42:17	ga_s2am_ard_3-2-1_51KUB_2021-11-19_final.stac-item
2021-11-19 11:43:25	ga_s2am_ard_3-2-1_51KVS_2021-11-19_final
2021-11-22 11:56:18	ga_s2am_ard_3-2-1_50JNL_2021-11-22_final
2021-12-30 11:13:35	ga_s2am_ard_3-2-1_52KDA_2021-12-30_final
2022-01-22 11:23:10	ga_s2am_ard_3-2-1_51KYT_2022-01-22_final
2022-02-03 12:05:41	ga_s2am_ard_3-2-1_50JKP_2022-02-03_final
2022-03-15 12:05:59	ga_s2am_ard_3-2-1_50JKN_2022-03-15_final
2022-03-26 11:33:21	ga_s2am_ard_3-2-1_51KXS_2022-03-26_final
2022-04-19 11:13:23	ga_s2am_ard_3-2-1_52KDB_2022-04-19_final
2022-04-28 11:44:03	ga_s2am_ard_3-2-1_51KUQ_2022-04-28_final
2022-05-02 11:23:59	ga_s2am_ard_3-2-1_51KYQ_2022-05-02_final
2022-06-11 11:26:24	ga_s2am_ard_3-2-1_51JVF_2022-06-11_final
2022-07-11 11:23:56	ga_s2am_ard_3-2-1_51KXR_2022-07-11_final
2022-08-03 11:36:37	ga_s2am_ard_3-2-1_50JPL_2022-08-03_final
2022-10-22 11:33:03	ga_s2am_ard_3-2-1_51KVU_2022-10-22_final.stac-item
2022-10-26 11:13:57	ga_s2am_ard_3-2-1_52KBV_2022-10-26_final.stac-item
2022-12-11 11:33:45	ga_s2am_ard_3-2-1_51KVR_2022-12-11_final.stac-item
2022-12-14 11:47:24	ga_s2am_ard_3-2-1_50HMG_2022-12-14_final.stac-item
2023-01-23 11:42:13	ga_s2am_ard_3-2-1_51KUB_2023-01-23_final.stac-item
2023-01-25 10:45:44	ga_s2am_ard_3-2-1_52JGM_2023-01-25_final.stac-item
2023-03-20 12:06:08	ga_s2am_ard_3-2-1_50JKM_2023-03-20_final.stac-item
2023-04-27 11:23:50	ga_s2am_ard_3-2-1_51KZQ_2023-04-27_final.stac-item
2023-05-09 12:06:04	ga_s2am_ard_3-2-1_50JLM_2023-05-09_final.stac-item
2023-05-14 11:13:40	ga_s2am_ard_3-2-1_51KZR_2023-05-14_final.stac-item
2023-05-30 11:37:01	ga_s2am_ard_3-2-1_51HUC_2023-05-30_final.stac-item
2023-06-29 11:32:08	ga_s2am_ard_3-2-1_51LXC_2023-06-29_final.stac-item
2023-06-29 11:34:04	ga_s2am_ard_3-2-1_51KVQ_2023-06-29_final.stac-item
2023-08-28 11:32:25	ga_s2am_ard_3-2-1_51KVB_2023-08-28_final.stac-item
2023-09-01 11:13:27	ga_s2am_ard_3-2-1_52KCB_2023-09-01_final.stac-item
2023-09-21 11:13:26	ga_s2am_ard_3-2-1_52KEA_2023-09-21_final.stac-item
2023-10-27 11:33:30	ga_s2am_ard_3-2-1_51KVS_2023-10-27_final.stac-item
2023-11-03 11:23:23	ga_s2am_ard_3-2-1_51KYS_2023-11-03_final.stac-item
2023-12-16 11:33:05	ga_s2am_ard_3-2-1_51KXT_2023-12-16_final.stac-item
2023-12-26 11:36:54	ga_s2am_ard_3-2-1_51HUC_2023-12-26_final.stac-item
2023-12-27 11:03:13	ga_s2am_ard_3-2-1_52KFB_2023-12-27_final.stac-item
2024-03-12 11:24:30	ga_s2am_ard_3-2-1_51JWN_2024-03-12_final.stac-item
2024-03-19 11:16:23	ga_s2am_ard_3-2-1_51HYE_2024-03-19_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