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
2015-08-14 11:12:47	ga_s2am_ard_3-2-1_51KZP_2015-08-14_final.stac-item
2015-09-03 11:12:48	ga_s2am_ard_3-2-1_51KZQ_2015-09-03_final.stac-item
2015-10-03 11:13:11	ga_s2am_ard_3-2-1_52KBC_2015-10-03_final.stac-item
2016-01-11 11:17:17	ga_s2am_ard_3-2-1_51JYN_2016-01-11_final.stac-item
2016-04-06 11:25:50	ga_s2am_ard_3-2-1_51KXV_2016-04-06_final.stac-item
2016-04-13 11:26:08	ga_s2am_ard_3-2-1_51HUE_2016-04-13_final.stac-item
2016-04-16 11:36:04	ga_s2am_ard_3-2-1_51HVE_2016-04-16_final.stac-item
2016-09-07 11:11:27	ga_s2am_ard_3-2-1_51KZQ_2016-09-07_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51KYP_2016-12-09_final
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_50JKP_2016-12-21_final
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_52KBV_2017-04-08_final
2017-06-07 11:19:47	ga_s2am_ard_3-2-1_51KYR_2017-06-07_final
2017-07-17 11:20:58	ga_s2am_ard_3-2-1_51KYR_2017-07-17_final
2017-08-06 11:22:11	ga_s2am_ard_3-2-1_51KXQ_2017-08-06_final
2017-08-06 11:22:11	ga_s2am_ard_3-2-1_51KYT_2017-08-06_final
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_51KVR_2017-08-19_final
2017-08-26 11:21:56	ga_s2am_ard_3-2-1_51KYS_2017-08-26_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KVV_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KWR_2017-11-27_final
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51LXD_2018-01-26_final
2018-02-12 11:16:56	ga_s2am_ard_3-2-1_51HUD_2018-02-12_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51KXU_2018-02-22_final
2018-04-20 11:10:14	ga_s2am_ard_3-2-1_52KBV_2018-04-20_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52KCA_2018-06-09_final
2018-06-22 11:20:28	ga_s2am_ard_3-2-1_51KXT_2018-06-22_final
2018-07-12 11:19:28	ga_s2am_ard_3-2-1_51KYR_2018-07-12_final
2018-08-11 11:19:45	ga_s2am_ard_3-2-1_51KZS_2018-08-11_final
2018-08-28 11:10:58	ga_s2am_ard_3-2-1_51KZR_2018-08-28_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGJ_2018-09-12_final
2018-11-20 10:55:06	ga_s2am_ard_3-2-1_52JGP_2018-11-20_final
2018-12-27 10:45:40	ga_s2am_ard_3-2-1_52JGM_2018-12-27_final
2019-02-10 11:32:22	ga_s2am_ard_3-2-1_51KXA_2019-02-10_final
2019-03-21 12:05:35	ga_s2am_ard_3-2-1_50JLP_2019-03-21_final
2019-04-14 11:43:24	ga_s2am_ard_3-2-1_50KQC_2019-04-14_final
2019-05-11 11:33:06	ga_s2am_ard_3-2-1_51KXT_2019-05-11_final
2019-06-04 11:13:41	ga_s2am_ard_3-2-1_52KBA_2019-06-04_final
2019-09-18 11:32:14	ga_s2am_ard_3-2-1_51KWB_2019-09-18_final
2019-10-11 11:47:12	ga_s2am_ard_3-2-1_50HMH_2019-10-11_final
2019-10-25 11:24:07	ga_s2am_ard_3-2-1_51KZP_2019-10-25_final
2019-11-27 11:32:40	ga_s2am_ard_3-2-1_51KXV_2019-11-27_final
2019-12-10 11:43:40	ga_s2am_ard_3-2-1_51KUR_2019-12-10_final
2020-01-14 10:55:36	ga_s2am_ard_3-2-1_52JGM_2020-01-14_final
2020-01-16 11:31:36	ga_s2am_ard_3-2-1_51LXD_2020-01-16_final
2020-01-19 11:42:50	ga_s2am_ard_3-2-1_51KVU_2020-01-19_final
2020-01-30 11:14:16	ga_s2am_ard_3-2-1_52JBT_2020-01-30_final
2020-02-02 11:23:02	ga_s2am_ard_3-2-1_51KYT_2020-02-02_final
2020-03-03 11:23:24	ga_s2am_ard_3-2-1_51KXS_2020-03-03_final
2020-03-13 11:23:46	ga_s2am_ard_3-2-1_52KBV_2020-03-13_final
2020-03-26 11:33:41	ga_s2am_ard_3-2-1_51KVR_2020-03-26_final
2020-04-05 11:33:56	ga_s2am_ard_3-2-1_51KVQ_2020-04-05_final
2020-05-04 12:04:03	ga_s2am_ard_3-2-1_49KHR_2020-05-04_final.stac-item
2020-06-28 11:14:29	ga_s2am_ard_3-2-1_51JZN_2020-06-28_final
2020-07-28 11:14:14	ga_s2am_ard_3-2-1_52KBU_2020-07-28_final
2020-08-16 11:43:09	ga_s2am_ard_3-2-1_51KTU_2020-08-16_final
2020-08-16 11:45:54	ga_s2am_ard_3-2-1_51JTH_2020-08-16_final
2020-08-30 11:23:54	ga_s2am_ard_3-2-1_52KBV_2020-08-30_final
2020-09-29 11:21:31	ga_s2am_ard_3-2-1_51LZE_2020-09-29_final
2020-10-02 11:33:28	ga_s2am_ard_3-2-1_51KUT_2020-10-02_final
2020-10-22 11:33:43	ga_s2am_ard_3-2-1_51KXR_2020-10-22_final
2021-02-13 11:14:08	ga_s2am_ard_3-2-1_52KBU_2021-02-13_final
2021-02-26 11:23:28	ga_s2am_ard_3-2-1_51KXS_2021-02-26_final
2021-03-11 11:33:38	ga_s2am_ard_3-2-1_51KXR_2021-03-11_final
2021-04-03 11:42:32	ga_s2am_ard_3-2-1_51KVV_2021-04-03_final
2021-04-24 11:13:35	ga_s2am_ard_3-2-1_52KBA_2021-04-24_final
2021-06-19 11:34:11	ga_s2am_ard_3-2-1_51KWP_2021-06-19_final
2021-08-25 11:23:08	ga_s2am_ard_3-2-1_52KBC_2021-08-25_final
2021-09-07 11:33:45	ga_s2am_ard_3-2-1_51KVR_2021-09-07_final
2021-10-13 11:57:15	ga_s2am_ard_3-2-1_50HLH_2021-10-13_final
2021-10-14 11:23:16	ga_s2am_ard_3-2-1_51KYT_2021-10-14_final
2021-10-25 10:55:51	ga_s2am_ard_3-2-1_52JFM_2021-10-25_final
2021-11-03 11:23:43	ga_s2am_ard_3-2-1_51KYR_2021-11-03_final
2021-11-23 11:23:39	ga_s2am_ard_3-2-1_51KYR_2021-11-23_final
2021-11-26 11:34:03	ga_s2am_ard_3-2-1_51KUQ_2021-11-26_final
2022-01-02 11:23:44	ga_s2am_ard_3-2-1_51KXR_2022-01-02_final
2022-01-22 11:23:35	ga_s2am_ard_3-2-1_51KZR_2022-01-22_final
2022-03-02 11:56:33	ga_s2am_ard_3-2-1_50HNK_2022-03-02_final
2022-03-03 11:23:22	ga_s2am_ard_3-2-1_52KBB_2022-03-03_final
2022-03-26 11:36:08	ga_s2am_ard_3-2-1_50JQM_2022-03-26_final
2022-05-09 11:14:13	ga_s2am_ard_3-2-1_52KBU_2022-05-09_final
2022-06-18 11:15:30	ga_s2am_ard_3-2-1_52JCP_2022-06-18_final
2022-09-25 11:47:17	ga_s2am_ard_3-2-1_50HMH_2022-09-25_final.stac-item
2022-10-11 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2022-10-11_final.stac-item
2022-10-12 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2022-10-12_final.stac-item
2022-10-22 11:33:29	ga_s2am_ard_3-2-1_51KWS_2022-10-22_final.stac-item
2022-10-29 11:23:17	ga_s2am_ard_3-2-1_51KXT_2022-10-29_final.stac-item
2022-11-27 11:52:19	ga_s2am_ard_3-2-1_50KQG_2022-11-27_final.stac-item
2023-01-08 10:55:41	ga_s2am_ard_3-2-1_52JGM_2023-01-08_final.stac-item
2023-05-26 11:56:17	ga_s2am_ard_3-2-1_50JKM_2023-05-26_final.stac-item
2023-06-16 11:23:54	ga_s2am_ard_3-2-1_52KBV_2023-06-16_final.stac-item
2023-06-18 12:06:05	ga_s2am_ard_3-2-1_50JKM_2023-06-18_final.stac-item
2023-07-06 11:25:44	ga_s2am_ard_3-2-1_51JXH_2023-07-06_final.stac-item
2023-08-18 11:34:16	ga_s2am_ard_3-2-1_51KWP_2023-08-18_final.stac-item
2023-10-10 11:43:03	ga_s2am_ard_3-2-1_50KRD_2023-10-10_final.stac-item
2023-11-03 11:23:20	ga_s2am_ard_3-2-1_51KZS_2023-11-03_final.stac-item
2023-12-03 11:24:02	ga_s2am_ard_3-2-1_51KZP_2023-12-03_final.stac-item
2023-12-29 11:43:15	ga_s2am_ard_3-2-1_50KRC_2023-12-29_final.stac-item
2024-01-12 11:23:01	ga_s2am_ard_3-2-1_51KZT_2024-01-12_final.stac-item
2024-02-16 12:13:52	ga_s2am_ard_3-2-1_50KKA_2024-02-16_final.stac-item
2024-03-06 11:05:59	ga_s2am_ard_3-2-1_52JBM_2024-03-06_final.stac-item
2024-05-21 11:24:05	ga_s2am_ard_3-2-1_52KBU_2024-05-21_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