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
2015-10-23 11:14:04	ga_s2am_ard_3-2-1_51JYL_2015-10-23_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51KYU_2015-11-25_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JQN_2016-01-20_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HPK_2016-04-29_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49KHQ_2016-06-24_final.stac-item
2016-07-31 11:56:12	ga_s2am_ard_3-2-1_50HMK_2016-07-31_final.stac-item
2016-10-20 11:26:04	ga_s2am_ard_3-2-1_51JVF_2016-10-20_final.stac-item
2016-11-23 11:01:01	ga_s2am_ard_3-2-1_52KEV_2016-11-23_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52KCC_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52KEC_2016-12-06_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51HUC_2016-12-22_final
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51KWP_2017-01-08_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_50KQA_2017-01-14_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51LZE_2017-03-19_final
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_52KEB_2017-04-15_final
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_50HPH_2017-05-11_final
2017-07-06 11:56:07	ga_s2am_ard_3-2-1_50JKM_2017-07-06_final
2017-11-01 11:12:01	ga_s2am_ard_3-2-1_52KEF_2017-11-01_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51JVH_2017-12-04_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51KYS_2018-01-13_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52KDE_2018-02-19_final
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_51KZQ_2018-03-11_final
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_50JQM_2018-03-27_final
2018-04-05 12:02:49	ga_s2am_ard_3-2-1_50KLA_2018-04-05_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51HTD_2018-05-26_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51JWN_2018-05-26_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50JKN_2018-06-04_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JCM_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52KDV_2018-06-06_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_51HYD_2018-06-09_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_51JYM_2018-06-19_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50KMV_2018-07-04_final
2018-09-27 11:12:40	ga_s2am_ard_3-2-1_51HYD_2018-09-27_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51KZP_2018-09-30_final
2018-10-01 10:47:21	ga_s2am_ard_3-2-1_52JFM_2018-10-01_final
2018-11-29 11:23:53	ga_s2am_ard_3-2-1_51KWQ_2018-11-29_final
2018-12-10 10:55:34	ga_s2am_ard_3-2-1_52JGM_2018-12-10_final
2019-03-21 12:06:08	ga_s2am_ard_3-2-1_50JKM_2019-03-21_final
2019-03-25 11:43:32	ga_s2am_ard_3-2-1_50KRB_2019-03-25_final
2019-03-25 11:43:50	ga_s2am_ard_3-2-1_50KQA_2019-03-25_final
2019-04-04 11:46:31	ga_s2am_ard_3-2-1_50HQK_2019-04-04_final
2019-04-10 12:05:39	ga_s2am_ard_3-2-1_50JLP_2019-04-10_final
2019-07-28 10:56:05	ga_s2am_ard_3-2-1_52JFL_2019-07-28_final
2019-11-03 11:56:28	ga_s2am_ard_3-2-1_50JLL_2019-11-03_final
2020-01-06 11:33:51	ga_s2am_ard_3-2-1_51KWQ_2020-01-06_final
2020-01-10 11:16:14	ga_s2am_ard_3-2-1_52HBK_2020-01-10_final
2020-02-07 12:15:02	ga_s2am_ard_3-2-1_49JGL_2020-02-07_final
2020-03-13 11:24:51	ga_s2am_ard_3-2-1_51JXL_2020-03-13_final
2020-03-19 11:45:03	ga_s2am_ard_3-2-1_50JPR_2020-03-19_final
2020-04-25 11:35:14	ga_s2am_ard_3-2-1_51JVK_2020-04-25_final
2020-04-25 11:36:07	ga_s2am_ard_3-2-1_50JQM_2020-04-25_final
2020-05-26 11:03:55	ga_s2am_ard_3-2-1_52KEV_2020-05-26_final
2020-06-13 12:06:10	ga_s2am_ard_3-2-1_50JLM_2020-06-13_final
2020-06-16 12:15:26	ga_s2am_ard_3-2-1_49JGK_2020-06-16_final
2020-09-17 10:46:05	ga_s2am_ard_3-2-1_52JGL_2020-09-17_final
2020-11-18 11:24:11	ga_s2am_ard_3-2-1_51KYP_2020-11-18_final
2020-12-08 11:22:39	ga_s2am_ard_3-2-1_51KYV_2020-12-08_final
2020-12-11 11:33:12	ga_s2am_ard_3-2-1_51KVT_2020-12-11_final
2021-01-30 11:31:49	ga_s2am_ard_3-2-1_51LZC_2021-01-30_final
2021-01-30 11:33:16	ga_s2am_ard_3-2-1_51KVT_2021-01-30_final
2021-03-14 11:43:21	ga_s2am_ard_3-2-1_50KQC_2021-03-14_final
2021-03-21 11:32:24	ga_s2am_ard_3-2-1_51KXA_2021-03-21_final
2021-03-25 11:16:21	ga_s2am_ard_3-2-1_51HYE_2021-03-25_final
2021-04-03 11:46:59	ga_s2am_ard_3-2-1_50HPH_2021-04-03_final
2021-06-09 11:36:58	ga_s2am_ard_3-2-1_51HUC_2021-06-09_final
2021-06-16 11:23:21	ga_s2am_ard_3-2-1_51KZS_2021-06-16_final
2021-07-12 11:45:35	ga_s2am_ard_3-2-1_50JQP_2021-07-12_final
2021-07-12 11:46:22	ga_s2am_ard_3-2-1_50JPL_2021-07-12_final
2021-07-20 11:06:27	ga_s2am_ard_3-2-1_52HBK_2021-07-20_final
2021-12-28 12:14:14	ga_s2am_ard_3-2-1_49KGQ_2021-12-28_final
2022-03-29 11:44:19	ga_s2am_ard_3-2-1_51KTP_2022-03-29_final
2022-03-29 11:44:30	ga_s2am_ard_3-2-1_51JUN_2022-03-29_final
2022-03-29 11:45:53	ga_s2am_ard_3-2-1_50JPN_2022-03-29_final
2022-05-12 11:25:34	ga_s2am_ard_3-2-1_51JVJ_2022-05-12_final
2022-05-22 11:25:02	ga_s2am_ard_3-2-1_51JXL_2022-05-22_final
2022-05-28 11:45:36	ga_s2am_ard_3-2-1_51JTJ_2022-05-28_final
2022-05-31 11:55:03	ga_s2am_ard_3-2-1_50JMS_2022-05-31_final
2022-06-01 11:24:37	ga_s2am_ard_3-2-1_51JWN_2022-06-01_final
2022-06-11 11:26:57	ga_s2am_ard_3-2-1_51HUD_2022-06-11_final
2022-06-29 10:46:13	ga_s2am_ard_3-2-1_52JGL_2022-06-29_final
2022-08-17 11:15:50	ga_s2am_ard_3-2-1_52JCN_2022-08-17_final
2022-08-19 11:57:04	ga_s2am_ard_3-2-1_50HMJ_2022-08-19_final
2022-09-12 11:35:23	ga_s2am_ard_3-2-1_51JVK_2022-09-12_final.stac-item
2022-09-29 11:24:58	ga_s2am_ard_3-2-1_51JYL_2022-09-29_final.stac-item
2022-09-29 11:25:20	ga_s2am_ard_3-2-1_51JWK_2022-09-29_final.stac-item
2022-10-02 11:35:08	ga_s2am_ard_3-2-1_51JUL_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
2022-10-12 11:37:12	ga_s2am_ard_3-2-1_50HPH_2022-10-12_final.stac-item
2022-12-11 11:33:34	ga_s2am_ard_3-2-1_51KUS_2022-12-11_final.stac-item
2022-12-25 11:12:30	ga_s2am_ard_3-2-1_52KEE_2022-12-25_final.stac-item
2023-01-03 11:43:14	ga_s2am_ard_3-2-1_51KUT_2023-01-03_final.stac-item
2023-03-07 11:57:10	ga_s2am_ard_3-2-1_49HGC_2023-03-07_nrt.stac-item
2023-06-22 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2023-06-22_final.stac-item
2023-09-06 12:06:15	ga_s2am_ard_3-2-1_50JKM_2023-09-06_final.stac-item
2023-12-06 11:35:39	ga_s2am_ard_3-2-1_51JUH_2023-12-06_final.stac-item
2023-12-10 11:16:17	ga_s2am_ard_3-2-1_51HYE_2023-12-10_final.stac-item
2024-01-12 11:22:55	ga_s2am_ard_3-2-1_51KXU_2024-01-12_final.stac-item
2024-01-31 11:57:08	ga_s2am_ard_3-2-1_50HKH_2024-01-31_final.stac-item
2024-02-11 11:21:07	ga_s2am_ard_3-2-1_51LZF_2024-02-11_final.stac-item
2024-04-11 11:24:56	ga_s2am_ard_3-2-1_51JXL_2024-04-11_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