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
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51KXV_2016-01-07_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51LZC_2016-02-06_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_50HPK_2016-04-06_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51LVC_2016-05-09_final.stac-item
2016-05-26 11:36:09	ga_s2am_ard_3-2-1_51JVF_2016-05-26_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49KHR_2016-06-04_final.stac-item
2016-10-15 12:14:37	ga_s2am_ard_3-2-1_49JGL_2016-10-15_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_51KVB_2016-10-16_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51LYD_2016-12-22_final
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_50KQA_2017-01-24_final
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51KUP_2017-01-31_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_51LVC_2017-02-03_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50KKV_2017-02-09_final
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50KQU_2017-02-13_final
2017-05-25 11:12:04	ga_s2am_ard_3-2-1_52JCN_2017-05-25_final
2017-08-19 11:36:41	ga_s2am_ard_3-2-1_50HQJ_2017-08-19_final
2017-10-25 11:21:08	ga_s2am_ard_3-2-1_51KXR_2017-10-25_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_52JBM_2017-12-11_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50KQV_2018-02-01_final
2018-02-18 11:37:49	ga_s2am_ard_3-2-1_51LVC_2018-02-18_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JXJ_2018-02-22_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JZM_2018-02-22_final
2018-03-01 11:11:47	ga_s2am_ard_3-2-1_51JYM_2018-03-01_final
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51JWH_2018-03-04_final
2018-04-20 11:10:14	ga_s2am_ard_3-2-1_51JZM_2018-04-20_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JMN_2018-04-22_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50KMV_2018-04-25_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50JKP_2018-06-01_final
2018-09-30 11:16:55	ga_s2am_ard_3-2-1_51KXP_2018-09-30_final
2018-11-09 11:22:19	ga_s2am_ard_3-2-1_51KZA_2018-11-09_final
2018-11-12 11:36:47	ga_s2am_ard_3-2-1_50HPJ_2018-11-12_final
2018-12-15 11:46:45	ga_s2am_ard_3-2-1_50HQH_2018-12-15_final
2019-01-15 11:15:58	ga_s2am_ard_3-2-1_52JCL_2019-01-15_final
2019-02-02 12:13:51	ga_s2am_ard_3-2-1_49KHR_2019-02-02_final
2019-03-01 12:06:05	ga_s2am_ard_3-2-1_50JKM_2019-03-01_final
2019-07-14 11:16:25	ga_s2am_ard_3-2-1_52HBK_2019-07-14_final
2019-11-04 11:24:07	ga_s2am_ard_3-2-1_51KZP_2019-11-04_final
2019-11-09 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2019-11-09_final
2020-01-06 11:32:09	ga_s2am_ard_3-2-1_51KWB_2020-01-06_final
2020-03-03 11:23:45	ga_s2am_ard_3-2-1_51KZQ_2020-03-03_final
2020-03-25 12:05:52	ga_s2am_ard_3-2-1_50JKN_2020-03-25_final
2020-04-02 11:26:14	ga_s2am_ard_3-2-1_51JUF_2020-04-02_final
2020-04-28 11:43:46	ga_s2am_ard_3-2-1_51KUR_2020-04-28_final
2020-05-24 12:03:39	ga_s2am_ard_3-2-1_50KNB_2020-05-24_final
2020-05-25 11:33:51	ga_s2am_ard_3-2-1_51KVR_2020-05-25_final
2020-05-25 11:34:09	ga_s2am_ard_3-2-1_51KUQ_2020-05-25_final
2020-05-29 11:14:35	ga_s2am_ard_3-2-1_51JYN_2020-05-29_final
2020-06-11 11:25:37	ga_s2am_ard_3-2-1_51JVJ_2020-06-11_final
2020-09-28 11:56:42	ga_s2am_ard_3-2-1_50HMK_2020-09-28_final
2020-09-29 11:25:44	ga_s2am_ard_3-2-1_51JXH_2020-09-29_final
2020-10-14 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-10-14_final
2020-11-03 12:15:05	ga_s2am_ard_3-2-1_49JFM_2020-11-03_final
2020-12-04 11:42:26	ga_s2am_ard_3-2-1_51KVA_2020-12-04_final
2020-12-28 11:23:21	ga_s2am_ard_3-2-1_51KZS_2020-12-28_final
2021-01-20 11:33:39	ga_s2am_ard_3-2-1_51KXR_2021-01-20_final
2021-01-30 11:33:09	ga_s2am_ard_3-2-1_51KXT_2021-01-30_final
2021-02-05 11:55:41	ga_s2am_ard_3-2-1_50JLP_2021-02-05_final
2021-02-12 11:44:00	ga_s2am_ard_3-2-1_50KRV_2021-02-12_final
2021-03-30 12:05:53	ga_s2am_ard_3-2-1_50JKN_2021-03-30_final
2021-04-20 11:34:32	ga_s2am_ard_3-2-1_51JTN_2021-04-20_final
2021-04-21 11:06:19	ga_s2am_ard_3-2-1_52HBK_2021-04-21_final
2021-06-03 11:15:30	ga_s2am_ard_3-2-1_51JXJ_2021-06-03_final
2021-07-09 11:32:53	ga_s2am_ard_3-2-1_51KYU_2021-07-09_final
2021-08-08 11:36:49	ga_s2am_ard_3-2-1_51HTD_2021-08-08_final
2021-08-21 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2021-08-21_final
2021-10-20 11:46:39	ga_s2am_ard_3-2-1_50HPK_2021-10-20_final
2021-11-19 11:45:14	ga_s2am_ard_3-2-1_51JTK_2021-11-19_final
2022-01-22 11:26:36	ga_s2am_ard_3-2-1_51HXD_2022-01-22_final
2022-02-01 11:25:46	ga_s2am_ard_3-2-1_51JVH_2022-02-01_final
2022-04-01 11:55:41	ga_s2am_ard_3-2-1_50JMP_2022-04-01_final
2022-05-29 11:14:31	ga_s2am_ard_3-2-1_52JBT_2022-05-29_final
2022-05-29 11:16:34	ga_s2am_ard_3-2-1_51HXE_2022-05-29_final
2022-06-11 11:25:26	ga_s2am_ard_3-2-1_51JVK_2022-06-11_final
2022-07-10 11:56:27	ga_s2am_ard_3-2-1_50JKM_2022-07-10_final
2022-07-13 12:05:53	ga_s2am_ard_3-2-1_50JKP_2022-07-13_final
2022-07-21 11:24:52	ga_s2am_ard_3-2-1_51JXM_2022-07-21_final
2022-08-10 11:26:17	ga_s2am_ard_3-2-1_51JUG_2022-08-10_final
2022-08-16 11:47:22	ga_s2am_ard_3-2-1_50HMH_2022-08-16_final
2022-09-15 13:21:54	ga_s2am_ard_3-2-1_47LKG_2022-09-15_interim.stac-item
2022-10-03 11:05:59	ga_s2am_ard_3-2-1_52JCM_2022-10-03_final.stac-item
2022-10-22 11:36:19	ga_s2am_ard_3-2-1_51JTF_2022-10-22_final.stac-item
2022-10-22 11:36:28	ga_s2am_ard_3-2-1_50JPL_2022-10-22_final.stac-item
2023-01-27 11:23:08	ga_s2am_ard_3-2-1_51KYT_2023-01-27_final.stac-item
2023-01-30 11:31:04	ga_s2am_ard_3-2-1_51LZF_2023-01-30_final.stac-item
2023-02-23 11:14:27	ga_s2am_ard_3-2-1_51JYN_2023-02-23_final.stac-item
2023-05-17 11:25:25	ga_s2am_ard_3-2-1_51JXJ_2023-05-17_final.stac-item
2023-05-30 11:37:05	ga_s2am_ard_3-2-1_51HTC_2023-05-30_final.stac-item
2023-06-26 11:24:08	ga_s2am_ard_3-2-1_51KXP_2023-06-26_final.stac-item
2023-07-19 11:36:17	ga_s2am_ard_3-2-1_51JTF_2023-07-19_final.stac-item
2023-07-19 11:36:51	ga_s2am_ard_3-2-1_51HTD_2023-07-19_final.stac-item
2023-10-01 12:51:02	ga_s2am_ard_3-2-1_48LWP_2023-10-01_final.stac-item
2023-12-29 11:46:49	ga_s2am_ard_3-2-1_50HNJ_2023-12-29_final.stac-item
2024-01-05 11:36:30	ga_s2am_ard_3-2-1_50HQK_2024-01-05_final.stac-item
2024-01-12 11:26:42	ga_s2am_ard_3-2-1_51HUD_2024-01-12_final.stac-item
2024-01-28 11:42:16	ga_s2am_ard_3-2-1_51KWA_2024-01-28_final.stac-item
2024-02-16 12:14:06	ga_s2am_ard_3-2-1_49KHQ_2024-02-16_final.stac-item
2024-03-12 11:26:47	ga_s2am_ard_3-2-1_51HUD_2024-03-12_final.stac-item
2024-03-22 11:26:45	ga_s2am_ard_3-2-1_51HVD_2024-03-22_final.stac-item
2024-04-07 11:42:12	ga_s2am_ard_3-2-1_51KVB_2024-04-07_final.stac-item
2024-04-14 11:33:25	ga_s2am_ard_3-2-1_51KXS_2024-04-14_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