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
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51KWT_2016-03-07_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HNJ_2016-04-19_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51KYR_2016-05-03_final.stac-item
2016-06-06 11:05:23	ga_s2am_ard_3-2-1_52JBM_2016-06-06_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_51HVC_2016-09-20_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_50JLN_2016-11-11_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51KUS_2016-12-05_final.stac-item
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_51HYD_2016-12-26_final
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51KZV_2016-12-29_final.stac-item
2017-02-24 11:12:09	ga_s2am_ard_3-2-1_51KZS_2017-02-24_final
2017-02-27 11:22:43	ga_s2am_ard_3-2-1_51HVC_2017-02-27_final
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51KWS_2017-05-31_final
2017-11-07 11:26:54	ga_s2am_ard_3-2-1_51LZD_2017-11-07_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51JVJ_2017-12-04_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52JEL_2017-12-18_final
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_51KXS_2018-02-02_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51LZE_2018-02-15_final
2018-03-14 11:21:15	ga_s2am_ard_3-2-1_51KWQ_2018-03-14_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50HMK_2018-04-12_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JKM_2018-05-25_final
2018-06-15 11:26:20	ga_s2am_ard_3-2-1_51KXT_2018-06-15_final
2018-07-05 11:29:39	ga_s2am_ard_3-2-1_51JVL_2018-07-05_final
2018-09-28 10:37:23	ga_s2am_ard_3-2-1_52JGL_2018-09-28_final
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52JDL_2018-11-03_final
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52JEQ_2018-11-03_final
2018-12-22 11:33:04	ga_s2am_ard_3-2-1_51KWT_2018-12-22_final
2019-04-11 11:33:47	ga_s2am_ard_3-2-1_51KVR_2019-04-11_final
2019-05-21 11:33:12	ga_s2am_ard_3-2-1_51KXT_2019-05-21_final
2019-06-23 11:45:43	ga_s2am_ard_3-2-1_50JNP_2019-06-23_final
2019-06-27 11:26:01	ga_s2am_ard_3-2-1_51JWG_2019-06-27_final
2019-07-14 11:16:42	ga_s2am_ard_3-2-1_51HYD_2019-07-14_final
2019-10-11 11:43:17	ga_s2am_ard_3-2-1_51KUT_2019-10-11_final
2019-12-20 11:44:43	ga_s2am_ard_3-2-1_51JTM_2019-12-20_final
2019-12-24 11:23:04	ga_s2am_ard_3-2-1_51KYT_2019-12-24_final
2020-01-06 11:33:54	ga_s2am_ard_3-2-1_51KVQ_2020-01-06_final
2020-01-16 11:32:41	ga_s2am_ard_3-2-1_51KVV_2020-01-16_final
2020-02-12 11:26:54	ga_s2am_ard_3-2-1_51HUC_2020-02-12_final
2020-03-24 10:54:18	ga_s2am_ard_3-2-1_52JFT_2020-03-24_final
2020-03-26 11:33:27	ga_s2am_ard_3-2-1_51KVS_2020-03-26_final
2020-03-30 11:14:27	ga_s2am_ard_3-2-1_52JCS_2020-03-30_final
2020-05-24 12:04:31	ga_s2am_ard_3-2-1_50KLU_2020-05-24_final
2020-05-29 11:14:29	ga_s2am_ard_3-2-1_52JBT_2020-05-29_final
2020-06-18 11:16:36	ga_s2am_ard_3-2-1_51HWE_2020-06-18_final
2020-07-01 11:27:07	ga_s2am_ard_3-2-1_51HUC_2020-07-01_final
2020-08-03 11:36:52	ga_s2am_ard_3-2-1_51HTD_2020-08-03_final
2020-09-14 12:15:24	ga_s2am_ard_3-2-1_49JGK_2020-09-14_final
2020-09-22 11:33:43	ga_s2am_ard_3-2-1_51KXR_2020-09-22_final
2020-11-18 11:26:10	ga_s2am_ard_3-2-1_51JXF_2020-11-18_final
2020-11-22 11:04:41	ga_s2am_ard_3-2-1_52JDS_2020-11-22_final
2020-12-11 11:33:30	ga_s2am_ard_3-2-1_51KUS_2020-12-11_final
2021-02-09 11:33:44	ga_s2am_ard_3-2-1_51KVR_2021-02-09_final
2021-03-25 11:15:46	ga_s2am_ard_3-2-1_52JCM_2021-03-25_final
2021-04-03 11:41:55	ga_s2am_ard_3-2-1_51LVC_2021-04-03_final
2021-04-07 11:26:54	ga_s2am_ard_3-2-1_51HVC_2021-04-07_final
2021-04-20 11:33:08	ga_s2am_ard_3-2-1_51KWT_2021-04-20_final
2021-04-20 11:33:43	ga_s2am_ard_3-2-1_51KUR_2021-04-20_final
2021-05-24 11:14:21	ga_s2am_ard_3-2-1_52JCT_2021-05-24_final
2021-05-29 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-05-29_final
2021-06-09 11:34:00	ga_s2am_ard_3-2-1_51KVQ_2021-06-09_final
2021-06-10 11:05:31	ga_s2am_ard_3-2-1_52JEN_2021-06-10_final
2021-07-17 10:56:03	ga_s2am_ard_3-2-1_52JFL_2021-07-17_final
2021-08-05 11:23:13	ga_s2am_ard_3-2-1_51KYT_2021-08-05_final
2021-08-08 11:33:37	ga_s2am_ard_3-2-1_51KUS_2021-08-08_final
2021-08-18 11:33:26	ga_s2am_ard_3-2-1_51KXS_2021-08-18_final
2021-09-01 11:13:55	ga_s2am_ard_3-2-1_51KZQ_2021-09-01_final
2021-09-07 11:33:31	ga_s2am_ard_3-2-1_51KVS_2021-09-07_final
2021-09-14 11:23:11	ga_s2am_ard_3-2-1_51KYT_2021-09-14_final
2021-11-03 11:23:32	ga_s2am_ard_3-2-1_51KXS_2021-11-03_final
2021-11-05 12:06:13	ga_s2am_ard_3-2-1_50JKM_2021-11-05_final
2021-12-30 11:14:43	ga_s2am_ard_3-2-1_51JYM_2021-12-30_final
2022-01-15 11:33:03	ga_s2am_ard_3-2-1_51KYT_2022-01-15_final
2022-01-15 11:34:40	ga_s2am_ard_3-2-1_51JWM_2022-01-15_final
2022-02-07 11:44:27	ga_s2am_ard_3-2-1_51JUN_2022-02-07_final
2022-03-30 11:16:46	ga_s2am_ard_3-2-1_51HWD_2022-03-30_final
2022-04-29 11:15:35	ga_s2am_ard_3-2-1_51JXJ_2022-04-29_final
2022-05-15 11:33:57	ga_s2am_ard_3-2-1_51KXQ_2022-05-15_final
2022-05-19 11:16:08	ga_s2am_ard_3-2-1_52JCL_2022-05-19_final
2022-06-13 12:06:20	ga_s2am_ard_3-2-1_50JKM_2022-06-13_final
2022-10-02 11:34:47	ga_s2am_ard_3-2-1_51JWM_2022-10-02_final.stac-item
2022-11-02 11:05:56	ga_s2am_ard_3-2-1_52JCM_2022-11-02_final.stac-item
2022-11-21 11:32:29	ga_s2am_ard_3-2-1_51KWA_2022-11-21_final.stac-item
2022-12-04 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2022-12-04_final.stac-item
2023-01-08 10:54:46	ga_s2am_ard_3-2-1_52JFR_2023-01-08_final.stac-item
2023-02-16 11:23:18	ga_s2am_ard_3-2-1_51KZS_2023-02-16_final.stac-item
2023-03-01 11:31:18	ga_s2am_ard_3-2-1_51LZE_2023-03-01_final.stac-item
2023-05-10 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2023-05-10_final.stac-item
2023-06-09 11:34:00	ga_s2am_ard_3-2-1_51KWQ_2023-06-09_final.stac-item
2023-06-20 11:04:18	ga_s2am_ard_3-2-1_52JFT_2023-06-20_final.stac-item
2023-06-23 11:16:38	ga_s2am_ard_3-2-1_52HBJ_2023-06-23_nrt.stac-item
2023-07-16 11:23:11	ga_s2am_ard_3-2-1_51KZT_2023-07-16_final.stac-item
2023-09-13 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2023-09-13_final.stac-item
2023-09-23 11:56:24	ga_s2am_ard_3-2-1_50JML_2023-09-23_final.stac-item
2023-11-19 11:43:12	ga_s2am_ard_3-2-1_51KUT_2023-11-19_final.stac-item
2023-12-12 11:56:09	ga_s2am_ard_3-2-1_50JKM_2023-12-12_final.stac-item
2024-01-12 11:26:09	ga_s2am_ard_3-2-1_51JVF_2024-01-12_final.stac-item
2024-03-19 11:15:14	ga_s2am_ard_3-2-1_51JYK_2024-03-19_final.stac-item
2024-04-24 11:33:33	ga_s2am_ard_3-2-1_51KVS_2024-04-24_final.stac-item
2024-05-04 11:33:46	ga_s2am_ard_3-2-1_51KWR_2024-05-04_final.stac-item
2024-05-10 11:56:10	ga_s2am_ard_3-2-1_50JMM_2024-05-10_final.stac-item
2024-05-11 11:23:46	ga_s2am_ard_3-2-1_51KXR_2024-05-11_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