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
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51JTK_2016-04-06_final.stac-item
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_49JGM_2016-05-05_final.stac-item
2016-07-17 12:13:25	ga_s2am_ard_3-2-1_49KHP_2016-07-17_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HMJ_2016-07-28_final.stac-item
2016-09-03 11:36:03	ga_s2am_ard_3-2-1_51HUE_2016-09-03_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51HUE_2016-12-12_final
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KYV_2016-12-22_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51JYM_2017-01-18_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49KGP_2017-01-30_final
2017-02-01 10:57:59	ga_s2am_ard_3-2-1_52HBK_2017-02-01_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51KVA_2017-09-08_final
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50JKM_2017-10-04_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51HXE_2017-12-11_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KXT_2017-12-17_final
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KYU_2018-01-26_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51JTN_2018-02-18_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51KUR_2018-02-18_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51HXD_2018-02-22_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_51KYT_2018-05-16_final
2018-06-11 11:48:18	ga_s2am_ard_3-2-1_50KQA_2018-06-11_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JGJ_2018-06-14_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HPK_2018-06-18_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JPQ_2018-06-18_final
2018-06-19 11:15:33	ga_s2am_ard_3-2-1_51HYD_2018-06-19_final
2018-07-22 11:25:32	ga_s2am_ard_3-2-1_51JXF_2018-07-22_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_50JKN_2018-07-24_final
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_50JPM_2018-08-07_final
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HNH_2018-08-17_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JLL_2018-09-29_final
2018-12-06 11:16:12	ga_s2am_ard_3-2-1_52HBK_2018-12-06_final
2018-12-06 11:16:32	ga_s2am_ard_3-2-1_51HXD_2018-12-06_final
2019-01-14 11:46:39	ga_s2am_ard_3-2-1_50HQJ_2019-01-14_final
2019-01-17 11:55:42	ga_s2am_ard_3-2-1_50JKP_2019-01-17_final
2019-03-08 11:55:15	ga_s2am_ard_3-2-1_50JNQ_2019-03-08_final
2019-05-18 11:27:02	ga_s2am_ard_3-2-1_51HVC_2019-05-18_final
2019-06-10 11:36:40	ga_s2am_ard_3-2-1_50HPK_2019-06-10_final
2019-06-26 11:55:28	ga_s2am_ard_3-2-1_50JMQ_2019-06-26_final
2019-06-27 11:22:28	ga_s2am_ard_3-2-1_51KZA_2019-06-27_final
2019-07-10 11:33:43	ga_s2am_ard_3-2-1_51KXR_2019-07-10_final
2019-10-12 11:15:32	ga_s2am_ard_3-2-1_51JXJ_2019-10-12_final
2019-10-15 11:27:05	ga_s2am_ard_3-2-1_51HUC_2019-10-15_final
2019-11-20 11:44:32	ga_s2am_ard_3-2-1_50JRT_2019-11-20_final
2020-01-03 11:24:09	ga_s2am_ard_3-2-1_51KWP_2020-01-03_final
2020-01-03 11:26:09	ga_s2am_ard_3-2-1_51JVF_2020-01-03_final
2020-02-22 11:25:33	ga_s2am_ard_3-2-1_51JXH_2020-02-22_final
2020-03-16 11:36:45	ga_s2am_ard_3-2-1_50HQJ_2020-03-16_final
2020-04-21 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2020-04-21_final
2020-04-28 11:43:35	ga_s2am_ard_3-2-1_51KTS_2020-04-28_final
2020-05-25 11:34:02	ga_s2am_ard_3-2-1_51KWQ_2020-05-25_final
2020-07-04 11:34:15	ga_s2am_ard_3-2-1_51KWP_2020-07-04_final
2020-08-07 11:14:43	ga_s2am_ard_3-2-1_51JZM_2020-08-07_final
2020-08-10 11:24:50	ga_s2am_ard_3-2-1_51JWM_2020-08-10_final
2020-08-29 11:56:35	ga_s2am_ard_3-2-1_50HNK_2020-08-29_final
2020-09-22 11:31:53	ga_s2am_ard_3-2-1_51LZC_2020-09-22_final
2020-12-11 11:33:30	ga_s2am_ard_3-2-1_51KUS_2020-12-11_final
2020-12-17 11:53:15	ga_s2am_ard_3-2-1_50KQC_2020-12-17_final
2021-04-07 11:26:54	ga_s2am_ard_3-2-1_51HVC_2021-04-07_final
2021-04-09 12:04:38	ga_s2am_ard_3-2-1_50JKT_2021-04-09_final
2021-04-09 12:04:56	ga_s2am_ard_3-2-1_49JGM_2021-04-09_final
2021-05-29 12:05:56	ga_s2am_ard_3-2-1_50JKN_2021-05-29_final
2021-06-28 12:03:46	ga_s2am_ard_3-2-1_50KNA_2021-06-28_final
2021-07-09 11:36:37	ga_s2am_ard_3-2-1_50HQK_2021-07-09_final
2021-08-12 11:16:39	ga_s2am_ard_3-2-1_51HYD_2021-08-12_final
2021-09-17 11:33:40	ga_s2am_ard_3-2-1_51KWR_2021-09-17_final
2021-09-27 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2021-09-27_final
2021-11-19 11:46:37	ga_s2am_ard_3-2-1_50HNK_2021-11-19_final
2022-01-19 11:16:06	ga_s2am_ard_3-2-1_52JBL_2022-01-19_final
2022-03-29 11:46:36	ga_s2am_ard_3-2-1_50HPK_2022-03-29_final
2022-04-15 11:32:32	ga_s2am_ard_3-2-1_51KWA_2022-04-15_final
2022-06-01 11:23:33	ga_s2am_ard_3-2-1_51KYS_2022-06-01_final
2022-06-01 11:25:50	ga_s2am_ard_3-2-1_51JWH_2022-06-01_final
2022-06-11 11:22:33	ga_s2am_ard_3-2-1_51KZA_2022-06-11_final
2022-06-11 11:23:02	ga_s2am_ard_3-2-1_51KZU_2022-06-11_final
2022-07-10 11:55:11	ga_s2am_ard_3-2-1_50JLS_2022-07-10_final
2022-08-17 11:16:10	ga_s2am_ard_3-2-1_51JXG_2022-08-17_final
2022-09-05 11:42:07	ga_s2am_ard_3-2-1_51LWC_2022-09-05_final.stac-item
2022-09-05 11:45:58	ga_s2am_ard_3-2-1_50JQN_2022-09-05_final.stac-item
2022-09-06 12:51:10	ga_s2am_ard_3-2-1_48LXP_2022-09-06_interim.stac-item
2022-09-15 11:46:00	ga_s2am_ard_3-2-1_50JPN_2022-09-15_final.stac-item
2022-10-12 11:34:30	ga_s2am_ard_3-2-1_51JWN_2022-10-12_final.stac-item
2022-10-25 11:47:09	ga_s2am_ard_3-2-1_50HNH_2022-10-25_final.stac-item
2022-11-11 11:37:06	ga_s2am_ard_3-2-1_50HQH_2022-11-11_final.stac-item
2023-01-07 11:22:22	ga_s2am_ard_3-2-1_51KZA_2023-01-07_final.stac-item
2023-01-19 12:03:28	ga_s2am_ard_3-2-1_50KNB_2023-01-19_final.stac-item
2023-01-23 13:21:40	ga_s2am_ard_3-2-1_47LKG_2023-01-23_interim.stac-item
2023-04-24 11:13:54	ga_s2am_ard_3-2-1_51KZQ_2023-04-24_final.stac-item
2023-05-09 12:06:09	ga_s2am_ard_3-2-1_50JKM_2023-05-09_final.stac-item
2023-05-14 11:16:36	ga_s2am_ard_3-2-1_52HBJ_2023-05-14_nrt.stac-item
2023-05-29 12:05:59	ga_s2am_ard_3-2-1_50JKN_2023-05-29_final.stac-item
2023-06-26 11:24:22	ga_s2am_ard_3-2-1_51JZN_2023-06-26_final.stac-item
2023-07-05 11:56:19	ga_s2am_ard_3-2-1_50JKM_2023-07-05_final.stac-item
2023-07-26 11:25:21	ga_s2am_ard_3-2-1_51JVK_2023-07-26_final.stac-item
2023-07-31 12:15:24	ga_s2am_ard_3-2-1_49JGK_2023-07-31_final.stac-item
2023-09-30 11:47:04	ga_s2am_ard_3-2-1_50HPH_2023-09-30_final.stac-item
2023-11-10 11:16:22	ga_s2am_ard_3-2-1_51HYE_2023-11-10_final.stac-item
2024-01-08 11:43:12	ga_s2am_ard_3-2-1_51KVT_2024-01-08_final.stac-item
2024-01-12 11:26:24	ga_s2am_ard_3-2-1_51HVE_2024-01-12_final.stac-item
2024-03-05 11:34:25	ga_s2am_ard_3-2-1_51JWN_2024-03-05_final.stac-item
2024-03-25 11:33:57	ga_s2am_ard_3-2-1_51KWQ_2024-03-25_final.stac-item
2024-04-24 11:37:05	ga_s2am_ard_3-2-1_50HQH_2024-04-24_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