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
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_52JCM_2016-07-09_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_52JCN_2016-07-09_final.stac-item
2016-07-17 12:13:25	ga_s2am_ard_3-2-1_49JGM_2016-07-17_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JMT_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JNN_2016-07-21_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51KYB_2016-11-22_final.stac-item
2017-01-05 11:12:08	ga_s2am_ard_3-2-1_51KZS_2017-01-05_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51LZE_2017-01-18_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_50HQK_2017-02-10_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51JWJ_2017-03-19_final
2017-07-04 11:12:00	ga_s2am_ard_3-2-1_51HYD_2017-07-04_final
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51HUC_2017-09-15_final
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51HUE_2017-09-15_final
2017-09-22 11:11:57	ga_s2am_ard_3-2-1_51HWE_2017-09-22_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JXM_2017-10-05_final
2017-11-01 11:12:01	ga_s2am_ard_3-2-1_51HYD_2017-11-01_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51HXD_2017-12-04_final
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51JWJ_2017-12-24_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51LZE_2018-01-13_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JPQ_2018-02-01_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_51JYK_2018-02-19_final
2018-03-27 11:26:19	ga_s2am_ard_3-2-1_51KWT_2018-03-27_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51HTD_2018-06-05_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_50JKM_2018-07-14_final
2018-08-21 11:21:36	ga_s2am_ard_3-2-1_51HVE_2018-08-21_final
2018-09-17 11:13:02	ga_s2am_ard_3-2-1_51HYD_2018-09-17_final
2018-10-10 11:16:56	ga_s2am_ard_3-2-1_51KXU_2018-10-10_final
2018-12-09 11:24:43	ga_s2am_ard_3-2-1_51JYL_2018-12-09_final
2019-02-09 12:05:26	ga_s2am_ard_3-2-1_49JGK_2019-02-09_final
2019-03-11 12:05:39	ga_s2am_ard_3-2-1_49JGJ_2019-03-11_final
2019-03-22 11:31:34	ga_s2am_ard_3-2-1_51LXD_2019-03-22_final
2019-03-25 11:43:32	ga_s2am_ard_3-2-1_50KRB_2019-03-25_final
2019-06-10 11:37:20	ga_s2am_ard_3-2-1_50HQG_2019-06-10_final.stac-item
2019-06-23 11:45:29	ga_s2am_ard_3-2-1_50JNQ_2019-06-23_final
2019-06-23 11:46:23	ga_s2am_ard_3-2-1_50JPL_2019-06-23_final
2019-06-27 11:25:47	ga_s2am_ard_3-2-1_51JWH_2019-06-27_final
2019-07-14 11:15:53	ga_s2am_ard_3-2-1_52JCM_2019-07-14_final
2019-08-26 11:25:00	ga_s2am_ard_3-2-1_51JWL_2019-08-26_final
2019-10-12 11:15:49	ga_s2am_ard_3-2-1_52JBM_2019-10-12_final
2019-12-20 11:44:10	ga_s2am_ard_3-2-1_51KTP_2019-12-20_final
2020-02-11 11:55:17	ga_s2am_ard_3-2-1_50JMQ_2020-02-11_final
2020-03-13 11:24:37	ga_s2am_ard_3-2-1_51JXM_2020-03-13_final
2020-03-14 10:55:52	ga_s2am_ard_3-2-1_52JGL_2020-03-14_final
2020-03-20 11:16:33	ga_s2am_ard_3-2-1_51HYD_2020-03-20_final
2020-03-30 11:16:36	ga_s2am_ard_3-2-1_51HXD_2020-03-30_final
2020-06-16 12:15:26	ga_s2am_ard_3-2-1_49JGK_2020-06-16_final
2020-07-25 11:05:50	ga_s2am_ard_3-2-1_52JEM_2020-07-25_final
2020-08-16 11:46:29	ga_s2am_ard_3-2-1_50JNL_2020-08-16_final
2020-09-08 11:54:55	ga_s2am_ard_3-2-1_50JNS_2020-09-08_final
2020-11-21 11:32:53	ga_s2am_ard_3-2-1_51KYU_2020-11-21_final
2020-11-27 11:54:45	ga_s2am_ard_3-2-1_50JLT_2020-11-27_final
2020-12-11 11:33:49	ga_s2am_ard_3-2-1_51KXQ_2020-12-11_final
2020-12-21 11:32:45	ga_s2am_ard_3-2-1_51KVV_2020-12-21_final
2021-01-27 11:21:55	ga_s2am_ard_3-2-1_51LZC_2021-01-27_final
2021-01-28 10:55:42	ga_s2am_ard_3-2-1_52JGM_2021-01-28_final
2021-01-30 11:33:16	ga_s2am_ard_3-2-1_51KVT_2021-01-30_final
2021-01-31 11:04:33	ga_s2am_ard_3-2-1_52JES_2021-01-31_final
2021-02-12 11:42:59	ga_s2am_ard_3-2-1_51KUU_2021-02-12_final
2021-06-02 11:44:35	ga_s2am_ard_3-2-1_50JQT_2021-06-02_final
2021-06-09 11:36:20	ga_s2am_ard_3-2-1_50JQL_2021-06-09_final
2021-06-23 11:15:26	ga_s2am_ard_3-2-1_51JYJ_2021-06-23_final
2021-07-12 11:46:44	ga_s2am_ard_3-2-1_50HMK_2021-07-12_final
2021-07-31 12:15:03	ga_s2am_ard_3-2-1_49JFM_2021-07-31_final
2022-01-16 11:05:45	ga_s2am_ard_3-2-1_52JEM_2022-01-16_final
2022-02-24 11:36:34	ga_s2am_ard_3-2-1_51HTE_2022-02-24_final
2022-03-29 11:47:09	ga_s2am_ard_3-2-1_50HNH_2022-03-29_final
2022-03-30 11:16:43	ga_s2am_ard_3-2-1_51HXD_2022-03-30_final
2022-04-01 11:55:49	ga_s2am_ard_3-2-1_50JMP_2022-04-01_final
2022-04-15 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2022-04-15_final
2022-05-14 12:05:45	ga_s2am_ard_3-2-1_50JKP_2022-05-14_final
2022-05-31 11:53:58	ga_s2am_ard_3-2-1_50KPA_2022-05-31_final
2022-06-01 11:23:33	ga_s2am_ard_3-2-1_51KYS_2022-06-01_final
2022-06-05 11:06:14	ga_s2am_ard_3-2-1_52JCL_2022-06-05_final
2022-06-11 11:22:47	ga_s2am_ard_3-2-1_51KZV_2022-06-11_final
2022-06-11 11:23:20	ga_s2am_ard_3-2-1_51KYT_2022-06-11_final
2022-06-24 11:31:51	ga_s2am_ard_3-2-1_51LYD_2022-06-24_final
2022-06-24 11:36:26	ga_s2am_ard_3-2-1_51JUF_2022-06-24_final
2022-06-29 10:46:13	ga_s2am_ard_3-2-1_52JGL_2022-06-29_final
2022-07-30 11:56:24	ga_s2am_ard_3-2-1_50JKM_2022-07-30_final
2022-09-08 11:55:27	ga_s2am_ard_3-2-1_50JPQ_2022-09-08_final.stac-item
2022-09-16 11:16:29	ga_s2am_ard_3-2-1_52HBK_2022-09-16_final.stac-item
2022-10-22 11:36:50	ga_s2am_ard_3-2-1_50HQJ_2022-10-22_final.stac-item
2022-11-18 11:26:19	ga_s2am_ard_3-2-1_51JUF_2022-11-18_final.stac-item
2022-11-21 11:33:17	ga_s2am_ard_3-2-1_51KVT_2022-11-21_final.stac-item
2023-03-07 11:57:10	ga_s2am_ard_3-2-1_49HGC_2023-03-07_nrt.stac-item
2023-03-19 10:55:29	ga_s2am_ard_3-2-1_52JFN_2023-03-19_final.stac-item
2023-03-30 12:05:21	ga_s2am_ard_3-2-1_50JLQ_2023-03-30_final.stac-item
2023-04-10 11:33:13	ga_s2am_ard_3-2-1_51KWT_2023-04-10_final.stac-item
2023-05-23 11:46:26	ga_s2am_ard_3-2-1_50JNL_2023-05-23_final.stac-item
2023-06-26 11:23:39	ga_s2am_ard_3-2-1_51KZR_2023-06-26_final.stac-item
2023-11-13 11:21:10	ga_s2am_ard_3-2-1_51LZF_2023-11-13_nrt.stac-item
2023-11-15 12:05:54	ga_s2am_ard_3-2-1_50JKN_2023-11-15_final.stac-item
2023-12-23 11:25:06	ga_s2am_ard_3-2-1_51JXK_2023-12-23_final.stac-item
2024-01-24 12:03:27	ga_s2am_ard_3-2-1_50KNB_2024-01-24_final.stac-item
2024-02-04 11:36:57	ga_s2am_ard_3-2-1_51HTC_2024-02-04_final.stac-item
2024-03-05 11:32:47	ga_s2am_ard_3-2-1_51KVV_2024-03-05_final.stac-item
2024-03-05 11:34:00	ga_s2am_ard_3-2-1_51KVQ_2024-03-05_final.stac-item
2024-03-22 11:23:08	ga_s2am_ard_3-2-1_51KZT_2024-03-22_final.stac-item
2024-04-03 12:05:27	ga_s2am_ard_3-2-1_49JGK_2024-04-03_final.stac-item
2024-04-14 11:33:44	ga_s2am_ard_3-2-1_51KWR_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