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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JVJ_2015-11-25_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_51KUT_2015-12-21_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50HNJ_2016-01-20_final.stac-item
2016-04-26 11:36:07	ga_s2am_ard_3-2-1_50JQL_2016-04-26_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50JKT_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KKV_2016-06-04_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JUJ_2016-06-05_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50KMC_2016-06-24_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HQK_2016-07-28_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JKQ_2016-12-11_final
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_50KPV_2017-02-13_final
2017-03-18 11:51:11	ga_s2am_ard_3-2-1_50JML_2017-03-18_final
2017-04-21 11:28:37	ga_s2am_ard_3-2-1_51JWL_2017-04-21_final.stac-item
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50HLJ_2017-08-05_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_50KLV_2017-09-07_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51KVB_2017-09-08_final
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51HUD_2017-09-15_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50JKR_2017-10-17_final
2017-10-31 11:37:51	ga_s2am_ard_3-2-1_51KWB_2017-10-31_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KWT_2017-11-07_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_51KVB_2017-11-20_final
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51JVL_2017-12-24_final
2018-03-31 11:07:12	ga_s2am_ard_3-2-1_51HXD_2018-03-31_final
2018-04-12 11:47:43	ga_s2am_ard_3-2-1_50KRC_2018-04-12_final
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_51KWP_2018-04-23_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_51KUT_2018-04-26_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51JTM_2018-08-04_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51JVF_2018-08-04_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51HVD_2018-09-30_final
2018-10-07 11:13:21	ga_s2am_ard_3-2-1_51HYD_2018-10-07_final
2018-12-15 11:46:43	ga_s2am_ard_3-2-1_50HNJ_2018-12-15_final
2019-02-07 11:25:17	ga_s2am_ard_3-2-1_51JYJ_2019-02-07_final
2019-04-01 11:36:58	ga_s2am_ard_3-2-1_51HUC_2019-04-01_final
2019-05-28 11:26:50	ga_s2am_ard_3-2-1_51HUD_2019-05-28_final
2019-06-23 11:45:36	ga_s2am_ard_3-2-1_50JQP_2019-06-23_final
2019-06-23 11:46:04	ga_s2am_ard_3-2-1_50JPM_2019-06-23_final
2019-06-23 11:46:41	ga_s2am_ard_3-2-1_50HNK_2019-06-23_final
2019-07-10 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2019-07-10_final
2019-08-06 11:25:38	ga_s2am_ard_3-2-1_51JYH_2019-08-06_final
2019-09-21 11:47:02	ga_s2am_ard_3-2-1_50HPH_2019-09-21_final
2019-10-01 11:47:11	ga_s2am_ard_3-2-1_50HMH_2019-10-01_final
2019-10-07 12:05:32	ga_s2am_ard_3-2-1_49JGK_2019-10-07_final
2020-02-19 11:14:50	ga_s2am_ard_3-2-1_51JYL_2020-02-19_final
2020-03-05 12:06:05	ga_s2am_ard_3-2-1_50JKM_2020-03-05_final
2020-04-29 11:16:39	ga_s2am_ard_3-2-1_51HYD_2020-04-29_final
2020-07-17 11:46:05	ga_s2am_ard_3-2-1_50JPM_2020-07-17_final
2020-07-27 11:43:30	ga_s2am_ard_3-2-1_51KVS_2020-07-27_final
2020-08-09 11:57:12	ga_s2am_ard_3-2-1_50HMH_2020-08-09_final
2020-08-16 11:45:05	ga_s2am_ard_3-2-1_51JTL_2020-08-16_final
2020-09-16 11:16:45	ga_s2am_ard_3-2-1_51HXD_2020-09-16_final
2021-02-03 11:16:44	ga_s2am_ard_3-2-1_51HWD_2021-02-03_final
2021-02-12 11:44:15	ga_s2am_ard_3-2-1_50KRU_2021-02-12_final
2021-02-12 11:44:36	ga_s2am_ard_3-2-1_50JPT_2021-02-12_final
2021-02-16 11:26:17	ga_s2am_ard_3-2-1_51JUF_2021-02-16_final
2021-03-03 12:14:18	ga_s2am_ard_3-2-1_50KKU_2021-03-03_final
2021-03-04 11:46:53	ga_s2am_ard_3-2-1_50HQH_2021-03-04_final
2021-04-10 11:34:31	ga_s2am_ard_3-2-1_51JTN_2021-04-10_final
2021-04-10 11:34:59	ga_s2am_ard_3-2-1_51JTL_2021-04-10_final
2021-05-13 11:47:02	ga_s2am_ard_3-2-1_50HPH_2021-05-13_final
2021-05-22 12:15:20	ga_s2am_ard_3-2-1_49JGK_2021-05-22_final
2021-05-24 11:15:43	ga_s2am_ard_3-2-1_51JXH_2021-05-24_final
2021-06-02 11:43:44	ga_s2am_ard_3-2-1_51KUR_2021-06-02_final
2021-06-08 12:03:42	ga_s2am_ard_3-2-1_50KLB_2021-06-08_final
2021-06-22 11:46:06	ga_s2am_ard_3-2-1_50JPM_2021-06-22_final
2021-07-19 11:35:22	ga_s2am_ard_3-2-1_51JTK_2021-07-19_final
2021-08-17 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2021-08-17_final
2021-10-20 11:46:02	ga_s2am_ard_3-2-1_51JTG_2021-10-20_final
2021-11-06 11:36:50	ga_s2am_ard_3-2-1_51HTD_2021-11-06_final
2022-02-01 11:24:37	ga_s2am_ard_3-2-1_51JYM_2022-02-01_final
2022-03-29 11:44:33	ga_s2am_ard_3-2-1_50JRT_2022-03-29_final
2022-04-01 11:54:57	ga_s2am_ard_3-2-1_50JMS_2022-04-01_final
2022-04-01 11:57:08	ga_s2am_ard_3-2-1_50HMH_2022-04-01_final
2022-04-02 11:25:50	ga_s2am_ard_3-2-1_51JVH_2022-04-02_final
2022-05-11 11:56:00	ga_s2am_ard_3-2-1_50JLN_2022-05-11_final
2022-07-10 11:55:37	ga_s2am_ard_3-2-1_50JMQ_2022-07-10_final
2022-07-18 11:16:49	ga_s2am_ard_3-2-1_51HYD_2022-07-18_final
2022-08-23 11:37:01	ga_s2am_ard_3-2-1_50HQJ_2022-08-23_final
2022-09-29 11:25:02	ga_s2am_ard_3-2-1_51JXL_2022-09-29_final.stac-item
2022-11-11 11:36:03	ga_s2am_ard_3-2-1_51JUG_2022-11-11_final.stac-item
2022-12-08 11:26:18	ga_s2am_ard_3-2-1_51JUF_2022-12-08_final.stac-item
2022-12-14 13:21:44	ga_s2am_ard_3-2-1_47LKG_2022-12-14_interim.stac-item
2023-01-17 11:25:42	ga_s2am_ard_3-2-1_51JVH_2023-01-17_final.stac-item
2023-03-24 11:42:44	ga_s2am_ard_3-2-1_51KUV_2023-03-24_final.stac-item
2023-03-24 11:47:05	ga_s2am_ard_3-2-1_50HNH_2023-03-24_final.stac-item
2023-04-06 11:56:18	ga_s2am_ard_3-2-1_50JNL_2023-04-06_final.stac-item
2023-05-13 11:43:14	ga_s2am_ard_3-2-1_51KUT_2023-05-13_final.stac-item
2023-05-29 12:05:33	ga_s2am_ard_3-2-1_49JGK_2023-05-29_final.stac-item
2023-06-18 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2023-06-18_final.stac-item
2023-06-19 11:35:05	ga_s2am_ard_3-2-1_51JUL_2023-06-19_final.stac-item
2023-06-25 11:57:15	ga_s2am_ard_3-2-1_50HKH_2023-06-25_nrt.stac-item
2023-06-26 11:26:50	ga_s2am_ard_3-2-1_51HUD_2023-06-26_final.stac-item
2023-09-30 11:46:54	ga_s2am_ard_3-2-1_50HNJ_2023-09-30_final.stac-item
2023-10-03 11:56:09	ga_s2am_ard_3-2-1_50JMM_2023-10-03_final.stac-item
2023-11-16 11:35:29	ga_s2am_ard_3-2-1_51JUJ_2023-11-16_final.stac-item
2023-12-10 11:16:35	ga_s2am_ard_3-2-1_51HXD_2023-12-10_final.stac-item
2023-12-20 11:15:06	ga_s2am_ard_3-2-1_51JYK_2023-12-20_final.stac-item
2024-03-05 11:36:32	ga_s2am_ard_3-2-1_51HTE_2024-03-05_final.stac-item
2024-03-08 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2024-03-08_final.stac-item
2024-04-10 11:56:14	ga_s2am_ard_3-2-1_50JKM_2024-04-10_final.stac-item
2024-04-28 11:16:39	ga_s2am_ard_3-2-1_51HYD_2024-04-28_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

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