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_51JWL_2015-11-25_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JYH_2015-11-25_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_51KVT_2016-01-20_final.stac-item
2016-03-11 11:12:21	ga_s2am_ard_3-2-1_51HXD_2016-03-11_final.stac-item
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51JUF_2016-03-24_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_51JUN_2016-07-08_final.stac-item
2016-07-17 12:13:25	ga_s2am_ard_3-2-1_49KHP_2016-07-17_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_51HUC_2016-08-24_final.stac-item
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_51HYD_2016-12-13_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51JYH_2017-01-18_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51KXT_2017-01-18_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50KKV_2017-02-09_final
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_51JTH_2017-04-14_final.stac-item
2017-07-30 11:28:34	ga_s2am_ard_3-2-1_51KWT_2017-07-30_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50HNK_2017-09-01_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51JWJ_2017-11-07_final
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51HVE_2017-11-14_final
2017-11-21 11:11:58	ga_s2am_ard_3-2-1_51HYD_2017-11-21_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51JWJ_2017-12-04_final
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KWB_2018-01-26_final
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51HWE_2018-03-04_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50HLK_2018-04-12_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_51HUE_2018-05-06_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JML_2018-06-18_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_51JTL_2018-06-18_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_51JXH_2018-06-19_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_50JMS_2018-07-14_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51KWP_2018-09-03_final
2018-09-06 11:40:28	ga_s2am_ard_3-2-1_51LWC_2018-09-06_final
2018-11-26 11:14:01	ga_s2am_ard_3-2-1_51KZP_2018-11-26_final
2018-12-12 11:36:56	ga_s2am_ard_3-2-1_51HTC_2018-12-12_final
2019-01-11 11:33:29	ga_s2am_ard_3-2-1_51KUS_2019-01-11_final
2019-03-15 11:45:10	ga_s2am_ard_3-2-1_51JTK_2019-03-15_final
2019-03-15 11:45:40	ga_s2am_ard_3-2-1_51JTH_2019-03-15_final
2019-03-21 12:03:21	ga_s2am_ard_3-2-1_50KMC_2019-03-21_final
2019-04-18 11:23:38	ga_s2am_ard_3-2-1_51KZR_2019-04-18_final
2019-09-14 11:53:20	ga_s2am_ard_3-2-1_50KPC_2019-09-14_final
2019-09-21 11:46:43	ga_s2am_ard_3-2-1_50HQJ_2019-09-21_final
2019-10-14 11:56:21	ga_s2am_ard_3-2-1_50JNL_2019-10-14_final
2019-11-09 12:15:02	ga_s2am_ard_3-2-1_49JFM_2019-11-09_final
2019-12-24 11:25:22	ga_s2am_ard_3-2-1_51JWJ_2019-12-24_final
2019-12-30 11:43:19	ga_s2am_ard_3-2-1_51KVS_2019-12-30_final
2020-01-02 11:53:33	ga_s2am_ard_3-2-1_50KNB_2020-01-02_final
2020-01-19 11:42:36	ga_s2am_ard_3-2-1_51KVV_2020-01-19_final
2020-03-13 11:24:37	ga_s2am_ard_3-2-1_51JXM_2020-03-13_final
2020-04-14 12:06:09	ga_s2am_ard_3-2-1_50JKM_2020-04-14_final
2020-05-24 12:05:43	ga_s2am_ard_3-2-1_50JLP_2020-05-24_final
2020-07-23 12:06:15	ga_s2am_ard_3-2-1_50JKM_2020-07-23_final
2020-08-03 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2020-08-03_final
2020-09-04 12:14:03	ga_s2am_ard_3-2-1_49KGR_2020-09-04_final
2020-09-16 11:15:43	ga_s2am_ard_3-2-1_51JYH_2020-09-16_final
2020-10-15 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2020-10-15_final
2020-11-24 11:43:53	ga_s2am_ard_3-2-1_50KQA_2020-11-24_final
2020-12-10 12:03:48	ga_s2am_ard_3-2-1_50KMA_2020-12-10_final
2020-12-11 11:34:02	ga_s2am_ard_3-2-1_51KXP_2020-12-11_final
2020-12-11 11:35:52	ga_s2am_ard_3-2-1_51JVG_2020-12-11_final
2020-12-11 11:36:10	ga_s2am_ard_3-2-1_51JUF_2020-12-11_final
2020-12-14 11:47:07	ga_s2am_ard_3-2-1_50HMH_2020-12-14_final
2021-01-26 11:55:47	ga_s2am_ard_3-2-1_50JKP_2021-01-26_final
2021-02-02 11:46:19	ga_s2am_ard_3-2-1_50JPL_2021-02-02_final
2021-05-03 11:45:16	ga_s2am_ard_3-2-1_50JQQ_2021-05-03_final
2021-05-22 12:15:00	ga_s2am_ard_3-2-1_49JFM_2021-05-22_final
2021-06-16 11:23:39	ga_s2am_ard_3-2-1_51KYR_2021-06-16_final
2021-06-28 12:06:11	ga_s2am_ard_3-2-1_50JKM_2021-06-28_final
2021-06-29 11:37:03	ga_s2am_ard_3-2-1_51HTC_2021-06-29_final
2021-07-06 11:23:16	ga_s2am_ard_3-2-1_51KXT_2021-07-06_final
2021-07-12 11:46:11	ga_s2am_ard_3-2-1_50JNM_2021-07-12_final
2021-07-21 12:14:30	ga_s2am_ard_3-2-1_49KGP_2021-07-21_final
2021-11-16 11:35:27	ga_s2am_ard_3-2-1_51JVJ_2021-11-16_final
2021-11-20 11:16:31	ga_s2am_ard_3-2-1_51HWE_2021-11-20_final
2021-12-16 11:34:00	ga_s2am_ard_3-2-1_51KVQ_2021-12-16_final
2022-02-17 11:43:19	ga_s2am_ard_3-2-1_51KTT_2022-02-17_final
2022-02-24 11:32:53	ga_s2am_ard_3-2-1_51KYU_2022-02-24_final
2022-03-29 11:44:19	ga_s2am_ard_3-2-1_50KRU_2022-03-29_final
2022-04-05 11:34:12	ga_s2am_ard_3-2-1_51KWP_2022-04-05_final
2022-04-08 11:42:10	ga_s2am_ard_3-2-1_51KWB_2022-04-08_final
2022-06-17 11:45:22	ga_s2am_ard_3-2-1_50JNR_2022-06-17_final
2022-07-21 11:25:50	ga_s2am_ard_3-2-1_51JXH_2022-07-21_final
2022-10-02 11:37:14	ga_s2am_ard_3-2-1_50HPH_2022-10-02_final.stac-item
2022-10-05 13:21:52	ga_s2am_ard_3-2-1_46LHM_2022-10-05_interim.stac-item
2022-11-11 11:33:48	ga_s2am_ard_3-2-1_51KVR_2022-11-11_final.stac-item
2022-11-20 12:06:11	ga_s2am_ard_3-2-1_50JKM_2022-11-20_final.stac-item
2022-12-08 11:25:34	ga_s2am_ard_3-2-1_51JYH_2022-12-08_final.stac-item
2022-12-21 11:34:52	ga_s2am_ard_3-2-1_51JWL_2022-12-21_final.stac-item
2023-01-06 11:57:13	ga_s2am_ard_3-2-1_49HGC_2023-01-06_nrt.stac-item
2023-01-27 11:24:02	ga_s2am_ard_3-2-1_51KZP_2023-01-27_final.stac-item
2023-03-27 11:53:48	ga_s2am_ard_3-2-1_50KNA_2023-03-27_final.stac-item
2023-03-30 12:05:49	ga_s2am_ard_3-2-1_50JLN_2023-03-30_final.stac-item
2023-04-03 11:45:13	ga_s2am_ard_3-2-1_51JTK_2023-04-03_final.stac-item
2023-05-07 11:23:50	ga_s2am_ard_3-2-1_51KZQ_2023-05-07_final.stac-item
2023-06-19 11:35:23	ga_s2am_ard_3-2-1_51JTK_2023-06-19_final.stac-item
2023-08-11 11:45:48	ga_s2am_ard_3-2-1_51JTH_2023-08-11_final.stac-item
2023-08-12 11:15:47	ga_s2am_ard_3-2-1_51JXH_2023-08-12_final.stac-item
2023-09-06 12:04:04	ga_s2am_ard_3-2-1_49KHR_2023-09-06_final.stac-item
2023-09-06 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2023-09-06_final.stac-item
2023-09-14 11:23:04	ga_s2am_ard_3-2-1_51KXU_2023-09-14_final.stac-item
2023-11-26 11:33:36	ga_s2am_ard_3-2-1_51KWR_2023-11-26_final.stac-item
2024-03-05 11:33:28	ga_s2am_ard_3-2-1_51KWS_2024-03-05_final.stac-item
2024-03-15 11:35:12	ga_s2am_ard_3-2-1_51JVK_2024-03-15_final.stac-item
2024-03-25 11:33:17	ga_s2am_ard_3-2-1_51KVT_2024-03-25_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