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
2015-11-29 10:57:18	ga_s2am_ard_3-2-1_52KEA_2015-11-29_final.stac-item
2016-01-11 11:17:17	ga_s2am_ard_3-2-1_51HWD_2016-01-11_final.stac-item
2016-04-13 11:26:08	ga_s2am_ard_3-2-1_51JWF_2016-04-13_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HNJ_2016-04-29_final.stac-item
2016-05-02 11:56:30	ga_s2am_ard_3-2-1_50HLK_2016-05-02_final.stac-item
2016-05-11 10:45:26	ga_s2am_ard_3-2-1_52JGL_2016-05-11_final.stac-item
2016-06-29 11:12:16	ga_s2am_ard_3-2-1_52KCV_2016-06-29_final.stac-item
2016-08-18 11:10:59	ga_s2am_ard_3-2-1_52KDV_2016-08-18_final.stac-item
2016-09-27 11:11:31	ga_s2am_ard_3-2-1_52KCB_2016-09-27_final.stac-item
2017-01-05 11:12:08	ga_s2am_ard_3-2-1_52KBA_2017-01-05_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50JLM_2017-01-07_final
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51HUE_2017-01-08_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51KXS_2017-02-10_final
2017-05-04 11:38:37	ga_s2am_ard_3-2-1_51KUQ_2017-05-04_final
2017-05-18 11:21:00	ga_s2am_ard_3-2-1_51KYR_2017-05-18_final
2017-08-28 12:03:48	ga_s2am_ard_3-2-1_50KKA_2017-08-28_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_52LBJ_2018-01-13_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50KQC_2018-02-01_final
2018-04-03 11:23:03	ga_s2am_ard_3-2-1_51JYH_2018-04-03_final
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_51HUC_2018-04-16_final
2018-04-20 11:10:14	ga_s2am_ard_3-2-1_52KBV_2018-04-20_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_51KVQ_2018-04-26_final
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_52KBB_2018-06-12_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JGN_2018-06-24_final
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49JGM_2018-07-27_final
2018-08-25 10:57:15	ga_s2am_ard_3-2-1_52JBL_2018-08-25_final
2018-09-26 11:34:41	ga_s2am_ard_3-2-1_51KUV_2018-09-26_final
2018-10-16 11:40:28	ga_s2am_ard_3-2-1_51KWB_2018-10-16_final
2019-02-13 11:47:14	ga_s2am_ard_3-2-1_50HPG_2019-02-13_final.stac-item
2019-02-17 11:23:10	ga_s2am_ard_3-2-1_51KXT_2019-02-17_final
2019-04-18 11:23:52	ga_s2am_ard_3-2-1_51KZQ_2019-04-18_final
2019-05-17 11:56:29	ga_s2am_ard_3-2-1_50JLL_2019-05-17_final
2019-05-22 11:03:02	ga_s2am_ard_3-2-1_52KGC_2019-05-22_final
2019-05-31 11:33:41	ga_s2am_ard_3-2-1_51KXR_2019-05-31_final
2019-05-31 11:34:46	ga_s2am_ard_3-2-1_51JVM_2019-05-31_final
2019-06-16 11:56:14	ga_s2am_ard_3-2-1_50JLM_2019-06-16_final
2019-06-19 12:04:46	ga_s2am_ard_3-2-1_50JKT_2019-06-19_final
2019-07-14 11:13:38	ga_s2am_ard_3-2-1_52KDA_2019-07-14_final
2019-08-09 11:33:26	ga_s2am_ard_3-2-1_51KUT_2019-08-09_final
2019-08-13 11:13:48	ga_s2am_ard_3-2-1_52KEV_2019-08-13_final
2019-08-25 11:57:07	ga_s2am_ard_3-2-1_50HMH_2019-08-25_final
2019-12-14 11:22:04	ga_s2am_ard_3-2-1_51KZB_2019-12-14_final
2019-12-19 12:14:35	ga_s2am_ard_3-2-1_49JGN_2019-12-19_final
2019-12-30 11:46:57	ga_s2am_ard_3-2-1_50HPH_2019-12-30_final
2020-01-26 11:33:23	ga_s2am_ard_3-2-1_51KVS_2020-01-26_final
2020-02-02 11:23:20	ga_s2am_ard_3-2-1_51KXS_2020-02-02_final
2020-04-21 11:56:26	ga_s2am_ard_3-2-1_50JLL_2020-04-21_final
2020-04-25 11:37:05	ga_s2am_ard_3-2-1_50HQH_2020-04-25_final
2020-05-09 11:13:34	ga_s2am_ard_3-2-1_52KEA_2020-05-09_final
2020-07-02 10:54:06	ga_s2am_ard_3-2-1_52KGU_2020-07-02_final
2020-07-23 12:03:49	ga_s2am_ard_3-2-1_50KKB_2020-07-23_final
2020-08-30 11:23:15	ga_s2am_ard_3-2-1_51KYT_2020-08-30_final
2020-09-06 11:13:58	ga_s2am_ard_3-2-1_51KZQ_2020-09-06_final
2020-09-16 11:13:59	ga_s2am_ard_3-2-1_52KBV_2020-09-16_final
2020-09-25 11:43:05	ga_s2am_ard_3-2-1_51KUU_2020-09-25_final
2020-10-28 11:56:16	ga_s2am_ard_3-2-1_50JLM_2020-10-28_final
2020-11-24 11:40:59	ga_s2am_ard_3-2-1_51LWG_2020-11-24_final.stac-item
2020-12-01 11:36:46	ga_s2am_ard_3-2-1_51HTD_2020-12-01_final
2021-01-10 11:36:38	ga_s2am_ard_3-2-1_50HPK_2021-01-10_final
2021-01-24 11:12:29	ga_s2am_ard_3-2-1_52KFE_2021-01-24_final
2021-01-26 11:54:52	ga_s2am_ard_3-2-1_50JNS_2021-01-26_final
2021-03-01 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2021-03-01_final
2021-03-22 11:03:15	ga_s2am_ard_3-2-1_52KFB_2021-03-22_final
2021-04-19 12:03:21	ga_s2am_ard_3-2-1_50KLC_2021-04-19_final
2021-06-09 11:37:07	ga_s2am_ard_3-2-1_50HPH_2021-06-09_final
2021-06-11 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-06-11_final
2021-06-19 11:35:08	ga_s2am_ard_3-2-1_51JWK_2021-06-19_final
2021-07-29 11:33:25	ga_s2am_ard_3-2-1_51KUT_2021-07-29_final
2021-08-25 11:25:40	ga_s2am_ard_3-2-1_51JXH_2021-08-25_final
2021-08-28 11:32:02	ga_s2am_ard_3-2-1_51LWC_2021-08-28_final
2021-10-01 11:15:52	ga_s2am_ard_3-2-1_52JCM_2021-10-01_final
2021-10-18 11:03:59	ga_s2am_ard_3-2-1_52KDV_2021-10-18_final
2021-11-29 11:42:45	ga_s2am_ard_3-2-1_51KUV_2021-11-29_final
2022-03-13 11:26:09	ga_s2am_ard_3-2-1_51JUG_2022-03-13_final
2022-03-26 11:33:33	ga_s2am_ard_3-2-1_51KVS_2022-03-26_final
2022-06-13 12:05:11	ga_s2am_ard_3-2-1_49JGM_2022-06-13_final
2022-07-14 11:36:44	ga_s2am_ard_3-2-1_51HTE_2022-07-14_final
2022-07-21 11:23:17	ga_s2am_ard_3-2-1_52KBC_2022-07-21_final
2022-07-27 11:43:13	ga_s2am_ard_3-2-1_51KTU_2022-07-27_final
2022-07-28 11:13:39	ga_s2am_ard_3-2-1_52KEA_2022-07-28_final
2022-08-23 11:33:40	ga_s2am_ard_3-2-1_51KWS_2022-08-23_final.stac-item
2022-12-08 11:23:58	ga_s2am_ard_3-2-1_51KXQ_2022-12-08_final.stac-item
2022-12-15 11:12:49	ga_s2am_ard_3-2-1_52KDD_2022-12-15_final.stac-item
2023-01-06 11:53:09	ga_s2am_ard_3-2-1_50KRC_2023-01-06_final.stac-item
2023-01-27 11:22:05	ga_s2am_ard_3-2-1_52KBG_2023-01-27_final.stac-item
2023-03-01 11:33:25	ga_s2am_ard_3-2-1_51KWS_2023-03-01_final.stac-item
2023-03-04 11:46:19	ga_s2am_ard_3-2-1_50JNL_2023-03-04_final.stac-item
2023-06-03 11:13:52	ga_s2am_ard_3-2-1_52KDV_2023-06-03_final.stac-item
2023-06-22 11:42:17	ga_s2am_ard_3-2-1_51KVB_2023-06-22_final.stac-item
2023-06-29 11:33:46	ga_s2am_ard_3-2-1_51KWR_2023-06-29_final.stac-item
2023-07-28 12:04:04	ga_s2am_ard_3-2-1_49KHR_2023-07-28_final.stac-item
2023-08-16 10:54:21	ga_s2am_ard_3-2-1_52JGT_2023-08-16_final.stac-item
2023-08-28 11:32:35	ga_s2am_ard_3-2-1_51KWA_2023-08-28_final.stac-item
2023-09-10 11:43:48	ga_s2am_ard_3-2-1_51KUR_2023-09-10_final.stac-item
2023-09-27 11:31:55	ga_s2am_ard_3-2-1_51LYC_2023-09-27_final.stac-item
2024-02-28 11:12:20	ga_s2am_ard_3-2-1_52KDF_2024-02-28_final.stac-item
2024-03-11 11:55:03	ga_s2am_ard_3-2-1_50JPR_2024-03-11_final.stac-item
2024-03-29 11:12:28	ga_s2am_ard_3-2-1_52KFE_2024-03-29_final.stac-item
2024-04-24 11:33:44	ga_s2am_ard_3-2-1_51KWR_2024-04-24_final.stac-item
2024-04-26 12:14:58	ga_s2am_ard_3-2-1_49JGM_2024-04-26_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