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
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50JQN_2016-06-18_final.stac-item
2016-07-19 11:10:41	ga_s2am_ard_3-2-1_52LGM_2016-07-19_final.stac-item
2016-09-28 10:45:16	ga_s2am_ard_3-2-1_53HME_2016-09-28_final.stac-item
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_51KUV_2017-01-24_final
2017-07-10 11:28:37	ga_s2am_ard_3-2-1_51KWT_2017-07-10_final
2017-10-12 11:07:11	ga_s2am_ard_3-2-1_52LHN_2017-10-12_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49JGL_2017-10-17_final
2017-12-04 11:16:54	ga_s2am_ard_3-2-1_52KBF_2017-12-04_final
2018-03-17 11:33:01	ga_s2am_ard_3-2-1_51KWT_2018-03-17_final
2018-04-26 11:26:22	ga_s2am_ard_3-2-1_51LWC_2018-04-26_final
2018-10-15 10:27:05	ga_s2am_ard_3-2-1_53HPA_2018-10-15_final
2018-12-12 11:32:35	ga_s2am_ard_3-2-1_51KWV_2018-12-12_final
2019-01-05 11:14:24	ga_s2am_ard_3-2-1_51JYN_2019-01-05_final
2019-01-15 11:12:42	ga_s2am_ard_3-2-1_52KED_2019-01-15_final
2019-02-10 11:32:58	ga_s2am_ard_3-2-1_51KVU_2019-02-10_final
2019-02-14 11:10:54	ga_s2am_ard_3-2-1_52LGL_2019-02-14_final
2019-05-30 12:05:03	ga_s2am_ard_3-2-1_49JGM_2019-05-30_final
2019-07-09 12:03:49	ga_s2am_ard_3-2-1_50KKB_2019-07-09_final
2019-07-14 11:10:30	ga_s2am_ard_3-2-1_52LHN_2019-07-14_final
2019-08-09 11:33:34	ga_s2am_ard_3-2-1_51KVS_2019-08-09_final
2019-08-19 11:33:33	ga_s2am_ard_3-2-1_51KVS_2019-08-19_final
2019-09-11 11:41:31	ga_s2am_ard_3-2-1_51LUE_2019-09-11_final
2019-10-18 11:33:34	ga_s2am_ard_3-2-1_51KVS_2019-10-18_final
2019-12-01 11:10:42	ga_s2am_ard_3-2-1_52LGM_2019-12-01_final
2019-12-17 11:33:36	ga_s2am_ard_3-2-1_51KWR_2019-12-17_final
2019-12-20 11:42:40	ga_s2am_ard_3-2-1_51KUV_2019-12-20_final
2019-12-26 12:05:46	ga_s2am_ard_3-2-1_50JLN_2019-12-26_final
2020-01-08 12:13:48	ga_s2am_ard_3-2-1_50KKA_2020-01-08_final
2020-01-17 11:03:14	ga_s2am_ard_3-2-1_52KEB_2020-01-17_final
2020-01-20 11:12:11	ga_s2am_ard_3-2-1_52KEF_2020-01-20_final
2020-02-22 11:23:56	ga_s2am_ard_3-2-1_51KWQ_2020-02-22_final
2020-04-25 11:33:54	ga_s2am_ard_3-2-1_51KXQ_2020-04-25_final
2020-06-24 11:34:02	ga_s2am_ard_3-2-1_51KWQ_2020-06-24_final
2020-07-11 11:23:11	ga_s2am_ard_3-2-1_51KZT_2020-07-11_final
2020-07-17 11:46:42	ga_s2am_ard_3-2-1_50HNK_2020-07-17_final
2020-07-28 11:14:00	ga_s2am_ard_3-2-1_52KBV_2020-07-28_final
2020-08-06 11:46:06	ga_s2am_ard_3-2-1_50JPM_2020-08-06_final
2020-08-20 11:23:34	ga_s2am_ard_3-2-1_51KXS_2020-08-20_final
2020-09-19 11:21:37	ga_s2am_ard_3-2-1_52LDJ_2020-09-19_final
2020-11-03 10:36:41	ga_s2am_ard_3-2-1_53HNC_2020-11-03_final
2020-11-10 12:05:42	ga_s2am_ard_3-2-1_50JLP_2020-11-10_final
2020-12-01 11:33:34	ga_s2am_ard_3-2-1_51KUS_2020-12-01_final
2020-12-02 11:04:20	ga_s2am_ard_3-2-1_52JDT_2020-12-02_final
2020-12-21 11:33:37	ga_s2am_ard_3-2-1_51KXR_2020-12-21_final
2021-01-10 11:33:17	ga_s2am_ard_3-2-1_51KVT_2021-01-10_final
2021-01-10 11:33:53	ga_s2am_ard_3-2-1_51KXQ_2021-01-10_final
2021-03-07 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-03-07_final
2021-04-30 11:36:26	ga_s2am_ard_3-2-1_51HUE_2021-04-30_final
2021-05-07 11:23:27	ga_s2am_ard_3-2-1_51KXS_2021-05-07_final
2021-05-16 11:55:26	ga_s2am_ard_3-2-1_50JPP_2021-05-16_final
2021-07-22 11:43:32	ga_s2am_ard_3-2-1_51KUS_2021-07-22_final
2021-07-28 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2021-07-28_final
2021-09-27 11:31:46	ga_s2am_ard_3-2-1_51LXD_2021-09-27_final
2021-09-27 11:34:14	ga_s2am_ard_3-2-1_51KWP_2021-09-27_final
2021-09-29 12:15:14	ga_s2am_ard_3-2-1_49JGL_2021-09-29_final
2021-10-17 11:33:33	ga_s2am_ard_3-2-1_51KWS_2021-10-17_final
2021-11-26 11:33:42	ga_s2am_ard_3-2-1_51KWR_2021-11-26_final
2021-12-06 11:33:41	ga_s2am_ard_3-2-1_51KWR_2021-12-06_final
2021-12-10 11:13:12	ga_s2am_ard_3-2-1_52KBC_2021-12-10_final
2021-12-24 10:52:32	ga_s2am_ard_3-2-1_52KHE_2021-12-24_final
2021-12-26 11:33:23	ga_s2am_ard_3-2-1_51KUT_2021-12-26_final
2022-03-27 11:05:43	ga_s2am_ard_3-2-1_52JDN_2022-03-27_final
2022-05-28 11:42:17	ga_s2am_ard_3-2-1_51KWB_2022-05-28_final
2022-07-31 11:23:20	ga_s2am_ard_3-2-1_51KYT_2022-07-31_final
2022-08-25 12:14:54	ga_s2am_ard_3-2-1_49JGN_2022-08-25_final
2022-09-03 11:03:32	ga_s2am_ard_3-2-1_52KEB_2022-09-03_final.stac-item
2022-09-03 11:06:10	ga_s2am_ard_3-2-1_52JBM_2022-09-03_final.stac-item
2022-09-12 11:33:23	ga_s2am_ard_3-2-1_51KWT_2022-09-12_final.stac-item
2022-10-29 11:24:40	ga_s2am_ard_3-2-1_51JYM_2022-10-29_final.stac-item
2022-11-01 11:33:34	ga_s2am_ard_3-2-1_51KVS_2022-11-01_final.stac-item
2022-11-11 11:32:58	ga_s2am_ard_3-2-1_51KXU_2022-11-11_final.stac-item
2022-11-11 11:33:26	ga_s2am_ard_3-2-1_51KUT_2022-11-11_final.stac-item
2022-12-16 10:46:20	ga_s2am_ard_3-2-1_53HMD_2022-12-16_final.stac-item
2023-01-07 11:24:01	ga_s2am_ard_3-2-1_51KWQ_2023-01-07_final.stac-item
2023-01-23 11:41:29	ga_s2am_ard_3-2-1_51LUE_2023-01-23_final.stac-item
2023-02-28 12:03:21	ga_s2am_ard_3-2-1_50KMC_2023-02-28_final.stac-item
2023-03-24 11:41:31	ga_s2am_ard_3-2-1_51LUE_2023-03-24_final.stac-item
2023-04-10 11:34:15	ga_s2am_ard_3-2-1_51JXN_2023-04-10_final.stac-item
2023-05-02 12:14:31	ga_s2am_ard_3-2-1_49KFP_2023-05-02_nrt.stac-item
2023-05-13 11:42:45	ga_s2am_ard_3-2-1_51KUV_2023-05-13_final.stac-item
2023-05-21 11:06:06	ga_s2am_ard_3-2-1_52JDL_2023-05-21_final.stac-item
2023-06-02 11:42:03	ga_s2am_ard_3-2-1_51LVC_2023-06-02_final.stac-item
2023-06-03 11:13:34	ga_s2am_ard_3-2-1_52KEA_2023-06-03_final.stac-item
2023-07-01 10:37:03	ga_s2am_ard_3-2-1_53HPA_2023-07-01_final.stac-item
2023-07-18 12:05:45	ga_s2am_ard_3-2-1_50JKP_2023-07-18_final.stac-item
2023-07-19 11:33:57	ga_s2am_ard_3-2-1_51KXQ_2023-07-19_final.stac-item
2023-07-23 11:14:33	ga_s2am_ard_3-2-1_51JYN_2023-07-23_final.stac-item
2023-08-22 11:14:00	ga_s2am_ard_3-2-1_51KZQ_2023-08-22_final.stac-item
2023-09-01 11:10:48	ga_s2am_ard_3-2-1_52LGM_2023-09-01_final.stac-item
2023-09-20 11:46:43	ga_s2am_ard_3-2-1_50HMK_2023-09-20_final.stac-item
2023-10-04 11:23:44	ga_s2am_ard_3-2-1_51KXR_2023-10-04_final.stac-item
2023-10-06 10:27:06	ga_s2am_ard_3-2-1_53HPA_2023-10-06_final.stac-item
2023-10-14 11:23:37	ga_s2am_ard_3-2-1_51KYR_2023-10-14_final.stac-item
2023-12-23 11:23:17	ga_s2am_ard_3-2-1_52KBB_2023-12-23_final.stac-item
2024-01-15 11:32:00	ga_s2am_ard_3-2-1_51KYB_2024-01-15_final.stac-item
2024-01-16 11:01:21	ga_s2am_ard_3-2-1_52LHJ_2024-01-16_final.stac-item
2024-01-29 12:50:54	ga_s2am_ard_3-2-1_48LWP_2024-01-29_final.stac-item
2024-03-04 12:03:59	ga_s2am_ard_3-2-1_49KHR_2024-03-04_final.stac-item
2024-03-15 11:33:41	ga_s2am_ard_3-2-1_51KWR_2024-03-15_final.stac-item
2024-04-14 11:33:32	ga_s2am_ard_3-2-1_51KVS_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