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
2015-07-12 11:04:33	ga_s2am_ard_3-2-1_52JFP_2015-07-12_final.stac-item
2015-09-11 12:13:46	ga_s2am_ard_3-2-1_49KGR_2015-09-11_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JXM_2015-11-25_final.stac-item
2015-11-26 10:52:15	ga_s2am_ard_3-2-1_52KHA_2015-11-26_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JPP_2016-01-20_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52JCN_2016-03-28_final.stac-item
2016-04-30 11:14:04	ga_s2am_ard_3-2-1_51JYF_2016-04-30_final.stac-item
2016-05-20 11:12:21	ga_s2am_ard_3-2-1_52KCD_2016-05-20_final.stac-item
2016-06-02 11:26:14	ga_s2am_ard_3-2-1_51HUE_2016-06-02_final.stac-item
2016-09-01 10:48:19	ga_s2am_ard_3-2-1_52JGN_2016-09-01_final.stac-item
2016-11-06 11:07:10	ga_s2am_ard_3-2-1_52LGM_2016-11-06_final.stac-item
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_51KVS_2017-01-24_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_51KZP_2017-01-25_final
2017-02-04 11:16:25	ga_s2am_ard_3-2-1_51HYD_2017-02-04_final
2017-02-10 11:26:14	ga_s2am_ard_3-2-1_51LXD_2017-02-10_final
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_51KVA_2017-02-13_final
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_52KEV_2017-04-15_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_51LWC_2017-09-01_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_49KHQ_2017-09-07_final
2017-10-09 11:02:09	ga_s2am_ard_3-2-1_52KFB_2017-10-09_final
2017-11-01 11:07:12	ga_s2am_ard_3-2-1_52LGL_2017-11-01_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_50KKB_2017-11-29_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JPT_2017-12-03_final
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51JVK_2017-12-24_final
2018-01-27 10:57:11	ga_s2am_ard_3-2-1_52KHC_2018-01-27_final
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_51KYT_2018-02-02_final
2018-02-16 10:58:46	ga_s2am_ard_3-2-1_52LGM_2018-02-16_final
2018-02-28 11:38:46	ga_s2am_ard_3-2-1_51KVS_2018-02-28_final
2018-04-13 11:20:51	ga_s2am_ard_3-2-1_52LCJ_2018-04-13_final
2018-06-02 11:17:00	ga_s2am_ard_3-2-1_51KXS_2018-06-02_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50JLQ_2018-06-04_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50JLT_2018-06-04_final
2018-06-11 11:48:18	ga_s2am_ard_3-2-1_50KNC_2018-06-11_final
2018-12-02 11:35:18	ga_s2am_ard_3-2-1_51JVJ_2018-12-02_final
2018-12-12 11:36:49	ga_s2am_ard_3-2-1_51HTC_2018-12-12_final
2019-01-23 12:15:07	ga_s2am_ard_3-2-1_49JGL_2019-01-23_final
2019-03-22 11:32:13	ga_s2am_ard_3-2-1_51KWB_2019-03-22_final
2019-04-01 11:33:13	ga_s2am_ard_3-2-1_51KWT_2019-04-01_final
2019-04-25 11:15:54	ga_s2am_ard_3-2-1_52JBM_2019-04-25_final
2019-06-16 11:56:21	ga_s2am_ard_3-2-1_50JNL_2019-06-16_final
2019-09-16 10:52:19	ga_s2am_ard_3-2-1_52KHF_2019-09-16_final
2019-10-04 11:57:11	ga_s2am_ard_3-2-1_50HLH_2019-10-04_final
2019-10-25 11:27:05	ga_s2am_ard_3-2-1_51HUC_2019-10-25_final
2019-12-17 11:33:28	ga_s2am_ard_3-2-1_51KUS_2019-12-17_final
2019-12-20 11:44:21	ga_s2am_ard_3-2-1_51JUN_2019-12-20_final
2020-01-07 11:02:49	ga_s2am_ard_3-2-1_52KHC_2020-01-07_final
2020-02-29 11:11:11	ga_s2am_ard_3-2-1_52LFK_2020-02-29_final
2020-03-12 11:53:47	ga_s2am_ard_3-2-1_50KQA_2020-03-12_final
2020-05-25 11:34:09	ga_s2am_ard_3-2-1_51KUQ_2020-05-25_final
2020-05-25 11:34:49	ga_s2am_ard_3-2-1_51JVM_2020-05-25_final
2020-07-04 11:33:43	ga_s2am_ard_3-2-1_51KXR_2020-07-04_final
2020-07-14 11:36:51	ga_s2am_ard_3-2-1_51HTD_2020-07-14_final
2020-08-10 11:25:12	ga_s2am_ard_3-2-1_51JYK_2020-08-10_final
2020-12-22 11:03:33	ga_s2am_ard_3-2-1_52KEA_2020-12-22_final
2021-01-01 11:05:52	ga_s2am_ard_3-2-1_52JCM_2021-01-01_final
2021-01-26 11:56:14	ga_s2am_ard_3-2-1_50JKM_2021-01-26_final
2021-02-13 11:13:43	ga_s2am_ard_3-2-1_52KEV_2021-02-13_final
2021-03-05 11:16:05	ga_s2am_ard_3-2-1_52JBL_2021-03-05_final
2021-04-07 11:27:03	ga_s2am_ard_3-2-1_51HTC_2021-04-07_final
2021-04-15 10:45:54	ga_s2am_ard_3-2-1_52JGL_2021-04-15_final
2021-04-30 11:33:13	ga_s2am_ard_3-2-1_51KVT_2021-04-30_final
2021-05-03 11:45:30	ga_s2am_ard_3-2-1_50JQP_2021-05-03_final
2021-06-02 11:43:30	ga_s2am_ard_3-2-1_51KUS_2021-06-02_final
2021-06-22 11:47:03	ga_s2am_ard_3-2-1_50HPH_2021-06-22_final
2021-08-05 11:23:38	ga_s2am_ard_3-2-1_51KZR_2021-08-05_final
2021-08-28 11:37:04	ga_s2am_ard_3-2-1_50HQH_2021-08-28_final
2021-10-30 11:43:23	ga_s2am_ard_3-2-1_50KRC_2021-10-30_final
2021-11-05 12:06:13	ga_s2am_ard_3-2-1_50JKM_2021-11-05_final
2021-11-26 11:31:21	ga_s2am_ard_3-2-1_51LZE_2021-11-26_final
2022-04-28 11:43:37	ga_s2am_ard_3-2-1_51KTS_2022-04-28_final
2022-04-28 11:44:03	ga_s2am_ard_3-2-1_51KUQ_2022-04-28_final
2022-04-28 11:44:10	ga_s2am_ard_3-2-1_50KQV_2022-04-28_final
2022-05-31 11:53:29	ga_s2am_ard_3-2-1_50KPC_2022-05-31_final
2022-06-01 11:25:14	ga_s2am_ard_3-2-1_51JYK_2022-06-01_final
2022-07-10 11:55:40	ga_s2am_ard_3-2-1_50JLQ_2022-07-10_final
2022-08-09 11:54:08	ga_s2am_ard_3-2-1_50KNA_2022-08-09_final
2022-08-16 11:47:15	ga_s2am_ard_3-2-1_50HPH_2022-08-16_final
2022-08-16 11:47:27	ga_s2am_ard_3-2-1_50HLH_2022-08-16_final
2022-09-22 11:34:00	ga_s2am_ard_3-2-1_51KXQ_2022-09-22_final.stac-item
2022-11-11 11:33:37	ga_s2am_ard_3-2-1_51KUS_2022-11-11_final.stac-item
2022-11-21 11:31:07	ga_s2am_ard_3-2-1_51LZF_2022-11-21_final.stac-item
2022-11-25 11:13:36	ga_s2am_ard_3-2-1_52KCA_2022-11-25_final.stac-item
2023-01-01 11:02:17	ga_s2am_ard_3-2-1_52KFF_2023-01-01_final.stac-item
2023-01-03 11:43:17	ga_s2am_ard_3-2-1_50KRC_2023-01-03_final.stac-item
2023-01-11 11:03:15	ga_s2am_ard_3-2-1_52KFB_2023-01-11_final.stac-item
2023-01-31 11:02:28	ga_s2am_ard_3-2-1_52KGE_2023-01-31_final.stac-item
2023-02-06 11:26:17	ga_s2am_ard_3-2-1_51JUF_2023-02-06_final.stac-item
2023-05-31 11:06:37	ga_s2am_ard_3-2-1_52HBJ_2023-05-31_final.stac-item
2023-07-03 11:14:02	ga_s2am_ard_3-2-1_52KEU_2023-07-03_final.stac-item
2023-07-05 11:57:19	ga_s2am_ard_3-2-1_49HGC_2023-07-05_nrt.stac-item
2023-09-24 11:23:15	ga_s2am_ard_3-2-1_51KXT_2023-09-24_final.stac-item
2024-01-09 11:13:03	ga_s2am_ard_3-2-1_52KEC_2024-01-09_final.stac-item
2024-01-22 11:23:42	ga_s2am_ard_3-2-1_52KBV_2024-01-22_final.stac-item
2024-02-14 11:31:03	ga_s2am_ard_3-2-1_51LZF_2024-02-14_final.stac-item
2024-02-21 11:21:08	ga_s2am_ard_3-2-1_51LZF_2024-02-21_final.stac-item
2024-03-03 10:52:45	ga_s2am_ard_3-2-1_52KHD_2024-03-03_final.stac-item
2024-03-06 11:03:31	ga_s2am_ard_3-2-1_52KFA_2024-03-06_final.stac-item
2024-03-12 11:26:11	ga_s2am_ard_3-2-1_51JVF_2024-03-12_final.stac-item
2024-03-29 11:13:44	ga_s2am_ard_3-2-1_52KEV_2024-03-29_final.stac-item
2024-04-23 12:06:13	ga_s2am_ard_3-2-1_50JKM_2024-04-23_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