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
2015-12-19 11:04:17	ga_s2am_ard_3-2-1_52KGB_2015-12-19_final.stac-item
2016-01-21 11:14:09	ga_s2am_ard_3-2-1_52KEC_2016-01-21_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50HNK_2016-03-03_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51KUS_2016-03-07_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_51HWE_2016-07-09_final.stac-item
2016-08-22 10:52:19	ga_s2am_ard_3-2-1_53KLV_2016-08-22_final.stac-item
2016-11-10 10:52:15	ga_s2am_ard_3-2-1_52KHE_2016-11-10_final.stac-item
2016-12-27 10:38:37	ga_s2am_ard_3-2-1_53KPS_2016-12-27_final
2017-01-12 11:02:04	ga_s2am_ard_3-2-1_52KFF_2017-01-12_final
2017-04-18 11:26:09	ga_s2am_ard_3-2-1_51JUF_2017-04-18_final
2017-07-15 10:42:03	ga_s2am_ard_3-2-1_53KRA_2017-07-15_final
2017-08-15 11:56:09	ga_s2am_ard_3-2-1_50JKM_2017-08-15_final
2017-08-26 11:21:56	ga_s2am_ard_3-2-1_51KWQ_2017-08-26_final
2017-10-06 10:53:13	ga_s2am_ard_3-2-1_52JFQ_2017-10-06_final
2018-01-15 10:23:20	ga_s2am_ard_3-2-1_53HPA_2018-01-15_final
2018-02-06 11:02:07	ga_s2am_ard_3-2-1_52KGE_2018-02-06_final
2018-03-29 10:30:36	ga_s2am_ard_3-2-1_53KRB_2018-03-29_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_51LVC_2018-04-09_final
2018-04-16 11:27:23	ga_s2am_ard_3-2-1_51KWS_2018-04-16_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_49KGP_2018-05-25_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KVA_2018-06-08_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HQJ_2018-06-28_final
2018-07-12 11:19:28	ga_s2am_ard_3-2-1_51KYQ_2018-07-12_final
2018-07-14 10:17:07	ga_s2am_ard_3-2-1_53JQL_2018-07-14_final
2018-09-17 11:13:02	ga_s2am_ard_3-2-1_52JBP_2018-09-17_final
2018-11-06 11:13:50	ga_s2am_ard_3-2-1_51KZQ_2018-11-06_final
2018-12-12 11:35:18	ga_s2am_ard_3-2-1_51JVJ_2018-12-12_final
2019-01-08 11:26:53	ga_s2am_ard_3-2-1_51HVC_2019-01-08_final
2019-02-04 11:15:54	ga_s2am_ard_3-2-1_51JXG_2019-02-04_final
2019-02-12 10:33:28	ga_s2am_ard_3-2-1_53KRQ_2019-02-12_final
2019-03-24 12:15:18	ga_s2am_ard_3-2-1_49JGK_2019-03-24_final
2019-05-03 10:34:11	ga_s2am_ard_3-2-1_53JPN_2019-05-03_final
2019-05-25 11:13:36	ga_s2am_ard_3-2-1_52KDA_2019-05-25_final
2019-07-16 10:17:10	ga_s2am_ard_3-2-1_53HQA_2019-07-16_final
2019-07-30 11:33:08	ga_s2am_ard_3-2-1_51KWU_2019-07-30_final
2019-10-21 11:42:02	ga_s2am_ard_3-2-1_51LVC_2019-10-21_final
2019-11-03 11:56:09	ga_s2am_ard_3-2-1_50JKM_2019-11-03_final
2019-11-20 11:43:19	ga_s2am_ard_3-2-1_50KRC_2019-11-20_final
2020-02-23 10:50:33	ga_s2am_ard_3-2-1_53LNG_2020-02-23_final
2020-03-13 11:24:08	ga_s2am_ard_3-2-1_51KXP_2020-03-13_final
2020-04-07 10:36:47	ga_s2am_ard_3-2-1_53HNB_2020-04-07_final
2020-04-22 11:26:56	ga_s2am_ard_3-2-1_51HWC_2020-04-22_final.stac-item
2020-04-24 12:03:25	ga_s2am_ard_3-2-1_50KMC_2020-04-24_final
2020-05-20 10:44:53	ga_s2am_ard_3-2-1_53JKL_2020-05-20_final
2020-05-27 10:34:42	ga_s2am_ard_3-2-1_53JPL_2020-05-27_final
2020-06-04 11:34:17	ga_s2am_ard_3-2-1_51KWP_2020-06-04_final
2020-06-16 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-06-16_final
2020-06-19 10:44:16	ga_s2am_ard_3-2-1_53JMN_2020-06-19_final
2020-06-21 11:27:04	ga_s2am_ard_3-2-1_51HVC_2020-06-21_final
2020-06-26 10:37:04	ga_s2am_ard_3-2-1_53HPA_2020-06-26_final
2020-07-20 11:57:14	ga_s2am_ard_3-2-1_50HLH_2020-07-20_final
2020-08-11 10:53:26	ga_s2am_ard_3-2-1_52KGB_2020-08-11_final
2020-09-02 11:34:01	ga_s2am_ard_3-2-1_51KWQ_2020-09-02_final
2020-09-22 11:33:13	ga_s2am_ard_3-2-1_51KWT_2020-09-22_final
2020-10-02 11:36:48	ga_s2am_ard_3-2-1_51HUD_2020-10-02_final
2020-12-08 11:21:36	ga_s2am_ard_3-2-1_52LBJ_2020-12-08_final
2021-01-02 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-01-02_final
2021-01-07 11:21:25	ga_s2am_ard_3-2-1_52LBK_2021-01-07_final
2021-01-23 11:42:28	ga_s2am_ard_3-2-1_51KVA_2021-01-23_final
2021-01-31 11:03:02	ga_s2am_ard_3-2-1_52KFC_2021-01-31_final
2021-02-16 11:25:02	ga_s2am_ard_3-2-1_51JVL_2021-02-16_final
2021-04-18 10:51:26	ga_s2am_ard_3-2-1_53LPC_2021-04-18_final
2021-04-28 10:53:51	ga_s2am_ard_3-2-1_53KLP_2021-04-28_final
2021-05-29 10:25:06	ga_s2am_ard_3-2-1_53JQJ_2021-05-29_final
2021-07-20 11:05:23	ga_s2am_ard_3-2-1_52JDP_2021-07-20_final
2021-10-12 10:46:15	ga_s2am_ard_3-2-1_53HLE_2021-10-12_final
2021-10-18 11:03:25	ga_s2am_ard_3-2-1_52KEB_2021-10-18_final
2021-10-22 10:45:52	ga_s2am_ard_3-2-1_52JGM_2021-10-22_final
2021-11-04 10:55:50	ga_s2am_ard_3-2-1_52JFM_2021-11-04_final
2021-11-17 11:05:59	ga_s2am_ard_3-2-1_52JBM_2021-11-17_final
2021-11-28 10:34:32	ga_s2am_ard_3-2-1_53JQL_2021-11-28_final
2022-01-08 11:43:26	ga_s2am_ard_3-2-1_51KVS_2022-01-08_final
2022-03-30 11:10:49	ga_s2am_ard_3-2-1_52LFM_2022-03-30_final.stac-item
2022-05-26 11:05:34	ga_s2am_ard_3-2-1_52JFN_2022-05-26_final
2022-07-06 10:36:34	ga_s2am_ard_3-2-1_53HND_2022-07-06_final
2022-09-13 11:06:28	ga_s2am_ard_3-2-1_52HDK_2022-09-13_final.stac-item
2022-11-06 10:43:56	ga_s2am_ard_3-2-1_53KNP_2022-11-06_final.stac-item
2022-11-11 11:34:14	ga_s2am_ard_3-2-1_51KWP_2022-11-11_final.stac-item
2022-11-14 11:41:58	ga_s2am_ard_3-2-1_51LWC_2022-11-14_final.stac-item
2022-12-29 10:51:30	ga_s2am_ard_3-2-1_53LPC_2022-12-29_final.stac-item
2023-01-11 11:02:37	ga_s2am_ard_3-2-1_52KFD_2023-01-11_final.stac-item
2023-01-15 10:45:10	ga_s2am_ard_3-2-1_53JNH_2023-01-15_final.stac-item
2023-01-31 11:01:54	ga_s2am_ard_3-2-1_53KKB_2023-01-31_final.stac-item
2023-02-11 10:32:17	ga_s2am_ard_3-2-1_53KRV_2023-02-11_final.stac-item
2023-04-14 11:12:42	ga_s2am_ard_3-2-1_52KFD_2023-04-14_final.stac-item
2023-05-09 12:04:42	ga_s2am_ard_3-2-1_49JHN_2023-05-09_final.stac-item
2023-07-27 10:53:51	ga_s2am_ard_3-2-1_52KGV_2023-07-27_final.stac-item
2023-08-02 11:15:27	ga_s2am_ard_3-2-1_52JBP_2023-08-02_final.stac-item
2023-09-23 11:57:16	ga_s2am_ard_3-2-1_49HGC_2023-09-23_nrt.stac-item
2023-10-10 11:42:41	ga_s2am_ard_3-2-1_51KVV_2023-10-10_final.stac-item
2023-10-16 12:05:54	ga_s2am_ard_3-2-1_50JKN_2023-10-16_final.stac-item
2023-11-14 10:51:03	ga_s2am_ard_3-2-1_53LPE_2023-11-14_final.stac-item
2023-11-14 10:54:29	ga_s2am_ard_3-2-1_52JGS_2023-11-14_final.stac-item
2024-01-15 11:31:52	ga_s2am_ard_3-2-1_51KZB_2024-01-15_final.stac-item
2024-01-15 11:33:23	ga_s2am_ard_3-2-1_51KVS_2024-01-15_final.stac-item
2024-02-03 10:25:01	ga_s2am_ard_3-2-1_53JQJ_2024-02-03_final.stac-item
2024-02-19 10:42:01	ga_s2am_ard_3-2-1_53KQA_2024-02-19_final.stac-item
2024-02-28 11:11:44	ga_s2am_ard_3-2-1_52LFH_2024-02-28_final.stac-item
2024-03-05 11:32:26	ga_s2am_ard_3-2-1_51KXA_2024-03-05_final.stac-item
2024-03-05 11:33:48	ga_s2am_ard_3-2-1_51KUR_2024-03-05_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