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
2015-11-20 12:14:39	ga_s2am_ard_3-2-1_49JFN_2015-11-20_final.stac-item
2015-12-06 10:52:16	ga_s2am_ard_3-2-1_52KHE_2015-12-06_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_51KVA_2016-01-20_final.stac-item
2016-01-21 11:11:04	ga_s2am_ard_3-2-1_52LGM_2016-01-21_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49JGN_2016-06-04_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_51HTC_2016-09-13_final.stac-item
2016-09-27 11:11:31	ga_s2am_ard_3-2-1_52KEB_2016-09-27_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52KCV_2016-12-06_final.stac-item
2016-12-13 10:57:22	ga_s2am_ard_3-2-1_52LHM_2016-12-13_final
2017-01-02 11:02:35	ga_s2am_ard_3-2-1_52KDV_2017-01-02_final.stac-item
2017-05-01 11:36:06	ga_s2am_ard_3-2-1_51JTF_2017-05-01_final
2017-07-10 11:28:37	ga_s2am_ard_3-2-1_51KWQ_2017-07-10_final
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_50JKQ_2017-07-29_final
2017-08-20 11:03:00	ga_s2am_ard_3-2-1_52JFM_2017-08-20_final
2017-09-24 11:56:03	ga_s2am_ard_3-2-1_50JNM_2017-09-24_final
2017-11-08 11:02:57	ga_s2am_ard_3-2-1_52KHA_2017-11-08_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_52KCU_2017-12-11_final
2018-02-03 10:53:11	ga_s2am_ard_3-2-1_52KHB_2018-02-03_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50JNR_2018-03-30_final
2018-04-01 10:37:26	ga_s2am_ard_3-2-1_53HLD_2018-04-01_final
2018-04-03 11:23:03	ga_s2am_ard_3-2-1_51KYS_2018-04-03_final
2018-04-16 11:27:23	ga_s2am_ard_3-2-1_51KWB_2018-04-16_final
2018-05-09 11:34:47	ga_s2am_ard_3-2-1_51KUT_2018-05-09_final
2018-07-28 11:40:21	ga_s2am_ard_3-2-1_51KTS_2018-07-28_final
2018-07-29 11:07:13	ga_s2am_ard_3-2-1_52LHM_2018-07-29_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50HQJ_2018-08-14_final
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_51JVJ_2018-10-03_final
2019-01-15 11:12:02	ga_s2am_ard_3-2-1_52KDG_2019-01-15_final
2019-03-13 11:05:26	ga_s2am_ard_3-2-1_52JEN_2019-03-13_final
2019-03-16 11:13:33	ga_s2am_ard_3-2-1_52KCA_2019-03-16_final
2019-03-28 11:56:13	ga_s2am_ard_3-2-1_50JKM_2019-03-28_final
2019-05-04 11:46:37	ga_s2am_ard_3-2-1_50HPK_2019-05-04_final
2019-06-11 11:05:00	ga_s2am_ard_3-2-1_52JFQ_2019-06-11_final
2019-07-03 11:45:16	ga_s2am_ard_3-2-1_50JNR_2019-07-03_final
2020-01-04 10:55:58	ga_s2am_ard_3-2-1_52JEL_2020-01-04_final
2020-01-12 11:56:08	ga_s2am_ard_3-2-1_50JKM_2020-01-12_final
2020-04-02 11:21:55	ga_s2am_ard_3-2-1_51LYC_2020-04-02_final
2020-04-05 11:35:47	ga_s2am_ard_3-2-1_50JQN_2020-04-05_final
2020-04-18 11:46:41	ga_s2am_ard_3-2-1_50HMK_2020-04-18_final
2020-07-20 11:53:16	ga_s2am_ard_3-2-1_50KRC_2020-07-20_final
2020-07-29 10:46:06	ga_s2am_ard_3-2-1_52JGL_2020-07-29_final
2020-10-12 11:34:42	ga_s2am_ard_3-2-1_50JRT_2020-10-12_final
2020-11-02 11:05:57	ga_s2am_ard_3-2-1_52JCM_2020-11-02_final
2020-11-18 11:21:54	ga_s2am_ard_3-2-1_52LDH_2020-11-18_final
2020-11-18 11:25:41	ga_s2am_ard_3-2-1_51JXH_2020-11-18_final
2020-12-12 11:03:06	ga_s2am_ard_3-2-1_52KHB_2020-12-12_final
2020-12-20 12:04:23	ga_s2am_ard_3-2-1_50KLU_2020-12-20_final
2021-01-07 11:22:54	ga_s2am_ard_3-2-1_52KCD_2021-01-07_final
2021-01-09 12:05:56	ga_s2am_ard_3-2-1_50JKN_2021-01-09_final
2021-01-27 11:23:22	ga_s2am_ard_3-2-1_51KZS_2021-01-27_final
2021-02-08 12:03:58	ga_s2am_ard_3-2-1_49KHR_2021-02-08_final
2021-02-09 11:33:41	ga_s2am_ard_3-2-1_51KWR_2021-02-09_final
2021-02-18 12:06:09	ga_s2am_ard_3-2-1_50JKM_2021-02-18_final
2021-02-25 11:53:17	ga_s2am_ard_3-2-1_50KQC_2021-02-25_final
2021-03-10 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2021-03-10_final
2021-03-12 11:03:09	ga_s2am_ard_3-2-1_52KHB_2021-03-12_final
2021-04-03 11:46:45	ga_s2am_ard_3-2-1_50HPJ_2021-04-03_final
2021-04-11 11:01:12	ga_s2am_ard_3-2-1_52LGK_2021-04-11_final
2021-04-24 11:13:50	ga_s2am_ard_3-2-1_51KZQ_2021-04-24_final
2021-07-12 11:45:39	ga_s2am_ard_3-2-1_50JPP_2021-07-12_final
2021-10-29 12:13:44	ga_s2am_ard_3-2-1_50KKB_2021-10-29_final
2021-12-22 11:56:15	ga_s2am_ard_3-2-1_50JKM_2021-12-22_final
2022-01-26 11:02:48	ga_s2am_ard_3-2-1_52KFD_2022-01-26_final
2022-03-20 11:16:26	ga_s2am_ard_3-2-1_51HYE_2022-03-20_final
2022-03-26 11:35:59	ga_s2am_ard_3-2-1_51JVG_2022-03-26_final
2022-04-12 11:26:31	ga_s2am_ard_3-2-1_51HVE_2022-04-12_final
2022-05-18 11:43:53	ga_s2am_ard_3-2-1_51KTR_2022-05-18_final
2022-06-13 12:03:54	ga_s2am_ard_3-2-1_50KKB_2022-06-13_final
2022-09-08 11:55:24	ga_s2am_ard_3-2-1_50JLR_2022-09-08_final.stac-item
2022-10-26 11:12:31	ga_s2am_ard_3-2-1_52KFE_2022-10-26_final.stac-item
2022-10-29 11:24:12	ga_s2am_ard_3-2-1_51KYP_2022-10-29_final.stac-item
2022-11-15 11:13:47	ga_s2am_ard_3-2-1_52KEV_2022-11-15_final.stac-item
2022-11-15 11:14:19	ga_s2am_ard_3-2-1_52JDT_2022-11-15_final.stac-item
2022-12-05 11:16:23	ga_s2am_ard_3-2-1_51HYE_2022-12-05_final.stac-item
2022-12-25 11:12:18	ga_s2am_ard_3-2-1_52KDF_2022-12-25_final.stac-item
2022-12-30 12:05:54	ga_s2am_ard_3-2-1_50JKN_2022-12-30_final.stac-item
2023-01-04 11:14:16	ga_s2am_ard_3-2-1_52JDT_2023-01-04_final.stac-item
2023-01-12 12:14:57	ga_s2am_ard_3-2-1_49JFM_2023-01-12_final.stac-item
2023-02-19 11:31:56	ga_s2am_ard_3-2-1_51KZB_2023-02-19_final.stac-item
2023-03-17 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2023-03-17_final.stac-item
2023-03-25 11:15:37	ga_s2am_ard_3-2-1_51JYH_2023-03-25_final.stac-item
2023-03-29 10:54:08	ga_s2am_ard_3-2-1_52JHT_2023-03-29_final.stac-item
2023-04-03 11:42:27	ga_s2am_ard_3-2-1_51KVA_2023-04-03_final.stac-item
2023-04-14 11:15:10	ga_s2am_ard_3-2-1_51JYK_2023-04-14_final.stac-item
2023-05-04 11:13:54	ga_s2am_ard_3-2-1_51KZQ_2023-05-04_final.stac-item
2023-06-30 11:04:08	ga_s2am_ard_3-2-1_52KEU_2023-06-30_final.stac-item
2023-07-23 11:11:09	ga_s2am_ard_3-2-1_52LEL_2023-07-23_final.stac-item
2023-07-26 11:25:36	ga_s2am_ard_3-2-1_51JVJ_2023-07-26_final.stac-item
2023-09-21 12:51:01	ga_s2am_ard_3-2-1_48LWP_2023-09-21_final.stac-item
2023-10-09 12:14:07	ga_s2am_ard_3-2-1_50KKV_2023-10-09_final.stac-item
2023-10-19 10:36:16	ga_s2am_ard_3-2-1_53HLE_2023-10-19_final.stac-item
2023-11-20 11:11:31	ga_s2am_ard_3-2-1_52LEJ_2023-11-20_final.stac-item
2023-11-30 11:16:28	ga_s2am_ard_3-2-1_51HYD_2023-11-30_final.stac-item
2023-12-04 10:55:38	ga_s2am_ard_3-2-1_52JFM_2023-12-04_final.stac-item
2024-01-03 10:54:45	ga_s2am_ard_3-2-1_52JFR_2024-01-03_final.stac-item
2024-01-12 11:24:38	ga_s2am_ard_3-2-1_52JBR_2024-01-12_final.stac-item
2024-02-16 12:13:56	ga_s2am_ard_3-2-1_49KGR_2024-02-16_final.stac-item
2024-03-08 11:45:33	ga_s2am_ard_3-2-1_50JQP_2024-03-08_final.stac-item
2024-03-19 11:13:29	ga_s2am_ard_3-2-1_51KZS_2024-03-19_final.stac-item
2024-03-19 11:15:37	ga_s2am_ard_3-2-1_52JBN_2024-03-19_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