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
2016-05-23 11:17:05	ga_s2am_ard_3-2-1_51KYA_2016-05-23_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49KHP_2016-06-04_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_51KUQ_2016-07-15_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JKM_2016-07-21_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50HMH_2016-09-19_final.stac-item
2016-09-23 11:35:58	ga_s2am_ard_3-2-1_51JTG_2016-09-23_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_51KVS_2016-09-26_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_51KVV_2016-12-25_final
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50JPL_2017-04-14_final.stac-item
2017-09-08 11:36:17	ga_s2am_ard_3-2-1_51HUD_2017-09-08_final
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_49JGK_2017-10-27_final
2017-11-21 11:11:58	ga_s2am_ard_3-2-1_51HYD_2017-11-21_final
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_51JZM_2017-12-31_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JNQ_2018-02-01_final
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_51KXP_2018-02-02_final
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_51KXU_2018-02-02_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51JTN_2018-02-18_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50JQT_2018-02-28_final
2018-03-20 11:37:46	ga_s2am_ard_3-2-1_51KVV_2018-03-20_final
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_51HUE_2018-03-27_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JLM_2018-04-22_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JNP_2018-04-22_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51HUE_2018-05-26_final
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_51JWJ_2018-06-25_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HNJ_2018-09-06_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51KWP_2018-09-30_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50JPM_2018-11-05_final
2018-11-22 11:33:49	ga_s2am_ard_3-2-1_51KWQ_2018-11-22_final
2018-11-26 11:16:00	ga_s2am_ard_3-2-1_51JYF_2018-11-26_final
2018-12-16 11:16:28	ga_s2am_ard_3-2-1_51HYD_2018-12-16_final
2019-01-03 12:15:14	ga_s2am_ard_3-2-1_49JGK_2019-01-03_final
2019-01-04 11:45:01	ga_s2am_ard_3-2-1_50JPR_2019-01-04_final
2019-01-14 11:43:14	ga_s2am_ard_3-2-1_51KTT_2019-01-14_final
2019-01-24 11:42:42	ga_s2am_ard_3-2-1_51KUV_2019-01-24_final
2019-02-20 11:32:22	ga_s2am_ard_3-2-1_51KXA_2019-02-20_final
2019-03-02 11:33:37	ga_s2am_ard_3-2-1_51KWR_2019-03-02_final
2019-03-16 11:16:04	ga_s2am_ard_3-2-1_51JYF_2019-03-16_final
2019-05-27 11:54:58	ga_s2am_ard_3-2-1_50JMS_2019-05-27_final
2019-06-23 11:46:23	ga_s2am_ard_3-2-1_50JPL_2019-06-23_final
2019-06-23 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-06-23_final
2019-06-26 11:56:15	ga_s2am_ard_3-2-1_50JLM_2019-06-26_final
2019-07-17 11:25:33	ga_s2am_ard_3-2-1_51JWJ_2019-07-17_final
2019-08-05 11:52:24	ga_s2am_ard_3-2-1_50KQG_2019-08-05_final.stac-item
2019-08-19 11:33:01	ga_s2am_ard_3-2-1_51KWU_2019-08-19_final
2019-11-24 11:25:10	ga_s2am_ard_3-2-1_51JXK_2019-11-24_final
2019-12-07 11:33:28	ga_s2am_ard_3-2-1_51KVS_2019-12-07_final
2020-01-06 11:33:22	ga_s2am_ard_3-2-1_51KWS_2020-01-06_final
2020-01-10 11:14:50	ga_s2am_ard_3-2-1_51JYL_2020-01-10_final
2020-02-29 11:16:32	ga_s2am_ard_3-2-1_51HYD_2020-02-29_final
2020-04-02 11:25:56	ga_s2am_ard_3-2-1_51JVG_2020-04-02_final
2020-04-22 11:24:31	ga_s2am_ard_3-2-1_51JWN_2020-04-22_final
2020-05-04 12:05:44	ga_s2am_ard_3-2-1_50JKP_2020-05-04_final
2020-05-25 11:36:29	ga_s2am_ard_3-2-1_51HVE_2020-05-25_final
2020-06-23 12:06:15	ga_s2am_ard_3-2-1_50JKM_2020-06-23_final
2020-07-23 12:06:15	ga_s2am_ard_3-2-1_50JKM_2020-07-23_final
2020-08-23 11:36:43	ga_s2am_ard_3-2-1_50HPK_2020-08-23_final
2020-08-29 11:56:04	ga_s2am_ard_3-2-1_50JKN_2020-08-29_final
2020-08-30 11:25:47	ga_s2am_ard_3-2-1_51JWH_2020-08-30_final
2020-09-22 11:32:24	ga_s2am_ard_3-2-1_51KVB_2020-09-22_final
2020-11-01 11:35:35	ga_s2am_ard_3-2-1_51JUJ_2020-11-01_final
2020-11-24 11:43:49	ga_s2am_ard_3-2-1_51KTR_2020-11-24_final
2020-11-25 11:14:30	ga_s2am_ard_3-2-1_51JYN_2020-11-25_final
2020-12-11 11:35:52	ga_s2am_ard_3-2-1_51JVG_2020-12-11_final
2021-02-12 11:43:17	ga_s2am_ard_3-2-1_51KTT_2021-02-12_final
2021-04-03 11:46:45	ga_s2am_ard_3-2-1_50HPJ_2021-04-03_final
2021-04-14 11:14:32	ga_s2am_ard_3-2-1_51JZM_2021-04-14_final
2021-06-09 11:34:03	ga_s2am_ard_3-2-1_51KUQ_2021-06-09_final
2021-06-18 12:04:43	ga_s2am_ard_3-2-1_50JKT_2021-06-18_final
2021-07-16 11:24:05	ga_s2am_ard_3-2-1_51KWQ_2021-07-16_final
2021-07-19 11:36:41	ga_s2am_ard_3-2-1_50HPK_2021-07-19_final
2021-09-27 11:37:01	ga_s2am_ard_3-2-1_51HUC_2021-09-27_final
2021-11-02 11:56:18	ga_s2am_ard_3-2-1_50JKM_2021-11-02_final
2022-04-04 12:05:28	ga_s2am_ard_3-2-1_50JKQ_2022-04-04_final
2022-05-24 12:04:33	ga_s2am_ard_3-2-1_50KKU_2022-05-24_final
2022-05-29 11:14:37	ga_s2am_ard_3-2-1_51JYN_2022-05-29_final
2022-08-03 11:33:27	ga_s2am_ard_3-2-1_51KVT_2022-08-03_final
2022-08-10 11:26:17	ga_s2am_ard_3-2-1_51JUG_2022-08-10_final
2022-08-26 11:43:31	ga_s2am_ard_3-2-1_50KRC_2022-08-26_final
2022-10-05 13:21:51	ga_s2am_ard_3-2-1_47LKG_2022-10-05_interim.stac-item
2022-11-11 11:36:27	ga_s2am_ard_3-2-1_51HVE_2022-11-11_final.stac-item
2022-11-21 11:36:20	ga_s2am_ard_3-2-1_50JQL_2022-11-21_final.stac-item
2023-01-27 11:26:27	ga_s2am_ard_3-2-1_51HVE_2023-01-27_final.stac-item
2023-02-06 11:26:31	ga_s2am_ard_3-2-1_51HUE_2023-02-06_final.stac-item
2023-02-22 11:47:00	ga_s2am_ard_3-2-1_50HPH_2023-02-22_final.stac-item
2023-03-04 11:43:01	ga_s2am_ard_3-2-1_50KRD_2023-03-04_final.stac-item
2023-03-28 11:24:42	ga_s2am_ard_3-2-1_51JWM_2023-03-28_final.stac-item
2023-04-03 11:42:12	ga_s2am_ard_3-2-1_51KVB_2023-04-03_final.stac-item
2023-04-03 11:44:01	ga_s2am_ard_3-2-1_51KTQ_2023-04-03_final.stac-item
2023-05-10 11:33:44	ga_s2am_ard_3-2-1_51KVR_2023-05-10_final.stac-item
2023-06-09 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2023-06-09_final.stac-item
2023-06-18 12:06:06	ga_s2am_ard_3-2-1_50JKN_2023-06-18_final.stac-item
2023-06-19 11:34:29	ga_s2am_ard_3-2-1_51JWN_2023-06-19_final.stac-item
2023-06-26 11:24:33	ga_s2am_ard_3-2-1_51JWN_2023-06-26_final.stac-item
2023-07-25 11:55:51	ga_s2am_ard_3-2-1_50JKP_2023-07-25_final.stac-item
2023-07-29 11:37:06	ga_s2am_ard_3-2-1_51HTC_2023-07-29_final.stac-item
2023-10-30 11:43:00	ga_s2am_ard_3-2-1_51KUU_2023-10-30_final.stac-item
2023-12-06 11:35:53	ga_s2am_ard_3-2-1_51JUG_2023-12-06_final.stac-item
2024-01-12 11:25:47	ga_s2am_ard_3-2-1_51JXG_2024-01-12_final.stac-item
2024-02-11 11:25:24	ga_s2am_ard_3-2-1_51JWJ_2024-02-11_final.stac-item
2024-04-24 11:36:45	ga_s2am_ard_3-2-1_51HUD_2024-04-24_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