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
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51HWC_2016-07-22_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JNL_2016-09-19_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51KXR_2017-01-08_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49JGM_2017-12-19_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50KRC_2017-12-30_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KWS_2018-01-06_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KRC_2018-03-03_final
2018-03-07 11:30:40	ga_s2am_ard_3-2-1_51KXU_2018-03-07_final
2018-03-30 11:39:33	ga_s2am_ard_3-2-1_51KUT_2018-03-30_final
2018-04-20 11:10:14	ga_s2am_ard_3-2-1_51JYM_2018-04-20_final
2018-05-09 11:34:47	ga_s2am_ard_3-2-1_51KUS_2018-05-09_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_50KKB_2018-05-15_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KYU_2018-06-05_final
2018-06-18 11:37:34	ga_s2am_ard_3-2-1_51LUE_2018-06-18_final
2018-07-18 11:34:46	ga_s2am_ard_3-2-1_51KVV_2018-07-18_final
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_50HQG_2018-07-25_final.stac-item
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_51JWL_2018-09-23_final
2018-10-20 11:16:56	ga_s2am_ard_3-2-1_51KXR_2018-10-20_final
2018-12-09 11:25:01	ga_s2am_ard_3-2-1_51JXK_2018-12-09_final
2018-12-12 11:32:35	ga_s2am_ard_3-2-1_51KWV_2018-12-12_final
2018-12-25 11:42:51	ga_s2am_ard_3-2-1_51KVU_2018-12-25_final
2019-01-21 11:33:05	ga_s2am_ard_3-2-1_51KXT_2019-01-21_final
2019-01-21 11:33:30	ga_s2am_ard_3-2-1_51KUS_2019-01-21_final
2019-02-24 11:13:50	ga_s2am_ard_3-2-1_51KZQ_2019-02-24_final
2019-03-22 11:31:55	ga_s2am_ard_3-2-1_51LXC_2019-03-22_final
2019-03-22 11:32:56	ga_s2am_ard_3-2-1_51KWU_2019-03-22_final
2019-04-11 11:33:38	ga_s2am_ard_3-2-1_51KXR_2019-04-11_final
2019-04-24 11:41:00	ga_s2am_ard_3-2-1_51LWG_2019-04-24_final.stac-item
2019-05-11 11:33:42	ga_s2am_ard_3-2-1_51KXR_2019-05-11_final
2019-06-06 11:52:22	ga_s2am_ard_3-2-1_50KQG_2019-06-06_final.stac-item
2019-06-27 11:24:00	ga_s2am_ard_3-2-1_51KXQ_2019-06-27_final
2019-08-09 11:33:04	ga_s2am_ard_3-2-1_51KYT_2019-08-09_final
2019-10-04 11:56:32	ga_s2am_ard_3-2-1_50HNK_2019-10-04_final
2019-10-31 11:41:21	ga_s2am_ard_3-2-1_51LUF_2019-10-31_final
2019-11-17 11:33:29	ga_s2am_ard_3-2-1_51KWS_2019-11-17_final
2020-02-18 11:42:57	ga_s2am_ard_3-2-1_51KTU_2020-02-18_final
2020-03-09 11:42:42	ga_s2am_ard_3-2-1_51KUV_2020-03-09_final
2020-04-25 11:33:40	ga_s2am_ard_3-2-1_51KXR_2020-04-25_final
2020-05-28 11:41:03	ga_s2am_ard_3-2-1_51LWG_2020-05-28_final.stac-item
2020-06-30 11:56:41	ga_s2am_ard_3-2-1_50HMK_2020-06-30_final
2020-10-05 11:46:49	ga_s2am_ard_3-2-1_50HQJ_2020-10-05_final
2020-10-08 11:52:25	ga_s2am_ard_3-2-1_50KQG_2020-10-08_final.stac-item
2020-10-12 11:32:25	ga_s2am_ard_3-2-1_51KVB_2020-10-12_final
2020-10-25 11:41:38	ga_s2am_ard_3-2-1_51LUE_2020-10-25_final
2020-11-01 11:33:18	ga_s2am_ard_3-2-1_51KWT_2020-11-01_final
2020-12-24 11:41:32	ga_s2am_ard_3-2-1_51LUE_2020-12-24_final
2021-03-01 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2021-03-01_final
2021-03-03 12:13:54	ga_s2am_ard_3-2-1_50KKA_2021-03-03_final
2021-03-24 11:42:34	ga_s2am_ard_3-2-1_51KVV_2021-03-24_final
2021-04-07 11:26:34	ga_s2am_ard_3-2-1_51HWD_2021-04-07_final
2021-04-10 11:36:56	ga_s2am_ard_3-2-1_51HTC_2021-04-10_final
2021-04-14 11:16:00	ga_s2am_ard_3-2-1_52JBL_2021-04-14_final
2021-06-26 11:22:57	ga_s2am_ard_3-2-1_51KYU_2021-06-26_final
2021-07-19 11:35:22	ga_s2am_ard_3-2-1_51JWJ_2021-07-19_final
2021-07-26 11:23:17	ga_s2am_ard_3-2-1_51KXT_2021-07-26_final
2021-07-29 11:35:54	ga_s2am_ard_3-2-1_50JQN_2021-07-29_final
2021-08-21 11:42:44	ga_s2am_ard_3-2-1_51KVV_2021-08-21_final
2021-08-28 11:37:19	ga_s2am_ard_3-2-1_50HQG_2021-08-28_final.stac-item
2021-09-17 11:33:54	ga_s2am_ard_3-2-1_51KXQ_2021-09-17_final
2021-09-20 11:41:35	ga_s2am_ard_3-2-1_51LUE_2021-09-20_final
2021-10-04 11:23:30	ga_s2am_ard_3-2-1_51KYS_2021-10-04_final
2021-10-07 11:33:32	ga_s2am_ard_3-2-1_51KWS_2021-10-07_final
2021-11-23 11:23:35	ga_s2am_ard_3-2-1_52KBA_2021-11-23_final
2021-12-23 11:24:45	ga_s2am_ard_3-2-1_52JBR_2021-12-23_final
2022-01-05 11:33:58	ga_s2am_ard_3-2-1_51KWQ_2022-01-05_final
2022-03-19 11:41:22	ga_s2am_ard_3-2-1_51LUF_2022-03-19_final
2022-03-26 11:33:30	ga_s2am_ard_3-2-1_51KWS_2022-03-26_final
2022-04-28 11:42:51	ga_s2am_ard_3-2-1_51KUV_2022-04-28_final
2022-06-14 11:33:08	ga_s2am_ard_3-2-1_51KWU_2022-06-14_final
2022-07-01 11:24:15	ga_s2am_ard_3-2-1_51KWQ_2022-07-01_final
2022-07-14 11:37:19	ga_s2am_ard_3-2-1_50HPH_2022-07-14_final
2022-08-02 12:06:06	ga_s2am_ard_3-2-1_50JKN_2022-08-02_final
2022-08-31 10:54:42	ga_s2am_ard_3-2-1_52JGS_2022-08-31_final
2022-09-02 11:33:14	ga_s2am_ard_3-2-1_51KYT_2022-09-02_final.stac-item
2022-10-21 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2022-10-21_final.stac-item
2022-11-01 11:33:26	ga_s2am_ard_3-2-1_51KUT_2022-11-01_final.stac-item
2022-12-04 11:40:58	ga_s2am_ard_3-2-1_51LWG_2022-12-04_final.stac-item
2022-12-04 11:43:12	ga_s2am_ard_3-2-1_51KVT_2022-12-04_final.stac-item
2022-12-15 11:13:54	ga_s2am_ard_3-2-1_51KZQ_2022-12-15_final.stac-item
2022-12-21 11:33:11	ga_s2am_ard_3-2-1_51KWT_2022-12-21_final.stac-item
2023-02-19 11:32:11	ga_s2am_ard_3-2-1_51KWB_2023-02-19_final.stac-item
2023-02-23 11:13:52	ga_s2am_ard_3-2-1_51KZQ_2023-02-23_final.stac-item
2023-03-01 11:33:28	ga_s2am_ard_3-2-1_51KVS_2023-03-01_final.stac-item
2023-03-31 11:36:56	ga_s2am_ard_3-2-1_51HUC_2023-03-31_final.stac-item
2023-04-30 11:33:34	ga_s2am_ard_3-2-1_51KUS_2023-04-30_final.stac-item
2023-05-30 11:32:23	ga_s2am_ard_3-2-1_51KVB_2023-05-30_final.stac-item
2023-05-30 11:33:49	ga_s2am_ard_3-2-1_51KVR_2023-05-30_final.stac-item
2023-05-30 11:35:30	ga_s2am_ard_3-2-1_51JVJ_2023-05-30_final.stac-item
2023-07-29 11:33:07	ga_s2am_ard_3-2-1_51KYT_2023-07-29_final.stac-item
2023-09-07 11:33:00	ga_s2am_ard_3-2-1_51KXU_2023-09-07_final.stac-item
2023-09-19 12:14:59	ga_s2am_ard_3-2-1_49JGM_2023-09-19_final.stac-item
2023-10-17 11:33:21	ga_s2am_ard_3-2-1_51KUT_2023-10-17_final.stac-item
2023-10-20 11:43:15	ga_s2am_ard_3-2-1_51KUT_2023-10-20_final.stac-item
2023-11-13 11:23:20	ga_s2am_ard_3-2-1_51KZS_2023-11-13_final.stac-item
2023-11-30 11:13:21	ga_s2am_ard_3-2-1_51KZS_2023-11-30_final.stac-item
2023-12-03 11:22:48	ga_s2am_ard_3-2-1_51KYU_2023-12-03_final.stac-item
2023-12-23 11:22:49	ga_s2am_ard_3-2-1_51KZU_2023-12-23_final.stac-item
2023-12-23 11:23:36	ga_s2am_ard_3-2-1_51KYR_2023-12-23_final.stac-item
2023-12-26 11:33:19	ga_s2am_ard_3-2-1_51KUT_2023-12-26_final.stac-item
2024-02-25 11:05:57	ga_s2am_ard_3-2-1_52JBM_2024-02-25_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

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