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
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50JKP_2016-01-16_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50KQV_2016-02-02_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51LVC_2016-02-19_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JVH_2016-06-05_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_50JLN_2016-08-03_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_50HNH_2016-08-17_final.stac-item
2016-10-30 11:18:19	ga_s2am_ard_3-2-1_51JWN_2016-10-30_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_50JKM_2016-11-11_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_50JQN_2016-12-12_final
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_51JXJ_2016-12-26_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KUV_2017-01-14_final
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_51HUE_2017-01-31_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_51KVV_2017-02-03_final
2017-05-05 11:12:04	ga_s2am_ard_3-2-1_51HYD_2017-05-05_final
2017-06-13 11:40:49	ga_s2am_ard_3-2-1_51LVC_2017-06-13_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50HQK_2017-08-12_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_49KHP_2017-09-07_final
2017-11-07 11:26:54	ga_s2am_ard_3-2-1_51LZD_2017-11-07_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_52JBL_2017-12-11_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_51KVU_2017-12-30_final
2018-02-15 11:34:02	ga_s2am_ard_3-2-1_51JWM_2018-02-15_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_51KXQ_2018-04-26_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50KLB_2018-05-25_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JQQ_2018-06-18_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51JVG_2018-08-04_final
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_51HUC_2018-10-03_final
2018-10-27 11:13:53	ga_s2am_ard_3-2-1_52JBM_2018-10-27_final
2018-11-06 11:15:49	ga_s2am_ard_3-2-1_51JYG_2018-11-06_final
2018-11-11 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2018-11-11_final
2018-11-19 11:26:05	ga_s2am_ard_3-2-1_51JWF_2018-11-19_final
2018-12-09 11:25:40	ga_s2am_ard_3-2-1_51JXG_2018-12-09_final
2019-01-03 12:15:14	ga_s2am_ard_3-2-1_49JGK_2019-01-03_final
2019-01-24 11:46:19	ga_s2am_ard_3-2-1_50JNL_2019-01-24_final
2019-03-25 11:43:14	ga_s2am_ard_3-2-1_51KUT_2019-03-25_final
2019-03-29 11:26:38	ga_s2am_ard_3-2-1_51HUE_2019-03-29_final
2019-04-11 11:33:03	ga_s2am_ard_3-2-1_51KVU_2019-04-11_final
2019-12-10 11:42:39	ga_s2am_ard_3-2-1_51KVV_2019-12-10_final
2019-12-20 11:43:56	ga_s2am_ard_3-2-1_50KRV_2019-12-20_final
2020-01-03 11:25:25	ga_s2am_ard_3-2-1_51JVJ_2020-01-03_final
2020-01-06 11:32:14	ga_s2am_ard_3-2-1_51KVB_2020-01-06_final
2020-02-05 11:32:06	ga_s2am_ard_3-2-1_51KWB_2020-02-05_final
2020-02-19 11:14:32	ga_s2am_ard_3-2-1_52JBS_2020-02-19_final
2020-04-09 11:13:38	ga_s2am_ard_3-2-1_51KZR_2020-04-09_final
2020-04-17 12:15:20	ga_s2am_ard_3-2-1_49JGK_2020-04-17_final
2020-05-24 12:05:03	ga_s2am_ard_3-2-1_49JHM_2020-05-24_final
2020-06-03 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2020-06-03_final
2020-06-28 11:16:42	ga_s2am_ard_3-2-1_51HYD_2020-06-28_final
2020-08-10 11:24:17	ga_s2am_ard_3-2-1_51KXP_2020-08-10_final
2020-08-10 11:25:12	ga_s2am_ard_3-2-1_51JYK_2020-08-10_final
2020-10-16 11:14:35	ga_s2am_ard_3-2-1_51JYN_2020-10-16_final
2020-12-11 11:33:44	ga_s2am_ard_3-2-1_51KUR_2020-12-11_final
2021-01-14 11:16:38	ga_s2am_ard_3-2-1_51HYD_2021-01-14_final
2021-02-02 11:42:42	ga_s2am_ard_3-2-1_51KVV_2021-02-02_final
2021-02-05 11:55:23	ga_s2am_ard_3-2-1_50JMQ_2021-02-05_final
2021-02-15 11:55:14	ga_s2am_ard_3-2-1_50JPQ_2021-02-15_final
2021-02-18 12:05:14	ga_s2am_ard_3-2-1_49JGL_2021-02-18_final
2021-03-04 11:46:34	ga_s2am_ard_3-2-1_50HPK_2021-03-04_final
2021-05-29 12:05:16	ga_s2am_ard_3-2-1_49JGL_2021-05-29_final
2021-06-08 12:04:54	ga_s2am_ard_3-2-1_50JLS_2021-06-08_final
2021-06-16 11:24:08	ga_s2am_ard_3-2-1_51KYP_2021-06-16_final
2021-07-12 11:46:11	ga_s2am_ard_3-2-1_50JNM_2021-07-12_final
2021-07-13 11:14:49	ga_s2am_ard_3-2-1_52JDR_2021-07-13_final
2021-07-29 11:37:04	ga_s2am_ard_3-2-1_51HTC_2021-07-29_final
2021-08-05 11:23:31	ga_s2am_ard_3-2-1_51KXS_2021-08-05_final
2021-11-02 11:56:41	ga_s2am_ard_3-2-1_50HMK_2021-11-02_final
2021-12-03 11:25:42	ga_s2am_ard_3-2-1_51JWH_2021-12-03_final
2021-12-06 11:37:06	ga_s2am_ard_3-2-1_50HPH_2021-12-06_final
2022-01-16 11:06:04	ga_s2am_ard_3-2-1_52JDL_2022-01-16_final
2022-01-19 11:14:35	ga_s2am_ard_3-2-1_52JCS_2022-01-19_final
2022-03-02 11:56:29	ga_s2am_ard_3-2-1_50JLL_2022-03-02_final
2022-04-26 11:06:11	ga_s2am_ard_3-2-1_52JCL_2022-04-26_final
2022-05-12 11:25:56	ga_s2am_ard_3-2-1_51JXG_2022-05-12_final
2022-05-19 11:14:44	ga_s2am_ard_3-2-1_52JBS_2022-05-19_final
2022-05-29 11:14:45	ga_s2am_ard_3-2-1_51JZM_2022-05-29_final
2022-06-01 11:24:45	ga_s2am_ard_3-2-1_51JYM_2022-06-01_final
2022-06-18 11:14:52	ga_s2am_ard_3-2-1_51JYM_2022-06-18_final
2022-06-18 11:15:07	ga_s2am_ard_3-2-1_51JYL_2022-06-18_final
2022-06-18 11:15:22	ga_s2am_ard_3-2-1_51JYK_2022-06-18_final
2022-07-10 11:55:40	ga_s2am_ard_3-2-1_50JLQ_2022-07-10_final
2022-07-20 11:56:29	ga_s2am_ard_3-2-1_50JNL_2022-07-20_final
2022-07-21 11:27:13	ga_s2am_ard_3-2-1_51HUC_2022-07-21_final
2022-07-30 11:55:56	ga_s2am_ard_3-2-1_50JKP_2022-07-30_final
2022-08-05 12:13:51	ga_s2am_ard_3-2-1_50KKB_2022-08-05_final
2022-08-16 11:46:53	ga_s2am_ard_3-2-1_50HMK_2022-08-16_final
2022-08-26 11:43:34	ga_s2am_ard_3-2-1_50KQC_2022-08-26_final.stac-item
2022-09-12 11:35:14	ga_s2am_ard_3-2-1_51JTL_2022-09-12_final.stac-item
2022-09-22 11:36:41	ga_s2am_ard_3-2-1_50HQK_2022-09-22_final.stac-item
2022-12-04 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2022-12-04_final.stac-item
2022-12-27 11:57:11	ga_s2am_ard_3-2-1_50HKH_2022-12-27_nrt.stac-item
2023-01-27 11:25:54	ga_s2am_ard_3-2-1_51JWG_2023-01-27_final.stac-item
2023-03-04 11:44:34	ga_s2am_ard_3-2-1_50JPT_2023-03-04_final.stac-item
2023-03-25 11:16:35	ga_s2am_ard_3-2-1_51HYD_2023-03-25_final.stac-item
2023-03-30 12:04:26	ga_s2am_ard_3-2-1_49KGP_2023-03-30_final.stac-item
2023-06-19 11:33:49	ga_s2am_ard_3-2-1_51KVR_2023-06-19_final.stac-item
2023-06-26 11:23:13	ga_s2am_ard_3-2-1_51KYT_2023-06-26_final.stac-item
2023-07-25 11:55:47	ga_s2am_ard_3-2-1_50JLP_2023-07-25_final.stac-item
2023-08-12 11:16:39	ga_s2am_ard_3-2-1_52HBJ_2023-08-12_nrt.stac-item
2023-08-12 11:16:45	ga_s2am_ard_3-2-1_51HXD_2023-08-12_final.stac-item
2024-01-12 11:21:05	ga_s2am_ard_3-2-1_51LZF_2024-01-12_final.stac-item
2024-03-11 11:57:15	ga_s2am_ard_3-2-1_49HGC_2024-03-11_nrt.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