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
2016-05-14 10:52:22	ga_s2am_ard_3-2-1_52KGA_2016-05-14_final.stac-item
2016-05-14 10:52:22	ga_s2am_ard_3-2-1_52KGU_2016-05-14_final.stac-item
2016-05-14 10:52:22	ga_s2am_ard_3-2-1_53KMR_2016-05-14_final.stac-item
2016-05-14 10:52:22	ga_s2am_ard_3-2-1_52KGV_2016-05-14_final.stac-item
2016-05-14 10:52:22	ga_s2am_ard_3-2-1_52KHA_2016-05-14_final.stac-item
2016-05-15 10:19:00	ga_s2am_ard_3-2-1_54LYN_2016-05-15_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51KXS_2016-07-02_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51KXT_2016-07-02_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51KYQ_2016-07-02_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51KYR_2016-07-02_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51KYU_2016-07-02_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51KZT_2016-07-02_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51KZU_2016-07-02_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_52KBA_2016-07-02_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_52KBU_2016-07-02_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_52KCD_2016-07-02_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51KXP_2016-07-02_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51KXU_2016-07-02_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51KYS_2016-07-02_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51KYT_2016-07-02_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51KZP_2016-07-02_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51KZQ_2016-07-02_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_52KBB_2016-07-02_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_52KBC_2016-07-02_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_52KCC_2016-07-02_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50KKV_2016-07-14_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50KMA_2016-07-14_final.stac-item
2016-07-18 10:01:45	ga_s2am_ard_3-2-1_54HWE_2016-07-18_final.stac-item
2016-07-18 10:07:21	ga_s2am_ard_3-2-1_54HWD_2016-07-18_final.stac-item
2016-07-26 09:27:34	ga_s2am_ard_3-2-1_55GFR_2016-07-25_final.stac-item
2022-12-29 10:50:40	ga_s2am_ard_3-2-1_53LMG_2022-12-29_final.stac-item
2022-12-29 10:51:17	ga_s2am_ard_3-2-1_53LPD_2022-12-29_final.stac-item
2022-12-29 10:51:30	ga_s2am_ard_3-2-1_53LPC_2022-12-29_final.stac-item
2022-12-29 10:51:42	ga_s2am_ard_3-2-1_53LLC_2022-12-29_final.stac-item
2022-12-29 10:51:49	ga_s2am_ard_3-2-1_53KNB_2022-12-29_final.stac-item
2022-12-29 10:52:04	ga_s2am_ard_3-2-1_53KNA_2022-12-29_final.stac-item
2022-12-29 10:52:07	ga_s2am_ard_3-2-1_53KMA_2022-12-29_final.stac-item
2022-12-29 10:52:14	ga_s2am_ard_3-2-1_53KKA_2022-12-29_final.stac-item
2022-12-29 10:52:18	ga_s2am_ard_3-2-1_52KHF_2022-12-29_final.stac-item
2022-12-29 10:52:19	ga_s2am_ard_3-2-1_53KNV_2022-12-29_final.stac-item
2022-12-29 10:52:25	ga_s2am_ard_3-2-1_53KLV_2022-12-29_final.stac-item
2022-12-29 10:52:28	ga_s2am_ard_3-2-1_53KKV_2022-12-29_final.stac-item
2022-12-29 10:52:30	ga_s2am_ard_3-2-1_52KHE_2022-12-29_final.stac-item
2022-12-29 10:52:32	ga_s2am_ard_3-2-1_53KNU_2022-12-29_final.stac-item
2022-12-29 10:52:40	ga_s2am_ard_3-2-1_53KLU_2022-12-29_final.stac-item
2022-12-29 10:52:43	ga_s2am_ard_3-2-1_53KKU_2022-12-29_final.stac-item
2022-12-29 10:52:58	ga_s2am_ard_3-2-1_52KHC_2022-12-29_final.stac-item
2022-12-29 10:53:12	ga_s2am_ard_3-2-1_53KKS_2022-12-29_final.stac-item
2022-12-29 10:53:19	ga_s2am_ard_3-2-1_52KGB_2022-12-29_final.stac-item
2022-12-29 10:53:20	ga_s2am_ard_3-2-1_53KMR_2022-12-29_final.stac-item
2022-12-29 10:53:27	ga_s2am_ard_3-2-1_52KHA_2022-12-29_final.stac-item
2022-12-29 10:53:31	ga_s2am_ard_3-2-1_52KGA_2022-12-29_final.stac-item
2022-12-29 10:53:45	ga_s2am_ard_3-2-1_52KGV_2022-12-29_final.stac-item
2022-12-29 10:54:00	ga_s2am_ard_3-2-1_52KGU_2022-12-29_final.stac-item
2022-12-29 10:54:10	ga_s2am_ard_3-2-1_52JHT_2022-12-29_final.stac-item
2022-12-29 10:54:11	ga_s2am_ard_3-2-1_53JKN_2022-12-29_final.stac-item
2022-12-29 10:54:14	ga_s2am_ard_3-2-1_52JGT_2022-12-29_final.stac-item
2022-12-29 10:54:22	ga_s2am_ard_3-2-1_53JLM_2022-12-29_final.stac-item
2022-12-29 10:54:25	ga_s2am_ard_3-2-1_52JHS_2022-12-29_final.stac-item
2022-12-29 10:54:25	ga_s2am_ard_3-2-1_53JKM_2022-12-29_final.stac-item
2022-12-29 10:54:36	ga_s2am_ard_3-2-1_53JLL_2022-12-29_final.stac-item
2022-12-29 10:54:40	ga_s2am_ard_3-2-1_53JKL_2022-12-29_final.stac-item
2022-12-29 10:54:45	ga_s2am_ard_3-2-1_52JFR_2022-12-29_final.stac-item
2022-12-29 10:54:47	ga_s2am_ard_3-2-1_53JLK_2022-12-29_final.stac-item
2022-12-29 10:54:50	ga_s2am_ard_3-2-1_52JGQ_2022-12-29_final.stac-item
2022-12-29 10:54:51	ga_s2am_ard_3-2-1_52JFR_2022-12-29_final.stac-item
2022-12-29 10:54:53	ga_s2am_ard_3-2-1_53JLK_2022-12-29_final.stac-item
2022-12-29 10:54:57	ga_s2am_ard_3-2-1_52JGQ_2022-12-29_final.stac-item
2022-12-29 10:55:01	ga_s2am_ard_3-2-1_52JFQ_2022-12-29_final.stac-item
2022-12-29 10:55:12	ga_s2am_ard_3-2-1_52JGP_2022-12-29_final.stac-item
2022-12-29 10:55:15	ga_s2am_ard_3-2-1_52JFP_2022-12-29_final.stac-item
2022-12-29 10:55:21	ga_s2am_ard_3-2-1_52JEP_2022-12-29_final.stac-item
2022-12-29 10:55:23	ga_s2am_ard_3-2-1_53JKH_2022-12-29_final.stac-item
2022-12-29 10:55:26	ga_s2am_ard_3-2-1_52JGN_2022-12-29_final.stac-item
2022-12-29 10:55:30	ga_s2am_ard_3-2-1_52JFN_2022-12-29_final.stac-item
2022-12-29 10:55:33	ga_s2am_ard_3-2-1_52JEN_2022-12-29_final.stac-item
2022-12-29 10:55:38	ga_s2am_ard_3-2-1_53JKG_2022-12-29_final.stac-item
2022-12-29 10:55:41	ga_s2am_ard_3-2-1_52JGM_2022-12-29_final.stac-item
2022-12-29 10:55:48	ga_s2am_ard_3-2-1_52JEM_2022-12-29_final.stac-item
2022-12-29 10:55:53	ga_s2am_ard_3-2-1_53JKF_2022-12-29_final.stac-item
2022-12-29 10:55:55	ga_s2am_ard_3-2-1_52JGL_2022-12-29_final.stac-item
2023-01-10 09:51:57	ga_s2am_ard_3-2-1_55KGV_2023-01-10_nrt.stac-item
2023-01-10 09:52:06	ga_s2am_ard_3-2-1_56KKD_2023-01-10_nrt.stac-item
2023-01-10 09:58:08	ga_s2am_ard_3-2-1_54GXA_2023-01-10_nrt.stac-item
2023-01-10 11:30:12	ga_s2am_ard_3-2-1_52LCP_2023-01-10_nrt.stac-item
2023-01-10 11:30:21	ga_s2am_ard_3-2-1_51LZJ_2023-01-10_nrt.stac-item
2023-01-10 11:30:27	ga_s2am_ard_3-2-1_51LXJ_2023-01-10_nrt.stac-item
2023-01-10 11:30:36	ga_s2am_ard_3-2-1_51LZH_2023-01-10_nrt.stac-item
2023-01-10 11:30:42	ga_s2am_ard_3-2-1_51LXH_2023-01-10_nrt.stac-item
2023-01-10 11:30:48	ga_s2am_ard_3-2-1_52LBM_2023-01-10_nrt.stac-item
2023-01-10 11:30:50	ga_s2am_ard_3-2-1_51LZG_2023-01-10_nrt.stac-item
2023-01-10 11:30:54	ga_s2am_ard_3-2-1_51LYG_2023-01-10_nrt.stac-item
2023-01-10 11:30:57	ga_s2am_ard_3-2-1_51LXG_2023-01-10_nrt.stac-item
2023-01-10 11:31:11	ga_s2am_ard_3-2-1_51LXF_2023-01-10_nrt.stac-item
2023-01-10 11:37:27	ga_s2am_ard_3-2-1_51HTA_2023-01-10_nrt.stac-item
2023-01-10 11:37:29	ga_s2am_ard_3-2-1_50HPF_2023-01-10_nrt.stac-item
2023-01-10 11:37:32	ga_s2am_ard_3-2-1_51HUV_2023-01-10_nrt.stac-item
2023-01-11 09:22:51	ga_s2am_ard_3-2-1_56KPA_2023-01-10_nrt.stac-item
2023-01-11 09:28:24	ga_s2am_ard_3-2-1_55GGP_2023-01-10_nrt.stac-item
2023-01-11 09:28:48	ga_s2am_ard_3-2-1_55GGM_2023-01-10_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