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:

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First 100 results (query limit)

Time (local)	Label
2023-11-30 11:16:18	ga_s2am_ard_3-2-1_51HXE_2023-11-30_final.stac-item
2023-11-30 11:16:20	ga_s2am_ard_3-2-1_52HCJ_2023-11-30_nrt.stac-item
2023-11-30 11:16:22	ga_s2am_ard_3-2-1_51HWE_2023-11-30_final.stac-item
2023-11-30 11:16:26	ga_s2am_ard_3-2-1_52HBJ_2023-11-30_final.stac-item
2023-11-30 11:16:28	ga_s2am_ard_3-2-1_51HYD_2023-11-30_final.stac-item
2023-11-30 11:16:35	ga_s2am_ard_3-2-1_51HWD_2023-11-30_final.stac-item
2023-11-30 11:16:40	ga_s2am_ard_3-2-1_52HBH_2023-11-30_nrt.stac-item
2023-11-30 11:16:41	ga_s2am_ard_3-2-1_51HYC_2023-11-30_nrt.stac-item
2023-11-30 11:16:43	ga_s2am_ard_3-2-1_51HXC_2023-11-30_final.stac-item
2023-11-30 11:16:47	ga_s2am_ard_3-2-1_52HBG_2023-11-30_nrt.stac-item
2023-11-30 11:16:47	ga_s2am_ard_3-2-1_52HBH_2023-11-30_nrt.stac-item
2023-11-30 11:16:48	ga_s2am_ard_3-2-1_51HYB_2023-11-30_nrt.stac-item
2023-11-30 11:16:48	ga_s2am_ard_3-2-1_51HYC_2023-11-30_nrt.stac-item
2023-11-30 11:16:52	ga_s2am_ard_3-2-1_51HWC_2023-11-30_final.stac-item
2023-11-30 11:16:56	ga_s2am_ard_3-2-1_51HXB_2023-11-30_final.stac-item
2023-11-30 11:16:57	ga_s2am_ard_3-2-1_51HWB_2023-11-30_final.stac-item
2023-11-30 12:50:51	ga_s2am_ard_3-2-1_48LWP_2023-11-30_final.stac-item
2023-12-01 09:05:01	ga_s2am_ard_3-2-1_57JWF_2023-11-30_final.stac-item
2023-12-01 09:05:05	ga_s2am_ard_3-2-1_57JVF_2023-11-30_final.stac-item
2023-12-01 10:39:50	ga_s2am_ard_3-2-1_54LUP_2023-12-01_nrt.stac-item
2023-12-01 10:39:54	ga_s2am_ard_3-2-1_54LTP_2023-12-01_nrt.stac-item
2023-12-01 10:39:55	ga_s2am_ard_3-2-1_53LRJ_2023-12-01_nrt.stac-item
2023-12-01 10:39:59	ga_s2am_ard_3-2-1_53LQJ_2023-12-01_final.stac-item
2023-12-01 10:40:08	ga_s2am_ard_3-2-1_54LTN_2023-12-01_nrt.stac-item
2023-12-01 10:40:10	ga_s2am_ard_3-2-1_53LRH_2023-12-01_nrt.stac-item
2023-12-01 10:40:19	ga_s2am_ard_3-2-1_54LUM_2023-12-01_nrt.stac-item
2023-12-01 10:40:23	ga_s2am_ard_3-2-1_54LTM_2023-12-01_nrt.stac-item
2023-12-01 10:40:28	ga_s2am_ard_3-2-1_53LQG_2023-12-01_final.stac-item
2023-12-01 10:40:31	ga_s2am_ard_3-2-1_54LUL_2023-12-01_nrt.stac-item
2023-12-01 10:40:31	ga_s2am_ard_3-2-1_53LPG_2023-12-01_final.stac-item
2023-12-01 10:40:37	ga_s2am_ard_3-2-1_54LTL_2023-12-01_nrt.stac-item
2023-12-01 10:40:39	ga_s2am_ard_3-2-1_53LRF_2023-12-01_nrt.stac-item
2023-12-01 10:40:42	ga_s2am_ard_3-2-1_53LQF_2023-12-01_final.stac-item
2023-12-01 10:40:45	ga_s2am_ard_3-2-1_53LPF_2023-12-01_final.stac-item
2023-12-01 10:41:00	ga_s2am_ard_3-2-1_53LPE_2023-12-01_final.stac-item
2023-12-01 10:41:06	ga_s2am_ard_3-2-1_54LTJ_2023-12-01_nrt.stac-item
2023-12-01 10:41:07	ga_s2am_ard_3-2-1_53LRD_2023-12-01_nrt.stac-item
2023-12-01 10:41:11	ga_s2am_ard_3-2-1_53LQD_2023-12-01_final.stac-item
2023-12-01 10:41:15	ga_s2am_ard_3-2-1_53LPD_2023-12-01_final.stac-item
2023-12-01 10:41:21	ga_s2am_ard_3-2-1_54LTH_2023-12-01_final.stac-item
2023-12-01 10:41:22	ga_s2am_ard_3-2-1_53LND_2023-12-01_final.stac-item
2023-12-01 10:41:22	ga_s2am_ard_3-2-1_53LRC_2023-12-01_final.stac-item
2023-12-01 10:41:26	ga_s2am_ard_3-2-1_53LQC_2023-12-01_final.stac-item
2023-12-01 10:41:46	ga_s2am_ard_3-2-1_54KTF_2023-12-01_final.stac-item
2023-12-01 10:41:51	ga_s2am_ard_3-2-1_53KRA_2023-12-01_final.stac-item
2023-12-01 10:41:55	ga_s2am_ard_3-2-1_53KQA_2023-12-01_final.stac-item
2023-12-01 10:42:04	ga_s2am_ard_3-2-1_53KRV_2023-12-01_final.stac-item
2023-12-01 10:42:09	ga_s2am_ard_3-2-1_53KQV_2023-12-01_final.stac-item
2023-12-01 10:42:14	ga_s2am_ard_3-2-1_53KRU_2023-12-01_final.stac-item
2023-12-01 10:42:23	ga_s2am_ard_3-2-1_53KQU_2023-12-01_final.stac-item
2023-12-01 10:42:30	ga_s2am_ard_3-2-1_53KNU_2023-12-01_final.stac-item
2023-12-01 10:42:35	ga_s2am_ard_3-2-1_53KMU_2023-12-01_final.stac-item
2023-12-01 10:42:45	ga_s2am_ard_3-2-1_53KNT_2023-12-01_final.stac-item
2023-12-01 10:42:48	ga_s2am_ard_3-2-1_53KMT_2023-12-01_final.stac-item
2023-12-01 10:42:53	ga_s2am_ard_3-2-1_53KQS_2023-12-01_final.stac-item
2023-12-01 10:42:56	ga_s2am_ard_3-2-1_53KPS_2023-12-01_final.stac-item
2023-12-01 10:43:00	ga_s2am_ard_3-2-1_53KNS_2023-12-01_final.stac-item
2023-12-01 10:43:03	ga_s2am_ard_3-2-1_53KMS_2023-12-01_final.stac-item
2023-12-01 10:43:04	ga_s2am_ard_3-2-1_53KQR_2023-12-01_final.stac-item
2023-12-01 10:43:08	ga_s2am_ard_3-2-1_53KNS_2023-12-01_final.stac-item
2023-12-01 10:43:08	ga_s2am_ard_3-2-1_53KNR_2023-12-01_final.stac-item
2023-12-01 10:43:09	ga_s2am_ard_3-2-1_53KMS_2023-12-01_final.stac-item
2023-12-01 10:43:10	ga_s2am_ard_3-2-1_53KMR_2023-12-01_final.stac-item
2023-12-01 10:43:25	ga_s2am_ard_3-2-1_53KPQ_2023-12-01_final.stac-item
2023-12-01 10:43:29	ga_s2am_ard_3-2-1_53KNQ_2023-12-01_final.stac-item
2023-12-01 10:43:32	ga_s2am_ard_3-2-1_53KMQ_2023-12-01_final.stac-item
2023-12-01 10:43:37	ga_s2am_ard_3-2-1_53KLQ_2023-12-01_final.stac-item
2023-12-01 10:43:39	ga_s2am_ard_3-2-1_53KPP_2023-12-01_final.stac-item
2023-12-01 10:43:43	ga_s2am_ard_3-2-1_53KNP_2023-12-01_final.stac-item
2023-12-01 10:43:46	ga_s2am_ard_3-2-1_53KMP_2023-12-01_final.stac-item
2023-12-01 10:43:54	ga_s2am_ard_3-2-1_53JPN_2023-12-01_final.stac-item
2023-12-01 10:44:04	ga_s2am_ard_3-2-1_53JLN_2023-12-01_final.stac-item
2023-12-01 10:44:08	ga_s2am_ard_3-2-1_53JPM_2023-12-01_final.stac-item
2023-12-01 10:44:12	ga_s2am_ard_3-2-1_53JNM_2023-12-01_final.stac-item
2023-12-01 10:44:16	ga_s2am_ard_3-2-1_53JMM_2023-12-01_final.stac-item
2023-12-01 10:44:19	ga_s2am_ard_3-2-1_53JLM_2023-12-01_final.stac-item
2023-12-01 10:44:26	ga_s2am_ard_3-2-1_53JNL_2023-12-01_final.stac-item
2023-12-01 10:44:30	ga_s2am_ard_3-2-1_53JML_2023-12-01_final.stac-item
2023-12-01 10:44:33	ga_s2am_ard_3-2-1_53JLL_2023-12-01_final.stac-item
2023-12-01 10:44:40	ga_s2am_ard_3-2-1_53JKL_2023-12-01_final.stac-item
2023-12-01 10:44:48	ga_s2am_ard_3-2-1_53JLK_2023-12-01_final.stac-item
2023-12-01 10:44:51	ga_s2am_ard_3-2-1_53JKK_2023-12-01_final.stac-item
2023-12-01 10:45:02	ga_s2am_ard_3-2-1_53JLJ_2023-12-01_final.stac-item
2023-12-01 10:45:05	ga_s2am_ard_3-2-1_53JKJ_2023-12-01_final.stac-item
2023-12-01 10:45:07	ga_s2am_ard_3-2-1_53JNH_2023-12-01_final.stac-item
2023-12-01 10:45:09	ga_s2am_ard_3-2-1_53JMH_2023-12-01_final.stac-item
2023-12-01 10:45:11	ga_s2am_ard_3-2-1_53JLH_2023-12-01_final.stac-item
2023-12-01 10:45:11	ga_s2am_ard_3-2-1_53JLJ_2023-12-01_final.stac-item
2023-12-01 10:45:12	ga_s2am_ard_3-2-1_53JKH_2023-12-01_final.stac-item
2023-12-01 10:45:14	ga_s2am_ard_3-2-1_53JNH_2023-12-01_final.stac-item
2023-12-01 10:45:16	ga_s2am_ard_3-2-1_53JMH_2023-12-01_final.stac-item
2023-12-01 10:45:20	ga_s2am_ard_3-2-1_53JKH_2023-12-01_final.stac-item
2023-12-01 10:45:33	ga_s2am_ard_3-2-1_53JNF_2023-12-01_final.stac-item
2023-12-01 10:45:43	ga_s2am_ard_3-2-1_53JMF_2023-12-01_final.stac-item
2023-12-01 10:45:46	ga_s2am_ard_3-2-1_53JLF_2023-12-01_final.stac-item
2023-12-01 10:45:49	ga_s2am_ard_3-2-1_53JKF_2023-12-01_final.stac-item
2023-12-01 10:45:51	ga_s2am_ard_3-2-1_52JGL_2023-12-01_final.stac-item
2023-12-01 10:45:57	ga_s2am_ard_3-2-1_53HME_2023-12-01_final.stac-item
2023-12-01 10:46:01	ga_s2am_ard_3-2-1_53HLE_2023-12-01_final.stac-item
2023-12-01 10:46:04	ga_s2am_ard_3-2-1_53HKE_2023-12-01_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

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