23,99 €
inkl. MwSt.
Versandfertig in 6-10 Tagen
12 °P sammeln
Andere Kunden interessierten sich auch für
![Textural Analysis & Heavy Mineral Distribution of Coastal Sands]( "Textural Analysis & Heavy Mineral Distribution of Coastal Sands")
Textural Analysis & Heavy Mineral Distribution of Coastal Sands26,99 €![Geomorphic Criteria for Active Fault Mapping]( "Geomorphic Criteria for Active Fault Mapping")
Geomorphic Criteria for Active Fault Mapping26,99 €![Mineral Dusts and Health]( "Mineral Dusts and Health")
Mineral Dusts and Health48,99 €![Using of GIS and Remote Sensing data for identification the phenomena]( "Using of GIS and Remote Sensing data for identification the phenomena")
Using of GIS and Remote Sensing data for identification the phenomena23,99 €![Geospatial Monitoring and Mapping of Sinkholes from YSR District India]( "Geospatial Monitoring and Mapping of Sinkholes from YSR District India")
Geospatial Monitoring and Mapping of Sinkholes from YSR District India26,99 €![Geographic Data Science with Python]( "Geographic Data Science with Python")
Geographic Data Science with Python223,99 €![Uranium Deposits of Ukraine: Geology, Mineralogy, and Mining Aspects]( "Uranium Deposits of Ukraine: Geology, Mineralogy, and Mining Aspects")
Uranium Deposits of Ukraine: Geology, Mineralogy, and Mining Aspects16,99 €
Hyperspectral remote sensing is an emerging tool suited for the detection of target resources. It can distinguish the target resources by narrow spectral features. The hyperspectral sensors are mainly categorized into two types; they are airborne sensors and space-borne sensors. This book provides the information regarding comparison between air-borne & space-borne sensors for mineral identification.