FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1595892362> ?p ?o ?g. }

• W1595892362 abstract "This chapter focuses on using small low-cost unmanned aircraft systems (UAS) for remote sensing of meteorological and related conditions over agricultural fields or environmentally important land areas. Small UAS, including unmanned aerial vehicle (UAV) and ground devices, have many advantages in remote sensing applications over traditional aircraftor satellite-based platforms or ground-based probes for many applications. This is because small UAVs are easy tomanipulate, cheap tomaintain, and remove the need for human pilots to perform tedious or dangerous jobs. Multiple small UAVs can be flown in a group and complete challenging tasks such as real-time mapping of large-scale agriculture areas. The purpose of remote sensing is to acquire information about the Earth’s surface without coming into contact with it. One objective of remote sensing is to characterize the electromagnetic radiation emitted by objects (James, 2006). Typical divisions of the electromagnetic spectrum include the visible light band (380− 720nm), near infrared (NIR) band (0.72− 1.30μm), and mid-infrared (MIR) band (1.30− 3.00μm). Band-reconfigurable imagers can generate several images from different bands ranging from visible spectra to infra-red or thermal based for various applications. The advantage of an ability to examine different bands is that different combinations of spectral bands can have different purposes. For example, the combination of red-infrared can be used to detect vegetation and camouflage and the combination of red slope can be used to estimate the percent of vegetation cover (Johnson et al., 2004). Different bands of images acquired remotely through UAS could be used in scenarios like water management and irrigation control. In fact, it is difficult to sense and estimate the state of water systems because most water systems are large-scale and need monitoring of many factors including the quality, quantity, and location of water, soil and vegetations. For the mission of accurate sensing of a water system, ground probe stations are expensive to build and can only provide data with very limited sensing range (at specific positions and second level temporal resolution). Satellite photos can cover a large area, but have a low resolution and a slow update rate (30-250 meter or lower spatial resolution and week level temporal resolution). Small UAVs cost less money but can provide more accurate information (meter or centimeter spatial" @default.
• W1595892362 created "2016-06-24" @default.
• W1595892362 creator A5001813675 @default.
• W1595892362 creator A5049221376 @default.
• W1595892362 creator A5057060512 @default.
• W1595892362 creator A5057089451 @default.
• W1595892362 creator A5068364079 @default.
• W1595892362 date "2009-10-01" @default.
• W1595892362 modified "2023-09-23" @default.
• W1595892362 title "AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems" @default.
• W1595892362 cites W1539158851 @default.
• W1595892362 cites W1599317109 @default.
• W1595892362 cites W1998902551 @default.
• W1595892362 cites W2041000168 @default.
• W1595892362 cites W2057269194 @default.
• W1595892362 cites W2063695303 @default.
• W1595892362 cites W2095641684 @default.
• W1595892362 cites W2099887998 @default.
• W1595892362 cites W2111038353 @default.
• W1595892362 cites W2123656427 @default.
• W1595892362 cites W2138516781 @default.
• W1595892362 cites W2140053007 @default.
• W1595892362 cites W2149858807 @default.
• W1595892362 cites W2164357524 @default.
• W1595892362 cites W2321188108 @default.
• W1595892362 cites W2340693201 @default.
• W1595892362 cites W2570913949 @default.
• W1595892362 cites W2338200000 @default.
• W1595892362 doi "https://doi.org/10.5772/8333" @default.
• W1595892362 hasPublicationYear "2009" @default.
• W1595892362 type Work @default.
• W1595892362 sameAs 1595892362 @default.
• W1595892362 citedByCount "12" @default.
• W1595892362 countsByYear W15958923622012 @default.
• W1595892362 countsByYear W15958923622013 @default.
• W1595892362 countsByYear W15958923622014 @default.
• W1595892362 countsByYear W15958923622015 @default.
• W1595892362 countsByYear W15958923622017 @default.
• W1595892362 crossrefType "book-chapter" @default.
• W1595892362 hasAuthorship W1595892362A5001813675 @default.
• W1595892362 hasAuthorship W1595892362A5049221376 @default.
• W1595892362 hasAuthorship W1595892362A5057060512 @default.
• W1595892362 hasAuthorship W1595892362A5057089451 @default.
• W1595892362 hasAuthorship W1595892362A5068364079 @default.
• W1595892362 hasBestOaLocation W15958923621 @default.
• W1595892362 hasConcept C127313418 @default.
• W1595892362 hasConcept C127413603 @default.
• W1595892362 hasConcept C146978453 @default.
• W1595892362 hasConcept C154945302 @default.
• W1595892362 hasConcept C173163844 @default.
• W1595892362 hasConcept C201995342 @default.
• W1595892362 hasConcept C41008148 @default.
• W1595892362 hasConcept C62649853 @default.
• W1595892362 hasConceptScore W1595892362C127313418 @default.
• W1595892362 hasConceptScore W1595892362C127413603 @default.
• W1595892362 hasConceptScore W1595892362C146978453 @default.
• W1595892362 hasConceptScore W1595892362C154945302 @default.
• W1595892362 hasConceptScore W1595892362C173163844 @default.
• W1595892362 hasConceptScore W1595892362C201995342 @default.
• W1595892362 hasConceptScore W1595892362C41008148 @default.
• W1595892362 hasConceptScore W1595892362C62649853 @default.
• W1595892362 hasLocation W15958923621 @default.
• W1595892362 hasLocation W15958923622 @default.
• W1595892362 hasOpenAccess W1595892362 @default.
• W1595892362 hasPrimaryLocation W15958923621 @default.
• W1595892362 hasRelatedWork W2047232586 @default.
• W1595892362 hasRelatedWork W2057962381 @default.
• W1595892362 hasRelatedWork W2133125644 @default.
• W1595892362 hasRelatedWork W2133144887 @default.
• W1595892362 hasRelatedWork W2139294397 @default.
• W1595892362 hasRelatedWork W2145982493 @default.
• W1595892362 hasRelatedWork W2776398399 @default.
• W1595892362 hasRelatedWork W2905390890 @default.
• W1595892362 hasRelatedWork W2912130932 @default.
• W1595892362 hasRelatedWork W2960267326 @default.
• W1595892362 isParatext "false" @default.
• W1595892362 isRetracted "false" @default.
• W1595892362 magId "1595892362" @default.
• W1595892362 workType "book-chapter" @default.