Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313532301> ?p ?o ?g. }
- W4313532301 endingPage "184" @default.
- W4313532301 startingPage "153" @default.
- W4313532301 abstract "The application of precision agriculture requires the estimation of space-time variability at a very fine scale. A very wide variety of both remote and proximal sensors is used to supplement the sparse information from sampling. However, this poses problems for the joint analysis of an often huge amount of data with different characteristics. Geostatistical principles to data fusion of heterogeneous spatial data are illustrated. A detailed geostatistical approach to data fusion is also described followed by application to a real case. Finally, in remote sensing, the SAR/optical data fusion techniques will be shown highlighting their uniqueness. In the last decade, SAR/optical data fusion has gained a new impetus, mainly due to two important developments: firstly, the increasing availability of imagery with high spatial and spectral resolution and the global mapping of the Earth’s surface; secondly, the implementation of new international space missions with the launch of SAR and optical sensors such as ESA’s Copernicus program." @default.
- W4313532301 created "2023-01-06" @default.
- W4313532301 creator A5040197484 @default.
- W4313532301 creator A5040857506 @default.
- W4313532301 date "2023-01-01" @default.
- W4313532301 modified "2023-10-12" @default.
- W4313532301 title "Data Fusion in a Data-Rich Era" @default.
- W4313532301 cites W1512310776 @default.
- W4313532301 cites W1631122009 @default.
- W4313532301 cites W1965813619 @default.
- W4313532301 cites W1966589748 @default.
- W4313532301 cites W1976044762 @default.
- W4313532301 cites W1984260819 @default.
- W4313532301 cites W1985026434 @default.
- W4313532301 cites W1988210283 @default.
- W4313532301 cites W1992054832 @default.
- W4313532301 cites W1999719680 @default.
- W4313532301 cites W2005697477 @default.
- W4313532301 cites W2008575896 @default.
- W4313532301 cites W2020651722 @default.
- W4313532301 cites W2032728795 @default.
- W4313532301 cites W2039722820 @default.
- W4313532301 cites W2053185220 @default.
- W4313532301 cites W2058860308 @default.
- W4313532301 cites W2068381486 @default.
- W4313532301 cites W2074319623 @default.
- W4313532301 cites W2075512496 @default.
- W4313532301 cites W2083248507 @default.
- W4313532301 cites W2093608156 @default.
- W4313532301 cites W2094089326 @default.
- W4313532301 cites W2104794450 @default.
- W4313532301 cites W2105090634 @default.
- W4313532301 cites W2114122776 @default.
- W4313532301 cites W2117412445 @default.
- W4313532301 cites W2133297572 @default.
- W4313532301 cites W2136316201 @default.
- W4313532301 cites W2136401825 @default.
- W4313532301 cites W2157171484 @default.
- W4313532301 cites W2157494358 @default.
- W4313532301 cites W2164397352 @default.
- W4313532301 cites W2290479254 @default.
- W4313532301 cites W2315258102 @default.
- W4313532301 cites W2339194832 @default.
- W4313532301 cites W2504996430 @default.
- W4313532301 cites W2509244836 @default.
- W4313532301 cites W2556035742 @default.
- W4313532301 cites W2772753146 @default.
- W4313532301 cites W2795018073 @default.
- W4313532301 cites W2799973659 @default.
- W4313532301 cites W2804309140 @default.
- W4313532301 cites W2809262461 @default.
- W4313532301 cites W2887311010 @default.
- W4313532301 cites W2896372433 @default.
- W4313532301 cites W2908425029 @default.
- W4313532301 cites W2956697767 @default.
- W4313532301 cites W2957300797 @default.
- W4313532301 cites W2968237131 @default.
- W4313532301 cites W2969933026 @default.
- W4313532301 cites W2979580893 @default.
- W4313532301 cites W2986855020 @default.
- W4313532301 cites W2987459872 @default.
- W4313532301 cites W3080231369 @default.
- W4313532301 cites W3081362132 @default.
- W4313532301 cites W3088154325 @default.
- W4313532301 cites W3120996441 @default.
- W4313532301 cites W313073531 @default.
- W4313532301 cites W4210993920 @default.
- W4313532301 cites W4229875153 @default.
- W4313532301 cites W4232030596 @default.
- W4313532301 cites W4232329630 @default.
- W4313532301 cites W4237755889 @default.
- W4313532301 cites W4251046308 @default.
- W4313532301 cites W4255160927 @default.
- W4313532301 cites W4255780614 @default.
- W4313532301 doi "https://doi.org/10.1007/978-3-031-15258-0_7" @default.
- W4313532301 hasPublicationYear "2023" @default.
- W4313532301 type Work @default.
- W4313532301 citedByCount "0" @default.
- W4313532301 crossrefType "book-chapter" @default.
- W4313532301 hasAuthorship W4313532301A5040197484 @default.
- W4313532301 hasAuthorship W4313532301A5040857506 @default.
- W4313532301 hasConcept C115961682 @default.
- W4313532301 hasConcept C127413603 @default.
- W4313532301 hasConcept C146978453 @default.
- W4313532301 hasConcept C154945302 @default.
- W4313532301 hasConcept C19269812 @default.
- W4313532301 hasConcept C205649164 @default.
- W4313532301 hasConcept C2778755073 @default.
- W4313532301 hasConcept C33954974 @default.
- W4313532301 hasConcept C39399123 @default.
- W4313532301 hasConcept C41008148 @default.
- W4313532301 hasConcept C58640448 @default.
- W4313532301 hasConcept C62649853 @default.
- W4313532301 hasConcept C69744172 @default.
- W4313532301 hasConceptScore W4313532301C115961682 @default.
- W4313532301 hasConceptScore W4313532301C127413603 @default.
- W4313532301 hasConceptScore W4313532301C146978453 @default.
- W4313532301 hasConceptScore W4313532301C154945302 @default.