|
SPECTRAL CHARACTERISTICS OF GROUPS AND TYPES OF LANDS, CONSTRUCTED BY AVERAGIN LONG-TERM SERIES OF VEGETATION INDECES
|
|
|
Dmitry Borshchev; Dmitry Rukhovich; Vasily Rashkovich
|
|
|
||
|
10.5593/sgem2024/3.1
|
|
|
1314-2704
|
|
|
||
|
English
|
|
|
24
|
|
|
3.1
|
|
|
• Prof. DSc. Oleksandr Trofymchuk, UKRAINE
• Prof. Dr. hab. oec. Baiba Rivza, LATVIA |
|
|
||
|
The optimal solution of intensification and ecologisation of agricultural production is achieved in adaptive-landscape farming systems. To solve the problems of adaptive landscape agriculture, classical methods of soil-landscape mapping and new methods of remote diagnostics of intra-field heterogeneity were combined to identify features that will further improve the efficiency of producing maps of groups and types of land and increase their accuracy. Identification of the spectral characteristics of groups and types of land has become possible due to neural network filtering of big remote sensing data. By intersecting the map of groups and types of lands with the bare soil surface map in geographical information systems, the median values of the ‘C’ coefficient for different land groups and types were calculated. Each agroecological group of lands has its own spectral characteristics, which are influenced by the granulometric composition, moisture regime and humus content. It was established for the first time that groups of lands differing in productivity have different reflectivity. Differences in spectral characteristics of land groups can be used for their remote diagnostics, quantitative assessment, and design of systems to improve low-productive areas.
|
|
|
||
|
conference
|
|
|
||
|
||
|
Proceedings of 24th International Multidisciplinary Scientific GeoConference SGEM 2024
|
|
|
24th International Multidisciplinary Scientific GeoConference SGEM 2024, 1 - 07 July, 2024
|
|
|
Proceedings Paper
|
|
|
STEF92 Technology
|
|
|
International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
|
|
|
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
|
|
|
313-320
|
|
|
1 - 07 July, 2024
|
|
|
website
|
|
|
|
|
|
9704
|
|
|
digital soil mapping, remote sensing data, neural network, multi-temporal soil line, adaptive-landscape farming.
|
|