Field-scale electrical resistivity profiling mapping for delineating soil condition in a nitrate vulnerable zone

被引:14
|
作者
Cillis, Donato [1 ]
Pezzuolo, Andrea [1 ]
Marinello, Francesco [1 ]
Sartori, Luigi [1 ]
机构
[1] Univ Padua, Dept Agroforesty & Landscape, Viale Univ 16, I-35020 Legnaro, PD, Italy
关键词
Spatial variability; Site-specific management; Electrical resistivity mapping; Soil condition; Productive potential; PRECISION AGRICULTURE; PHYSICAL-PROPERTIES; YIELD; CONDUCTIVITY; TOOL; CONSERVATION; TILLAGE; PATTERN; MAIZE;
D O I
10.1016/j.apsoil.2017.06.025
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
Venice Lagoon is an extremely heterogeneous environment conditioned by natural changes and anthropogenic pressures. The area is a particularly vulnerable system characterized by high spatial geomorphological variability. Site-specific crop management, defined as the best strategies to manage heterogeneous farmlands, has the potential to maximize agricultural production while preserving soil and water resources. This work was aimed at identifying and characterizing spatial variability within the fields in terms of soil fertility and productive potential using precision agriculture principles. Automatic resistivity profiling (ARP) was implemented to study spatial variability of the field and to define the best localization of twenty soil sampling points. Three years' historical yield maps were used to determine homogeneous zones within the study area. The application of a fuzzy c-means clustering algorithm led to classification of four homogeneous zones, which were assigned with productive potentials using an ANOVA test of soil features and historical yield data. Such classification was validated by a comparison of the homogeneous zone's productive potential with five-year average production.
引用
收藏
页码:780 / 786
页数:7
相关论文
共 46 条
  • [41] Field-Scale Mapping of Soil Carbon Stock with Limited Sampling by Coupling Gamma-Ray and Vis-NIR Spectroscopy
    Priori, Simone
    Fantappie, Maria
    Bianconi, Nadia
    Ferrigno, Giuseppe
    Pellegrini, Sergio
    Costantini, Edoardo A. C.
    SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 2016, 80 (04) : 954 - 964
  • [42] Mapping of soil moisture by time domain reflectometry and electrical resistivity tomography at Velika Gorica well field, Zagreb aquifer
    Bacani, Laura
    Posavec, Kristijan
    Sumanovac, Franjo
    Kapuralic, Josipa
    GEOFIZIKA, 2022, 39 (02) : 281 - 296
  • [43] Comparison between thermal airborne remote sensing, multi-depth electrical resistivity profiling, and soil mapping: an example from Beauce (Loiret, France)
    Pasquier, Catherine
    Bourennane, Hocine
    Cousin, Isabelle
    Seger, Maud
    Dabas, Michel
    Thiesson, Julien
    Tabbagh, Alain
    NEAR SURFACE GEOPHYSICS, 2016, 14 (04) : 345 - 356
  • [45] Long-term analysis of soil water regime and nitrate dynamics at agricultural experimental site: Field-scale monitoring and numerical modeling using HYDRUS-1D
    Krevh, Vedran
    Filipovic, Lana
    Petosic, Dragutin
    Mustac, Ivan
    Bogunovic, Igor
    Butorac, Jasminka
    Kisic, Ivica
    Defterdarovic, Jasmina
    Nakic, Zoran
    Kovac, Zoran
    Pereira, Paulo
    He, Hailong
    Chen, Rui
    Toor, Gurpal S.
    Versini, Antoine
    Baumgartl, Thomas
    Filipovic, Vilim
    AGRICULTURAL WATER MANAGEMENT, 2023, 275
  • [46] Analysis and mapping of field-scale soil moisture variability using high-resolution, ground-based data during the Southern Great Plains 1997 (SGP97) Hydrology Experiment
    Mohanty, BP
    Skaggs, TH
    Famiglietti, JS
    WATER RESOURCES RESEARCH, 2000, 36 (04) : 1023 - 1031