Remote sensing vs. field-based monitoring of agricultural terrace degradation

被引:24
|
作者
Pijl, Anton [1 ]
Quarella, Edoardo [1 ]
Vogel, Teun A. [2 ]
D'Agostino, Vincenzo [1 ]
Tarolli, Paolo [1 ]
机构
[1] Univ Padua, Dept Land Environm Agr & Forestry, Viale Univ 16, I-35020 Legnaro, PD, Italy
[2] Wageningen Univ, Soil Phys & Land Management Grp, Droevendaalsesteeg 4, NL-6708 PB Wageningen, Netherlands
关键词
Agricultural terraces; Remote sensing; UAV; Soil moisture; Land degradation; SOIL-EROSION; CHANGE PROJECTIONS; OPPORTUNITIES; METAANALYSIS; VINEYARDS; FAILURE; SYSTEMS; LOSSES; RUNOFF; EUROPE;
D O I
10.1016/j.iswcr.2020.09.001
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The degradation of agricultural terraces is considered a major challenge to soil and water conservation in steep-slope viticulture. Although terracing is a widespread conservation practice, its sustainability is threatened by adverse climatic and man-made conditions. Previous studies have shown the impact of terrace designs on the formation of runoff pathways, causing degradation processes on terrace platforms (e.g. sheet erosion) and walls (e.g. piping, landslides, collapse). This study evaluates a remote sensing versus a field-based approach to monitor hydrological processes responsible for terrace degradation, as tested in a north-Italian vineyard. The field-based approach was based on spatially measured Soil Moisture Content (SMC) using a Time Domain Reflectometry (TDR) instrument, which clearly revealed saturation hotspots around two damaged terraces in the study area. Moreover, these zones showed a particular cross-sectional SMC profile, with the highest saturation close to the terrace platform edges. The remote sensing approach was based on aerial imagery acquired by an Unmanned Aerial Vehicle (UAV) and photogrammetric reconstruction of the vineyard geomorphology, allowing terrain-based analysis and physical erosion modelling. In this approach, simulations indicated that terrace damages could be partly explained by the formation of preferential runoff pathways caused by the terrace design. This parallel methodology allowed a comparison of the merits and limitations of either approach, as done in light of published work. The occurrence of two SMC hotspots at terrace edges (and their non-typical cross-sectional profiles) could be better understood from simulated surface flow paths. While the causal relationship between heterogeneous soil saturation and terrace instability has been previously reported in literature, the novelty of the presented study is the use of topsoil SMC as an indicator of potential damages, favouring the scalability compared to fixed, local and often intrusive terrace sub-surface experiments. Remote sensing based approaches, however, tend to offer the most time-efficient solution on larger scales, and aerial acquisition of SMC distribution could thus potentially offer a powerful integrated methodology. (C) 2020 International Research and Training Center on Erosion and Sedimentation and China Water and Power Press. Production and Hosting by Elsevier B.V.
引用
收藏
页码:1 / 10
页数:10
相关论文
共 50 条
  • [1] Field-based multiangular remote sensing for plant stress monitoring
    Casa, R
    Jones, HG
    [J]. PRECISION AGRICULTURE, 2003, : 109 - 114
  • [2] Potential utilization of satellite remote sensing for field-based agricultural studies
    Jindo, Keiji
    Kozan, Osamu
    Iseki, Kohtaro
    Maestrini, Bernardo
    van Evert, Frits K.
    Wubengeda, Yilma
    Arai, Egidio
    Shimabukuro, Yosio Edemir
    Sawada, Yoshito
    Kempenaar, Corne
    [J]. CHEMICAL AND BIOLOGICAL TECHNOLOGIES IN AGRICULTURE, 2021, 8 (01)
  • [3] Potential utilization of satellite remote sensing for field-based agricultural studies
    Keiji Jindo
    Osamu Kozan
    Kohtaro Iseki
    Bernardo Maestrini
    Frits K. van Evert
    Yilma Wubengeda
    Egidio Arai
    Yosio Edemir Shimabukuro
    Yoshito Sawada
    Corné Kempenaar
    [J]. Chemical and Biological Technologies in Agriculture, 8
  • [4] Editorial: Remote sensing for field-based crop phenotyping
    Liu, Jiangang
    Zhou, Zhenjiang
    Li, Bo
    [J]. FRONTIERS IN PLANT SCIENCE, 2024, 15
  • [5] Monitoring of agricultural soil degradation by remote-sensing methods: a review
    Shoshany, Maxim
    Goldshleger, Naftaly
    Chudnovsky, Alexandra
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2013, 34 (17) : 6152 - 6181
  • [6] Proximal Remote Sensing Buggies and Potential Applications for Field-Based Phenotyping
    Deery, David
    Jimenez-Berni, Jose
    Jones, Hamlyn
    Sirault, Xavier
    Furbank, Robert
    [J]. AGRONOMY-BASEL, 2014, 4 (03): : 349 - 379
  • [7] Spatial variation of chlorophyll on estuarine mudflats determined by field-based remote sensing
    Murphy, R. J.
    Tolhurst, T. J.
    Chapman, M. G.
    Underwood, A. J.
    [J]. MARINE ECOLOGY PROGRESS SERIES, 2008, 365 : 45 - 55
  • [8] Field-based remote sensing models predict radiation use efficiency in wheat
    Robles-Zazueta, Carlos A.
    Molero, Gemma
    Pinto, Francisco
    Foulkes, M. John
    Reynolds, Matthew P.
    Murchie, Erik H.
    [J]. JOURNAL OF EXPERIMENTAL BOTANY, 2021, 72 (10) : 3756 - 3773
  • [9] Evaluating Seagrass Meadow Dynamics by Integrating Field-Based and Remote Sensing Techniques
    Ivajnsic, Danijel
    Orlando-Bonaca, Martina
    Donsa, Dasa
    Grujic, Veno Jasa
    Trkov, Domen
    Mavric, Borut
    Lipej, Lovrenc
    [J]. PLANTS-BASEL, 2022, 11 (09):
  • [10] Investigating Banksia Coastal Woodland Decline Using Multi-Temporal Remote Sensing and Field-Based Monitoring Techniques
    Bell, Rose-Anne
    Callow, J. Nikolaus
    [J]. REMOTE SENSING, 2020, 12 (04)