OBIA-Based Extraction of Artificial Terrace Damages in the Loess Plateau of China from UAV Photogrammetry

Terraces, which are typical artificial landforms found around world, are of great importance for agricultural production and soil and water conservation. However, due to the lack of maintenance, terrace damages often occur and affect the local flow process, which will influence soil erosion. Automatic high-accuracy mapping of terrace damages is the basis of monitoring and related studies. Researchers have achieved artificial terrace damage mapping mainly via manual field investigation, but an automatic method is still lacking. In this study, given the success of high-resolution unmanned aerial vehicle (UAV) photogrammetry and object-based image analysis (OBIA) for image processing tasks, an integrated framework based on OBIA and UAV photogrammetry is proposed for terrace damage mapping. The Pujiawa terrace in the Loess Plateau of China was selected as the study area. Firstly, the segmentation process was optimised by considering the spectral features and the terrains and corresponding textures obtained from high-resolution images and digital surface models. The feature selection was implemented via correlation analysis, and the optimised segmentation parameter was achieved using the estimation of scale parameter algorithm. Then, a supervised k-nearest neighbourhood classifier was used to identify the terrace damages in the segmented objects, and additional geometric features at the object level were considered for classification. The comparison with the ground truth, as delineated by the image and field survey, showed that proposed classification can be adequately performed. The F-measures of extraction on three terrace damages were 92.07% (terrace sinkhole), 81.95% (ridge sinkhole), and 85.17% (collapse), and the Kappa coefficient was 85.34%. Finally, the potential application and spatial distribution of the terrace damages in this study were determined. We believe that this work can provide a credible framework for mapping terrace damages in the Loess Plateau of China.

[1]  B. Fu,et al.  Trade-offs between local farmers' demand for ecosystem services and ecological restoration of the Loess Plateau, China , 2021, Ecosystem Services.

[2]  Noemí Lana-Renault,et al.  Hydro-geomorphological consequences of the abandonment of agricultural terraces in the Mediterranean region: Key controlling factors and landscape stability patterns , 2019, Geomorphology.

[3]  Chen Zhao,et al.  RUNOFF AND SEDIMENT FROM ORCHARD TERRACES IN SOUTHEASTERN CHINA , 2014 .

[4]  Dirk Tiede,et al.  ESP: a tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data , 2010, Int. J. Geogr. Inf. Sci..

[5]  Emanuele Frontoni,et al.  Hybrid object-based approach for land use/land cover mapping using high spatial resolution imagery , 2011, Int. J. Geogr. Inf. Sci..

[6]  F. Luino,et al.  Terraced Landscapes on Portofino Promontory (Italy): Identification, Geo-Hydrological Hazard and Management , 2020, Water.

[7]  Cezary Specht,et al.  Using UAV Photogrammetry to Analyse Changes in the Coastal Zone Based on the Sopot Tombolo (Salient) Measurement Project , 2020, Sensors.

[8]  L. H. Cammeraat,et al.  Erosion and terrace failure due to agricultural land abandonment in a semi‐arid environment , 2008 .

[9]  Mariana Belgiu,et al.  Random forest in remote sensing: A review of applications and future directions , 2016 .

[10]  Y. Lü,et al.  Assessing the soil erosion control service of ecosystems change in the Loess Plateau of China , 2011 .

[11]  Thomas Blaschke,et al.  Object based image analysis for remote sensing , 2010 .

[12]  Mohamed Sultan,et al.  The geomorphological evidences of subsidence in the Nile Delta: Analysis of high resolution topographic DEM and multi-temporal satellite images , 2017 .

[13]  A. Gravagnuolo,et al.  Terraced Landscapes Regeneration in the Perspective of the Circular Economy , 2021, Sustainability.

[14]  Ping Wang,et al.  [Regulation effects of reverse-slope level terrace on the runoff and sediment yield in sloping farmland]. , 2011, Ying yong sheng tai xue bao = The journal of applied ecology.

[15]  Qinke Yang,et al.  Assessment of the Soil Erosion Response to Land Use and Slope in the Loess Plateau—A Case Study of Jiuyuangou , 2020, Water.

[16]  K. Schilling,et al.  Water and nutrient discharge to a high‐value terrace–floodplain fen: resilience and risk , 2016 .

[17]  I. Stavi,et al.  Collapse and failure of ancient agricultural stone terraces: On-site geomorphic processes, pedogenic mechanisms, and soil quality , 2019, Geoderma.

[18]  G. Sterk,et al.  Effectiveness of sustainable land management measures in West Usambara highlands, Tanzania , 2014 .

[19]  E. Rotigliano,et al.  Using topographical attributes to evaluate gully erosion proneness (susceptibility) in two mediterranean basins: advantages and limitations , 2015, Natural Hazards.

[20]  A. van Dijk,et al.  Measurements of rain splash on bench terraces in a humid tropical steepland environment , 2003 .

[21]  T. Kizos,et al.  Farmers’ attitudes and landscape change: evidence from the abandonment of terraced cultivations on Lesvos, Greece , 2010 .

[22]  Chenguang Xu,et al.  Attitudes of farmers in China's northern Shaanxi Province towards the land-use changes required under the Grain for Green Project, and implications for the project's success , 2009 .

[23]  The Impacts of Temporary Labour Migration on Farming Systems of the Loess Plateau, Gansu Province, China , 2014 .

[24]  Hu Ding,et al.  Detection of Catchment-Scale Gully-Affected Areas Using Unmanned Aerial Vehicle (UAV) on the Chinese Loess Plateau , 2016, ISPRS Int. J. Geo Inf..

[25]  Shuai Wang,et al.  Hydrogeomorphic Ecosystem Responses to Natural and Anthropogenic Changes in the Loess Plateau of China , 2017 .

[26]  Norbert Pfeifer,et al.  UAV-Based Terrain Modeling under Vegetation in the Chinese Loess Plateau: A Deep Learning and Terrain Correction Ensemble Framework , 2020, Remote. Sens..

[27]  T. Terkenli,et al.  The Challenge of Tourism in Terraced Landscapes , 2018, Environmental History.

[28]  R. C. Frohn,et al.  Segmentation and object-oriented classification of wetlands in a karst Florida landscape using multi-season Landsat-7 ETM+ imagery , 2011 .

[29]  Norbert Pfeifer,et al.  Object‐based large‐scale terrain classification combined with segmentation optimization and terrain features: A case study in China , 2021, Trans. GIS.

[30]  S. M. Jong,et al.  Mapping landslide displacements using Structure from Motion (SfM) and image correlation of multi-temporal UAV photography , 2014 .

[31]  V. Tofani,et al.  Multitemporal UAV surveys for landslide mapping and characterization , 2018, Landslides.

[32]  Irene Marzolff,et al.  Unmanned Aerial Vehicle (UAV) for Monitoring Soil Erosion in Morocco , 2012, Remote. Sens..

[33]  A. Szynkiewicz,et al.  Function of Agricultural Terraces in Mediterranean Conditions - Selected Examples From the Island of Ikaria (The Southern Sporades, Greece) , 2011 .

[34]  M. C. Ramos,et al.  Effects of land terracing on soil properties in the Priorat region in Northeastern Spain: A multivariate analysis , 2007 .

[35]  Xiang Zhang,et al.  Quantitative study on influences of terraced field construction and check-dam siltation on soil erosion , 2012, Journal of Geographical Sciences.

[36]  Josef Strobl,et al.  Deep learning-based approach for landform classification from integrated data sources of digital elevation model and imagery , 2020, Geomorphology.

[37]  Bojie Fu,et al.  Soil erosion and its control in the loess plateau of China , 1989 .

[38]  Geoffrey M. Smith,et al.  Introduction to object-based landscape analysis , 2011, Int. J. Geogr. Inf. Sci..

[39]  M. Sabir.  The Terraces of the Anti-Atlas: From Abandonment to the Risk of Degradation of a Landscape Heritage , 2021, Water.

[40]  Nunzio Romano,et al.  Terraced landscapes: From an old best practice to a potential hazard for soil degradation due to land abandonment , 2014 .

[41]  Jiaming Na,et al.  Evaluation of Three Different Machine Learning Methods for Object-Based Artificial Terrace Mapping - A Case Study of the Loess Plateau, China , 2021, Remote. Sens..

[42]  I. Colomina,et al.  Unmanned aerial systems for photogrammetry and remote sensing: A review , 2014 .

[43]  Ugur Avdan,et al.  Mapping of shallow landslides with object-based image analysis from unmanned aerial vehicle data , 2019, Engineering Geology.

[44]  Yang You-jieHU Wen-yingSU Shao-hua Jiao Yuan-mei.  Analysis of the landscape pattern and aesthetic characteristics of the Hani terraced fields , 2006 .

[45]  Norman Kerle,et al.  Object-based gully feature extraction using high spatial resolution imagery , 2011 .

[46]  Bin Zhang,et al.  May agricultural terraces induce gully erosion? A case study from the Black Soil Region of Northeast China. , 2020, The Science of the total environment.

[47]  Fang Qiu,et al.  Optimized Segmentation Based on the Weighted Aggregation Method for Loess Bank Gully Mapping , 2020, Remote. Sens..

[48]  Zhu Axing,et al.  An Object-based Approach for Two-level Gully Feature Mapping Using High-resolution DEM and Imagery: A Case Study on Hilly Loess Plateau Region, China , 2017 .

[49]  Xiuhua Liu,et al.  Influence of land terracing on agricultural and ecological environment in the loess plateau regions of China , 2011 .

[50]  Norbert Pfeifer,et al.  Dense Image Matching vs. Airborne Laser Scanning – Comparison of two methods for deriving terrain models , 2016 .

[51]  Ma Hongbi.  The Status and Sediment Reduction Effects of Level Terrace in the Loess Plateau , 2015 .

[52]  A. Cevasco,et al.  Response of Terraced Slopes to a Very Intense Rainfall Event and Relationships with Land Abandonment: A Case Study from Cinque Terre (Italy) , 2018 .

[53]  Yumin Tan,et al.  Deep learning-based multi-feature semantic segmentation in building extraction from images of UAV photogrammetry , 2021 .

[54]  Bingfang Wu,et al.  A Policy-Driven Large Scale Ecological Restoration: Quantifying Ecosystem Services Changes in the Loess Plateau of China , 2012, PloS one.

[55]  G. Caneva,et al.  A Review on Management Strategies of the Terraced Agricultural Systems and Conservation Actions to Maintain Cultural Landscapes around the Mediterranean Area , 2021, Sustainability.

[56]  Giorgos Mallinis,et al.  On the Use of Unmanned Aerial Systems for Environmental Monitoring , 2018, Remote. Sens..

[57]  G. Tang,et al.  Geomorphology-oriented digital terrain analysis: Progress and perspectives , 2021, Journal of Geographical Sciences.

[58]  Josef Strobl,et al.  What’s wrong with pixels? Some recent developments interfacing remote sensing and GIS , 2001 .

[59]  F. Díaz,et al.  Plant species composition and richness in abandoned agricultural terraces vs. natural soils on Lanzarote (Canary Islands) , 2016 .

[60]  Hanqing Zhao,et al.  Extraction of Terraces on the Loess Plateau from High-Resolution DEMs and Imagery Utilizing Object-Based Image Analysis , 2017, ISPRS Int. J. Geo Inf..

[61]  Yuyu Zhou,et al.  Migration of Rural Residents to Urban Areas Drives Grassland Vegetation Increase in China’s Loess Plateau , 2019, Sustainability.

[62]  Jörgen Wallerman,et al.  Forest variable estimation using photogrammetric matching of digital aerial images in combination with a high-resolution DEM , 2012 .

[63]  G. Meyer,et al.  Color indices for weed identification under various soil, residue, and lighting conditions , 1994 .

[64]  Yu Cao,et al.  Landscape pattern and sustainability of a 1300-year-old agricultural landscape in subtropical mountain areas, Southwestern China , 2013 .

[65]  Biswajeet Pradhan,et al.  Improving Landslide Detection from Airborne Laser Scanning Data Using Optimized Dempster-Shafer , 2018, Remote. Sens..

[66]  D. P. Shrestha,et al.  Modelling land degradation in the Nepalese Himalaya , 2004 .

[67]  P. Marín Sanleandro,et al.  The causes of piping in a set of abandoned agricultural terraces in southeast Spain , 2007 .

[68]  José A. Martínez-Casasnovas,et al.  Influence of the EU CAP on terrain morphology and vineyard cultivation in the Priorat region of NE Spain , 2010 .

[69]  P. Tarolli,et al.  Remote sensing vs. field-based monitoring of agricultural terrace degradation , 2020, International Soil and Water Conservation Research.

[70]  Alfred Stein,et al.  Object-based gully system prediction from medium resolution imagery using Random Forests , 2014 .

[71]  A. Eneji,et al.  Agriculture on the Loess Plateau , 2014 .

[72]  Sarawut Ninsawat,et al.  Pre-harvest Sugarcane Yield Estimation Using UAV-Based RGB Images and Ground Observation , 2018, Sugar Tech.

[73]  Zhi-ming Feng,et al.  Grain-for-green policy and its impacts on grain supply in West China , 2005 .

[74]  Arno Schäpe,et al.  Multiresolution Segmentation : an optimization approach for high quality multi-scale image segmentation , 2000 .

[75]  Zacchaeus G. Compson,et al.  Ecosystem responses to restored flow in a travertine river , 2018, Freshwater Science.