Erosion Assessment Research Articles

APPLICATION OF COCONUT COIR MATTING AND VEGETATION FOR RIVERBANK EROSION PROTECTION

In this paper, a sustainable and non-structural solution is identified to solve the problem of riverbank erosion by using the case study of Pusu River in the district of Gombak, Selangor, Malaysia. Several types of non-structural and sustainable materials were used as riverbank protection in the study area with the application of coconut coir mat and vetiver grass and their effectiveness were evaluated. The coconut coir was fabricated in the laboratory as per ASTM D6525 and it was applied in four plots at the riverbank that consist of different configurations namely bare soil, coconut coir mat with natural vegetation, coconut coir mat with vetiver grass, and vetiver grass on its own. To analyse the effectiveness of the configurations, two tests such as visual inspection test and riverbank erosion assessment using erosion pins were conducted. This study concludes that coconut coir helps vetiver grass roots to grow more expansively as compared to the growth of the vetiver grass without coconut coir. The application of vetiver grass is proven to be 90.5 % effective which is higher than other types of configurations with a 0.05 cm/day mean erosion rate observed.

Soil Erosion Assessment by RUSLE, Google Earth Engine, and Geospatial Techniques over Rel River Watershed, Gujarat, India

Soil Erosion Assessment by RUSLE, Google Earth Engine, and Geospatial Techniques over Rel River Watershed, Gujarat, India

GIS based soil erosion assessment using the USLE model for efficient land management: A case study in an area with diverse pedo-geomorphological and bioclimatic characteristics

The complex environmental process of soil erosion is crucial to sustainable land management and conservation. This study uses the Universal Soil Loss Equation (USLE) model to understand the intricate interactions that cause soil erosion in Cluj County, Romania, a region susceptible to complex erosion and landslide phenomenon. The established analysis depicts erosion patterns from localised hotspots to regions of relative stability, providing valuable insights into this critical issue. Spatial distribution maps with color-coded gradients show soil erosion risk and identify vulnerable regions, with temporal investigations depicting how environmental changes affect soil erosion, making it relevant to soil conservation and land management. A careful analysis of the USLE model's parameters (Ls, Cs, C, S, K) shows their soil erosion contributions. The erosion rates were graded in five classes in accordance to general practices of USLE modelling, which range from very-low, low, moderate, high and very-high susceptibility to soil erosion. While a significant majority of the county’s surface is represented by very-low and low erosion risk, several hotspots were identified with intense erosion processes that highlights the critical need to implement soil conservation measures in the area. Identifying erosion hotspots and conservation solutions encourages stakeholders to protect soils, and can provide policymakers with useful information for developing improved guidelines for soil and water conservation.

Accommodating uncertainty in soil erosion risk assessment: Integration of Bayesian belief networks and MPSIAC model

Accommodating uncertainty stands as one of the most salient challenges in the development of soil erosion assessment tools. We presented a novel approach integrating the Modified Pacific Southwest Inter-Agency Committee (MPSIAC) model and Bayesian Belief Networks (BBNs) to assess soil erosion in a region of western Iran. The soil erosion status was reckoned based on the nine factors of MPSIAC. We utilized BBNs to produce a causal model for soil erosion, with output probabilities being validated through re-evaluation and sensitivity analysis. We identified erosion types, geological formations, run-off, soil erodibility, soil permeability, soil characteristics, and precipitation intensity as the main determinants of soil erosion. A significant, positive correlation existed between the erosion rate derived from MPSIAC and BBNs model in all land-use/covers over the work units. Overall, this study highlighted the potential of BBNs as a supportive tool for soil erosion prediction as well as a relatively simple and updatable soil erosion model for dealing with the diagnostic, scenario, and sensitivity analysis. Considering the increasing incidence of soil erosion, the BBNs model proposed in this study can be extended to a variety of ecosystems that are subject to soil erosion and changes in the probability of its causal factors.

Improving the Spatial Prediction of Sand Content in Forest Soils Using a Multivariate Geostatistical Analysis of LiDAR and Hyperspectral Data

Soil sand particles play a crucial role in soil erosion because they are more susceptible to being detached and transported by erosive forces than silt and clay particles. Therefore, in soil erosion assessment and mitigation, it is crucial to model and predict soil sand particles at unsampled locations using appropriate methods. The study was aimed to evaluate the ability of a multivariate approach based on non-stationary geostatistics to merge LiDAR and visible-near infrared (Vis-NIR) diffuse reflectance data with laboratory analyses to produce high-resolution maps of soil sand content. Remotely sensed, high-resolution LiDAR-derived topographic attributes can be used as auxiliary variables to estimate soil textural particle-size fractions. The proposed approach was compared with the commonly used univariate approach of ordinary kriging to evaluate the contribution of auxiliary variables. Soil samples (0–0.20 m depth) were collected at 135 locations within a 139 ha forest catchment with granitic parent material and subordinately alluvial deposits, where soils classified as Typic Xerumbrepts and Ultic Haploxeralf crop out. A number of linear trend models coupled with different auxiliary variables were compared. The best model for predicting sand content was the one with elevation derived from LIDAR data as the only auxiliary variable. Although the improvement in estimation over the univariate model was rather marginal, the proposed approach proved very flexible and scalable to include any type of auxiliary variable. The application of LiDAR data is expected to expand as it allows the high-resolution prediction of soil properties, generally insufficiently sampled, at different spatial scales.

Soil erosion and degradation assessment integrating multi-parametric methods of RUSLE model, RS, and GIS in the Shaqlawa agricultural area, Kurdistan Region, Iraq.

This study evaluated soil erosion rates in the Shaqlawa district using the Geographical Information System (GIS)-based Revised Universal Soil Loss Equation (RUSLE) model. The primary objective was to identify areas within the district that are prone to significant erosion and develop appropriate soil conservation schemes accordingly. A combination of primary and secondary data from diverse sources was utilized to achieve this objective. The GIS-based RUSLE model used variables like soil erodibility (K), soil coverage (C), topographic effect (LS), rainfall runoff (R), and erosion control practices (P) to estimate the amount of soil that had been washed away in the study area. The study provided valuable information that can be used to plan and administer soil protection in the Shaqlawa district. The average yearly soil loss in the study region is estimated to be 65.66 t ha-1 year-1. The district is experiencing significant soil erosion rates, which may have detrimental effects on agricultural productivity, water quality, and environmental health. The analysis revealed that Balisan, Hiran, Shaqlawa center, and part of the Salahaddin subdistrict are the most affected areas, with high values of LS and R factors contributing to significant soil erosion rates. These results underscore the importance of soil protection and management efforts in the Shaqlawa district. The combination of the RUSLE with GIS and remote sensing techniques has been recognized as an essential, cost-effective, and highly accurate approach for estimating soil erosion.

Rainfall erosivity in the Republic of North Macedonia: Fournier index approach

Rainfall erosivity is a crucial factor influencing soil erosion, which results from the detachment, transportation, and deposition of soil particles caused by rainfall and runoff. Rainfall erosivity assessment is a fundamental process aimed at quantifying the erosive power of rainfall events in a given region. The paper provides an overview of rainfall erosivity assessment in several heterogeneous regions of the Republic of North Macedonia based on rainfall data from meteorological stations characterized by different climatic and geographical conditions. Having into consideration that rainfall erosivity can be quantified by using various indices, this study uses two common ones: Fournier Index (FI) and the Modified Fournier Index (MFI) based on monthly and annual precipitation totals for the period 1951-2020. The results imply that in general, the studied stations belong to a low class of erosivity. It is found that FI has greater sensitivity and provides more details, also showing years with high and even very high rainfall erosivity while MFI gives more information for moderate rainfall erosivity.

Preface

The current volume is a part of the annual series of conference on Viet Nam’s Seas and Islands organized by the University of Social Sciences and Humanities, Viet Nam National University Ho Chi Minh City. This is the second year the conference is being held, in collaboration with the Faculty of Geography, Faculty of History, Center for Ocean, Island and Climate Change Studies, and Center for Strategic Research.The conference “Potential for Exploitation and Development of Coastal Zone in Vietnam”, which was held on April 26th 2023, focuses on the history of maritime exploitation, assessing the potential for economic development, and environmental protection towards sustainable development. Total of 61 papers were received from various research institutions across the country. Among those papers, 24 papers were selected and transferred to the publication process and 16 papers are published.The content of the articles is diverse, and they contribute significantly from five different research perspectives:1. Environmental scientific approaches provide insights into natural resources, sedimentation, erosion assessment, GIS applications for groundwater evaluation, solid waste management, and various aspects of coastal ecosystem management.2. Anthropological approaches delved into the challenges of development choices: whether to prioritize family livelihoods or safeguard maritime security and the marine environment. This presents a significant issue in Viet Nam’s sustainable development.3. Historical approaches were employed to study the evolution of exploitation and clarify policy changes across dynasties and issues related to Viet Nam’s maritime sovereignty throughout different historical periods.4. Economic approaches highlighted directions to natural resources for maritime economic development, coastal tourism, eco-tourism, and fishing along the country’s coastline.5. Lastly, cultural approaches painted a vivid picture of the coastal fishermen, folk songs, indigenous knowledge, and the role of women in preserving and developing coastal areas.The organizers would like to express the appreciation to all of the authors who contributed to the success of the volume, as well as the committee members and reviewers who gave their time and expertise to ensure the scientific quality of the papers. Following that, we would like to thank our colleagues, particularly those on the Advisory Center for Publication and Project Development (CAP) team, who assisted us throughout the editorial process and who were always willing to offer helpful advice based on their extensive experience. Lastly, we wish to convey our appreciation for Prof. Joanna Zawiejska, Ms. Nguyen Ngoc Phuong Giang, and Ms. Natalia Popielska for English editing and comments on our papers.We trust that the published research provides both educational and informative value. Our aim is for the selected papers to serve as inspiration, motivating readers to advance their own research career, as well as contribute to the sustainable development of Viet Nam’s marine environments and coastal zones. Editorial board Prof. Dr. Vo Van Sen; Dr. Le Thanh Hoa, and Dr. Pham Thi Bich Ngoc Organizer: University of Social Sciences and Humanities, Viet Nam National University Ho Chi Minh City 10-12 Dinh Tien Hoang St., Ben Nghe Ward, District 1, Ho Chi Minh City, Viet Nam Sponsors:1. University of Social Sciences and Humanities, Viet Nam National University Ho Chi Minh City2. Viet Nam National University Ho Chi Minh City under the grant number ÐA2019-18b-01 Technical supports: Advisory Center for Publication and Project Development, USSH, VNUHCMList of Steering Committee, Organizing Conference Committee, Scientific Conference Committee and Conference Secretariat are available in this pdf.

Hydrophilic polymer based oral formulations studied by NMR relaxometry and UTE MRI - towards polymer mobilization and erosion assessment

Hydrophilic polymer based oral formulations studied by NMR relaxometry and UTE MRI - towards polymer mobilization and erosion assessment

Assessment of Soil Erosion by RUSLE Model using remote sensing and QGIS: A Case Study on Sina River Basin

Soil erosion is a significant environmental problem that affects river basins globally, leading to the loss of fertile topsoil, degradation of agricultural lands, and water pollution. The Revised Universal Soil Loss Equation (RUSLE) model is commonly used to assess soil erosion by considering various factors such as rainfall erosivity, soil erodibility, slope length and steepness, vegetation cover, and conservation practices. To obtain the necessary data for accurate predictions, remote sensing techniques and Quantum Geographic Information Systems (QGIS), specifically QGIS software, are utilized. The objectives of this research are to determine to estimate soil loss using the Revised Universal Soil Loss Equation (RUSLE) model for the Sina River watershed using QGIS. This research paper focuses on assessing soil erosion in the Sina River Basin located in Ahmednagar, Maharashtra, India, using the RUSLE model and QGIS, having a drainage area of 12,372 km2 . The parameters of the RUSLE model were estimated using remote sensing data and the erosion was determined using QGIS. The estimated rainfall erosivity, soil erodibility, topographic and crop management factors range from 83 to 84 MJ/mm·ha−1hr−1/year, 0 to 0.25t ha−1·MJ−1·mm−and 0 to 957.083, 0 to 0.19 respectively. The results indicate that the estimated total annual potential soil loss of about 14.37 t/yr. The predicted soil erosion rate due to the increase in a barren area is about 9.76 t/yr. The results can certainly aid in the implementation of soil management and conservation practices to reduce soil erosion in the Sina River Basin.

NATIONAL ASSESSMENT OF HURRICANE-INDUCED COASTAL EROSION HAZARDS IN PUERTO RICO

Storms are one of the main causes of coastal erosion, causing substantial property and infrastructure losses in coastal communities. Coastal erosion is particularly damaging in underrepresented communities that are unable to meet building and zoning regulations due to limited resources [Lam, 2014]. The United States Geological Survey (USGS) has developed a probabilistic assessment of hurricane-induced coastal erosion for sandy coastlines along the eastern United States and the Gulf of Mexico. However, the current USGS product incorporates an empirical equation with inputs of beach slope and deep-water wave height and period [Stockdon, 2006] to predict the wave runup. Though this is appropriate for open coast sandy beaches, it is not valid for the rocky and reef lined coasts of Puerto Rico due to their complex bathymetries, steep slopes, and large bottom roughness. To expand this tool to Puerto Rico, the USGS has created 1-dimensional XBeach [Roelvink, 2009] models around the island.

Assessment of cavitation erosion risk indicated by pressure impact exceeding material strength threshold

Cavitation erosion can seriously affect the performance of hydraulic machinery. To assess its risk, the cavitation erosion that covered a NACA0015 hydrofoil was investigated using experiment and simulation. In particular, the material strength threshold was considered in the experiment, and soft specimens were employed instead of common painting surfaces. High-speed cameras were utilized to capture cavity morphology, while pressure sensors simultaneously measured the impact intensity of cavitation collapse. Additionally, an erosion assessment method based on pressure impact was used in the numerical simulation. The results indicate that the cavitation erosion risk can be indicated by the intensity of pressure impact, which is caused by the collapse of cavity. The high erosion risk appears near 60% of chord length where shedding cloud collapses. Due to the influence of middle-entrant jet and side-entrant jets, the erosion risks are different at various span-wise locations. Additionally, the response differs for different materials exposed to cavitation. When the material strength threshold is low, the chord-wise difference of cavitation erosion is not significant, because the slight impact can also generate erosion pits. When the threshold is high, the chord-wise difference of erosion becomes larger, and erosion pits are more centralized.

Comparison of Sampling and Grid Methods for Regional Soil Erosion Assessment

To control soil erosion, the intensity, area, and distribution of regional soil erosion must be determined to accurately plan and implement corresponding soil conservation measures. Therefore, regional soil erosion assessment has received extensive attention worldwide. At present, a sampling survey approach and full-coverage grid-based calculation are mainly applied in regional soil erosion assessment. The quantitative evaluation of the entire region depends on the quality of the data source. Furthermore, owing to the greatness of the evaluation object, the difficulty of data acquisition, the high cost, and poor usability, the present approach is bound to be at the expense of data accuracy, spatial resolution, time resolution, etc. The sampling survey approach can obtain high-precision data of soil erosion factors. Therefore, it can accurately quantify soil erosion in a field investigation unit. However, the sampling method, sampling density, and extrapolation methods have a significant impact on regional soil erosion assessments. This study considers the case of Baiquan County in the rolling hills of Northeast China as an example. Regional soil erosion evaluation using sampling survey and grid computing were compared. The impact of the data source accuracy on the soil erosion assessment was also quantitatively evaluated. The results of grid method showed a phenomenon of large rates of soil erosion and the ratio of the soil erosion area (the share of areas above the mild level), which were overestimated by 20% and 6%, respectively. A digital elevation model (DEM) with a resolution of 30 m can be used for soil erosion evaluation in plain areas, but that with the same resolution in hilly areas has insufficient calculation accuracy and provides large errors. The grid method can be adopted when land use and soil conservation measures are accurate. Otherwise, the sampling method is recommended. Interpolation of the ratio of the soil erosion area in the survey unit based on land use can better evaluate regional soil erosion.

Experience in Carrying Out Project Activities for the Territorial Organization of Land Use of LLC "Rus" of the Semiluksky District of the Voronezh Region

Agricultural production on the territory of LLC "Rus" of the Semiluksky district of the Voronezh region was carried out without taking into account the factor of soil erosion, which led to gradual degradation of land and an increase in the area of arable land, characterized by a strong soil washout of more than 50% of the arable land. The analysis of the agricultural production of the enterprise, natural and climatic factors, soil conditions, as well as the conducted erosion assessment of arable land showed that the land use area is in urgent need of a complex of land management measures aimed at combating erosion. To create favorable conditions for agricultural production, we have de-veloped a set of land management measures for territorial organization, taking into account the man-ifestation of soil erosion. The planned planned measures create a solid foundation for sustainable agriculture, taking into account the factor of soil erosion. . Organization and arrangement of the territory on the anti-erosion principle will prevent the negative impact of erosion processes, improve the agroecological situation on the territory of the enterprise, increase the environmental sustainability of the territory.

Rill formation and evolution caused by upslope inflow and sediment deposition on freshly tilled loose surfaces

Rill erosion easily occurs on tilled surfaces because the soil shear resistance is less than the runoff shear stress. However, rill erosion formation and evolution on tilled surfaces under upslope inflow conditions remain unclear. The objective of this study was to investigate the rill formation process and rill erosion amount on tilled surfaces via flow scouring under different inflow rates (4, 6, and 8 L min−1) at a 15° slope. Close-range photogrammetric technology was applied to measure the rill morphology during the experiments. The results suggested that the rill formation process due to inflow could be divided into two distinct stages, namely, before and after runoff reached the downslope end, i.e., stages I and II, respectively. At stage I, runoff washed soil particles along the downslope direction. In this process, due to limited transport capacity of runoff, washed soil particles were deposited at the runoff head and formed a soil mound, which blocked the flow path, after which the runoff direction changed within the 6.7°− 50.6° range with an average moving distance of 0.62 m. As a result, a curved rill and a series of soil mounds were left on the surface. The inflow rate affected rill morphology by influencing the runoff direction change angle and runoff moving distance between the mounds on the surface. Herein, the rill formation process is referred to as downslope-trending erosion by inflow (DTEI). At stage II, runoff reached the downslope end, and a rill channel was formed throughout the slope. Thereafter, DTEI was largely reduced, and headward erosion was strengthened. As a result, the rill morphology quickly changed, such as the rill depth and rill width, which gradually increased with ongoing headward erosion. During DTEI, the rill paths were curved due to sediment deposition, and the sediment deposition conditions varied under the different inflow rates. Therefore, the rill curvature (RC) differed (1.039 ± 0.014). The RC decreased with headward erosion progression at stage II. The total sediment yield (TSY) increased with increasing inflow rate. Under inflow rates ranging from 4 to 6 L min−1 and 6–8 L min−1, the TSY increased 2.1–2.4 times. Consequently, DTEI on tilled surfaces significantly affects the initial rill morphology and evolution at the later stage. Hence, on slopes, its role should be considered in rill erosion assessment.

Soil Erosion in a British Watershed under Climate Change as Predicted Using Convection-Permitting Regional Climate Projections

Climate change can lead to significant environmental and societal impacts; for example, through increases in the amount and intensity of rainfall with the associated possibility of flooding. Twenty-first-century climate change simulations for Great Britain reveal an increase in heavy precipitation that may lead to widespread soil loss by rising the likelihood of surface runoff. Here, hourly high-resolution rainfall projections from a 1.5 km (‘convection-permitting’) regional climate model are used to simulate the soil erosion response for two periods of the century (1996–2009 and a 13-year future period at ~2100) in the “Rother” catchment, West Sussex, England. Modeling soil erosion with EROSION 3D, we found a general increase in sediment production (off-site erosion) for the end of the century of about 43.2%, with a catchment-average increase from 0.176 to 0.252 t ha−1 y−1 and large differences between areas with diverse land use. These results highlight the effectiveness of using high-resolution rainfall projections to better account for spatial variability in the assessment of long-term soil erosion than other current methods.

Soil Erosion Assessment Using the Intensity of Erosion and Outflow Model by Estimating Sediment Yield: Case Study in River Basins with Different Characteristics from Cluj County, Romania

As the fertile topsoil is constantly washed away and agricultural production is decreased, soil erosion is a serious environmental issue that affects the entire planet. All river basins experience changes in land use that affect sediment dynamics, soil erodibility, and hydrologic response. The main reason for the faster erosion rates is frequently attributed to those alterations. In the current study, the Intensity of Erosion and Outflow (IntErO) model was used to estimate the sediment yield and maximum outflow from three river basins in Cluj County, Transylvania, Romania. Because the county is hilly and has significant erosion issues, it is essential to have a solid understanding of how soil erosion occurs in river basins. This will allow for more precise planning of soil conservation projects and will allow for more effective management of the severity of the erosion processes. The IntErO model offers quick, efficient, and feasible insight into how changing land use affects soil erosion processes. The testing of the procedures that have been put into place is an essential component of the ongoing development of watershed management strategies at the regional level. The relief characteristics and predominant land use of the three selected prototype river basins significantly influenced the resulting real soil losses. The application of the IntErO model in assessing soil erosion rates in the Transylvanian hills represents a novel approach. The findings of this study hold potential for informing policymakers in the formulation of more robust regulations pertaining to soil and water conservation. Consequently, the implementation of such measures is expected to contribute to the safeguarding of river basin soils.

A Geospatial Approach for the Assessment of Erosion and Accretion caused by Krishna River in the Bapatla and Krishna Districts of Andhra Pradesh State, India

Rivers are the dynamic bodies of water, so they change form and size over time in many different ways. The phenomena of riverbank erosion and accretion have a significant impact on the communities that are located in the neighbouring area and they also increase the likelihood of making the agriculturally productive land vulnerable to become barren and unusable. The current study is focused on the analysis of erosion and accretion caused by Krishna River, flowing through the two coastal districts of Andhra Pradesh, Bapatla and Krishna. The satellite imagery acquired from USGS website (https://earthexplorer.usgs.gov) was utilised throughout the course of the research to cover a range of time intervals from 1990 to 2020. For the time period from 1990 to 2000, the erosion and accretion were 2249 ha and 1397 ha respectively. Between the years 2000 and 2010, there was a total of 688 ha of erosion and 1888 ha of accretion. During the period from 2010 to 2020, the area lost to erosion was a total of 2341 ha, while 1743 ha was gained. The findings make it abundantly clear that there has been a significant alteration in the flow pattern of the Krishna River which has led to the loss of a large portion of agricultural land as a result of erosion as well as the congestion of river as a result of accretion. The findings of the research will alert local authorities to develop efficient action plans and strategies to combat erosion and accretion in both the regions.

Soil erosion assessment by RUSLE model using remote sensing and GIS in an arid zone

ABSTRACT In this research, we used the Revised Universal Soil Loss Equation (RUSLE) and Geographical Information System (GIS) to predict the annual rate of soil loss in the District Chakwal of Pakistan. The parameters of the RUSLE model were estimated using remote sensing data, and the erosion probability zones were determined using GIS. The estimated length slope (), crop management (), rainfall erosivity (), soil erodibility (), and support practice () range from 0–68,227, 0–66.61%, 0–0.58, 495.99–648.68 0.15–0.25 , and 1 respectively. The results indicate that the estimated total annual potential soil loss of approximately 4,67,064.25 is comparable with the measured sediment loss of 11,631 during the water year 2020. The predicted soil erosion rate due to an increase in agricultural area is approximately 164,249.31 . In this study, we also used Landsat imagery to rapidly achieve actual land use classification. Meanwhile, 38.13% of the region was threatened by very high soil erosion, where the quantity of soil erosion ranged from 365487.35 . Integrating GIS and remote sensing with the RUSLE model helped researchers achieve their final objectives. Land-use planners and decision-makers use the result's spatial distribution of soil erosion in District Chakwal for conservation and management planning.

National-Standards- and Deep-Learning-Oriented Raster and Vector Benchmark Dataset (RVBD) for Land-Use/Land-Cover Mapping in the Yangtze River Basin

A high-quality remote sensing interpretation dataset has become crucial for driving an intelligent model, i.e., deep learning (DL), to produce land-use/land-cover (LULC) products. The existing remote sensing datasets face the following issues: the current studies (1) lack object-oriented fine-grained information; (2) they cannot meet national standards; (3) they lack field surveys for labeling samples; and (4) they cannot serve for geographic engineering application directly. To address these gaps, the national-standards- and DL-oriented raster and vector benchmark dataset (RVBD) is the first to be established to map LULC for conducting soil water erosion assessment (SWEA). RVBD has the following significant innovation and contributions: (1) it is the first second-level object- and DL-oriented dataset with raster and vector data for LULC mapping; (2) its classification system conforms to the national industry standards of the Ministry of Water Resources of the People’s Republic of China; (3) it has high-quality LULC interpretation accuracy assisted by field surveys rather than indoor visual interpretation; and (4) it could be applied to serve for SWEA. Our dataset is constructed as follows: (1) spatio-temporal-spectrum information is utilized to perform automatic vectorization and label LULC attributes conforming to the national standards; and (2) several remarkable DL networks (DenseNet161, HorNet, EfficientNetB7, Vision Transformer, and Swin Transformer) are chosen as the baselines to train our dataset, and five evaluation metrics are chosen to perform quantitative evaluation. Experimental results verify the reliability and effectiveness of RVBD. Each chosen network achieves a minimum overall accuracy of 0.81 and a minimum Kappa of 0.80, and Vision Transformer achieves the best classification performance with overall accuracy of 0.87 and Kappa of 0.86. It indicates that RVBD is a significant benchmark, which could lay a foundation for intelligent interpretation of relevant geographic research about SWEA in the Yangtze River Basin and promote artificial intelligence technology to enrich geographical theories and methods.