Article
Environmental Sciences
Mohsin Khan, Talha Omer, Asad Ellahi, Zahid Ur Rahman, Rizwan Niaz, Showkat Ahmad Lone
Summary: The current research aims to monitor and evaluate the heavy metal contamination in surface water of selected rivers using principal component analysis and cluster analysis. Both physiochemical parameters and heavy metals are analyzed as potential water contaminants. The study finds hazardous metals in the rivers, such as Cr, Cd, Pb, Ni, and Fe, exceed the permissible limits of the WHO.
GEOCARTO INTERNATIONAL
(2023)
Article
Environmental Sciences
Jun Zhang, Huarui Zhang, Hong Chi, Lihua He, Liang Hong, Huini Wang
Summary: This study developed an eco-geological environment quality assessment system to investigate the challenges faced by Jiangxia District, a mining region in Wuhan City. The system utilized field surveys, literature analysis, remote sensing images, and on-site monitoring data. The assessment results showed a moderate grade of overall eco-geological condition in Jiangxia District, with a stable and favorable environment situation during the specified timeframe.
GEOCARTO INTERNATIONAL
(2023)
Article
Environmental Sciences
Jingzhao Feng, Yile Chen, Senyu Lou, Jianqiang Yin
Summary: The change in land spatial structure has a significant impact on regional development and stability. Studying the spatial structure changes in important cities, such as Zhongshan city, contributes to the coordinated development of the region. The research finds that the urban space in Zhongshan city shows a pattern of fragmentation, aggregation, and fragmentation in terms of the spatial structure of living land. Productive land is concentrated in the northeast and ecological land is concentrated in the southeast. From 2022 to 2035, productive land will increase in different scenarios, with the fastest increase in the urbanization development scenario. The habitat quality of Zhongshan city has declined from 2000 to 2022 but is expected to improve in the ecological protection and sustainable development scenarios by 2035.
GEOCARTO INTERNATIONAL
(2023)
Article
Environmental Sciences
Ahmed M. Al-Areeq, Abdulnoor A. J. Ghanim, Hatim O. Sharif, Shakhawat Chowdhury, Nabil M. Al-Areeq, Muhammad Tauhidur Rahman, Mohammed S. Al-Suwaiyan
Summary: This study addresses the impact of earth fissures on flooding in the Qaa'Jahran watershed in Yemen and highlights the importance of tailored flood management strategies. The comprehensive analysis and integration of flood inundation mapping, advanced hydrologic modeling, and consideration of earth fissures provide a unique perspective on flood dynamics in urbanizing regions.
GEOCARTO INTERNATIONAL
(2023)
Article
Environmental Sciences
Yi Lu, Changbao Yang, Liguo Han
Summary: Vegetation obstructs the classification of bedrock and the acquisition of bedrock spectra using remote sensing data. Although previous studies have shown that bedrock can control vegetation growth, the potential of using vegetation spectral features to map bedrock has not been widely explored. This study utilized Sentinel-2 data to derive reflectance and vegetation indices, conducted a spatiotemporal analysis of vegetation spectral features on different bedrock, and used random forest classifiers to map bedrock. The results demonstrated the close relationship between vegetation growth and bedrock, and showed that both vegetation indices' combination and reflectance during the growing season can achieve reasonably classified maps with high accuracies.
GEOCARTO INTERNATIONAL
(2023)
Article
Environmental Sciences
Minghui Gao, Cheng Li, Jie Zhao, Hu Zhao
Summary: The study proposes two new perspectives for the research on ecological security pattern (ESP). Firstly, a new method for identifying ecological supply and demand areas based on the ratio of ecosystem service supply and demand is proposed; secondly, socioeconomic pathways and representative concentration pathways (SSP-RCP) scenarios are combined to predict the future supply and demand of regional ecosystem services under different climate scenarios, and to further predict the future regional ESPs under different climate scenarios. Finally, a planning proposal based on the supply and demand perspective was put forward for the Yangtze River Delta (YRD) ESP, with 'two belts-four zones'. The results show that the ESP changes significantly under different climate scenarios, and the ecological demands under the three scenarios continue to increase during the study period.
GEOCARTO INTERNATIONAL
(2023)
Article
Environmental Sciences
Samy I. Elmahdy, Mohamed M. Mohamed
Summary: This study investigates the impacts of LULC on groundwater levels and quality in the Emirate of Abu Dhabi over the past two decades, revealing significant hydrological changes in response to rapid urbanization.
GEOCARTO INTERNATIONAL
(2023)
Article
Environmental Sciences
Birtukan Abebe Hirpa, Girma Berhe Adane, Minwoo Roh, Cholho Song, Dessie Nedaw, Asfawossen Asrat, Woo-Kyun Lee
Summary: This study quantifies and characterizes the availability of green and blue water resources in the upper Awash basin, while also assessing agricultural water scarcity for different crops. The results show that the Western highlands have higher green and blue water availability compared to the central and eastern parts of the basin. The study emphasizes the importance of integrating green water potential to alleviate blue water scarcity in the basin.
GEOCARTO INTERNATIONAL
(2023)
Article
Environmental Sciences
Abdulkarem Qasem Dammag, Dai Jian, Guo Cong, Basema Qasim Derhem, Hafiza Zara Latif
Summary: This study analyzed the land use/land cover changes in Ibb city using a cellular automata and Markov chain model. The results showed a decrease in vegetation area and an increase in barren land, grassland, and built-up areas. The predicted maps indicated further decrease in vegetation and grassland, and increase in built-up areas and waterbodies.
GEOCARTO INTERNATIONAL
(2023)
Review
Environmental Sciences
Juan J. Ruiz-Lendinez, Francisco J. Ariza-Lopez, Juan F. Reinoso-Gordo, Manuel A. Urena-Camara, Francisco J. Quesada-Real
Summary: Deep learning has been widely used in various domains, including spatial information and Digital Elevation Models (DEMs). This study reviews the methods of applying deep learning in altimetric spatial information and specifically in DEMs, such as void filling, super-resolution, landform classification, and hydrography extraction. Although these methods have great potential, there are still challenges that need to be addressed, such as improving terrain information or algorithm parameterization.
GEOCARTO INTERNATIONAL
(2023)
Article
Environmental Sciences
Clopas Kwenda, Mandlenkosi Victor Gwetu, Jean Vincent Fonou-Dombeu
Summary: Modern earth observation sensors have improved remote sensing image quality, but pixel-based image analysis methods face challenges with very high-resolution imagery. Geographic Based Image Analysis (GEOBIA) has shown promise, but lacks flexibility in capturing expert expressions, leading to the adoption of ontologies in remote sensing science. This paper advocates for using ontologies for knowledge representation in remote sensing, presenting a survey of GEOBIA studies and analyzing recent ontologies-based forest image classification studies.
GEOCARTO INTERNATIONAL
(2023)
Article
Environmental Sciences
Xu Zhang, Ling Han, Liangzhi Li, Zongfan Bai
Summary: Land desertification is a significant ecological threat globally, and the Loess Plateau serves as a typical region. This study establishes a comprehensive analytical methodology to evaluate the extent, spatiotemporal changes, intensity, driving mechanisms, and management zoning of desertification. The results suggest that NDVI and albedo are closely related to desertification, with climate factors and human activities as the main driving forces. The study also delineates different management zones to address the needs of ecological protection, restoration, and monitoring.
GEOCARTO INTERNATIONAL
(2023)
Article
Environmental Sciences
Yulong Zhou, Muhammad Afaq Hussain, Zhanlong Chen
Summary: This study introduces the feature fusion transformer (FFTR) module and various machine learning classifiers to improve landslide susceptibility mapping. Incorporating displacement velocity calculated by PSInSAR enhances the comprehensiveness of the mapping.
GEOCARTO INTERNATIONAL
(2023)
Article
Environmental Sciences
Anitabha Ghosh, Uday Chatterjee, Subodh Chandra Pal, Abu Reza Md. Towfiqul Islam, Edris Alam, Md Kamrul Islam
Summary: Floods are a common natural disaster that pose significant risks to human lives and infrastructure. This study used the GIS-AHP model to assess flood risks and identified areas with high flood risk, providing valuable insights for decision-makers and planners.
GEOCARTO INTERNATIONAL
(2023)
Article
Environmental Sciences
Josua Rahmawaty, Josua Siahaan, Arif M. Nuryawan, Moehar Harahap, Mohd Hasmadi Ismail, Abdul Rauf, Harry Kurniawan, Seca Gandaseca, Mahawan Karuniasa
Summary: Medan City in Indonesia, the third-largest city and capital of North Sumatra Province, has experienced significant changes in mangrove forest cover, particularly in Medan Labuhan Sub-district. An integrated approach using remote sensing, Geographic Information Systems (GIS), and Analytical Process Hierarchy (AHP) was utilized to map and analyze these changes. The study highlights the decrease in mangrove forest area in Medan Labuhan Sub-district and identifies the economy as the top priority for preventing further changes. Efforts from all parties are recommended to maintain the function of the mangrove ecosystem, with the approach aiding decision-makers and stakeholders in effective mangrove ecosystem management and conservation in Medan City.
GEOCARTO INTERNATIONAL
(2023)
Article
Environmental Sciences
Ziqi Guo, Zhaojin Yan, MiErZhaTi PaErHaTi, Rong He, Hui Yang, Ran Wang, Hui Ci
Summary: This study aims to provide a scientific basis for the prevention and control of soil erosion in the Huaihe region. The InVEST-SDR model is used to estimate the temporal and spatial changes of soil erosion and soil conservation. The driving factors are evaluated and quantified using Random Forest and Geodetector. The major findings indicate the intensification of soil loss and soil retention in the Huaihe region, influenced by factors such as slope and rainfall, with forests playing an important role in soil conservation.
GEOCARTO INTERNATIONAL
(2023)
Article
Environmental Sciences
Guimei Qi, Zhihong Yu, Zhenjie Hou, Ying Guo, Billiger Huth
Summary: This study explores the performance of rule-based classification in object-based image analysis (OBIA) for identifying effective gerbil holes using UAV imagery. A novel method to build rule sets is proposed to improve classification accuracy and reduce the time cost of repeated 'trial and error'. OBIA demonstrated higher classification accuracy than maximum likelihood (ML) classification, with an overall accuracy of 88.25%. The study also provides insights into the relationship between the area of effective gerbil holes and grass coverage, which follows a quadratic function. Practical guidance for grassland management and rodent infestation control is provided.
GEOCARTO INTERNATIONAL
(2023)
Article
Environmental Sciences
Xuan Truong Trinh, Lam Dao Nguyen, Wataru Takeuchi
Summary: Seagrass ecosystems play a crucial role in the carbon cycle, biodiversity, fisheries, and erosion prevention. Mapping seagrass in tropical coastal waters is challenging due to turbidity and changing tidal dynamics. This study used a combination of Sentinel-2 images, tidal heights, and reflectance to improve seagrass classification accuracy, resulting in one of the highest accuracies achieved in turbid waters. The findings contribute to quantifying seagrass distribution and carbon sequestration capacity in tropical coastal waters, addressing uncertainties in blue carbon estimation.
GEOCARTO INTERNATIONAL
(2023)
Article
Environmental Sciences
Mallikarjun Mishra, K. N. Prudhvi Raju, Prem Chandra Pandey
Summary: The study aims to record variations in the extent of area for two polygons, a university campus and the Ganga basin, and examine changes in shape and area for a polygon covering India under different map projections. The results of the study suggest the use of Lambert Conformal Conical (LCC) or Polyconic projections for mapping smaller areas on larger scales and larger areas on smaller scales in India.
GEOCARTO INTERNATIONAL
(2023)
Article
Environmental Sciences
Yanxia Wang, Jiangxia Ye, Chen Chuan, Ruliang Zhou
Summary: This paper introduces the use of digital elevation model (DEM) maps as a unified geographic reference to address the challenging issues of random geometric distortions and erroneous spatial associations in remote sensing applications in mountain areas.
GEOCARTO INTERNATIONAL
(2023)
