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72 articles for “Land Change Modeler”
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Identifying Trends in Landuse/Landcover Changes in Hisar Tehsil: A LCM Based Approach
Abstract: Land is a source of all basic human needs, (e.g., agriculture, forest, water supply etc.) which is being continuously depleted by various agents. Urban growth and urbanization are considered as one of the major factors responsible for change in landcover dynamics and depletion of land resources. As compared with other landcover classes such as agricultural land, urban land has smaller area coverage but its impact to the surrounding environment is …
Published in Journal of Remote Sensing & GIS · Vol. 8, Issue 1, 2017 · pp. 1–8 Read article
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INVESTIGATING THE EFFECTS OF CHANGE IN LAND COVER ON STREAMFLOW USING SWAT MODEL & QGIS
Abstract: The investigative study is done using SWAT model to analyse the impact of change in Land Cover on the streamflow of Godavari River up to Chass gauge station in Maharashtra. The SWAT model was run 3 time for 3 subsequent decades (1985-1995, 1995-2005, 2005-2015) in order to take into account the changes in streamflow due to land cover. Hence, utilizing Land Cover map of respective three decades each with its …
Published in Journal of Water Resource Engineering and Management · Vol. 6, Issue 2, 2019 · pp. 61–70 Read article
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Solid Waste Management in Gomti River Basin in Response to Rapid Urbanization: A Review of Existing Infrastructure
Abstract: Abstract The rapid economic growth along with development and expansion of urban infrastructure with improper design is leading to various problems for management of several components of infrastructure. Management of rapidly growing municipal solid waste (MSW) is one of the major challenges along with lack of maintenance of sewerage systems, sewage treatment plants, proper collection and disposal of waste. Due to change in lifestyle and increase in per capita income, …
Published in Journal of Water Pollution & Purification Research · Vol. 4, Issue 2, 2017 · pp. 13–18 Read article
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Landuse/Landcover Changes and Geo-Environmental Impacts on Beluguppa Mandal of Anantapur District of Andhra Pradesh, India, using Remote Sensing and GIS Modelling
Abstract: The study aims to discriminate the changing pattern of land use and its geo-environmental impacts over the Beluguppa mandal of Anantapur district in the division of AP state, India. Satellite imageries were analyzed to perceive the changes in landuse and landcover (LULC) in the past 19 years in Beluguppa mandal. The assistance of Remote Sensing (RS) and Geographic Information System (GIS) modeling has been adopted in mapping the LULC changes. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 8, Issue 2, 2019 · pp. 6–15 Read article
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Land Use Land Cover Change Detection and Forecasting for Tiruchirappalli City Using Remote Sensing and GIS
Abstract: Normal 0 false false false EN-IN X-NONE X-NONE Land use Land cover (LU/LC) change has taken place in Tiruchirappalli city in Tamil Nadu, India over the past two decades due to induced industrialization and urbanization. In this paper, LU/LC change dynamics were studied by the combined use of remote sensing, geographical information system (GIS) and stochastic modelling technologies. The different land use categories and their spatial and temporal variability in …
Published in Journal of Remote Sensing & GIS · Vol. 3, Issue 1, 2012 · pp. 21–32 Read article
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Land Use/Land Cover Change Detection Using GIS and Remote Sensing: A Case Study of District Rawalpindi
Abstract: Aggregation and visualization of geographic data are significant aspects of environment modeling, agricultural management and socio-economic status. Geographical Information System (GIS) and Remote Sensing had been used to aggregate the change detection of land use/Land cover (LULC) change. This can help to identify adaptations in the properties or phenomena which are imaginary in the diverse time period. This study takes the temporal-spatial subtleties of LULC using satellite imageries of different …
Published in Journal of Remote Sensing & GIS · Vol. 10, Issue 2, 2019 · pp. 19–34 Read article
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HEC-HMS Based Estimation of Rainfall Runoff Relationship in Central Highlands of Ethiopia, a Case Study in Beressa Watershed
Abstract: Rainfall and runoff are the most frequently used events in hydrology. Calculating of a flow at the outlet of river is vigorous for a number of hydrologic studies like water resource management and flood forecasting. This study supported out to estimate rainfall-runoff relation in Beressa watershed. HEC-HMS model is used to pretend rainfall-runoff process and to apply the rainfall-runoff analysis by using SCS_CN method in Beressa Watershed. A physical based …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 3, 2021 · pp. 40–63 Read article
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Land surface dynamics: A Multiphysics Approach to Modeling Mass Transport
Abstract: Land surface dynamics are governed by complex interactions among hydrological, atmospheric, and geomorphological processes that collectively drive the transport of mass across terrestrial environments. Traditional modeling approaches often isolate individual mechanisms, limiting their ability to capture the coupled feedbacks that shape landscape evolution. This study presents a multiphysics framework for modeling mass transport on land surfaces, integrating fluid flow, sediment transport, heat exchange, and chemical reactions within a unified computational …
Published in International Journal of Land · Vol. 2, Issue 2, 2025 · pp. 31–36 Read article
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Explainable GeoAI-Based Multi-Temporal Remote Sensing Framework for Early Detection of Climate-Induced Land Cover Transformation
Abstract: Climate change has emerged as one of the primary drivers of rapid land cover transformation, affecting ecosystems, agricultural productivity, biodiversity, and regional sustainability. Traditional remote sensing approaches often face challenges in detecting subtle and early-stage land cover changes due to limitations in temporal analysis and model interpretability. This study proposes an Explainable GeoAI-based multi-temporal remote sensing framework for the early detection of climate-induced land cover transformation using multi-source satellite imagery …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 2, 2026 Read article
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Intercropping Legumes Covers with Maize on Soil Moisture Improvement in Selected Dry Land Areas of Basketo Special Woreda’s, Ethiopia
Abstract: In order to increase land productivity, intercropping offers enough flexibility to grow two or more crops at the same time on the same plot of land. The advantages of intercropping systems have not been thoroughly investigated and are supported by available experimental data. The purpose of this study was to assess how intercropping affects soil moisture conservation in places under moisture stress, which affects land productivity. In this study, experimental …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 13, Issue 3, 2024 · pp. 09–18 Read article
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The Tapper Approach: An Integrated Framework for Land Degradation, Restoration, and Climate-Conflict Dynamics
Abstract: Land systems across the globe are increasingly exposed to multiple and interacting pressures, including land degradation, climate change, biodiversity loss, unsustainable land-use practices, rapid population growth, and socio-economic conflicts. These challenges not only reduce ecosystem productivity and resilience but also threaten food security, water availability, rural livelihoods, and long-term environmental sustainability. Despite the growing recognition of these interconnected issues, most existing conceptual and analytical frameworks continue to address them in …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 2, 2026 · pp. 24–30 Read article
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A Review on Artificial Intelligence Techniques for Analyzing Deforestation and Illegal Logging Using Satellite Imagery
Abstract: Deforestation and illegal logging remain critical environmental threats, driving biodiversity loss, climate change, and socio-economic disruption. Conventional monitoring techniques frequently do not yield real-time, large-scale insights. Recent developments in Artificial Intelligence (AI), especially in deep learning and computer vision, have revolutionized the ability to analyze high-resolution satellite images for detecting deforestation and monitoring illegal logging. This review synthesizes recent developments in AI-driven approaches, highlighting convolutional neural networks (CNNs), anomaly detection …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 1–9 Read article
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Landuse/Landcover Change Detection Analysis using Geospatial Techniques: A Case Study of Simhadripuram Mandal, Kadapa District, Andhra Pradesh, India
Abstract: The focus of this research is to distinguish between shifting land-use patterns and their geo-environmental implications in Simhadripuram Mandal, YSR Kadapa district, Andhra Pradesh, India. While the terms Landuse and Landcover (LULC) are sometimes used interchangeably, they have distinct natural meanings. Landuse refers to the function of a piece of land, such as mining, agriculture, or habitation. Landcover refers to the ground's surface cover, which might include vegetation, water, barren …
Published in Journal of Remote Sensing & GIS · Vol. 12, Issue 3, 2021 · pp. 30–40 Read article
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Deep Learning for Earth Observation Using Satellite Imagery: A Comprehensive Review
Abstract: Earth observation (EO) satellites provide continuous, large-scale information about the Earth's land, oceans, atmosphere, vegetation, infrastructure, and environmental conditions. The rapid growth of multispectral, hyperspectral, synthetic aperture radar (SAR), thermal, and high- resolution satellite missions has generated large volumes of heterogeneous spatial and temporal data. Conventional image-processing and machine-learning techniques often require manually designed features and may have difficulty representing the complex spatial, spectral, temporal, and multimodal characteristics of satellite …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article
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Building a Resilient Climate Regulatory Ecosystem for Nigeria
Abstract: Terrestrial ecosystems, which store more carbon than the atmosphere, are vital to influencing carbon dioxide-driven climate change. Climate and land-use change are critical and interlinked components of the Carbon budget in human-dominated landscape, using the InVEST model maps of land use and stocks in four Carbon pools (aboveground biomass, belowground biomass, soil, dead organic matter) are used to estimate the amount of Carbon currently stored in the landscape and the …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 11, Issue 2, 2020 · pp. 46–62 Read article
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Comparative Study of AI-Driven Fashion Trend Prediction System Using AI and ML: A Review
Abstract: To overcome the challenges in fashion trend forecasting, researchers have introduced several advanced and data-driven approaches. One such method uses a long short-term memory (LSTM) model combined with an encoder-decoder architecture to extract meaningful fashion content and recognize styles from product images. This model achieves higher accuracy in predicting upcoming fashion trends by incorporating varying price intervals and has shown impressive results when evaluated on the Amazon fashion dataset. Another …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 35–41 Read article
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The Resurging Effect of Climate – Human Interaction on the Soil of Abia State, Nigeria: A Climate Change Perspective.
Abstract: Abstract Studies on the impact of climate change on soil erosion have been widely acknowledged by parts of the eastern states of Nigeria as one of the major land degradation problems besetting the area. This study adopts Geographic Information System (GIS) and Remote Sensing techniques as veritable tool to study the effect of Climate – Human interaction on soil of Abia state. Increase in observed mean rainfall of 5.85, 5.62, …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 10, Issue 2, 2020 · pp. 27–44 Read article
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Next-Generation Satellite Remote Sensing: Innovations, Applications, and Future Prospects
Abstract: Advances in satellite remote sensing have revolutionized our ability to monitor, analyze, and understand the Earth's environment across various scales. Over the past few decades, the field has seen remarkable progress in sensor technology, data processing techniques, and analytical methodologies. Modern satellites now provide high-resolution imagery and multi-spectral data, enabling enhanced monitoring of land cover, atmospheric conditions, oceanic dynamics, and natural disasters. These advancements have facilitated improvements in climate change …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 1, 2025 · pp. 37–62 Read article
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Modeling the Socioeconomic Factors Impact on Household Trip Production for Baghdad
Abstract: In Baghdad, the number of vehicles has increased more than two folds after 2003. The land use in many sectors has changed and expansions of residential zone are noticeable at other sectors while the restrictions on car ownership and commerce are nil. The restrictions on using many streets due to security issues cause a huge traffic jam among the whole network. It was felt that revision to the transportation policies …
Published in Trends in Transport Engineering and Applications · Vol. 2, Issue 3, 2015 · pp. 61–73 Read article
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Enhancing Online Security: Machine Learning Methods for Phishing Detection—Literature Survey
Abstract: Phishing attacks represent a substantial online security threat as they mimic authentic websites to trick users into disclosing sensitive information. Detecting these malicious websites is crucial for safeguarding user data and maintaining digital trust. This summary provides insight into the application of machine learning methods in the identification of phishing websites. Machine learning, which falls under the umbrella of artificial intelligence, has proven to be a robust instrument for automating …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 3, 2023 · pp. 29–34 Read article