Dam-triggered Land Use Land Cover change detection and comparison (transition matrix method) of Urmodi River Watershed of Maharashtra, India: a Remote Sensing and GIS approach

Bagwan, Wasim Ayub; Gavali, R. S.

doi:10.1080/24749508.2021.1952762

Cited by 26 publications

(9 citation statements)

References 27 publications

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“…Land use land cover (LULC) classification [33], changes detection [11,12,[34][35][36][37][38], and its impact on water reservoirs were studied by Musaoglu, Moniruzzaman to help authorities and decision makers in changing quality conditions of reservoirs [39,40].…”

Section: Hydrology and Water Resource Engineeringmentioning

confidence: 99%

Progress and Trends in Image Processing Applications in Civil Engineering: Opportunities and Challenges

Salunkhe

Gobinath²,

Vinay³

et al. 2022

Advances in Civil Engineering

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Technological advancements in electronic storage have been trending for cloud computing. The revolution of this computer technology with machine learning and artificial intelligence has created prodigious platforms to the various disciplines of science and technology. Civil engineering is the oldest discipline, and due to the never-ending demand of this domain, it is rapidly adapting to newer computer techniques like image processing, deep learning, big data analysis, neural networks, building information modeling (BIM), unmanned aerial vehicle (UAV) system, digital image correlation (DIC), and many more. In the current paper, we portrayed the primary research and achievements of AI and image processing applications in the civil domain. The paper is divided in two parts. The first part provides analysis of existing methods along with examples relevant to the civil domain where it is incorporated. The second part elaborates scientometric study constituting 605 documents (Science Direct database) published in the last two decades. The bibliometrics are further used for producing analytical frameworks based on publications, citations, top journals, top institutions, and funding sources. This study serves as a guide for readers to identify research gaps and use the review for potential future study.

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Section: Hydrology and Water Resource Engineeringmentioning

confidence: 99%

Progress and Trends in Image Processing Applications in Civil Engineering: Opportunities and Challenges

Salunkhe

Gobinath²,

Vinay³

et al. 2022

Advances in Civil Engineering

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“…The matrix tool in ERDAS IMAGINE allows one to check any change in land cover classes between certain times by applying a post-classification change-detection algorithm to the classified images [ 34 ]. The obtained transition matrix is a table containing a systematic array of land cover categories from the initial phase to the final phase [ 35 ]. To identify the main conversion directions and highlight the dominant dynamic events in the landscape changes, we used the ERDAS IMAGINE matrix tool (Version 9.2, ERDAS, Redlands, CA, USA) to generate transfer matrices in different periods.…”

Section: Study Data and Methodsmentioning

confidence: 99%

Landscape Evolution and It’s Impact of Ecosystem Service Value of the Wuhan City, China

Chen

Huang

2021

IJERPH

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Rapid urbanization and industrialization and enhanced ecological protection measures have greatly influenced landscape change, which has exacerbated regional landscape competition and conflicts and indirectly affected the supply of ecosystem services. Clarifying the relationship between ecosystem service change and landscape change is useful for understanding the impact of ecosystem conversion on socio-economic development and providing a knowledge base for relevant policy decisions. In this study, we used remote sensing technology to process Landsat TM/ETM+/OLI imageries, combined with transformation analysis and kernel density analysis to study the spatial and temporal characteristics of land use change in Wuhan City from 1980 to 2020. We also estimated the ESV in the region using the improved unit area value equivalent method to reveal the trends of ESV changes in Wuhan. The results showed that land use changes in Wuhan during 1980–2020 occurred mainly in terms of decreases in farmland, forestland, and bare land, as well as increases in built-up land and water bodies. The built-up land was mainly concentrated in the main urban areas, but its area in each suburban area has increased in recent years. In contrast, farmland was mainly distributed in suburban areas, and its area has been decreasing in recent years due to the impact of urban expansion. However, the reduction is compensated for by the reclamation of ecological land such as grassland and forestland, which has aggravated the loss of ecosystem service values in the study area. In addition, human activities such as urban expansion have increased the demand for water resources, while also leading to ecological problems such as water scarcity and water quality degradation, which have caused serious losses to key ecosystem services in Wuhan city. Therefore, in order to alleviate the competition and conflicts in the landscape and mitigate the loss of ecosystem service values in this area, we have proposed some constructive suggestions for future urban planning and water quality improvements in Wuhan. The focus of these suggestions is on controlling the expansion of built-up land, as well as the conservation of ecological land and resource protection. Meanwhile, our findings can also provide reference information for land resource planning and ecological monitoring, and help researchers to understand the contribution of ecosystem service functions in relation to socio-economic development.

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“…The producer's accuracy is a measure of how well a certain area is classified. The consumer's or user's accuracy is a measurement of the reliability of the classification or probability (Bagwan & Sopan Gavali, 2021).…”

Section: Validity and Reliability Of Visual Analysis And Google Histo...mentioning

confidence: 99%

The Trends and Magnitude of Tree Plantation Growing in Rural Communities of Kigezi Sub-region, South Western Uganda

Tumushabe

Rogers²,

Bwanika³

et al. 2023

East Afr. j. for. agrofor.

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The study documents the trends and magnitude of tree plantation growth in the Kigezi Sub-region of South Western Uganda. In most developing countries, national governments have been promoting and supporting rural communities with tree-planting programs in the region. A trend analysis was used to determine the escalating tree plantation growth in the sub-region. Landsat (TM/ETM+) satellite images were used to capture the trends, and a survey was also used to obtain information on the distribution patterns of established tree plantations. A randomly selected sample of 389 tree plantation growers was surveyed. The research approaches adopted were to supplement and strengthen the findings and also to provide an opportunity for the researcher to understand in-depth how tree plantations grow in the rural livelihood economy. Recommendations from this study emphasise the strengthening of the existing policy reforms. Also, interventions to harness sustainable forestry management should be used to provide integrated benefits to all, ranging from safeguarding local livelihoods to protecting the biodiversity and ecosystems provided by forests and reducing rural poverty in the Kigezi sub-region

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Dam-triggered Land Use Land Cover change detection and comparison (transition matrix method) of Urmodi River Watershed of Maharashtra, India: a Remote Sensing and GIS approach

Cited by 26 publications

References 27 publications

Progress and Trends in Image Processing Applications in Civil Engineering: Opportunities and Challenges

Progress and Trends in Image Processing Applications in Civil Engineering: Opportunities and Challenges

Landscape Evolution and It’s Impact of Ecosystem Service Value of the Wuhan City, China

The Trends and Magnitude of Tree Plantation Growing in Rural Communities of Kigezi Sub-region, South Western Uganda

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