Climatic and Other Global Changes as Current Challenges in Improving Water Systems Management: Lessons from the Case of Italy

Rossi, Giuseppe; Peres, David J.

doi:10.1007/s11269-023-03424-0

Cited by 13 publications

(2 citation statements)

References 41 publications

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“…Weatherbit 12 provides an Agriculture Weather Forecast API, furnishing 8-day weather forecasts specifically tailored for the agriculture industry, thereby supporting informed decision-making by farmers. Rossi et al 13 employ a GIS-based geopedological approach to evaluate land suitability for chestnut groves, effectively demonstrating the role of GIS in promoting sustainable rural development.…”

Section: Literature Reviewmentioning

confidence: 99%

A fusion approach using GIS, green area detection, weather API and GPT for satellite image based fertile land discovery and crop suitability

Balasundaram,

Abdul Aziz,

Gupta

et al. 2024

Sci Rep

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Proper utilization of agricultural land is a big challenge as they often laid over as waste lands. Farming is a significant occupation in any country and improving it further by promoting more farming opportunities will take the country towards making a huge leap forward. The issue in achieving this would be the lack of knowledge of cultivable land for food crops. The objective of this work is to utilize modern computer vision technology to identify and map cultivable land for agricultural needs. With increasing population and demand for food, improving the farming sector is crucial. However, the challenge lies in the lack of suitable land for food crops cultivation. To tackle this issue, we propose to use sophisticated image processing techniques on satellite images of the land to determine the regions that are capable of growing food crops. The solution architecture includes enhancement of satellite imagery using sophisticated pan sharpening techniques, notably the Brovey transformation, aiming to transform dull satellite images into sharper versions, thereby improving the overall quality and interpretability of the visual data. Making use of the weather data on the location observed and taking into factors like the soil moisture, weather, humidity, wind, sunlight times and so on, this data is fed into a generative pre-trained transformer model which makes use of it and gives a set of crops that are suitable to be grown on this piece of land under the said conditions. The results obtained by the proposed fusion approach is compared with the dataset provided by the government for different states in India and the performance was measured. We achieved an accuracy of 80% considering the crop suggested by our model and the predominant crop of the region. Also, the classification report detailing the performance of the proposed model is presented.

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Section: Literature Reviewmentioning

confidence: 99%

A fusion approach using GIS, green area detection, weather API and GPT for satellite image based fertile land discovery and crop suitability

Balasundaram,

Abdul Aziz,

Gupta

et al. 2024

Sci Rep

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“…Thus, it is believed that climate change closely connects to a region's water-related climatic system that directly determines its water security and vulnerabilities. Additionally, a previous study also identified a strong relationship between urban water stress risks and the water-energy-food (WEF) nexus [10]. Similarly, research has a long history of identifying the relationship between the effects of climate change on the water resources of the Colorado River basin [11].…”

Section: Introductionmentioning

confidence: 96%

Evaluation of Future-Integrated Urban Water Management Using a Risk and Decision Analysis Framework: A Case Study in Denver–Colorado Metro Area (DCMA)

He,

Zheng,

Guan

2023

Water

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This study examines the DCMA concerning the future risk of the water security status. We considered three risk factors: population growth, economic growth, and natural water supply–demand differences. In the risk analysis part, we consulted with experts from several sectors including academia, Non-Governmental Organizations (NGOs), and industry, to predict that the probability of future water stresses in high-, medium-, and low-risk scenarios are 0.73, 0.24, and 0.03, respectively. In the decision analysis part, we adopted two multiple criteria decision analysis (MCDA) approaches that include multiple attribute value theory (MAVT) and analytic hierarchy process (AHP) methods to evaluate the best alternative decision to alleviate future water stresses in the DCMA. The sensitivity analysis demonstrates that, although expanding existing water reservation might be a solution to tackle the challenge, the best option really closely connects to the weighting scheme of the criteria considered in the framework. This study provides a valuable risk and decision analysis framework to analyze the water security status associated with the future water supply and demand gap decrease caused by three risk factors: population growth, climate change, and natural water supply.

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Integrated Water Resources Management (IWRM) in the Geospatial Epoch: An Ontological Dive into Sustainable Hydrological Governance

Shukla,

Tripathi,

Nagavi

et al. 2024

Sustainable Development and Geospatial Technology

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Climatic and Other Global Changes as Current Challenges in Improving Water Systems Management: Lessons from the Case of Italy

Cited by 13 publications

References 41 publications

A fusion approach using GIS, green area detection, weather API and GPT for satellite image based fertile land discovery and crop suitability

A fusion approach using GIS, green area detection, weather API and GPT for satellite image based fertile land discovery and crop suitability

Evaluation of Future-Integrated Urban Water Management Using a Risk and Decision Analysis Framework: A Case Study in Denver–Colorado Metro Area (DCMA)

Integrated Water Resources Management (IWRM) in the Geospatial Epoch: An Ontological Dive into Sustainable Hydrological Governance

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