Land Use Changes Monitoring Over 30 Years and Prediction of Future Changes Using Multi-Temporal Landsat Imagery and the Land Change Modeler Tools in Rafsanjan City (Iran)

Mehrabi, Ali; Khabazi, Mostafa; ALMODARESI, Ali; NOHESARA, Maryam; Derakhshani, Reza

doi:10.21177/1998-4502-2019-11-1-26-35

Cited by 10 publications

(11 citation statements)

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“…Thirty kilometers of the 200 km Anar fault is located in the study area (Figure 1). Anar city, northwest of Rafsanjan, with its population of over 50,000 people, is located near this fault [53]. The study area has hot and dry regions in terms of climate, with the average annual rainfall not exceeding 100 mm.…”

Section: Study Area Fault Specifications and Tectonic Settingmentioning

confidence: 99%

Incorporating Persistent Scatterer Interferometry and Radon Anomaly to Understand the Anar Fault Mechanism and Observing New Evidence of Intensified Activity

et al. 2021

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Interferometric Synthetic Aperture Radar (InSAR) monitors surface change and displacement over a large area with millimeter-level precision and meter-level resolution. Anar fault, with a length of ~200 km, is located in central Iran. Recent seismological studies on the fault indicated that it is approaching the end of its seismic cycle. Although a large earthquake is imminent, the mechanism of the fault is not well understood. Therefore, understanding and discovering the mechanism of Anar fault remains a challenge. Here, we present an approach of displacement fault analysis utilizing a combination of InSAR data obtained from the persistent scatterer interferometry (PSI) method and 178 Sentinel-1 images (ascending and descending) (2017–2020). We incorporated groundwater samples from 40 wells, radon concentration anomaly mapping, Global Positioning System (GPS), and 3D displacement measurement acquired over four years (2016–2020). We investigated and monitored the deformation of the fault plate’s behavior over the last three years (2017–2020) to explore new evidence and signature of displacement. The results show that the time series analysis in the fault range has an increasing displacement rate in all dimensions. We observed that the line-of-sight (LOS) displacement rate varied from −15 mm to 5 mm per year. Our calculations show that the E–W, N–S, and vertical displacement rates of the fault blocks are 2 mm to −2 mm, 6 mm to −6 mm, and 2 mm to −4 mm per year, respectively. An anomaly map of the radon concentration shows that the complete alignment of the high concentration ranges with the fault strike and the radon concentration increased on average from 23.85 Bq/L to 25.30 Bq/L over these three years. Therefore, we predict rising the radon concentration is due to the increase in activity which resulted in a deformation. Finally, our findings show that the Anar fault is an oblique and right-lateral strike-slip with a normal component mechanism. We validated the proposed method and our results by comparing the GPS field data and PSI measurements. The root mean square error (RMSE) of the PSI measurement is estimated to be 0.142 mm. Based on the supporting evidence and signature, we conclude that the Anar fault activity increased between 2017 and 2020.

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Section: Study Area Fault Specifications and Tectonic Settingmentioning

confidence: 99%

Incorporating Persistent Scatterer Interferometry and Radon Anomaly to Understand the Anar Fault Mechanism and Observing New Evidence of Intensified Activity

et al. 2021

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“…LCM is an Idrisi software module that provides a robust set of tools for analyzing land cover changes, predicting future scenarios and the speci c needs for biodiversity conservation in the face of changes (EASTMAN, 2012). LCM module is based on the analysis of arti cial neural networks, having advantages over traditional computational methods (MEHRABI et al, 2019).…”

Section: Database Collection Standardization and Processingmentioning

confidence: 99%

Deforestation in the Legal Amazon: The Impacts of Human Action on the Regional Climate Scenario

Ferreira

Silva

Santos

et al. 2021

Preprint

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The Legal Amazon was established by the Brazilian government in 1953, in order to plan and provide for the social and economic development of the Amazon region. This is a region of great importance due to the maintenance of biogeochemical cycles that the forest exercises and for being a biodiversity hotspot. Amazon has been suffering from an intense and rapid change in land use and coverage, where deforestation and forest fragmentation stem from the agriculture expansion and wood exploitation. Therefore, this work aimed to identify and measure changes in the hydrological cycle and in the dynamics of climatic elements caused by human activities in the Legal Amazon. In addition, predictions of land use and land cover conditions were made for the years 2040, 2070 and 2099 allowing the knowledge of the level of long-term deforestation in this area. To achieve the objective, data from the study area were collected and standardized. The data was processed and compared, using the Land Change Modeler and Earth Trends Modeler modules. The results obtained by the modules are interrelated. Hydrological and climatic variables are impacted by changes in land use and coverage, from the expansion anthropic activities over natural vegetation, mainly in the area defined in this study, where the direct impact on NDVI is evident. These results corroborate to show that, in the legal Amazon, the forest has a direct influence on the climate. In this context, the failure to adopt conservationist practices and contain the natural forest suppression, increases deforestation, causing changes in the variables studied, tending to a worsening of climatic conditions.

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“…Analysis of land use changes using geomatic techniques for different aspects [44][45][46][47][48][49] has great importance, both for the components of the natural environment and from a socioeconomic point of view. The importance consists of the fact that it allows the evaluation of the current state, but also the evolution trends of the analysed territory.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Impact of Population Reduction on Grasslands with a New “Tool”: A Case Study on the “Mountainous Banat” Area of Romania

Cojocariu,

Copăcean,

Ursu

et al. 2024

Land

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The landscapes and, implicitly, the surfaces of secondary grasslands in the mountain areas have been intensively modified and transformed by humans. In this context, this paper analyses the spatial and temporal changes of grassland surfaces following the impact of human population reduction. Thus, the study proposes the implementation of the Grassland Anthropic Impact Index (GAII) as a “measurement tool” to functionally link the two components, grassland surface and human population. The spatiotemporal analyses are based on Corine Land Cover data and demographic data, processed via Geographic Information Systems (GIS) methods and the Land Change Modeler (LCM) tool. The research shows that over a period of 28 years, the population, which was continuously decreasing, caused a series of transformations to the grasslands over an area of 33343 ha. The influence of the reduction in the number of inhabitants was also demonstrated by the direction of the changes produced in the grassland surfaces: in the better populated areas, the grasslands expanded over lands with other uses, and in the sparsely populated areas, they were abandoned. GAII values generally increase with the decrease of the population in the target area, meaning that for an inhabitant (potential user) a greater grassland surface is reported, resulting in a greater responsibility for the management of this resource on a space and time scale. Following the evaluation of the trend of the last 28 years, it was observed that the depopulation of mountain areas can be seen as a threat to grassland ecosystems, either through the transition to other categories of use, or through abandonment. The implications of these phenomena are much broader: they produce chain reactions and affect other components of the regional geosystem.

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Land Use Changes Monitoring Over 30 Years and Prediction of Future Changes Using Multi-Temporal Landsat Imagery and the Land Change Modeler Tools in Rafsanjan City (Iran)

Cited by 10 publications

References 0 publications

Incorporating Persistent Scatterer Interferometry and Radon Anomaly to Understand the Anar Fault Mechanism and Observing New Evidence of Intensified Activity

Incorporating Persistent Scatterer Interferometry and Radon Anomaly to Understand the Anar Fault Mechanism and Observing New Evidence of Intensified Activity

Deforestation in the Legal Amazon: The Impacts of Human Action on the Regional Climate Scenario

Assessment of the Impact of Population Reduction on Grasslands with a New “Tool”: A Case Study on the “Mountainous Banat” Area of Romania

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