scholarly journals Evaluating The Relationship Between Spatial Temporal Land Use Changes And Climate Pattern Of Nilgiris District

2021 ◽  
Vol 23 (09) ◽  
pp. 381-390
Author(s):  
M.Suguna Devakumari ◽  
◽  
S. Carolin Jeeva ◽  
R.Susan Poonguzhali ◽  
◽  
...  
Keyword(s):  
Land Use ◽  
Tamil Nadu ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Current Trend ◽  
Remote Sensing Images ◽  
Landsat 7 ◽  
The Nilgiris ◽  
The Impact ◽  
The Relationship

Due to deforestation, urbanization and land use changes, the Nilgiris district of Tamil Nadu has been impacted by climate variation. This study was carried out to explore the impact of the land use changes in Nilgiris District from 2011 to 2017using remote sensing images acquired from Landsat 7. Temperature and rainfall data of the study area were also obtained from IMD Pune. The results show that the current trend of decreasing forest area and increasing agricultural land, and the area also experienced a temperature increase of 0.4 ◦C between 2011 and 2017. This study is crucial for land planners and environmentalists to understand the impacts of land use change on the climate in Nilgiris District.

scholarly journals Parallel Cellular Automata Markov Model for Land Use Change Prediction over MapReduce Framework

2019 ◽  
Vol 8 (10) ◽  
pp. 454 ◽  
Author(s):  
Junfeng Kang ◽  
Lei Fang ◽  
Shuang Li ◽  
Xiangrong Wang
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Cellular Automata ◽  
Markov Model ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Remote Sensing Images ◽  
Mapreduce Framework ◽  
Construction Land ◽  
Model Based

The Cellular Automata Markov model combines the cellular automata (CA) model’s ability to simulate the spatial variation of complex systems and the long-term prediction of the Markov model. In this research, we designed a parallel CA-Markov model based on the MapReduce framework. The model was divided into two main parts: A parallel Markov model based on MapReduce (Cloud-Markov), and comprehensive evaluation method of land-use changes based on cellular automata and MapReduce (Cloud-CELUC). Choosing Hangzhou as the study area and using Landsat remote-sensing images from 2006 and 2013 as the experiment data, we conducted three experiments to evaluate the parallel CA-Markov model on the Hadoop environment. Efficiency evaluations were conducted to compare Cloud-Markov and Cloud-CELUC with different numbers of data. The results showed that the accelerated ratios of Cloud-Markov and Cloud-CELUC were 3.43 and 1.86, respectively, compared with their serial algorithms. The validity test of the prediction algorithm was performed using the parallel CA-Markov model to simulate land-use changes in Hangzhou in 2013 and to analyze the relationship between the simulation results and the interpretation results of the remote-sensing images. The Kappa coefficients of construction land, natural-reserve land, and agricultural land were 0.86, 0.68, and 0.66, respectively, which demonstrates the validity of the parallel model. Hangzhou land-use changes in 2020 were predicted and analyzed. The results show that the central area of construction land is rapidly increasing due to a developed transportation system and is mainly transferred from agricultural land.

Assessing the impact of agricultural land use changes on water quality

1999 ◽  
Vol 40 (2) ◽  
pp. 1-10 ◽  
Author(s):  
R. Meissner ◽  
J. Seeger ◽  
H. Rupp ◽  
H. Balla
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Agricultural Land Use ◽  
N Loss ◽  
Ground Water Recharge ◽  
Catchment Areas ◽  
One Year ◽  
The Impact

To study and predict environmental impacts of land use changes on water quality we conducted different types of lysimeter experiments. All of them are linked to representative experimental catchment areas in the field. This allows the verification and extrapolation of lysimeter results. The objective of this paper is to discuss a strategy for using and scaling-up of lysimeter results to a field and catchment scale. It will be shown that the N-loss determined with lysimeters falls within the variation of N-balance based model calculations, and also within ground water recharge rates calculated with models commonly used in hydrology. Extrapolation of lysimeter data to a catchment with similar soils provides a reliable basis for estimating the N-leaching caused by a change in agricultural land use. On the basis of the N-loss from the soil and the N-load of the stream, the calculations show that an increase in the proportion of one year rotation fallow from 10 to 25% results in nearly a 10% increase in the N-load of the stream. However, from the point of view of protecting drinking water quality, rotation fallow for one year is not recommended because of the resulting intensified leaching of nitrates.

scholarly journals The Influence of Riparian Corridor Land Use on the Pesquería River’s Macroinvertebrate Community (N.E. Mexico)

Water ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1930
Author(s):  
Daniel Castro-López ◽  
Pablo Rodríguez-Lozano ◽  
Rebeca Arias-Real ◽  
Víctor Guerra-Cobián ◽  
Narcís Prat
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Freshwater Ecosystems ◽  
Urban Land Use ◽  
Macroinvertebrate Community ◽  
Biological Information ◽  
Macroinvertebrate Communities ◽  
Biological Metrics ◽  
The Impact

The Earth’s freshwater ecosystems are currently under threat, particularly in developing countries. In Mexico, intensive land use and inadequate monitoring policies have resulted in the severe degradation of the country’s freshwater ecosystems. This study assesses how the macroinvertebrate communities in the Pesquería River, located in Northeastern Mexico, are affected by riparian land use, in order to determine their potential use as bioindicators to evaluate the macroinvertebrate integrity of the Pesquería River. First, we characterized the land use cover in the riparian channel. Second, we sampled 16 sites for benthic macroinvertebrates along the main channel during the wet and dry seasons. Third, we evaluated the influence of the riparian channel land use on the macroinvertebrate community using 42 different biological metrics. The land use characterization depicted a riparian channel mainly influenced by agricultural and urban land use. Eighty-one invertebrate taxa were identified during the study. Permutational analysis of the variance analysis confirmed significant differences across the different land use classes and the macroinvertebrate community composition while no differences were found between seasons. The indicator species analysis revealed 31 representative taxa for natural land use, 1 for urban, and 4 for agricultural land use. Our modelling analysis showed that 28 of the 42 biological metrics tested responded significantly to land use disturbances, confirming the impact of land use changes on the Pesquería River’s macroinvertebrate communities and suggesting that these metrics may have a use as bioindicators. Finally, this study may provide significant biological information for further studies in similar conditions.

scholarly journals Exploring an integrated spatially model for land-use scenarios simulation in a metropolitan region

2021 ◽  
Author(s):  
H Dadashpoor ◽  
Hossein Panahi
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Land Use Changes ◽  
Current Trend ◽  
Driving Factors ◽  
Metropolitan Region ◽  
Future Scenarios ◽  
Agricultural Lands ◽  
Ecological Resources ◽  
The Impact

Spatial simulation of land-use change scenarios in metropolitan areas is essential for analyzing both the causes and consequences of various future scenarios and is also valuable for land-use planning and management. However, current simulation models primarily focus on spatial and rarely on quantitative driving factors. This article aims to simulate future scenarios of land-use changes in the Tehran metropolitan region (TMR) by combining different models to fill this gap. Thus, in the first step, land-use changes were analyzed in the period 1985, 2000, and 2015. Then, by identifying the impact of driving factors and land-use transition potentials with Logistic regression (LR), land-use changes were allocated using the Cellular Automata (CA) method. Finally, with the validation of the model, four scenarios of the current trend(CT), socioeconomic growth(SEG), ecological-oriented(EO), and integrated development(ID) were suggested with the combination of the System Dynamic (SD) model. The results show that the trend of land-use changes in TMR has led to the destruction of grassland, agricultural, and uncultivated lands and the continuation of this trend will increase the damage of built-up areas on valuable natural and ecological resources. In this way, proximity to roads, distance from built-up areas, and natural factors had the greatest impact on changes. Based on future scenarios in 2030, the change in the SEG-scenario shows a rapid increase in built-up areas (2858km and encroachment on agricultural lands (2171km . In the EO-scenario, destruction of grassland and agricultural lands and the growth of built-up areas will be limited, while CT-scenario leads to the high growth of built-up areas along with destructive impacts on natural and open spaces. In the ID-scenario, the built-up areas and grasslands will increase to 2808km and 7438km , respectively. Accordingly, policy-makers can use simulation of different scenarios to mitigate probable consequences of land-use changes in the metropolitan regions. 2) 2) 2 2

scholarly journals Land-Use Change Analysis of National Southern Cross Road Route Development in Bantul Regency

2021 ◽  
Vol 325 ◽  
pp. 07001
Author(s):  
Utia Kafafa ◽  
Rika Harini
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Spatial Dynamics ◽  
Specific Pattern ◽  
Change Analysis ◽  
The Road ◽  
Quantitative Descriptive ◽  
The Impact

The National Southern Cross Road Route well known as Jalan Jalur Lintas Selatan (JJLS) in Indonesia. The segment which crosses Bantul Regency has 16.65 km long. The development of JJLS will have various kinds of impacts on the community around the road infrastructure. This study wants to know how the impact of the development that saw from the spatial dynamics of land-use change. The study area is located in Poncosari, Gadingsari, Srigading, Tirtohargo, and Parangtritis Village. We process the data using the map overlay technique then analyze it with quantitative descriptive. The results of this study are the development of JJLS in Bantul Regency has not significantly affected the land-use changes. It is evident from the location of the land-use change which is far from the road and tends to be disheveled. The Land-use changes that occur do not form a specific pattern such as the pattern of conversion of agricultural land into non-agricultural land. The less significant changes in land use are caused by the condition of the JJLS which is not yet fully connected. Moreover, the status of land ownership around JJLS is Sultan Ground so a special permit is needed if the community wants to use the land.

scholarly journals THE RELATIONSHIP OF LAND USE CHANGES AND LAND SURFACE TEMPERATURE FOR URBAN AREA IN KUCHING, SARAWAK

2021 ◽  
Vol 19 ◽  
Author(s):  
Abdullah Sufi Ali ◽  
Farah Zaini ◽  
Mohd Azizul Hafiz Jamian
Keyword(s):  
Land Use ◽  
Surface Temperature ◽  
Case Studies ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Land Use Changes ◽  
Secondary Data ◽  
Landsat 7 ◽  
Relationship Of ◽  
The Relationship

Land surface temperature (LST) is used as an indicator for land temperature.Previous research demonstrates a strong correlation between urban growth andland surface temperature. The rising of land temperature will lead to urban heatisland if there are no preventative precautions done. Due to the area's rapidurbanisation, this study will focus on Kuching City. Matang Jaya, Tabuan Jaya,Satok, and Batu Kawa were chosen as case studies. These areas are rapidlydeveloping, with new townships and population growth. The Landsat 7 data setwas used as secondary data in this study. Spatial and thermal analysis wereperformed on the output using ERDAS software and ArcGIS. The analysesderived land use changes between 2005 and 2017, temperature statistics for landuse types, and LST retrieval for case studies. The result indicates that the landsurface temperature increased with the case studies' physical development.

The impact of two decades of land-use changes in potential ecosystem services supply in a Portuguese municipality - Coimbra

2020 ◽  
Author(s):  
Inês Amorim Leitão ◽  
Carla Sofia Santos Ferreira ◽  
António José Dinis Ferreira
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Urban Areas ◽  
Agricultural Land ◽  
Urban Expansion ◽  
Land Use Changes ◽  
Qualitative Evaluation ◽  
Well Being ◽  
Positive Potential ◽  
The Impact

<p>Land-use changes affect the properties of ecosystems, and are typically associated with decreasing ability to supply services, which in turn causes a decrease in the social well-being. Urbanization is identified as one of the main causes of ecosystem degradation, once it is considered an artificial space that replaces natural areas.This study investigates the impact of land-use changes during 20 years (1995-2015) on the potential supply of ecosystem services in Coimbra municipality, central Portugal. The assessment was based on the evaluation performed by 31 experts familiar with the study area, through questionnaires. The experts ranked the potential supply of 31 ecosystem services, grouped in regulation, provisioning and cultural services, for the several land-uses existent. Experts performed a qualitative evaluation, considering ‘strong adverse potential’, ‘weak adverse potential’, ‘not relevant’, ‘low positive potential’ and ‘strong positive potential’. The qualitative evaluation was converted into a quantitative classification (-2, -1, 0, 1, 2). Quantitative values were then used to develop an ecosystem services quantification matrix and to map the information in the study area, using Geographic Information Systems (GIS). An urban expansion from 14% to 18% was recorded over the last 20 years. Agricultural land decreased 8% due to conversion into forest (4% increase) and urban areas (4% increase). This has led to a decrease in the supply of provision (e.g. food) and regulation services (e.g. flood regulation). In fact, over the last years, recurrent floods have been increasingly noticed in Coimbra city. On the other hand, the growth of forest areas has led to an increase in general ESs supply. The adverse impacts of urbanization were partially compensated by enlarging the benefits provided by forest areas, which is the land-use with greatest ESs potential supply. In order to support urban planning and develop sustainable cities, it is essential to quantify the potential supply of ecosystem services considering local scale and characteristics.</p>

scholarly journals Agricultural Crop Change in the Willamette Valley, Oregon, from 2004 to 2017

Data ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. 17
Author(s):  
Bogdan M. Strimbu ◽  
George Mueller-Warrant ◽  
Kristin Trippe
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Cropping Systems ◽  
Landsat 8 ◽  
Agricultural Crop ◽  
Agricultural Crops ◽  
Willamette Valley ◽  
Remote Sensing Classification ◽  
Landsat 7 ◽  
The Impact

The Willamette Valley, bounded to the west by the Coast Range and to the east by the Cascade Mountains, is the largest river valley completely confined to Oregon. The fertile valley soils combined with a temperate, marine climate create ideal agronomic conditions for seed production. Historically, seed cropping systems in the Willamette Valley have focused on the production of grass and forage seeds. In addition to growing over two-thirds of the nation’s cool-season grass seed, cropping systems in the Willamette Valley include a diverse rotation of over 250 commodities for forage, seed, food, and cover cropping applications. Tracking the sequence of crop rotations that are grown in the Willamette Valley is paramount to answering a broad spectrum of agronomic, environmental, and economical questions. Landsat imagery covering approximately 25,303 km2 were used to identify agricultural crops in production from 2004 to 2017. The agricultural crops were distinguished by classifying images primarily acquired by three platforms: Landsat 5 (2003–2013), Landsat 7 (2003–2017), and Landsat 8 (2013–2017). Before conducting maximum likelihood remote sensing classification, the images acquired by the Landsat 7 were pre-processed to reduce the impact of the scan line corrector failure. The corrected images were subsequently used to classify 35 different land-use classes and 137 unique two-year-long sequences of 57 classes of non-urban and non-forested land-use categories from 2004 through 2014. Our final data product uses new and previously published results to classify the western Oregon landscape into 61 different land use classes, including four majority-rule-over-time super-classes and 57 regular classes of annually disturbed agricultural crops (19 classes), perennial crops (20 classes), forests (13 classes), and urban developments (5 classes). These publicly available data can be used to inform and support environmental and agricultural land-use studies.

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