LAND USE CHANGE OVER TIME IN CHIANG MAI PROVINCE, THAILAND

2019 ◽  
Vol 54 (2) ◽  
pp. 255-272
Author(s):  
K. Sirikantisophon ◽  
W. Wanishsakpong ◽  
P. Chuangchang ◽  
O. Thinnukool
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Chiang Mai ◽  
Change Over Time ◽  
Chiang Mai Province ◽  
Over Time

Evaluation of the land use evolution near solid waste landfills using a new weighted environmental index based on GIS techniques

2021 ◽  
Author(s):  
Javier Rodrigo-Ilarri ◽  
Claudia P. Romero-Hernández ◽  
María-Elena Rodrigo-Clavero
Keyword(s):  
Land Use ◽  
Statistical Analysis ◽  
Land Use Change ◽  
Solid Waste ◽  
Aerial Photographs ◽  
Environmental Index ◽  
Land Occupation ◽  
Gis Techniques ◽  
Anthropogenic Intervention ◽  
Over Time

<p>Land use in the nearby of a Municipal Solid Waste (MSW) landfill can be strongly affected by the waste management tasks (transport, landfilling and closure). Effects extend from the phases prior to the construction of the landfill until years after the completion of the landfilling process in areas located beyond the perimeter of the plot occupied by the landfill. In this work a new methodology for the analysis of land use change over time is presented. The methodology is based on the use of a new environmental index named WEI (Weighted Environmental Index). WEI is based on the use of GIS techniques accounting for different information sources (digital cartography, aerial photographs and satellite images). WEI assigns environmental values to land use based on the degree of anthropogenic intervention and its occupation surface. A georeferenced multitemporal statistical analysis is performed considering the values of WEI previously assigned to every land use. The methodology has been applied to analyze the land use change near the main MSW landfills of Valencia Region (Spain) where landfilling is currently the only waste disposal technique available. Data have been obtained from the Spanish Land Occupation Information System (SIOSE) public database and integrate GIS information about land use/land cover on an extensive, high-detailed scale. Results demonstrate the application of the WEI to real case studies and the importance of integrating statistical analysis of WEI evolution over time to arrive at a better understanding of the socio-economic and environmental processes that induce land-use change.</p>

scholarly journals Land Use/Land Cover Assessment over Time Using a New Weighted Environmental Index (WEI) Based on an Object-Oriented Model and GIS Data

2020 ◽  
Vol 12 (24) ◽  
pp. 10234
Author(s):  
Javier Rodrigo-Ilarri ◽  
Claudia P. Romero ◽  
María-Elena Rodrigo-Clavero
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Land Cover ◽  
Case Studies ◽  
Object Oriented ◽  
Land Use Land Cover ◽  
Environmental Index ◽  
Land Occupation ◽  
Gis Data ◽  
Over Time

For the first time, this paper introduces and describes a new Weighted Environmental Index (WEI) based on object-oriented models and GIS data. The index has been designed to integrate all the available information from extensive and detailed GIS databases. After the conceptual definition of the index has been justified, two applications for the regional and local scales of the WEI are shown. The applications analyze the evolution over time of the environmental value from land-use change for two different case studies in Spain: the Valencian Region and the L’Alcora municipality. Data have been obtained from the Spanish Land Occupation Information System (SIOSE) public database and integrate GIS information about land use/land cover on an extensive, high-detailed scale. Results demonstrate the application of the WEI to real case studies and the importance of integrating statistical analysis of WEI evolution over time to arrive at a better understanding of the socio-economic and environmental processes that induce land-use change.

scholarly journals HistMapR: Rapid digitization of historical land-use maps in R

2017 ◽  
Author(s):  
Alistair G. Auffret ◽  
Adam Kimberley ◽  
Jan Plue ◽  
Helle Skånes ◽  
Simon Jakobsson ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Service Provision ◽  
Habitat Destruction ◽  
Raster Image ◽  
Different Types ◽  
Historical Land Use ◽  
Time Periods ◽  
Over Time ◽  
Land Use Maps

Abstract1. Habitat destruction and degradation represent serious threats to biodiversity, and quantification of land-use change over time is important for understanding the consequences of these changes to organisms and ecosystem service provision.2. Comparing land use between maps from different time periods allows estimation of the magnitude of habitat change in an area. However, digitizing historical maps manually is time-consuming and analyses of change are usually carried out at small spatial extents or at low resolutions.3. We developed a method to semi-automatically digitize historical land-use maps using the R environment. We created a number of functions that use the existing raster package to classify land use according to a map’s colours, as defined by the RGB channels of the raster image. The method was tested on three different types of historical land-use map and results were compared to manual digitisations.4. Our method is fast, and agreement with manually-digitised maps of around 80-92% meets common targets for image classification. We hope that the ability to quickly classify large areas of historical land-use will promote the inclusion of land-use change into analyses of biodiversity, species distributions and ecosystem services.

scholarly journals Valuation of Ecosystem Services in South Africa, 2001–2019

2021 ◽  
Vol 13 (20) ◽  
pp. 11262
Author(s):  
Mohamed A. M. Abd Elbasit ◽  
Jasper Knight ◽  
Gang Liu ◽  
Majed M. Abu-Zreig ◽  
Rashid Hasaan
Keyword(s):  
South Africa ◽  
Land Use ◽  
Ecosystem Services ◽  
Land Use Change ◽  
Land Cover ◽  
Ecosystem Service ◽  
Economic Value ◽  
Economic Changes ◽  
Sensing Model ◽  
Over Time

Although changes in ecosystems in response to climate and land-use change are known to have implications for the provision of different environmental and ecosystem services, quantifying the economic value of some of these services can be problematic and has not been widely attempted. Here, we used a simplified raster remote sensing model based on MODIS data across South Africa for five different time slices for the period 2001–2019. The aims of the study were to quantify the economic changes in ecosystem services due to land degradation and land-cover changes based on areal values (in USD ha−1 yr−1) for ecosystem services reported in the literature. Results show progressive and systematic changes in land-cover classes across different regions of South Africa for the time period of analysis, which are attributed to climate change. Total ecosystem service values for South Africa change somewhat over time as a result of land-use change, but for 2019 this calculated value is USD 437 billion, which is ~125% of GDP. This is the first estimation of ecosystem service value made for South Africa at the national scale. In detail, changes in land cover over time within each of the nine constituent provinces in South Africa mean that ecosystem service values also change regionally. There is a clear disparity between the provinces with the greatest ecosystem service values when compared to their populations and contribution to GDP. This highlights the potential for untapped ecosystem services to be exploited as a tool for regional sustainable development.

Malaria vector densities in transmission and non-transmission areas during 23 years and land use in Chiang Mai province, Northern Thailand

2002 ◽  
Vol 3 (3) ◽  
pp. 197-207 ◽  
Author(s):  
Wannapa Suwonkerd ◽  
Hans J. Overgaard ◽  
Yoshio Tsuda ◽  
Somsak Prajakwong ◽  
Masahiro Takagi
Keyword(s):  
Land Use ◽  
Malaria Vector ◽  
Chiang Mai ◽  
Northern Thailand ◽  
Chiang Mai Province

scholarly journals Anomaly in the rainfall-runoff behaviour of the Meuse catchment. Climate, land-use, or land-use management?

2009 ◽  
Vol 13 (9) ◽  
pp. 1727-1737 ◽  
Author(s):  
F. Fenicia ◽  
H. H. G. Savenije ◽  
Y. Avdeeva
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Land Cover ◽  
Conceptual Model ◽  
Climatic Variability ◽  
Time Variability ◽  
Model Parameters ◽  
Rainfall Runoff ◽  
Over Time ◽  
The Way

Abstract. The objective of this paper is to investigate the time variability of catchment characteristics in the Meuse basin through its effect on catchment response. The approach uses a conceptual model to represent rainfall-runoff behaviour of this catchment, and evaluates possible time-dependence of model parameters. The main hypothesis is that conceptual model parameters, although not measurable quantities, are representative of specific catchment attributes (e.g. geology, land-use, land management, topography). Hence, we assume that eventual trends in model parameters are representative of catchment attributes that may have changed over time. The available hydrological record involves ninety years of data, starting in 1911. During this period the Meuse catchment has undergone significant modifications. The catchment structural modifications, although documented, are not available as "hard-data". Hence, our results should be considered as "plausible hypotheses". The main motivation of this work is the "anomaly" found in the rainfall runoff behaviour of the Meuse basin, where ninety years of rainfall-runoff simulations show a consistent overestimation of the runoff in the period between 1930 and 1965. Different authors have debated possible causes for the "anomaly", including climatic variability, land-use change and data errors. None of the authors considered the way in which the land is used by for instance agricultural and forestry practises. This aspect influenced the model design, which has been configured to account for different evaporation demand of growing forest. As a result of our analysis, we conclude that the lag time of the catchment has decreased significantly over time, which we attribute to more intensive drainage and river training works. Furthermore, we hypothesise that forest rotation has had a significant impact on the evaporation of the catchment. These results contrast with previous studies, where the effect of land-use change on the hydrological behaviour of the Meuse catchment was considered negligible, mainly because there was not sufficient change in land cover to account for it. Here we hypothesise that in the Meuse it was not the change of land cover that was responsible for hydrological change, but rather the way the land was managed.

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