Development of a Land-Use Change Matrix at the National Level using the Point Sampling Method

2019 ◽  
Vol 10 (4) ◽  
pp. 299-308 ◽  
Author(s):  
Jong Su Yim ◽  
Ga Hyun Moon ◽  
Man Yong Shin
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Sampling Method ◽  
National Level ◽  
Point Sampling ◽  
Change Matrix

The Collection of National Land-Use Statistics in Great Britain: A Critique

1978 ◽  
Vol 10 (3) ◽  
pp. 295-303 ◽  
Author(s):  
G C Dickinson ◽  
M G Shaw
Keyword(s):  
Land Use ◽  
Great Britain ◽  
Land Use Change ◽  
Information Needs ◽  
Land Use Classification ◽  
Local Authorities ◽  
Point Sampling ◽  
Alternative Techniques ◽  
Functional Units

The collection of land-use change statistics under DoE Circular 71/74 is criticised on three grounds. First, there is no standard land-use classification employed consistently by all local authorities. Second, there is no standard and unambiguous set of areal units to which such a classification could be applied. Third, there is no efficient means of collecting land-use data in a form which meets the information needs of policymakers. Adoption of a standard land-use classification applied to functional units is advocated. It is argued that point sampling is a cheap and efficient means of collecting land-use statistics in a form which meets planning needs. The advantages of point sampling compared with alternative techniques are considered in detail.

scholarly journals Optimal Sampling Intensity in South Korea for a Land-Use Change Matrix Using Point Sampling

Land ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 677
Author(s):  
Ga-Hyun Moon ◽  
Jong-Su Yim ◽  
Na-Hyun Moon
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Land Use Change ◽  
South Korea ◽  
Greenhouse Gas ◽  
Aerial Photographs ◽  
Optimal Sampling ◽  
Statistical Efficiency ◽  
Sampling Intensity ◽  
Change Matrix

To report changes in land use, the forestry sector, and land-use change matrix (LUCM), monitoring is necessary in South Korea to adequately respond to the Post-2020 climate regime. To calculate the greenhouse gas statistics observing the principle of transparency required by the Climate Change Convention, a consistent nationwide land-use classification and LUCM are required. However, in South Korea, land-use information is available from the 5th National Forest Inventory conducted in 2006 onwards; therefore, developing methods to determine historical LUCM information, including the base year required by the Intergovernmnetal Panel on Climate Change (IPCC), is essential. To determine the optimal sampling intensity for measuring systematic land-use changes and to estimate the corresponding area of land-use categories for previously unmeasured years, seven intensities—2 × 2 km to 8 × 8 km—were tested using the areas of the 3rd and 4th aerial photographs in time series for forestland, cropland, grassland, wetland, and settlements, according to their standard deviations and estimates of uncertainty. Analyses of statistical accuracy, statistical efficiency, economic efficiency, and convenience showed that a sampling intensity of 4 × 4 km was ideal. Additionally, the categorized areas of unmeasured land-use years were calculated through linear interpolation and extrapolation. Our LUCM can be utilized for developing a national greenhouse gas inventory.

Comparison of Uncertainty in the Land-Use Change Matrix by Sampling Intensity

2020 ◽  
Vol 11 (3) ◽  
pp. 203-213
Author(s):  
Jong Su Yim ◽  
Ga Hyun Moon ◽  
Jeong Mook Park ◽  
Man Yong Shin
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Sampling Intensity ◽  
Change Matrix

Development of land use matrix using geospatial data of National forest inventory

2020 ◽  
Author(s):  
Linards Ludis Krumsteds ◽  
Janis Ivanovs ◽  
Andis Lazdins ◽  
Raitis Melniks
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Forest Inventory ◽  
Land Use Changes ◽  
National Forest Inventory ◽  
National Forest ◽  
Auxiliary Data ◽  
Change Matrix ◽  
Use Category

<p><strong>Abstract.</strong> Calculation of land use and land use change matrix is one of the key elements for the national greenhouse gas (GHG) inventory in land use, land use change and forestry (LULUCF) sector. Main purpose of the land use and land use change matrix is to present comprehensive and harmonized land use and land use change information nationwide over certain time period. Information on land use and land use changes is further used to calculate other parameters important for determination of carbon stock changes and GHG emissions like the stock changes of living and dead biomass, as well as basic information on applied management measures. Aim of this study is to improve methodology for development and maintenance of land use and land use change matrix in the national GHG inventory system using geospatial data information of National forest inventory (NFI) and auxiliary data sources. Creation of land use and land use change matrix is performed in semi-automated way by using GIS tools, which eliminates possible impurities of reported data and have made the calculation process less time consuming than before. New calculation method takes into account present land use data from NFI and land use data from two previous NFI cycles, considerably reducing uncertainty of the estimates, and takes into account land management practices which may alter the land use category in long-term. Auxiliary data, like national land parcel information systems (LPIS), has been introduced to increase certainty, consistency and accuracy for determination of final land-use category. Year-by-year land use change extent detection is carried out by using linear interpolation and extrapolation method is used for the consecutive years for which NFI data are not available.</p><p><strong>Key words: </strong>ERA-GAS INVENT, land use and land use changes, national forest inventory, greenhouse gas inventory.</p>

Assessment of land-use change in coastal areas through geographical information systems

2020 ◽  
Vol 13 (10) ◽  
Author(s):  
Verónica Lango-Reynoso ◽  
Karla Teresa González-Figueroa ◽  
Fabiola Lango-Reynoso ◽  
María del Refugio Castañeda-Chávez ◽  
Jesús Montoya-Mendoza
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Geographical Information Systems ◽  
Design Methodology ◽  
Scientific Information ◽  
Coastal Ecosystems ◽  
Coastal Areas ◽  
Geographical Information ◽  
Coastal Zones ◽  
Computer Based

Objective: This article describes and analyzes the main concepts of coastal ecosystems, these as a result of research concerning land-use change assessments in coastal areas. Design/Methodology/Approach: Scientific articles were searched using keywords in English and Spanish. Articles regarding land-use change assessment in coastal areas were selected, discarding those that although being on coastal zones and geographic and soil identification did not use Geographic Information System (GIS). Results: A GIS is a computer-based tool for evaluating the land-use change in coastal areas by quantifying variations. It is analyzed through GIS and its contributions; highlighting its importance and constant monitoring. Limitations of the study/Implications: This research analyzes national and international scientific information, published from 2007 to 2019, regarding the land-use change in coastal areas quantified with the digital GIS tool. Findings/Conclusions: GIS are useful tools in the identification and quantitative evaluation of changes in land-use in coastal ecosystems; which require constant evaluation due to their high dynamism.

Monitoring land use change in the Lake Taupo catchment between 1975, 1990 and 2002 using satellite remote sensing data

2007 ◽  
pp. 17-22
Author(s):  
H. Lilienthal ◽  
A. Brauer ◽  
K. Betteridge ◽  
E. Schnug
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
Satellite Remote Sensing ◽  
Remote Sensing Data ◽  
Native Vegetation ◽  
Lake Water Quality ◽  
Livestock Farming ◽  
Slow Decline

Conversion of native vegetation into farmed grassland in the Lake Taupo catchment commenced in the late 1950s. The lake's iconic value is being threatened by the slow decline in lake water quality that has become apparent since the 1970s. Keywords: satellite remote sensing, nitrate leaching, land use change, livestock farming, land management

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