Dynamics of Land-Use and Vegetation Change
Using NDVI and Transfer Matrix: A Case Study
of the Huaihe River Basin

Liu, Fang; Qin, Tianling; Girma, Abel; Wang, Hao; Weng, Baisha; Yu, Zhiqing; Wang, Zhenlong

doi:10.15244/pjoes/82900

Cited by 36 publications

(21 citation statements)

References 12 publications

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“…It can be observed in this study that the spatial distribution of cultivated land resources in the Huaihe River Basin was relatively uniform, the Gini coefficient of cultivated land increased year by year, and the degree of cultivated land specialization was high, which is similar to the results obtained by Liu et al based on NDVI and the transfer matrix method [ 49 ]. Previous studies have shown that cultivated land in mountainous and hilly areas was more inclined to show the spatial separation characteristics of land structure than that in plain areas [ 20 ].…”

Section: Discussionsupporting

confidence: 88%

Cultivated Land Fragmentation and Its Influencing Factors Detection: A Case Study in Huaihe River Basin, China

Liang

Pan

Chen

et al. 2021

IJERPH

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The booming population and accelerating urbanization in the Huaihe River Basin have sped up the land use transformation and the cultivated land fragmentation (CLF), seriously impeded the advancement of agricultural modernization, and threatened regional stability and national food security as well. The analysis of CLF degree and its spatiotemporal distribution characteristics, along with the influencing factors in the Huaihe River Basin, is of great significance for promoting the intensive and efficient utilization of cultivated land resources and maintaining food security. Previous studies lack the measurement and cause analysis of CLF in Huaihe River Basin. To bridge the gap, this study introduces Fragstats4.2 and ArcGIS10.3 to analyze the spatiotemporal characteristics of CLF in county units in the Huaihe River Basin from 2000 to 2018 through the Lorentz curve, entropy method, and spatial auto-correlation method while the causes of the spatiotemporal differentiation of CLF in the basin were explored with the help of a geographic detector. The results show that the spatial distribution of cultivated land in the Huaihe River Basin is relatively balanced, and the Gini coefficients of cultivated land from 2000 to 2018 were 0.105, 0.108, and 0.113, respectively. More than 56% of the counties in the basin have a location entropy greater than 1. the percentage of landscape, area-weighted mean patch area, patch cohesion index, and aggregation index decrease year by year while the patch density and splitting index show an upward trend. The landscape pattern of cultivated land is highly complex, and the overall fragmentation degree is increasing. The county distribution pattern of the CLF degree with random and agglomeration is generally stable. The spatiotemporal differentiation of CLF in the Huaihe River Basin is affected by multiple factors, among which the influences of the normalized difference vegetation index, per capita cultivated land area, and intensity of human activity obviously stronger than other factors, and the contribution rate of the factors reached more than 0.4. The interaction effect among the factors is stronger than that of single factor, with dual-factor enhancement and nonlinear enhancement dominating. The results of this study have important implications for optimizing the agricultural structure in the Huaihe River Basin and alleviating the CLF in important grain production areas.

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Section: Discussionsupporting

confidence: 88%

Cultivated Land Fragmentation and Its Influencing Factors Detection: A Case Study in Huaihe River Basin, China

Liang

Pan

Chen

et al. 2021

IJERPH

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“…We used three methods to analyze the temporal and spatial characteristics of LUCC in Laos, which are a land use transfer matrix [49], a landscape pattern index, and a topographic overlap analysis. The land use transfer matrix identified the intensity and direction of the conversion between various land uses, so that the quantity and structural characteristics of the LUCC during the study period could be analyzed.…”

Section: Methodsmentioning

confidence: 99%

Economic Globalization Impacts on the Ecological Environment of Inland Developing Countries: A Case Study of Laos from the Perspective of the Land Use/Cover Change

et al. 2019

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Economic globalization promotes the economic development of underdeveloped regions but also influences the ecological environments of these regions, such as natural forest degradation. For inland developing regions with underdeveloped traffic routes, are the effects on the ecological environment also as obvious? To reveal the response characteristics of the ecological environment of the inland developing countries to globalization, we took Laos as an example, and used the land use/cover change data and also its exports and imports data to analyze the ecological environment change since the millennium. Land use transfer matrix analysis showed that Laos had encountered a large conversion of 14.43% natural forest to plantation forest since 2000 to 2017, and also a degradation of 5.94% natural forest to shrubland and grassland. Landscape pattern analysis showed that these changes were the main reasons of the fragmentation of ecological patches, which would lead to a reduction in biodiversity. More, topographic analysis further showed that natural forest degradation mainly took place in high-altitude and large slope areas, which could increase the potential of natural hazards such as floods. Coupling analysis with its exports and imports data indicated that economic globalization still had a significant impact on the country’s ecological environment although Laos is an inland developing country. Laos should strengthen the regulation of renewable resources such as forests and water resources, to avoid losing the renewable resources market while still enjoying the dividends of economic globalization. At the same time, it is necessary to accurately evaluate the indirect impacts of development on neighboring countries to ensure sustainable development.

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“…e statistical Kappa coe cient classication accuracy recommended value ranges from 0.18 to 0.99. us, the result in this study is considered almost in perfect agreement based on the Kappa Statistics. is implies that the change detection results could be used for further analysis as land cover transformation matrix and ArcGIS 10.4 were employed to analyze a comprehensive land use dynamics degree [40].…”

Section: Classification Of Land Cover Type and Change Detectionmentioning

confidence: 99%

“…A vegetation cover is an important factor that could change the ecosystem and the hydrology pattern in the basin, thereby causing climate variability. Vegetation dynamics could change the global carbon and hydrology cycle as well as climate change [40]. e overlaps of the NDVI, EVI maps of 2001 and 2013, and climatic variations of the current weather show a high degree of climate change occurring across the basin.…”

Section: Measuring Vegetation (Ndvi and Evi)mentioning

confidence: 99%

Impacts of Recent Climate Trends and Human Activity on the Land Cover Change of the Abbay River Basin in Ethiopia

Cherinet

Yan

Wang

et al. 2019

Advances in Meteorology

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The Abbay River Basin, which originates in Ethiopia, is a major tributary and main source of the Nile River Basin. Land cover and vegetation in the Abbay River Basin is highly susceptible to climate change. This study was conducted to investigate the trends of climate change for a period of thirty-six years (1980–2016) within selected stations of the basin by using the innovative trend analysis method, Mann–Kendall test, and Sen’s slope estimator test to investigate the mean annual precipitation and temperature variables. Changes in land cover and vegetation in the Abbay River Basin were studied for a period of thirteen years (2001–2013) by using remote sensing, GIS analysis, land cover classification, and vegetation detection methods to assess the land cover and vegetation in the basin. In addition, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), and Transformation Matrix were employed to analyze the spatial and temporal patterns of land cover and vegetation impacted by changes in climate. The result reflects that the trend of average annual temperature was remarkably increased (Φ = 0.12, Z = 0.75) in the 36-year period, and the temperature was increased by 0.5°C, although precipitation had slightly decreased during the same period. In the thirteen years’ period, forest land and water resource decreased by 3429.62 km2 and 81.45 km2, respectively. In contrast, an increment was observed in grassland (2779.33 km2), cultivated land (535.34 km2), bare land (43.08 km2), urban land (0.65 km2), and wetland (152.66 km2) in the same period. In the study, it was also observed a decrease of an NDVI value by 0.1 was observed in 2013 in the southern part of the basin. The findings of the present study illustrate a significant change in eco-hydrological conditions in the ARB with an adverse impact on the environment. Hydroclimatic changes caused the increase in temperature and decreasing trend in precipitation which significantly impacted the land cover and vegetation in the basin. The changes in land cover were mostly caused by global and local climate influence which mainly affects the hydroclimate and eco-hydrology systems of the basin. The result is consistent with that of the previous studies conducted elsewhere. The findings of this paper could help researchers to understand the eco-hydrological condition of the study basin and become a foundation for further studies.

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Dynamics of Land-Use and Vegetation Change Using NDVI and Transfer Matrix: A Case Study of the Huaihe River Basin

Cited by 36 publications

References 12 publications

Cultivated Land Fragmentation and Its Influencing Factors Detection: A Case Study in Huaihe River Basin, China

Cultivated Land Fragmentation and Its Influencing Factors Detection: A Case Study in Huaihe River Basin, China

Economic Globalization Impacts on the Ecological Environment of Inland Developing Countries: A Case Study of Laos from the Perspective of the Land Use/Cover Change

Impacts of Recent Climate Trends and Human Activity on the Land Cover Change of the Abbay River Basin in Ethiopia

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