Dynamics of Land Cover/Land Use Changes in the Mekong Delta, 1973–2011: A Remote Sensing Analysis of the Tran Van Thoi District, Ca Mau Province, Vietnam

Tran, Hanh Hong; Thuc, Tran; Kervyn, Matthieu

doi:10.3390/rs70302899

Cited by 92 publications

(65 citation statements)

References 69 publications

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“…Such broad land cover categories do not allow us to identify the particular commodities being produced. Remote sensing LULCC studies using finer-resolution imagery are typically geographically restricted to smaller case studies (18,26), making it difficult to identify general patterns and compare the relative importance of different replacement land uses across countries.…”

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confidence: 99%

Rates and drivers of mangrove deforestation in Southeast Asia, 2000–2012

Richards

Friess

2015

Proc. Natl. Acad. Sci. U.S.A.

857

558

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The mangrove forests of Southeast Asia are highly biodiverse and provide multiple ecosystem services upon which millions of people depend. Mangroves enhance fisheries and coastal protection, and store among the highest densities of carbon of any ecosystem globally. Mangrove forests have experienced extensive deforestation owing to global demand for commodities, and previous studies have identified the expansion of aquaculture as largely responsible. The proportional conversion of mangroves to different land use types has not been systematically quantified across Southeast Asia, however, particularly in recent years. In this study we apply a combined geographic information system and remote sensing method to quantify the key proximate drivers (i.e., replacement land uses) of mangrove deforestation in Southeast Asia between 2000 and 2012. Mangrove forests were lost at an average rate of 0.18% per year, which is lower than previously published estimates. In total, more than 100,000 ha of mangroves were removed during the study period, with aquaculture accounting for 30% of this total forest change. The rapid expansion of rice agriculture in Myanmar, and the sustained conversion of mangroves to oil palm plantations in Malaysia and Indonesia, are identified as additional increasing and under-recognized threats to mangrove ecosystems. Our study highlights frontiers of mangrove deforestation in the border states of Myanmar, on Borneo, and in Indonesian Papua. To implement policies that conserve mangrove forests across Southeast Asia, it is essential to consider the national and subnational variation in the land uses that follow deforestation.

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confidence: 99%

Rates and drivers of mangrove deforestation in Southeast Asia, 2000–2012

Richards

Friess

2015

Proc. Natl. Acad. Sci. U.S.A.

857

558

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“…9 (46) 37 de uso de suelo. Cada sitio de entrenamiento se delineó en las imágenes con polígonos que abarcan múltiples píxeles (Tran et al, 2015).…”

Section: Enunclassified

“…Las actividades humanas tienen un impacto considerable sobre la diversidad biótica en todo el mundo, en el clima global y local, en los ciclos biogeoquímicos, en la degradación y calidad del suelo, la hidrología, la seguridad alimentaria y el bienestar humano (Trimble et al, 2000;Foody, 2002); además afectan a la capacidad de los sistemas biológicos para sustentar las demandas del hombre (Tran et al, 2015). Sin embargo, los cambios de uso del suelo no tienen efectos únicamente negativos, ya que algunos están relacionados con el aumento de los rendimientos de alimentos y fibras con efectos positivos para la salud, el bienestar y la riqueza de los pueblos (Lambin y Geist, 2006).…”

Section: Introducción Uso Y Cobertura De La Tierraunclassified

Cambio en la cobertura vegetal y uso del suelo del 2000 al 2009 en Morelos, México

Porcayo-Calderón

Díaz

Pola

et al. 2018

RMCF

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ArtículoCambio en la cobertura vegetal y uso del suelo del 2000 al en Morelos, México ResumenLos estudios relacionados con los cambios progresivos en la cobertura vegetal y de uso de suelo han cobrado importancia en la investigación ambiental, ya que permiten evaluar las tendencias espacio-temporales de procesos como la deforestación y degradación ambiental, provocadas por actividades humanas. En el presente estudio, se hace una descripción de los cambios de cobertura y uso del suelo en el estado de Morelos durante el periodo 2000-2009. Se identifican 14 clases de coberturas vegetales y usos del suelo, que incluyen cuerpos de agua, los cuales no se consideran en el análisis y se registran dos coberturas que ganan terreno: agricultura, con un incremento de 1 373 ha y urbano, con 189 ha; las que más se transforman son selva baja (1 841 ha) y los bosques, con 858 ha. La dinámica del cambio es compleja y se identifican factores socioambientales y de tenencia de la tierra como las causas principales. Datos satelitales multiespectrales de LANDSAT se usaron para mapear y analizar los cambios de uso de suelo producidos en los años 2000 y 2009, mediante el software ESRI ARCMAP 10. Se empleó la técnica de clasificación supervisada, basada en el algoritmo de máxima verosimilitud. La información sobre el uso de cobertura vegetal y uso del suelo así como la identificación de las posibilidades para su uso óptimo, obtenida con percepción remota y sistemas de información geográfica, es esencial para la selección, planificación y ejecución de planes de ordenamiento territorial, desarrollo, conservación y aprovechamiento de recursos naturales, con el propósito de satisfacer la creciente demanda de las necesidades básicas del hombre, así como su bienestar.Palabras clave: Cobertura vegetal, ordenamiento territorial, percepción remota, Sistemas de información geográfica, tenencia de la tierra, uso de suelo. Fourteen types of vegetation cover and land-use, including water bodies, were identified, all though the latter were no included in the analysis. Agricultural and urban land cover increased 1 373 ha and 189 ha, respectively; whereas the landcover that undergo the greatest transformations are the forests, with 858 ha, and tropical dry forests, with 1 841 ha. The dynamics of change are complex, its

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“…It has been known that dense forest of FCD associated with high floristic diversity, and low forest of FCD associated with low floristic diversity. Another study also used forest cover as a parameters to determine, classify and monitor forest condition using remote sensing such as which have been reported by Forkuo and and Frimpong (2012), Giree et al, (2013), Tian et al,(2014), andTran et al,(2015). However, the analyses dynamic changes of FCD integration with inside and outside factors is still needed to obtain the best research.…”

Section: Introductionmentioning

confidence: 99%

FCD Application of Landsat for Monitoring Mangrove in Central Kalimantan

Sukarna

Sahid²

2016

IJG

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A large amount of tropical mangrove forest in Indonesia has been lost due to rapid development in coastal areas, such as, aquaculture, industry, housing, and etc. Assessment of mangrove still mostly used conventional methods. It involves labor intensive, time consuming, high costs and impractical for use in large area. To answer these problems, this study aims to study accuracy and effectiveness of forest canopy density (FCD) model of Landsat for monitoring mangrove changes with large area ±2.600 hectares during periods 2002 and 2014 in Central Kalimantan. The result showed that FCD is capable to classified mangrove changes with overall accuracy 89.75%, and known that mangrove changes during approximately 12 years divided into four groups, i.e. deforested areas 11.11%, degraded areas 12.98%, regrowth areas 23.29% and not change areas 52.62%. Concluded that FCD model is quite accurate and effective used to monitor mangrove changes such as deforestation, degradation and regrowth. Abstrak Sebagian besar hutan mangrove di Indonesia telah berkurang akibat pembangunan kawasan pesisir seperti tambak, industry, pemukiman dll. Kajian mangrove masih banyak menggunakan metode konvensional. Hal ini tentu membutuhkan banyak tenaga, waktu, dan biaya serta kurang praktis digunakan untuk kawasan hutan yang luas. Untuk menjawab persoalan tersebut, penelitian ini bertujuan untuk mempelajari tingkat ketelitian dan efektivitas model kerapatan kanopi hutan citra Landsat dalam memantau perubahan hutan mangrove dengan luas ±2.600 hektar antara tahun 2002-2014 di

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Dynamics of Land Cover/Land Use Changes in the Mekong Delta, 1973–2011: A Remote Sensing Analysis of the Tran Van Thoi District, Ca Mau Province, Vietnam

Cited by 92 publications

References 69 publications

Rates and drivers of mangrove deforestation in Southeast Asia, 2000–2012

Rates and drivers of mangrove deforestation in Southeast Asia, 2000–2012

Cambio en la cobertura vegetal y uso del suelo del 2000 al 2009 en Morelos, México

FCD Application of Landsat for Monitoring Mangrove in Central Kalimantan

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