Monitoring peri-urbanization in the greater Ho Chi Minh City metropolitan area

Kontgis, Caitlin; Schneider, Annemarie; Fox, Jefferson; Saksena, Sumeet; Spencer, James H.; Castrence, Miguel

doi:10.1016/j.apgeog.2014.06.029

Cited by 140 publications

(85 citation statements)

References 65 publications

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“…Cities are often located on the most productive agricultural lands, so any expansion of built-up areas quickly consumes natural resources, compromising not only food production, but also the provision of ecosystem goods and services that are derived from these landscapes. In developing countries, such as China, India, Bangladesh and Vietnam, state-led industrialization and urban growth policies have often compelled farmers to sell high-yield cropland to developers [2]. According to the Ministry of Land and Resources of China, the total cultivated land in Mainland China continually decreased by approximately 5.6 million hectares during last two decades [11].…”

Section: Urbanization In Developing Countriesmentioning

confidence: 99%

“…Of the LULC changes induced by humans, urbanization manifests itself as the most widespread anthropogenic causes of the loss of arable land, habitat destruction and the decline in natural vegetation cover [2]. Global urban areas are rapidly expanding and nowadays, the majority of the world's population lives in cities [2,3]. As ecosystems in urban areas are strongly influenced by anthropogenic activities, considerable attention is currently directed towards monitoring changes in urban LULC [4].…”

Section: Urbanization In Developing Countriesmentioning

confidence: 99%

“…In developing countries, urban expansion is often rapid and unplanned, which can lead to unintended and detrimental consequences [1][2][3][4][5][6][7][8][9][10]. Cities are often located on the most productive agricultural lands, so any expansion of built-up areas quickly consumes natural resources, compromising not only food production, but also the provision of ecosystem goods and services that are derived from these landscapes.…”

Section: Urbanization In Developing Countriesmentioning

confidence: 99%

“…Remote-sensing is a powerful and cost-effective data source for assessing the spatial and temporal dynamics of LULC [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. Digital archives of remotely sensed data provide an excellent opportunity to study historical land use/cover changes and to relate their spatio-temporal patterns to environmental and human factors.…”

Section: Remote-sensing For Analyzing Lulc Changementioning

confidence: 99%

“…Furthermore, urbanization often leads to the destruction of local environment, particularly in developing countries. The negative impact of urbanization on the environment include increasing vulnerability to natural hazards, channel-bank and road-surface erosion, habitat destruction, landscape degradation and fragmentation, climate change, species extinction as well as the reduction of net primary productivity [1][2][3][4][5][6][7][8][9][10].…”

Section: Urbanization In Developing Countriesmentioning

confidence: 99%

See 4 more Smart Citations

Mapping Typical Urban LULC from Landsat Imagery without Training Samples or Self-Defined Parameters

Wang

Zhong

et al. 2017

Remote Sensing

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Abstract:Land use/land cover (LULC) change is one of the most important indicators in understanding the interactions between humans and the environment. Traditionally, when LULC maps are produced yearly, most existing remote-sensing methods have to collect ground reference data annually, as the classifiers have to be trained individually in each corresponding year. This study presented a novel strategy to map LULC classes without training samples or assigning parameters. First of all, several novel indices were carefully selected from the index pool, which were able to highlight certain LULC very well. Following this, a common unsupervised classifier was employed to extract the LULC from the associated index image without assigning thresholds. Finally, a supervised classification was implemented with samples automatically collected from the unsupervised classification outputs. Results illustrated that the proposed method could achieve satisfactory performance, reaching similar accuracies to traditional approaches. Findings of this study demonstrate that the proposed strategy is a simple and effective alternative to mapping urban LULC. With the proposed strategy, the budget and time required for remote-sensing data processing could be reduced dramatically.

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Section: Urbanization In Developing Countriesmentioning

confidence: 99%

Section: Urbanization In Developing Countriesmentioning

confidence: 99%

Section: Urbanization In Developing Countriesmentioning

confidence: 99%

Section: Remote-sensing For Analyzing Lulc Changementioning

confidence: 99%

Section: Urbanization In Developing Countriesmentioning

confidence: 99%

See 3 more Smart Citations

Mapping Typical Urban LULC from Landsat Imagery without Training Samples or Self-Defined Parameters

Wang

Zhong

et al. 2017

Remote Sensing

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Characterising spatiotemporal vegetation variations using LANDSAT time‐series and Hurst exponent index in the Mekong River Delta

Tran

Nguyen

et al. 2021

Land Degrad Dev

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Spatiotemporal analysis and monitoring of vegetation help us investigate ecological health and guide better forest conservation and land management practices for sustainable development. This paper proposes the use of spatial analysis approaches (i.e., ordinary least squares [OLS] and the Hurst exponent) combined with time-series analysis using enhanced vegetation index (EVI) data, derived from LANDSAT via the Google Earth Engine, to estimate the trends and sustainability of vegetation dynamics in the Tra Vinh Province in the Mekong River Delta. We also assessed the EVI changes connected to land change issues to examine the influence of land use conversion on vegetation dynamics. Results show that a large portion of the study area was covered by abundant vegetation (over 50% of the total area), and the increased EVI area was about 5.5-times greater than the area of EVI reduction. Additionally, vegetation sustainability was being seriously compromised (e.g., a decrease in the total area of 8,275 ha) due to several land conversion drivers such as shrimp farming, urbanisation, and industrialisation. Furthermore, results obtained from this research provide insight into the spatiotemporal dynamics of vegetation coverage and reveal the consistency of future vegetation trends. Moreover, the study also quantitatively assessed the positive impacts of Buddhist doctrines on reducing the negative trend of vegetation change in the study area. These findings can lay the ground to formulate sustainable land and environmental plans that meet the 11th, 13th and 15th Sustainable Development Goals (SDGs) (i.e., the sustainable cities and communities, the climate actions, and the life on land). Besides, the analytical procedure adopted in this study can also be applicable to any other coastal areas that require the accurate assessment of vegetation status over time.

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Agricultural Land Conversion and Food Policy in Indonesia: Historical Linkages, Current Challenges, and Future Directions

Rondhi

Pratiwi

Handini

et al. 2019

Innovations in Landscape Research

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Monitoring peri-urbanization in the greater Ho Chi Minh City metropolitan area

Cited by 140 publications

References 65 publications

Mapping Typical Urban LULC from Landsat Imagery without Training Samples or Self-Defined Parameters

Mapping Typical Urban LULC from Landsat Imagery without Training Samples or Self-Defined Parameters

Characterising spatiotemporal vegetation variations using LANDSAT time‐series and Hurst exponent index in the Mekong River Delta

Agricultural Land Conversion and Food Policy in Indonesia: Historical Linkages, Current Challenges, and Future Directions

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