Land use/land cover change detection combining automatic processing and visual interpretation

Mas, Jean-François; Lemoine-Rodríguez, Richard; González-López, Rafael; López-Sánchez, Jairo G.; Piña-Garduño, Andrés; Herrera-Flores, Evelyn

doi:10.1080/22797254.2017.1387505

Cited by 56 publications

(36 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The performance was evaluated using a stratified random sampling technique at 300 sites (pixels) and the overall accuracy for the built-up class in the processed scene exceeded 84%. Although the achieved accuracy can still be improved further by optimizing and increasing the number of the training sets, the authors consider the obtained results satisfactory for the conducted analysis, in line with other literature [18]. In Section 5, we draw on our analysis of key planning documents (e.g., the latest coastal protection plans) to present the main adaptation measures currently planned or implemented in the city and its greater metropolitan area.…”

Section: Methodsmentioning

confidence: 48%

Is Jakarta’s New Flood Risk Reduction Strategy Transformational?

2018

View full text Add to dashboard Cite

On a conceptual and normative level, the debate around transformation in the context of disaster risk reduction and climate change adaptation has been rising sharply over the recent years. Yet, whether and how transformation occurs in the messy realities of policy and action, and what separates it from other forms of risk reduction, is far from clear. Jakarta appears to be the perfect example to study these questions. It is amongst the cities with the highest flood risk in the world. Its flood hazard is driven by land subsidence, soil sealing, changes in river discharge, and-increasingly-sea level rise. As all of these trends are set to continue, Jakarta's flood hazard is expected to intensify in the future. Designing and implementing large-scale risk reduction and adaption measures therefore has been a priority of risk practitioners and policy-makers at city and national level. Against this background, the paper draws on a document analysis and original empirical household survey data to review and evaluate current adaptation measures and to analyze in how far they describe a path that is transformational from previous risk reduction approaches. The results show that the focus is clearly on engineering solutions, foremost in the Giant Sea Wall project. The project is likely to transform the city's flood hydrology. However, it cements rather than transforms the current risk management paradigm which gravitates around the goal of controlling flood symptoms, rather than addressing their largely anthropogenic root causes. The results also show that the planned measures are heavily contested due to concerns about ecological impacts, social costs, distributional justice, public participation, and long-term effectiveness. On the outlook, the results therefore suggest that the more the flood hazard intensifies in the future, the deeper a societal debate will be needed about the desired pathway in flood risk reduction and overall development planning-particularly with regards to the accepted levels of transformation, such as partial retreat from the most flood-affected areas.

show abstract

Section: Methodsmentioning

confidence: 48%

Is Jakarta’s New Flood Risk Reduction Strategy Transformational?

2018

View full text Add to dashboard Cite

show abstract

“…Land-use/cover changes are one of the main causes of climate change through the modification of carbon, water, and energy cycles [7]. As a result, agricultural lands, vegetative lands, forests, water bodies, as well as mineral resource lands are changing continuously throughout the globe [8].…”

Section: Introductionmentioning

confidence: 99%

Temporal Dynamics of Vegetative Cover and Surface Water Bodies in the Indus Delta, Pakistan

Siyal

Babr

Siyal

2020

Mehran Univ. res. j. eng. technol.

View full text Add to dashboard Cite

Under the current scenario of diminishing Indus River flows and changing the climate, the Indus Delta, the world’s 5th largest delta which has undergone rapid changes in water bodies and vegetative cover since last few decades, is under serious risk of losing its ecological functions. Assessing the temporal variation in vegetative cover and water bodies of the Indus Delta is essential for the future planning and ecosystem management in this region. The present study quantified the temporal patterns of the surface water bodies and vegetation cover, including crops, mangroves and other natural vegetation in the Indus Delta, by using field survey and remote sensing technique during the last 27 years. Results showed that the area covered by vegetation declined from 3002.35 km2 (22.98% of the entire delta) to 2817.03 km2 (21.56%) from 1990 to 2017, within which the area covered by mangrove forests declined from 1032.49 km2 (7.90%) to 812.55 km2 (6.22%). However, the area of water bodies increased from 1611.67 km2 (12.39%) to 3007.15 km2 (23.8%) in the same period. The reduction in freshwater flow to the delta, surface and subsurface seawater intrusion from the Arabian Sea and irrigation waters are the potential causes. The study would be helpful for policymakers to mitigate negative impacts and protect the ecosystem of the Indus Delta.

show abstract

“…They applied a hybrid semiautomatic classification method that combined image segmentation, digital classification, and visual interpretation to SPOT satellite imagery from 2004 and 2014. These maps, with a global accuracy of 83.3% and a confidence interval of 3.1%, are the most accurate land-cover/use data available for our study area (Mas et al 2017). Nevertheless, the global accuracy of our maps is surely higher because our study area lacks land-cover/use areas subject to high spectral confusion, such as tropical dry forest and shrubland, and because we combined the 19 original classes into only 4, thus reducing omission and commission errors between spectrally similar classes.…”

Section: Spatial Analysismentioning

confidence: 97%

“…We employed the land-cover/use maps developed by Mas et al (2017) for the state of Michoacán to evaluate FCC processes. They applied a hybrid semiautomatic classification method that combined image segmentation, digital classification, and visual interpretation to SPOT satellite imagery from 2004 and 2014.…”

Section: Spatial Analysismentioning

confidence: 99%

“…The Meseta Purépecha is an economically important forest region, with an internationally recognized experience of community forestry, and is the epicenter of international avocado production (Bofill Poch 2005, Orozco-Ramírez et al 2017. It also has a high percentage of indigenous populations and poverty rates (CDI 2010, CONEVAL 2014), acute deforestation and forest degradation processes (Mas et al 2017), and recurrent episodes of conflict over illegal logging and landownership (Espín Díaz 1986, Vázquez León 2016.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Unraveling complex relations between forest-cover change and conflicts through spatial and relational analyses

Pérez-Llorente¹,

Ramírez²,

Paneque-Gálvez³

et al. 2019

E&S

Self Cite

View full text Add to dashboard Cite

Despite the increasing prevalence of forest-cover change and conflicts, most studies have been unable to unravel the complex relations between the two processes. We attribute this failure to methodological limitations. We put forward an alternative approach that combines different datasets (remote sensing, GIS, local narratives, official censuses, newspaper articles), methods (spatial and relational analyses), and scales (subregions, economic sectors, land-based activities) to create a robust explanation of the relations between different intensities of forest-cover change and conflict in the Meseta Purépecha region, central Mexico. This is an important forest region, inhabited by indigenous and mestizo peasants; it has a worldwide reputation for community forestry and is also the epicenter of international avocado production. Forest-cover change is intense and there are recurrent episodes of conflict. We clustered communities in three subregions according to their patterns of forest-cover change. We analyzed the spatial patterns of forest-cover change and conflicts and we characterized the structure and function of the different economic sectors to unravel the nonlinear, interdependent (and sometimes contradictory) relations among these processes. We found that avocado production has differentially shaped the composition and working of society within each subregion, leading to three diverging patterns. Avocado production has provoked conflicts over landownership and over illegal logging in nearby areas. In some areas, a low incidence of conflicts over forest clearance might be explained by high profits, coercion, and violence. We suggest that, by combining spatial and relational analyses, we can integrate and check the congruence of nonequivalent representations from quantitative sources and observant participation at different scales and explain the heterogeneity that processes display across space. Our methodological approach can thus improve our understanding of similar and other complex and uncertain environmental problems elsewhere, especially when accurate or appropriate data are missing.

show abstract

Land use/land cover change detection combining automatic processing and visual interpretation

Cited by 56 publications

References 34 publications

Is Jakarta’s New Flood Risk Reduction Strategy Transformational?

Is Jakarta’s New Flood Risk Reduction Strategy Transformational?

Temporal Dynamics of Vegetative Cover and Surface Water Bodies in the Indus Delta, Pakistan

Unraveling complex relations between forest-cover change and conflicts through spatial and relational analyses

Contact Info

Product

Resources

About