Assessment of land-use and land-cover changes from 1965 to 2014 in Tam Giang-Cau Hai Lagoon, central Vietnam

Disperati, Leonardo; Virdis, S.

doi:10.1016/j.apgeog.2014.12.012

Cited by 101 publications

(28 citation statements)

References 79 publications

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“…The definition of flood, e.g., "temporary covering by water of land not normally covered by water" [34], conceptually implies the occurrence of a certain type of change over time. Digital change detection techniques based on remote sensing imagery are capable of providing both long-term and short-term solutions [35,36]. Long-term change detection approaches consist of temporal trajectory analysis (also referred as trends), using long series of observation data, which can be used to detect subtle anomalies in annual variability of climatic variables, such as those resulting from climate change [37].…”

Section: Flood Extent Estimation Methods Based On Remote Sensing Imagerymentioning

confidence: 99%

Multi-Index Image Differencing Method (MINDED) for Flood Extent Estimations

et al. 2019

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Satellite remote sensing data are often used to extract water surfaces related to extreme events like floods. This study presents the Multi INDEx Differencing (MINDED) method, an innovative procedure to estimate flood extents, aiming at improving the robustness of single water-related indices and threshold-based approaches. MINDED consists of a change detection approach integrating specific sensitivities of several indices. Moreover, the method also allows to quantify the uncertainty of the Overall flood map, based on both the agreement level of the stack of classifications and the weight of every index obtained from the literature. Assuming the lack of ground truths to be the most common condition in flood mapping, MINDED also integrates a procedure to reduce the subjectivity of thresholds extraction focused on the analysis of water-related indices frequency distribution. The results of the MINDED application to a case study using Landsat images are compared with an alternative change detection method using Sentinel-1A data, and demonstrate consistency with local fluvial flood records.

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Section: Flood Extent Estimation Methods Based On Remote Sensing Imagerymentioning

confidence: 99%

Multi-Index Image Differencing Method (MINDED) for Flood Extent Estimations

et al. 2019

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“…Both image classification techniques provided indistinct boundaries of LSMA sites and spectral confusion -common in areas of sparse vegetation cover due to high background reflection from the soil, as is the case in Butana -led to mislabeling of land classes. Although time-consuming, onscreen digitization proved to be adequate for image interpretation processes in many situations (Alkan et al 2010;Laliberte et al 2011;Al-Bilbisi 2012;Disperati et al 2015). The accuracy of the on-screen digitizing was checked using ground-truthing points collected with handheld GPS device collected during the ground survey.…”

Section: Methodsmentioning

confidence: 99%

Exploring the spatio-temporal processes of communal rangeland grabbing in Sudan

Sulieman

2018

Pastoralism

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The persistent policy of successive Sudanese governments in favouring large-scale agricultural investments at the expense of traditional land use is creating material differences among significant groups of the population. A significant share of this type of investment falls within the territories of the communal rangelands of the country. The aim of this paper is to provide analytical insights of the geographical allocation and the temporal evolution of land grabbing on the expanses of communal land utilized by local inhabitants in Butana area in eastern Sudan. The study relies on multi-temporal Landsat satellite imagery (2000, 2005, 2009, and 2014), ground surveys, and key informant interviews. The results show that large-scale mechanized agriculture (LSMA) in Butana communal rangeland increased incrementally from 2.5% in 2000 to 17.6% in 2014. The starting location of the expansion of LSMA was in surrounding valleys. From the images, it is clear that land grabbing is converting the natural vegetation cover of Butana communal rangeland into spatially fragmented patches. Large-scale farmers (LSFs) involved in the process included wealthy pastoralists who own large numbers of livestock and absentee farmers who rely on hired representatives to manage their agricultural operations. Without a fundamental change in governmental policy, which currently turns a blind eye to the illegal activities of LSFs on communal rangeland, the gloomy scenario of land-based conflict may erupt in the eastern part of the country.

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“…And those, who apply different algorithms and image filters for differentiation and division to produce binary maps of "change" vs. "no change" (Disperati and Virdis, 2015;Yuan et al, 2005).…”

Section: Issn: 2320-5407mentioning

confidence: 99%

Spectral Indexes to Detect Land Cover Changes Due to the Floods (Morocco).

Haidara¹,

Hakdaoui²,

Maimouni³

et al. 2017

IJAR

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The objective of this study is to detect land cover changes in fact of flood risks, with using a new method, fast and efficient. This technique needs only a diachronic satellite images in input data. The variability of reflectance spectral indexes is a characteristic of land cover changes. For applying this theory, we were including four spectral indexes those look on the principal indicator for land cover changes which are (Brightness index, Color index, Salinity index and clay index). To applying this method, we choose the Souss Massa basin as a study area. In 2014, this basin especially rounded of Guelmim city was affected by floods which caused a lot of damages in different ecosystems. Another step is used in the laboratory to validate our procedure; we talk about the physic-chemical analysis of land cover taken in two different dates, before and after floods. …………………………………………………………………………………………………….... Introduction:-Availability increased free download data of remote sensing has allowed to make environmental studies much more temporal multi easy. A huge advantage has summer for the study of the degradation of soils under the effect dare floods and erosion of the soil. This decline in the quality of the soil leads to a reduction of productivity land that is more uniform, the same landscape lies in a deteriorated condition. The space images provide an effective way for the management costs of this degradation direct on the ground then the methods are expensive and tedious (Mumby et al, 1999). Thus, this information extracted on the land cover, using remote sensing and geographic information systems tools, provide data on a large scale and to better identify the areas exposed to the risk of change with their geographical distribution (Yuan et al.., 2005).Previous studies on the detection of land cover changes, using remote sensing and geographic information systems tools showed that there are several approaches to detect them.

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Assessment of land-use and land-cover changes from 1965 to 2014 in Tam Giang-Cau Hai Lagoon, central Vietnam

Cited by 101 publications

References 79 publications

Multi-Index Image Differencing Method (MINDED) for Flood Extent Estimations

Multi-Index Image Differencing Method (MINDED) for Flood Extent Estimations

Exploring the spatio-temporal processes of communal rangeland grabbing in Sudan

Spectral Indexes to Detect Land Cover Changes Due to the Floods (Morocco).

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