Using a time series of satellite imagery to detect land use and land cover changes in the Atlanta, Georgia metropolitan area

Yang, Xiaojun; Lo, C. P.

doi:10.1080/01431160110075802

Cited by 442 publications

(267 citation statements)

References 15 publications

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“…To detect and quantify temporal change in areas fell and cleared cluster labeling was used. The technique of image clustering and cluster labeling is a GIS-based image spatial reclassification procedure to deal with classification errors due to spectral confusion [14] .…”

Section: Methodsmentioning

confidence: 99%

“…An assessment of the amount stored and the dynamics are very valuable assisting policy planners in assessing the importance of peat swamp forest. This includes biomass in dead wood which is an important aspect in the role of peat as a sink [14] .…”

Section: Introductionmentioning

confidence: 99%

“…Possibly only the Padang Alan forest type, consisting of few commercial timber species remains relatively undisturbed. Possibly about (1.5%) of peat swamp forest in Sarawak remain as natural forested original peat swamp forests [14] .…”

Section: Introductionmentioning

confidence: 99%

“…Biodiversity is often studied in the light of increased human activities, In peat swamp forests the level of interest is at the ecosystem level that enables assessment of the potential suitability of the PSF for the species and habitat in question Wijdeven et al [14] . The carbon stock of peat swamp forests is also becoming increasingly important in the light of global environmental issues.…”

Section: Introductionmentioning

confidence: 99%

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Vegetation Assessment of Peat Swamp Forest Using Remote Sensing

Gandaseca¹,

Sabang²,

Ahmed³

et al. 2009

American J. of Agricultural and Biological Sciences

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Problem statement: Peat covers 1.6 million ha (13%) of the 12.4 million ha land area of Sarawak and some of peat swamp forests have been logged. The objective of this study was to assess the impact of logging operation on peat swamp forest in this area. Approach: The study used a remote sensing technique to assess vegetation cover in a peat swamp forest areas in Sarawak as result of logging practice and land clearing activities for oil palm plantation. Vegetation Index was used to assess impact of timber harvesting system and land clearing activities on remaining peat swamp forest in two sites which were logged previously and the possible relationship of change in hydrology. Results: The timber harvesting system was a combination of rail system for log transportation and excavator crawler for log skidding. Drainage work was probably carried out prior to logging activities which was followed up by land preparation for the establishment of the oil palm plantations. There was a general decrease in the level of greenness from [2002][2003][2004][2005][2006][2007]. Between the two sites, the level of greenness was relatively lower in the West Site. The high green level of both sites was reduced remarkably in 2007 especially for the West Site and this corresponded to increase in the percentage of medium green level. The changed in the level of greenness in the remnant peat swamp forest could suggest that soil and other conditions such as vegetation structure and floristic composition are unfavorable for the expected rate of forest regeneration. Conclusion: The remnant logged peat swamp forest of the area declined due to a poor state of growth as shown by the dramatically decrease in the level of greenness. The peat swamp forest types strongly related to the hydrological conditions and the associated flow of nutrients and mineral elements. The surrounding hydrology was presumed to have influence the physical and chemical characteristics of the peat.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Vegetation Assessment of Peat Swamp Forest Using Remote Sensing

Gandaseca¹,

Sabang²,

Ahmed³

et al. 2009

American J. of Agricultural and Biological Sciences

View full text Add to dashboard Cite

show abstract

“…The developed areas were defined by applying hybrid classification techniques to all the images to produce a number of thematic categories (e.g., vegetation classes, water) as described in Yang and Lo (2002). Six spectral bands were used in the classification process that identified, among others, those that were classified as developed within the Atlanta Metropolitan Area, i.e., those areas of high-and low-density urban use.…”

Section: Area Delineation and Isa Determinationsmentioning

confidence: 99%