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1.
The objective of this study was to investigate the land use/land cover, landforms, shoreline and coastal regulation zone (CRZ) changes of Greater Visakhapatnam coastal region using Indian Remote Sensing-IRS P6 (Resourcesat-I) satellite data and collateral information. Prominent changes have been observed during the past 30 years through land use/land cover analyzes which clearly indicate that thecoastal regulatory zones have altered in respect of both natural and anthropogenic activities. Various geomorphic units were identified and confirmed with appropriate field work. Significant changes have been recognized in the shoreline map, which denote that the area of erosional shoreline is larger than the accretional and stable prone shoreline. The availability of high resolution data has helped to prepare large-scale maps for implementation of CRZ measures. The results were promising and suggest that the modern geo-spatial information and technological tools are extremely helpful for conducting coastal morphological studies. 相似文献
2.
Geographical design of riparian buffers with long-term vegetation cover for environmental restoration in agricultural watersheds needs to assess how much farmland is located in the buffers of a concerned watershed.Traditionally,this assessment was done by field surveying and manual mapping,which was a time-consuming and costly process for a large region.In this paper,remote sensing(RS) and geographical information system(GIS) as cost-effective techniques were used to develop a catchments-based approach for ... 相似文献
3.
Land cover in Kenya is in a state of fl ux at different spatial and temporal scales. This compromises environmental
integrity and socioeconomic stability of the population hence increasing their vulnerability to the externalities of environmental
change. The Oroba-Kibos catchment area in western Kenya is one locality where rapid land use changes have taken place over
the last 30 years. The shrubs, swamps, natural forests and other critical ecosystems have been converted on the altar of agriculture,
human settlement, fuel wood and timber. This paper presents the results of a study that aimed at providing spatially-explicit
information for effective remedial response through (a) Mapping the land cover; (b) Identifying the spatial distribution of land
cover changes; (c) Determining the nature, rates and magnitude of the land cover changes, and; (d) Establishing the drivers of
land use leading to land cover changes in Oroba-Kibos catchment area. Bi-temporal Landsat TM imagery, fi eld observation,
household survey and ancillary data were obtained. Per-fi eld classifi cation of the Landsat TM imagery was performed in a GIS
and the resultant land cover maps assessed using the fi eld observation data. Post-classifi cation comparison of the maps was then
done to detect changes in land cover that had occurred between 1994 and 2008. SPSS was used to analyze the household survey
data and attribute the detected land cover changes to their causes. The fi ndings showed that 9 broad classes characterize the
catchment area including the natural forests, swamps, natural water bodies, woodlands, shrublands, built-up lands, grasslands,
bare lands and croplands. Croplands are dominant and accounted for about 65% (57122 ha) of the total land in 1994, which increased
at the rate of 0.89% to 73% (64772 ha) in 2008, while natural water bodies has the least spatial coverage accounting for
about 0.6% (561 ha) of the total land in 1994, which diminished at the rate of 3.57% to 0.3% (260 ha) in 2008. Climate, altitude,
access and rights to land, demographic changes, poverty, political governance, market availability and economic returns are the
interacting mix of proximate and underlying factors that drive the land cover changes in Oroba-Kibos catchment area. 相似文献
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5.
Mbongowo J. Mbuh 《国际地球制图》2013,28(12):1326-1349
AbstractPhosphorus and nitrogen have a strong influence on water resource and remote sensing technology has demonstrated that water quality monitoring over a greater range of temporal and spatial scales can be used to overcome these constraints. This research was designed to demonstrate the feasibility of combining remotely-sensed water quality observation and chemometric techniques to estimate water quality in the Shenandoah River. We used Airborne Real-time Cueing Hyperspectral Enhanced Reconnaissance (ARCHER) imagery, combined with a partial least squares analysis to characterize the spatial distribution of nutrients in the Sheanadoah river. ARCHER retrievals for phosphorous with cross-validation show high sensitivity in estimating water quality in the Shenandoah River with the Bentonville in the South Fork, with an R2 of 0.93 sensitivity. Using the significance level of 0.05, data from the summer of 2014 showed that the p-value was 0.00 for both nitrogen and phosphorous. Results show retrieval method is transferable. 相似文献