Ramla Khan

Ramla Khan
The Open University (UK)

Doctor of Philosophy

About

4
Publications
1,951
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18
Citations
Introduction
Postgraduate Researcher at Open University, Milton Keynes, UK Working on tree specie classification using remote sensing technology

Publications

Publications (4)
Article
Full-text available
Drought or dryness occurs due to the accumulative effect of certain climatological and hydrological variables over a certain period. Droughts are studied through numerically computed simple or compound indices. Vegetation condition index (VCI) is used for observing the change in vegetation that causes agricultural drought. Since the land surface te...
Article
Full-text available
Unlike most disasters, drought does not appear abruptly. It slowly builds over time due to the changes in different environmental and climatological factors. It is one of the deadly disasters that has plagued almost every region of the globe since early civilization. Droughts are scientifically being studied with the help of either simple or compos...
Preprint
Full-text available
Impacts and repercussions of certain disasters could be seen immediately while other disasters like drought show their deadly effects with time. Droughts are scientifically studied with help of either a simple or a composite indices introduced by researchers and organizations like the Food and Agriculture Organization (FAO), World Meteorological Or...
Article
Full-text available
Drought is one of the deadly natural disasters that leave tearstained faces and broken dreams in its wake. Lifecycle as we know it comes to a halt during a dry season in a region. The purpose of this study was to observe the temporal and spatial variation of droughts in the rain-fed area of Potohar plateau (22,254 km²), Punjab, Pakistan, from 2000...

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Projects

Projects (2)
Project
The main aim would be to use the Treezilla database of the UK for classification of tree species using hyperspectral imagery for the Milton Keynes and Birmingham areas.
Project
Developing an early warning system for predicting Landslides.