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Full-Text Articles in Other Physical Sciences and Mathematics
Accuracy Of Supervised Classification Of Cropland In Sub–Saharan Africa, Sarah Lynn Lewis-Gonzales
Accuracy Of Supervised Classification Of Cropland In Sub–Saharan Africa, Sarah Lynn Lewis-Gonzales
Masters Theses
Mali is a country in sub–Saharan Africa where monitoring of cropped land area would greatly benefit food security initiatives and aid organizations. More importantly village–scale studies on cropped land are fundamental to making a difference in the way we look at cropped land area and food availability in this region of the world. Using Landsat surface reflectance imagery and World View–2 derived labeled data, this study focuses on accuracy of supervised classification methods while addressing various levels of scale. Several classification methods are taken into account to determine the best method possible to produce cropped area estimates using this data. …
Identification Of Slums In Mumbai, India: Unsupervised Classification Techniques, Frankie St. Amand
Identification Of Slums In Mumbai, India: Unsupervised Classification Techniques, Frankie St. Amand
Thinking Matters Symposium Archive
Slums are contiguous settlements. Inhabitants lack access to safe water, sanitation and sewage infrastructure, secure housing tenure, uncrowded living space, and permanent, durable housing. Addressing these problematic trends begins with identifying contiguous settlements within Mumbai’s urban fabric. Classifications can be performed using satellite images and remote sensing techniques to yield accurate results. Through literature reviews, socio-cultural analysis, and examination of high resolution satellite imagery, this project aims to develop a systematic, accessible, and reproducible method of classifying Mumbai’s slums.