Social and Behavioral Sciences Commons^™

Effects Of Human Activities On The Afaka Afforestation Project, Kaduna North, Kaduna State, Nigeria, Mamman Shaba Jibril, Mary Oluyemisi Ariyo, Ali Williams Butu, Chukwudi Nnaemeka Emeribe

Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)

The study aimed to investigate the effects of human activities on the Afaka afforestation project, Kaduna State, Nigeria. Structured interview was used to evaluate the level of community involvement in the modification of the forest project, their perceived environmental effects of landcover loss. Landsat images of 1986, 1999 and Sentinel-2 image of 2017 were applied for detection of changes in land use/land cover over the years (1986-2017). The study found that the land cover structure of the forest reserve has changed significantly. In 1986, area under crop cultivation was 19.24%, built-up areas, 0.08%, disturbed forest, 7.57%, gully, 2.60%, riparian vegetation, …

Algorithm Performance On The Estimation Of Cdom And Doc In The North Slopes Of Alaska, Monica Weisenbach

Masters Theses

Use of satellite imagery makes environmental monitoring easy and convenient with little of the logistics involved in planning sampling campaigns. Colored dissolved organic matter (CDOM) is an important component to track as a proxy for the large pool of dissolved organic carbon (DOC). In a world contending with the looming issue of global climate change, the ability to investigate the carbon cycle of inland to coastal environments allows for examination of the magnitude of carbon flowing through the system and potential changes over years. The Arctic region is a critical area for climate change impacts but is a difficult landscape …

Observations Of Post-Wildfire Landcover Trends In Boreal Alaska Using A Suite Of Remote Sensing Approaches, Eric John Deutsch

Theses - ALL

Wildfires are a common occurrence in the boreal ecosystems of the Pacific Northwest. Studies suggest that anthropogenic climate change has fostered more frequent and higher severity fires in recent decades in these forests, which may result in substantial changes in vegetation structure and ecosystem functioning. However, large-scale studies examining the linkages between changing boreal wildfire regimes and vegetation structure have historically been limited in spatial scope due to the broad area and inaccessibility of many boreal regions, including the Alaskan interior. The development and advancement of satellite remote sensing instruments and geospatial analysis techniques provide researchers with unmatched abilities to …

Monitoring War Destruction From Space Using Machine Learning, Hannes Mueller, Andre Groeger, Jonathan Hersh, Andrea Matranga, Joan Serrat

Economics Faculty Articles and Research

Satellite imagery is becoming ubiquitous. Research has demonstrated that artificial intelligence applied to satellite imagery holds promise for automated detection of war-related building destruction. While these results are promising, monitoring in real-world applications requires high precision, especially when destruction is sparse and detecting destroyed buildings is equivalent to looking for a needle in a haystack. We demonstrate that exploiting the persistent nature of building destruction can substantially improve the training of automated destruction monitoring. We also propose an additional machine-learning stage that leverages images of surrounding areas and multiple successive images of the same area, which further improves detection significantly. …

Spatial Assessment Of Urban Growth In Cities Of The Decapolis; And The Implications For Modern Cities, Wade A. Pierson

Graduate Theses and Dissertations

The Levant’s Decapolis was a network of ten cities in Greco-Roman Israel, Jordan, and Syria that established a thriving economic community. The Decapolis was home to ancient and modern cities like Damascus (Dammásq) and Amman (Philadelphia). Despite the various origins of these cities, Roman administration and their city planners oversaw the implementation of idealized Roman city form throughout the region. Three Decapolis cities represent intriguing examples of the larger confederation. Philadelphia (Amman), Gerasa (Jerash), and Gadara (Umm Qais) represent cities of common original urban form which developed drastically diverse urban morphologies over time.

Spatial analyses of these cities required working …

Remote Sensing Applications In Population Estimation, Regression Analysis, And Urban Growth Simulation Modeling For A Middle Eastern City, Elaf Amer Alyasiri

Graduate Research Theses & Dissertations

Due to a change in government regime and population migration, the City of Hillah in Iraq has been facing several urban issues, particularly population estimating and urban growth planning. Since the last census conducted in 1997, population in Iraq has been estimated based on the annual growth, without considering migration as factor of the population growth. Therefore, the aim of this dissertation study was to develop a population estimation method and an urban growth simulation method for the City of Hillah. Population data were estimated for Hillah, using the Normalized Difference Built-up Index (NDBI) derived from Remote Sensing (RS) and …

A Karst Feature Prediction Model For Prince Of Wales Island, Alaska Based On High Resolution Lidar Imagery, Alexander Lyles

Master's Theses

Investigation into surface karst formation is significant to hazard prediction, hydrogeologic drainage, and land management. Southeast Alaska contains over 600,000 acres of mapped carbonate bedrock, and some of the fastest recorded karst dissolution in the world. The objectives of this study are to develop and compare multiple semi-automated models to map and delineate karst features from bare-earth LiDAR imagery using ArcGIS Desktop 10.7, and to apply a preliminary geostatistical analysis of sinkhole morphometric parameters to highlight potential spatial patterns of karst evolution on Prince of Wales Island, Alaska. A semi-automated approach of mapping karst features provides a dataset that minimizes …