Urban land use cover changes in three developed cities of the United States: San Diego, Denver, and Buffalo

Garzon, Alba Rocio Gutierrez; Lee, Taeyoon; Merry, Krista; Bektas, Volkan; Cruise-Palmer, Jennifer; Bettinger, Pete

doi:10.1016/j.heliyon.2022.e09093

Cited by 6 publications

(1 citation statement)

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“…Remote sensing techniques, such as the calculation of the Normalized Difference Built-up Index (NDBI), combined with the analysis of Google Earth images at different times, can provide valuable insights into changes in land cover. Google Earth's high-resolution aerial imagery offers images taken several years apart, making it a cost-effective (open-source) method for detailed land cover classification (Garzon et al, 2022;Chapa et al, 2019). Despite the potential advantages of utilizing remote sensing to evaluate land use changes around the Trans-Java toll road, there is a lack of comprehensive research in this area.…”

Section: Introductionmentioning

confidence: 99%

The Impact of the Trans-Java Toll Road Development on Spatial Planning in the Northern Region of Java Island: A Study Utilizing NDBI and Google Earth Images

Shofy,

Wibowo

2023

Idn. J. Earth Sci.

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The primary objective of toll roads is to stimulate economic growth. As the pivotal road network on Java Island, the Trans-Java Toll Road has a significant impact on regional development and spatial planning. However, there has been a lack of research focusing on the specific influence of this toll road on spatial planning. Therefore, this study aims to comprehensively examine the spatial and temporal implications of the Trans-Java Toll Road. To achieve this goal, the Normalized Difference Built-Up Index (NDBI) method is employed using satellite imagery. This method is widely recognized for its effectiveness in detecting changes in built-up areas through remote sensing techniques. The calculated NDBI values reveal substantial expansion of built-up areas in the cities and regencies traversed by the Trans-Java Toll Road. Notably, two specific areas with the highest rates of change are investigated: Gresik Regency and Bekasi Regency, where the built-up areas have experienced remarkable growth of over 186.9% and 61.8% respectively over a five-year period. To validate these findings, Google Earth imagery is utilized for two different years, namely 2016 and 2021. The observed changes in these regions are predominantly attributed to the economic growth facilitated by the establishment of industrial areas. Consequently, the expansion of industrial zones and settlements has resulted in a notable reduction in wetland areas and a simultaneous increase in built-up areas.

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Section: Introductionmentioning

confidence: 99%