Date of Award
4-2019
Degree Name
Master of Science
Department
Geography
First Advisor
Dr. Gregory Veeck
Second Advisor
Dr. Charles Emerson
Third Advisor
Dr. Li Yang
Keywords
GIS, remote sensing, LU/LC, China, agriculture
Access Setting
Masters Thesis-Open Access
Abstract
According to McGee and Ginsburg’s desakota hypothesis, rapidly growing Asian cities differ from large Western cities in their land cover/land use (LC/LU) as they retain a significant portion of agricultural land and labor despite rapid urbanization. However, significant amounts of agricultural production within desakotas takes place in plastic greenhouses, causing a unique problem when calculating LC/LU estimates via traditional remote sensing techniques. While greenhouses appear equivalent to developed land spectrally, their purpose is entirely agricultural. This study provides an improved method of calculating greenhouse land-cover as agricultural land-use using Jiangning District in the city of Nanjing as the study area of the desakota hypothesis. Satellite images from Landsat 8 Operational Land Imager (OLI) and Landsats 4 and 5 Thematic Mapper (TM) of Nanjing at 30-meter pixel resolution are analyzed for the years 2000, 2010, and 2015, and also incorporating an additional 2-meter pixel resolution image from WorldView-2 for 2015. Additional archival data, ground truthing and training points were collected on-site in Nanjing in May 2018. Synthesizing high- and medium-resolution images into per-pixel and object-based classification techniques achieved a marginal increase in greenhouse areas incorporated into estimates of arable land.
Recommended Citation
Breidinger, Erik, "The Use of High and Medium Resolution Imagery to Detect Agricultural Land Cover in Chinese Cities: A Case Study of Nanjing 2000 to 2015" (2019). Masters Theses. 4318.
https://scholarworks.wmich.edu/masters_theses/4318