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Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
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- Automated supervised classification (2)
- Automatic mapping (2)
- Boreal forest (2)
- Fire regime (2)
- Fire season (2)
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- Greater Hinggan Mountains (2)
- LULC (2)
- Landsat imagery (2)
- Ordinal logistic regression (2)
- Remote-sensing indices (2)
- Spatial-temporal change (2)
- The bare land (2)
- Unsupervised classification (2)
- Urbanization (2)
- Automatic threshold selection (1)
- Built-up indices (1)
- Classification (1)
- Dimension reduction (1)
- Dongtan (1)
- Eco-city (1)
- Failure (1)
- Forest fire (1)
- Impervious surface area (ISA) (1)
- Landsat (1)
- Mode prediction (1)
- Modified normalized difference impervious surface index (MNDISI) (1)
- Movelets (1)
- Policy mobilities (1)
- Post-fire recovery (1)
- Satellite time series (1)
Articles 1 - 14 of 14
Full-Text Articles in Social and Behavioral Sciences
Environmental Influences On Forest Fire Regime In The Greater Hinggan Mountains, Northeast China, Qian Fan, Cuizhen Wang, Dongyou Zhang, Shuying Zang
Environmental Influences On Forest Fire Regime In The Greater Hinggan Mountains, Northeast China, Qian Fan, Cuizhen Wang, Dongyou Zhang, Shuying Zang
Faculty Publications
Fires are the major disturbances in the Greater Hinggan Mountains, the only boreal forest in Northeast China. A comprehensive understanding of the fire regimes and influencing environmental parameters driving them from small to large fires is critical for effective forest fire prevention and management. Assisted with satellite imagery, topographic data, and climatic records in this region, this study examines its fire regimes in terms of ignition causes, frequencies, seasonality, and burned sizes in the period of 1980–2005. We found an upward trend for fire occurrences and burned areas and an elongated fire season over the three decades. The dates of …
Environmental Influences On Forest Fire Regime In The Greater Hinggan Mountains, Northeast China, Qian Fan, Cuizhen Wang, Dongyou Zhang, Shuying Zang
Environmental Influences On Forest Fire Regime In The Greater Hinggan Mountains, Northeast China, Qian Fan, Cuizhen Wang, Dongyou Zhang, Shuying Zang
Faculty Publications
Fires are the major disturbances in the Greater Hinggan Mountains, the only boreal forest in Northeast China. A comprehensive understanding of the fire regimes and influencing environmental parameters driving them from small to large fires is critical for effective forest fire prevention and management. Assisted with satellite imagery, topographic data, and climatic records in this region, this study examines its fire regimes in terms of ignition causes, frequencies, seasonality, and burned sizes in the period of 1980–2005. We found an upward trend for fire occurrences and burned areas and an elongated fire season over the three decades. The dates of …
A Modified Normalized Difference Impervious Surface Index (Mndisi) For Automatic Urban Mapping From Landsat Imagery, Zhongchang Sun, Cuizhen Wang, Huadong Guo, Ranran Shang
A Modified Normalized Difference Impervious Surface Index (Mndisi) For Automatic Urban Mapping From Landsat Imagery, Zhongchang Sun, Cuizhen Wang, Huadong Guo, Ranran Shang
Faculty Publications
Impervious surface area (ISA) is a key factor for monitoring urban environment and land development. Automatic mapping of impervious surfaces has attracted growing attention in recent years. Spectral built-up indices are considered promising to map ISA distributions due to their easy, parameter-free implementations. This study explores the potentials of impervious surface indices for ISA mapping from Landsat imagery using a case study area in Boston, USA. A modified normalized difference impervious surface index (MNDISI) is proposed, and a Gaussian-based automatic threshold selection method is used to identify the optimal MNDISI threshold for delineating impervious surfaces from background features. To evaluate …
Methods For Real-Time Prediction Of The Mode Of Travel Using Smartphone-Based Gps And Accelerometer Data, Bryan D. Martin, Vittorio Addona, Julian Wolfson, Gediminas Adomavicius, Yingling Fan
Methods For Real-Time Prediction Of The Mode Of Travel Using Smartphone-Based Gps And Accelerometer Data, Bryan D. Martin, Vittorio Addona, Julian Wolfson, Gediminas Adomavicius, Yingling Fan
Faculty Publications
We propose and compare combinations of several methods for classifying transportation activity data from smartphone GPS and accelerometer sensors. We have two main objectives. First, we aim to classify our data as accurately as possible. Second, we aim to reduce the dimensionality of the data as much as possible in order to reduce the computational burden of the classification. We combine dimension reduction and classification algorithms and compare them with a metric that balances accuracy and dimensionality. In doing so, we develop a classification algorithm that accurately classifies five different modes of transportation (i.e., walking, biking, car, bus and rail) …
Some Hispanic And Latino Landscapes Of New Orleans, Andrew Sluyter
Some Hispanic And Latino Landscapes Of New Orleans, Andrew Sluyter
Faculty Publications
No abstract provided.
Mapping Typical Urban Lulc From Landsat Imagery Without Training Samples Or Self-Defined Parameters, Hui Li, Cuizhen Wang, Cheng Zhong, Zhi Zhang, Qingbing Liu
Mapping Typical Urban Lulc From Landsat Imagery Without Training Samples Or Self-Defined Parameters, Hui Li, Cuizhen Wang, Cheng Zhong, Zhi Zhang, Qingbing Liu
Faculty Publications
Land use/land cover (LULC) change is one of the most important indicators in understanding the interactions between humans and the environment. Traditionally, when LULC maps are produced yearly, most existing remote-sensing methods have to collect ground reference data annually, as the classifiers have to be trained individually in each corresponding year. This study presented a novel strategy to map LULC classes without training samples or assigning parameters. First of all, several novel indices were carefully selected from the index pool, which were able to highlight certain LULC very well. Following this, a common unsupervised classifier was employed to extract the …
Mapping Typical Urban Lulc From Landsat Imagery Without Training Samples Or Self-Defined Parameters, Hui Li, Cuizhen Wang, Cheng Zhong, Zhi Zhang, Qingbin Liu
Mapping Typical Urban Lulc From Landsat Imagery Without Training Samples Or Self-Defined Parameters, Hui Li, Cuizhen Wang, Cheng Zhong, Zhi Zhang, Qingbin Liu
Faculty Publications
Land use/land cover (LULC) change is one of the most important indicators in understanding the interactions between humans and the environment. Traditionally, when LULC maps are produced yearly, most existing remote-sensing methods have to collect ground reference data annually, as the classifiers have to be trained individually in each corresponding year. This study presented a novel strategy to map LULC classes without training samples or assigning parameters. First of all, several novel indices were carefully selected from the index pool, which were able to highlight certain LULC very well. Following this, a common unsupervised classifier was employed to extract the …
Assessing Re-Composition Of Xing’An Larch In Boreal Forests After The 1987 Fire, Northeast China, Junjie Wang, Cuizhen Wang, Shuying Zang
Assessing Re-Composition Of Xing’An Larch In Boreal Forests After The 1987 Fire, Northeast China, Junjie Wang, Cuizhen Wang, Shuying Zang
Faculty Publications
Xing’an larch, a deciduous coniferous species, is the zonal tree of the Greater Xing’an Mountains in Northeast China. In May 1987, a catastrophic fire broke out in the mountains and burned 1.3 million hectares of forests in 26 days. While studies have shown that forest greenness has come back to normal in certain years, the re-composition of this zonal species has not been studied after the 1987 fire. With a series of Landsat 8 OLI images acquired in 2013–2015, this study builds the Normalized Difference Vegetation Index (NDVI) and Green Vegetation Index (GVI) time series in a complete growing cycle. …
Digital Hegemonies: The Localness Of Search Engine Results, Andrea Ballatore, Mark Graham, Shilad Sen
Digital Hegemonies: The Localness Of Search Engine Results, Andrea Ballatore, Mark Graham, Shilad Sen
Faculty Publications
Every day, billions of Internet users rely on search engines to find information about places to make decisions about tourism, shopping, and countless other economic activities. In an opaque process, search engines assemble digital content produced in a variety of locations around the world and make it available to large cohorts of consumers. Although these representations of place are increasingly important and consequential, little is known about their characteristics and possible biases. Analyzing a corpus of Google search results generated for 188 capital cities, this article investigates the geographic dimension of search results, focusing on searches such as “Lagos” and …
Mapping Urban Bare Land Automatically From Landsat Imagery With A Simple Index, Hui Li, Cuizhen Wang, Cheng Zhong, Aijun Su, Chengren Xiong, Jinge Wang, Junqi Liu
Mapping Urban Bare Land Automatically From Landsat Imagery With A Simple Index, Hui Li, Cuizhen Wang, Cheng Zhong, Aijun Su, Chengren Xiong, Jinge Wang, Junqi Liu
Faculty Publications
In recent years, hundreds of Earth observation satellites have been launched to collect massive amounts of remote sensing images. However, the considerable cost and time to process the significant amount of data have become the greatest obstacle between data and knowledge. In order to accelerate the transformation from remote sensing images to urban thematic maps, a strategy to map the bare land automatically from Landsat imagery was developed and assessed in this study. First, a normalized difference bare land index (NBLI) was presented to maximally differentiate bare land from other land types in Wuhan City, China. Then, an unsupervised classifier …
Mapping Urban Bare Land Automatically From Landsat Imagery With A Simple Index, Hui Li, Cuizhen Wang, Cheng Zhong, Aijun Su, Chengren Xiong, Jinge Wang, Junqi Liu
Mapping Urban Bare Land Automatically From Landsat Imagery With A Simple Index, Hui Li, Cuizhen Wang, Cheng Zhong, Aijun Su, Chengren Xiong, Jinge Wang, Junqi Liu
Faculty Publications
In recent years, hundreds of Earth observation satellites have been launched to collect massive amounts of remote sensing images. However, the considerable cost and time to process the significant amount of data have become the greatest obstacle between data and knowledge. In order to accelerate the transformation from remote sensing images to urban thematic maps, a strategy to map the bare land automatically from Landsat imagery was developed and assessed in this study. First, a normalized difference bare land index (NBLI) was presented to maximally differentiate bare land from other land types in Wuhan City, China. Then, an unsupervised classifier …
Failure Matters: Reassembling Eco-Urbanism In A Globalizing China, I-Chun Catherine Chang
Failure Matters: Reassembling Eco-Urbanism In A Globalizing China, I-Chun Catherine Chang
Faculty Publications
No abstract provided.
Spring Temperature Variability Over Turkey Since 1800 Ce Reconstructed From A Broad Network Of Tree-Ring Data, Nesibe Köse, H. Tuncay Güner, Grant L. Harley, Joel Guiot
Spring Temperature Variability Over Turkey Since 1800 Ce Reconstructed From A Broad Network Of Tree-Ring Data, Nesibe Köse, H. Tuncay Güner, Grant L. Harley, Joel Guiot
Faculty Publications
The meteorological observational period in Turkey, which starts ca. 1930 CE, is too short for understanding long-term climatic variability. Tree rings have been used intensively as proxy records to understand summer precipitation history of the region, primarily because they have a dominant precipitation signal. Yet, the historical context of temperature variability is unclear. Here, we used higher-order principle components of a network of 23 tree-ring chronologies to provide a high-resolution spring (March–April) temperature reconstruction over Turkey during the period 1800– 2002. The reconstruction model accounted for 67 % (Adj. R 2 = 0.64, p < 0.0001) of the instrumental temperature variance over the full calibration period (1930–2002). The reconstruction is punctuated by a temperature increase during the 20th century; yet extreme cold and warm events during the 19th century seem to eclipse conditions during the 20th century. We found significant correlations between our March–April spring temperature reconstruction and existing gridded spring temperature reconstructions for Europe over Turkey and southeastern Europe. Moreover, the precipitation signal obtained from the tree-ring network (first principle component) showed highly significant correlations with gridded summer drought index reconstruction over Turkey and Mediterranean countries. Our results showed that, beside the dominant precipitation signal, a temperature signal can be extracted from tree-ring series and they can be useful proxies in reconstructing past temperature variability.
Review Of Rice: Global Networks And New Histories, Ed. By Francesca Bray, Peter A. Coclanis, Edda L. Fields-Black, And Dagmar Schäfer, Andrew Sluyter
Review Of Rice: Global Networks And New Histories, Ed. By Francesca Bray, Peter A. Coclanis, Edda L. Fields-Black, And Dagmar Schäfer, Andrew Sluyter
Faculty Publications
No abstract provided.