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Interannual Variations And Trends In Global Land Surface Phenology Derived From Enhanced Vegetation Index During 1982–2010, Xiaoyang Zhang, Bin Tan, Yunyue Yu 2016 South Dakota State University

Interannual Variations And Trends In Global Land Surface Phenology Derived From Enhanced Vegetation Index During 1982–2010, Xiaoyang Zhang, Bin Tan, Yunyue Yu

Xiaoyang Zhang

Land surface phenology is widely retrieved from satellite observations at regional and global scales, and its long-term record has been demonstrated to be a valuable tool for reconstructing past climate variations, monitoring the dynamics of terrestrial ecosystems in response to climate impacts, and predicting biological responses to future climate scenarios. This study detected global land surface phenology from the advanced very high resolution radiometer (AVHRR) and the Moderate Resolution Imaging Spectroradiometer (MODIS) data from 1982 to 2010. Based on daily enhanced vegetation index at a spatial resolution of 0.05 degrees, we simulated the seasonal vegetative trajectory for each individual ...


Daily Modis 500 M Reflectance Anisotropy Direct Broadcast (Db) Products For Monitoring Vegetation Phenology Dynamics, Yanmin Shuai, Crystal Schaaf, Xiaoyang Zhang, Alan Strahler, David P. Roy, Jeffery Morisette, Zhuosen Wang, Joanne Nightingale, Jaime Nickerson, Andrew D. Richardson, Donghui Xie, Jindi Wang, Xiaowen Li, Kathleen Strabala, James E. Davies 2016 NASA Goddard Space Flight Center

Daily Modis 500 M Reflectance Anisotropy Direct Broadcast (Db) Products For Monitoring Vegetation Phenology Dynamics, Yanmin Shuai, Crystal Schaaf, Xiaoyang Zhang, Alan Strahler, David P. Roy, Jeffery Morisette, Zhuosen Wang, Joanne Nightingale, Jaime Nickerson, Andrew D. Richardson, Donghui Xie, Jindi Wang, Xiaowen Li, Kathleen Strabala, James E. Davies

Xiaoyang Zhang

Land surface vegetation phenology is an efficient bio-indicator for monitoring ecosystem variation in response to changes in climatic factors. The primary objective of the current article is to examine the utility of the daily MODIS 500 m reflectance anisotropy direct broadcast (DB) product for monitoring the evolution of vegetation phenological trends over selected crop, orchard, and forest regions. Although numerous model-fitted satellite data have been widely used to assess the spatio-temporal distribution of land surface phenological patterns to understand phenological process and phenomena, current efforts to investigate the details of phenological trends, especially for natural phenological variations that occur on ...


A Comparison Of Tropical Rainforest Phenology Retrieved From Geostationary (Seviri) And Polar-Orbiting (Modis) Sensors Across The Congo Basin, Dong Yan, Xiaoyang Zhang, Yunyue Yu, Wei Guo 2016 South Dakota State University

A Comparison Of Tropical Rainforest Phenology Retrieved From Geostationary (Seviri) And Polar-Orbiting (Modis) Sensors Across The Congo Basin, Dong Yan, Xiaoyang Zhang, Yunyue Yu, Wei Guo

Xiaoyang Zhang

The seasonal and interannual dynamics of tropical rainforests play a critical role in the global carbon cycle and climate change. This paper retrieved and compared land surface phenology from observations acquired by the Spinning Enhanced Visible and Infrared Imager (SEVIRI) onboard geostationary satellites and the Moderate Resolution Imaging Spectroradiometer (MODIS) on polar-orbiting satellites over the Congo Basin. To achieve this,we first retrieved canopy greenness cycles (CGCs) and their transition timing from two-band enhanced vegetation index (EVI2) derived from SEVIRI and MODIS data between 2006 and 2013.We then assessed the influences of SEVIRI and MODIS data quality on the ...


A Cross Comparison Of Spatiotemporally Enhanced Springtime Phenological Measurements From Satellites And Ground In A Northern U.S. Mixed Forest, Liang Liang, Mark D. Schwartz, Zhuosen Wang, Feng Gao, Crystal B. Schaaf, Bin Tan, Jeffrey T. Morisette, Xiaoyang Zhang 2016 University of Kentucky

A Cross Comparison Of Spatiotemporally Enhanced Springtime Phenological Measurements From Satellites And Ground In A Northern U.S. Mixed Forest, Liang Liang, Mark D. Schwartz, Zhuosen Wang, Feng Gao, Crystal B. Schaaf, Bin Tan, Jeffrey T. Morisette, Xiaoyang Zhang

Xiaoyang Zhang

Cross comparison of satellite-derived land surface phenology (LSP) and ground measurements is useful to ensure the relevance of detected seasonal vegetation change to the underlying biophysical processes. While standard 16-day and 250-m Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation index (VI)-based springtime LSP has been evaluated in previous studies, it remains unclear whether LSP with enhanced temporal and spatial resolutions can capture additional details of ground phenology. In this paper, we compared LSP derived from 500-m daily MODIS and 30-m MODIS-Landsat fused VI data with landscape phenology (LP) in a northern U.S. mixed forest. LP was previously developed from ...


Reconstruction Of Daily 30 M Data From Hj Ccd, Gf-1 Wfv, Landsat, And Modis Data For Crop Monitoring, Mingquan Wu, Xiaoyang Zhang, Wenjiang Huang, Zheng Niu, Changyao Wang, Wang Li, Pengyu Hao 2016 Chinese Academy of Sciences

Reconstruction Of Daily 30 M Data From Hj Ccd, Gf-1 Wfv, Landsat, And Modis Data For Crop Monitoring, Mingquan Wu, Xiaoyang Zhang, Wenjiang Huang, Zheng Niu, Changyao Wang, Wang Li, Pengyu Hao

Xiaoyang Zhang

With the recent launch of new satellites and the developments of spatiotemporal data fusion methods, we are entering an era of high spatiotemporal resolution remote-sensing analysis. This study proposed a method to reconstruct daily 30 m remote-sensing data for monitoring crop types and phenology in two study areas located in Xinjiang Province, China. First, the Spatial and Temporal Data Fusion Approach (STDFA) was used to reconstruct the time series high spatiotemporal resolution data from the Huanjing satellite charge coupled device (HJ CCD), Gaofen satellite no. 1 wide field-of-view camera (GF-1 WFV), Landsat, and Moderate Resolution Imaging Spectroradiometer (MODIS) data. Then ...


Near-Real-Time Global Biomass Burning Emissions Product From Geostationary Satellite Constellation, Xiaoyang Zhang, Shobha Kondragunta, Jessica Ram, Christopher Schmidt, Ho-Chung Huang 2016 South Dakota State University

Near-Real-Time Global Biomass Burning Emissions Product From Geostationary Satellite Constellation, Xiaoyang Zhang, Shobha Kondragunta, Jessica Ram, Christopher Schmidt, Ho-Chung Huang

Xiaoyang Zhang

Near-real-time estimates of biomass burning emissions are crucial for air quality monitoring and forecasting. We present here the first near-real-time global biomass burning emission product from geostationary satellites (GBBEP-Geo) produced from satellite-derived fire radiative power (FRP) for individual fire pixels. Specifically, the FRP is retrieved using WF_ABBA V65 (wildfire automated biomass burning algorithm) from a network of multiple geostationary satellites. The network consists of two Geostationary Operational Environmental Satellites (GOES) which are operated by the National Oceanic and Atmospheric Administration, the Meteosat second-generation satellites (Meteosat-09) operated by the European Organisation for the Exploitation of Meteorological Satellites, and the Multifunctional Transport ...


Evaluation Of The Uav-Based Multispectral Imagery And Its Application For Crop Intra-Field Nitrogen Monitoring And Yield Prediction In Ontario, Yang Song 2016 The University of Western Ontario

Evaluation Of The Uav-Based Multispectral Imagery And Its Application For Crop Intra-Field Nitrogen Monitoring And Yield Prediction In Ontario, Yang Song

Electronic Thesis and Dissertation Repository

Unmanned Aerial Vehicle (UAV) has the capability of acquiring high spatial and temporal resolution images. This new technology fills the data gap between satellite and ground survey in agriculture. In addition, UAV-based crop monitoring and methods are new challenge of remote sensing application in agriculture.

First, in my thesis the potential of UAV-based imagery was investigated to monitor spatial and temporal variation of crop status in comparison with RapidEye. The correlation between red-edge indices and LAI and biomass are higher for UAV-based imagery than that of RapidEye. Secondly, the nitrogen weight and yield in wheat was predicted using the UAV-based ...


Automated Impact Crater Detection And Characterization Using Digital Elevation Data, Ian M. Pritchard 2016 The University of Western Ontario

Automated Impact Crater Detection And Characterization Using Digital Elevation Data, Ian M. Pritchard

Electronic Thesis and Dissertation Repository

Impact craters are used as subjects for the remote study of a wide variety of surface and subsurface processes throughout the solar system. Their populations and shape characteristics are collected, often manually, and analysed by a large community of planetary scientists. This research investigates the application of automated methods for both the detection and characterization of impact craters on the Moon and Mars, using machine learning techniques and digital elevation data collected by orbital spacecraft. We begin by first assessing the effect of lunar terrain type variation on automated crater detection results. Next, we develop a novel automated crater degradation ...


Accuracy Assessment Of Pictometry® Height Measurements Stratified By Cardinal Direction And Image Magnification Factor, Daniel Unger, David Kulhavy, I-Kuai Hung, Yanli Zhang 2016 Stephen F Austin State University

Accuracy Assessment Of Pictometry® Height Measurements Stratified By Cardinal Direction And Image Magnification Factor, Daniel Unger, David Kulhavy, I-Kuai Hung, Yanli Zhang

International Journal of Geospatial and Environmental Research

The aim of this project was to ascertain if Pictometry® estimated height could be used in lieu of field-based height estimation. Height of a light pole measured with a telescopic height pole was compared to Pictometry® hyperspatial 4-inch (10.2 centimeters) multispectral imagery estimated light pole height on the campus of Stephen F. Austin State University, Nacogdoches, Texas. Average percent agreement between light pole height and Pictometry® estimated light pole height summarized by Pictometry® image magnification factors at 100%, 125%, 150%, 200%, and 300% magnification were within 98% of light pole height with percent disagreement ranging from 1.37% to ...


Habitat Suitability Modeling For The Mississippi Sandhill Crane, Grus Canadensis Pulla, Linda C. Salande 2016 University of New Orleans

Habitat Suitability Modeling For The Mississippi Sandhill Crane, Grus Canadensis Pulla, Linda C. Salande

University of New Orleans Theses and Dissertations

In this study, I modeled the suitability of habitat on the Mississippi Sandhill Crane National Wildlife Refuge for the federally endangered Mississippi Sandhill Crane (Grus Canadensis pulla). Habitat type and suitability changed over time due to seasonality of vegetation and succession in the absence of burning. Cranes used highly suitable habitat more in the non-growing than in the growing season, and may have been more constrained by resource availability during winter months. Cranes used some less-suitable areas including cypress drains, which provide roosting sites, and supplemental food plots. The mismatch between predicted quality and crane use suggests that no single ...


Projects In Geospatial Data Analysis: Spring 2016, Robert Crimi, Elanor Hoak, Ishita Srivastava, Jesse Wisniewski, Jonathan Blackstock, Keerthi Chikalbettu Pai, Melissa Bica, Michelle Bray, Mikhail Chowdhury, Monal Narasimhamurthy, Nika Shafranov, Sachin Muralidhara, Satchel Spencer, Saurabh Sood, Caleb Phillips 2016 University of Colorado, Boulder

Projects In Geospatial Data Analysis: Spring 2016, Robert Crimi, Elanor Hoak, Ishita Srivastava, Jesse Wisniewski, Jonathan Blackstock, Keerthi Chikalbettu Pai, Melissa Bica, Michelle Bray, Mikhail Chowdhury, Monal Narasimhamurthy, Nika Shafranov, Sachin Muralidhara, Satchel Spencer, Saurabh Sood, Caleb Phillips

Computer Science Technical Reports

This document contains semester projects for students in CSCI 4380/7000 Geospatial Data Analysis (GSA). The course explores the technical aspects of programmatic geospatial data analysis with a focus on GIS concepts, custom GIS programming, analytical and statistical methods, and open source tools and frameworks.


A Comparison Of Tropical Rainforest Phenology Retrieved From Geostationary (Seviri) And Polar-Orbiting (Modis) Sensors Across The Congo Basin, Dong Yan, Xiaoyang Zhang, Yunyue Yu, Wei Guo 2016 South Dakota State University

A Comparison Of Tropical Rainforest Phenology Retrieved From Geostationary (Seviri) And Polar-Orbiting (Modis) Sensors Across The Congo Basin, Dong Yan, Xiaoyang Zhang, Yunyue Yu, Wei Guo

GSCE Faculty Publications

The seasonal and interannual dynamics of tropical rainforests play a critical role in the global carbon cycle and climate change. This paper retrieved and compared land surface phenology from observations acquired by the Spinning Enhanced Visible and Infrared Imager (SEVIRI) onboard geostationary satellites and the Moderate Resolution Imaging Spectroradiometer (MODIS) on polar-orbiting satellites over the Congo Basin. To achieve this,we first retrieved canopy greenness cycles (CGCs) and their transition timing from two-band enhanced vegetation index (EVI2) derived from SEVIRI and MODIS data between 2006 and 2013.We then assessed the influences of SEVIRI and MODIS data quality on the ...


The Invisible People Of The Invisible Coast: The Resilience Of People Experiencing Homelessness To Disasters On The Alabama, Louisiana, And Mississippi Gulf Coasts, Nicole Elizabeth Callais 2016 The University of Southern Mississippi

The Invisible People Of The Invisible Coast: The Resilience Of People Experiencing Homelessness To Disasters On The Alabama, Louisiana, And Mississippi Gulf Coasts, Nicole Elizabeth Callais

Master's Theses

While extensive research has been conducted on vulnerability and resilience with regard to hazards, very few studies have researched the resilience of homeless populations. The Gulf Coast region is densely populated and susceptible to natural and anthropogenic hazards. Climate change studies indicate that this region will experience an increase in severe and intense tropical cyclones[1], thereby increasing the risk of experiencing adverse impacts from future coastal hazards. While local government agencies in this region have policies in place to protect communities, these policies tend to exclude any action regarding the evacuation and safety of the homeless population.

In this ...


Land Cover Data For The Mississippi-Alabama Barrier Islands, 2010-2011 Arcgis V10.3 Geodatabase, Gregory A. Carter, Carlton P. Anderson, Kelly L. Lucas, Nathan L. Hopper 2016 University of Southern Mississippi

Land Cover Data For The Mississippi-Alabama Barrier Islands, 2010-2011 Arcgis V10.3 Geodatabase, Gregory A. Carter, Carlton P. Anderson, Kelly L. Lucas, Nathan L. Hopper

Land Cover Data for the Mississippi-Alabama Barrier Islands, 2010-2011

Land cover on the Mississippi-Alabama barrier islands was surveyed in 2010-2011 as part of continuing research on island geomorphic and vegetation dynamics following the 2005 impact of Hurricane Katrina. Results of the survey include sub-meter GPS location, a listing of dominant vegetation species and field photographs recorded at 375 sampling locations distributed among Cat, West Ship, East Ship, Horn, Sand, Petit Bois and West Dauphin Islands. The survey was conducted in a period of intensive remote sensing data acquisition over the northern Gulf of Mexico by federal, state and commercial organizations in response to the 2010 Macondo Well (Deepwater Horizon ...


Land Change Modeler Application:Summer Internship With Clark Labs, Siqi Cheng, Nan Ding 2016 Clark University

Land Change Modeler Application:Summer Internship With Clark Labs, Siqi Cheng, Nan Ding

International Development, Community and Environment (IDCE)

This paper is a description of our internship with Clark Labs in the summer of 2015. We worked as research assistants in the Land Change Modeler Application (App) project. This project aimed to display the land cover changes in the United States from 2001 to 2010, show the vulnerability in 48 states and predict changes from the yaer 2050. Our responsibility was to extract eight variables (slope, elevation, surface water, roads, high intensity land, protected areas, county subdivisions, and cultivated crops) in TerrSet, and use them in several models to test the accuracy of prediction.

The internship is a great ...


Land Change Modeler Application: Summer Internship With Clark Labs, Nan Ding, Siqi Cheng 2016 Clark University

Land Change Modeler Application: Summer Internship With Clark Labs, Nan Ding, Siqi Cheng

International Development, Community and Environment (IDCE)

This paper is a description of our internship with Clark Labs in the summer of 2015. We worked as research assistants in the Land Change Modeler Application (App) project. This project aimed to display the land cover changes in the United States from 2001 to 2010, show the vulnerability in 48 states and predict changes from the yaer 2050. Our responsibility was to extract eight variables (slope, elevation, surface water, roads, high intensity land, protected areas, county subdivisions, and cultivated crops) in TerrSet, and use them in several models to test the accuracy of prediction.

The internship is a great ...


Remote Sensing Specialist Summer Internship At Geoadaptive Llc., Zehan Li 2016 Clark University

Remote Sensing Specialist Summer Internship At Geoadaptive Llc., Zehan Li

International Development, Community and Environment (IDCE)

This paper describes my summer internship experience during the summer of 2015, as a requirement toward my master's degree. I worked as a full-time remote sensing specialist at GeoAdaptive LLC., which locates at downtown Boston. My work covers a variety ranging from providing technical support like data collecting and visualization to other research groups at the firm, to conducting a pioneer project regrading the large scale drought monitoring using publicly available data. As someone who learnt a great deal and valued this experience greatly, I would love to recommend this internship to other fellow GISDE students when they take ...


The State Of Tobacco : A Remote Sensing Approach To Understanding Tobacco Crop Production In Kentucky., Laura Krauser 2016 University of Louisville

The State Of Tobacco : A Remote Sensing Approach To Understanding Tobacco Crop Production In Kentucky., Laura Krauser

College of Arts & Sciences Senior Honors Theses

Agricultural policy allows for governing bodies to better control the landscape, economy, and security of resources. Because of this power, it is essential for policy and its effects to be thoroughly understood. This study examines the Tobacco Transition Payment Program (TTPP, “tobacco buyout”), in effect from 2005 to 2014, using a mixed methods approach. The TTPP lifted the existing geographic restrictions of tobacco production and deregulated market prices formerly controlled by the government. Kentucky’s economic, social, and agricultural landscapes changed significantly in the wake of this legislation. To explore these changes, this study employs semi-structured interviews and remote sensing ...


An Evaluation Of Multiple Endmember Spectral Mixture Analysis Applied To Landsat 8 Oli Images For Mapping Land Cover In Southern Africa's Savanna., Fernando Ferreira Caixeta 2016 University of Louisville

An Evaluation Of Multiple Endmember Spectral Mixture Analysis Applied To Landsat 8 Oli Images For Mapping Land Cover In Southern Africa's Savanna., Fernando Ferreira Caixeta

UofL Electronic Theses and Dissertations

Mapping land cover in southern Africa’s savannas using traditional pixel based remote sensing techniques can be very challenging due to the heterogeneity of its vegetation structure and the spectral difficulty in separating similar land covers across various land uses. In order to overcome these complications, a Multiple Endmember Spectral Mixture Analysis (MESMA) provides a potential remote sensing approach to quantify spectral variation in the physical environment at a subpixel level. The MESMA approach was applied in the study area of the Mayuni Conservancy, in Namibia. Results show that 32.3% of the study area is covered by photosynthetic vegetation ...


Global Population Distributions And The Environment : Discerning Observed Global And Regional Patterns., Jeremiah J. Nieves 2016 University of Louisville

Global Population Distributions And The Environment : Discerning Observed Global And Regional Patterns., Jeremiah J. Nieves

UofL Electronic Theses and Dissertations

Between 1990 to 2015, numerous groups used ancillary data about the environment surrounding populations to more accurately map global populations from standard census data. No comprehensive study has been undertaken to characterize the observed relationships between population density and ancillary data. Better understanding these relationships may produce more accurate population maps, focus resources on new datasets with a high probability of modelling importance, and lead to expanded end-user applications. This study examined these relationships by extracting variable importances from 36 independently run, country-specific population models from the WorldPop project’s population data. Covariate data describing urban/suburban extents were found ...


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