Improving accuracy of Eutrophication State Index estimation in Chaohu Lake by moderate resolution remote sensing data driven method

2014 ◽  
Author(s):  
Bo Xiang ◽  
Jing-Wei Song ◽  
Xin-Yuan Wang ◽  
Jing Zhen ◽  
Rui Gao
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Data Driven ◽  
Chaohu Lake ◽  
Sensing Data ◽  
Moderate Resolution ◽  
State Index ◽  
Improving Accuracy ◽  
Index Estimation

Moderate-Resolution Remote Sensing and Geospatial Analyses of Microclimates, Mounds, and Maize in the Northern Great Lakes

2014 ◽  
Vol 2 (3) ◽  
pp. 195-207 ◽  
Author(s):  
Meghan C.L. Howey ◽  
Michael Palace ◽  
Crystal H. McMichael ◽  
Bobby Braswell
Keyword(s):  
Remote Sensing ◽  
Great Lakes ◽  
Remote Sensing Data ◽  
Sensing Data ◽  
Inland Lakes ◽  
Maize Cultivation ◽  
Geospatial Analyses ◽  
Moderate Resolution ◽  
Burial Mounds ◽  
The Impact

AbstractRemote sensing applications are increasingly common in archaeology but they often focus on high resolution imagery and direct archaeological site detection. Moderate spatial resolution remote sensing instruments, which have (near) daily repeat intervals, but contain less detailed spectral and spatial information, have been employed much less frequently in archaeology. However, moderate remote sensing data offer distinct advantages for archaeological research as they can be used to relate archaeological, ecological, and climactic data at vast spatial scales. To show this potential, we use moderate remote sensing data to examine the impact of landscape heterogeneity on the spread of indigenous maize horticulture in the northern Great Lakes during Late Precontact (ca. AD 1200-1600). Analyzing National Aeronautics and Space Administration (NASA) Moderate Resolution Imaging Spectroradiometer (MODIS) imagery, we identify differences in freeze/thaw cycles across inland lakes in Michigan, showing that some large inland lakes produce a microclimatic amelioration, possibly extending the growing season for prehistoric maize cultivation. Conducting geospatial analyses, we find that burial mounds and maize cultivation practices were associated preferentially with larger inland lakes with microclimates. We could not have found these dynamic interrelationships between microclimates, burial mounds, and maize cultivation if not for both the frequent temporal imaging and large spatial coverage provided by moderate resolution remote sensing imagery.

scholarly journals A data-driven epidemiological prediction method for dengue outbreaks using local and remote sensing data

2012 ◽  
Vol 12 (1) ◽  
Author(s):  
Anna L Buczak ◽  
Phillip T Koshute ◽  
Steven M Babin ◽  
Brian H Feighner ◽  
Sheryl H Lewis
Keyword(s):  
Remote Sensing ◽  
Prediction Method ◽  
Remote Sensing Data ◽  
Data Driven ◽  
Sensing Data ◽  
Dengue Outbreaks

scholarly journals A Dynamic Remote Sensing Data-Driven Approach for Oil Spill Simulation in the Sea

2015 ◽  
Vol 7 (6) ◽  
pp. 7105-7125 ◽  
Author(s):  
Jining Yan ◽  
Lizhe Wang ◽  
Lajiao Chen ◽  
Lingjun Zhao ◽  
Bomin Huang
Keyword(s):  
Remote Sensing ◽  
Oil Spill ◽  
Remote Sensing Data ◽  
Data Driven ◽  
Sensing Data ◽  
Data Driven Approach
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