scholarly journals Remote sensing as the foundation for high-resolution United States landscape projections – The Land Change Monitoring, assessment, and projection (LCMAP) initiative

2019 ◽  
Vol 120 ◽  
pp. 104495 ◽  
Author(s):  
Terry Sohl ◽  
Jordan Dornbierer ◽  
Steve Wika ◽  
Charles Robison
Keyword(s):  
United States ◽  
Remote Sensing ◽  
High Resolution ◽  
Land Change ◽  
Change Monitoring

scholarly journals Lessons learned implementing an operational continuous United States national land change monitoring capability: The Land Change Monitoring, Assessment, and Projection (LCMAP) approach

2020 ◽  
Vol 238 ◽  
pp. 111356 ◽  
Author(s):  
Jesslyn F. Brown ◽  
Heather J. Tollerud ◽  
Christopher P. Barber ◽  
Qiang Zhou ◽  
John L. Dwyer ◽  
...  
Keyword(s):  
United States ◽  
Lessons Learned ◽  
Land Change ◽  
Change Monitoring

scholarly journals Research on Cultivated Land Change Based on GIS and High Resolution Remote Sensing Images

2018 ◽  
Vol 228 ◽  
pp. 02013
Author(s):  
Haibo Yu
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Automatic Monitoring ◽  
Research Area ◽  
Decision Fusion ◽  
Land Change ◽  
Fuzzy Decision ◽  
Remote Sensing Images ◽  
Monitoring Method ◽  
Gis Data

This paper study an automatic monitoring method for land change based on high resolution remote sensing images and GIS data, and we use three classification methods to classify and fuse the research area. Secondly, the paper calculates the corresponding map class components and compares them with their historical attributes; it can automatically monitor land use change. The experimental results show that the fuzzy decision fusion classification can significantly improve the classification effect, and it can accurately determine the change area accurately and automatically. However, there are some partial errors in the region.

A remote sensing approach for evaluating regional-scale topsoil loss in the Midwestern United States

2020 ◽  
Author(s):  
Isaac Larsen ◽  
Evan Thaler ◽  
Qian Yu
Keyword(s):  
United States ◽  
Remote Sensing ◽  
High Resolution ◽  
Soil Erosion ◽  
Carbon Cycle ◽  
Soil Loss ◽  
Agricultural Landscapes ◽  
Economic Losses ◽  
Corn Belt ◽  
Midwestern United States

<p>Soil erosion in agricultural landscapes reduces crop yields and influences the global carbon cycle. However, the magnitude of historical topsoil loss remains poorly quantified at large, regional spatial scales, hindering predictions of economic losses to farmers and quantification of the role soil erosion plays in the carbon cycle. We focus on one of the world’s most productive agricultural regions, the Corn Belt of the Midwestern United States and use a novel spectral remote sensing method to map areas of complete topsoil loss in agricultural fields. Using high-resolution satellite images and the association between topsoil loss and topographic curvature, we use high resolution LiDAR topographic data to scale-up soil loss predictions to 3.7x10<sup>5</sup> km<sup>2</sup> of the Corn Belt. Our results indicate 34±12% of the region has completely lost topsoil as a result of agriculturally-accelerated erosion. Soil loss is most prevalent on convex slopes, and hilltops throughout the region are often completely denuded of topsoil indicating that tillage is a major driver of erosion, yet tillage erosion is not simulated in models used to assess soil loss trends in the U.S. We estimate that soil regenerative farming practices could restore 16±4.4 Pg of carbon to the exposed subsoil in the region. Soil regeneration would offset at least $2.5±0.3 billion in annual economic losses to farmers while generating a carbon sink equivalent to 8±3 years of U.S. CO<sub>2</sub> emissions, or ~14% of the global soil carbon lost since the advent of agriculture.  </p>

scholarly journals Road Vector Map Change Monitoring Based on High Resolution Remote Sensing Images

2014 ◽  
Vol 03 (04) ◽  
pp. 272-279
Author(s):  
Ting Yang ◽  
Lulin Zhang ◽  
Haitao Wang ◽  
Yong Zhang
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Remote Sensing Images ◽  
Vector Map ◽  
Change Monitoring

Assessment of the national market demand for high-resolution remote sensing data

2002 ◽  
Vol 8 (1) ◽  
pp. 15-22
Author(s):  
V.N. Astapenko ◽  
◽  
Ye.I. Bushuev ◽  
V.P. Zubko ◽  
V.I. Ivanov ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Remote Sensing Data ◽  
Market Demand ◽  
Sensing Data ◽  
National Market

Measuring Exposome Associated with Health

2020 ◽  
pp. 46-50
Keyword(s):  
Mass Spectrometry ◽  
Remote Sensing ◽  
High Resolution ◽  
Biological Effect ◽  
High Resolution Mass Spectrometry ◽  
The Body ◽  
Ecological Environment ◽  
Special Issue ◽  
The Life Course ◽  
Resolution Mass

The concept of exposome has received increasing discussion, including the recent Special Issue of Science –"Chemistry for Tomorrow's Earth,” about the feasibility of using high-resolution mass spectrometry to measure exposome in the body, and tracking the chemicals in the environment and assess their biological effect. We discuss the challenges of measuring and interpreting the exposome and suggest the survey on the life course history, built and ecological environment to characterize the sample of study, and in combination with remote sensing. They should be part of exposomics and provide insights into the study of exposome and health.

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