Mathematical Problems in Engineering

Mathematics in Utilizing Remote Sensing Data for Investigating and Modelling Environmental Problems


Status
Published

Lead Editor

1National Institute for Environmental Studies, Tsukuba, Japan

2United Nations University, Shibuya, Japan

3Hiroshima University, Higashihiroshima, Japan

4Flinders University, Adelaide, Australia


Mathematics in Utilizing Remote Sensing Data for Investigating and Modelling Environmental Problems

Description

Remote sensing data have already proven useful for environmental monitoring. Satellite remote sensors are major sources of consistent, continuous data for land, ocean, and atmospheric studies at a variety of spatial and temporal scales. As climate change and population growth place increasing pressures in many parts of the world, improved methods for monitoring urban growth across a range of spatial and temporal scales will be vital for understanding and addressing the impacts of urbanization on our natural resources. The meaningful interpretation of remote sensing data and in situ observations require implementation and analysis using advanced mathematics and statistical techniques.

The objective of this special issue is to provide a snapshot of status, potentials, challenges, and achievements of mathematical application in using remote sensing data to address environmental issues.

Potential topics include but are not limited to the following:

  • Remote sensing image analysis and interpretation
  • Remote sensing data fusion into numerical modelling
  • Remote sensing heat, water, and carbon states and fluxes
  • Remote sensing environmental hazards and quality

Articles

  • Special Issue
  • - Volume 2017
  • - Article ID 7430658
  • - Editorial

Mathematics in Utilizing Remote Sensing Data for Investigating and Modelling Environmental Problems

Hasi Bagan | Ram Avtar | ... | Huade Guan
  • Special Issue
  • - Volume 2017
  • - Article ID 4787054
  • - Research Article

An Integrated Field and Hyperspectral Remote Sensing Method for the Estimation of Pigments Content of Stipa Purpurea in Shenzha, Tibet

Bo Kong | Bing He | ... | Yu Liu
  • Special Issue
  • - Volume 2017
  • - Article ID 2183585
  • - Research Article

Dynamic Changes Analysis and Hotspots Detection of Land Use in the Central Core Functional Area of Jing-Jin-Ji from 2000 to 2015 Based on Remote Sensing Data

Yafei Li | Gaohuan Liu | Chong Huang
  • Special Issue
  • - Volume 2017
  • - Article ID 9206963
  • - Research Article

Dynamic Changes of Typical Blowouts Based on High-Resolution Data: A Case Study in Hulunbuir Sandy Land, China

Yi Yang | Chao Guan | Eerdun Hasi
  • Special Issue
  • - Volume 2017
  • - Article ID 9745264
  • - Research Article

Analysis of the Spatial Variation of Soil Salinity and Its Causal Factors in China’s Minqin Oasis

Tana Qian | Atsushi Tsunekawa | ... | Tao Wang
  • Special Issue
  • - Volume 2017
  • - Article ID 4728425
  • - Research Article

Hierarchical Sea-Land Segmentation for Panchromatic Remote Sensing Imagery

Long Ma | Nouman Q. Soomro | ... | Guanqun Wang
  • Special Issue
  • - Volume 2017
  • - Article ID 7901692
  • - Research Article

A Subpixel Matching Method for Stereovision of Narrow Baseline Remotely Sensed Imagery

Ning Ma | Peng-fei Sun | ... | Xiang Li
  • Special Issue
  • - Volume 2017
  • - Article ID 2819795
  • - Research Article

Implications of a Spatial Multicriteria Decision Analysis for Urban Development in Ulaanbaatar, Mongolia

Purevtseren Myagmartseren | Myagmarsuren Buyandelger | S. Anders Brandt
  • Special Issue
  • - Volume 2017
  • - Article ID 5032091
  • - Research Article

Detection of Decreasing Vegetation Cover Based on Empirical Orthogonal Function and Temporal Unmixing Analysis

Di Xu | Ruishan Chen | ... | Wenpeng Lin
  • Special Issue
  • - Volume 2017
  • - Article ID 8098029
  • - Research Article

Feasibility of Oil Slick Detection Using BeiDou-R Coastal Simulation

Yun Zhang | Shanshan Chen | ... | Jing Wang
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate27%
Submission to final decision64 days
Acceptance to publication34 days
CiteScore1.800
Impact Factor1.009
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