scholarly journals Acknowledgement for Reviewers Volume 30 2016

2016 ◽  
Vol 30 (2) ◽  
Author(s):  
Editors Forum Geografi
Keyword(s):  
Earth Sciences ◽  
Remote Sensing ◽  
Research And Development ◽  
Information Science ◽  
Earth Science ◽  
River Basin Management ◽  
State University ◽  
National University ◽  
Editorial Decision ◽  
Development Center

The editors of Forum Geografi would like to express their sincere gratitude to the following reviewers for assessing manuscripts in Volume 30 2016. Prof. Dr. Junun Sartohadi, Universitas Gadjah Mada, IndonesiaProf. Dr. Ir. Hidayat Pawitan, Department of Geophysics and Meteorology, Bogor Agricultural University, IndonesiaDr Muhammad Kamal, UGM, IndonesiaSupari, BMKG Indonesia, Indonesia; Universiti Kebangsaan Malaysia, School of Environmental and Natural Resource Sciences, Bangi, MalaysiaMuhammad Haikal Karana Sitepu, University of Leeds, United KingdomDr. Yanto, Civil, Universitas Jenderal Soedirman, Indonesia R Muhammad Amin Sunarhadi, Universitas Muhammadiyah SurakartaDr. Sukamdi, IndonesiaDr. Peter Oberle, Institute for Water and River Basin Management (IWG)Karlsruhe Institute for Technology (KIT)KarlsruheGermany, GermanyProf. Dr. Muhammad Aris Marfai, Universitas Gadjah MadaDr. Pramaditya Wicaksono, Cartography and Remote Sensing Dept. of Geographic Information Science Faculty of Geography Universitas Gadjah Mada, IndonesiaDr. Sushil K. Joshi, Indian Institute of Remote Sensing (India), IndiaDr. Djati Mardiatno, UGM, IndonesiaDr. Purnama Budi Santosa, Gadjah Mada University, IndonesiaDr. Donaldi S. Permana, Center for Research and Development Indonesian Agency for Meteorology Climatology and Geophysics (BMKG); Byrd Polar and Climate Research Center and School of Earth Sciences, Ohio State University, Columbus, Ohio, USA, IndonesiaA Cipta, Geological Agency of Indonesia, Jalan Diponegoro No. 57, Bandung 40122, Indonesia Australian National University, Research School of Earth Sciences, Building 142, Mills Road, Canberra, ACT 0200, Australia, AustraliaDr Takanori Horii, Research and Development Center for Global Change (RCGC), Strategic Research and Development Area, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Kanagawa, Japan, JapanHari Agung Adrianto, Institute Pertanian Bogor, IndonesiaDr. Adriana García-Rama, Department of Land, Environment, Agriculture and Forestry, University of Padova, Italy, ItalyDr. Kuswaji Dwi Priyono, Fak Geografi UMS, IndonesiaDr. Rini Rachmawati, Faculty of Geography, Universitas Gajah Mada, IndonesiaDr. Dyah R Hisbaron ,Faculty of Geography, Universitas Gajah MadaDr. Saut Sagala, Intitut Teknologi Bandung, Indonesia We greatly appreciate the contribution of expert reviewer, which is crucial to the journal’s editorial decision-making process and to the quality of the work that we publish.  

History of the Earth Sciences at Southeast Missouri State University

1985 ◽  
Vol 4 (1) ◽  
pp. 69-71
Author(s):  
Louis Unfer
Keyword(s):  
Earth Sciences ◽  
Earth Science ◽  
Science Department ◽  
State University ◽  
Mining Geology ◽  
The Earth ◽  
Southeast Missouri ◽  
History Of ◽  
And Mathematics ◽  
Science Major

The history of Southeast Missouri State University parallels that of other teacher education institutions. It started as Southeast Missouri Normal School in 1873 and reached university status in 1972. A department of Geology and Geography was established in 1909, becoming the Geography Department in 1915. In 1924, the sciences were combined into the Science Department. In 1960, this became the Division of Science and Mathematics and the Department of Earth Sciences was formed. An earth science major began in 1937, with separate geology and geography majors established in 1958. Recently the Department has developed more specialized, job-oriented programs in mining geology and in cartography. Since 1983 the Department has also operated a field camp, headquartered on the campus of Dixie College, St. George, Utah.

The Earth Sciences in a Small University

1985 ◽  
Vol 4 (1) ◽  
pp. 72-74
Author(s):  
James Corgan
Keyword(s):  
Earth Sciences ◽  
Earth Science ◽  
Small Colleges ◽  
State University ◽  
Small School ◽  
Science Faculty ◽  
The Earth

Austin Peay State University is a small school, founded 56 years ago. While geology has long been taught, major programs are less than a decade old. Despite small size and shallow historical roots, the earth science faculty have been able to participate in the evolution of American geology through publication and through work on NSF projects. Many small colleges have comparable histories.

scholarly journals NASA Global Satellite and Model Data Products and Services for Tropical Meteorology and Climatology

2020 ◽  
Vol 12 (17) ◽  
pp. 2821
Author(s):  
Zhong Liu ◽  
Chung-Lin Shie ◽  
Angela Li ◽  
David Meyer
Keyword(s):  
Earth Sciences ◽  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Earth Science ◽  
Data Access ◽  
Tropical Meteorology ◽  
Distribution Analysis ◽  
Model Data ◽  
Science Data ◽  
Data Products

Satellite remote sensing and model data play an important role in research and applications of tropical meteorology and climatology over vast, data-sparse oceans and remote continents. Since the first weather satellite was launched by NASA in 1960, a large collection of NASA’s Earth science data is freely available to the research and application communities around the world, significantly improving our overall understanding of the Earth system and environment. Established in the mid-1980s, the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), located in Maryland, USA, is a data archive center for multidisciplinary, satellite and model assimilation data products. As one of the 12 NASA data centers in Earth sciences, GES DISC hosts several important NASA satellite missions for tropical meteorology and climatology such as the Tropical Rainfall Measuring Mission (TRMM), the Global Precipitation Measurement (GPM) Mission and the Modern-Era Retrospective analysis for Research and Applications (MERRA). Over the years, GES DISC has developed data services to facilitate data discovery, access, distribution, analysis and visualization, including Giovanni, an online analysis and visualization tool without the need to download data and software. Despite many efforts for improving data access, a significant number of challenges remain, such as finding datasets and services for a specific research topic or project, especially for inexperienced users or users outside the remote sensing community. In this article, we list and describe major NASA satellite remote sensing and model datasets and services for tropical meteorology and climatology along with examples of using the data and services, so this may help users better utilize the information in their research and applications.

scholarly journals An Efficient Hierarchical Representation Approach of Remote Sensing Application Modeling Based on Distributed Environment

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Quan Zou ◽  
Wenyang Yu ◽  
Guoqing Li
Keyword(s):  
Remote Sensing ◽  
Land Surface ◽  
Information Science ◽  
Earth Science ◽  
Soil Drought ◽  
Inversion Method ◽  
Application Process ◽  
Land Surface Parameter ◽  
The Face ◽  
Sensing Model

In Earth science, information science, space science, and other disciplines, scientists use the land surface parameter inversion method in their work, applying this to the atmosphere, vegetation, soil, drought, and so on. Multidisciplinary experts sometimes collaborate on a particular application. However, these remote sensing models do not have a unified method of description and management and cannot effectively achieve the sharing of models and data resources. It is also hard to meet user demand for global data and models in the current state, especially in the face of global problems and long-term series problems. In this paper, we examine the scientific questions of the computability and scalability of remote sensing models. This paper adopts a data dependency approach to describe a remote sensing model and implements a hierarchical unified description and management method using modelling based on four layers: a data-processing view, an atomic model view, an on-demand resource package view, and a workflow view. We choose three typical remote sensing models for disaster monitoring as use cases and describe the practical application process of the proposed method. The results demonstrate the advantages and powerful capabilities of this efficient method.

Sign in / Sign up

Export Citation Format

Share Document