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.

scholarly journals EAGLE 2006 – Multi-purpose, multi-angle and multi-sensor in-situ and airborne campaigns over grassland and forest

2009 ◽  
Vol 13 (6) ◽  
pp. 833-845 ◽  
Author(s):  
Z. Su ◽  
W. J. Timmermans ◽  
C. van der Tol ◽  
R. Dost ◽  
R. Bianchi ◽  
...  
Keyword(s):  
The Netherlands ◽  
Land Surface ◽  
Information Science ◽  
Microwave Radiometer ◽  
European Space Agency ◽  
International Institute ◽  
Data Set ◽  
Field Campaign ◽  
Land Surface Parameter ◽  
Satellite Missions

Abstract. EAGLE2006 – an intensive field campaign for the advances in land surface hydrometeorological processes – was carried out in the Netherlands from 8th to 18th June 2006, involving 16 institutions with in total 67 people from 16 different countries. In addition to the acquisition of multi-angle and multi-sensor satellite data, several airborne instruments – an optical imaging sensor, an imaging microwave radiometer, and a flux airplane – were deployed and extensive ground measurements were conducted over one grassland site at Cabauw and two forest sites at Loobos and Speulderbos in the central part of the Netherlands. The generated data set is both unique and urgently needed for the development and validation of models and inversion algorithms for quantitative land surface parameter estimation and land surface hydrometeorological process studies. EAGLE2006 was led by the Department of Water Resources of the International Institute for Geo-Information Science and Earth Observation (ITC) and originated from the combination of a number of initiatives supported by different funding agencies. The objectives of the EAGLE2006 campaign were closely related to the objectives of other European Space Agency (ESA) campaign activities (SPARC2004, SEN2FLEX2005 and especially AGRISAR2006). However, one important objective of the EAGLE2006 campaign is to build up a data base for the investigation and validation of the retrieval of bio-geophysical parameters, obtained at different radar frequencies (X-, C- and L-Band) and at hyperspectral optical and thermal bands acquired simultaneously over contrasting vegetated fields (forest and grassland). As such, all activities were related to algorithm development for future satellite missions such as the Sentinels and for validation of retrievals of land surface parameters with optical and thermal and microwave sensors onboard current and future satellite missions. This contribution describes the campaign objectives and provides an overview of the airborne and field campaign dataset. This dataset is available for scientific investigations and can be accessed on the ESA Principal Investigator Portal http://eopi.esa.int/.

Regularized kernel-based BRDF model inversion method for ill-posed land surface parameter retrieval

2007 ◽  
Vol 111 (1) ◽  
pp. 36-50 ◽  
Author(s):  
Yanfei Wang ◽  
Xiaowen Li ◽  
Zuhair Nashed ◽  
Feng Zhao ◽  
Hua Yang ◽  
...  
Keyword(s):  
Land Surface ◽  
Inversion Method ◽  
Surface Parameter ◽  
Model Inversion ◽  
Land Surface Parameter ◽  
Ill Posed ◽  
Parameter Retrieval

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.  

Research on Geothermal Energy Using RS Land Surface Material with Temperature Inversion Technology

2013 ◽  
Vol 644 ◽  
pp. 33-36
Author(s):  
Jian Feng Li ◽  
Jian Ping Chen
Keyword(s):  
Remote Sensing ◽  
Land Surface ◽  
Geothermal Energy ◽  
Yunnan Province ◽  
Temperature Inversion ◽  
Inversion Method ◽  
Surface Material ◽  
Remote Sensing Images ◽  
Proper Method ◽  
Material Temperature

Taking Tengchong area in Yunnan Province as a study area and ASTER and ETM remote sensing images as research object, authors selected the proper method for the study area by Comparing the results of the Land Surface Material Temperature Inversion. The result shows that the ETM inversion method is more precise than the ASTER method. Both methods can meet the demand of temperature classification.

scholarly journals EAGLE 2006 – multi-purpose, multi-angle and multi-sensor in-situ, airborne and space borne campaigns over grassland and forest

2009 ◽  
Vol 6 (2) ◽  
pp. 1797-1841 ◽  
Author(s):  
Z. Su ◽  
W. J. Timmermans ◽  
C. van der Tol ◽  
R. J. J. Dost ◽  
R. Bianchi ◽  
...  
Keyword(s):  
The Netherlands ◽  
Land Surface ◽  
Information Science ◽  
Microwave Radiometer ◽  
European Space Agency ◽  
International Institute ◽  
Data Set ◽  
Field Campaign ◽  
Land Surface Parameter ◽  
Satellite Missions

Abstract. EAGLE2006 – an intensive field campaign for the advances in land surface hydrometeorological processes – was carried out in the Netherlands from 8 to 18 June 2006, involving 16 institutions with in total 67 people from 16 different countries. In addition to the acquisition of multi-angle and multi-sensor satellite data, several airborne instruments – an optical imaging sensor, an imaging microwave radiometer, and a flux airplane – were deployed and extensive ground measurements were conducted over one grassland site at Cabauw and two forest sites at Loobos and Speulderbos in the central part of the Netherlands. The generated data set is both unique and urgently needed for the development and validation of models and inversion algorithms for quantitative land surface parameter estimation and land surface hydrometeorological process studies. EAGLE2006 was led by the Department of Water Resources of the International Institute for Geo-Information Science and Earth Observation (ITC) and originated from the combination of a number of initiatives supported by different funding agencies. The objectives of the EAGLE2006 campaign were closely related to the objectives of other European Space Agency (ESA) campaign activities (SPARC2004, SEN2FLEX2005 and especially AGRISAR2006). However, one important objective of the EAGLE 2006 campaign is to build up a data base for the investigation and validation of the retrieval of bio-geophysical parameters, obtained at different radar frequencies (X-, C- and L-Band) and at hyperspectral optical and thermal bands acquired simultaneously over contrasting vegetated fields (forest and grassland). As such, all activities were related to algorithm development for future satellite missions such as the Sentinels and for validation of retrievals of land surface parameters with optical and thermal and microwave sensors onboard current and future satellite missions. This contribution describes the campaign objectives and provides an overview of the airborne and field campaign dataset. This dataset is available for scientific investigations and can be accessed on the ESA Principal Investigator Portal http://eopi.esa.int.

Developing Land-surface Evapotranspiration Remote Sensing Monitoring System Using the Component Technology

2011 ◽  
Vol 13 (5) ◽  
pp. 679-686
Author(s):  
Zhiqi QIAN ◽  
Youjing ZHANG ◽  
Shizan DENG ◽  
Yingying FANG ◽  
Chen CHEN
Keyword(s):  
Remote Sensing ◽  
Monitoring System ◽  
Land Surface ◽  
Component Technology ◽  
Remote Sensing Monitoring

Impact of LULC Changes on LST in Rajshahi District of Bangladesh: A Remote Sensing Approach

2020 ◽  
Vol 3 (1) ◽  
pp. 11-23 ◽  
Author(s):  
Abdulla Al Kafy ◽  
Abdullah Al-Faisal ◽  
Mohammad Mahmudul Hasan ◽  
Md. Soumik Sikdar ◽  
Mohammad Hasib Hasan Khan ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Surface Temperature ◽  
Land Surface ◽  
Agricultural Land ◽  
Global Climate ◽  
Urban Expansion ◽  
Water Bodies ◽  
Landsat 8 ◽  
Lulc Changes ◽  
The Impact

Urbanization has been contributing more in global climate warming, with more than 50% of the population living in cities. Rapid population growth and change in land use / land cover (LULC) are closely linked. The transformation of LULC due to rapid urban expansion significantly affects the functions of biodiversity and ecosystems, as well as local and regional climates. Improper planning and uncontrolled management of LULC changes profoundly contribute to the rise of urban land surface temperature (LST). This study evaluates the impact of LULC changes on LST for 1997, 2007 and 2017 in the Rajshahi district (Bangladesh) using multi-temporal and multi-spectral Landsat 8 OLI and Landsat 5 TM satellite data sets. The analysis of LULC changes exposed a remarkable increase in the built-up areas and a significant decrease in the vegetation and agricultural land. The built-up area was increased almost double in last 20 years in the study area. The distribution of changes in LST shows that built-up areas recorded the highest temperature followed by bare land, vegetation and agricultural land and water bodies. The LULC-LST profiles also revealed the highest temperature in built-up areas and the lowest temperature in water bodies. In the last 20 years, LST was increased about 13ºC. The study demonstrates decrease in vegetation cover and increase in non-evaporating surfaces with significantly increases the surface temperature in the study area. Remote-sensing techniques were found one of the suitable techniques for rapid analysis of urban expansions and to identify the impact of urbanization on LST.

Remote Sensing Based Assessment of Agricultural Droughts in Sub-Watersheds of Upper Bhima Basin, India

2019 ◽  
Vol 2 (2) ◽  
pp. 105-111 ◽  
Author(s):  
Nayan Zagade ◽  
Ajaykumar Kadam ◽  
Bhavana Umrikar ◽  
Bhagyashri Maggirwar
Keyword(s):  
Remote Sensing ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Agricultural Sector ◽  
Health Index ◽  
Drought Assessment ◽  
Drought Conditions ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Vegetation Health Index

Drought assessment for agricultural sector is vital in order to deal with the water scarcity in Ahmednagar and Pune districts, particularly in sub-watersheds of upper catchment of the River Bhima. Moderate Resolution Imaging Spectro-radiometer (MODIS) satellite data (2000, 2002, 2009, 2014, 2015 and 2017) for the years receiving less rainfall have been procured and various indices were computed to understand the intensity of agricultural droughts in the area. Vegetation health index (VHI) is computed on the basis of vegetation moisture, vegetation condition and land surface temperature condition. Most of the reviewed area shows moderate to extreme drought conditions.

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