scholarly journals Intangible economic benefit of remote sensing data in Indonesia

2020 ◽  
Vol 9 (7) ◽  
pp. 150-159
Author(s):  
Shinta Rahma Diana ◽  
Ida Musdafia Ibrahim
Keyword(s):  
Remote Sensing ◽  
Information Quality ◽  
Remote Sensing Data ◽  
Economic Benefits ◽  
Information Value ◽  
System Quality ◽  
Space Agency ◽  
Information Value Model ◽  
Sense Of Satisfaction ◽  
Depth Interviews

Indonesian National Institute of Aeronautics and Space (LAPAN) as a space ecosystem runner government institution of the space agency in Indonesia is mandated by Indonesia space law of 2013 to carry out remote sensing activities that are not only strategic nationally in nature but also charged being benefits economically. This study investigated the intangible economic benefits of remote sensing activities in Indonesia. This research explored qualitatively the advantage of the use of remote sensing information by users obtained from the results of questionnaires and in-depth interviews. The conceptual framework of intangible benefit is based on the information system success model by the De-Lone and McLean Information Value model. The results showed that the quality of remote sensing was good. This can be seen from most responses of user respondents on the Perceived System Quality and Information Quality indicators giving a good rating. The response of the user respondents caused a sense of satisfaction and also caused the use of the system to be more intense. These had a good impact on the performance of respondents, both individually and organizationally. Strengthened by in-depth interviews showed that economically provide benefits with an average of 64% increasing in the efficiency of the performance by Agriculture and Palm Oil sectors. In short, space agency in Indonesia is proven to provide intangible economic benefits on remote sensing activities.

scholarly journals Testing and Validating the Suitability of Geospatially Informed Proxies on Land Tenure in North Korea for Korean (Re-)Unification

2021 ◽  
Vol 13 (7) ◽  
pp. 1301
Author(s):  
Cheonjae Lee ◽  
Walter Timo de de Vries
Keyword(s):  
Remote Sensing ◽  
Land Tenure ◽  
North Korea ◽  
Information Quality ◽  
Remote Sensing Data ◽  
Geospatial Data ◽  
Legal Analysis ◽  
Land Administration ◽  
Main Challenge ◽  
Technical Assessment

The role of remote sensing data in detecting, estimating, and monitoring socioeconomic status (SES) such as quality of life dimensions and sustainable development prospects has received increased attention. Geospatial data has emerged as powerful source of information for enabling both socio-technical assessment and socio-legal analysis in land administration domain. In the context of Korean (re-)unification, there is a notable paucity of evidence how to identify unknowns in North Korea. The main challenge is the lack of complete and adequate information when it comes to clarifying unknown land tenure relations and land governance arrangements. Deriving informative land tenure relations from geospatial data in line with socio-economic land attributes is currently the most innovative approach. In-close and in-depth investigations of validating the suitability of a set of geospatially informed proxies combining multiple values were taken into consideration, as were the forms of knowledge co-production. Thus, the primary aim is to provide empirical evidence of whether proposed proxies are scientifically valid, policy-relevant, and socially robust. We revealed differences in the distributions of agreements relating to land ownership and land transfer rights identification among scientists, bureaucrats, and stakeholders. Moreover, we were able to measure intrinsic, contextual, representational, and accessibility attributes of information quality regarding the associations between earth observation (EO) data and land tenure relations in North Korea from a number of different viewpoints. This paper offers valuable insights into new techniques for validating suitability of EO data proxies in the land administration domain off the reliance on conventional practices formed and customized to the specific artefacts and guidelines of the remote sensing community.

scholarly journals МАСШТАБНО-ЗАВИСИМЫЕ ЭФФЕКТЫ В СТРУКТУРЕ ЭКОЛОГИЧЕСКОЙ НИШИ ЛЕБЕДЯ-ШИПУНА CYGNUSOLOR (GMELIN, 1803) В ПЕРИОД ЗИМОВКИ В ПРЕДЕЛАХ ЗАЛИВА СИВАШ

2016 ◽  
Vol 6 (3) ◽  
pp. 234-247
Author(s):  
A. Yu. Andrushenko ◽  
A. V. Zhukov
Keyword(s):  
Remote Sensing ◽  
Ecological Niche ◽  
Random Distribution ◽  
Vegetation Indices ◽  
Remote Sensing Data ◽  
Information Value ◽  
Landsat 8 ◽  
Digital Elevation ◽  
Elevation Model

<p>The assessment of the information value of ecogeographical predictors based on remote sensing data from satellites to reflect features of the ecological niche of the Swan-mute <em>Cygnus up</em> (Gmelina, 1803) in wintering within the Gulf Sivash have been presented. Two groups predictors of ecogeographical landscape data have been considered. The first group is assigned digital elevation model and its derivatives. The second set of classified vegetation indices obtained from Landsat 8 image. Ecological niche has been described using ENFA-procedure. The procedure of random distribution of the pseudo-absent points which range from the presence points restricted by some distance has been applied to assess the role of scale in ecological niche. Ecological niche of Swan mute has been shown to be described in terms of landscape ecogeographical variables. The properties of the ecological niche of the Swan-mute have been found to be depends upon the scale of its consideration. Under various boundary ranges we can get an entirely different, but statistically valid, assess the structure of the ecological niche of the Swan-mute based landscape ecogeographical predictors. The role of the various ecogeographical predictors depending on the scale can vary greatly.</p>

The current use of remote-sensing data in peat, soil, land-cover and crop inventories in Scotland

1983 ◽  
Vol 309 (1508) ◽  
pp. 271-281 ◽  
Keyword(s):  
Remote Sensing ◽  
Peat Soil ◽  
European Space Agency ◽  
Remote Sensing Data ◽  
Vegetation Mapping ◽  
Soil Survey ◽  
Crop Monitoring ◽  
Sensing Data ◽  
Space Agency ◽  
Natural Resource Surveys

The remote-sensing methodology developed, at the Macaulay Institute, for natural resource surveys is introduced and some recent mapping and environmental monitoring projects are reviewed. These include peat resource and peatland vegetation mapping in Lewis and North Harris, crop monitoring in Kincardineshire and landcover mapping in the Buchan Area of Grampian Region, NE Scotland. The current use of remote-sensing data by the Peat Survey Section and the Soil Survey Department is reviewed for peat, soil and vegetation mapping. The principal current projects, which include the D.A.F.S. Bracken Survey of Scotland, the AGRISPINE Experiment for the U.K. National Remote Sensing Centre at R.A.E. Farnborough and the SAR 580 Experiment for the European Space Agency, are discussed.

scholarly journals SENTINEL-1 AND SENTINEL-2 DATA FUSION FOR WETLANDS MAPPING: BALIKDAMI, TURKEY

2018 ◽  
Vol XLII-3 ◽  
pp. 729-734 ◽  
Author(s):  
G. Kaplan ◽  
U. Avdan
Keyword(s):  
Remote Sensing ◽  
Classification Accuracy ◽  
Vegetation Indices ◽  
Remote Sensing Data ◽  
Economic Benefits ◽  
Future Research ◽  
Wetland Classification ◽  
Optical Remote Sensing ◽  
Data Set ◽  
Sentinel 2

Wetlands provide a number of environmental and socio-economic benefits such as their ability to store floodwaters and improve water quality, providing habitats for wildlife and supporting biodiversity, as well as aesthetic values. Remote sensing technology has proven to be a useful and frequent application in monitoring and mapping wetlands. Combining optical and microwave satellite data can help with mapping and monitoring the biophysical characteristics of wetlands and wetlands` vegetation. Also, fusing radar and optical remote sensing data can increase the wetland classification accuracy.<br> In this paper, data from the fine spatial resolution optical satellite, Sentinel-2 and the Synthetic Aperture Radar Satellite, Sentinel-1, were fused for mapping wetlands. Both Sentinel-1 and Sentinel-2 images were pre-processed. After the pre-processing, vegetation indices were calculated using the Sentinel-2 bands and the results were included in the fusion data set. For the classification of the fused data, three different classification approaches were used and compared.<br> The results showed significant improvement in the wetland classification using both multispectral and microwave data. Also, the presence of the red edge bands and the vegetation indices used in the data set showed significant improvement in the discrimination between wetlands and other vegetated areas. The statistical results of the fusion of the optical and radar data showed high wetland mapping accuracy, showing an overall classification accuracy of approximately 90&amp;thinsp;% in the object-based classification method. For future research, we recommend multi-temporal image use, terrain data collection, as well as a comparison of the used method with the traditional image fusion techniques.

scholarly journals ASSESMENT OF ATMOSPHERIC DUST CONTAMINATION WITH GROUND-BASED AND REMOTE SENSING METHODS (ON THE EXAMPLE OF THE TOWN OF TOBOLSK)

2021 ◽  
pp. 121-134
Author(s):  
Alexander A. Tigeev ◽  
◽  
Nikolay V. Aksenov ◽  
Dmitriy V. Moskovchenko ◽  
Roman Yu. Pozhitkov ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Snow Cover ◽  
Remote Sensing Data ◽  
Information Value ◽  
Petrochemical Plant ◽  
Insoluble Particles ◽  
Functional Zones ◽  
Long Time ◽  
The Town ◽  
Dust Load

Snow cover is an effective accumulator of dust fallout and provides objective information on the level of pollution, but its sampling in large areas takes a long time. The use of remote sensing data (RSD) makes it possible to significantly simplify the assessment of the dust load in the atmosphere. Based on RSD from the town of Tobolsk, we evaluated the information value of various indices used to assess the distribution and properties of snow cover (NDSI, normalized S3 index, and SCI). Data on dust load and physicochemical properties of the snow obtained during sampling and subsequent analysis were compared with the spectral properties of the snow cover. It was determined that the dust load in the town averaged 32,1 mg/m2 per day, which is approximately 8 times higher than the background values. The degree of alkalinization is moderate, an increase in pH and salinity of snowmelt waters is observed. In comparison with other functional zones of the town, no increase in dust fallout was detected in the industrial zone (Tobolsk Petrochemical Plant). The level of dustiness is maximum in the zone of multistory buildings and on the streets with the highest traffic intensity. It was established that spectral indices indicate the amount of solid impurities in snow and the level of alkalinization. A statistically significant correlation was found between the amount of insoluble particles in snow and the S3 index as well as between pH and the SCI index. The paper concludes that these indices can be used to assess the environmental situation in urbanized areas.

scholarly journals Application of multi-temporal Sentinel-1 SAR data for yield estimation of rice crops in An Giang, Vietnam

2022 ◽  
Vol 964 (1) ◽  
pp. 012007
Author(s):  
Hoang Phi Phung ◽  
Lam Dao Nguyen ◽  
Nguyen Van Anh Vu ◽  
Nguyen Kim Thanh ◽  
Le Van Trung
Keyword(s):  
Remote Sensing ◽  
Rice Yield ◽  
European Space Agency ◽  
Mekong Delta ◽  
Remote Sensing Data ◽  
Radar Remote Sensing ◽  
Sensing Data ◽  
Space Agency ◽  
Potential Applications ◽  
Multi Temporal

Abstract Rice is one of the main agricultural crops and plays an important role in food security. Therefore, it is essential to propose a method for monitoring the distribution of rice yield. Radar remote sensing data sources provide a sustainable solution for rice monitoring challenges in the countries located in the tropical monsoon region like Vietnam. The SAR (Synthetic Aperture Radar) remote sensing data from the Sentinel-1 satellite provided by the European Space Agency (ESA) is free of charge, has a large coverage and high spatial-temporal resolution. In this paper, rice growing areas in the An Giang province of Vietnam Mekong Delta were analyzed, which demonstrates the potential applications of multi-temporal data and proposes a method to estimate rice yield for agricultural management. The analysis results showed that in 2018 the Winter-Spring rice crop has the highest yield, and the Autumn-Winter crop has the lowest yield. Accurate and timely estimation of rice yield and production can provide important information in terms of spatial distribution and seasonal yield for government and decision-makers in policy making related to import and export.

EFFECT OF TOP MANAGEMENT SUPPORT, SYSTEM QUALITY, AND INFORMATION QUALITY ON SATISFACTION ACCOUNTING INFORMATION SYSTEM USERS IN LEMBAGA PERKREDITAN DESA (LPD) IN UBUD DISTRICT

2019 ◽  
Vol 1 (1) ◽  
pp. 123-142
Author(s):  
Sang Ayu Putu Arie Indraswarawati ◽  
I Putu Deddy Samtika Putra ◽  
Ni Wayan Cahyani
Keyword(s):  
Information System ◽  
Support System ◽  
User Satisfaction ◽  
Information Quality ◽  
Accounting Information ◽  
Top Management ◽  
Management Support ◽  
System Quality ◽  
Accounting Information System ◽  
Top Management Support

The use of Accounting Information System (AIS) is very helpful in accommodating all the information needed to make an accurate decision. Indicators in determining the good and bad performance of an information system can be seen through AIS user satisfaction and usage. The purpose of this study was to determine the effect of top management support, system quality and information quality on AIS user satisfaction. The sample selection method used was purposive sampling. The research sample was 147 people consisting of administrators, loan officers and savings at 29 Lembaga Perkreditan Desa (LPD) in Ubud Subdistrict. The data in this study is primary data which is the answer from the questionnaire. The regression results show that all variables have a significance of 0,000. It shows that top management support, system quality and information quality have positive influences on Accounting Information System user satisfaction.

Monitoring land use change in the Lake Taupo catchment between 1975, 1990 and 2002 using satellite remote sensing data

2007 ◽  
pp. 17-22
Author(s):  
H. Lilienthal ◽  
A. Brauer ◽  
K. Betteridge ◽  
E. Schnug
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
Satellite Remote Sensing ◽  
Remote Sensing Data ◽  
Native Vegetation ◽  
Lake Water Quality ◽  
Livestock Farming ◽  
Slow Decline

Conversion of native vegetation into farmed grassland in the Lake Taupo catchment commenced in the late 1950s. The lake's iconic value is being threatened by the slow decline in lake water quality that has become apparent since the 1970s. Keywords: satellite remote sensing, nitrate leaching, land use change, livestock farming, land management

Sign in / Sign up

Export Citation Format

Share Document